Search.setIndex({"alltitles": {".dt accessor": [[2186, "dt-accessor"]], "1. Remove UUID and cell_ids": [[2207, "1.-Remove-UUID-and-cell_ids"]], "10 minutes to pandas": [[2184, null]], "2. Use table styles": [[2207, "2.-Use-table-styles"]], "3. Set classes instead of using Styler functions": [[2207, "3.-Set-classes-instead-of-using-Styler-functions"]], "4. Don\u2019t use tooltips": [[2207, "4.-Don't-use-tooltips"]], "5. If every byte counts use string replacement": [[2207, "5.-If-every-byte-counts-use-string-replacement"]], "ADBC Driver support in to_sql and read_sql": [[2307, "adbc-driver-support-in-to-sql-and-read-sql"]], "API changes": [[2214, "api-changes"], [2215, "api-changes"], [2216, "api-changes"], [2217, "api-changes"], [2218, "api-changes"], [2219, "api-changes"], [2220, "api-changes"], [2221, "api-changes"], [2223, "api-changes"], [2224, "api-changes"], [2226, "api-changes"], [2227, "api-changes"], [2229, "api-changes"], [2231, "api-changes"], [2232, "api-changes"], [2247, "api-changes"], [2263, "api-changes"], [2264, "api-changes"]], "API changes to integer indexing": [[2257, "api-changes-to-integer-indexing"]], "API reference": [[2172, null]], "API tweaks regarding label-based slicing": [[2257, "api-tweaks-regarding-label-based-slicing"]], "About docstrings and standards": [[3, "about-docstrings-and-standards"]], "About the pandas documentation": [[4, "about-the-pandas-documentation"]], "Accelerated operations": [[2186, "accelerated-operations"]], "Access data in the cloud": [[22, "access-data-in-the-cloud"]], "Accessing datetime fields of Index now return Index": [[2235, "accessing-datetime-fields-of-index-now-return-index"]], "Accessing the values in a Series or Index": [[2246, "accessing-the-values-in-a-series-or-index"]], "Accessors": [[2180, "accessors"]], "Acknowledgments": [[6, "acknowledgments"]], "Acting on Data": [[2207, "Acting-on-Data"]], "Acting on the Index and Column Headers": [[2207, "Acting-on-the-Index-and-Column-Headers"]], "Added check_freq argument to testing.assert_frame_equal and testing.assert_series_equal": [[2271, "added-check-freq-argument-to-testing-assert-frame-equal-and-testing-assert-series-equal"]], "Added support for new Python version": [[2274, "added-support-for-new-python-version"]], "Adding a row": [[17, "adding-a-row"]], "Adding an ad hoc index": [[2197, "adding-an-ad-hoc-index"]], "Adding margins": [[2204, "adding-margins"], [2204, "id1"]], "Addition of str.extractall": [[2230, "addition-of-str-extractall"]], "Addition/subtraction of NaN from DataFrame": [[2246, "addition-subtraction-of-nan-from-dataframe"]], "Additional methods for dt accessor": [[2228, "additional-methods-for-dt-accessor"]], "Advanced SQLAlchemy queries": [[2199, "advanced-sqlalchemy-queries"]], "Advanced indexing with hierarchical index": [[2185, "advanced-indexing-with-hierarchical-index"]], "Advanced queries": [[2199, "advanced-queries"]], "Advanced reindexing and alignment": [[2185, "advanced-reindexing-and-alignment"]], "Aggregating statistics": [[28, "aggregating-statistics"]], "Aggregating statistics grouped by category": [[28, "aggregating-statistics-grouped-by-category"]], "Aggregating with a dict": [[2186, "aggregating-with-a-dict"]], "Aggregating with multiple functions": [[2186, "aggregating-with-multiple-functions"]], "Aggregation": [[16, "aggregation"], [19, "aggregation"], [2195, "aggregation"], [2210, "aggregation"]], "Aggregation API": [[2186, "aggregation-api"]], "Aggregation with User-Defined Functions": [[2195, "aggregation-with-user-defined-functions"]], "Aligning objects with each other with align": [[2186, "aligning-objects-with-each-other-with-align"]], "All dtypes can now be converted to StringDtype": [[2271, "all-dtypes-can-now-be-converted-to-stringdtype"]], "Allow NA in groupby key": [[2271, "allow-na-in-groupby-key"]], "Alternate constructors": [[2191, "alternate-constructors"]], "Ambiguous times when localizing": [[2210, "ambiguous-times-when-localizing"]], "Anchored offset semantics": [[2210, "anchored-offset-semantics"]], "Anchored offsets": [[2210, "anchored-offsets"]], "Andrews curves": [[2211, "andrews-curves"]], "Appending new categories": [[2188, "appending-new-categories"]], "Appending rows to a DataFrame": [[2200, "appending-rows-to-a-dataframe"]], "Applying different functions to DataFrame columns": [[2195, "applying-different-functions-to-dataframe-columns"]], "Applying elementwise functions": [[2186, "applying-elementwise-functions"]], "Applying multiple functions at once": [[2195, "applying-multiple-functions-at-once"]], "Area plot": [[2211, "area-plot"]], "Argument combinations": [[1406, "id1"]], "Argument dtype_backend, to return pyarrow-backed or numpy-backed nullable dtypes": [[2298, "argument-dtype-backend-to-return-pyarrow-backed-or-numpy-backed-nullable-dtypes"]], "Arithmetic operations": [[2240, "arithmetic-operations"]], "Arithmetic operators": [[2232, "arithmetic-operators"]], "Arithmetic with 3rd party types": [[10, "arithmetic-with-3rd-party-types"]], "Assembling datetime from multiple DataFrame columns": [[2210, "assembling-datetime-from-multiple-dataframe-columns"]], "Assembling datetimes": [[2231, "assembling-datetimes"]], "Assertion functions": [[2182, "assertion-functions"]], "Assigning new columns in method chains": [[2191, "assigning-new-columns-in-method-chains"]], "Assignment to multiple columns of a DataFrame when some columns do not exist": [[2271, "assignment-to-multiple-columns-of-a-dataframe-when-some-columns-do-not-exist"]], "Attribute access": [[2197, "attribute-access"]], "Attributes": [[2180, "attributes"], [2209, "attributes"]], "Attributes and underlying data": [[2169, "attributes-and-underlying-data"], [2186, "attributes-and-underlying-data"]], "Autocorrelation plot": [[2211, "autocorrelation-plot"]], "Automatic date tick adjustment": [[2211, "automatic-date-tick-adjustment"]], "Automatically \u201csniffing\u201d the delimiter": [[2199, "automatically-sniffing-the-delimiter"]], "Available options": [[2202, "available-options"]], "Avoid NumPy object dtype for strings by default": [[2302, "avoid-numpy-object-dtype-for-strings-by-default"]], "Avoid using names from MultiIndex.levels": [[2265, "avoid-using-names-from-multiindex-levels"]], "BQuarterBegin": [[2176, "bquarterbegin"]], "BQuarterEnd": [[2176, "bquarterend"]], "BYearBegin": [[2176, "byearbegin"]], "BYearEnd": [[2176, "byearend"]], "Background Gradient and Text Gradient": [[2207, "Background-Gradient-and-Text-Gradient"]], "Backporting": [[13, "backporting"]], "Backward resample": [[2210, "backward-resample"]], "Backwards compatibility": [[2, "backwards-compatibility"]], "Backwards incompatible API changes": [[2222, "backwards-incompatible-api-changes"], [2225, "backwards-incompatible-api-changes"], [2228, "backwards-incompatible-api-changes"], [2230, "backwards-incompatible-api-changes"], [2235, "backwards-incompatible-api-changes"], [2238, "backwards-incompatible-api-changes"], [2240, "backwards-incompatible-api-changes"], [2241, "backwards-incompatible-api-changes"], [2246, "backwards-incompatible-api-changes"], [2249, "backwards-incompatible-api-changes"], [2265, "backwards-incompatible-api-changes"], [2271, "backwards-incompatible-api-changes"], [2283, "backwards-incompatible-api-changes"], [2289, "backwards-incompatible-api-changes"], [2294, "backwards-incompatible-api-changes"], [2298, "backwards-incompatible-api-changes"], [2302, "backwards-incompatible-api-changes"]], "Bar charts": [[2207, "Bar-charts"]], "Bar plots": [[2211, "bar-plots"]], "Base R": [[15, "base-r"]], "Basic": [[2199, "basic"]], "Basic data structures in pandas": [[2184, "basic-data-structures-in-pandas"]], "Basic indexing on axis with MultiIndex": [[2185, "basic-indexing-on-axis-with-multiindex"]], "Basic plotting: plot": [[2211, "basic-plotting-plot"]], "Basics": [[2197, "basics"], [2210, "basics"]], "Becoming a pandas maintainer": [[13, "becoming-a-pandas-maintainer"]], "Behavior differences": [[2208, "behavior-differences"]], "Behavior of concat with empty or all-NA DataFrame columns": [[2292, "behavior-of-concat-with-empty-or-all-na-dataframe-columns"]], "Behavior of groupby with categorical groupers (GH 48645)": [[2295, "behavior-of-groupby-with-categorical-groupers-gh-48645"]], "Benchmark machine": [[13, "benchmark-machine"]], "Better pretty-printing of DataFrames in a terminal": [[2241, "better-pretty-printing-of-dataframes-in-a-terminal"]], "Better repr for MultiIndex": [[2249, "better-repr-for-multiindex"]], "Better support for compressed URLs in read_csv": [[2235, "better-support-for-compressed-urls-in-read-csv"]], "Binary Excel (.xlsb) files": [[2199, "binary-excel-xlsb-files"]], "Binary operator functions": [[2169, "binary-operator-functions"], [2180, "binary-operator-functions"]], "Binary ufuncs on Series now align": [[2249, "binary-ufuncs-on-series-now-align"]], "Binary window functions": [[2212, "binary-window-functions"]], "Binning data with cut and qcut": [[2185, "binning-data-with-cut-and-qcut"]], "Bitwise boolean": [[2194, "bitwise-boolean"]], "Boolean data type with missing values support": [[2265, "boolean-data-type-with-missing-values-support"]], "Boolean indexing": [[2184, "boolean-indexing"], [2197, "boolean-indexing"]], "Boolean operators": [[2197, "boolean-operators"]], "Boolean reductions": [[2186, "boolean-reductions"]], "Boolean values": [[2199, "boolean-values"]], "Bootstrap plot": [[2211, "bootstrap-plot"]], "Box plots": [[2211, "box-plots"]], "Breaking changes": [[2222, "breaking-changes"]], "Bug fixes": [[2217, "bug-fixes"], [2218, "bug-fixes"], [2219, "bug-fixes"], [2220, "bug-fixes"], [2221, "bug-fixes"], [2222, "bug-fixes"], [2223, "bug-fixes"], [2224, "bug-fixes"], [2225, "bug-fixes"], [2226, "bug-fixes"], [2227, "bug-fixes"], [2228, "bug-fixes"], [2229, "bug-fixes"], [2230, "bug-fixes"], [2231, "bug-fixes"], [2232, "bug-fixes"], [2233, "bug-fixes"], [2234, "bug-fixes"], [2235, "bug-fixes"], [2236, "bug-fixes"], [2237, "bug-fixes"], [2238, "bug-fixes"], [2239, "bug-fixes"], [2241, "bug-fixes"], [2242, "bug-fixes"], [2243, "bug-fixes"], [2245, "bug-fixes"], [2246, "bug-fixes"], [2247, "bug-fixes"], [2248, "bug-fixes"], [2249, "bug-fixes"], [2250, "bug-fixes"], [2251, "bug-fixes"], [2252, "bug-fixes"], [2265, "bug-fixes"], [2266, "bug-fixes"], [2267, "bug-fixes"], [2268, "bug-fixes"], [2269, "bug-fixes"], [2270, "bug-fixes"], [2271, "bug-fixes"], [2272, "bug-fixes"], [2273, "bug-fixes"], [2274, "bug-fixes"], [2275, "bug-fixes"], [2276, "bug-fixes"], [2277, "bug-fixes"], [2278, "bug-fixes"], [2279, "bug-fixes"], [2283, "bug-fixes"], [2284, "bug-fixes"], [2285, "bug-fixes"], [2286, "bug-fixes"], [2287, "bug-fixes"], [2289, "bug-fixes"], [2290, "bug-fixes"], [2291, "bug-fixes"], [2292, "bug-fixes"], [2293, "bug-fixes"], [2294, "bug-fixes"], [2295, "bug-fixes"], [2296, "bug-fixes"], [2297, "bug-fixes"], [2298, "bug-fixes"], [2299, "bug-fixes"], [2300, "bug-fixes"], [2301, "bug-fixes"], [2302, "bug-fixes"], [2303, "bug-fixes"], [2304, "bug-fixes"], [2305, "bug-fixes"], [2306, "bug-fixes"], [2307, "bug-fixes"], [2308, "bug-fixes"], [2309, "bug-fixes"], [2310, "bug-fixes"]], "Bug in QuarterBegin with n=0": [[2230, "bug-in-quarterbegin-with-n-0"]], "Bug report function": [[2182, "bug-report-function"]], "Bug reports and enhancement requests": [[1, "bug-reports-and-enhancement-requests"]], "Build": [[2283, "build"]], "Build changes": [[2241, "build-changes"], [2243, "build-changes"], [2246, "build-changes"], [2249, "build-changes"], [2265, "build-changes"]], "Building main branch documentation": [[4, "building-main-branch-documentation"]], "Building the documentation": [[4, "building-the-documentation"]], "Built-in aggregation methods": [[2195, "built-in-aggregation-methods"]], "Built-in filtrations": [[2195, "built-in-filtrations"]], "Built-in transformation methods": [[2195, "built-in-transformation-methods"]], "Builtin Styles": [[2207, "Builtin-Styles"]], "Builtin styles": [[2181, "builtin-styles"]], "Business hour": [[2210, "business-hour"]], "BusinessDay": [[2176, "businessday"]], "BusinessHour": [[2176, "businesshour"]], "BusinessMonthBegin": [[2176, "businessmonthbegin"]], "BusinessMonthEnd": [[2176, "businessmonthend"]], "By default Categorical.min() now returns the minimum instead of np.nan": [[2265, "by-default-categorical-min-now-returns-the-minimum-instead-of-np-nan"]], "By group processing": [[16, "by-group-processing"], [19, "by-group-processing"]], "By index": [[2186, "by-index"]], "By indexes and values": [[2186, "by-indexes-and-values"]], "By values": [[2186, "by-values"]], "Byte-ordering issues": [[2194, "byte-ordering-issues"]], "CSS Classes and Ids": [[2207, "CSS-Classes-and-Ids"]], "CSS Hierarchies": [[2207, "CSS-Hierarchies"]], "CSV": [[17, "csv"], [2184, "csv"]], "CSV & text files": [[2199, "csv-text-files"]], "Calamine (Excel and ODS files)": [[2199, "calamine-excel-and-ods-files"]], "Calamine engine for read_excel()": [[2307, "calamine-engine-for-read-excel"]], "Calculations with missing data": [[2201, "calculations-with-missing-data"]], "Calendar": [[0, "calendar"]], "Calling NumPy ufuncs on non-aligned DataFrames": [[2278, "calling-numpy-ufuncs-on-non-aligned-dataframes"]], "Can I come back to a previous workspace?": [[6, "can-i-come-back-to-a-previous-workspace"]], "Can I install additional VSCode extensions?": [[6, "can-i-install-additional-vscode-extensions"]], "Categorical": [[2236, "categorical"], [2237, "categorical"], [2238, "categorical"], [2239, "categorical"], [2241, "categorical"], [2246, "categorical"], [2249, "categorical"], [2250, "categorical"], [2265, "categorical"], [2271, "categorical"], [2277, "categorical"], [2283, "categorical"], [2289, "categorical"], [2294, "categorical"], [2298, "categorical"], [2302, "categorical"], [2307, "categorical"]], "Categorical accessor": [[2180, "categorical-accessor"]], "Categorical changes": [[2225, "categorical-changes"]], "Categorical components": [[2173, "categorical-components"]], "Categorical concatenation": [[2232, "categorical-concatenation"]], "Categorical data": [[2188, null], [2199, "categorical-data"], [2199, "io-stata-categorical"]], "Categorical dtypes are preserved during GroupBy": [[2249, "categorical-dtypes-are-preserved-during-groupby"]], "Categorical index": [[2188, "categorical-index"]], "Categorical is not a numpy array": [[2188, "categorical-is-not-a-numpy-array"]], "Categorical.argsort now places missing values at the end": [[2249, "categorical-argsort-now-places-missing-values-at-the-end"]], "Categorical.rename_categories accepts a dict-like": [[2238, "categorical-rename-categories-accepts-a-dict-like"]], "Categorical.unique now always maintains same dtype as original": [[2283, "categorical-unique-now-always-maintains-same-dtype-as-original"]], "CategoricalDtype": [[2188, "categoricaldtype"]], "CategoricalDtype for specifying categoricals": [[2238, "categoricaldtype-for-specifying-categoricals"]], "CategoricalIndex": [[2173, "categoricalindex"], [2185, "categoricalindex"], [2226, "categoricalindex"]], "Categoricals": [[2167, "categoricals"], [2184, "categoricals"]], "Categoricals in Series/DataFrame": [[2222, "categoricals-in-series-dataframe"]], "Caveats": [[2193, "caveats"], [2199, "caveats"]], "Cell converters": [[2199, "cell-converters"]], "Centered datetime-like rolling windows": [[2283, "centered-datetime-like-rolling-windows"]], "Centering windows": [[2212, "centering-windows"]], "Chained Assignment": [[2190, "chained-assignment"]], "Chained assignment": [[2307, "chained-assignment"]], "Change in default floating precision for read_csv and read_table": [[2277, "change-in-default-floating-precision-for-read-csv-and-read-table"]], "Changes in read_csv exceptions": [[2231, "changes-in-read-csv-exceptions"]], "Changes in timedelta": [[2225, "changes-in-timedelta"]], "Changes to Categorical.unique": [[2228, "changes-to-categorical-unique"]], "Changes to Excel with MultiIndex": [[2228, "changes-to-excel-with-multiindex"]], "Changes to Index comparisons": [[2228, "changes-to-index-comparisons"]], "Changes to Series [] operator": [[2257, "changes-to-series-operator"]], "Changes to bool passed as header in parsers": [[2228, "changes-to-bool-passed-as-header-in-parsers"]], "Changes to boolean comparisons vs. None": [[2228, "changes-to-boolean-comparisons-vs-none"]], "Changes to display.precision option": [[2228, "changes-to-display-precision-option"]], "Changes to dtype assignment behaviors": [[2230, "changes-to-dtype-assignment-behaviors"]], "Changes to eval": [[2230, "changes-to-eval"]], "Changes to make output of DataFrame.apply consistent": [[2241, "changes-to-make-output-of-dataframe-apply-consistent"]], "Changes to msgpack": [[2230, "changes-to-msgpack"]], "Changes to rename": [[2230, "changes-to-rename"]], "Changes to sorting API": [[2228, "changes-to-sorting-api"]], "Changes to str.cat": [[2230, "changes-to-str-cat"]], "Changes to str.extract": [[2230, "changes-to-str-extract"]], "Changes to to_datetime and to_timedelta": [[2228, "changes-to-to-datetime-and-to-timedelta"]], "Changing case": [[16, "changing-case"], [17, "changing-case"], [19, "changing-case"]], "Changing the sort parameter for Index set operations": [[2247, "changing-the-sort-parameter-for-index-set-operations"]], "Chart visualization": [[2211, null]], "Cleaning up old issues": [[13, "cleaning-up-old-issues"]], "Cleaning up old pull requests": [[13, "cleaning-up-old-pull-requests"]], "Clipboard": [[22, "clipboard"], [2174, "clipboard"], [2199, "clipboard"]], "Closing issues": [[13, "closing-issues"]], "Code standards": [[2, "code-standards"]], "Colormaps": [[2211, "colormaps"]], "Column and index locations and names": [[2199, "column-and-index-locations-and-names"]], "Column metadata": [[9, "column-metadata"]], "Column order is preserved when passing a list of dicts to DataFrame": [[2249, "column-order-is-preserved-when-passing-a-list-of-dicts-to-dataframe"]], "Column selection, addition, deletion": [[2191, "column-selection-addition-deletion"]], "Combining / comparing / joining / merging": [[2169, "combining-comparing-joining-merging"], [2180, "combining-comparing-joining-merging"]], "Combining / joining / set operations": [[2173, "combining-joining-set-operations"]], "Combining aliases": [[2210, "combining-aliases"]], "Combining overlapping data sets": [[2186, "combining-overlapping-data-sets"]], "Combining positional and label-based indexing": [[2197, "combining-positional-and-label-based-indexing"]], "Coming from\u2026": [[21, "coming-from"]], "Comments": [[2199, "comments"]], "Comments and empty lines": [[2199, "comments-and-empty-lines"]], "Community": [[34, "community"]], "Community meeting": [[0, "community-meeting"]], "Community slack": [[0, "community-slack"]], "Community tutorials": [[35, null]], "Comparing array-like objects": [[2186, "comparing-array-like-objects"]], "Comparing if objects are equivalent": [[2186, "comparing-if-objects-are-equivalent"]], "Comparing two DataFrame or two Series and summarizing the differences": [[2271, "comparing-two-dataframe-or-two-series-and-summarizing-the-differences"]], "Comparison operators": [[2232, "comparison-operators"]], "Comparison with R / R libraries": [[15, null]], "Comparison with SAS": [[16, null]], "Comparison with SQL": [[18, null]], "Comparison with Stata": [[19, null]], "Comparison with other tools": [[20, null]], "Comparison with spreadsheets": [[17, null]], "Comparisons": [[2188, "comparisons"]], "Compatibility": [[2240, "compatibility"]], "Compatibility with Apache Arrow": [[10, "compatibility-with-apache-arrow"]], "Compatibility with MultiIndex": [[2173, "compatibility-with-multiindex"]], "Components": [[2173, "components"]], "Compressed pickle files": [[2199, "compressed-pickle-files"]], "Compression": [[22, "compression"], [2199, "compression"]], "Computation": [[22, "computation"]], "Computations / descriptive stats": [[2169, "computations-descriptive-stats"], [2179, "computations-descriptive-stats"], [2180, "computations-descriptive-stats"]], "Computing rolling pairwise covariances and correlations": [[2212, "computing-rolling-pairwise-covariances-and-correlations"]], "Concat": [[2184, "concat"]], "Concat of different float dtypes will not automatically upcast": [[2235, "concat-of-different-float-dtypes-will-not-automatically-upcast"]], "Concatenating DataFrame Outputs": [[2207, "Concatenating-DataFrame-Outputs"]], "Concatenating Series and DataFrame together": [[2200, "concatenating-series-and-dataframe-together"]], "Concatenating a Series and an indexed object into a Series, with alignment": [[2208, "concatenating-a-series-and-an-indexed-object-into-a-series-with-alignment"]], "Concatenating a Series and many objects into a Series": [[2208, "concatenating-a-series-and-many-objects-into-a-series"]], "Concatenating a Series and something array-like into a Series": [[2208, "concatenating-a-series-and-something-array-like-into-a-series"]], "Concatenating a Series and something list-like into a Series": [[2208, "concatenating-a-series-and-something-list-like-into-a-series"]], "Concatenating a single Series into a string": [[2208, "concatenating-a-single-series-into-a-string"]], "Concatenating objects": [[30, "concatenating-objects"]], "Concatenating sparse values": [[2249, "concatenating-sparse-values"]], "Concatenation": [[2208, "concatenation"]], "Concatenation changes": [[2246, "concatenation-changes"]], "Concatenation will no longer sort": [[2241, "concatenation-will-no-longer-sort"]], "Conditional HTML formatting": [[2229, "conditional-html-formatting"]], "Configuration": [[13, "configuration"]], "Consequences of Duplicate Labels": [[2192, "consequences-of-duplicate-labels"]], "Consistency across groupby reductions": [[2271, "consistency-across-groupby-reductions"]], "Consistency of DataFrame Reductions": [[2277, "consistency-of-dataframe-reductions"]], "Consistency of range functions": [[2238, "consistency-of-range-functions"]], "Consistent casting with setting into Boolean Series": [[2283, "consistent-casting-with-setting-into-boolean-series"]], "Consistent parsing": [[2228, "consistent-parsing"]], "Console display": [[2191, "console-display"]], "Consortium Standard": [[22, "consortium-standard"]], "Constructing a DataFrame from values": [[16, "constructing-a-dataframe-from-values"], [17, "constructing-a-dataframe-from-values"], [19, "constructing-a-dataframe-from-values"]], "Construction": [[2198, "construction"]], "Construction with datetime64 or timedelta64 dtype with unsupported resolution": [[2298, "construction-with-datetime64-or-timedelta64-dtype-with-unsupported-resolution"]], "Constructor": [[2169, "constructor"], [2180, "constructor"]], "Constructors": [[2167, "constructors"]], "Contributing to pandas": [[1, null]], "Contributing to the code base": [[2, null]], "Contributing to the documentation": [[4, null]], "Contributor community": [[0, null]], "Contributors": [[2214, "contributors"], [2215, "contributors"], [2216, "contributors"], [2217, "contributors"], [2218, "contributors"], [2219, "contributors"], [2220, "contributors"], [2221, "contributors"], [2222, "contributors"], [2223, "contributors"], [2224, "contributors"], [2225, "contributors"], [2226, "contributors"], [2227, "contributors"], [2228, "contributors"], [2229, "contributors"], [2230, "contributors"], [2231, "contributors"], [2232, "contributors"], [2233, "contributors"], [2234, "contributors"], [2235, "contributors"], [2236, "contributors"], [2237, "contributors"], [2238, "contributors"], [2239, "contributors"], [2240, "contributors"], [2241, "contributors"], [2242, "contributors"], [2243, "contributors"], [2244, "contributors"], [2245, "contributors"], [2246, "contributors"], [2247, "contributors"], [2248, "contributors"], [2249, "contributors"], [2250, "contributors"], [2251, "contributors"], [2252, "contributors"], [2253, "contributors"], [2254, "contributors"], [2255, "contributors"], [2256, "contributors"], [2257, "contributors"], [2258, "contributors"], [2259, "contributors"], [2260, "contributors"], [2261, "contributors"], [2262, "contributors"], [2263, "contributors"], [2264, "contributors"], [2265, "contributors"], [2266, "contributors"], [2267, "contributors"], [2268, "contributors"], [2269, "contributors"], [2270, "contributors"], [2271, "contributors"], [2272, "contributors"], [2273, "contributors"], [2274, "contributors"], [2275, "contributors"], [2276, "contributors"], [2277, "contributors"], [2278, "contributors"], [2279, "contributors"], [2280, "contributors"], [2281, "contributors"], [2282, "contributors"], [2283, "contributors"], [2284, "contributors"], [2285, "contributors"], [2286, "contributors"], [2287, "contributors"], [2288, "contributors"], [2289, "contributors"], [2290, "contributors"], [2291, "contributors"], [2292, "contributors"], [2293, "contributors"], [2294, "contributors"], [2295, "contributors"], [2296, "contributors"], [2297, "contributors"], [2298, "contributors"], [2299, "contributors"], [2300, "contributors"], [2301, "contributors"], [2302, "contributors"], [2303, "contributors"], [2304, "contributors"], [2305, "contributors"], [2306, "contributors"], [2307, "contributors"], [2308, "contributors"], [2309, "contributors"], [2310, "contributors"]], "Control grouped column(s) placement with group_keys": [[2195, "control-grouped-column-s-placement-with-group-keys"]], "Control of index with group_keys in DataFrame.resample()": [[2294, "control-of-index-with-group-keys-in-dataframe-resample"]], "Controlling behavior": [[2188, "controlling-behavior"]], "Controlling the labels": [[2211, "controlling-the-labels"]], "Controlling the legend": [[2211, "controlling-the-legend"]], "Conventions for the examples": [[3, "conventions-for-the-examples"]], "Conversion": [[2169, "conversion"], [2173, "conversion"], [2173, "id4"], [2173, "id5"], [2180, "conversion"], [2201, "conversion"], [2235, "conversion"], [2236, "conversion"], [2237, "conversion"], [2238, "conversion"], [2239, "conversion"], [2246, "conversion"], [2249, "conversion"], [2250, "conversion"], [2265, "conversion"], [2271, "conversion"], [2277, "conversion"], [2283, "conversion"], [2289, "conversion"], [2294, "conversion"], [2298, "conversion"], [2302, "conversion"], [2307, "conversion"]], "Conversions": [[2209, "conversions"]], "Converting between representations": [[2210, "converting-between-representations"]], "Converting timezone-aware Series and Index to NumPy arrays": [[2246, "converting-timezone-aware-series-and-index-to-numpy-arrays"]], "Converting to Python datetimes": [[2210, "converting-to-python-datetimes"]], "Converting to markdown": [[2265, "converting-to-markdown"]], "Converting to timestamps": [[2210, "converting-to-timestamps"]], "Copies vs. in place operations": [[16, "copies-vs-in-place-operations"], [17, "copies-vs-in-place-operations"], [18, "copies-vs-in-place-operations"], [19, "copies-vs-in-place-operations"]], "Copy on Write": [[2294, "copy-on-write"]], "Copy on write": [[7, null]], "Copy-on-Write": [[2307, "copy-on-write"]], "Copy-on-Write (CoW)": [[2190, null]], "Copy-on-Write improvements": [[2298, "copy-on-write-improvements"], [2302, "copy-on-write-improvements"]], "Copy-on-Write optimizations": [[2190, "copy-on-write-optimizations"]], "Copying": [[2186, "copying"]], "Count number of records by category": [[28, "count-number-of-records-by-category"]], "Create a fork of pandas": [[1, "create-a-fork-of-pandas"]], "Create a pandas Series based on one or more conditions": [[2307, "create-a-pandas-series-based-on-one-or-more-conditions"]], "Creating a MultiIndex (hierarchical index) object": [[2185, "creating-a-multiindex-hierarchical-index-object"]], "Creating a development environment": [[5, null]], "Creating a feature branch": [[1, "creating-a-feature-branch"]], "Creating indicator variables": [[2208, "creating-indicator-variables"]], "Cross-section": [[2185, "cross-section"]], "Custom Function Examples": [[2193, "custom-function-examples"]], "Custom HTTP(s) headers when reading csv or json files": [[2283, "custom-http-s-headers-when-reading-csv-or-json-files"]], "Custom business days": [[2210, "custom-business-days"]], "Custom business hour": [[2210, "custom-business-hour"], [2231, "custom-business-hour"]], "Custom describe": [[2186, "custom-describe"]], "Custom formatters for timeseries plots": [[2211, "custom-formatters-for-timeseries-plots"]], "Custom frequency ranges": [[2210, "custom-frequency-ranges"]], "Custom window rolling": [[2212, "custom-window-rolling"]], "CustomBusinessDay": [[2176, "custombusinessday"]], "CustomBusinessHour": [[2176, "custombusinesshour"]], "CustomBusinessMonthBegin": [[2176, "custombusinessmonthbegin"]], "CustomBusinessMonthEnd": [[2176, "custombusinessmonthend"]], "Cython (writing C extensions for pandas)": [[2193, "cython-writing-c-extensions-for-pandas"]], "DELETE": [[18, "delete"]], "Data Cell CSS Classes": [[2207, "Data-Cell-CSS-Classes"]], "Data Structure Integration": [[2203, "data-structure-integration"]], "Data alignment and arithmetic": [[2191, "data-alignment-and-arithmetic"]], "Data alignment and using reindex": [[2185, "data-alignment-and-using-reindex"]], "Data conversion": [[2199, "data-conversion"]], "Data input / output": [[16, "data-input-output"], [17, "data-input-output"], [19, "data-input-output"]], "Data interop": [[16, "data-interop"]], "Data manipulations": [[2170, "data-manipulations"]], "Data munging": [[2188, "data-munging"]], "Data operations": [[16, "data-operations"], [17, "data-operations"], [19, "data-operations"]], "Data structures": [[16, "data-structures"], [17, "data-structures"], [19, "data-structures"], [34, "data-structures"]], "Data type introspection": [[2167, "data-type-introspection"]], "DataFrame": [[16, "dataframe"], [17, "dataframe"], [19, "dataframe"], [2169, null], [2191, "dataframe"]], "DataFrame GroupBy ffill/bfill no longer return group labels": [[2249, "dataframe-groupby-ffill-bfill-no-longer-return-group-labels"]], "DataFrame arithmetic operations broadcasting changes": [[2246, "dataframe-arithmetic-operations-broadcasting-changes"]], "DataFrame assign": [[2225, "dataframe-assign"]], "DataFrame column attribute access and IPython completion": [[2191, "dataframe-column-attribute-access-and-ipython-completion"]], "DataFrame column selection in GroupBy": [[2195, "dataframe-column-selection-in-groupby"]], "DataFrame comparison operations broadcasting changes": [[2246, "dataframe-comparison-operations-broadcasting-changes"]], "DataFrame constructor honors copy=False with dict": [[2283, "dataframe-constructor-honors-copy-false-with-dict"]], "DataFrame creation": [[2188, "dataframe-creation"]], "DataFrame describe on an empty Categorical / object column will return top and freq": [[2249, "dataframe-describe-on-an-empty-categorical-object-column-will-return-top-and-freq"]], "DataFrame interchange protocol implementation": [[2294, "dataframe-interchange-protocol-implementation"]], "DataFrame interoperability with NumPy functions": [[2191, "dataframe-interoperability-with-numpy-functions"]], "DataFrame memory usage": [[2194, "dataframe-memory-usage"]], "DataFrame reductions preserve extension dtypes": [[2302, "dataframe-reductions-preserve-extension-dtypes"]], "DataFrame repr changes": [[2218, "dataframe-repr-changes"]], "DataFrame to LaTeX has a new render engine": [[2298, "dataframe-to-latex-has-a-new-render-engine"]], "DataFrame.astype performs column-wise conversion to Categorical": [[2241, "dataframe-astype-performs-column-wise-conversion-to-categorical"]], "DataFrame.combine_first()": [[2200, "dataframe-combine-first"]], "DataFrame.from_dict and DataFrame.to_dict have new 'tight' option": [[2289, "dataframe-from-dict-and-dataframe-to-dict-have-new-tight-option"]], "DataFrame.interpolate has gained the limit_area kwarg": [[2241, "dataframe-interpolate-has-gained-the-limit-area-kwarg"]], "DataFrame.join()": [[2200, "dataframe-join"]], "DataFrame.merge() preserves right frame\u2019s row order": [[2271, "dataframe-merge-preserves-right-frame-s-row-order"]], "DataFrame.rename now only accepts one positional argument": [[2265, "dataframe-rename-now-only-accepts-one-positional-argument"]], "DataFrame.sort_index changes": [[2235, "dataframe-sort-index-changes"]], "DataFrameGroupBy computations / descriptive stats": [[2171, "dataframegroupby-computations-descriptive-stats"]], "DataFrameGroupBy.cumsum() and DataFrameGroupBy.cumprod() overflow instead of lossy casting to float": [[2298, "dataframegroupby-cumsum-and-dataframegroupby-cumprod-overflow-instead-of-lossy-casting-to-float"]], "DataFrameGroupBy.nth() and SeriesGroupBy.nth() now behave as filtrations": [[2298, "dataframegroupby-nth-and-seriesgroupby-nth-now-behave-as-filtrations"]], "DataFrameGroupBy.rolling and SeriesGroupBy.rolling no longer return grouped-by column in values": [[2283, "dataframegroupby-rolling-and-seriesgroupby-rolling-no-longer-return-grouped-by-column-in-values"]], "DataFrameGroupBy.rolling and SeriesGroupBy.rolling with MultiIndex no longer drop levels in the result": [[2283, "dataframegroupby-rolling-and-seriesgroupby-rolling-with-multiindex-no-longer-drop-levels-in-the-result"]], "DataFrameGroupBy.value_counts with non-grouping categorical columns and observed=True": [[2294, "dataframegroupby-value-counts-with-non-grouping-categorical-columns-and-observed-true"]], "DataFrameGroupby.agg() lost results with as_index=False when relabeling columns": [[2271, "dataframegroupby-agg-lost-results-with-as-index-false-when-relabeling-columns"]], "DataTypes": [[2199, "datatypes"]], "Date Handling": [[2199, "date-handling"]], "Date functionality": [[16, "date-functionality"], [17, "date-functionality"], [19, "date-functionality"]], "Date handling": [[2199, "id1"]], "Date offsets": [[2176, null]], "Date parsing functions": [[2199, "date-parsing-functions"]], "DateOffset": [[2176, "dateoffset"]], "DateOffset objects": [[2210, "dateoffset-objects"]], "Datetime as index": [[31, "datetime-as-index"]], "Datetime data types": [[2199, "datetime-data-types"]], "Datetime formats": [[2170, "datetime-formats"]], "Datetime handling": [[2199, "datetime-handling"]], "Datetime methods": [[2180, "datetime-methods"]], "Datetime properties": [[2180, "datetime-properties"]], "Datetime with TZ": [[2228, "datetime-with-tz"]], "Datetime-like": [[2277, "datetime-like"]], "DatetimeIndex": [[2173, "datetimeindex"]], "Datetimelike": [[2241, "datetimelike"], [2246, "datetimelike"], [2249, "datetimelike"], [2250, "datetimelike"], [2265, "datetimelike"], [2271, "datetimelike"], [2283, "datetimelike"], [2289, "datetimelike"], [2294, "datetimelike"], [2298, "datetimelike"], [2302, "datetimelike"], [2307, "datetimelike"]], "Datetimelike API changes": [[2241, "datetimelike-api-changes"], [2246, "datetimelike-api-changes"]], "Datetimelike properties": [[2180, "datetimelike-properties"]], "Datetimelike rounding": [[2230, "datetimelike-rounding"]], "Datetimes": [[2167, "datetimes"]], "Datetimes are now parsed with a consistent format": [[2298, "datetimes-are-now-parsed-with-a-consistent-format"]], "Datetimes conversion": [[2216, "datetimes-conversion"]], "Day": [[2176, "day"]], "Dealing with Unicode data": [[2199, "dealing-with-unicode-data"]], "Debugging": [[13, "debugging"]], "Debugging C extensions": [[8, null]], "Debugging locally": [[8, "debugging-locally"]], "Declaring C types": [[2193, "declaring-c-types"]], "Dedicated string data type": [[2265, "dedicated-string-data-type"]], "Dedicated string data type (backed by Arrow) by default": [[2307, "dedicated-string-data-type-backed-by-arrow-by-default"]], "Default dtype of empty pandas.Series": [[2265, "default-dtype-of-empty-pandas-series"]], "Default value for the ordered parameter of CategoricalDtype": [[2241, "default-value-for-the-ordered-parameter-of-categoricaldtype"]], "Define original properties": [[10, "define-original-properties"]], "Defined levels": [[2185, "defined-levels"]], "Defining custom windows for rolling operations": [[2265, "defining-custom-windows-for-rolling-operations"]], "Delete from a table": [[2199, "delete-from-a-table"]], "Density plot": [[2211, "density-plot"]], "Dependencies": [[22, "dependencies"]], "Dependencies have increased minimum versions": [[2238, "dependencies-have-increased-minimum-versions"], [2241, "dependencies-have-increased-minimum-versions"]], "Deprecate .ix": [[2235, "deprecate-ix"]], "Deprecate .plotting": [[2235, "deprecate-plotting"]], "Deprecate Panel": [[2235, "deprecate-panel"], [2241, "deprecate-panel"]], "Deprecate aliases M, Q, Y, etc. in favour of ME, QE, YE, etc. for offsets": [[2307, "deprecate-aliases-m-q-y-etc-in-favour-of-me-qe-ye-etc-for-offsets"]], "Deprecate groupby.agg() with a dictionary when renaming": [[2235, "deprecate-groupby-agg-with-a-dictionary-when-renaming"]], "Deprecated DataFrame.append and Series.append": [[2289, "deprecated-dataframe-append-and-series-append"]], "Deprecated Int64Index, UInt64Index & Float64Index": [[2289, "deprecated-int64index-uint64index-float64index"]], "Deprecated automatic downcasting": [[2307, "deprecated-automatic-downcasting"]], "Deprecated dropping nuisance columns in DataFrame reductions and DataFrameGroupBy operations": [[2283, "deprecated-dropping-nuisance-columns-in-dataframe-reductions-and-dataframegroupby-operations"]], "Deprecated parsing datetimes with mixed time zones": [[2302, "deprecated-parsing-datetimes-with-mixed-time-zones"]], "Deprecated silent upcasting in setitem-like Series operations": [[2302, "deprecated-silent-upcasting-in-setitem-like-series-operations"]], "Deprecations": [[2218, "deprecations"], [2219, "deprecations"], [2220, "deprecations"], [2222, "deprecations"], [2225, "deprecations"], [2226, "deprecations"], [2228, "deprecations"], [2229, "deprecations"], [2230, "deprecations"], [2231, "deprecations"], [2232, "deprecations"], [2235, "deprecations"], [2238, "deprecations"], [2239, "deprecations"], [2241, "deprecations"], [2246, "deprecations"], [2249, "deprecations"], [2265, "deprecations"], [2266, "deprecations"], [2271, "deprecations"], [2277, "deprecations"], [2283, "deprecations"], [2289, "deprecations"], [2294, "deprecations"], [2298, "deprecations"], [2302, "deprecations"], [2304, "deprecations"], [2307, "deprecations"]], "Description": [[2188, "description"], [2190, "description"]], "Descriptive statistics": [[2186, "descriptive-statistics"]], "Developer": [[9, null]], "Development": [[11, null]], "Development Changes": [[2274, "development-changes"]], "Development changes": [[2271, "development-changes"]], "Development team": [[34, "development-team"]], "Development workflow with Gitpod": [[6, "development-workflow-with-gitpod"]], "Dialect": [[2199, "dialect"]], "Dictionary-like get() method": [[2197, "dictionary-like-get-method"]], "Differences to R\u2019s factor": [[2188, "differences-to-r-s-factor"]], "Differences with NumPy": [[2194, "differences-with-numpy"]], "Different choices for indexing": [[2197, "different-choices-for-indexing"]], "Disabling compiler directives": [[2193, "disabling-compiler-directives"]], "Disallow astype conversion to non-supported datetime64/timedelta64 dtypes": [[2298, "disallow-astype-conversion-to-non-supported-datetime64-timedelta64-dtypes"]], "Disallowing Duplicate Labels": [[2192, "disallowing-duplicate-labels"]], "Discretization and quantiling": [[2186, "discretization-and-quantiling"]], "Disk vs memory": [[16, "disk-vs-memory"], [19, "disk-vs-memory"]], "Display alignment with Unicode East Asian width": [[2228, "display-alignment-with-unicode-east-asian-width"]], "Display changes": [[2220, "display-changes"]], "Do something with a DataFrame or Series": [[23, "do-something-with-a-dataframe-or-series"]], "Documentation changes": [[2238, "documentation-changes"], [2241, "documentation-changes"]], "Documentation improvements": [[2265, "documentation-improvements"]], "Documentation:": [[4, "documentation"]], "Documenting your code": [[2, "documenting-your-code"]], "Downcast values to smallest possible dtype in to_numeric": [[2232, "downcast-values-to-smallest-possible-dtype-in-to-numeric"]], "Downsampling": [[2230, "downsampling"]], "Drop Duplicates": [[17, "drop-duplicates"]], "Drop a column": [[16, "drop-a-column"], [17, "drop-a-column"], [19, "drop-a-column"]], "Drop rows with missing values": [[16, "drop-rows-with-missing-values"], [19, "drop-rows-with-missing-values"]], "Dropping labels from an axis": [[2186, "dropping-labels-from-an-axis"]], "Dropping missing data": [[2201, "dropping-missing-data"]], "Dtype conversion": [[2216, "dtype-conversion"]], "Dtype conversions": [[2238, "dtype-conversions"]], "Dtype gotchas": [[2216, "dtype-gotchas"]], "Dtype specifications": [[2199, "dtype-specifications"]], "Dtypes": [[2216, "dtypes"]], "Duplicate Label Detection": [[2192, "duplicate-label-detection"]], "Duplicate Label Propagation": [[2192, "duplicate-label-propagation"]], "Duplicate Labels": [[2192, null]], "Duplicate data": [[2197, "duplicate-data"]], "Duplicate names parsing": [[2199, "duplicate-names-parsing"]], "Each column in a DataFrame is a Series": [[23, "each-column-in-a-dataframe-is-a-series"]], "Easter": [[2176, "easter"]], "Editor support": [[8, "editor-support"]], "Empty DataFrames/Series will now default to have a RangeIndex": [[2298, "empty-dataframes-series-will-now-default-to-have-a-rangeindex"]], "Endpoints are inclusive": [[2185, "endpoints-are-inclusive"]], "Engine connection examples": [[2199, "engine-connection-examples"]], "Enhancements": [[2216, "enhancements"], [2218, "enhancements"], [2219, "enhancements"], [2220, "enhancements"], [2221, "enhancements"], [2222, "enhancements"], [2223, "enhancements"], [2224, "enhancements"], [2226, "enhancements"], [2229, "enhancements"], [2234, "enhancements"], [2236, "enhancements"], [2246, "enhancements"], [2249, "enhancements"], [2265, "enhancements"], [2271, "enhancements"], [2274, "enhancements"], [2277, "enhancements"], [2283, "enhancements"], [2289, "enhancements"], [2294, "enhancements"], [2298, "enhancements"], [2302, "enhancements"], [2307, "enhancements"], [2308, "enhancements"]], "Enhancing performance": [[2193, null]], "Enumerate group items": [[2195, "enumerate-group-items"]], "Enumerate groups": [[2195, "enumerate-groups"]], "Epoch timestamps": [[2210, "epoch-timestamps"]], "Equality semantics": [[2188, "equality-semantics"]], "Error handling": [[2199, "error-handling"], [2228, "error-handling"]], "Essential basic functionality": [[2186, null]], "Evaluation order matters": [[2197, "evaluation-order-matters"]], "Exact indexing": [[2210, "exact-indexing"]], "Example": [[2, "example"]], "Examples": [[2195, "examples"]], "Excel": [[2174, "excel"], [2184, "excel"]], "Excel charts with pandas, vincent and xlsxwriter": [[35, "excel-charts-with-pandas-vincent-and-xlsxwriter"]], "Excel files": [[17, "excel-files"], [22, "excel-files"], [2199, "excel-files"]], "Excel output for styled DataFrames": [[2235, "excel-output-for-styled-dataframes"]], "Excel writer engines": [[2199, "excel-writer-engines"]], "ExcelFile class": [[2199, "excelfile-class"]], "ExcelWriter attributes": [[2294, "excelwriter-attributes"]], "Exceptions and warnings": [[2182, "exceptions-and-warnings"]], "Exclusion of non-numeric columns": [[2195, "exclusion-of-non-numeric-columns"]], "Exercises for new users": [[35, "exercises-for-new-users"]], "Expanding window": [[2212, "expanding-window"]], "Expanding window functions": [[2183, "expanding-window-functions"]], "Experimental": [[2218, "experimental"], [2219, "experimental"], [2220, "experimental"], [2221, "experimental"]], "Experimental NA scalar to denote missing values": [[2265, "experimental-na-scalar-to-denote-missing-values"]], "Experimental features": [[2217, "experimental-features"]], "Experimental new features": [[2265, "experimental-new-features"]], "Experimental nullable data types for float data": [[2277, "experimental-nullable-data-types-for-float-data"]], "Exponentially weighted window": [[2212, "exponentially-weighted-window"]], "Exponentially-weighted window functions": [[2183, "exponentially-weighted-window-functions"]], "Export to Excel": [[2207, "Export-to-Excel"]], "Export to LaTeX": [[2207, "Export-to-LaTeX"]], "Exporting data": [[16, "exporting-data"], [17, "exporting-data"], [19, "exporting-data"]], "Expression evaluation limitations with numexpr": [[2193, "expression-evaluation-limitations-with-numexpr"]], "Expression evaluation via eval()": [[2193, "expression-evaluation-via-eval"]], "Extended verbose info output for DataFrame": [[2265, "extended-verbose-info-output-for-dataframe"]], "Extending pandas": [[10, null]], "Extending pandas with custom types (experimental)": [[2241, "extending-pandas-with-custom-types-experimental"]], "Extensibility": [[2207, "Extensibility"]], "Extension type changes": [[2246, "extension-type-changes"]], "Extension types": [[10, "extension-types"]], "ExtensionArray": [[10, "extensionarray"], [2249, "extensionarray"], [2265, "extensionarray"], [2271, "extensionarray"], [2277, "extensionarray"], [2283, "extensionarray"], [2289, "extensionarray"], [2294, "extensionarray"], [2298, "extensionarray"], [2302, "extensionarray"]], "ExtensionArray operator support": [[10, "extensionarray-operator-support"]], "ExtensionDtype": [[10, "extensiondtype"]], "Extensions": [[2168, null]], "Extract all matches in each subject (extractall)": [[2208, "extract-all-matches-in-each-subject-extractall"]], "Extract first match in each subject (extract)": [[2208, "extract-first-match-in-each-subject-extract"]], "Extracting nth word": [[16, "extracting-nth-word"], [17, "extracting-nth-word"], [19, "extracting-nth-word"]], "Extracting substring by position": [[16, "extracting-substring-by-position"], [17, "extracting-substring-by-position"], [19, "extracting-substring-by-position"]], "Extracting substrings": [[2208, "extracting-substrings"]], "Extraction of matching patterns from strings": [[2241, "extraction-of-matching-patterns-from-strings"]], "FAQ\u2019s and troubleshooting": [[6, "faq-s-and-troubleshooting"]], "FULL JOIN": [[18, "full-join"]], "FY5253": [[2176, "fy5253"]], "FY5253Quarter": [[2176, "fy5253quarter"]], "Failed Integer Lookups on MultiIndex Raise KeyError": [[2271, "failed-integer-lookups-on-multiindex-raise-keyerror"]], "Failed label-based lookups always raise KeyError": [[2271, "failed-label-based-lookups-always-raise-keyerror"]], "Fallback behavior": [[2199, "fallback-behavior"]], "Fast scalar value getting and setting": [[2197, "fast-scalar-value-getting-and-setting"]], "Feather": [[2174, "feather"], [2199, "feather"]], "File parsing new features": [[2214, "file-parsing-new-features"]], "Files with an \u201cimplicit\u201d index column": [[2199, "files-with-an-implicit-index-column"]], "Files with fixed width columns": [[2199, "files-with-fixed-width-columns"]], "Fill Handle": [[17, "fill-handle"]], "Filling by value": [[2201, "filling-by-value"]], "Filling forward / backward": [[2210, "filling-forward-backward"]], "Filling missing data": [[2201, "filling-missing-data"]], "Filling while reindexing": [[2186, "filling-while-reindexing"]], "Filtering": [[16, "filtering"], [17, "filtering"], [19, "filtering"]], "Filtering columns (usecols)": [[2199, "filtering-columns-usecols"]], "Filtration": [[2195, "filtration"]], "Find and Replace": [[17, "find-and-replace"]], "Finding an issue to contribute to": [[1, "finding-an-issue-to-contribute-to"]], "Finding length of string": [[16, "finding-length-of-string"], [17, "finding-length-of-string"], [19, "finding-length-of-string"]], "Finding position of substring": [[16, "finding-position-of-substring"], [17, "finding-position-of-substring"], [19, "finding-position-of-substring"]], "Fine-grained NumPy errstate": [[2232, "fine-grained-numpy-errstate"]], "Finer Control with Slicing": [[2207, "Finer-Control-with-Slicing"]], "Fixed format": [[2199, "fixed-format"]], "Fixed regressions": [[2242, "fixed-regressions"], [2243, "fixed-regressions"], [2245, "fixed-regressions"], [2247, "fixed-regressions"], [2248, "fixed-regressions"], [2266, "fixed-regressions"], [2267, "fixed-regressions"], [2268, "fixed-regressions"], [2269, "fixed-regressions"], [2270, "fixed-regressions"], [2272, "fixed-regressions"], [2273, "fixed-regressions"], [2274, "fixed-regressions"], [2275, "fixed-regressions"], [2276, "fixed-regressions"], [2278, "fixed-regressions"], [2279, "fixed-regressions"], [2280, "fixed-regressions"], [2281, "fixed-regressions"], [2282, "fixed-regressions"], [2284, "fixed-regressions"], [2285, "fixed-regressions"], [2286, "fixed-regressions"], [2287, "fixed-regressions"], [2288, "fixed-regressions"], [2290, "fixed-regressions"], [2291, "fixed-regressions"], [2292, "fixed-regressions"], [2293, "fixed-regressions"], [2295, "fixed-regressions"], [2296, "fixed-regressions"], [2297, "fixed-regressions"], [2299, "fixed-regressions"], [2300, "fixed-regressions"], [2301, "fixed-regressions"], [2303, "fixed-regressions"], [2304, "fixed-regressions"], [2305, "fixed-regressions"], [2306, "fixed-regressions"], [2308, "fixed-regressions"], [2309, "fixed-regressions"]], "Flags": [[2169, "flags"], [2180, "flags"]], "Flat file": [[2174, "flat-file"]], "Flexible apply": [[2195, "flexible-apply"]], "Flexible binary operations": [[2186, "flexible-binary-operations"]], "Flexible comparison methods": [[2232, "flexible-comparison-methods"]], "Flexible comparisons": [[2186, "flexible-comparisons"]], "Float64Index API change": [[2218, "float64index-api-change"]], "Fold": [[2210, "fold"]], "Fold argument support in Timestamp constructor": [[2271, "fold-argument-support-in-timestamp-constructor"]], "Forking the pandas repository": [[6, "forking-the-pandas-repository"]], "Formatting Values": [[2207, "Formatting-Values"]], "Formatting of integers in FloatIndex": [[2230, "formatting-of-integers-in-floatindex"]], "Formatting the Display": [[2207, "Formatting-the-Display"]], "Forward fill from previous rows": [[16, "forward-fill-from-previous-rows"], [19, "forward-fill-from-previous-rows"]], "Frequencies": [[2176, "frequencies"]], "Frequency conversion": [[2209, "frequency-conversion"], [2210, "frequency-conversion"]], "Frequency conversion and resampling with PeriodIndex": [[2210, "frequency-conversion-and-resampling-with-periodindex"]], "Frequently Asked Questions (FAQ)": [[2194, null]], "Frequently used options": [[2202, "frequently-used-options"]], "From a Series": [[2191, "from-a-series"]], "From a dict of tuples": [[2191, "from-a-dict-of-tuples"]], "From a list of dataclasses": [[2191, "from-a-list-of-dataclasses"]], "From a list of dicts": [[2191, "from-a-list-of-dicts"]], "From a list of namedtuples": [[2191, "from-a-list-of-namedtuples"]], "From dict of Series or dicts": [[2191, "from-dict-of-series-or-dicts"]], "From dict of ndarrays / lists": [[2191, "from-dict-of-ndarrays-lists"]], "From structured or record array": [[2191, "from-structured-or-record-array"]], "From timestamps to epoch": [[2210, "from-timestamps-to-epoch"]], "Function .to_datetime() changes": [[2232, "function-to-datetime-changes"]], "Function application": [[2171, "function-application"], [2179, "function-application"], [2186, "function-application"]], "Function application helper": [[2171, "function-application-helper"]], "Function application, GroupBy & window": [[2169, "function-application-groupby-window"], [2180, "function-application-groupby-window"]], "Function get_dummies now supports dtype argument": [[2241, "function-get-dummies-now-supports-dtype-argument"]], "Function merge_asof for asof-style time-series joining": [[2232, "function-merge-asof-for-asof-style-time-series-joining"]], "Function read_csv will progressively enumerate chunks": [[2232, "function-read-csv-will-progressively-enumerate-chunks"]], "Function read_html enhancements": [[2246, "function-read-html-enhancements"]], "GROUP BY": [[18, "group-by"]], "General DataFrame combine": [[2186, "general-dataframe-combine"]], "General functions": [[2170, null]], "General parsing configuration": [[2199, "general-parsing-configuration"]], "General plot style arguments": [[2211, "general-plot-style-arguments"]], "General rules": [[3, "general-rules"]], "General terminology translation": [[16, "general-terminology-translation"], [17, "general-terminology-translation"], [19, "general-terminology-translation"]], "Generating ranges of intervals": [[2185, "generating-ranges-of-intervals"]], "Generating ranges of time deltas": [[2209, "generating-ranges-of-time-deltas"]], "Generating ranges of timestamps": [[2210, "generating-ranges-of-timestamps"]], "Getitem ([])": [[2184, "getitem"]], "Getting": [[2188, "getting"]], "Getting and setting options": [[2202, "getting-and-setting-options"]], "Getting data in/out": [[2188, "getting-data-in-out"]], "Getting started": [[21, null]], "Getting started tutorials": [[33, null]], "Getting started with Git": [[1, "getting-started-with-git"]], "Getting support": [[34, "getting-support"]], "GitHub issue tracker": [[0, "id1"]], "Gitpod": [[6, "gitpod"]], "Gitpod GitHub integration": [[6, "gitpod-github-integration"]], "Google BigQuery": [[2174, "google-bigquery"], [2199, "google-bigquery"]], "Google BigQuery enhancements": [[2228, "google-bigquery-enhancements"], [2232, "google-bigquery-enhancements"]], "Gotchas": [[2184, "gotchas"], [2188, "gotchas"]], "Group by: split-apply-combine": [[2195, null]], "GroupBy": [[16, "groupby"], [19, "groupby"], [2171, null]], "GroupBy API changes": [[2220, "groupby-api-changes"]], "GroupBy aggregation with multiple lambdas": [[2249, "groupby-aggregation-with-multiple-lambdas"]], "GroupBy aggregation with relabeling": [[2249, "groupby-aggregation-with-relabeling"]], "GroupBy describe formatting": [[2235, "groupby-describe-formatting"]], "GroupBy dropna": [[2195, "groupby-dropna"]], "GroupBy enhancements": [[2235, "groupby-enhancements"]], "GroupBy object attributes": [[2195, "groupby-object-attributes"]], "GroupBy objects now have a pipe method": [[2238, "groupby-objects-now-have-a-pipe-method"]], "GroupBy on categoricals": [[2235, "groupby-on-categoricals"]], "GroupBy sorting": [[2195, "groupby-sorting"]], "GroupBy supports EWM operations directly": [[2277, "groupby-supports-ewm-operations-directly"]], "GroupBy with MultiIndex": [[2195, "groupby-with-multiindex"]], "GroupBy.apply on DataFrame evaluates first group only once": [[2249, "groupby-apply-on-dataframe-evaluates-first-group-only-once"]], "GroupBy/resample/rolling": [[2235, "groupby-resample-rolling"], [2236, "groupby-resample-rolling"], [2238, "groupby-resample-rolling"], [2239, "groupby-resample-rolling"], [2241, "groupby-resample-rolling"], [2246, "groupby-resample-rolling"], [2249, "groupby-resample-rolling"], [2250, "groupby-resample-rolling"], [2251, "groupby-resample-rolling"], [2252, "groupby-resample-rolling"], [2265, "groupby-resample-rolling"], [2271, "groupby-resample-rolling"]], "Groupby by indexer to \u2018resample\u2019 data": [[2195, "groupby-by-indexer-to-resample-data"]], "Groupby methods agg and transform no longer changes return dtype for callables": [[2283, "groupby-methods-agg-and-transform-no-longer-changes-return-dtype-for-callables"]], "Groupby positional indexing": [[2289, "groupby-positional-indexing"]], "Groupby/resample/rolling": [[2277, "groupby-resample-rolling"], [2283, "groupby-resample-rolling"], [2289, "groupby-resample-rolling"], [2294, "groupby-resample-rolling"], [2298, "groupby-resample-rolling"], [2302, "groupby-resample-rolling"], [2307, "groupby-resample-rolling"]], "Grouper and resample now supports the arguments origin and offset": [[2271, "grouper-and-resample-now-supports-the-arguments-origin-and-offset"]], "Grouping": [[2184, "grouping"]], "Grouping DataFrame with Index levels and columns": [[2195, "grouping-dataframe-with-index-levels-and-columns"]], "Grouping and summarizing": [[15, "grouping-and-summarizing"]], "Grouping by a Categorical": [[2240, "grouping-by-a-categorical"]], "Grouping with a grouper specification": [[2195, "grouping-with-a-grouper-specification"]], "Grouping with ordered factors": [[2195, "grouping-with-ordered-factors"]], "Guides": [[2196, "guides"]], "HDF5 (PyTables)": [[2199, "hdf5-pytables"]], "HDFStore": [[2215, "hdfstore"]], "HDFStore API changes": [[2218, "hdfstore-api-changes"]], "HDFStore dropna behavior": [[2228, "hdfstore-dropna-behavior"]], "HDFStore where string comparison": [[2235, "hdfstore-where-string-comparison"]], "HDFStore: PyTables (HDF5)": [[2174, "hdfstore-pytables-hdf5"]], "HTML": [[22, "html"], [2174, "html"], [2199, "html"]], "HTML Escaping": [[2207, "HTML-Escaping"]], "HTML Table Parsing Gotchas": [[2199, "html-table-parsing-gotchas"]], "Handling ImportErrors": [[22, "handling-importerrors"]], "Handling column names": [[2199, "handling-column-names"]], "Handling indexes": [[2199, "handling-indexes"]], "Handling of (un)observed Categorical values": [[2195, "handling-of-un-observed-categorical-values"]], "Handling \u201cbad\u201d lines": [[2199, "handling-bad-lines"]], "Hashing": [[2170, "hashing"]], "Head and tail": [[2186, "head-and-tail"]], "Hexagonal bin plot": [[2211, "hexagonal-bin-plot"]], "Hiding Data": [[2207, "Hiding-Data"]], "Hierarchical indexing (MultiIndex)": [[2185, "hierarchical-indexing-multiindex"]], "Hierarchical keys": [[2199, "hierarchical-keys"]], "Highlight Between": [[2207, "Highlight-Between"]], "Highlight Min or Max": [[2207, "Highlight-Min-or-Max"]], "Highlight Null": [[2207, "Highlight-Null"]], "Highlight Quantile": [[2207, "Highlight-Quantile"]], "Histograms": [[2211, "histograms"]], "Holidays / holiday calendars": [[2210, "holidays-holiday-calendars"]], "Hour": [[2176, "hour"]], "How do I create plots in pandas?": [[26, null]], "How do I filter specific rows from a DataFrame?": [[25, "how-do-i-filter-specific-rows-from-a-dataframe"]], "How do I read and write tabular data?": [[24, null]], "How do I select a subset of a DataFrame?": [[25, null]], "How do I select specific columns from a DataFrame?": [[25, "how-do-i-select-specific-columns-from-a-dataframe"]], "How do I select specific rows and columns from a DataFrame?": [[25, "how-do-i-select-specific-rows-and-columns-from-a-dataframe"]], "How long does my workspace stay active if I\u2019m not using it?": [[6, "how-long-does-my-workspace-stay-active-if-i-m-not-using-it"]], "How long is my Gitpod workspace kept for?": [[6, "how-long-is-my-gitpod-workspace-kept-for"]], "How to build the pandas documentation": [[4, "how-to-build-the-pandas-documentation"]], "How to calculate summary statistics": [[28, null]], "How to combine data from multiple tables": [[30, null]], "How to create new columns derived from existing columns": [[27, null]], "How to enable CoW": [[2190, "how-to-enable-cow"]], "How to handle time series data with ease": [[31, null]], "How to manipulate textual data": [[32, null]], "How to read these guides": [[2196, "how-to-read-these-guides"]], "How to reshape the layout of tables": [[29, null]], "I authenticated through GitHub but I still cannot commit to the repository through Gitpod.": [[6, "i-authenticated-through-github-but-i-still-cannot-commit-to-the-repository-through-gitpod"]], "I registered on Gitpod but I still cannot see a Gitpod button in my repositories.": [[6, "i-registered-on-gitpod-but-i-still-cannot-see-a-gitpod-button-in-my-repositories"]], "I/O": [[2277, "i-o"], [2283, "i-o"], [2289, "i-o"], [2294, "i-o"], [2298, "i-o"], [2302, "i-o"], [2307, "i-o"]], "I/O Reading": [[2203, "i-o-reading"]], "INNER JOIN": [[18, "inner-join"]], "IO": [[2235, "io"], [2236, "io"], [2237, "io"], [2238, "io"], [2239, "io"], [2241, "io"], [2246, "io"], [2249, "io"], [2250, "io"], [2251, "io"], [2265, "io"], [2271, "io"]], "IO and LZMA": [[2250, "io-and-lzma"]], "IO enhancements": [[2217, "io-enhancements"]], "IO tools (text, CSV, HDF5, \u2026)": [[2199, null]], "If/then logic": [[16, "if-then-logic"], [17, "if-then-logic"], [19, "if-then-logic"]], "Ignoring dtypes in concat with empty or all-NA columns": [[2289, "ignoring-dtypes-in-concat-with-empty-or-all-na-columns"]], "Ignoring indexes on the concatenation axis": [[2200, "ignoring-indexes-on-the-concatenation-axis"]], "Ignoring line comments and empty lines": [[2199, "ignoring-line-comments-and-empty-lines"]], "Importing and exporting data": [[2184, "importing-and-exporting-data"]], "Importing from other DataFrame libraries": [[2170, "importing-from-other-dataframe-libraries"]], "Improved error handling during item assignment in pd.eval": [[2238, "improved-error-handling-during-item-assignment-in-pd-eval"]], "Improved warning messages": [[2289, "improved-warning-messages"]], "Improved warnings when attempting to create columns": [[2238, "improved-warnings-when-attempting-to-create-columns"]], "Improvements in the SQL IO module": [[2222, "improvements-in-the-sql-io-module"]], "Improvements to the Parquet IO functionality": [[2239, "improvements-to-the-parquet-io-functionality"]], "Incompatible Index type unions": [[2249, "incompatible-index-type-unions"]], "Inconsistent date string parsing": [[2289, "inconsistent-date-string-parsing"]], "Increased minimum version for Python": [[2265, "increased-minimum-version-for-python"], [2277, "increased-minimum-version-for-python"], [2289, "increased-minimum-version-for-python"], [2302, "increased-minimum-version-for-python"]], "Increased minimum versions for dependencies": [[2246, "increased-minimum-versions-for-dependencies"], [2249, "increased-minimum-versions-for-dependencies"], [2265, "increased-minimum-versions-for-dependencies"], [2271, "increased-minimum-versions-for-dependencies"], [2277, "increased-minimum-versions-for-dependencies"], [2283, "increased-minimum-versions-for-dependencies"], [2289, "increased-minimum-versions-for-dependencies"], [2294, "increased-minimum-versions-for-dependencies"], [2298, "increased-minimum-versions-for-dependencies"], [2302, "increased-minimum-versions-for-dependencies"], [2307, "increased-minimum-versions-for-dependencies"]], "Index": [[16, "index"], [17, "index"], [19, "index"], [2173, "index"]], "Index + / - no longer used for set operations": [[2232, "index-no-longer-used-for-set-operations"]], "Index can hold arbitrary ExtensionArrays": [[2289, "index-can-hold-arbitrary-extensionarrays"]], "Index can now hold numpy numeric dtypes": [[2298, "index-can-now-hold-numpy-numeric-dtypes"]], "Index columns and trailing delimiters": [[2199, "index-columns-and-trailing-delimiters"]], "Index division by zero fills correctly": [[2241, "index-division-by-zero-fills-correctly"]], "Index metadata descriptors": [[9, "index-metadata-descriptors"]], "Index objects": [[2173, null], [2197, "index-objects"]], "Index of min/max values": [[2186, "index-of-min-max-values"]], "Index representation": [[2226, "index-representation"]], "Index types": [[2185, "index-types"]], "Index.difference and .symmetric_difference changes": [[2232, "index-difference-and-symmetric-difference-changes"]], "Index.intersection and inner join now preserve the order of the left Index": [[2235, "index-intersection-and-inner-join-now-preserve-the-order-of-the-left-index"]], "Index.unique consistently returns Index": [[2232, "index-unique-consistently-returns-index"]], "Index/column name preservation when aggregating": [[2277, "index-column-name-preservation-when-aggregating"]], "Indexer dtype changes": [[2232, "indexer-dtype-changes"]], "Indexes": [[2199, "indexes"]], "Indexing": [[12, "indexing"], [2199, "indexing"], [2210, "indexing"], [2235, "indexing"], [2236, "indexing"], [2237, "indexing"], [2238, "indexing"], [2239, "indexing"], [2241, "indexing"], [2246, "indexing"], [2249, "indexing"], [2250, "indexing"], [2251, "indexing"], [2265, "indexing"], [2271, "indexing"], [2277, "indexing"], [2283, "indexing"], [2289, "indexing"], [2294, "indexing"], [2298, "indexing"], [2302, "indexing"], [2307, "indexing"]], "Indexing / selection": [[2191, "indexing-selection"]], "Indexing API changes": [[2218, "indexing-api-changes"]], "Indexing an IntervalIndex with Interval objects": [[2249, "indexing-an-intervalindex-with-interval-objects"]], "Indexing and selecting data": [[2197, null]], "Indexing changes": [[2225, "indexing-changes"]], "Indexing potentially changes underlying Series dtype": [[2185, "indexing-potentially-changes-underlying-series-dtype"]], "Indexing with .str": [[2208, "indexing-with-str"]], "Indexing with NA values": [[2187, "indexing-with-na-values"]], "Indexing with []": [[2231, "indexing-with"]], "Indexing with a Boolean Index": [[2238, "indexing-with-a-boolean-index"]], "Indexing with a list with missing labels is deprecated": [[2238, "indexing-with-a-list-with-missing-labels-is-deprecated"]], "Indexing with an IntervalIndex": [[2185, "indexing-with-an-intervalindex"]], "Indexing with date strings with UTC offsets": [[2249, "indexing-with-date-strings-with-utc-offsets"]], "Indexing with isin": [[2197, "indexing-with-isin"]], "Indexing with nullable boolean arrays": [[2267, "indexing-with-nullable-boolean-arrays"]], "Indexing, iteration": [[2169, "indexing-iteration"], [2171, "indexing-iteration"], [2179, "indexing-iteration"], [2180, "indexing-iteration"]], "Inferring datetime format": [[2199, "inferring-datetime-format"]], "Infinity": [[2199, "infinity"]], "Inplace operation when setting values with loc and iloc": [[2294, "inplace-operation-when-setting-values-with-loc-and-iloc"]], "Input/output": [[2174, null]], "Inserting missing data": [[2201, "inserting-missing-data"]], "Insertion method": [[2199, "insertion-method"]], "Installation": [[21, "installation"], [22, null]], "Installing from PyPI": [[22, "installing-from-pypi"]], "Installing from source": [[22, "installing-from-source"]], "Installing optional dependencies with pip extras": [[2298, "installing-optional-dependencies-with-pip-extras"]], "Installing pandas": [[22, "installing-pandas"]], "Installing the development version of pandas": [[22, "installing-the-development-version-of-pandas"]], "Installing with Anaconda": [[22, "installing-with-anaconda"]], "Installing with Miniconda": [[22, "installing-with-miniconda"]], "Instantiation from dicts preserves dict insertion order for Python 3.6+": [[2241, "instantiation-from-dicts-preserves-dict-insertion-order-for-python-3-6"]], "Institutional partners": [[34, "institutional-partners"]], "Integer addition/subtraction with datetimes and timedeltas is deprecated": [[2246, "integer-addition-subtraction-with-datetimes-and-timedeltas-is-deprecated"]], "Integer indexing": [[2185, "integer-indexing"]], "Integration with Apache Parquet file format": [[2238, "integration-with-apache-parquet-file-format"]], "Interaction with scipy.sparse": [[2206, "interaction-with-scipy-sparse"], [2225, "interaction-with-scipy-sparse"]], "Internal refactoring": [[2218, "internal-refactoring"], [2222, "internal-refactoring"]], "Internals": [[12, null]], "International date formats": [[2199, "international-date-formats"]], "Interpolation": [[2201, "interpolation"]], "Interpolation limits": [[2201, "interpolation-limits"]], "Interval": [[2246, "interval"], [2249, "interval"], [2250, "interval"], [2265, "interval"], [2271, "interval"], [2277, "interval"], [2283, "interval"], [2289, "interval"], [2294, "interval"], [2298, "interval"], [2302, "interval"], [2307, "interval"]], "IntervalIndex": [[2173, "intervalindex"], [2185, "intervalindex"], [2235, "intervalindex"]], "IntervalIndex components": [[2173, "intervalindex-components"]], "Intervals": [[2167, "intervals"]], "Intro to data structures": [[2191, null]], "Intro to pandas": [[21, "intro-to-pandas"]], "Invalid data": [[2210, "invalid-data"]], "Investigating regressions": [[13, "investigating-regressions"]], "Issue triage": [[13, "issue-triage"]], "Iterable introspection": [[2167, "iterable-introspection"]], "Iterating through files chunk by chunk": [[2199, "iterating-through-files-chunk-by-chunk"]], "Iterating through groups": [[2195, "iterating-through-groups"], [2210, "iterating-through-groups"]], "Iteration": [[2186, "iteration"], [2199, "iteration"]], "Iteration of Series/Index will now return Python scalars": [[2238, "iteration-of-series-index-will-now-return-python-scalars"]], "Iterator": [[2199, "iterator"]], "JOIN": [[18, "join"]], "JSON": [[2174, "json"], [2199, "json"]], "JSON normalize with max_level param support": [[2249, "json-normalize-with-max-level-param-support"]], "JSON read/write round-trippable with orient='table'": [[2241, "json-read-write-round-trippable-with-orient-table"]], "Join": [[2184, "join"]], "Join tables using a common identifier": [[30, "join-tables-using-a-common-identifier"]], "Joining a single Index to a MultiIndex": [[2200, "joining-a-single-index-to-a-multiindex"]], "Joining logic of the resulting axis": [[2200, "joining-logic-of-the-resulting-axis"]], "Joining multiple DataFrame": [[2200, "joining-multiple-dataframe"]], "Joining with two MultiIndex": [[2200, "joining-with-two-multiindex"]], "Joining with two multi-indexes": [[2246, "joining-with-two-multi-indexes"]], "Joyful pandas": [[35, "joyful-pandas"]], "Keep certain columns": [[16, "keep-certain-columns"], [17, "keep-certain-columns"], [19, "keep-certain-columns"]], "KeyErrors raised by loc specify missing labels": [[2271, "keyerrors-raised-by-loc-specify-missing-labels"]], "Keyword argument dtype for data IO": [[2235, "keyword-argument-dtype-for-data-io"]], "Kleene logical operations": [[2187, "kleene-logical-operations"]], "Known issues": [[2220, "known-issues"]], "LEFT OUTER JOIN": [[18, "left-outer-join"]], "LIMIT": [[18, "limit"]], "LaTeX": [[2199, "latex"]], "Label-based integer slicing on a Series with an Int64Index or RangeIndex": [[2294, "label-based-integer-slicing-on-a-series-with-an-int64index-or-rangeindex"]], "Lag plot": [[2211, "lag-plot"]], "LastWeekOfMonth": [[2176, "lastweekofmonth"]], "Latex": [[2174, "latex"]], "Latex representation": [[2230, "latex-representation"]], "Learn pandas by Hernan Rojas": [[35, "learn-pandas-by-hernan-rojas"]], "License": [[34, "license"]], "Limitations": [[2207, "Limitations"]], "Limiting output": [[16, "limiting-output"], [17, "limiting-output"], [19, "limiting-output"]], "Limits on filling while reindexing": [[2186, "limits-on-filling-while-reindexing"]], "Line delimited json": [[2199, "line-delimited-json"]], "List accessor": [[2180, "list-accessor"]], "Load less data": [[2205, "load-less-data"]], "Local variables": [[2193, "local-variables"]], "Logical operations": [[2201, "logical-operations"]], "Logical operators": [[2232, "logical-operators"]], "Logical reductions over entire DataFrame": [[2243, "logical-reductions-over-entire-dataframe"]], "Long to wide table format": [[29, "long-to-wide-table-format"]], "Looking up values by index/column labels": [[2197, "looking-up-values-by-index-column-labels"]], "Magnify": [[2207, "Magnify"]], "Making a pull request": [[1, "making-a-pull-request"]], "Making code changes": [[1, "making-code-changes"]], "Map on Index types now return other Index types": [[2235, "map-on-index-types-now-return-other-index-types"]], "Mask": [[2197, "mask"]], "Matching / broadcasting behavior": [[2186, "matching-broadcasting-behavior"]], "Memory usage": [[2188, "memory-usage"], [2222, "memory-usage"]], "Memory usage for Index is more accurate": [[2235, "memory-usage-for-index-is-more-accurate"]], "Merge": [[2184, "merge"]], "Merge key uniqueness": [[2200, "merge-key-uniqueness"]], "Merge result indicator": [[2200, "merge-result-indicator"]], "Merge types": [[2200, "merge-types"]], "Merge, join, concatenate and compare": [[2200, null]], "Merging": [[16, "merging"], [17, "merging"], [19, "merging"]], "Merging / concatenation": [[2188, "merging-concatenation"]], "Merging changes": [[2232, "merging-changes"]], "Merging on a combination of columns and index levels": [[2200, "merging-on-a-combination-of-columns-and-index-levels"], [2241, "merging-on-a-combination-of-columns-and-index-levels"]], "Merging pull requests": [[13, "merging-pull-requests"]], "Metadata": [[2169, "metadata"], [2180, "metadata"], [2294, "metadata"], [2298, "metadata"], [2302, "metadata"]], "Method .assign() accepts dependent arguments": [[2241, "method-assign-accepts-dependent-arguments"]], "Method .describe() changes": [[2232, "method-describe-changes"]], "Method .groupby(..) syntax with window and resample operations": [[2231, "method-groupby-syntax-with-window-and-resample-operations"]], "Method .groupby(..).nth() changes": [[2231, "method-groupby-nth-changes"]], "Method .rank() handles inf values when NaN are present": [[2241, "method-rank-handles-inf-values-when-nan-are-present"]], "Method .rolling() is now time-series aware": [[2232, "method-rolling-is-now-time-series-aware"]], "Method .to_datetime() has gained an origin parameter": [[2235, "method-to-datetime-has-gained-an-origin-parameter"]], "Method agg API for DataFrame/Series": [[2235, "method-agg-api-for-dataframe-series"]], "Method chaining improvements": [[2231, "method-chaining-improvements"]], "Method convert_dtypes to ease use of supported extension dtypes": [[2265, "method-convert-dtypes-to-ease-use-of-supported-extension-dtypes"]], "Method drop now also accepts index/columns keywords": [[2238, "method-drop-now-also-accepts-index-columns-keywords"]], "Method get_dummies now returns integer dtypes": [[2232, "method-get-dummies-now-returns-integer-dtypes"]], "Method infer_objects type conversion": [[2238, "method-infer-objects-type-conversion"]], "Method read_csv has improved support for duplicate column names": [[2232, "method-read-csv-has-improved-support-for-duplicate-column-names"]], "Method read_csv supports parsing Categorical directly": [[2232, "method-read-csv-supports-parsing-categorical-directly"]], "Method summary": [[2208, "method-summary"]], "Method to_datetime error changes": [[2231, "method-to-datetime-error-changes"]], "Method to_xarray": [[2230, "method-to-xarray"]], "Methods": [[2167, "methods"], [2167, "id2"], [2167, "id4"], [2173, "methods"], [2173, "id6"], [2173, "id8"], [2176, "methods"], [2176, "id2"], [2176, "id4"], [2176, "id6"], [2176, "id8"], [2176, "id10"], [2176, "id12"], [2176, "id14"], [2176, "id16"], [2176, "id18"], [2176, "id20"], [2176, "id22"], [2176, "id24"], [2176, "id26"], [2176, "id28"], [2176, "id30"], [2176, "id32"], [2176, "id34"], [2176, "id36"], [2176, "id38"], [2176, "id40"], [2176, "id42"], [2176, "id44"], [2176, "id46"], [2176, "id48"], [2176, "id50"], [2176, "id52"], [2176, "id54"], [2176, "id56"], [2176, "id58"], [2176, "id60"], [2176, "id62"], [2176, "id64"], [2176, "id66"], [2176, "id68"]], "Methods .loc[], .iloc[], .ix[]": [[2231, "methods-loc-iloc-ix"]], "Methods .where() and .mask()": [[2231, "methods-where-and-mask"]], "Methods rename, reindex now also accept axis keyword": [[2238, "methods-rename-reindex-now-also-accept-axis-keyword"]], "Methods to Add Styles": [[2207, "Methods-to-Add-Styles"]], "Micro": [[2176, "micro"]], "Migrating to Copy-on-Write": [[2190, "migrating-to-copy-on-write"]], "Milli": [[2176, "milli"]], "Minute": [[2176, "minute"]], "Miscellaneous indexing FAQ": [[2185, "miscellaneous-indexing-faq"]], "Missing": [[2246, "missing"], [2249, "missing"], [2250, "missing"], [2265, "missing"], [2271, "missing"], [2277, "missing"], [2283, "missing"], [2289, "missing"], [2294, "missing"], [2298, "missing"], [2302, "missing"], [2307, "missing"]], "Missing data": [[16, "missing-data"], [19, "missing-data"], [2184, "missing-data"], [2188, "missing-data"], [2204, "missing-data"]], "Missing data / operations with fill values": [[2186, "missing-data-operations-with-fill-values"]], "Missing data handling": [[2169, "missing-data-handling"], [2180, "missing-data-handling"]], "Missing value representation for NumPy types": [[2194, "missing-value-representation-for-numpy-types"]], "Missing values": [[2173, "missing-values"], [2175, null], [2197, "missing-values"]], "Modern pandas": [[35, "modern-pandas"]], "Modifying and computations": [[2173, "modifying-and-computations"], [2173, "id1"]], "Modules privacy has changed": [[2235, "modules-privacy-has-changed"]], "MonthBegin": [[2176, "monthbegin"]], "MonthEnd": [[2176, "monthend"]], "More About CSS and HTML": [[2207, "More-About-CSS-and-HTML"]], "Multi column sorting": [[2188, "multi-column-sorting"]], "Multi-column factorization": [[2195, "multi-column-factorization"]], "Multi-indexing using slicers": [[2220, "multi-indexing-using-slicers"]], "Multi-threaded CSV reading with a new CSV Engine based on pyarrow": [[2289, "multi-threaded-csv-reading-with-a-new-csv-engine-based-on-pyarrow"]], "MultiIndex": [[12, "multiindex"], [2173, "multiindex"], [2241, "multiindex"], [2246, "multiindex"], [2249, "multiindex"], [2265, "multiindex"], [2271, "multiindex"], [2277, "multiindex"], [2283, "multiindex"], [2289, "multiindex"], [2294, "multiindex"], [2298, "multiindex"], [2302, "multiindex"], [2307, "multiindex"]], "MultiIndex / advanced indexing": [[2185, null]], "MultiIndex components": [[2173, "multiindex-components"]], "MultiIndex constructed from levels and codes": [[2249, "multiindex-constructed-from-levels-and-codes"]], "MultiIndex constructor with a single level": [[2238, "multiindex-constructor-with-a-single-level"]], "MultiIndex constructors": [[2173, "multiindex-constructors"]], "MultiIndex constructors, groupby and set_index preserve categorical dtypes": [[2232, "multiindex-constructors-groupby-and-set-index-preserve-categorical-dtypes"]], "MultiIndex properties": [[2173, "multiindex-properties"]], "MultiIndex query() Syntax": [[2197, "multiindex-query-syntax"]], "MultiIndex selecting": [[2173, "multiindex-selecting"]], "MultiIndex.get_indexer interprets method argument correctly": [[2271, "multiindex-get-indexer-interprets-method-argument-correctly"]], "Multiple levels": [[2204, "multiple-levels"]], "Multiple table queries": [[2199, "multiple-table-queries"]], "Mutability and copying of data": [[34, "mutability-and-copying-of-data"]], "Mutating with User Defined Function (UDF) methods": [[2194, "mutating-with-user-defined-function-udf-methods"]], "My terminal is blank - there is no cursor and it\u2019s completely unresponsive": [[6, "my-terminal-is-blank-there-is-no-cursor-and-it-s-completely-unresponsive"]], "N dimensional panels (experimental)": [[2214, "n-dimensional-panels-experimental"]], "NA and missing data handling": [[2199, "na-and-missing-data-handling"]], "NA boolean comparison API change": [[2260, "na-boolean-comparison-api-change"]], "NA group handling": [[2195, "na-group-handling"]], "NA in a boolean context": [[2201, "na-in-a-boolean-context"]], "NA naming changes": [[2238, "na-naming-changes"]], "NA semantics": [[2201, "na-semantics"]], "NA type promotions for NumPy types": [[2194, "na-type-promotions-for-numpy-types"]], "NA values": [[2199, "na-values"]], "NaT and Timedelta operations": [[2230, "nat-and-timedelta-operations"]], "Name attribute": [[2191, "name-attribute"]], "Named aggregation": [[2195, "named-aggregation"]], "Naming and using columns": [[2199, "naming-and-using-columns"]], "Nano": [[2176, "nano"]], "Native PyArrow-backed ExtensionArray": [[2294, "native-pyarrow-backed-extensionarray"]], "Never operate inplace when setting frame[keys] = values": [[2283, "never-operate-inplace-when-setting-frame-keys-values"]], "New DataFrame.map() method and support for ExtensionArrays": [[2302, "new-dataframe-map-method-and-support-for-extensionarrays"]], "New Index methods": [[2232, "new-index-methods"]], "New Styler.pipe() method": [[2246, "new-styler-pipe-method"]], "New contributor meeting": [[0, "new-contributor-meeting"]], "New deprecation policy": [[2265, "new-deprecation-policy"]], "New features": [[2214, "new-features"], [2215, "new-features"], [2222, "new-features"], [2225, "new-features"], [2227, "new-features"], [2228, "new-features"], [2229, "new-features"], [2230, "new-features"], [2231, "new-features"], [2232, "new-features"], [2235, "new-features"], [2238, "new-features"], [2239, "new-features"], [2241, "new-features"], [2253, "new-features"], [2254, "new-features"], [2255, "new-features"], [2256, "new-features"], [2257, "new-features"], [2258, "new-features"], [2259, "new-features"], [2260, "new-features"], [2262, "new-features"], [2263, "new-features"], [2264, "new-features"]], "New functions or methods": [[2238, "new-functions-or-methods"]], "New implementation of DataFrame.stack()": [[2302, "new-implementation-of-dataframe-stack"]], "New keywords": [[2238, "new-keywords"]], "New observed keyword for excluding unobserved categories in GroupBy": [[2241, "new-observed-keyword-for-excluding-unobserved-categories-in-groupby"]], "New plotting methods": [[2261, "new-plotting-methods"]], "New repr for IntervalArray": [[2265, "new-repr-for-intervalarray"]], "No automatic Matplotlib converters": [[2238, "no-automatic-matplotlib-converters"]], "Non-monotonic PeriodIndex partial string slicing": [[2271, "non-monotonic-periodindex-partial-string-slicing"]], "Non-monotonic indexes require exact matches": [[2185, "non-monotonic-indexes-require-exact-matches"]], "Nonexistent times when localizing": [[2210, "nonexistent-times-when-localizing"]], "Normalization": [[2199, "normalization"], [2204, "normalization"]], "Notable bug fixes": [[2271, "notable-bug-fixes"], [2277, "notable-bug-fixes"], [2283, "notable-bug-fixes"], [2289, "notable-bug-fixes"], [2294, "notable-bug-fixes"], [2298, "notable-bug-fixes"], [2307, "notable-bug-fixes"]], "Notes & caveats": [[2199, "notes-caveats"]], "Null-values are no longer coerced to NaN-value in value_counts and mode": [[2289, "null-values-are-no-longer-coerced-to-nan-value-in-value-counts-and-mode"]], "Nullable Boolean": [[2167, "nullable-boolean"]], "Nullable Boolean data type": [[2187, null]], "Nullable float": [[2167, "nullable-float"]], "Nullable integer": [[2167, "nullable-integer"]], "Nullable integer data type": [[2198, null]], "NumPy datetime64 dtype and 1.6 dependency": [[2261, "numpy-datetime64-dtype-and-1-6-dependency"]], "NumPy function compatibility": [[2231, "numpy-function-compatibility"]], "NumPy ufuncs": [[2201, "numpy-ufuncs"]], "NumPy universal functions": [[10, "numpy-universal-functions"]], "Numba (JIT compilation)": [[2193, "numba-jit-compilation"]], "Numba Accelerated Routines": [[2195, "numba-accelerated-routines"]], "Numba engine": [[2212, "numba-engine"]], "Number formatting": [[2202, "number-formatting"]], "Numeric": [[2235, "numeric"], [2236, "numeric"], [2238, "numeric"], [2239, "numeric"], [2241, "numeric"], [2246, "numeric"], [2249, "numeric"], [2250, "numeric"], [2265, "numeric"], [2271, "numeric"], [2277, "numeric"], [2283, "numeric"], [2289, "numeric"], [2294, "numeric"], [2298, "numeric"], [2302, "numeric"], [2307, "numeric"]], "Numeric Index": [[2173, "numeric-index"]], "Numeric formatting": [[2177, "numeric-formatting"]], "ORC": [[2174, "orc"], [2199, "orc"]], "Object creation": [[2184, "object-creation"], [2188, "object-creation"]], "Objects": [[2167, "objects"]], "Offset aliases": [[2210, "offset-aliases"]], "Offsets": [[2241, "offsets"], [2246, "offsets"]], "OpenDocument Spreadsheets": [[2199, "opendocument-spreadsheets"]], "Operations": [[2184, "operations"], [2188, "operations"], [2198, "operations"], [2203, "operations"], [2209, "operations"], [2209, "id1"]], "Operations on columns": [[16, "operations-on-columns"], [17, "operations-on-columns"], [19, "operations-on-columns"]], "Operators now preserve dtypes": [[2232, "operators-now-preserve-dtypes"]], "Optimization": [[2207, "Optimization"]], "Option 1: using Liveserve": [[6, "option-1-using-liveserve"]], "Option 1: using mamba (recommended)": [[5, "option-1-using-mamba-recommended"]], "Option 2: using pip": [[5, "option-2-using-pip"]], "Option 2: using the rst extension": [[6, "option-2-using-the-rst-extension"]], "Option 3: using Docker": [[5, "option-3-using-docker"]], "Option 4: using Gitpod": [[5, "option-4-using-gitpod"]], "Optional dependencies": [[2, "optional-dependencies"], [22, "optional-dependencies"]], "Optional integer NA support": [[2246, "optional-integer-na-support"]], "Optionally disallow duplicate labels": [[2277, "optionally-disallow-duplicate-labels"]], "Options and settings": [[2177, null], [2202, null]], "Orient options": [[2199, "orient-options"]], "Other": [[2235, "other"], [2236, "other"], [2238, "other"], [2241, "other"], [2246, "other"], [2249, "other"], [2250, "other"], [2251, "other"], [2265, "other"], [2271, "other"], [2273, "other"], [2274, "other"], [2276, "other"], [2277, "other"], [2278, "other"], [2283, "other"], [2287, "other"], [2289, "other"], [2290, "other"], [2292, "other"], [2293, "other"], [2294, "other"], [2295, "other"], [2296, "other"], [2297, "other"], [2298, "other"], [2299, "other"], [2300, "other"], [2301, "other"], [2302, "other"], [2303, "other"], [2304, "other"], [2307, "other"], [2308, "other"], [2309, "other"], [2310, "other"]], "Other API changes": [[2225, "other-api-changes"], [2228, "other-api-changes"], [2230, "other-api-changes"], [2231, "other-api-changes"], [2232, "other-api-changes"], [2235, "other-api-changes"], [2238, "other-api-changes"], [2241, "other-api-changes"], [2246, "other-api-changes"], [2249, "other-api-changes"], [2257, "other-api-changes"], [2260, "other-api-changes"], [2261, "other-api-changes"], [2265, "other-api-changes"], [2277, "other-api-changes"], [2283, "other-api-changes"], [2289, "other-api-changes"], [2294, "other-api-changes"], [2298, "other-api-changes"], [2302, "other-api-changes"], [2307, "other-api-changes"]], "Other Deprecations": [[2283, "other-deprecations"], [2289, "other-deprecations"], [2294, "other-deprecations"], [2302, "other-deprecations"], [2307, "other-deprecations"]], "Other Fun and Useful Stuff": [[2207, "Other-Fun-and-Useful-Stuff"]], "Other considerations": [[16, "other-considerations"], [17, "other-considerations"], [19, "other-considerations"]], "Other data sources": [[22, "other-data-sources"]], "Other deprecations": [[2235, "other-deprecations"], [2249, "other-deprecations"]], "Other development changes": [[2235, "other-development-changes"]], "Other enhancements": [[2217, "other-enhancements"], [2225, "other-enhancements"], [2226, "other-enhancements"], [2227, "other-enhancements"], [2228, "other-enhancements"], [2230, "other-enhancements"], [2231, "other-enhancements"], [2232, "other-enhancements"], [2235, "other-enhancements"], [2238, "other-enhancements"], [2239, "other-enhancements"], [2241, "other-enhancements"], [2246, "other-enhancements"], [2249, "other-enhancements"], [2265, "other-enhancements"], [2271, "other-enhancements"], [2277, "other-enhancements"], [2283, "other-enhancements"], [2289, "other-enhancements"], [2294, "other-enhancements"], [2298, "other-enhancements"], [2302, "other-enhancements"], [2307, "other-enhancements"]], "Other file formats": [[2199, "other-file-formats"]], "Other new features": [[2261, "other-new-features"]], "Other plots": [[2211, "other-plots"]], "Other sparse fixes": [[2232, "other-sparse-fixes"]], "Other useful features": [[2195, "other-useful-features"]], "Output formatting enhancements": [[2219, "output-formatting-enhancements"]], "Overlapping value columns": [[2200, "overlapping-value-columns"]], "Override constructor properties": [[10, "override-constructor-properties"]], "Overview": [[2202, "overview"], [2210, "overview"], [2212, "overview"]], "Package overview": [[34, null]], "Pandas 2.2.2 is now compatible with numpy 2.0": [[2309, "pandas-2-2-2-is-now-compatible-with-numpy-2-0"]], "Pandas 2.2.3 is now compatible with Python 3.13": [[2310, "pandas-2-2-3-is-now-compatible-with-python-3-13"]], "Parallel coordinates": [[2211, "parallel-coordinates"]], "Parameter types": [[3, "parameter-types"]], "Parametric offsets": [[2210, "parametric-offsets"]], "Parquet": [[2174, "parquet"], [2184, "parquet"], [2199, "parquet"]], "Parsing": [[2209, "parsing"]], "Parsing a CSV with mixed timezones": [[2199, "parsing-a-csv-with-mixed-timezones"]], "Parsing dates": [[2199, "parsing-dates"]], "Parsing datetime strings with timezone offsets": [[2246, "parsing-datetime-strings-with-timezone-offsets"]], "Parsing mixed-timezones with read_csv()": [[2246, "parsing-mixed-timezones-with-read-csv"]], "Parsing options": [[2199, "parsing-options"]], "Parsing specific columns": [[2199, "parsing-specific-columns"]], "Parsing timezone-aware format with different timezones in to_datetime": [[2271, "parsing-timezone-aware-format-with-different-timezones-in-to-datetime"]], "Partial string indexing": [[2210, "partial-string-indexing"]], "Partial string indexing changes": [[2235, "partial-string-indexing-changes"]], "Partial string indexing on DatetimeIndex when part of a MultiIndex": [[2231, "partial-string-indexing-on-datetimeindex-when-part-of-a-multiindex"]], "Partitioning Parquet files": [[2199, "partitioning-parquet-files"]], "Passing arguments to fsspec backends": [[2277, "passing-arguments-to-fsspec-backends"]], "Passing integer data and a timezone to DatetimeIndex": [[2246, "passing-integer-data-and-a-timezone-to-datetimeindex"]], "Patterns to avoid": [[2190, "patterns-to-avoid"]], "Performance": [[2199, "performance"], [2219, "performance"], [2220, "performance"], [2221, "performance"], [2222, "performance"], [2224, "performance"]], "Performance considerations": [[2199, "performance-considerations"]], "Performance dependencies (recommended)": [[22, "performance-dependencies-recommended"]], "Performance enhancements": [[2253, "performance-enhancements"], [2254, "performance-enhancements"], [2255, "performance-enhancements"]], "Performance improvements": [[2225, "performance-improvements"], [2226, "performance-improvements"], [2227, "performance-improvements"], [2228, "performance-improvements"], [2229, "performance-improvements"], [2230, "performance-improvements"], [2231, "performance-improvements"], [2232, "performance-improvements"], [2233, "performance-improvements"], [2234, "performance-improvements"], [2235, "performance-improvements"], [2236, "performance-improvements"], [2238, "performance-improvements"], [2239, "performance-improvements"], [2241, "performance-improvements"], [2242, "performance-improvements"], [2246, "performance-improvements"], [2249, "performance-improvements"], [2256, "performance-improvements"], [2257, "performance-improvements"], [2258, "performance-improvements"], [2259, "performance-improvements"], [2262, "performance-improvements"], [2265, "performance-improvements"], [2271, "performance-improvements"], [2277, "performance-improvements"], [2283, "performance-improvements"], [2286, "performance-improvements"], [2289, "performance-improvements"], [2294, "performance-improvements"], [2298, "performance-improvements"], [2302, "performance-improvements"], [2307, "performance-improvements"]], "Performance of query()": [[2197, "performance-of-query"]], "Period": [[2167, "period"], [2210, "period"], [2277, "period"], [2283, "period"], [2289, "period"], [2294, "period"], [2298, "period"], [2302, "period"], [2307, "period"]], "Period aliases": [[2210, "period-aliases"]], "Period changes": [[2232, "period-changes"]], "Period dtypes": [[2210, "period-dtypes"]], "Period frequency enhancement": [[2228, "period-frequency-enhancement"]], "Period properties": [[2180, "period-properties"]], "Period subtraction": [[2246, "period-subtraction"]], "Period('NaT') now returns pd.NaT": [[2232, "period-nat-now-returns-pd-nat"]], "PeriodIndex": [[2173, "periodindex"]], "PeriodIndex and period_range": [[2210, "periodindex-and-period-range"]], "PeriodIndex partial string indexing": [[2210, "periodindex-partial-string-indexing"]], "PeriodIndex resampling": [[2238, "periodindex-resampling"]], "PeriodIndex.values now returns array of Period object": [[2232, "periodindex-values-now-returns-array-of-period-object"]], "Periods": [[2167, "periods"]], "Pickle file IO now supports compression": [[2235, "pickle-file-io-now-supports-compression"]], "Pickling": [[2174, "pickling"], [2199, "pickling"]], "Pie plot": [[2211, "pie-plot"]], "Pipe": [[2227, "pipe"]], "Piping function calls": [[2195, "piping-function-calls"]], "Pivot Tables": [[17, "pivot-tables"]], "Pivot table": [[29, "pivot-table"]], "Pivot table always returns a DataFrame": [[2235, "pivot-table-always-returns-a-dataframe"]], "Pivot tables": [[2184, "pivot-tables"]], "Plain Cython": [[2193, "plain-cython"]], "Plot formatting": [[2211, "plot-formatting"]], "Plot submethods": [[2228, "plot-submethods"]], "Plots in examples": [[3, "plots-in-examples"]], "Plotting": [[2169, "plotting"], [2178, null], [2180, "plotting"], [2184, "plotting"], [2195, "plotting"], [2220, "plotting"], [2235, "plotting"], [2236, "plotting"], [2237, "plotting"], [2238, "plotting"], [2239, "plotting"], [2241, "plotting"], [2246, "plotting"], [2249, "plotting"], [2250, "plotting"], [2265, "plotting"], [2271, "plotting"], [2277, "plotting"], [2283, "plotting"], [2289, "plotting"], [2294, "plotting"], [2298, "plotting"], [2302, "plotting"], [2307, "plotting"]], "Plotting and visualization": [[2171, "plotting-and-visualization"]], "Plotting backends": [[10, "plotting-backends"], [2211, "plotting-backends"]], "Plotting directly with Matplotlib": [[2211, "plotting-directly-with-matplotlib"]], "Plotting on a secondary y-axis": [[2211, "plotting-on-a-secondary-y-axis"]], "Plotting tables": [[2211, "plotting-tables"]], "Plotting tools": [[2211, "plotting-tools"]], "Plotting with error bars": [[2211, "plotting-with-error-bars"]], "Plotting with missing data": [[2211, "plotting-with-missing-data"]], "Policies": [[14, null]], "Possible incompatibility for HDF5 formats created with pandas < 0.13.0": [[2235, "possible-incompatibility-for-hdf5-formats-created-with-pandas-0-13-0"]], "Post-Release": [[13, "post-release"]], "Potential porting issues for pandas <= 0.7.3 users": [[2261, "potential-porting-issues-for-pandas-0-7-3-users"]], "Practical data analysis with Python": [[35, "practical-data-analysis-with-python"]], "Pre-commit": [[2, "pre-commit"]], "Pre-release": [[13, "pre-release"]], "Preferred pytest idioms": [[2, "preferred-pytest-idioms"]], "Prerequisites": [[13, "prerequisites"]], "Preserve dtypes in DataFrame.combine_first()": [[2283, "preserve-dtypes-in-dataframe-combine-first"]], "Previewing changes": [[4, "previewing-changes"]], "Previous API will work but with deprecations": [[2230, "previous-api-will-work-but-with-deprecations"]], "Previous behavior": [[2190, "previous-behavior"]], "Prior version deprecations/changes": [[2218, "prior-version-deprecations-changes"], [2219, "prior-version-deprecations-changes"], [2220, "prior-version-deprecations-changes"]], "Project governance": [[34, "project-governance"]], "Propagation in arithmetic and comparison operations": [[2201, "propagation-in-arithmetic-and-comparison-operations"]], "Proper handling of np.nan in a string data-typed column with the Python engine": [[2246, "proper-handling-of-np-nan-in-a-string-data-typed-column-with-the-python-engine"]], "Properties": [[2167, "properties"], [2167, "id1"], [2167, "id3"], [2167, "id5"], [2173, "properties"], [2173, "id7"], [2176, "properties"], [2176, "id1"], [2176, "id3"], [2176, "id5"], [2176, "id7"], [2176, "id9"], [2176, "id11"], [2176, "id13"], [2176, "id15"], [2176, "id17"], [2176, "id19"], [2176, "id21"], [2176, "id23"], [2176, "id25"], [2176, "id27"], [2176, "id29"], [2176, "id31"], [2176, "id33"], [2176, "id35"], [2176, "id37"], [2176, "id39"], [2176, "id41"], [2176, "id43"], [2176, "id45"], [2176, "id47"], [2176, "id49"], [2176, "id51"], [2176, "id53"], [2176, "id55"], [2176, "id57"], [2176, "id59"], [2176, "id61"], [2176, "id63"], [2176, "id65"], [2176, "id67"]], "Providing a format argument": [[2210, "providing-a-format-argument"]], "Publishing": [[13, "publishing"]], "Pure Python": [[2193, "pure-python"]], "Pushing your changes": [[1, "pushing-your-changes"]], "PyArrow": [[2167, "pyarrow"]], "PyArrow Functionality": [[2203, null]], "PyArrow backed string data type": [[2283, "pyarrow-backed-string-data-type"]], "PyArrow will become a required dependency with pandas 3.0": [[2302, "pyarrow-will-become-a-required-dependency-with-pandas-3-0"]], "PyPy": [[2238, "pypy"]], "Python support": [[14, "python-support"]], "Python version support": [[22, "python-version-support"]], "QuarterBegin": [[2176, "quarterbegin"]], "QuarterEnd": [[2176, "quarterend"]], "Query MultiIndex": [[2199, "query-multiindex"]], "Query timedelta64[ns]": [[2199, "query-timedelta64-ns"]], "Query via data columns": [[2199, "query-via-data-columns"]], "Querying": [[2199, "querying"], [2199, "id8"]], "Querying a table": [[2199, "querying-a-table"]], "Querying, filtering, sampling": [[15, "querying-filtering-sampling"]], "Quick reference": [[15, "quick-reference"]], "Quick workspace tour": [[6, "quick-workspace-tour"]], "Quoting and Escape Characters": [[2199, "quoting-and-escape-characters"]], "Quoting, compression, and file format": [[2199, "quoting-compression-and-file-format"]], "RIGHT JOIN": [[18, "right-join"]], "RadViz": [[2211, "radviz"]], "Raise ValueError in DataFrame.to_dict(orient='index')": [[2246, "raise-valueerror-in-dataframe-to-dict-orient-index"]], "Range Index": [[2230, "range-index"]], "RangeIndex": [[2185, "rangeindex"]], "Rank function for rolling and expanding windows": [[2289, "rank-function-for-rolling-and-expanding-windows"]], "Read and write XML documents": [[2283, "read-and-write-xml-documents"]], "Read-only NumPy arrays": [[2190, "read-only-numpy-arrays"]], "Read/write API": [[2199, "read-write-api"]], "Reading Excel files": [[2199, "reading-excel-files"]], "Reading HTML content": [[2199, "reading-html-content"]], "Reading JSON": [[2199, "reading-json"]], "Reading XML": [[2199, "reading-xml"]], "Reading a MultiIndex": [[2199, "reading-a-multiindex"]], "Reading an index with a MultiIndex": [[2199, "reading-an-index-with-a-multiindex"]], "Reading columns with a MultiIndex": [[2199, "reading-columns-with-a-multiindex"]], "Reading directly from TAR archives": [[2294, "reading-directly-from-tar-archives"]], "Reading external data": [[16, "reading-external-data"], [17, "reading-external-data"], [19, "reading-external-data"]], "Reading from Stata format": [[2199, "reading-from-stata-format"]], "Reading multiple files to create a single DataFrame": [[2199, "reading-multiple-files-to-create-a-single-dataframe"]], "Reading tables": [[2199, "reading-tables"]], "Reading/writing remote files": [[2199, "reading-writing-remote-files"]], "Reconstructing the level labels": [[2185, "reconstructing-the-level-labels"]], "Reductions": [[2209, "reductions"]], "Reference tracking": [[7, "reference-tracking"]], "Regaining original data": [[2188, "regaining-original-data"]], "Registering custom accessors": [[10, "registering-custom-accessors"]], "Regular expression replacement": [[2201, "regular-expression-replacement"]], "Reindexing": [[2197, "reindexing"]], "Reindexing / selection / label manipulation": [[2169, "reindexing-selection-label-manipulation"], [2180, "reindexing-selection-label-manipulation"]], "Reindexing and altering labels": [[2186, "reindexing-and-altering-labels"]], "Reindexing to align with another object": [[2186, "reindexing-to-align-with-another-object"]], "Release": [[13, "release"]], "Release notes": [[2213, null]], "Release process": [[13, "release-process"]], "Releasing the GIL": [[2228, "releasing-the-gil"]], "Removal of deprecated float indexers": [[2230, "removal-of-deprecated-float-indexers"]], "Removal of prior version deprecations/changes": [[2222, "removal-of-prior-version-deprecations-changes"], [2225, "removal-of-prior-version-deprecations-changes"], [2228, "removal-of-prior-version-deprecations-changes"], [2230, "removal-of-prior-version-deprecations-changes"], [2232, "removal-of-prior-version-deprecations-changes"], [2235, "removal-of-prior-version-deprecations-changes"], [2238, "removal-of-prior-version-deprecations-changes"], [2241, "removal-of-prior-version-deprecations-changes"], [2246, "removal-of-prior-version-deprecations-changes"], [2249, "removal-of-prior-version-deprecations-changes"], [2265, "removal-of-prior-version-deprecations-changes"], [2298, "removal-of-prior-version-deprecations-changes"]], "Removed artificial truncation in rolling variance and standard deviation": [[2283, "removed-artificial-truncation-in-rolling-variance-and-standard-deviation"]], "Removing categories": [[2188, "removing-categories"]], "Removing unused categories": [[2188, "removing-unused-categories"]], "Rename a column": [[16, "rename-a-column"], [17, "rename-a-column"], [19, "rename-a-column"]], "Renaming / mapping labels": [[2186, "renaming-mapping-labels"]], "Renaming categories": [[2188, "renaming-categories"]], "Renaming names in a MultiIndex": [[2246, "renaming-names-in-a-multiindex"]], "Renaming names of an Index or MultiIndex": [[2185, "renaming-names-of-an-index-or-multiindex"]], "Rendering the pandas documentation": [[6, "rendering-the-pandas-documentation"]], "Reordering": [[2188, "reordering"]], "Reordering levels with reorder_levels": [[2185, "reordering-levels-with-reorder-levels"]], "Reorganization of the library: privacy changes": [[2235, "reorganization-of-the-library-privacy-changes"]], "Replace missing values with a specified value": [[16, "replace-missing-values-with-a-specified-value"], [19, "replace-missing-values-with-a-specified-value"]], "Replacing values": [[2201, "replacing-values"]], "Representing out-of-bounds spans": [[2210, "representing-out-of-bounds-spans"]], "Required dependencies": [[22, "required-dependencies"]], "Requirements": [[4, "requirements"]], "Resample": [[2240, "resample"]], "Resample API": [[2230, "resample-api"]], "Resample a time series to another frequency": [[31, "resample-a-time-series-to-another-frequency"]], "Resampling": [[2179, null], [2209, "resampling"], [2210, "resampling"]], "Reset the index": [[2197, "reset-the-index"]], "Reshaping": [[2184, "reshaping"], [2235, "reshaping"], [2236, "reshaping"], [2237, "reshaping"], [2238, "reshaping"], [2239, "reshaping"], [2241, "reshaping"], [2246, "reshaping"], [2249, "reshaping"], [2250, "reshaping"], [2265, "reshaping"], [2271, "reshaping"], [2277, "reshaping"], [2283, "reshaping"], [2289, "reshaping"], [2294, "reshaping"], [2298, "reshaping"], [2302, "reshaping"], [2307, "reshaping"]], "Reshaping and pivot tables": [[2204, null]], "Reshaping, sorting": [[2180, "reshaping-sorting"]], "Reshaping, sorting, transposing": [[2169, "reshaping-sorting-transposing"]], "Restore Matplotlib datetime converter registration": [[2239, "restore-matplotlib-datetime-converter-registration"]], "Result dtype inference changes for resample operations": [[2265, "result-dtype-inference-changes-for-resample-operations"]], "Resulting keys": [[2200, "resulting-keys"]], "Returning a Series to propagate names": [[2195, "returning-a-series-to-propagate-names"]], "Returning a view versus a copy": [[2197, "returning-a-view-versus-a-copy"]], "Reviewing pull requests": [[13, "reviewing-pull-requests"]], "Roles": [[13, "roles"]], "Rolling and expanding": [[2240, "rolling-and-expanding"]], "Rolling apply": [[2212, "rolling-apply"]], "Rolling window": [[2212, "rolling-window"]], "Rolling window endpoints": [[2212, "rolling-window-endpoints"]], "Rolling window functions": [[2183, "rolling-window-functions"]], "Rolling/Expanding.apply() accepts raw=False to pass a Series to the function": [[2241, "rolling-expanding-apply-accepts-raw-false-to-pass-a-series-to-the-function"]], "Rolling/expanding moments improvements": [[2222, "rolling-expanding-moments-improvements"]], "Row or column-wise function application": [[2186, "row-or-column-wise-function-application"]], "Running the performance test suite": [[2, "running-the-performance-test-suite"]], "Running the test suite": [[2, "running-the-test-suite"], [22, "running-the-test-suite"]], "S3 file handling": [[2235, "s3-file-handling"]], "SAS": [[2174, "sas"]], "SAS formats": [[2199, "sas-formats"]], "SELECT": [[18, "select"]], "SPSS": [[2174, "spss"]], "SPSS formats": [[2199, "spss-formats"]], "SQL": [[2174, "sql"], [2220, "sql"]], "SQL data types": [[2199, "sql-data-types"]], "SQL databases": [[22, "sql-databases"]], "SQL queries": [[2199, "sql-queries"]], "STATA": [[2174, "stata"]], "Sample": [[2226, "sample"]], "Scalar NA Value": [[2198, "scalar-na-value"]], "Scalar introspection": [[2167, "scalar-introspection"]], "Scales": [[2211, "scales"]], "Scaling to large datasets": [[2205, null]], "Scatter matrix plot": [[2211, "scatter-matrix-plot"]], "Scatter plot": [[2211, "scatter-plot"]], "Schema support": [[2199, "schema-support"]], "SciPy sparse matrix from/to SparseDataFrame": [[2235, "scipy-sparse-matrix-from-to-sparsedataframe"]], "Second": [[2176, "second"]], "Section 1: short summary": [[3, "section-1-short-summary"]], "Section 2: extended summary": [[3, "section-2-extended-summary"]], "Section 3: parameters": [[3, "section-3-parameters"]], "Section 4: returns or yields": [[3, "section-4-returns-or-yields"]], "Section 5: see also": [[3, "section-5-see-also"]], "Section 6: notes": [[3, "section-6-notes"]], "Section 7: examples": [[3, "section-7-examples"]], "Security policy": [[14, "security-policy"]], "Select a single column": [[2199, "select-a-single-column"]], "Selecting": [[2173, "selecting"], [2173, "id2"]], "Selecting a group": [[2195, "selecting-a-group"]], "Selecting columns based on dtype": [[2186, "selecting-columns-based-on-dtype"]], "Selecting coordinates": [[2199, "selecting-coordinates"]], "Selecting random samples": [[2197, "selecting-random-samples"]], "Selecting using a where mask": [[2199, "selecting-using-a-where-mask"]], "Selection": [[2184, "selection"]], "Selection by callable": [[2197, "selection-by-callable"]], "Selection by label": [[2184, "selection-by-label"], [2197, "selection-by-label"]], "Selection by position": [[2184, "selection-by-position"], [2197, "selection-by-position"]], "Selection choices": [[2216, "selection-choices"]], "Selection deprecations": [[2216, "selection-deprecations"]], "Selection of columns": [[16, "selection-of-columns"], [17, "selection-of-columns"], [19, "selection-of-columns"]], "Semi-month offsets": [[2232, "semi-month-offsets"]], "SemiMonthBegin": [[2176, "semimonthbegin"]], "SemiMonthEnd": [[2176, "semimonthend"]], "Serialization / IO / conversion": [[2169, "serialization-io-conversion"], [2180, "serialization-io-conversion"]], "Serializing tz-naive Timestamps with to_json() with iso_dates=True": [[2294, "serializing-tz-naive-timestamps-with-to-json-with-iso-dates-true"]], "Series": [[16, "series"], [17, "series"], [19, "series"], [2180, null], [2191, "series"]], "Series and Index data-dtype incompatibilities": [[2246, "series-and-index-data-dtype-incompatibilities"]], "Series creation": [[2188, "series-creation"]], "Series is dict-like": [[2191, "series-is-dict-like"]], "Series is ndarray-like": [[2191, "series-is-ndarray-like"]], "Series operators for different indexes": [[2232, "series-operators-for-different-indexes"]], "Series type promotion on assignment": [[2232, "series-type-promotion-on-assignment"]], "Series.argmax and Series.argmin": [[2238, "series-argmax-and-series-argmin"]], "Series.dt accessor": [[2222, "series-dt-accessor"]], "Series.dt.strftime": [[2228, "series-dt-strftime"]], "Series.dt.total_seconds": [[2228, "series-dt-total-seconds"]], "Series.explode to split list-like values to rows": [[2249, "series-explode-to-split-list-like-values-to-rows"]], "Series.list accessor for PyArrow list data": [[2307, "series-list-accessor-for-pyarrow-list-data"]], "Series.select and DataFrame.select": [[2238, "series-select-and-dataframe-select"]], "Series.str.cat has gained the join kwarg": [[2241, "series-str-cat-has-gained-the-join-kwarg"]], "Series.struct accessor for PyArrow structured data": [[2307, "series-struct-accessor-for-pyarrow-structured-data"]], "Series.tolist() will now return Python types": [[2232, "series-tolist-will-now-return-python-types"]], "Series.unique for timezone-aware data": [[2246, "series-unique-for-timezone-aware-data"]], "SeriesGroupBy computations / descriptive stats": [[2171, "seriesgroupby-computations-descriptive-stats"]], "Set / reset index": [[2197, "set-reset-index"]], "Set an index": [[2197, "set-an-index"]], "Set operations on Index objects": [[2197, "set-operations-on-index-objects"]], "Set properties": [[2207, "Set-properties"]], "Setting": [[2184, "setting"], [2188, "setting"]], "Setting Classes and Linking to External CSS": [[2207, "Setting-Classes-and-Linking-to-External-CSS"]], "Setting categories": [[2188, "setting-categories"]], "Setting metadata": [[2197, "setting-metadata"]], "Setting startup options in Python/IPython environment": [[2202, "setting-startup-options-in-python-ipython-environment"]], "Setting the plot style": [[2211, "setting-the-plot-style"]], "Setting with enlargement": [[2197, "setting-with-enlargement"]], "Setting with enlargement conditionally using numpy()": [[2197, "setting-with-enlargement-conditionally-using-numpy"]], "Sharing docstrings": [[3, "sharing-docstrings"]], "Sharing styles": [[2207, "Sharing-styles"]], "Shifting / lagging": [[2210, "shifting-lagging"]], "Shorter truncated repr for Series and DataFrame": [[2249, "shorter-truncated-repr-for-series-and-dataframe"]], "Side effects": [[2188, "side-effects"]], "Signature change for .rank": [[2230, "signature-change-for-rank"]], "Slice vs. exact match": [[2210, "slice-vs-exact-match"]], "Slicing ranges": [[2197, "slicing-ranges"]], "Slicing with R\u2019s c": [[15, "slicing-with-r-s-c"]], "Slicing with labels": [[2197, "slicing-with-labels"]], "Sort table rows": [[29, "sort-table-rows"]], "Sorting": [[15, "sorting"], [2173, "sorting"], [2186, "sorting"]], "Sorting a MultiIndex": [[2185, "sorting-a-multiindex"]], "Sorting and order": [[2188, "sorting-and-order"]], "Sorting by a MultiIndex column": [[2186, "sorting-by-a-multiindex-column"]], "Sorting by a combination of columns and index levels": [[2241, "sorting-by-a-combination-of-columns-and-index-levels"]], "Sorting by values": [[16, "sorting-by-values"], [17, "sorting-by-values"], [19, "sorting-by-values"]], "Sorting with keys": [[2271, "sorting-with-keys"]], "Sparse": [[2167, "sparse"], [2235, "sparse"], [2236, "sparse"], [2238, "sparse"], [2241, "sparse"], [2246, "sparse"], [2249, "sparse"], [2250, "sparse"], [2265, "sparse"], [2271, "sparse"], [2283, "sparse"], [2289, "sparse"], [2294, "sparse"], [2298, "sparse"], [2302, "sparse"], [2307, "sparse"]], "Sparse accessor": [[2169, "sparse-accessor"], [2180, "sparse-accessor"], [2206, "sparse-accessor"]], "Sparse calculation": [[2206, "sparse-calculation"]], "Sparse changes": [[2231, "sparse-changes"], [2232, "sparse-changes"]], "Sparse data structure refactor": [[2246, "sparse-data-structure-refactor"]], "Sparse data structures": [[2206, null]], "Sparse resampling": [[2210, "sparse-resampling"]], "Sparse subclasses": [[2249, "sparse-subclasses"]], "SparseArray": [[2206, "sparsearray"]], "SparseDtype": [[2206, "sparsedtype"]], "Special use of the == operator with list objects": [[2197, "special-use-of-the-operator-with-list-objects"]], "Specifying categorical dtype": [[2199, "specifying-categorical-dtype"]], "Specifying column data types": [[2199, "specifying-column-data-types"]], "Specifying date columns": [[2199, "specifying-date-columns"]], "Specifying method for floating-point conversion": [[2199, "specifying-method-for-floating-point-conversion"]], "Specifying sheets": [[2199, "specifying-sheets"]], "Specifying the parser engine": [[2199, "specifying-the-parser-engine"]], "Splitting an object into groups": [[2195, "splitting-an-object-into-groups"]], "Splitting and replacing strings": [[2208, "splitting-and-replacing-strings"]], "Sqlite fallback": [[2199, "sqlite-fallback"]], "Stack": [[2184, "stack"]], "Starting Gitpod": [[6, "starting-gitpod"]], "Stata format": [[2199, "stata-format"]], "Stats": [[2184, "stats"]], "Step 1: install a C compiler": [[5, "step-1-install-a-c-compiler"]], "Step 2: create an isolated environment": [[5, "step-2-create-an-isolated-environment"]], "Step 3: build and install pandas": [[5, "step-3-build-and-install-pandas"]], "Sticky Headers": [[2207, "Sticky-Headers"]], "Storer object": [[2199, "storer-object"]], "Storing Interval and Period data in Series and DataFrame": [[2246, "storing-interval-and-period-data-in-series-and-dataframe"]], "Storing MultiIndex DataFrames": [[2199, "storing-multiindex-dataframes"]], "Storing mixed types in a table": [[2199, "storing-mixed-types-in-a-table"]], "Storing pandas DataFrame objects in Apache Parquet format": [[9, "storing-pandas-dataframe-objects-in-apache-parquet-format"]], "Storing types": [[2199, "storing-types"]], "String": [[2239, "string"]], "String Methods": [[2184, "string-methods"]], "String and datetime accessors": [[2188, "string-and-datetime-accessors"]], "String columns": [[2199, "string-columns"]], "String handling": [[2180, "string-handling"]], "String methods": [[2208, "string-methods"]], "String methods enhancements": [[2225, "string-methods-enhancements"], [2226, "string-methods-enhancements"]], "String processing": [[16, "string-processing"], [17, "string-processing"], [19, "string-processing"]], "Strings": [[2167, "strings"], [2241, "strings"], [2246, "strings"], [2249, "strings"], [2265, "strings"], [2271, "strings"], [2277, "strings"], [2283, "strings"], [2289, "strings"], [2294, "strings"], [2298, "strings"], [2302, "strings"], [2307, "strings"]], "Struct accessor": [[2180, "struct-accessor"]], "Style": [[2181, null], [2246, "style"]], "Style and formatting": [[2199, "style-and-formatting"]], "Style application": [[2181, "style-application"]], "Style export and import": [[2181, "style-export-and-import"]], "Style guidelines": [[2, "style-guidelines"]], "Styler": [[2277, "styler"], [2283, "styler"], [2289, "styler"], [2289, "id2"], [2294, "styler"], [2294, "id1"], [2298, "styler"], [2302, "styler"]], "Styler Functions": [[2207, "Styler-Functions"]], "Styler Object and Customising the Display": [[2207, "Styler-Object-and-Customising-the-Display"]], "Styler Object and HTML": [[2207, "Styler-Object-and-HTML"]], "Styler constructor": [[2181, "styler-constructor"]], "Styler enhancements": [[2283, "styler-enhancements"]], "Styler properties": [[2181, "styler-properties"]], "Subclassing": [[2207, "Subclassing"]], "Subclassing pandas data structures": [[10, "subclassing-pandas-data-structures"], [12, "subclassing-pandas-data-structures"]], "Submitting a pull request": [[1, "submitting-a-pull-request"]], "Subplots": [[2211, "subplots"]], "Sum/prod of all-NaN or empty Series/DataFrames is now consistently NaN": [[2238, "sum-prod-of-all-nan-or-empty-series-dataframes-is-now-consistently-nan"]], "Summarizing data: describe": [[2186, "summarizing-data-describe"]], "Support for SAS XPORT files": [[2228, "support-for-sas-xport-files"]], "Support for binary file handles in to_csv": [[2277, "support-for-binary-file-handles-in-to-csv"]], "Support for integer NA": [[2194, "support-for-integer-na"]], "Support for math functions in .eval()": [[2228, "support-for-math-functions-in-eval"]], "Support for non-unique indexes": [[2261, "support-for-non-unique-indexes"]], "Support for short caption and table position in to_latex": [[2277, "support-for-short-caption-and-table-position-in-to-latex"]], "Supported syntax": [[2193, "supported-syntax"]], "Suppressing tick resolution adjustment": [[2211, "suppressing-tick-resolution-adjustment"]], "Swapping levels with swaplevel": [[2185, "swapping-levels-with-swaplevel"]], "Table Attributes": [[2207, "Table-Attributes"]], "Table Styles": [[2207, "Table-Styles"]], "Table Visualization": [[2207, null]], "Table format": [[2199, "table-format"]], "Table of Contents:": [[2, "table-of-contents"]], "Table of contents:": [[1, "table-of-contents"]], "Table schema": [[2199, "table-schema"]], "Table schema display": [[2202, "table-schema-display"]], "Table schema output": [[2235, "table-schema-output"]], "Tablewise function application": [[2186, "tablewise-function-application"]], "Take methods": [[2185, "take-methods"]], "Taking the first rows of each group": [[2195, "taking-the-first-rows-of-each-group"]], "Taking the nth row of each group": [[2195, "taking-the-nth-row-of-each-group"]], "Tasks": [[13, "tasks"]], "Template Structure": [[2207, "Template-Structure"]], "Test structure": [[2, "test-structure"]], "Test suite runner": [[2182, "test-suite-runner"]], "Test-driven development": [[2, "test-driven-development"]], "Testing": [[2182, null]], "Testing a warning": [[2, "testing-a-warning"]], "Testing an exception": [[2, "testing-an-exception"]], "Testing extension arrays": [[10, "testing-extension-arrays"]], "Testing for strings that match or contain a pattern": [[2208, "testing-for-strings-that-match-or-contain-a-pattern"]], "Testing involving files": [[2, "testing-involving-files"]], "Testing involving network connectivity": [[2, "testing-involving-network-connectivity"]], "Testing type hints in code using pandas": [[2, "testing-type-hints-in-code-using-pandas"]], "Testing with continuous integration": [[2, "testing-with-continuous-integration"]], "Text data types": [[2208, "text-data-types"]], "Text parsing API changes": [[2220, "text-parsing-api-changes"]], "The .str-accessor performs stricter type checks": [[2249, "the-str-accessor-performs-stricter-type-checks"]], "The DataFrame.eval() method": [[2193, "the-dataframe-eval-method"]], "The PeriodIndex now has period dtype": [[2232, "the-periodindex-now-has-period-dtype"]], "The aggregate() method": [[2195, "the-aggregate-method"]], "The developer mailing list": [[0, "the-developer-mailing-list"]], "The filter method": [[2195, "the-filter-method"]], "The in and not in operators": [[2197, "the-in-and-not-in-operators"]], "The query() Method": [[2197, "the-query-method"]], "The transform() method": [[2195, "the-transform-method"]], "The where() Method and Masking": [[2197, "the-where-method-and-masking"]], "Thousand separators": [[2199, "thousand-separators"]], "Thread-safety": [[2194, "thread-safety"]], "Tick": [[2176, "tick"]], "Tick DateOffset normalize restrictions": [[2246, "tick-dateoffset-normalize-restrictions"]], "Time Series changes and improvements": [[2261, "time-series-changes-and-improvements"]], "Time Series-related": [[2169, "time-series-related"], [2180, "time-series-related"]], "Time Series-related instance methods": [[2210, "time-series-related-instance-methods"]], "Time Zones": [[2289, "time-zones"], [2294, "time-zones"]], "Time deltas": [[2209, null]], "Time series": [[2184, "time-series"]], "Time series / date functionality": [[2210, null]], "Time span representation": [[2210, "time-span-representation"]], "Time values in dt.end_time and to_timestamp(how='end')": [[2246, "time-values-in-dt-end-time-and-to-timestamp-how-end"]], "Time zone Series operations": [[2210, "time-zone-series-operations"]], "Time zone handling": [[2210, "time-zone-handling"]], "Time-specific operations": [[2173, "time-specific-operations"], [2173, "id3"]], "Time/date components": [[2173, "time-date-components"], [2210, "time-date-components"]], "Timedelta": [[2241, "timedelta"], [2246, "timedelta"], [2249, "timedelta"], [2265, "timedelta"], [2271, "timedelta"], [2277, "timedelta"], [2283, "timedelta"], [2289, "timedelta"], [2294, "timedelta"], [2298, "timedelta"], [2302, "timedelta"], [2307, "timedelta"]], "Timedelta limitations": [[2209, "timedelta-limitations"]], "Timedelta methods": [[2180, "timedelta-methods"]], "Timedelta mod method": [[2241, "timedelta-mod-method"]], "Timedelta properties": [[2180, "timedelta-properties"]], "TimedeltaIndex": [[2173, "timedeltaindex"], [2209, "timedeltaindex"]], "TimedeltaIndex/scalar": [[2222, "timedeltaindex-scalar"]], "Timedeltas": [[2167, "timedeltas"]], "Timestamp limitations": [[2210, "timestamp-limitations"]], "Timestamps vs. time spans": [[2210, "timestamps-vs-time-spans"]], "Timezone handling improvements": [[2222, "timezone-handling-improvements"]], "Timezones": [[2241, "timezones"], [2246, "timezones"], [2249, "timezones"], [2250, "timezones"], [2265, "timezones"], [2271, "timezones"], [2277, "timezones"], [2283, "timezones"], [2298, "timezones"], [2302, "timezones"], [2307, "timezones"]], "Tips for a successful pull request": [[1, "tips-for-a-successful-pull-request"]], "Tips for getting your examples pass the doctests": [[3, "tips-for-getting-your-examples-pass-the-doctests"]], "Tooltips and Captions": [[2207, "Tooltips-and-Captions"]], "Top n rows per group": [[18, "top-n-rows-per-group"]], "Top n rows with offset": [[18, "top-n-rows-with-offset"]], "Top-level dealing with Interval data": [[2170, "top-level-dealing-with-interval-data"]], "Top-level dealing with datetimelike data": [[2170, "top-level-dealing-with-datetimelike-data"]], "Top-level dealing with numeric data": [[2170, "top-level-dealing-with-numeric-data"]], "Top-level evaluation": [[2170, "top-level-evaluation"]], "Top-level missing data": [[2170, "top-level-missing-data"]], "Transform API": [[2186, "transform-api"]], "Transform with multiple functions": [[2186, "transform-with-multiple-functions"]], "Transformation": [[16, "transformation"], [19, "transformation"], [2195, "transformation"]], "Transforming": [[15, "transforming"]], "Transforming with a dict": [[2186, "transforming-with-a-dict"]], "Transposing": [[2191, "transposing"]], "Truncating & fancy indexing": [[2210, "truncating-fancy-indexing"]], "Try operating inplace when setting values with loc and iloc": [[2283, "try-operating-inplace-when-setting-values-with-loc-and-iloc"]], "Tutorials": [[21, "tutorials"]], "Type hints": [[2, "type-hints"]], "Types int64 and bool support enhancements": [[2232, "types-int64-and-bool-support-enhancements"]], "UInt64 support improved": [[2235, "uint64-support-improved"]], "UNION": [[18, "union"]], "UPDATE": [[18, "update"]], "UTC and fixed-offset timezones default to standard-library tzinfo objects": [[2298, "utc-and-fixed-offset-timezones-default-to-standard-library-tzinfo-objects"]], "UTC localization with Series": [[2238, "utc-localization-with-series"]], "Unicode formatting": [[2202, "unicode-formatting"]], "Unioning": [[2188, "unioning"]], "Upcoming changes in pandas 3.0": [[2307, "upcoming-changes-in-pandas-3-0"]], "Updated PyTables support": [[2214, "updated-pytables-support"]], "Updating a pandas docstring": [[4, "updating-a-pandas-docstring"]], "Updating the development environment": [[1, "updating-the-development-environment"]], "Updating your pull request": [[1, "updating-your-pull-request"]], "Upsampling": [[2179, "upsampling"], [2210, "upsampling"], [2230, "upsampling"]], "Use Other Libraries": [[2205, "use-other-libraries"]], "Use chunking": [[2205, "use-chunking"]], "Use efficient datatypes": [[2205, "use-efficient-datatypes"]], "Use origin or offset to adjust the start of the bins": [[2210, "use-origin-or-offset-to-adjust-the-start-of-the-bins"]], "User Guide": [[2196, null]], "User defined functions": [[2184, "user-defined-functions"]], "Using .apply on GroupBy resampling": [[2231, "using-apply-on-groupby-resampling"]], "Using Docker": [[8, "using-docker"]], "Using Gitpod for pandas development": [[6, null]], "Using Numba in rolling.apply and expanding.apply": [[2265, "using-numba-in-rolling-apply-and-expanding-apply"]], "Using dropna=True with groupby transforms": [[2294, "using-dropna-true-with-groupby-transforms"]], "Using group_keys with transformers in DataFrameGroupBy.apply() and SeriesGroupBy.apply()": [[2294, "using-group-keys-with-transformers-in-dataframegroupby-apply-and-seriesgroupby-apply"]], "Using hypothesis": [[2, "using-hypothesis"]], "Using if/truth statements with pandas": [[2194, "using-if-truth-statements-with-pandas"]], "Using layout and targeting multiple axes": [[2211, "using-layout-and-targeting-multiple-axes"]], "Using ndarray": [[2193, "using-ndarray"]], "Using offsets with Series / DatetimeIndex": [[2210, "using-offsets-with-series-datetimeindex"]], "Using pandas datetime properties": [[31, "using-pandas-datetime-properties"]], "Using pytest": [[2, "using-pytest"]], "Using slicers": [[2185, "using-slicers"]], "Using the TimedeltaIndex": [[2209, "using-the-timedeltaindex"]], "Using the in operator": [[2194, "using-the-in-operator"]], "Using the origin parameter": [[2210, "using-the-origin-parameter"]], "Utilities": [[2167, "utilities"]], "Validating type hints": [[2, "validating-type-hints"]], "Value Counts": [[2184, "value-counts"]], "Value counts (histogramming) / mode": [[2186, "value-counts-histogramming-mode"]], "Value counts sets the resulting name to count": [[2298, "value-counts-sets-the-resulting-name-to-count"]], "Values": [[12, "values"]], "Values considered \u201cmissing\u201d": [[2201, "values-considered-missing"]], "Various enhancements": [[2238, "various-enhancements"]], "Various tutorials": [[35, "various-tutorials"]], "Vectorized operations and label alignment with Series": [[2191, "vectorized-operations-and-label-alignment-with-series"]], "Vectorized string methods": [[2186, "vectorized-string-methods"]], "Version 0.10": [[2213, "version-0-10"]], "Version 0.10.0 (December 17, 2012)": [[2214, null]], "Version 0.10.1 (January 22, 2013)": [[2215, null]], "Version 0.11": [[2213, "version-0-11"]], "Version 0.11.0 (April 22, 2013)": [[2216, null]], "Version 0.12": [[2213, "version-0-12"]], "Version 0.12.0 (July 24, 2013)": [[2217, null]], "Version 0.13": [[2213, "version-0-13"]], "Version 0.13.0 (January 3, 2014)": [[2218, null]], "Version 0.13.1 (February 3, 2014)": [[2219, null]], "Version 0.14": [[2213, "version-0-14"]], "Version 0.14.0 (May 31 , 2014)": [[2220, null]], "Version 0.14.1 (July 11, 2014)": [[2221, null]], "Version 0.15": [[2213, "version-0-15"]], "Version 0.15.0 (October 18, 2014)": [[2222, null]], "Version 0.15.1 (November 9, 2014)": [[2223, null]], "Version 0.15.2 (December 12, 2014)": [[2224, null]], "Version 0.16": [[2213, "version-0-16"]], "Version 0.16.0 (March 22, 2015)": [[2225, null]], "Version 0.16.1 (May 11, 2015)": [[2226, null]], "Version 0.16.2 (June 12, 2015)": [[2227, null]], "Version 0.17": [[2213, "version-0-17"]], "Version 0.17.0 (October 9, 2015)": [[2228, null]], "Version 0.17.1 (November 21, 2015)": [[2229, null]], "Version 0.18": [[2213, "version-0-18"]], "Version 0.18.0 (March 13, 2016)": [[2230, null]], "Version 0.18.1 (May 3, 2016)": [[2231, null]], "Version 0.19": [[2213, "version-0-19"]], "Version 0.19.0 (October 2, 2016)": [[2232, null]], "Version 0.19.1 (November 3, 2016)": [[2233, null]], "Version 0.19.2 (December 24, 2016)": [[2234, null]], "Version 0.20": [[2213, "version-0-20"]], "Version 0.20.1 (May 5, 2017)": [[2235, null]], "Version 0.20.2 (June 4, 2017)": [[2236, null]], "Version 0.20.3 (July 7, 2017)": [[2237, null]], "Version 0.21": [[2213, "version-0-21"]], "Version 0.21.0 (October 27, 2017)": [[2238, null]], "Version 0.21.1 (December 12, 2017)": [[2239, null]], "Version 0.22": [[2213, "version-0-22"]], "Version 0.22.0 (December 29, 2017)": [[2240, null]], "Version 0.23": [[2213, "version-0-23"]], "Version 0.24": [[2213, "version-0-24"]], "Version 0.25": [[2213, "version-0-25"]], "Version 0.4": [[2213, "version-0-4"]], "Version 0.5": [[2213, "version-0-5"]], "Version 0.5.0 (October 24, 2011)": [[2254, null]], "Version 0.6": [[2213, "version-0-6"]], "Version 0.6.0 (November 25, 2011)": [[2255, null]], "Version 0.6.1 (December 13, 2011)": [[2256, null]], "Version 0.7": [[2213, "version-0-7"]], "Version 0.7.0 (February 9, 2012)": [[2257, null]], "Version 0.7.1 (February 29, 2012)": [[2258, null]], "Version 0.7.2 (March 16, 2012)": [[2259, null]], "Version 0.7.3 (April 12, 2012)": [[2260, null]], "Version 0.8": [[2213, "version-0-8"]], "Version 0.8.0 (June 29, 2012)": [[2261, null]], "Version 0.8.1 (July 22, 2012)": [[2262, null]], "Version 0.9": [[2213, "version-0-9"]], "Version 0.9.0 (October 7, 2012)": [[2263, null]], "Version 0.9.1 (November 14, 2012)": [[2264, null]], "Version 1.0": [[2213, "version-1-0"]], "Version 1.1": [[2213, "version-1-1"]], "Version 1.2": [[2213, "version-1-2"]], "Version 1.3": [[2213, "version-1-3"]], "Version 1.4": [[2213, "version-1-4"]], "Version 1.5": [[2213, "version-1-5"]], "Version 2.0": [[2213, "version-2-0"]], "Version 2.1": [[2213, "version-2-1"]], "Version 2.2": [[2213, "version-2-2"]], "Version control, Git, and GitHub": [[1, "version-control-git-and-github"]], "Version policy": [[14, "version-policy"]], "Versions 0.4.1 through 0.4.3 (September 25 - October 9, 2011)": [[2253, null]], "Video tutorials": [[35, "video-tutorials"]], "Viewing data": [[2184, "viewing-data"]], "Visualization": [[22, "visualization"]], "WHERE": [[18, "where"]], "Week": [[2176, "week"]], "WeekOfMonth": [[2176, "weekofmonth"]], "Weighted window": [[2212, "weighted-window"]], "Weighted window functions": [[2183, "weighted-window-functions"]], "What kind of data does pandas handle?": [[23, null]], "What\u2019s new in 0.23.0 (May 15, 2018)": [[2241, null]], "What\u2019s new in 0.23.1 (June 12, 2018)": [[2242, null]], "What\u2019s new in 0.23.2 (July 5, 2018)": [[2243, null]], "What\u2019s new in 0.23.3 (July 7, 2018)": [[2244, null]], "What\u2019s new in 0.23.4 (August 3, 2018)": [[2245, null]], "What\u2019s new in 0.24.0 (January 25, 2019)": [[2246, null]], "What\u2019s new in 0.24.1 (February 3, 2019)": [[2247, null]], "What\u2019s new in 0.24.2 (March 12, 2019)": [[2248, null]], "What\u2019s new in 0.25.0 (July 18, 2019)": [[2249, null]], "What\u2019s new in 0.25.1 (August 21, 2019)": [[2250, null]], "What\u2019s new in 0.25.2 (October 15, 2019)": [[2251, null]], "What\u2019s new in 0.25.3 (October 31, 2019)": [[2252, null]], "What\u2019s new in 1.0.0 (January 29, 2020)": [[2265, null]], "What\u2019s new in 1.0.1 (February 5, 2020)": [[2266, null]], "What\u2019s new in 1.0.2 (March 12, 2020)": [[2267, null]], "What\u2019s new in 1.0.3 (March 17, 2020)": [[2268, null]], "What\u2019s new in 1.0.4 (May 28, 2020)": [[2269, null]], "What\u2019s new in 1.0.5 (June 17, 2020)": [[2270, null]], "What\u2019s new in 1.1.0 (July 28, 2020)": [[2271, null]], "What\u2019s new in 1.1.1 (August 20, 2020)": [[2272, null]], "What\u2019s new in 1.1.2 (September 8, 2020)": [[2273, null]], "What\u2019s new in 1.1.3 (October 5, 2020)": [[2274, null]], "What\u2019s new in 1.1.4 (October 30, 2020)": [[2275, null]], "What\u2019s new in 1.1.5 (December 07, 2020)": [[2276, null]], "What\u2019s new in 1.2.0 (December 26, 2020)": [[2277, null]], "What\u2019s new in 1.2.1 (January 20, 2021)": [[2278, null]], "What\u2019s new in 1.2.2 (February 09, 2021)": [[2279, null]], "What\u2019s new in 1.2.3 (March 02, 2021)": [[2280, null]], "What\u2019s new in 1.2.4 (April 12, 2021)": [[2281, null]], "What\u2019s new in 1.2.5 (June 22, 2021)": [[2282, null]], "What\u2019s new in 1.3.0 (July 2, 2021)": [[2283, null]], "What\u2019s new in 1.3.1 (July 25, 2021)": [[2284, null]], "What\u2019s new in 1.3.2 (August 15, 2021)": [[2285, null]], "What\u2019s new in 1.3.3 (September 12, 2021)": [[2286, null]], "What\u2019s new in 1.3.4 (October 17, 2021)": [[2287, null]], "What\u2019s new in 1.3.5 (December 12, 2021)": [[2288, null]], "What\u2019s new in 1.4.0 (January 22, 2022)": [[2289, null]], "What\u2019s new in 1.4.1 (February 12, 2022)": [[2290, null]], "What\u2019s new in 1.4.2 (April 2, 2022)": [[2291, null]], "What\u2019s new in 1.4.3 (June 23, 2022)": [[2292, null]], "What\u2019s new in 1.4.4 (August 31, 2022)": [[2293, null]], "What\u2019s new in 1.5.0 (September 19, 2022)": [[2294, null]], "What\u2019s new in 1.5.1 (October 19, 2022)": [[2295, null]], "What\u2019s new in 1.5.2 (November 21, 2022)": [[2296, null]], "What\u2019s new in 1.5.3 (January 18, 2023)": [[2297, null]], "What\u2019s new in 2.0.0 (April 3, 2023)": [[2298, null]], "What\u2019s new in 2.0.1 (April 24, 2023)": [[2299, null]], "What\u2019s new in 2.0.2 (May 29, 2023)": [[2300, null]], "What\u2019s new in 2.0.3 (June 28, 2023)": [[2301, null]], "What\u2019s new in 2.1.0 (Aug 30, 2023)": [[2302, null]], "What\u2019s new in 2.1.1 (September 20, 2023)": [[2303, null]], "What\u2019s new in 2.1.2 (October 26, 2023)": [[2304, null]], "What\u2019s new in 2.1.3 (November 10, 2023)": [[2305, null]], "What\u2019s new in 2.1.4 (December 8, 2023)": [[2306, null]], "What\u2019s new in 2.2.0 (January 19, 2024)": [[2307, null]], "What\u2019s new in 2.2.1 (February 22, 2024)": [[2308, null]], "What\u2019s new in 2.2.2 (April 10, 2024)": [[2309, null]], "What\u2019s new in 2.2.3 (September 20, 2024)": [[2310, null]], "What\u2019s new in v0.16.0": [[2225, "what-s-new-in-v0-16-0"]], "What\u2019s new in v0.16.1": [[2226, "what-s-new-in-v0-16-1"]], "What\u2019s new in v0.16.2": [[2227, "what-s-new-in-v0-16-2"]], "What\u2019s new in v0.17.0": [[2228, "what-s-new-in-v0-17-0"]], "What\u2019s new in v0.17.1": [[2229, "what-s-new-in-v0-17-1"]], "What\u2019s new in v0.18.0": [[2230, "what-s-new-in-v0-18-0"]], "What\u2019s new in v0.18.1": [[2231, "what-s-new-in-v0-18-1"]], "What\u2019s new in v0.19.0": [[2232, "what-s-new-in-v0-19-0"]], "What\u2019s new in v0.19.1": [[2233, "what-s-new-in-v0-19-1"]], "What\u2019s new in v0.19.2": [[2234, "what-s-new-in-v0-19-2"]], "What\u2019s new in v0.20.0": [[2235, "what-s-new-in-v0-20-0"]], "What\u2019s new in v0.20.2": [[2236, "what-s-new-in-v0-20-2"]], "What\u2019s new in v0.20.3": [[2237, "what-s-new-in-v0-20-3"]], "What\u2019s new in v0.21.0": [[2238, "what-s-new-in-v0-21-0"]], "What\u2019s new in v0.21.1": [[2239, "what-s-new-in-v0-21-1"]], "What\u2019s new in v0.23.0": [[2241, "what-s-new-in-v0-23-0"]], "What\u2019s new in v0.23.1": [[2242, "what-s-new-in-v0-23-1"]], "What\u2019s new in v0.23.2": [[2243, "what-s-new-in-v0-23-2"]], "What\u2019s new in v0.23.4": [[2245, "what-s-new-in-v0-23-4"]], "Why does assignment fail when using chained indexing?": [[2197, "why-does-assignment-fail-when-using-chained-indexing"]], "Why more than one data structure?": [[34, "why-more-than-one-data-structure"]], "Why not make NumPy like R?": [[2194, "why-not-make-numpy-like-r"]], "Wide DataFrame printing": [[2214, "wide-dataframe-printing"]], "Wide to long format": [[29, "wide-to-long-format"]], "Widgets": [[2207, "Widgets"]], "Window": [[2183, null]], "Window and resample operations": [[2195, "window-and-resample-operations"]], "Window binary corr/cov operations return a MultiIndex DataFrame": [[2235, "window-binary-corr-cov-operations-return-a-multiindex-dataframe"]], "Window functions are now methods": [[2230, "window-functions-are-now-methods"]], "Window indexer": [[2183, "window-indexer"]], "Windowing operations": [[2212, null]], "Working with categories": [[2188, "working-with-categories"]], "Working with missing data": [[2201, null]], "Working with options": [[2177, "working-with-options"]], "Working with text data": [[2208, null]], "Working with time zones": [[2210, "working-with-time-zones"]], "Writing CSVs to binary file objects": [[2199, "writing-csvs-to-binary-file-objects"]], "Writing DataFrames": [[2199, "writing-dataframes"]], "Writing Excel files": [[2199, "writing-excel-files"]], "Writing Excel files to disk": [[2199, "writing-excel-files-to-disk"]], "Writing Excel files to memory": [[2199, "writing-excel-files-to-memory"]], "Writing JSON": [[2199, "writing-json"]], "Writing XML": [[2199, "writing-xml"]], "Writing a docstring": [[3, "writing-a-docstring"]], "Writing a formatted string": [[2199, "writing-a-formatted-string"]], "Writing out data": [[2199, "writing-out-data"]], "Writing tests": [[2, "writing-tests"]], "Writing to CSV format": [[2199, "writing-to-csv-format"]], "Writing to HTML files": [[2199, "writing-to-html-files"]], "Writing to LaTeX files": [[2199, "writing-to-latex-files"]], "Writing to ORC files": [[2294, "writing-to-orc-files"]], "Writing to stata format": [[2199, "writing-to-stata-format"]], "XML": [[22, "xml"], [2174, "xml"], [2199, "xml"]], "XML Final Notes": [[2199, "xml-final-notes"]], "YearBegin": [[2176, "yearbegin"]], "YearEnd": [[2176, "yearend"]], "__str__ methods now call __repr__ rather than vice versa": [[2249, "str-methods-now-call-repr-rather-than-vice-versa"]], "aggregate": [[15, "aggregate"]], "apply and applymap on DataFrame evaluates first row/column only once": [[2271, "apply-and-applymap-on-dataframe-evaluates-first-row-column-only-once"]], "arrays.IntegerArray comparisons return arrays.BooleanArray": [[2265, "arrays-integerarray-comparisons-return-arrays-booleanarray"]], "arrays.IntegerArray now uses pandas.NA": [[2265, "arrays-integerarray-now-uses-pandas-na"]], "astype": [[2186, "astype"]], "cast": [[15, "cast"]], "compare()": [[2200, "compare"]], "concat()": [[2200, "concat"]], "crosstab()": [[2204, "crosstab"]], "cut()": [[2204, "cut"]], "ddply": [[15, "ddply"]], "defaults": [[2186, "defaults"]], "dtype in apply": [[2188, "dtype-in-apply"]], "dtypes": [[2186, "dtypes"]], "eval() performance comparison": [[2193, "eval-performance-comparison"]], "explode()": [[2204, "explode"]], "factor": [[15, "factor"]], "factorize()": [[2204, "factorize"]], "float result for DataFrameGroupBy.mean(), DataFrameGroupBy.median(), and GDataFrameGroupBy.var(), SeriesGroupBy.mean(), SeriesGroupBy.median(), and SeriesGroupBy.var()": [[2283, "float-result-for-dataframegroupby-mean-dataframegroupby-median-and-gdataframegroupby-var-seriesgroupby-mean-seriesgroupby-median-and-seriesgroupby-var"]], "from_dummies": [[2294, "from-dummies"]], "fsspec now used for filesystem handling": [[2271, "fsspec-now-used-for-filesystem-handling"]], "get_dummies() always returns a DataFrame": [[2246, "get-dummies-always-returns-a-dataframe"]], "get_dummies() and from_dummies()": [[2204, "get-dummies-and-from-dummies"]], "gotchas": [[2186, "gotchas"]], "groupby.apply consistent transform detection": [[2289, "groupby-apply-consistent-transform-detection"]], "items": [[2186, "items"]], "iterrows": [[2186, "iterrows"]], "itertuples": [[2186, "itertuples"]], "mangle_dupe_cols in read_csv no longer renames unique columns conflicting with target names": [[2289, "mangle-dupe-cols-in-read-csv-no-longer-renames-unique-columns-conflicting-with-target-names"]], "match / %in%": [[15, "match"]], "melt() and wide_to_long()": [[2204, "melt-and-wide-to-long"]], "meltarray": [[15, "meltarray"]], "meltdf": [[15, "meltdf"]], "meltlist": [[15, "meltlist"]], "merge()": [[2200, "merge"]], "merge() and DataFrame.join() no longer reorder levels when levels differ": [[2307, "merge-and-dataframe-join-no-longer-reorder-levels-when-levels-differ"]], "merge() and DataFrame.join() now consistently follow documented sort behavior": [[2307, "merge-and-dataframe-join-now-consistently-follow-documented-sort-behavior"]], "merge_asof()": [[2200, "merge-asof"]], "merge_ordered()": [[2200, "merge-ordered"]], "msgpack": [[2199, "msgpack"]], "msgpack format": [[2249, "msgpack-format"]], "netCDF": [[2199, "netcdf"]], "np.nan as the NA representation for NumPy types": [[2194, "np-nan-as-the-na-representation-for-numpy-types"]], "numeric_only default value": [[2294, "numeric-only-default-value"]], "object conversion": [[2186, "object-conversion"]], "os.linesep is used for line_terminator of DataFrame.to_csv": [[2246, "os-linesep-is-used-for-line-terminator-of-dataframe-to-csv"]], "pandas Google BigQuery support has moved": [[2235, "pandas-google-bigquery-support-has-moved"]], "pandas Numba Engine": [[2193, "pandas-numba-engine"]], "pandas arrays, scalars, and data types": [[2167, null]], "pandas cookbook by Julia Evans": [[35, "pandas-cookbook-by-julia-evans"]], "pandas data table representation": [[23, "pandas-data-table-representation"]], "pandas development API": [[2232, "pandas-development-api"]], "pandas docstring guide": [[3, null]], "pandas documentation": [[36, null]], "pandas equivalents for some SQL analytic and aggregate functions": [[18, "pandas-equivalents-for-some-sql-analytic-and-aggregate-functions"]], "pandas maintenance": [[13, null]], "pandas workshop by Stefanie Molin": [[35, "pandas-workshop-by-stefanie-molin"]], "pandas-specific types": [[2, "pandas-specific-types"]], "pandas-stubs": [[2294, "pandas-stubs"]], "pandas.ArrowDtype": [[37, null]], "pandas.BooleanDtype": [[38, null]], "pandas.Categorical": [[39, null]], "pandas.Categorical.__array__": [[40, null]], "pandas.Categorical.categories": [[41, null]], "pandas.Categorical.codes": [[42, null]], "pandas.Categorical.dtype": [[43, null]], "pandas.Categorical.from_codes": [[44, null]], "pandas.Categorical.ordered": [[45, null]], "pandas.CategoricalDtype": [[46, null]], "pandas.CategoricalDtype.categories": [[47, null]], "pandas.CategoricalDtype.ordered": [[48, null]], "pandas.CategoricalIndex": [[49, null]], "pandas.CategoricalIndex.add_categories": [[50, null]], "pandas.CategoricalIndex.as_ordered": [[51, null]], "pandas.CategoricalIndex.as_unordered": [[52, null]], "pandas.CategoricalIndex.categories": [[53, null]], "pandas.CategoricalIndex.codes": [[54, null]], "pandas.CategoricalIndex.equals": [[55, null]], "pandas.CategoricalIndex.map": [[56, null]], "pandas.CategoricalIndex.ordered": [[57, null]], "pandas.CategoricalIndex.remove_categories": [[58, null]], "pandas.CategoricalIndex.remove_unused_categories": [[59, null]], "pandas.CategoricalIndex.rename_categories": [[60, null]], "pandas.CategoricalIndex.reorder_categories": [[61, null]], "pandas.CategoricalIndex.set_categories": [[62, null]], "pandas.DataFrame": [[63, null]], "pandas.DataFrame.T": [[64, null]], "pandas.DataFrame.__add__": [[65, null]], "pandas.DataFrame.__dataframe__": [[66, null]], "pandas.DataFrame.__iter__": [[67, null]], "pandas.DataFrame.abs": [[68, null]], "pandas.DataFrame.add": [[69, null]], "pandas.DataFrame.add_prefix": [[70, null]], "pandas.DataFrame.add_suffix": [[71, null]], "pandas.DataFrame.agg": [[72, null]], "pandas.DataFrame.aggregate": [[73, null]], "pandas.DataFrame.align": [[74, null]], "pandas.DataFrame.all": [[75, null]], "pandas.DataFrame.any": [[76, null]], "pandas.DataFrame.apply": [[77, null]], "pandas.DataFrame.applymap": [[78, null]], "pandas.DataFrame.asfreq": [[79, null]], "pandas.DataFrame.asof": [[80, null]], "pandas.DataFrame.assign": [[81, null]], "pandas.DataFrame.astype": [[82, null]], "pandas.DataFrame.at": [[83, null]], "pandas.DataFrame.at_time": [[84, null]], "pandas.DataFrame.attrs": [[85, null]], "pandas.DataFrame.axes": [[86, null]], "pandas.DataFrame.backfill": [[87, null]], "pandas.DataFrame.between_time": [[88, null]], "pandas.DataFrame.bfill": [[89, null]], "pandas.DataFrame.bool": [[90, null]], "pandas.DataFrame.boxplot": [[91, null]], "pandas.DataFrame.clip": [[92, null]], "pandas.DataFrame.columns": [[93, null]], "pandas.DataFrame.combine": [[94, null]], "pandas.DataFrame.combine_first": [[95, null]], "pandas.DataFrame.compare": [[96, null]], "pandas.DataFrame.convert_dtypes": [[97, null]], "pandas.DataFrame.copy": [[98, null]], "pandas.DataFrame.corr": [[99, null]], "pandas.DataFrame.corrwith": [[100, null]], "pandas.DataFrame.count": [[101, null]], "pandas.DataFrame.cov": [[102, null]], "pandas.DataFrame.cummax": [[103, null]], "pandas.DataFrame.cummin": [[104, null]], "pandas.DataFrame.cumprod": [[105, null]], "pandas.DataFrame.cumsum": [[106, null]], "pandas.DataFrame.describe": [[107, null]], "pandas.DataFrame.diff": [[108, null]], "pandas.DataFrame.div": [[109, null]], "pandas.DataFrame.dot": [[110, null]], "pandas.DataFrame.drop": [[111, null]], "pandas.DataFrame.drop_duplicates": [[112, null]], "pandas.DataFrame.droplevel": [[113, null]], "pandas.DataFrame.dropna": [[114, null]], "pandas.DataFrame.dtypes": [[115, null]], "pandas.DataFrame.duplicated": [[116, null]], "pandas.DataFrame.empty": [[117, null]], "pandas.DataFrame.eq": [[118, null]], "pandas.DataFrame.equals": [[119, null]], "pandas.DataFrame.eval": [[120, null]], "pandas.DataFrame.ewm": [[121, null]], "pandas.DataFrame.expanding": [[122, null]], "pandas.DataFrame.explode": [[123, null]], "pandas.DataFrame.ffill": [[124, null]], "pandas.DataFrame.fillna": [[125, null]], "pandas.DataFrame.filter": [[126, null]], "pandas.DataFrame.first": [[127, null]], "pandas.DataFrame.first_valid_index": [[128, null]], "pandas.DataFrame.floordiv": [[129, null]], "pandas.DataFrame.from_dict": [[130, null]], "pandas.DataFrame.from_records": [[131, null]], "pandas.DataFrame.ge": [[132, null]], "pandas.DataFrame.get": [[133, null]], "pandas.DataFrame.groupby": [[134, null]], "pandas.DataFrame.gt": [[135, null]], "pandas.DataFrame.head": [[136, null]], "pandas.DataFrame.hist": [[137, null]], "pandas.DataFrame.iat": [[138, null]], "pandas.DataFrame.idxmax": [[139, null]], "pandas.DataFrame.idxmin": [[140, null]], "pandas.DataFrame.iloc": [[141, null]], "pandas.DataFrame.index": [[142, null]], "pandas.DataFrame.infer_objects": [[143, null]], "pandas.DataFrame.info": [[144, null]], "pandas.DataFrame.insert": [[145, null]], "pandas.DataFrame.interpolate": [[146, null]], "pandas.DataFrame.isin": [[147, null]], "pandas.DataFrame.isna": [[148, null]], "pandas.DataFrame.isnull": [[149, null]], "pandas.DataFrame.items": [[150, null]], "pandas.DataFrame.iterrows": [[151, null]], "pandas.DataFrame.itertuples": [[152, null]], "pandas.DataFrame.join": [[153, null]], "pandas.DataFrame.keys": [[154, null]], "pandas.DataFrame.kurt": [[155, null]], "pandas.DataFrame.kurtosis": [[156, null]], "pandas.DataFrame.last": [[157, null]], "pandas.DataFrame.last_valid_index": [[158, null]], "pandas.DataFrame.le": [[159, null]], "pandas.DataFrame.loc": [[160, null]], "pandas.DataFrame.lt": [[161, null]], "pandas.DataFrame.map": [[162, null]], "pandas.DataFrame.mask": [[163, null]], "pandas.DataFrame.max": [[164, null]], "pandas.DataFrame.mean": [[165, null]], "pandas.DataFrame.median": [[166, null]], "pandas.DataFrame.melt": [[167, null]], "pandas.DataFrame.memory_usage": [[168, null]], "pandas.DataFrame.merge": [[169, null]], "pandas.DataFrame.min": [[170, null]], "pandas.DataFrame.mod": [[171, null]], "pandas.DataFrame.mode": [[172, null]], "pandas.DataFrame.mul": [[173, null]], "pandas.DataFrame.ndim": [[174, null]], "pandas.DataFrame.ne": [[175, null]], "pandas.DataFrame.nlargest": [[176, null]], "pandas.DataFrame.notna": [[177, null]], "pandas.DataFrame.notnull": [[178, null]], "pandas.DataFrame.nsmallest": [[179, null]], "pandas.DataFrame.nunique": [[180, null]], "pandas.DataFrame.pad": [[181, null]], "pandas.DataFrame.pct_change": [[182, null]], "pandas.DataFrame.pipe": [[183, null]], "pandas.DataFrame.pivot": [[184, null]], "pandas.DataFrame.pivot_table": [[185, null]], "pandas.DataFrame.plot": [[186, null]], "pandas.DataFrame.plot.area": [[187, null]], "pandas.DataFrame.plot.bar": [[188, null]], "pandas.DataFrame.plot.barh": [[189, null]], "pandas.DataFrame.plot.box": [[190, null]], "pandas.DataFrame.plot.density": [[191, null]], "pandas.DataFrame.plot.hexbin": [[192, null]], "pandas.DataFrame.plot.hist": [[193, null]], "pandas.DataFrame.plot.kde": [[194, null]], "pandas.DataFrame.plot.line": [[195, null]], "pandas.DataFrame.plot.pie": [[196, null]], "pandas.DataFrame.plot.scatter": [[197, null]], "pandas.DataFrame.pop": [[198, null]], "pandas.DataFrame.pow": [[199, null]], "pandas.DataFrame.prod": [[200, null]], "pandas.DataFrame.product": [[201, null]], "pandas.DataFrame.quantile": [[202, null]], "pandas.DataFrame.query": [[203, null]], "pandas.DataFrame.radd": [[204, null]], "pandas.DataFrame.rank": [[205, null]], "pandas.DataFrame.rdiv": [[206, null]], "pandas.DataFrame.reindex": [[207, null]], "pandas.DataFrame.reindex_like": [[208, null]], "pandas.DataFrame.rename": [[209, null]], "pandas.DataFrame.rename_axis": [[210, null]], "pandas.DataFrame.reorder_levels": [[211, null]], "pandas.DataFrame.replace": [[212, null]], "pandas.DataFrame.resample": [[213, null]], "pandas.DataFrame.reset_index": [[214, null]], "pandas.DataFrame.rfloordiv": [[215, null]], "pandas.DataFrame.rmod": [[216, null]], "pandas.DataFrame.rmul": [[217, null]], "pandas.DataFrame.rolling": [[218, null]], "pandas.DataFrame.round": [[219, null]], "pandas.DataFrame.rpow": [[220, null]], "pandas.DataFrame.rsub": [[221, null]], "pandas.DataFrame.rtruediv": [[222, null]], "pandas.DataFrame.sample": [[223, null]], "pandas.DataFrame.select_dtypes": [[224, null]], "pandas.DataFrame.sem": [[225, null]], "pandas.DataFrame.set_axis": [[226, null]], "pandas.DataFrame.set_flags": [[227, null]], "pandas.DataFrame.set_index": [[228, null]], "pandas.DataFrame.shape": [[229, null]], "pandas.DataFrame.shift": [[230, null]], "pandas.DataFrame.size": [[231, null]], "pandas.DataFrame.skew": [[232, null]], "pandas.DataFrame.sort_index": [[233, null]], "pandas.DataFrame.sort_values": [[234, null]], "pandas.DataFrame.sparse": [[235, null]], "pandas.DataFrame.sparse.density": [[236, null]], "pandas.DataFrame.sparse.from_spmatrix": [[237, null]], "pandas.DataFrame.sparse.to_coo": [[238, null]], "pandas.DataFrame.sparse.to_dense": [[239, null]], "pandas.DataFrame.squeeze": [[240, null]], "pandas.DataFrame.stack": [[241, null]], "pandas.DataFrame.std": [[242, null]], "pandas.DataFrame.style": [[243, null]], "pandas.DataFrame.sub": [[244, null]], "pandas.DataFrame.sum": [[245, null]], "pandas.DataFrame.swapaxes": [[246, null]], "pandas.DataFrame.swaplevel": [[247, null]], "pandas.DataFrame.tail": [[248, null]], "pandas.DataFrame.take": [[249, null]], "pandas.DataFrame.to_clipboard": [[250, null]], "pandas.DataFrame.to_csv": [[251, null]], "pandas.DataFrame.to_dict": [[252, null]], "pandas.DataFrame.to_excel": [[253, null]], "pandas.DataFrame.to_feather": [[254, null]], "pandas.DataFrame.to_gbq": [[255, null]], "pandas.DataFrame.to_hdf": [[256, null]], "pandas.DataFrame.to_html": [[257, null]], "pandas.DataFrame.to_json": [[258, null]], "pandas.DataFrame.to_latex": [[259, null]], "pandas.DataFrame.to_markdown": [[260, null]], "pandas.DataFrame.to_numpy": [[261, null]], "pandas.DataFrame.to_orc": [[262, null]], "pandas.DataFrame.to_parquet": [[263, null]], "pandas.DataFrame.to_period": [[264, null]], "pandas.DataFrame.to_pickle": [[265, null]], "pandas.DataFrame.to_records": [[266, null]], "pandas.DataFrame.to_sql": [[267, null]], "pandas.DataFrame.to_stata": [[268, null]], "pandas.DataFrame.to_string": [[269, null]], "pandas.DataFrame.to_timestamp": [[270, null]], "pandas.DataFrame.to_xarray": [[271, null]], "pandas.DataFrame.to_xml": [[272, null]], "pandas.DataFrame.transform": [[273, null]], "pandas.DataFrame.transpose": [[274, null]], "pandas.DataFrame.truediv": [[275, null]], "pandas.DataFrame.truncate": [[276, null]], "pandas.DataFrame.tz_convert": [[277, null]], "pandas.DataFrame.tz_localize": [[278, null]], "pandas.DataFrame.unstack": [[279, null]], "pandas.DataFrame.update": [[280, null]], "pandas.DataFrame.value_counts": [[281, null]], "pandas.DataFrame.values": [[282, null]], "pandas.DataFrame.var": [[283, null]], "pandas.DataFrame.where": [[284, null]], "pandas.DataFrame.xs": [[285, null]], "pandas.DatetimeIndex": [[286, null]], "pandas.DatetimeIndex.as_unit": [[287, null]], "pandas.DatetimeIndex.ceil": [[288, null]], "pandas.DatetimeIndex.date": [[289, null]], "pandas.DatetimeIndex.day": [[290, null]], "pandas.DatetimeIndex.day_name": [[291, null]], "pandas.DatetimeIndex.day_of_week": [[292, null]], "pandas.DatetimeIndex.day_of_year": [[293, null]], "pandas.DatetimeIndex.dayofweek": [[294, null]], "pandas.DatetimeIndex.dayofyear": [[295, null]], "pandas.DatetimeIndex.floor": [[296, null]], "pandas.DatetimeIndex.freq": [[297, null]], "pandas.DatetimeIndex.freqstr": [[298, null]], "pandas.DatetimeIndex.hour": [[299, null]], "pandas.DatetimeIndex.indexer_at_time": [[300, null]], "pandas.DatetimeIndex.indexer_between_time": [[301, null]], "pandas.DatetimeIndex.inferred_freq": [[302, null]], "pandas.DatetimeIndex.is_leap_year": [[303, null]], "pandas.DatetimeIndex.is_month_end": [[304, null]], "pandas.DatetimeIndex.is_month_start": [[305, null]], "pandas.DatetimeIndex.is_quarter_end": [[306, null]], "pandas.DatetimeIndex.is_quarter_start": [[307, null]], "pandas.DatetimeIndex.is_year_end": [[308, null]], "pandas.DatetimeIndex.is_year_start": [[309, null]], "pandas.DatetimeIndex.mean": [[310, null]], "pandas.DatetimeIndex.microsecond": [[311, null]], "pandas.DatetimeIndex.minute": [[312, null]], "pandas.DatetimeIndex.month": [[313, null]], "pandas.DatetimeIndex.month_name": [[314, null]], "pandas.DatetimeIndex.nanosecond": [[315, null]], "pandas.DatetimeIndex.normalize": [[316, null]], "pandas.DatetimeIndex.quarter": [[317, null]], "pandas.DatetimeIndex.round": [[318, null]], "pandas.DatetimeIndex.second": [[319, null]], "pandas.DatetimeIndex.snap": [[320, null]], "pandas.DatetimeIndex.std": [[321, null]], "pandas.DatetimeIndex.strftime": [[322, null]], "pandas.DatetimeIndex.time": [[323, null]], "pandas.DatetimeIndex.timetz": [[324, null]], "pandas.DatetimeIndex.to_frame": [[325, null]], "pandas.DatetimeIndex.to_period": [[326, null]], "pandas.DatetimeIndex.to_pydatetime": [[327, null]], "pandas.DatetimeIndex.to_series": [[328, null]], "pandas.DatetimeIndex.tz": [[329, null]], "pandas.DatetimeIndex.tz_convert": [[330, null]], "pandas.DatetimeIndex.tz_localize": [[331, null]], "pandas.DatetimeIndex.weekday": [[332, null]], "pandas.DatetimeIndex.year": [[333, null]], "pandas.DatetimeTZDtype": [[334, null]], "pandas.DatetimeTZDtype.tz": [[335, null]], "pandas.DatetimeTZDtype.unit": [[336, null]], "pandas.ExcelFile": [[337, null]], "pandas.ExcelFile.book": [[338, null]], "pandas.ExcelFile.parse": [[339, null]], "pandas.ExcelFile.sheet_names": [[340, null]], "pandas.ExcelWriter": [[341, null]], "pandas.Flags": [[342, null]], "pandas.Float32Dtype": [[343, null]], "pandas.Float64Dtype": [[344, null]], "pandas.Grouper": [[345, null]], "pandas.HDFStore.append": [[346, null]], "pandas.HDFStore.get": [[347, null]], "pandas.HDFStore.groups": [[348, null]], "pandas.HDFStore.info": [[349, null]], "pandas.HDFStore.keys": [[350, null]], "pandas.HDFStore.put": [[351, null]], "pandas.HDFStore.select": [[352, null]], "pandas.HDFStore.walk": [[353, null]], "pandas.Index": [[354, null]], "pandas.Index.T": [[355, null]], "pandas.Index.all": [[356, null]], "pandas.Index.any": [[357, null]], "pandas.Index.append": [[358, null]], "pandas.Index.argmax": [[359, null]], "pandas.Index.argmin": [[360, null]], "pandas.Index.argsort": [[361, null]], "pandas.Index.asof": [[362, null]], "pandas.Index.asof_locs": [[363, null]], "pandas.Index.astype": [[364, null]], "pandas.Index.copy": [[365, null]], "pandas.Index.delete": [[366, null]], "pandas.Index.difference": [[367, null]], "pandas.Index.drop": [[368, null]], "pandas.Index.drop_duplicates": [[369, null]], "pandas.Index.droplevel": [[370, null]], "pandas.Index.dropna": [[371, null]], "pandas.Index.dtype": [[372, null]], "pandas.Index.duplicated": [[373, null]], "pandas.Index.empty": [[374, null]], "pandas.Index.equals": [[375, null]], "pandas.Index.factorize": [[376, null]], "pandas.Index.fillna": [[377, null]], "pandas.Index.get_indexer": [[378, null]], "pandas.Index.get_indexer_for": [[379, null]], "pandas.Index.get_indexer_non_unique": [[380, null]], "pandas.Index.get_level_values": [[381, null]], "pandas.Index.get_loc": [[382, null]], "pandas.Index.get_slice_bound": [[383, null]], "pandas.Index.has_duplicates": [[384, null]], "pandas.Index.hasnans": [[385, null]], "pandas.Index.identical": [[386, null]], "pandas.Index.inferred_type": [[387, null]], "pandas.Index.insert": [[388, null]], "pandas.Index.intersection": [[389, null]], "pandas.Index.is_": [[390, null]], "pandas.Index.is_boolean": [[391, null]], "pandas.Index.is_categorical": [[392, null]], "pandas.Index.is_floating": [[393, null]], "pandas.Index.is_integer": [[394, null]], "pandas.Index.is_interval": [[395, null]], "pandas.Index.is_monotonic_decreasing": [[396, null]], "pandas.Index.is_monotonic_increasing": [[397, null]], "pandas.Index.is_numeric": [[398, null]], "pandas.Index.is_object": [[399, null]], "pandas.Index.is_unique": [[400, null]], "pandas.Index.isin": [[401, null]], "pandas.Index.isna": [[402, null]], "pandas.Index.item": [[403, null]], "pandas.Index.join": [[404, null]], "pandas.Index.map": [[405, null]], "pandas.Index.max": [[406, null]], "pandas.Index.memory_usage": [[407, null]], "pandas.Index.min": [[408, null]], "pandas.Index.name": [[409, null]], "pandas.Index.names": [[410, null]], "pandas.Index.nbytes": [[411, null]], "pandas.Index.ndim": [[412, null]], "pandas.Index.notna": [[413, null]], "pandas.Index.nunique": [[414, null]], "pandas.Index.putmask": [[415, null]], "pandas.Index.ravel": [[416, null]], "pandas.Index.reindex": [[417, null]], "pandas.Index.rename": [[418, null]], "pandas.Index.repeat": [[419, null]], "pandas.Index.searchsorted": [[420, null]], "pandas.Index.set_names": [[421, null]], "pandas.Index.shape": [[422, null]], "pandas.Index.shift": [[423, null]], "pandas.Index.size": [[424, null]], "pandas.Index.slice_indexer": [[425, null]], "pandas.Index.slice_locs": [[426, null]], "pandas.Index.sort_values": [[427, null]], "pandas.Index.str": [[428, null]], "pandas.Index.symmetric_difference": [[429, null]], "pandas.Index.take": [[430, null]], "pandas.Index.to_frame": [[431, null]], "pandas.Index.to_list": [[432, null]], "pandas.Index.to_series": [[433, null]], "pandas.Index.union": [[434, null]], "pandas.Index.unique": [[435, null]], "pandas.Index.value_counts": [[436, null]], "pandas.Index.values": [[437, null]], "pandas.Index.view": [[438, null]], "pandas.Index.where": [[439, null]], "pandas.IndexSlice": [[440, null]], "pandas.Int16Dtype": [[441, null]], "pandas.Int32Dtype": [[442, null]], "pandas.Int64Dtype": [[443, null]], "pandas.Int8Dtype": [[444, null]], "pandas.Interval": [[445, null]], "pandas.Interval.closed": [[446, null]], "pandas.Interval.closed_left": [[447, null]], "pandas.Interval.closed_right": [[448, null]], "pandas.Interval.is_empty": [[449, null]], "pandas.Interval.left": [[450, null]], "pandas.Interval.length": [[451, null]], "pandas.Interval.mid": [[452, null]], "pandas.Interval.open_left": [[453, null]], "pandas.Interval.open_right": [[454, null]], "pandas.Interval.overlaps": [[455, null]], "pandas.Interval.right": [[456, null]], "pandas.IntervalDtype": [[457, null]], "pandas.IntervalDtype.subtype": [[458, null]], "pandas.IntervalIndex": [[459, null]], "pandas.IntervalIndex.closed": [[460, null]], "pandas.IntervalIndex.contains": [[461, null]], "pandas.IntervalIndex.from_arrays": [[462, null]], "pandas.IntervalIndex.from_breaks": [[463, null]], "pandas.IntervalIndex.from_tuples": [[464, null]], "pandas.IntervalIndex.get_indexer": [[465, null]], "pandas.IntervalIndex.get_loc": [[466, null]], "pandas.IntervalIndex.is_empty": [[467, null]], "pandas.IntervalIndex.is_non_overlapping_monotonic": [[468, null]], "pandas.IntervalIndex.is_overlapping": [[469, null]], "pandas.IntervalIndex.left": [[470, null]], "pandas.IntervalIndex.length": [[471, null]], "pandas.IntervalIndex.mid": [[472, null]], "pandas.IntervalIndex.overlaps": [[473, null]], "pandas.IntervalIndex.right": [[474, null]], "pandas.IntervalIndex.set_closed": [[475, null]], "pandas.IntervalIndex.to_tuples": [[476, null]], "pandas.IntervalIndex.values": [[477, null]], "pandas.MultiIndex": [[478, null]], "pandas.MultiIndex.append": [[479, null]], "pandas.MultiIndex.codes": [[480, null]], "pandas.MultiIndex.copy": [[481, null]], "pandas.MultiIndex.drop": [[482, null]], "pandas.MultiIndex.droplevel": [[483, null]], "pandas.MultiIndex.dtypes": [[484, null]], "pandas.MultiIndex.from_arrays": [[485, null]], "pandas.MultiIndex.from_frame": [[486, null]], "pandas.MultiIndex.from_product": [[487, null]], "pandas.MultiIndex.from_tuples": [[488, null]], "pandas.MultiIndex.get_indexer": [[489, null]], "pandas.MultiIndex.get_level_values": [[490, null]], "pandas.MultiIndex.get_loc": [[491, null]], "pandas.MultiIndex.get_loc_level": [[492, null]], "pandas.MultiIndex.get_locs": [[493, null]], "pandas.MultiIndex.levels": [[494, null]], "pandas.MultiIndex.levshape": [[495, null]], "pandas.MultiIndex.names": [[496, null]], "pandas.MultiIndex.nlevels": [[497, null]], "pandas.MultiIndex.remove_unused_levels": [[498, null]], "pandas.MultiIndex.reorder_levels": [[499, null]], "pandas.MultiIndex.set_codes": [[500, null]], "pandas.MultiIndex.set_levels": [[501, null]], "pandas.MultiIndex.sortlevel": [[502, null]], "pandas.MultiIndex.swaplevel": [[503, null]], "pandas.MultiIndex.to_flat_index": [[504, null]], "pandas.MultiIndex.to_frame": [[505, null]], "pandas.MultiIndex.truncate": [[506, null]], "pandas.NA": [[507, null]], "pandas.NaT": [[508, null]], "pandas.NamedAgg": [[509, null]], "pandas.Period": [[510, null]], "pandas.Period.asfreq": [[511, null]], "pandas.Period.day": [[512, null]], "pandas.Period.day_of_week": [[513, null]], "pandas.Period.day_of_year": [[514, null]], "pandas.Period.dayofweek": [[515, null]], "pandas.Period.dayofyear": [[516, null]], "pandas.Period.days_in_month": [[517, null]], "pandas.Period.daysinmonth": [[518, null]], "pandas.Period.end_time": [[519, null]], "pandas.Period.freq": [[520, null]], "pandas.Period.freqstr": [[521, null]], "pandas.Period.hour": [[522, null]], "pandas.Period.is_leap_year": [[523, null]], "pandas.Period.minute": [[524, null]], "pandas.Period.month": [[525, null]], "pandas.Period.now": [[526, null]], "pandas.Period.ordinal": [[527, null]], "pandas.Period.quarter": [[528, null]], "pandas.Period.qyear": [[529, null]], "pandas.Period.second": [[530, null]], "pandas.Period.start_time": [[531, null]], "pandas.Period.strftime": [[532, null]], "pandas.Period.to_timestamp": [[533, null]], "pandas.Period.week": [[534, null]], "pandas.Period.weekday": [[535, null]], "pandas.Period.weekofyear": [[536, null]], "pandas.Period.year": [[537, null]], "pandas.PeriodDtype": [[538, null]], "pandas.PeriodDtype.freq": [[539, null]], "pandas.PeriodIndex": [[540, null]], "pandas.PeriodIndex.asfreq": [[541, null]], "pandas.PeriodIndex.day": [[542, null]], "pandas.PeriodIndex.day_of_week": [[543, null]], "pandas.PeriodIndex.day_of_year": [[544, null]], "pandas.PeriodIndex.dayofweek": [[545, null]], "pandas.PeriodIndex.dayofyear": [[546, null]], "pandas.PeriodIndex.days_in_month": [[547, null]], "pandas.PeriodIndex.daysinmonth": [[548, null]], "pandas.PeriodIndex.end_time": [[549, null]], "pandas.PeriodIndex.freq": [[550, null]], "pandas.PeriodIndex.freqstr": [[551, null]], "pandas.PeriodIndex.from_fields": [[552, null]], "pandas.PeriodIndex.from_ordinals": [[553, null]], "pandas.PeriodIndex.hour": [[554, null]], "pandas.PeriodIndex.is_leap_year": [[555, null]], "pandas.PeriodIndex.minute": [[556, null]], "pandas.PeriodIndex.month": [[557, null]], "pandas.PeriodIndex.quarter": [[558, null]], "pandas.PeriodIndex.qyear": [[559, null]], "pandas.PeriodIndex.second": [[560, null]], "pandas.PeriodIndex.start_time": [[561, null]], "pandas.PeriodIndex.strftime": [[562, null]], "pandas.PeriodIndex.to_timestamp": [[563, null]], "pandas.PeriodIndex.week": [[564, null]], "pandas.PeriodIndex.weekday": [[565, null]], "pandas.PeriodIndex.weekofyear": [[566, null]], "pandas.PeriodIndex.year": [[567, null]], "pandas.RangeIndex": [[568, null]], "pandas.RangeIndex.from_range": [[569, null]], "pandas.RangeIndex.start": [[570, null]], "pandas.RangeIndex.step": [[571, null]], "pandas.RangeIndex.stop": [[572, null]], "pandas.Series": [[573, null]], "pandas.Series.T": [[574, null]], "pandas.Series.__array__": [[575, null]], "pandas.Series.__iter__": [[576, null]], "pandas.Series.abs": [[577, null]], "pandas.Series.add": [[578, null]], "pandas.Series.add_prefix": [[579, null]], "pandas.Series.add_suffix": [[580, null]], "pandas.Series.agg": [[581, null]], "pandas.Series.aggregate": [[582, null]], "pandas.Series.align": [[583, null]], "pandas.Series.all": [[584, null]], "pandas.Series.any": [[585, null]], "pandas.Series.apply": [[586, null]], "pandas.Series.argmax": [[587, null]], "pandas.Series.argmin": [[588, null]], "pandas.Series.argsort": [[589, null]], "pandas.Series.array": [[590, null]], "pandas.Series.asfreq": [[591, null]], "pandas.Series.asof": [[592, null]], "pandas.Series.astype": [[593, null]], "pandas.Series.at": [[594, null]], "pandas.Series.at_time": [[595, null]], "pandas.Series.attrs": [[596, null]], "pandas.Series.autocorr": [[597, null]], "pandas.Series.backfill": [[598, null]], "pandas.Series.between": [[599, null]], "pandas.Series.between_time": [[600, null]], "pandas.Series.bfill": [[601, null]], "pandas.Series.bool": [[602, null]], "pandas.Series.case_when": [[603, null]], "pandas.Series.cat": [[604, null]], "pandas.Series.cat.add_categories": [[605, null]], "pandas.Series.cat.as_ordered": [[606, null]], "pandas.Series.cat.as_unordered": [[607, null]], "pandas.Series.cat.categories": [[608, null]], "pandas.Series.cat.codes": [[609, null]], "pandas.Series.cat.ordered": [[610, null]], "pandas.Series.cat.remove_categories": [[611, null]], "pandas.Series.cat.remove_unused_categories": [[612, null]], "pandas.Series.cat.rename_categories": [[613, null]], "pandas.Series.cat.reorder_categories": [[614, null]], "pandas.Series.cat.set_categories": [[615, null]], "pandas.Series.clip": [[616, null]], "pandas.Series.combine": [[617, null]], "pandas.Series.combine_first": [[618, null]], "pandas.Series.compare": [[619, null]], "pandas.Series.convert_dtypes": [[620, null]], "pandas.Series.copy": [[621, null]], "pandas.Series.corr": [[622, null]], "pandas.Series.count": [[623, null]], "pandas.Series.cov": [[624, null]], "pandas.Series.cummax": [[625, null]], "pandas.Series.cummin": [[626, null]], "pandas.Series.cumprod": [[627, null]], "pandas.Series.cumsum": [[628, null]], "pandas.Series.describe": [[629, null]], "pandas.Series.diff": [[630, null]], "pandas.Series.div": [[631, null]], "pandas.Series.dot": [[632, null]], "pandas.Series.drop": [[633, null]], "pandas.Series.drop_duplicates": [[634, null]], "pandas.Series.droplevel": [[635, null]], "pandas.Series.dropna": [[636, null]], "pandas.Series.dt": [[637, null]], "pandas.Series.dt.as_unit": [[638, null]], "pandas.Series.dt.ceil": [[639, null]], "pandas.Series.dt.components": [[640, null]], "pandas.Series.dt.date": [[641, null]], "pandas.Series.dt.day": [[642, null]], "pandas.Series.dt.day_name": [[643, null]], "pandas.Series.dt.day_of_week": [[644, null]], "pandas.Series.dt.day_of_year": [[645, null]], "pandas.Series.dt.dayofweek": [[646, null]], "pandas.Series.dt.dayofyear": [[647, null]], "pandas.Series.dt.days": [[648, null]], "pandas.Series.dt.days_in_month": [[649, null]], "pandas.Series.dt.daysinmonth": [[650, null]], "pandas.Series.dt.end_time": [[651, null]], "pandas.Series.dt.floor": [[652, null]], "pandas.Series.dt.freq": [[653, null]], "pandas.Series.dt.hour": [[654, null]], "pandas.Series.dt.is_leap_year": [[655, null]], "pandas.Series.dt.is_month_end": [[656, null]], "pandas.Series.dt.is_month_start": [[657, null]], "pandas.Series.dt.is_quarter_end": [[658, null]], "pandas.Series.dt.is_quarter_start": [[659, null]], "pandas.Series.dt.is_year_end": [[660, null]], "pandas.Series.dt.is_year_start": [[661, null]], "pandas.Series.dt.isocalendar": [[662, null]], "pandas.Series.dt.microsecond": [[663, null]], "pandas.Series.dt.microseconds": [[664, null]], "pandas.Series.dt.minute": [[665, null]], "pandas.Series.dt.month": [[666, null]], "pandas.Series.dt.month_name": [[667, null]], "pandas.Series.dt.nanosecond": [[668, null]], "pandas.Series.dt.nanoseconds": [[669, null]], "pandas.Series.dt.normalize": [[670, null]], "pandas.Series.dt.quarter": [[671, null]], "pandas.Series.dt.qyear": [[672, null]], "pandas.Series.dt.round": [[673, null]], "pandas.Series.dt.second": [[674, null]], "pandas.Series.dt.seconds": [[675, null]], "pandas.Series.dt.start_time": [[676, null]], "pandas.Series.dt.strftime": [[677, null]], "pandas.Series.dt.time": [[678, null]], "pandas.Series.dt.timetz": [[679, null]], "pandas.Series.dt.to_period": [[680, null]], "pandas.Series.dt.to_pydatetime": [[681, null]], "pandas.Series.dt.to_pytimedelta": [[682, null]], "pandas.Series.dt.total_seconds": [[683, null]], "pandas.Series.dt.tz": [[684, null]], "pandas.Series.dt.tz_convert": [[685, null]], "pandas.Series.dt.tz_localize": [[686, null]], "pandas.Series.dt.unit": [[687, null]], "pandas.Series.dt.weekday": [[688, null]], "pandas.Series.dt.year": [[689, null]], "pandas.Series.dtype": [[690, null]], "pandas.Series.dtypes": [[691, null]], "pandas.Series.duplicated": [[692, null]], "pandas.Series.empty": [[693, null]], "pandas.Series.eq": [[694, null]], "pandas.Series.equals": [[695, null]], "pandas.Series.ewm": [[696, null]], "pandas.Series.expanding": [[697, null]], "pandas.Series.explode": [[698, null]], "pandas.Series.factorize": [[699, null]], "pandas.Series.ffill": [[700, null]], "pandas.Series.fillna": [[701, null]], "pandas.Series.filter": [[702, null]], "pandas.Series.first": [[703, null]], "pandas.Series.first_valid_index": [[704, null]], "pandas.Series.flags": [[705, null]], "pandas.Series.floordiv": [[706, null]], "pandas.Series.ge": [[707, null]], "pandas.Series.get": [[708, null]], "pandas.Series.groupby": [[709, null]], "pandas.Series.gt": [[710, null]], "pandas.Series.hasnans": [[711, null]], "pandas.Series.head": [[712, null]], "pandas.Series.hist": [[713, null]], "pandas.Series.iat": [[714, null]], "pandas.Series.idxmax": [[715, null]], "pandas.Series.idxmin": [[716, null]], "pandas.Series.iloc": [[717, null]], "pandas.Series.index": [[718, null]], "pandas.Series.infer_objects": [[719, null]], "pandas.Series.interpolate": [[720, null]], "pandas.Series.is_monotonic_decreasing": [[721, null]], "pandas.Series.is_monotonic_increasing": [[722, null]], "pandas.Series.is_unique": [[723, null]], "pandas.Series.isin": [[724, null]], "pandas.Series.isna": [[725, null]], "pandas.Series.isnull": [[726, null]], "pandas.Series.item": [[727, null]], "pandas.Series.items": [[728, null]], "pandas.Series.keys": [[729, null]], "pandas.Series.kurt": [[730, null]], "pandas.Series.kurtosis": [[731, null]], "pandas.Series.last": [[732, null]], "pandas.Series.last_valid_index": [[733, null]], "pandas.Series.le": [[734, null]], "pandas.Series.list.__getitem__": [[735, null]], "pandas.Series.list.flatten": [[736, null]], "pandas.Series.list.len": [[737, null]], "pandas.Series.loc": [[738, null]], "pandas.Series.lt": [[739, null]], "pandas.Series.map": [[740, null]], "pandas.Series.mask": [[741, null]], "pandas.Series.max": [[742, null]], "pandas.Series.mean": [[743, null]], "pandas.Series.median": [[744, null]], "pandas.Series.memory_usage": [[745, null]], "pandas.Series.min": [[746, null]], "pandas.Series.mod": [[747, null]], "pandas.Series.mode": [[748, null]], "pandas.Series.mul": [[749, null]], "pandas.Series.name": [[750, null]], "pandas.Series.nbytes": [[751, null]], "pandas.Series.ndim": [[752, null]], "pandas.Series.ne": [[753, null]], "pandas.Series.nlargest": [[754, null]], "pandas.Series.notna": [[755, null]], "pandas.Series.notnull": [[756, null]], "pandas.Series.nsmallest": [[757, null]], "pandas.Series.nunique": [[758, null]], "pandas.Series.pad": [[759, null]], "pandas.Series.pct_change": [[760, null]], "pandas.Series.pipe": [[761, null]], "pandas.Series.plot": [[762, null]], "pandas.Series.plot.area": [[763, null]], "pandas.Series.plot.bar": [[764, null]], "pandas.Series.plot.barh": [[765, null]], "pandas.Series.plot.box": [[766, null]], "pandas.Series.plot.density": [[767, null]], "pandas.Series.plot.hist": [[768, null]], "pandas.Series.plot.kde": [[769, null]], "pandas.Series.plot.line": [[770, null]], "pandas.Series.plot.pie": [[771, null]], "pandas.Series.pop": [[772, null]], "pandas.Series.pow": [[773, null]], "pandas.Series.prod": [[774, null]], "pandas.Series.product": [[775, null]], "pandas.Series.quantile": [[776, null]], "pandas.Series.radd": [[777, null]], "pandas.Series.rank": [[778, null]], "pandas.Series.ravel": [[779, null]], "pandas.Series.rdiv": [[780, null]], "pandas.Series.reindex": [[781, null]], "pandas.Series.reindex_like": [[782, null]], "pandas.Series.rename": [[783, null]], "pandas.Series.rename_axis": [[784, null]], "pandas.Series.reorder_levels": [[785, null]], "pandas.Series.repeat": [[786, null]], "pandas.Series.replace": [[787, null]], "pandas.Series.resample": [[788, null]], "pandas.Series.reset_index": [[789, null]], "pandas.Series.rfloordiv": [[790, null]], "pandas.Series.rmod": [[791, null]], "pandas.Series.rmul": [[792, null]], "pandas.Series.rolling": [[793, null]], "pandas.Series.round": [[794, null]], "pandas.Series.rpow": [[795, null]], "pandas.Series.rsub": [[796, null]], "pandas.Series.rtruediv": [[797, null]], "pandas.Series.sample": [[798, null]], "pandas.Series.searchsorted": [[799, null]], "pandas.Series.sem": [[800, null]], "pandas.Series.set_axis": [[801, null]], "pandas.Series.set_flags": [[802, null]], "pandas.Series.shape": [[803, null]], "pandas.Series.shift": [[804, null]], "pandas.Series.size": [[805, null]], "pandas.Series.skew": [[806, null]], "pandas.Series.sort_index": [[807, null]], "pandas.Series.sort_values": [[808, null]], "pandas.Series.sparse": [[809, null]], "pandas.Series.sparse.density": [[810, null]], "pandas.Series.sparse.fill_value": [[811, null]], "pandas.Series.sparse.from_coo": [[812, null]], "pandas.Series.sparse.npoints": [[813, null]], "pandas.Series.sparse.sp_values": [[814, null]], "pandas.Series.sparse.to_coo": [[815, null]], "pandas.Series.squeeze": [[816, null]], "pandas.Series.std": [[817, null]], "pandas.Series.str": [[818, null]], "pandas.Series.str.capitalize": [[819, null]], "pandas.Series.str.casefold": [[820, null]], "pandas.Series.str.cat": [[821, null]], "pandas.Series.str.center": [[822, null]], "pandas.Series.str.contains": [[823, null]], "pandas.Series.str.count": [[824, null]], "pandas.Series.str.decode": [[825, null]], "pandas.Series.str.encode": [[826, null]], "pandas.Series.str.endswith": [[827, null]], "pandas.Series.str.extract": [[828, null]], "pandas.Series.str.extractall": [[829, null]], "pandas.Series.str.find": [[830, null]], "pandas.Series.str.findall": [[831, null]], "pandas.Series.str.fullmatch": [[832, null]], "pandas.Series.str.get": [[833, null]], "pandas.Series.str.get_dummies": [[834, null]], "pandas.Series.str.index": [[835, null]], "pandas.Series.str.isalnum": [[836, null]], "pandas.Series.str.isalpha": [[837, null]], "pandas.Series.str.isdecimal": [[838, null]], "pandas.Series.str.isdigit": [[839, null]], "pandas.Series.str.islower": [[840, null]], "pandas.Series.str.isnumeric": [[841, null]], "pandas.Series.str.isspace": [[842, null]], "pandas.Series.str.istitle": [[843, null]], "pandas.Series.str.isupper": [[844, null]], "pandas.Series.str.join": [[845, null]], "pandas.Series.str.len": [[846, null]], "pandas.Series.str.ljust": [[847, null]], "pandas.Series.str.lower": [[848, null]], "pandas.Series.str.lstrip": [[849, null]], "pandas.Series.str.match": [[850, null]], "pandas.Series.str.normalize": [[851, null]], "pandas.Series.str.pad": [[852, null]], "pandas.Series.str.partition": [[853, null]], "pandas.Series.str.removeprefix": [[854, null]], "pandas.Series.str.removesuffix": [[855, null]], "pandas.Series.str.repeat": [[856, null]], "pandas.Series.str.replace": [[857, null]], "pandas.Series.str.rfind": [[858, null]], "pandas.Series.str.rindex": [[859, null]], "pandas.Series.str.rjust": [[860, null]], "pandas.Series.str.rpartition": [[861, null]], "pandas.Series.str.rsplit": [[862, null]], "pandas.Series.str.rstrip": [[863, null]], "pandas.Series.str.slice": [[864, null]], "pandas.Series.str.slice_replace": [[865, null]], "pandas.Series.str.split": [[866, null]], "pandas.Series.str.startswith": [[867, null]], "pandas.Series.str.strip": [[868, null]], "pandas.Series.str.swapcase": [[869, null]], "pandas.Series.str.title": [[870, null]], "pandas.Series.str.translate": [[871, null]], "pandas.Series.str.upper": [[872, null]], "pandas.Series.str.wrap": [[873, null]], "pandas.Series.str.zfill": [[874, null]], "pandas.Series.struct.dtypes": [[875, null]], "pandas.Series.struct.explode": [[876, null]], "pandas.Series.struct.field": [[877, null]], "pandas.Series.sub": [[878, null]], "pandas.Series.sum": [[879, null]], "pandas.Series.swaplevel": [[880, null]], "pandas.Series.tail": [[881, null]], "pandas.Series.take": [[882, null]], "pandas.Series.to_clipboard": [[883, null]], "pandas.Series.to_csv": [[884, null]], "pandas.Series.to_dict": [[885, null]], "pandas.Series.to_excel": [[886, null]], "pandas.Series.to_frame": [[887, null]], "pandas.Series.to_hdf": [[888, null]], "pandas.Series.to_json": [[889, null]], "pandas.Series.to_latex": [[890, null]], "pandas.Series.to_list": [[891, null]], "pandas.Series.to_markdown": [[892, null]], "pandas.Series.to_numpy": [[893, null]], "pandas.Series.to_period": [[894, null]], "pandas.Series.to_pickle": [[895, null]], "pandas.Series.to_sql": [[896, null]], "pandas.Series.to_string": [[897, null]], "pandas.Series.to_timestamp": [[898, null]], "pandas.Series.to_xarray": [[899, null]], "pandas.Series.transform": [[900, null]], "pandas.Series.truediv": [[901, null]], "pandas.Series.truncate": [[902, null]], "pandas.Series.tz_convert": [[903, null]], "pandas.Series.tz_localize": [[904, null]], "pandas.Series.unique": [[905, null]], "pandas.Series.unstack": [[906, null]], "pandas.Series.update": [[907, null]], "pandas.Series.value_counts": [[908, null]], "pandas.Series.values": [[909, null]], "pandas.Series.var": [[910, null]], "pandas.Series.view": [[911, null]], "pandas.Series.where": [[912, null]], "pandas.Series.xs": [[913, null]], "pandas.SparseDtype": [[914, null]], "pandas.StringDtype": [[915, null]], "pandas.Timedelta": [[916, null]], "pandas.Timedelta.as_unit": [[917, null]], "pandas.Timedelta.asm8": [[918, null]], "pandas.Timedelta.ceil": [[919, null]], "pandas.Timedelta.components": [[920, null]], "pandas.Timedelta.days": [[921, null]], "pandas.Timedelta.floor": [[922, null]], "pandas.Timedelta.isoformat": [[923, null]], "pandas.Timedelta.max": [[924, null]], "pandas.Timedelta.microseconds": [[925, null]], "pandas.Timedelta.min": [[926, null]], "pandas.Timedelta.nanoseconds": [[927, null]], "pandas.Timedelta.resolution": [[928, null]], "pandas.Timedelta.round": [[929, null]], "pandas.Timedelta.seconds": [[930, null]], "pandas.Timedelta.to_numpy": [[931, null]], "pandas.Timedelta.to_pytimedelta": [[932, null]], "pandas.Timedelta.to_timedelta64": [[933, null]], "pandas.Timedelta.total_seconds": [[934, null]], "pandas.Timedelta.unit": [[935, null]], "pandas.Timedelta.value": [[936, null]], "pandas.Timedelta.view": [[937, null]], "pandas.TimedeltaIndex": [[938, null]], "pandas.TimedeltaIndex.as_unit": [[939, null]], "pandas.TimedeltaIndex.ceil": [[940, null]], "pandas.TimedeltaIndex.components": [[941, null]], "pandas.TimedeltaIndex.days": [[942, null]], "pandas.TimedeltaIndex.floor": [[943, null]], "pandas.TimedeltaIndex.inferred_freq": [[944, null]], "pandas.TimedeltaIndex.mean": [[945, null]], "pandas.TimedeltaIndex.microseconds": [[946, null]], "pandas.TimedeltaIndex.nanoseconds": [[947, null]], "pandas.TimedeltaIndex.round": [[948, null]], "pandas.TimedeltaIndex.seconds": [[949, null]], "pandas.TimedeltaIndex.to_frame": [[950, null]], "pandas.TimedeltaIndex.to_pytimedelta": [[951, null]], "pandas.TimedeltaIndex.to_series": [[952, null]], "pandas.Timestamp": [[953, null]], "pandas.Timestamp.as_unit": [[954, null]], "pandas.Timestamp.asm8": [[955, null]], "pandas.Timestamp.astimezone": [[956, null]], "pandas.Timestamp.ceil": [[957, null]], "pandas.Timestamp.combine": [[958, null]], "pandas.Timestamp.ctime": [[959, null]], "pandas.Timestamp.date": [[960, null]], "pandas.Timestamp.day": [[961, null]], "pandas.Timestamp.day_name": [[962, null]], "pandas.Timestamp.day_of_week": [[963, null]], "pandas.Timestamp.day_of_year": [[964, null]], "pandas.Timestamp.dayofweek": [[965, null]], "pandas.Timestamp.dayofyear": [[966, null]], "pandas.Timestamp.days_in_month": [[967, null]], "pandas.Timestamp.daysinmonth": [[968, null]], "pandas.Timestamp.dst": [[969, null]], "pandas.Timestamp.floor": [[970, null]], "pandas.Timestamp.fold": [[971, null]], "pandas.Timestamp.fromordinal": [[972, null]], "pandas.Timestamp.fromtimestamp": [[973, null]], "pandas.Timestamp.hour": [[974, null]], "pandas.Timestamp.is_leap_year": [[975, null]], "pandas.Timestamp.is_month_end": [[976, null]], "pandas.Timestamp.is_month_start": [[977, null]], "pandas.Timestamp.is_quarter_end": [[978, null]], "pandas.Timestamp.is_quarter_start": [[979, null]], "pandas.Timestamp.is_year_end": [[980, null]], "pandas.Timestamp.is_year_start": [[981, null]], "pandas.Timestamp.isocalendar": [[982, null]], "pandas.Timestamp.isoformat": [[983, null]], "pandas.Timestamp.isoweekday": [[984, null]], "pandas.Timestamp.max": [[985, null]], "pandas.Timestamp.microsecond": [[986, null]], "pandas.Timestamp.min": [[987, null]], "pandas.Timestamp.minute": [[988, null]], "pandas.Timestamp.month": [[989, null]], "pandas.Timestamp.month_name": [[990, null]], "pandas.Timestamp.nanosecond": [[991, null]], "pandas.Timestamp.normalize": [[992, null]], "pandas.Timestamp.now": [[993, null]], "pandas.Timestamp.quarter": [[994, null]], "pandas.Timestamp.replace": [[995, null]], "pandas.Timestamp.resolution": [[996, null]], "pandas.Timestamp.round": [[997, null]], "pandas.Timestamp.second": [[998, null]], "pandas.Timestamp.strftime": [[999, null]], "pandas.Timestamp.strptime": [[1000, null]], "pandas.Timestamp.time": [[1001, null]], "pandas.Timestamp.timestamp": [[1002, null]], "pandas.Timestamp.timetuple": [[1003, null]], "pandas.Timestamp.timetz": [[1004, null]], "pandas.Timestamp.to_datetime64": [[1005, null]], "pandas.Timestamp.to_julian_date": [[1006, null]], "pandas.Timestamp.to_numpy": [[1007, null]], "pandas.Timestamp.to_period": [[1008, null]], "pandas.Timestamp.to_pydatetime": [[1009, null]], "pandas.Timestamp.today": [[1010, null]], "pandas.Timestamp.toordinal": [[1011, null]], "pandas.Timestamp.tz": [[1012, null]], "pandas.Timestamp.tz_convert": [[1013, null]], "pandas.Timestamp.tz_localize": [[1014, null]], "pandas.Timestamp.tzinfo": [[1015, null]], "pandas.Timestamp.tzname": [[1016, null]], "pandas.Timestamp.unit": [[1017, null]], "pandas.Timestamp.utcfromtimestamp": [[1018, null]], "pandas.Timestamp.utcnow": [[1019, null]], "pandas.Timestamp.utcoffset": [[1020, null]], "pandas.Timestamp.utctimetuple": [[1021, null]], "pandas.Timestamp.value": [[1022, null]], "pandas.Timestamp.week": [[1023, null]], "pandas.Timestamp.weekday": [[1024, null]], "pandas.Timestamp.weekofyear": [[1025, null]], "pandas.Timestamp.year": [[1026, null]], "pandas.UInt16Dtype": [[1027, null]], "pandas.UInt32Dtype": [[1028, null]], "pandas.UInt64Dtype": [[1029, null]], "pandas.UInt8Dtype": [[1030, null]], "pandas.api.extensions.ExtensionArray": [[1031, null]], "pandas.api.extensions.ExtensionArray._accumulate": [[1032, null]], "pandas.api.extensions.ExtensionArray._concat_same_type": [[1033, null]], "pandas.api.extensions.ExtensionArray._explode": [[1034, null]], "pandas.api.extensions.ExtensionArray._formatter": [[1035, null]], "pandas.api.extensions.ExtensionArray._from_factorized": [[1036, null]], "pandas.api.extensions.ExtensionArray._from_sequence": [[1037, null]], "pandas.api.extensions.ExtensionArray._from_sequence_of_strings": [[1038, null]], "pandas.api.extensions.ExtensionArray._hash_pandas_object": [[1039, null]], "pandas.api.extensions.ExtensionArray._pad_or_backfill": [[1040, null]], "pandas.api.extensions.ExtensionArray._reduce": [[1041, null]], "pandas.api.extensions.ExtensionArray._values_for_argsort": [[1042, null]], "pandas.api.extensions.ExtensionArray._values_for_factorize": [[1043, null]], "pandas.api.extensions.ExtensionArray.argsort": [[1044, null]], "pandas.api.extensions.ExtensionArray.astype": [[1045, null]], "pandas.api.extensions.ExtensionArray.copy": [[1046, null]], "pandas.api.extensions.ExtensionArray.dropna": [[1047, null]], "pandas.api.extensions.ExtensionArray.dtype": [[1048, null]], "pandas.api.extensions.ExtensionArray.duplicated": [[1049, null]], "pandas.api.extensions.ExtensionArray.equals": [[1050, null]], "pandas.api.extensions.ExtensionArray.factorize": [[1051, null]], "pandas.api.extensions.ExtensionArray.fillna": [[1052, null]], "pandas.api.extensions.ExtensionArray.insert": [[1053, null]], "pandas.api.extensions.ExtensionArray.interpolate": [[1054, null]], "pandas.api.extensions.ExtensionArray.isin": [[1055, null]], "pandas.api.extensions.ExtensionArray.isna": [[1056, null]], "pandas.api.extensions.ExtensionArray.nbytes": [[1057, null]], "pandas.api.extensions.ExtensionArray.ndim": [[1058, null]], "pandas.api.extensions.ExtensionArray.ravel": [[1059, null]], "pandas.api.extensions.ExtensionArray.repeat": [[1060, null]], "pandas.api.extensions.ExtensionArray.searchsorted": [[1061, null]], "pandas.api.extensions.ExtensionArray.shape": [[1062, null]], "pandas.api.extensions.ExtensionArray.shift": [[1063, null]], "pandas.api.extensions.ExtensionArray.take": [[1064, null]], "pandas.api.extensions.ExtensionArray.tolist": [[1065, null]], "pandas.api.extensions.ExtensionArray.unique": [[1066, null]], "pandas.api.extensions.ExtensionArray.view": [[1067, null]], "pandas.api.extensions.ExtensionDtype": [[1068, null]], "pandas.api.extensions.register_dataframe_accessor": [[1069, null]], "pandas.api.extensions.register_extension_dtype": [[1070, null]], "pandas.api.extensions.register_index_accessor": [[1071, null]], "pandas.api.extensions.register_series_accessor": [[1072, null]], "pandas.api.indexers.BaseIndexer": [[1073, null]], "pandas.api.indexers.FixedForwardWindowIndexer": [[1074, null]], "pandas.api.indexers.VariableOffsetWindowIndexer": [[1075, null]], "pandas.api.indexers.check_array_indexer": [[1076, null]], "pandas.api.interchange.from_dataframe": [[1077, null]], "pandas.api.types.infer_dtype": [[1078, null]], "pandas.api.types.is_any_real_numeric_dtype": [[1079, null]], "pandas.api.types.is_bool": [[1080, null]], "pandas.api.types.is_bool_dtype": [[1081, null]], "pandas.api.types.is_categorical_dtype": [[1082, null]], "pandas.api.types.is_complex": [[1083, null]], "pandas.api.types.is_complex_dtype": [[1084, null]], "pandas.api.types.is_datetime64_any_dtype": [[1085, null]], "pandas.api.types.is_datetime64_dtype": [[1086, null]], "pandas.api.types.is_datetime64_ns_dtype": [[1087, null]], "pandas.api.types.is_datetime64tz_dtype": [[1088, null]], "pandas.api.types.is_dict_like": [[1089, null]], "pandas.api.types.is_extension_array_dtype": [[1090, null]], "pandas.api.types.is_file_like": [[1091, null]], "pandas.api.types.is_float": [[1092, null]], "pandas.api.types.is_float_dtype": [[1093, null]], "pandas.api.types.is_hashable": [[1094, null]], "pandas.api.types.is_int64_dtype": [[1095, null]], "pandas.api.types.is_integer": [[1096, null]], "pandas.api.types.is_integer_dtype": [[1097, null]], "pandas.api.types.is_interval": [[1098, null]], "pandas.api.types.is_interval_dtype": [[1099, null]], "pandas.api.types.is_iterator": [[1100, null]], "pandas.api.types.is_list_like": [[1101, null]], "pandas.api.types.is_named_tuple": [[1102, null]], "pandas.api.types.is_number": [[1103, null]], "pandas.api.types.is_numeric_dtype": [[1104, null]], "pandas.api.types.is_object_dtype": [[1105, null]], "pandas.api.types.is_period_dtype": [[1106, null]], "pandas.api.types.is_re": [[1107, null]], "pandas.api.types.is_re_compilable": [[1108, null]], "pandas.api.types.is_scalar": [[1109, null]], "pandas.api.types.is_signed_integer_dtype": [[1110, null]], "pandas.api.types.is_sparse": [[1111, null]], "pandas.api.types.is_string_dtype": [[1112, null]], "pandas.api.types.is_timedelta64_dtype": [[1113, null]], "pandas.api.types.is_timedelta64_ns_dtype": [[1114, null]], "pandas.api.types.is_unsigned_integer_dtype": [[1115, null]], "pandas.api.types.pandas_dtype": [[1116, null]], "pandas.api.types.union_categoricals": [[1117, null]], "pandas.array": [[1118, null]], "pandas.array() inference changes": [[2265, "pandas-array-inference-changes"]], "pandas.array: a new top-level method for creating arrays": [[2246, "pandas-array-a-new-top-level-method-for-creating-arrays"]], "pandas.arrays.ArrowExtensionArray": [[1119, null]], "pandas.arrays.ArrowStringArray": [[1120, null]], "pandas.arrays.BooleanArray": [[1121, null]], "pandas.arrays.DatetimeArray": [[1122, null]], "pandas.arrays.FloatingArray": [[1123, null]], "pandas.arrays.IntegerArray": [[1124, null]], "pandas.arrays.IntervalArray": [[1125, null]], "pandas.arrays.IntervalArray.closed": [[1126, null]], "pandas.arrays.IntervalArray.contains": [[1127, null]], "pandas.arrays.IntervalArray.from_arrays": [[1128, null]], "pandas.arrays.IntervalArray.from_breaks": [[1129, null]], "pandas.arrays.IntervalArray.from_tuples": [[1130, null]], "pandas.arrays.IntervalArray.is_empty": [[1131, null]], "pandas.arrays.IntervalArray.is_non_overlapping_monotonic": [[1132, null]], "pandas.arrays.IntervalArray.left": [[1133, null]], "pandas.arrays.IntervalArray.length": [[1134, null]], "pandas.arrays.IntervalArray.mid": [[1135, null]], "pandas.arrays.IntervalArray.overlaps": [[1136, null]], "pandas.arrays.IntervalArray.right": [[1137, null]], "pandas.arrays.IntervalArray.set_closed": [[1138, null]], "pandas.arrays.IntervalArray.to_tuples": [[1139, null]], "pandas.arrays.NumpyExtensionArray": [[1140, null]], "pandas.arrays.PeriodArray": [[1141, null]], "pandas.arrays.SparseArray": [[1142, null]], "pandas.arrays.StringArray": [[1143, null]], "pandas.arrays.TimedeltaArray": [[1144, null]], "pandas.bdate_range": [[1145, null]], "pandas.concat": [[1146, null]], "pandas.core.common removals": [[2241, "pandas-core-common-removals"]], "pandas.core.groupby.DataFrameGroupBy.__iter__": [[1147, null]], "pandas.core.groupby.DataFrameGroupBy.agg": [[1148, null]], "pandas.core.groupby.DataFrameGroupBy.aggregate": [[1149, null]], "pandas.core.groupby.DataFrameGroupBy.all": [[1150, null]], "pandas.core.groupby.DataFrameGroupBy.any": [[1151, null]], "pandas.core.groupby.DataFrameGroupBy.apply": [[1152, null]], "pandas.core.groupby.DataFrameGroupBy.bfill": [[1153, null]], "pandas.core.groupby.DataFrameGroupBy.boxplot": [[1154, null]], "pandas.core.groupby.DataFrameGroupBy.corr": [[1155, null]], "pandas.core.groupby.DataFrameGroupBy.corrwith": [[1156, null]], "pandas.core.groupby.DataFrameGroupBy.count": [[1157, null]], "pandas.core.groupby.DataFrameGroupBy.cov": [[1158, null]], "pandas.core.groupby.DataFrameGroupBy.cumcount": [[1159, null]], "pandas.core.groupby.DataFrameGroupBy.cummax": [[1160, null]], "pandas.core.groupby.DataFrameGroupBy.cummin": [[1161, null]], "pandas.core.groupby.DataFrameGroupBy.cumprod": [[1162, null]], "pandas.core.groupby.DataFrameGroupBy.cumsum": [[1163, null]], "pandas.core.groupby.DataFrameGroupBy.describe": [[1164, null]], "pandas.core.groupby.DataFrameGroupBy.diff": [[1165, null]], "pandas.core.groupby.DataFrameGroupBy.ffill": [[1166, null]], "pandas.core.groupby.DataFrameGroupBy.fillna": [[1167, null]], "pandas.core.groupby.DataFrameGroupBy.filter": [[1168, null]], "pandas.core.groupby.DataFrameGroupBy.first": [[1169, null]], "pandas.core.groupby.DataFrameGroupBy.get_group": [[1170, null]], "pandas.core.groupby.DataFrameGroupBy.groups": [[1171, null]], "pandas.core.groupby.DataFrameGroupBy.head": [[1172, null]], "pandas.core.groupby.DataFrameGroupBy.hist": [[1173, null]], "pandas.core.groupby.DataFrameGroupBy.idxmax": [[1174, null]], "pandas.core.groupby.DataFrameGroupBy.idxmin": [[1175, null]], "pandas.core.groupby.DataFrameGroupBy.indices": [[1176, null]], "pandas.core.groupby.DataFrameGroupBy.last": [[1177, null]], "pandas.core.groupby.DataFrameGroupBy.max": [[1178, null]], "pandas.core.groupby.DataFrameGroupBy.mean": [[1179, null]], "pandas.core.groupby.DataFrameGroupBy.median": [[1180, null]], "pandas.core.groupby.DataFrameGroupBy.min": [[1181, null]], "pandas.core.groupby.DataFrameGroupBy.ngroup": [[1182, null]], "pandas.core.groupby.DataFrameGroupBy.nth": [[1183, null]], "pandas.core.groupby.DataFrameGroupBy.nunique": [[1184, null]], "pandas.core.groupby.DataFrameGroupBy.ohlc": [[1185, null]], "pandas.core.groupby.DataFrameGroupBy.pct_change": [[1186, null]], "pandas.core.groupby.DataFrameGroupBy.pipe": [[1187, null]], "pandas.core.groupby.DataFrameGroupBy.plot": [[1188, null]], "pandas.core.groupby.DataFrameGroupBy.prod": [[1189, null]], "pandas.core.groupby.DataFrameGroupBy.quantile": [[1190, null]], "pandas.core.groupby.DataFrameGroupBy.rank": [[1191, null]], "pandas.core.groupby.DataFrameGroupBy.resample": [[1192, null]], "pandas.core.groupby.DataFrameGroupBy.rolling": [[1193, null]], "pandas.core.groupby.DataFrameGroupBy.sample": [[1194, null]], "pandas.core.groupby.DataFrameGroupBy.sem": [[1195, null]], "pandas.core.groupby.DataFrameGroupBy.shift": [[1196, null]], "pandas.core.groupby.DataFrameGroupBy.size": [[1197, null]], "pandas.core.groupby.DataFrameGroupBy.skew": [[1198, null]], "pandas.core.groupby.DataFrameGroupBy.std": [[1199, null]], "pandas.core.groupby.DataFrameGroupBy.sum": [[1200, null]], "pandas.core.groupby.DataFrameGroupBy.tail": [[1201, null]], "pandas.core.groupby.DataFrameGroupBy.take": [[1202, null]], "pandas.core.groupby.DataFrameGroupBy.transform": [[1203, null]], "pandas.core.groupby.DataFrameGroupBy.value_counts": [[1204, null]], "pandas.core.groupby.DataFrameGroupBy.var": [[1205, null]], "pandas.core.groupby.SeriesGroupBy.__iter__": [[1206, null]], "pandas.core.groupby.SeriesGroupBy.agg": [[1207, null]], "pandas.core.groupby.SeriesGroupBy.aggregate": [[1208, null]], "pandas.core.groupby.SeriesGroupBy.all": [[1209, null]], "pandas.core.groupby.SeriesGroupBy.any": [[1210, null]], "pandas.core.groupby.SeriesGroupBy.apply": [[1211, null]], "pandas.core.groupby.SeriesGroupBy.bfill": [[1212, null]], "pandas.core.groupby.SeriesGroupBy.corr": [[1213, null]], "pandas.core.groupby.SeriesGroupBy.count": [[1214, null]], "pandas.core.groupby.SeriesGroupBy.cov": [[1215, null]], "pandas.core.groupby.SeriesGroupBy.cumcount": [[1216, null]], "pandas.core.groupby.SeriesGroupBy.cummax": [[1217, null]], "pandas.core.groupby.SeriesGroupBy.cummin": [[1218, null]], "pandas.core.groupby.SeriesGroupBy.cumprod": [[1219, null]], "pandas.core.groupby.SeriesGroupBy.cumsum": [[1220, null]], "pandas.core.groupby.SeriesGroupBy.describe": [[1221, null]], "pandas.core.groupby.SeriesGroupBy.diff": [[1222, null]], "pandas.core.groupby.SeriesGroupBy.ffill": [[1223, null]], "pandas.core.groupby.SeriesGroupBy.fillna": [[1224, null]], "pandas.core.groupby.SeriesGroupBy.filter": [[1225, null]], "pandas.core.groupby.SeriesGroupBy.first": [[1226, null]], "pandas.core.groupby.SeriesGroupBy.get_group": [[1227, null]], "pandas.core.groupby.SeriesGroupBy.groups": [[1228, null]], "pandas.core.groupby.SeriesGroupBy.head": [[1229, null]], "pandas.core.groupby.SeriesGroupBy.hist": [[1230, null]], "pandas.core.groupby.SeriesGroupBy.idxmax": [[1231, null]], "pandas.core.groupby.SeriesGroupBy.idxmin": [[1232, null]], "pandas.core.groupby.SeriesGroupBy.indices": [[1233, null]], "pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing": [[1234, null]], "pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing": [[1235, null]], "pandas.core.groupby.SeriesGroupBy.last": [[1236, null]], "pandas.core.groupby.SeriesGroupBy.max": [[1237, null]], "pandas.core.groupby.SeriesGroupBy.mean": [[1238, null]], "pandas.core.groupby.SeriesGroupBy.median": [[1239, null]], "pandas.core.groupby.SeriesGroupBy.min": [[1240, null]], "pandas.core.groupby.SeriesGroupBy.ngroup": [[1241, null]], "pandas.core.groupby.SeriesGroupBy.nlargest": [[1242, null]], "pandas.core.groupby.SeriesGroupBy.nsmallest": [[1243, null]], "pandas.core.groupby.SeriesGroupBy.nth": [[1244, null]], "pandas.core.groupby.SeriesGroupBy.nunique": [[1245, null]], "pandas.core.groupby.SeriesGroupBy.ohlc": [[1246, null]], "pandas.core.groupby.SeriesGroupBy.pct_change": [[1247, null]], "pandas.core.groupby.SeriesGroupBy.pipe": [[1248, null]], "pandas.core.groupby.SeriesGroupBy.plot": [[1249, null]], "pandas.core.groupby.SeriesGroupBy.prod": [[1250, null]], "pandas.core.groupby.SeriesGroupBy.quantile": [[1251, null]], "pandas.core.groupby.SeriesGroupBy.rank": [[1252, null]], "pandas.core.groupby.SeriesGroupBy.resample": [[1253, null]], "pandas.core.groupby.SeriesGroupBy.rolling": [[1254, null]], "pandas.core.groupby.SeriesGroupBy.sample": [[1255, null]], "pandas.core.groupby.SeriesGroupBy.sem": [[1256, null]], "pandas.core.groupby.SeriesGroupBy.shift": [[1257, null]], "pandas.core.groupby.SeriesGroupBy.size": [[1258, null]], "pandas.core.groupby.SeriesGroupBy.skew": [[1259, null]], "pandas.core.groupby.SeriesGroupBy.std": [[1260, null]], "pandas.core.groupby.SeriesGroupBy.sum": [[1261, null]], "pandas.core.groupby.SeriesGroupBy.tail": [[1262, null]], "pandas.core.groupby.SeriesGroupBy.take": [[1263, null]], "pandas.core.groupby.SeriesGroupBy.transform": [[1264, null]], "pandas.core.groupby.SeriesGroupBy.unique": [[1265, null]], "pandas.core.groupby.SeriesGroupBy.value_counts": [[1266, null]], "pandas.core.groupby.SeriesGroupBy.var": [[1267, null]], "pandas.core.resample.Resampler.__iter__": [[1268, null]], "pandas.core.resample.Resampler.aggregate": [[1269, null]], "pandas.core.resample.Resampler.apply": [[1270, null]], "pandas.core.resample.Resampler.asfreq": [[1271, null]], "pandas.core.resample.Resampler.bfill": [[1272, null]], "pandas.core.resample.Resampler.count": [[1273, null]], "pandas.core.resample.Resampler.ffill": [[1274, null]], "pandas.core.resample.Resampler.fillna": [[1275, null]], "pandas.core.resample.Resampler.first": [[1276, null]], "pandas.core.resample.Resampler.get_group": [[1277, null]], "pandas.core.resample.Resampler.groups": [[1278, null]], "pandas.core.resample.Resampler.indices": [[1279, null]], "pandas.core.resample.Resampler.interpolate": [[1280, null]], "pandas.core.resample.Resampler.last": [[1281, null]], "pandas.core.resample.Resampler.max": [[1282, null]], "pandas.core.resample.Resampler.mean": [[1283, null]], "pandas.core.resample.Resampler.median": [[1284, null]], "pandas.core.resample.Resampler.min": [[1285, null]], "pandas.core.resample.Resampler.nearest": [[1286, null]], "pandas.core.resample.Resampler.nunique": [[1287, null]], "pandas.core.resample.Resampler.ohlc": [[1288, null]], "pandas.core.resample.Resampler.pipe": [[1289, null]], "pandas.core.resample.Resampler.prod": [[1290, null]], "pandas.core.resample.Resampler.quantile": [[1291, null]], "pandas.core.resample.Resampler.sem": [[1292, null]], "pandas.core.resample.Resampler.size": [[1293, null]], "pandas.core.resample.Resampler.std": [[1294, null]], "pandas.core.resample.Resampler.sum": [[1295, null]], "pandas.core.resample.Resampler.transform": [[1296, null]], "pandas.core.resample.Resampler.var": [[1297, null]], "pandas.core.window.ewm.ExponentialMovingWindow.corr": [[1298, null]], "pandas.core.window.ewm.ExponentialMovingWindow.cov": [[1299, null]], "pandas.core.window.ewm.ExponentialMovingWindow.mean": [[1300, null]], "pandas.core.window.ewm.ExponentialMovingWindow.std": [[1301, null]], "pandas.core.window.ewm.ExponentialMovingWindow.sum": [[1302, null]], "pandas.core.window.ewm.ExponentialMovingWindow.var": [[1303, null]], "pandas.core.window.expanding.Expanding.aggregate": [[1304, null]], "pandas.core.window.expanding.Expanding.apply": [[1305, null]], "pandas.core.window.expanding.Expanding.corr": [[1306, null]], "pandas.core.window.expanding.Expanding.count": [[1307, null]], "pandas.core.window.expanding.Expanding.cov": [[1308, null]], "pandas.core.window.expanding.Expanding.kurt": [[1309, null]], "pandas.core.window.expanding.Expanding.max": [[1310, null]], "pandas.core.window.expanding.Expanding.mean": [[1311, null]], "pandas.core.window.expanding.Expanding.median": [[1312, null]], "pandas.core.window.expanding.Expanding.min": [[1313, null]], "pandas.core.window.expanding.Expanding.quantile": [[1314, null]], "pandas.core.window.expanding.Expanding.rank": [[1315, null]], "pandas.core.window.expanding.Expanding.sem": [[1316, null]], "pandas.core.window.expanding.Expanding.skew": [[1317, null]], "pandas.core.window.expanding.Expanding.std": [[1318, null]], "pandas.core.window.expanding.Expanding.sum": [[1319, null]], "pandas.core.window.expanding.Expanding.var": [[1320, null]], "pandas.core.window.rolling.Rolling.aggregate": [[1321, null]], "pandas.core.window.rolling.Rolling.apply": [[1322, null]], "pandas.core.window.rolling.Rolling.corr": [[1323, null]], "pandas.core.window.rolling.Rolling.count": [[1324, null]], "pandas.core.window.rolling.Rolling.cov": [[1325, null]], "pandas.core.window.rolling.Rolling.kurt": [[1326, null]], "pandas.core.window.rolling.Rolling.max": [[1327, null]], "pandas.core.window.rolling.Rolling.mean": [[1328, null]], "pandas.core.window.rolling.Rolling.median": [[1329, null]], "pandas.core.window.rolling.Rolling.min": [[1330, null]], "pandas.core.window.rolling.Rolling.quantile": [[1331, null]], "pandas.core.window.rolling.Rolling.rank": [[1332, null]], "pandas.core.window.rolling.Rolling.sem": [[1333, null]], "pandas.core.window.rolling.Rolling.skew": [[1334, null]], "pandas.core.window.rolling.Rolling.std": [[1335, null]], "pandas.core.window.rolling.Rolling.sum": [[1336, null]], "pandas.core.window.rolling.Rolling.var": [[1337, null]], "pandas.core.window.rolling.Window.mean": [[1338, null]], "pandas.core.window.rolling.Window.std": [[1339, null]], "pandas.core.window.rolling.Window.sum": [[1340, null]], "pandas.core.window.rolling.Window.var": [[1341, null]], "pandas.crosstab": [[1342, null]], "pandas.cut": [[1343, null]], "pandas.date_range": [[1344, null]], "pandas.describe_option": [[1345, null]], "pandas.errors": [[2235, "pandas-errors"]], "pandas.errors.AbstractMethodError": [[1346, null]], "pandas.errors.AttributeConflictWarning": [[1347, null]], "pandas.errors.CSSWarning": [[1348, null]], "pandas.errors.CategoricalConversionWarning": [[1349, null]], "pandas.errors.ChainedAssignmentError": [[1350, null]], "pandas.errors.ClosedFileError": [[1351, null]], "pandas.errors.DataError": [[1352, null]], "pandas.errors.DatabaseError": [[1353, null]], "pandas.errors.DtypeWarning": [[1354, null]], "pandas.errors.DuplicateLabelError": [[1355, null]], "pandas.errors.EmptyDataError": [[1356, null]], "pandas.errors.IncompatibilityWarning": [[1357, null]], "pandas.errors.IndexingError": [[1358, null]], "pandas.errors.IntCastingNaNError": [[1359, null]], "pandas.errors.InvalidColumnName": [[1360, null]], "pandas.errors.InvalidComparison": [[1361, null]], "pandas.errors.InvalidIndexError": [[1362, null]], "pandas.errors.InvalidVersion": [[1363, null]], "pandas.errors.LossySetitemError": [[1364, null]], "pandas.errors.MergeError": [[1365, null]], "pandas.errors.NoBufferPresent": [[1366, null]], "pandas.errors.NullFrequencyError": [[1367, null]], "pandas.errors.NumExprClobberingError": [[1368, null]], "pandas.errors.NumbaUtilError": [[1369, null]], "pandas.errors.OptionError": [[1370, null]], "pandas.errors.OutOfBoundsDatetime": [[1371, null]], "pandas.errors.OutOfBoundsTimedelta": [[1372, null]], "pandas.errors.ParserError": [[1373, null]], "pandas.errors.ParserWarning": [[1374, null]], "pandas.errors.PerformanceWarning": [[1375, null]], "pandas.errors.PossibleDataLossError": [[1376, null]], "pandas.errors.PossiblePrecisionLoss": [[1377, null]], "pandas.errors.PyperclipException": [[1378, null]], "pandas.errors.PyperclipWindowsException": [[1379, null]], "pandas.errors.SettingWithCopyError": [[1380, null]], "pandas.errors.SettingWithCopyWarning": [[1381, null]], "pandas.errors.SpecificationError": [[1382, null]], "pandas.errors.UndefinedVariableError": [[1383, null]], "pandas.errors.UnsortedIndexError": [[1384, null]], "pandas.errors.UnsupportedFunctionCall": [[1385, null]], "pandas.errors.ValueLabelTypeMismatch": [[1386, null]], "pandas.eval": [[1387, null]], "pandas.eval() engines": [[2193, "pandas-eval-engines"]], "pandas.eval() parsers": [[2193, "pandas-eval-parsers"]], "pandas.factorize": [[1388, null]], "pandas.from_dummies": [[1389, null]], "pandas.get_dummies": [[1390, null]], "pandas.get_option": [[1391, null]], "pandas.infer_freq": [[1392, null]], "pandas.interval_range": [[1393, null]], "pandas.io.formats.style.Styler": [[1394, null]], "pandas.io.formats.style.Styler.apply": [[1395, null]], "pandas.io.formats.style.Styler.apply_index": [[1396, null]], "pandas.io.formats.style.Styler.background_gradient": [[1397, null]], "pandas.io.formats.style.Styler.bar": [[1398, null]], "pandas.io.formats.style.Styler.clear": [[1399, null]], "pandas.io.formats.style.Styler.concat": [[1400, null]], "pandas.io.formats.style.Styler.env": [[1401, null]], "pandas.io.formats.style.Styler.export": [[1402, null]], "pandas.io.formats.style.Styler.format": [[1403, null]], "pandas.io.formats.style.Styler.format_index": [[1404, null]], "pandas.io.formats.style.Styler.from_custom_template": [[1405, null]], "pandas.io.formats.style.Styler.hide": [[1406, null]], "pandas.io.formats.style.Styler.highlight_between": [[1407, null]], "pandas.io.formats.style.Styler.highlight_max": [[1408, null]], "pandas.io.formats.style.Styler.highlight_min": [[1409, null]], "pandas.io.formats.style.Styler.highlight_null": [[1410, null]], "pandas.io.formats.style.Styler.highlight_quantile": [[1411, null]], "pandas.io.formats.style.Styler.loader": [[1412, null]], "pandas.io.formats.style.Styler.map": [[1413, null]], "pandas.io.formats.style.Styler.map_index": [[1414, null]], "pandas.io.formats.style.Styler.pipe": [[1415, null]], "pandas.io.formats.style.Styler.relabel_index": [[1416, null]], "pandas.io.formats.style.Styler.set_caption": [[1417, null]], "pandas.io.formats.style.Styler.set_properties": [[1418, null]], "pandas.io.formats.style.Styler.set_sticky": [[1419, null]], "pandas.io.formats.style.Styler.set_table_attributes": [[1420, null]], "pandas.io.formats.style.Styler.set_table_styles": [[1421, null]], "pandas.io.formats.style.Styler.set_td_classes": [[1422, null]], "pandas.io.formats.style.Styler.set_tooltips": [[1423, null]], "pandas.io.formats.style.Styler.set_uuid": [[1424, null]], "pandas.io.formats.style.Styler.template_html": [[1425, null]], "pandas.io.formats.style.Styler.template_html_style": [[1426, null]], "pandas.io.formats.style.Styler.template_html_table": [[1427, null]], "pandas.io.formats.style.Styler.template_latex": [[1428, null]], "pandas.io.formats.style.Styler.template_string": [[1429, null]], "pandas.io.formats.style.Styler.text_gradient": [[1430, null]], "pandas.io.formats.style.Styler.to_excel": [[1431, null]], "pandas.io.formats.style.Styler.to_html": [[1432, null]], "pandas.io.formats.style.Styler.to_latex": [[1433, null]], "pandas.io.formats.style.Styler.to_string": [[1434, null]], "pandas.io.formats.style.Styler.use": [[1435, null]], "pandas.io.json.build_table_schema": [[1436, null]], "pandas.io.stata.StataReader.data_label": [[1437, null]], "pandas.io.stata.StataReader.value_labels": [[1438, null]], "pandas.io.stata.StataReader.variable_labels": [[1439, null]], "pandas.io.stata.StataWriter.write_file": [[1440, null]], "pandas.isna": [[1441, null]], "pandas.isnull": [[1442, null]], "pandas.json_normalize": [[1443, null]], "pandas.lreshape": [[1444, null]], "pandas.melt": [[1445, null]], "pandas.merge": [[1446, null]], "pandas.merge_asof": [[1447, null]], "pandas.merge_ordered": [[1448, null]], "pandas.notna": [[1449, null]], "pandas.notnull": [[1450, null]], "pandas.option_context": [[1451, null]], "pandas.period_range": [[1452, null]], "pandas.pivot": [[1453, null]], "pandas.pivot_table": [[1454, null]], "pandas.plotting": [[2235, "pandas-plotting"]], "pandas.plotting.andrews_curves": [[1455, null]], "pandas.plotting.autocorrelation_plot": [[1456, null]], "pandas.plotting.bootstrap_plot": [[1457, null]], "pandas.plotting.boxplot": [[1458, null]], "pandas.plotting.deregister_matplotlib_converters": [[1459, null]], "pandas.plotting.lag_plot": [[1460, null]], "pandas.plotting.parallel_coordinates": [[1461, null]], "pandas.plotting.plot_params": [[1462, null]], "pandas.plotting.radviz": [[1463, null]], "pandas.plotting.register_matplotlib_converters": [[1464, null]], "pandas.plotting.scatter_matrix": [[1465, null]], "pandas.plotting.table": [[1466, null]], "pandas.qcut": [[1467, null]], "pandas.read_clipboard": [[1468, null]], "pandas.read_csv": [[1469, null]], "pandas.read_excel": [[1470, null]], "pandas.read_feather": [[1471, null]], "pandas.read_fwf": [[1472, null]], "pandas.read_gbq": [[1473, null]], "pandas.read_hdf": [[1474, null]], "pandas.read_html": [[1475, null]], "pandas.read_json": [[1476, null]], "pandas.read_orc": [[1477, null]], "pandas.read_parquet": [[1478, null]], "pandas.read_pickle": [[1479, null]], "pandas.read_sas": [[1480, null]], "pandas.read_spss": [[1481, null]], "pandas.read_sql": [[1482, null]], "pandas.read_sql_query": [[1483, null]], "pandas.read_sql_table": [[1484, null]], "pandas.read_stata": [[1485, null]], "pandas.read_table": [[1486, null]], "pandas.read_xml": [[1487, null]], "pandas.reset_option": [[1488, null]], "pandas.set_eng_float_format": [[1489, null]], "pandas.set_option": [[1490, null]], "pandas.show_versions": [[1491, null]], "pandas.test": [[1492, null]], "pandas.testing": [[2235, "pandas-testing"]], "pandas.testing.assert_extension_array_equal": [[1493, null]], "pandas.testing.assert_frame_equal": [[1494, null]], "pandas.testing.assert_index_equal": [[1495, null]], "pandas.testing.assert_series_equal": [[1496, null]], "pandas.timedelta_range": [[1497, null]], "pandas.to_datetime": [[1498, null]], "pandas.to_numeric": [[1499, null]], "pandas.to_timedelta": [[1500, null]], "pandas.tseries.api.guess_datetime_format": [[1501, null]], "pandas.tseries.frequencies.to_offset": [[1502, null]], "pandas.tseries.offsets.BDay": [[1503, null]], "pandas.tseries.offsets.BMonthBegin": [[1504, null]], "pandas.tseries.offsets.BMonthEnd": [[1505, null]], "pandas.tseries.offsets.BQuarterBegin": [[1506, null]], "pandas.tseries.offsets.BQuarterBegin.copy": [[1507, null]], "pandas.tseries.offsets.BQuarterBegin.freqstr": [[1508, null]], "pandas.tseries.offsets.BQuarterBegin.is_anchored": [[1509, null]], "pandas.tseries.offsets.BQuarterBegin.is_month_end": [[1510, null]], "pandas.tseries.offsets.BQuarterBegin.is_month_start": [[1511, null]], "pandas.tseries.offsets.BQuarterBegin.is_on_offset": [[1512, null]], "pandas.tseries.offsets.BQuarterBegin.is_quarter_end": [[1513, null]], "pandas.tseries.offsets.BQuarterBegin.is_quarter_start": [[1514, null]], "pandas.tseries.offsets.BQuarterBegin.is_year_end": [[1515, null]], "pandas.tseries.offsets.BQuarterBegin.is_year_start": [[1516, null]], "pandas.tseries.offsets.BQuarterBegin.kwds": [[1517, null]], "pandas.tseries.offsets.BQuarterBegin.n": [[1518, null]], "pandas.tseries.offsets.BQuarterBegin.name": [[1519, null]], "pandas.tseries.offsets.BQuarterBegin.nanos": [[1520, null]], "pandas.tseries.offsets.BQuarterBegin.normalize": [[1521, null]], "pandas.tseries.offsets.BQuarterBegin.rule_code": [[1522, null]], "pandas.tseries.offsets.BQuarterBegin.startingMonth": [[1523, null]], "pandas.tseries.offsets.BQuarterEnd": [[1524, null]], "pandas.tseries.offsets.BQuarterEnd.copy": [[1525, null]], "pandas.tseries.offsets.BQuarterEnd.freqstr": [[1526, null]], "pandas.tseries.offsets.BQuarterEnd.is_anchored": [[1527, null]], "pandas.tseries.offsets.BQuarterEnd.is_month_end": [[1528, null]], "pandas.tseries.offsets.BQuarterEnd.is_month_start": [[1529, null]], "pandas.tseries.offsets.BQuarterEnd.is_on_offset": [[1530, null]], "pandas.tseries.offsets.BQuarterEnd.is_quarter_end": [[1531, null]], "pandas.tseries.offsets.BQuarterEnd.is_quarter_start": [[1532, null]], "pandas.tseries.offsets.BQuarterEnd.is_year_end": [[1533, null]], "pandas.tseries.offsets.BQuarterEnd.is_year_start": [[1534, null]], "pandas.tseries.offsets.BQuarterEnd.kwds": [[1535, null]], "pandas.tseries.offsets.BQuarterEnd.n": [[1536, null]], "pandas.tseries.offsets.BQuarterEnd.name": [[1537, null]], "pandas.tseries.offsets.BQuarterEnd.nanos": [[1538, null]], "pandas.tseries.offsets.BQuarterEnd.normalize": [[1539, null]], "pandas.tseries.offsets.BQuarterEnd.rule_code": [[1540, null]], "pandas.tseries.offsets.BQuarterEnd.startingMonth": [[1541, null]], "pandas.tseries.offsets.BYearBegin": [[1542, null]], "pandas.tseries.offsets.BYearBegin.copy": [[1543, null]], "pandas.tseries.offsets.BYearBegin.freqstr": [[1544, null]], "pandas.tseries.offsets.BYearBegin.is_anchored": [[1545, null]], "pandas.tseries.offsets.BYearBegin.is_month_end": [[1546, null]], "pandas.tseries.offsets.BYearBegin.is_month_start": [[1547, null]], "pandas.tseries.offsets.BYearBegin.is_on_offset": [[1548, null]], "pandas.tseries.offsets.BYearBegin.is_quarter_end": [[1549, null]], "pandas.tseries.offsets.BYearBegin.is_quarter_start": [[1550, null]], "pandas.tseries.offsets.BYearBegin.is_year_end": [[1551, null]], "pandas.tseries.offsets.BYearBegin.is_year_start": [[1552, null]], "pandas.tseries.offsets.BYearBegin.kwds": [[1553, null]], "pandas.tseries.offsets.BYearBegin.month": [[1554, null]], "pandas.tseries.offsets.BYearBegin.n": [[1555, null]], "pandas.tseries.offsets.BYearBegin.name": [[1556, null]], "pandas.tseries.offsets.BYearBegin.nanos": [[1557, null]], "pandas.tseries.offsets.BYearBegin.normalize": [[1558, null]], "pandas.tseries.offsets.BYearBegin.rule_code": [[1559, null]], "pandas.tseries.offsets.BYearEnd": [[1560, null]], "pandas.tseries.offsets.BYearEnd.copy": [[1561, null]], "pandas.tseries.offsets.BYearEnd.freqstr": [[1562, null]], "pandas.tseries.offsets.BYearEnd.is_anchored": [[1563, null]], "pandas.tseries.offsets.BYearEnd.is_month_end": [[1564, null]], "pandas.tseries.offsets.BYearEnd.is_month_start": [[1565, null]], "pandas.tseries.offsets.BYearEnd.is_on_offset": [[1566, null]], "pandas.tseries.offsets.BYearEnd.is_quarter_end": [[1567, null]], "pandas.tseries.offsets.BYearEnd.is_quarter_start": [[1568, null]], "pandas.tseries.offsets.BYearEnd.is_year_end": [[1569, null]], "pandas.tseries.offsets.BYearEnd.is_year_start": [[1570, null]], "pandas.tseries.offsets.BYearEnd.kwds": [[1571, null]], "pandas.tseries.offsets.BYearEnd.month": [[1572, null]], "pandas.tseries.offsets.BYearEnd.n": [[1573, null]], "pandas.tseries.offsets.BYearEnd.name": [[1574, null]], "pandas.tseries.offsets.BYearEnd.nanos": [[1575, null]], "pandas.tseries.offsets.BYearEnd.normalize": [[1576, null]], "pandas.tseries.offsets.BYearEnd.rule_code": [[1577, null]], "pandas.tseries.offsets.BusinessDay": [[1578, null]], "pandas.tseries.offsets.BusinessDay.calendar": [[1579, null]], "pandas.tseries.offsets.BusinessDay.copy": [[1580, null]], "pandas.tseries.offsets.BusinessDay.freqstr": [[1581, null]], "pandas.tseries.offsets.BusinessDay.holidays": [[1582, null]], "pandas.tseries.offsets.BusinessDay.is_anchored": [[1583, null]], "pandas.tseries.offsets.BusinessDay.is_month_end": [[1584, null]], "pandas.tseries.offsets.BusinessDay.is_month_start": [[1585, null]], "pandas.tseries.offsets.BusinessDay.is_on_offset": [[1586, null]], "pandas.tseries.offsets.BusinessDay.is_quarter_end": [[1587, null]], "pandas.tseries.offsets.BusinessDay.is_quarter_start": [[1588, null]], "pandas.tseries.offsets.BusinessDay.is_year_end": [[1589, null]], "pandas.tseries.offsets.BusinessDay.is_year_start": [[1590, null]], "pandas.tseries.offsets.BusinessDay.kwds": [[1591, null]], "pandas.tseries.offsets.BusinessDay.n": [[1592, null]], "pandas.tseries.offsets.BusinessDay.name": [[1593, null]], "pandas.tseries.offsets.BusinessDay.nanos": [[1594, null]], "pandas.tseries.offsets.BusinessDay.normalize": [[1595, null]], "pandas.tseries.offsets.BusinessDay.rule_code": [[1596, null]], "pandas.tseries.offsets.BusinessDay.weekmask": [[1597, null]], "pandas.tseries.offsets.BusinessHour": [[1598, null]], "pandas.tseries.offsets.BusinessHour.calendar": [[1599, null]], "pandas.tseries.offsets.BusinessHour.copy": [[1600, null]], "pandas.tseries.offsets.BusinessHour.end": [[1601, null]], "pandas.tseries.offsets.BusinessHour.freqstr": [[1602, null]], "pandas.tseries.offsets.BusinessHour.holidays": [[1603, null]], "pandas.tseries.offsets.BusinessHour.is_anchored": [[1604, null]], "pandas.tseries.offsets.BusinessHour.is_month_end": [[1605, null]], "pandas.tseries.offsets.BusinessHour.is_month_start": [[1606, null]], "pandas.tseries.offsets.BusinessHour.is_on_offset": [[1607, null]], "pandas.tseries.offsets.BusinessHour.is_quarter_end": [[1608, null]], "pandas.tseries.offsets.BusinessHour.is_quarter_start": [[1609, null]], "pandas.tseries.offsets.BusinessHour.is_year_end": [[1610, null]], "pandas.tseries.offsets.BusinessHour.is_year_start": [[1611, null]], "pandas.tseries.offsets.BusinessHour.kwds": [[1612, null]], "pandas.tseries.offsets.BusinessHour.n": [[1613, null]], "pandas.tseries.offsets.BusinessHour.name": [[1614, null]], "pandas.tseries.offsets.BusinessHour.nanos": [[1615, null]], "pandas.tseries.offsets.BusinessHour.normalize": [[1616, null]], "pandas.tseries.offsets.BusinessHour.rule_code": [[1617, null]], "pandas.tseries.offsets.BusinessHour.start": [[1618, null]], "pandas.tseries.offsets.BusinessHour.weekmask": [[1619, null]], "pandas.tseries.offsets.BusinessMonthBegin": [[1620, null]], "pandas.tseries.offsets.BusinessMonthBegin.copy": [[1621, null]], "pandas.tseries.offsets.BusinessMonthBegin.freqstr": [[1622, null]], "pandas.tseries.offsets.BusinessMonthBegin.is_anchored": [[1623, null]], "pandas.tseries.offsets.BusinessMonthBegin.is_month_end": [[1624, null]], "pandas.tseries.offsets.BusinessMonthBegin.is_month_start": [[1625, null]], "pandas.tseries.offsets.BusinessMonthBegin.is_on_offset": [[1626, null]], "pandas.tseries.offsets.BusinessMonthBegin.is_quarter_end": [[1627, null]], "pandas.tseries.offsets.BusinessMonthBegin.is_quarter_start": [[1628, null]], "pandas.tseries.offsets.BusinessMonthBegin.is_year_end": [[1629, null]], "pandas.tseries.offsets.BusinessMonthBegin.is_year_start": [[1630, null]], "pandas.tseries.offsets.BusinessMonthBegin.kwds": [[1631, null]], "pandas.tseries.offsets.BusinessMonthBegin.n": [[1632, null]], "pandas.tseries.offsets.BusinessMonthBegin.name": [[1633, null]], "pandas.tseries.offsets.BusinessMonthBegin.nanos": [[1634, null]], "pandas.tseries.offsets.BusinessMonthBegin.normalize": [[1635, null]], "pandas.tseries.offsets.BusinessMonthBegin.rule_code": [[1636, null]], "pandas.tseries.offsets.BusinessMonthEnd": [[1637, null]], "pandas.tseries.offsets.BusinessMonthEnd.copy": [[1638, null]], "pandas.tseries.offsets.BusinessMonthEnd.freqstr": [[1639, null]], "pandas.tseries.offsets.BusinessMonthEnd.is_anchored": [[1640, null]], "pandas.tseries.offsets.BusinessMonthEnd.is_month_end": [[1641, null]], "pandas.tseries.offsets.BusinessMonthEnd.is_month_start": [[1642, null]], "pandas.tseries.offsets.BusinessMonthEnd.is_on_offset": [[1643, null]], "pandas.tseries.offsets.BusinessMonthEnd.is_quarter_end": [[1644, null]], "pandas.tseries.offsets.BusinessMonthEnd.is_quarter_start": [[1645, null]], "pandas.tseries.offsets.BusinessMonthEnd.is_year_end": [[1646, null]], "pandas.tseries.offsets.BusinessMonthEnd.is_year_start": [[1647, null]], "pandas.tseries.offsets.BusinessMonthEnd.kwds": [[1648, null]], "pandas.tseries.offsets.BusinessMonthEnd.n": [[1649, null]], "pandas.tseries.offsets.BusinessMonthEnd.name": [[1650, null]], "pandas.tseries.offsets.BusinessMonthEnd.nanos": [[1651, null]], "pandas.tseries.offsets.BusinessMonthEnd.normalize": [[1652, null]], "pandas.tseries.offsets.BusinessMonthEnd.rule_code": [[1653, null]], "pandas.tseries.offsets.CBMonthBegin": [[1654, null]], "pandas.tseries.offsets.CBMonthEnd": [[1655, null]], "pandas.tseries.offsets.CDay": [[1656, null]], "pandas.tseries.offsets.CustomBusinessDay": [[1657, null]], "pandas.tseries.offsets.CustomBusinessDay.calendar": [[1658, null]], "pandas.tseries.offsets.CustomBusinessDay.copy": [[1659, null]], "pandas.tseries.offsets.CustomBusinessDay.freqstr": [[1660, null]], "pandas.tseries.offsets.CustomBusinessDay.holidays": [[1661, null]], "pandas.tseries.offsets.CustomBusinessDay.is_anchored": [[1662, null]], "pandas.tseries.offsets.CustomBusinessDay.is_month_end": [[1663, null]], "pandas.tseries.offsets.CustomBusinessDay.is_month_start": [[1664, null]], "pandas.tseries.offsets.CustomBusinessDay.is_on_offset": [[1665, null]], "pandas.tseries.offsets.CustomBusinessDay.is_quarter_end": [[1666, null]], "pandas.tseries.offsets.CustomBusinessDay.is_quarter_start": [[1667, null]], "pandas.tseries.offsets.CustomBusinessDay.is_year_end": [[1668, null]], "pandas.tseries.offsets.CustomBusinessDay.is_year_start": [[1669, null]], "pandas.tseries.offsets.CustomBusinessDay.kwds": [[1670, null]], "pandas.tseries.offsets.CustomBusinessDay.n": [[1671, null]], "pandas.tseries.offsets.CustomBusinessDay.name": [[1672, null]], "pandas.tseries.offsets.CustomBusinessDay.nanos": [[1673, null]], "pandas.tseries.offsets.CustomBusinessDay.normalize": [[1674, null]], "pandas.tseries.offsets.CustomBusinessDay.rule_code": [[1675, null]], "pandas.tseries.offsets.CustomBusinessDay.weekmask": [[1676, null]], "pandas.tseries.offsets.CustomBusinessHour": [[1677, null]], "pandas.tseries.offsets.CustomBusinessHour.calendar": [[1678, null]], "pandas.tseries.offsets.CustomBusinessHour.copy": [[1679, null]], "pandas.tseries.offsets.CustomBusinessHour.end": [[1680, null]], "pandas.tseries.offsets.CustomBusinessHour.freqstr": [[1681, null]], "pandas.tseries.offsets.CustomBusinessHour.holidays": [[1682, null]], "pandas.tseries.offsets.CustomBusinessHour.is_anchored": [[1683, null]], "pandas.tseries.offsets.CustomBusinessHour.is_month_end": [[1684, null]], "pandas.tseries.offsets.CustomBusinessHour.is_month_start": [[1685, null]], "pandas.tseries.offsets.CustomBusinessHour.is_on_offset": [[1686, null]], "pandas.tseries.offsets.CustomBusinessHour.is_quarter_end": [[1687, null]], "pandas.tseries.offsets.CustomBusinessHour.is_quarter_start": [[1688, null]], "pandas.tseries.offsets.CustomBusinessHour.is_year_end": [[1689, null]], "pandas.tseries.offsets.CustomBusinessHour.is_year_start": [[1690, null]], "pandas.tseries.offsets.CustomBusinessHour.kwds": [[1691, null]], "pandas.tseries.offsets.CustomBusinessHour.n": [[1692, null]], "pandas.tseries.offsets.CustomBusinessHour.name": [[1693, null]], "pandas.tseries.offsets.CustomBusinessHour.nanos": [[1694, null]], "pandas.tseries.offsets.CustomBusinessHour.normalize": [[1695, null]], "pandas.tseries.offsets.CustomBusinessHour.rule_code": [[1696, null]], "pandas.tseries.offsets.CustomBusinessHour.start": [[1697, null]], "pandas.tseries.offsets.CustomBusinessHour.weekmask": [[1698, null]], "pandas.tseries.offsets.CustomBusinessMonthBegin": [[1699, null]], "pandas.tseries.offsets.CustomBusinessMonthBegin.calendar": [[1700, null]], "pandas.tseries.offsets.CustomBusinessMonthBegin.copy": [[1701, null]], "pandas.tseries.offsets.CustomBusinessMonthBegin.freqstr": [[1702, null]], "pandas.tseries.offsets.CustomBusinessMonthBegin.holidays": [[1703, null]], "pandas.tseries.offsets.CustomBusinessMonthBegin.is_anchored": [[1704, null]], "pandas.tseries.offsets.CustomBusinessMonthBegin.is_month_end": [[1705, null]], "pandas.tseries.offsets.CustomBusinessMonthBegin.is_month_start": [[1706, null]], "pandas.tseries.offsets.CustomBusinessMonthBegin.is_on_offset": [[1707, null]], "pandas.tseries.offsets.CustomBusinessMonthBegin.is_quarter_end": [[1708, null]], "pandas.tseries.offsets.CustomBusinessMonthBegin.is_quarter_start": [[1709, null]], "pandas.tseries.offsets.CustomBusinessMonthBegin.is_year_end": [[1710, null]], "pandas.tseries.offsets.CustomBusinessMonthBegin.is_year_start": [[1711, null]], "pandas.tseries.offsets.CustomBusinessMonthBegin.kwds": [[1712, null]], "pandas.tseries.offsets.CustomBusinessMonthBegin.m_offset": [[1713, null]], "pandas.tseries.offsets.CustomBusinessMonthBegin.n": [[1714, null]], "pandas.tseries.offsets.CustomBusinessMonthBegin.name": [[1715, null]], "pandas.tseries.offsets.CustomBusinessMonthBegin.nanos": [[1716, null]], "pandas.tseries.offsets.CustomBusinessMonthBegin.normalize": [[1717, null]], "pandas.tseries.offsets.CustomBusinessMonthBegin.rule_code": [[1718, null]], "pandas.tseries.offsets.CustomBusinessMonthBegin.weekmask": [[1719, null]], "pandas.tseries.offsets.CustomBusinessMonthEnd": [[1720, null]], "pandas.tseries.offsets.CustomBusinessMonthEnd.calendar": [[1721, null]], "pandas.tseries.offsets.CustomBusinessMonthEnd.copy": [[1722, null]], "pandas.tseries.offsets.CustomBusinessMonthEnd.freqstr": [[1723, null]], "pandas.tseries.offsets.CustomBusinessMonthEnd.holidays": [[1724, null]], "pandas.tseries.offsets.CustomBusinessMonthEnd.is_anchored": [[1725, null]], "pandas.tseries.offsets.CustomBusinessMonthEnd.is_month_end": [[1726, null]], "pandas.tseries.offsets.CustomBusinessMonthEnd.is_month_start": [[1727, null]], "pandas.tseries.offsets.CustomBusinessMonthEnd.is_on_offset": [[1728, null]], "pandas.tseries.offsets.CustomBusinessMonthEnd.is_quarter_end": [[1729, null]], "pandas.tseries.offsets.CustomBusinessMonthEnd.is_quarter_start": [[1730, null]], "pandas.tseries.offsets.CustomBusinessMonthEnd.is_year_end": [[1731, null]], "pandas.tseries.offsets.CustomBusinessMonthEnd.is_year_start": [[1732, null]], "pandas.tseries.offsets.CustomBusinessMonthEnd.kwds": [[1733, null]], "pandas.tseries.offsets.CustomBusinessMonthEnd.m_offset": [[1734, null]], "pandas.tseries.offsets.CustomBusinessMonthEnd.n": [[1735, null]], "pandas.tseries.offsets.CustomBusinessMonthEnd.name": [[1736, null]], "pandas.tseries.offsets.CustomBusinessMonthEnd.nanos": [[1737, null]], "pandas.tseries.offsets.CustomBusinessMonthEnd.normalize": [[1738, null]], "pandas.tseries.offsets.CustomBusinessMonthEnd.rule_code": [[1739, null]], "pandas.tseries.offsets.CustomBusinessMonthEnd.weekmask": [[1740, null]], "pandas.tseries.offsets.DateOffset": [[1741, null]], "pandas.tseries.offsets.DateOffset.copy": [[1742, null]], "pandas.tseries.offsets.DateOffset.freqstr": [[1743, null]], "pandas.tseries.offsets.DateOffset.is_anchored": [[1744, null]], "pandas.tseries.offsets.DateOffset.is_month_end": [[1745, null]], "pandas.tseries.offsets.DateOffset.is_month_start": [[1746, null]], "pandas.tseries.offsets.DateOffset.is_on_offset": [[1747, null]], "pandas.tseries.offsets.DateOffset.is_quarter_end": [[1748, null]], "pandas.tseries.offsets.DateOffset.is_quarter_start": [[1749, null]], "pandas.tseries.offsets.DateOffset.is_year_end": [[1750, null]], "pandas.tseries.offsets.DateOffset.is_year_start": [[1751, null]], "pandas.tseries.offsets.DateOffset.kwds": [[1752, null]], "pandas.tseries.offsets.DateOffset.n": [[1753, null]], "pandas.tseries.offsets.DateOffset.name": [[1754, null]], "pandas.tseries.offsets.DateOffset.nanos": [[1755, null]], "pandas.tseries.offsets.DateOffset.normalize": [[1756, null]], "pandas.tseries.offsets.DateOffset.rule_code": [[1757, null]], "pandas.tseries.offsets.Day": [[1758, null]], "pandas.tseries.offsets.Day.copy": [[1759, null]], "pandas.tseries.offsets.Day.delta": [[1760, null]], "pandas.tseries.offsets.Day.freqstr": [[1761, null]], "pandas.tseries.offsets.Day.is_anchored": [[1762, null]], "pandas.tseries.offsets.Day.is_month_end": [[1763, null]], "pandas.tseries.offsets.Day.is_month_start": [[1764, null]], "pandas.tseries.offsets.Day.is_on_offset": [[1765, null]], "pandas.tseries.offsets.Day.is_quarter_end": [[1766, null]], "pandas.tseries.offsets.Day.is_quarter_start": [[1767, null]], "pandas.tseries.offsets.Day.is_year_end": [[1768, null]], "pandas.tseries.offsets.Day.is_year_start": [[1769, null]], "pandas.tseries.offsets.Day.kwds": [[1770, null]], "pandas.tseries.offsets.Day.n": [[1771, null]], "pandas.tseries.offsets.Day.name": [[1772, null]], "pandas.tseries.offsets.Day.nanos": [[1773, null]], "pandas.tseries.offsets.Day.normalize": [[1774, null]], "pandas.tseries.offsets.Day.rule_code": [[1775, null]], "pandas.tseries.offsets.Easter": [[1776, null]], "pandas.tseries.offsets.Easter.copy": [[1777, null]], "pandas.tseries.offsets.Easter.freqstr": [[1778, null]], "pandas.tseries.offsets.Easter.is_anchored": [[1779, null]], "pandas.tseries.offsets.Easter.is_month_end": [[1780, null]], "pandas.tseries.offsets.Easter.is_month_start": [[1781, null]], "pandas.tseries.offsets.Easter.is_on_offset": [[1782, null]], "pandas.tseries.offsets.Easter.is_quarter_end": [[1783, null]], "pandas.tseries.offsets.Easter.is_quarter_start": [[1784, null]], "pandas.tseries.offsets.Easter.is_year_end": [[1785, null]], "pandas.tseries.offsets.Easter.is_year_start": [[1786, null]], "pandas.tseries.offsets.Easter.kwds": [[1787, null]], "pandas.tseries.offsets.Easter.n": [[1788, null]], "pandas.tseries.offsets.Easter.name": [[1789, null]], "pandas.tseries.offsets.Easter.nanos": [[1790, null]], "pandas.tseries.offsets.Easter.normalize": [[1791, null]], "pandas.tseries.offsets.Easter.rule_code": [[1792, null]], "pandas.tseries.offsets.FY5253": [[1793, null]], "pandas.tseries.offsets.FY5253.copy": [[1794, null]], "pandas.tseries.offsets.FY5253.freqstr": [[1795, null]], "pandas.tseries.offsets.FY5253.get_rule_code_suffix": [[1796, null]], "pandas.tseries.offsets.FY5253.get_year_end": [[1797, null]], "pandas.tseries.offsets.FY5253.is_anchored": [[1798, null]], "pandas.tseries.offsets.FY5253.is_month_end": [[1799, null]], "pandas.tseries.offsets.FY5253.is_month_start": [[1800, null]], "pandas.tseries.offsets.FY5253.is_on_offset": [[1801, null]], "pandas.tseries.offsets.FY5253.is_quarter_end": [[1802, null]], "pandas.tseries.offsets.FY5253.is_quarter_start": [[1803, null]], "pandas.tseries.offsets.FY5253.is_year_end": [[1804, null]], "pandas.tseries.offsets.FY5253.is_year_start": [[1805, null]], "pandas.tseries.offsets.FY5253.kwds": [[1806, null]], "pandas.tseries.offsets.FY5253.n": [[1807, null]], "pandas.tseries.offsets.FY5253.name": [[1808, null]], "pandas.tseries.offsets.FY5253.nanos": [[1809, null]], "pandas.tseries.offsets.FY5253.normalize": [[1810, null]], "pandas.tseries.offsets.FY5253.rule_code": [[1811, null]], "pandas.tseries.offsets.FY5253.startingMonth": [[1812, null]], "pandas.tseries.offsets.FY5253.variation": [[1813, null]], "pandas.tseries.offsets.FY5253.weekday": [[1814, null]], "pandas.tseries.offsets.FY5253Quarter": [[1815, null]], "pandas.tseries.offsets.FY5253Quarter.copy": [[1816, null]], "pandas.tseries.offsets.FY5253Quarter.freqstr": [[1817, null]], "pandas.tseries.offsets.FY5253Quarter.get_rule_code_suffix": [[1818, null]], "pandas.tseries.offsets.FY5253Quarter.get_weeks": [[1819, null]], "pandas.tseries.offsets.FY5253Quarter.is_anchored": [[1820, null]], "pandas.tseries.offsets.FY5253Quarter.is_month_end": [[1821, null]], "pandas.tseries.offsets.FY5253Quarter.is_month_start": [[1822, null]], "pandas.tseries.offsets.FY5253Quarter.is_on_offset": [[1823, null]], "pandas.tseries.offsets.FY5253Quarter.is_quarter_end": [[1824, null]], "pandas.tseries.offsets.FY5253Quarter.is_quarter_start": [[1825, null]], "pandas.tseries.offsets.FY5253Quarter.is_year_end": [[1826, null]], "pandas.tseries.offsets.FY5253Quarter.is_year_start": [[1827, null]], "pandas.tseries.offsets.FY5253Quarter.kwds": [[1828, null]], "pandas.tseries.offsets.FY5253Quarter.n": [[1829, null]], "pandas.tseries.offsets.FY5253Quarter.name": [[1830, null]], "pandas.tseries.offsets.FY5253Quarter.nanos": [[1831, null]], "pandas.tseries.offsets.FY5253Quarter.normalize": [[1832, null]], "pandas.tseries.offsets.FY5253Quarter.qtr_with_extra_week": [[1833, null]], "pandas.tseries.offsets.FY5253Quarter.rule_code": [[1834, null]], "pandas.tseries.offsets.FY5253Quarter.startingMonth": [[1835, null]], "pandas.tseries.offsets.FY5253Quarter.variation": [[1836, null]], "pandas.tseries.offsets.FY5253Quarter.weekday": [[1837, null]], "pandas.tseries.offsets.FY5253Quarter.year_has_extra_week": [[1838, null]], "pandas.tseries.offsets.Hour": [[1839, null]], "pandas.tseries.offsets.Hour.copy": [[1840, null]], "pandas.tseries.offsets.Hour.delta": [[1841, null]], "pandas.tseries.offsets.Hour.freqstr": [[1842, null]], "pandas.tseries.offsets.Hour.is_anchored": [[1843, null]], "pandas.tseries.offsets.Hour.is_month_end": [[1844, null]], "pandas.tseries.offsets.Hour.is_month_start": [[1845, null]], "pandas.tseries.offsets.Hour.is_on_offset": [[1846, null]], "pandas.tseries.offsets.Hour.is_quarter_end": [[1847, null]], "pandas.tseries.offsets.Hour.is_quarter_start": [[1848, null]], "pandas.tseries.offsets.Hour.is_year_end": [[1849, null]], "pandas.tseries.offsets.Hour.is_year_start": [[1850, null]], "pandas.tseries.offsets.Hour.kwds": [[1851, null]], "pandas.tseries.offsets.Hour.n": [[1852, null]], "pandas.tseries.offsets.Hour.name": [[1853, null]], "pandas.tseries.offsets.Hour.nanos": [[1854, null]], "pandas.tseries.offsets.Hour.normalize": [[1855, null]], "pandas.tseries.offsets.Hour.rule_code": [[1856, null]], "pandas.tseries.offsets.LastWeekOfMonth": [[1857, null]], "pandas.tseries.offsets.LastWeekOfMonth.copy": [[1858, null]], "pandas.tseries.offsets.LastWeekOfMonth.freqstr": [[1859, null]], "pandas.tseries.offsets.LastWeekOfMonth.is_anchored": [[1860, null]], "pandas.tseries.offsets.LastWeekOfMonth.is_month_end": [[1861, null]], "pandas.tseries.offsets.LastWeekOfMonth.is_month_start": [[1862, null]], "pandas.tseries.offsets.LastWeekOfMonth.is_on_offset": [[1863, null]], "pandas.tseries.offsets.LastWeekOfMonth.is_quarter_end": [[1864, null]], "pandas.tseries.offsets.LastWeekOfMonth.is_quarter_start": [[1865, null]], "pandas.tseries.offsets.LastWeekOfMonth.is_year_end": [[1866, null]], "pandas.tseries.offsets.LastWeekOfMonth.is_year_start": [[1867, null]], "pandas.tseries.offsets.LastWeekOfMonth.kwds": [[1868, null]], "pandas.tseries.offsets.LastWeekOfMonth.n": [[1869, null]], "pandas.tseries.offsets.LastWeekOfMonth.name": [[1870, null]], "pandas.tseries.offsets.LastWeekOfMonth.nanos": [[1871, null]], "pandas.tseries.offsets.LastWeekOfMonth.normalize": [[1872, null]], "pandas.tseries.offsets.LastWeekOfMonth.rule_code": [[1873, null]], "pandas.tseries.offsets.LastWeekOfMonth.week": [[1874, null]], "pandas.tseries.offsets.LastWeekOfMonth.weekday": [[1875, null]], "pandas.tseries.offsets.Micro": [[1876, null]], "pandas.tseries.offsets.Micro.copy": [[1877, null]], "pandas.tseries.offsets.Micro.delta": [[1878, null]], "pandas.tseries.offsets.Micro.freqstr": [[1879, null]], "pandas.tseries.offsets.Micro.is_anchored": [[1880, null]], "pandas.tseries.offsets.Micro.is_month_end": [[1881, null]], "pandas.tseries.offsets.Micro.is_month_start": [[1882, null]], "pandas.tseries.offsets.Micro.is_on_offset": [[1883, null]], "pandas.tseries.offsets.Micro.is_quarter_end": [[1884, null]], "pandas.tseries.offsets.Micro.is_quarter_start": [[1885, null]], "pandas.tseries.offsets.Micro.is_year_end": [[1886, null]], "pandas.tseries.offsets.Micro.is_year_start": [[1887, null]], "pandas.tseries.offsets.Micro.kwds": [[1888, null]], "pandas.tseries.offsets.Micro.n": [[1889, null]], "pandas.tseries.offsets.Micro.name": [[1890, null]], "pandas.tseries.offsets.Micro.nanos": [[1891, null]], "pandas.tseries.offsets.Micro.normalize": [[1892, null]], "pandas.tseries.offsets.Micro.rule_code": [[1893, null]], "pandas.tseries.offsets.Milli": [[1894, null]], "pandas.tseries.offsets.Milli.copy": [[1895, null]], "pandas.tseries.offsets.Milli.delta": [[1896, null]], "pandas.tseries.offsets.Milli.freqstr": [[1897, null]], "pandas.tseries.offsets.Milli.is_anchored": [[1898, null]], "pandas.tseries.offsets.Milli.is_month_end": [[1899, null]], "pandas.tseries.offsets.Milli.is_month_start": [[1900, null]], "pandas.tseries.offsets.Milli.is_on_offset": [[1901, null]], "pandas.tseries.offsets.Milli.is_quarter_end": [[1902, null]], "pandas.tseries.offsets.Milli.is_quarter_start": [[1903, null]], "pandas.tseries.offsets.Milli.is_year_end": [[1904, null]], "pandas.tseries.offsets.Milli.is_year_start": [[1905, null]], "pandas.tseries.offsets.Milli.kwds": [[1906, null]], "pandas.tseries.offsets.Milli.n": [[1907, null]], "pandas.tseries.offsets.Milli.name": [[1908, null]], "pandas.tseries.offsets.Milli.nanos": [[1909, null]], "pandas.tseries.offsets.Milli.normalize": [[1910, null]], "pandas.tseries.offsets.Milli.rule_code": [[1911, null]], "pandas.tseries.offsets.Minute": [[1912, null]], "pandas.tseries.offsets.Minute.copy": [[1913, null]], "pandas.tseries.offsets.Minute.delta": [[1914, null]], "pandas.tseries.offsets.Minute.freqstr": [[1915, null]], "pandas.tseries.offsets.Minute.is_anchored": [[1916, null]], "pandas.tseries.offsets.Minute.is_month_end": [[1917, null]], "pandas.tseries.offsets.Minute.is_month_start": [[1918, null]], "pandas.tseries.offsets.Minute.is_on_offset": [[1919, null]], "pandas.tseries.offsets.Minute.is_quarter_end": [[1920, null]], "pandas.tseries.offsets.Minute.is_quarter_start": [[1921, null]], "pandas.tseries.offsets.Minute.is_year_end": [[1922, null]], "pandas.tseries.offsets.Minute.is_year_start": [[1923, null]], "pandas.tseries.offsets.Minute.kwds": [[1924, null]], "pandas.tseries.offsets.Minute.n": [[1925, null]], "pandas.tseries.offsets.Minute.name": [[1926, null]], "pandas.tseries.offsets.Minute.nanos": [[1927, null]], "pandas.tseries.offsets.Minute.normalize": [[1928, null]], "pandas.tseries.offsets.Minute.rule_code": [[1929, null]], "pandas.tseries.offsets.MonthBegin": [[1930, null]], "pandas.tseries.offsets.MonthBegin.copy": [[1931, null]], "pandas.tseries.offsets.MonthBegin.freqstr": [[1932, null]], "pandas.tseries.offsets.MonthBegin.is_anchored": [[1933, null]], "pandas.tseries.offsets.MonthBegin.is_month_end": [[1934, null]], "pandas.tseries.offsets.MonthBegin.is_month_start": [[1935, null]], "pandas.tseries.offsets.MonthBegin.is_on_offset": [[1936, null]], "pandas.tseries.offsets.MonthBegin.is_quarter_end": [[1937, null]], "pandas.tseries.offsets.MonthBegin.is_quarter_start": [[1938, null]], "pandas.tseries.offsets.MonthBegin.is_year_end": [[1939, null]], "pandas.tseries.offsets.MonthBegin.is_year_start": [[1940, null]], "pandas.tseries.offsets.MonthBegin.kwds": [[1941, null]], "pandas.tseries.offsets.MonthBegin.n": [[1942, null]], "pandas.tseries.offsets.MonthBegin.name": [[1943, null]], "pandas.tseries.offsets.MonthBegin.nanos": [[1944, null]], "pandas.tseries.offsets.MonthBegin.normalize": [[1945, null]], "pandas.tseries.offsets.MonthBegin.rule_code": [[1946, null]], "pandas.tseries.offsets.MonthEnd": [[1947, null]], "pandas.tseries.offsets.MonthEnd.copy": [[1948, null]], "pandas.tseries.offsets.MonthEnd.freqstr": [[1949, null]], "pandas.tseries.offsets.MonthEnd.is_anchored": [[1950, null]], "pandas.tseries.offsets.MonthEnd.is_month_end": [[1951, null]], "pandas.tseries.offsets.MonthEnd.is_month_start": [[1952, null]], "pandas.tseries.offsets.MonthEnd.is_on_offset": [[1953, null]], "pandas.tseries.offsets.MonthEnd.is_quarter_end": [[1954, null]], "pandas.tseries.offsets.MonthEnd.is_quarter_start": [[1955, null]], "pandas.tseries.offsets.MonthEnd.is_year_end": [[1956, null]], "pandas.tseries.offsets.MonthEnd.is_year_start": [[1957, null]], "pandas.tseries.offsets.MonthEnd.kwds": [[1958, null]], "pandas.tseries.offsets.MonthEnd.n": [[1959, null]], "pandas.tseries.offsets.MonthEnd.name": [[1960, null]], "pandas.tseries.offsets.MonthEnd.nanos": [[1961, null]], "pandas.tseries.offsets.MonthEnd.normalize": [[1962, null]], "pandas.tseries.offsets.MonthEnd.rule_code": [[1963, null]], "pandas.tseries.offsets.Nano": [[1964, null]], "pandas.tseries.offsets.Nano.copy": [[1965, null]], "pandas.tseries.offsets.Nano.delta": [[1966, null]], "pandas.tseries.offsets.Nano.freqstr": [[1967, null]], "pandas.tseries.offsets.Nano.is_anchored": [[1968, null]], "pandas.tseries.offsets.Nano.is_month_end": [[1969, null]], "pandas.tseries.offsets.Nano.is_month_start": [[1970, null]], "pandas.tseries.offsets.Nano.is_on_offset": [[1971, null]], "pandas.tseries.offsets.Nano.is_quarter_end": [[1972, null]], "pandas.tseries.offsets.Nano.is_quarter_start": [[1973, null]], "pandas.tseries.offsets.Nano.is_year_end": [[1974, null]], "pandas.tseries.offsets.Nano.is_year_start": [[1975, null]], "pandas.tseries.offsets.Nano.kwds": [[1976, null]], "pandas.tseries.offsets.Nano.n": [[1977, null]], "pandas.tseries.offsets.Nano.name": [[1978, null]], "pandas.tseries.offsets.Nano.nanos": [[1979, null]], "pandas.tseries.offsets.Nano.normalize": [[1980, null]], "pandas.tseries.offsets.Nano.rule_code": [[1981, null]], "pandas.tseries.offsets.QuarterBegin": [[1982, null]], "pandas.tseries.offsets.QuarterBegin.copy": [[1983, null]], "pandas.tseries.offsets.QuarterBegin.freqstr": [[1984, null]], "pandas.tseries.offsets.QuarterBegin.is_anchored": [[1985, null]], "pandas.tseries.offsets.QuarterBegin.is_month_end": [[1986, null]], "pandas.tseries.offsets.QuarterBegin.is_month_start": [[1987, null]], "pandas.tseries.offsets.QuarterBegin.is_on_offset": [[1988, null]], "pandas.tseries.offsets.QuarterBegin.is_quarter_end": [[1989, null]], "pandas.tseries.offsets.QuarterBegin.is_quarter_start": [[1990, null]], "pandas.tseries.offsets.QuarterBegin.is_year_end": [[1991, null]], "pandas.tseries.offsets.QuarterBegin.is_year_start": [[1992, null]], "pandas.tseries.offsets.QuarterBegin.kwds": [[1993, null]], "pandas.tseries.offsets.QuarterBegin.n": [[1994, null]], "pandas.tseries.offsets.QuarterBegin.name": [[1995, null]], "pandas.tseries.offsets.QuarterBegin.nanos": [[1996, null]], "pandas.tseries.offsets.QuarterBegin.normalize": [[1997, null]], "pandas.tseries.offsets.QuarterBegin.rule_code": [[1998, null]], "pandas.tseries.offsets.QuarterBegin.startingMonth": [[1999, null]], "pandas.tseries.offsets.QuarterEnd": [[2000, null]], "pandas.tseries.offsets.QuarterEnd.copy": [[2001, null]], "pandas.tseries.offsets.QuarterEnd.freqstr": [[2002, null]], "pandas.tseries.offsets.QuarterEnd.is_anchored": [[2003, null]], "pandas.tseries.offsets.QuarterEnd.is_month_end": [[2004, null]], "pandas.tseries.offsets.QuarterEnd.is_month_start": [[2005, null]], "pandas.tseries.offsets.QuarterEnd.is_on_offset": [[2006, null]], "pandas.tseries.offsets.QuarterEnd.is_quarter_end": [[2007, null]], "pandas.tseries.offsets.QuarterEnd.is_quarter_start": [[2008, null]], "pandas.tseries.offsets.QuarterEnd.is_year_end": [[2009, null]], "pandas.tseries.offsets.QuarterEnd.is_year_start": [[2010, null]], "pandas.tseries.offsets.QuarterEnd.kwds": [[2011, null]], "pandas.tseries.offsets.QuarterEnd.n": [[2012, null]], "pandas.tseries.offsets.QuarterEnd.name": [[2013, null]], "pandas.tseries.offsets.QuarterEnd.nanos": [[2014, null]], "pandas.tseries.offsets.QuarterEnd.normalize": [[2015, null]], "pandas.tseries.offsets.QuarterEnd.rule_code": [[2016, null]], "pandas.tseries.offsets.QuarterEnd.startingMonth": [[2017, null]], "pandas.tseries.offsets.Second": [[2018, null]], "pandas.tseries.offsets.Second.copy": [[2019, null]], "pandas.tseries.offsets.Second.delta": [[2020, null]], "pandas.tseries.offsets.Second.freqstr": [[2021, null]], "pandas.tseries.offsets.Second.is_anchored": [[2022, null]], "pandas.tseries.offsets.Second.is_month_end": [[2023, null]], "pandas.tseries.offsets.Second.is_month_start": [[2024, null]], "pandas.tseries.offsets.Second.is_on_offset": [[2025, null]], "pandas.tseries.offsets.Second.is_quarter_end": [[2026, null]], "pandas.tseries.offsets.Second.is_quarter_start": [[2027, null]], "pandas.tseries.offsets.Second.is_year_end": [[2028, null]], "pandas.tseries.offsets.Second.is_year_start": [[2029, null]], "pandas.tseries.offsets.Second.kwds": [[2030, null]], "pandas.tseries.offsets.Second.n": [[2031, null]], "pandas.tseries.offsets.Second.name": [[2032, null]], "pandas.tseries.offsets.Second.nanos": [[2033, null]], "pandas.tseries.offsets.Second.normalize": [[2034, null]], "pandas.tseries.offsets.Second.rule_code": [[2035, null]], "pandas.tseries.offsets.SemiMonthBegin": [[2036, null]], "pandas.tseries.offsets.SemiMonthBegin.copy": [[2037, null]], "pandas.tseries.offsets.SemiMonthBegin.day_of_month": [[2038, null]], "pandas.tseries.offsets.SemiMonthBegin.freqstr": [[2039, null]], "pandas.tseries.offsets.SemiMonthBegin.is_anchored": [[2040, null]], "pandas.tseries.offsets.SemiMonthBegin.is_month_end": [[2041, null]], "pandas.tseries.offsets.SemiMonthBegin.is_month_start": [[2042, null]], "pandas.tseries.offsets.SemiMonthBegin.is_on_offset": [[2043, null]], "pandas.tseries.offsets.SemiMonthBegin.is_quarter_end": [[2044, null]], "pandas.tseries.offsets.SemiMonthBegin.is_quarter_start": [[2045, null]], "pandas.tseries.offsets.SemiMonthBegin.is_year_end": [[2046, null]], "pandas.tseries.offsets.SemiMonthBegin.is_year_start": [[2047, null]], "pandas.tseries.offsets.SemiMonthBegin.kwds": [[2048, null]], "pandas.tseries.offsets.SemiMonthBegin.n": [[2049, null]], "pandas.tseries.offsets.SemiMonthBegin.name": [[2050, null]], "pandas.tseries.offsets.SemiMonthBegin.nanos": [[2051, null]], "pandas.tseries.offsets.SemiMonthBegin.normalize": [[2052, null]], "pandas.tseries.offsets.SemiMonthBegin.rule_code": [[2053, null]], "pandas.tseries.offsets.SemiMonthEnd": [[2054, null]], "pandas.tseries.offsets.SemiMonthEnd.copy": [[2055, null]], "pandas.tseries.offsets.SemiMonthEnd.day_of_month": [[2056, null]], "pandas.tseries.offsets.SemiMonthEnd.freqstr": [[2057, null]], "pandas.tseries.offsets.SemiMonthEnd.is_anchored": [[2058, null]], "pandas.tseries.offsets.SemiMonthEnd.is_month_end": [[2059, null]], "pandas.tseries.offsets.SemiMonthEnd.is_month_start": [[2060, null]], "pandas.tseries.offsets.SemiMonthEnd.is_on_offset": [[2061, null]], "pandas.tseries.offsets.SemiMonthEnd.is_quarter_end": [[2062, null]], "pandas.tseries.offsets.SemiMonthEnd.is_quarter_start": [[2063, null]], "pandas.tseries.offsets.SemiMonthEnd.is_year_end": [[2064, null]], "pandas.tseries.offsets.SemiMonthEnd.is_year_start": [[2065, null]], "pandas.tseries.offsets.SemiMonthEnd.kwds": [[2066, null]], "pandas.tseries.offsets.SemiMonthEnd.n": [[2067, null]], "pandas.tseries.offsets.SemiMonthEnd.name": [[2068, null]], "pandas.tseries.offsets.SemiMonthEnd.nanos": [[2069, null]], "pandas.tseries.offsets.SemiMonthEnd.normalize": [[2070, null]], "pandas.tseries.offsets.SemiMonthEnd.rule_code": [[2071, null]], "pandas.tseries.offsets.Tick": [[2072, null]], "pandas.tseries.offsets.Tick.copy": [[2073, null]], "pandas.tseries.offsets.Tick.delta": [[2074, null]], "pandas.tseries.offsets.Tick.freqstr": [[2075, null]], "pandas.tseries.offsets.Tick.is_anchored": [[2076, null]], "pandas.tseries.offsets.Tick.is_month_end": [[2077, null]], "pandas.tseries.offsets.Tick.is_month_start": [[2078, null]], "pandas.tseries.offsets.Tick.is_on_offset": [[2079, null]], "pandas.tseries.offsets.Tick.is_quarter_end": [[2080, null]], "pandas.tseries.offsets.Tick.is_quarter_start": [[2081, null]], "pandas.tseries.offsets.Tick.is_year_end": [[2082, null]], "pandas.tseries.offsets.Tick.is_year_start": [[2083, null]], "pandas.tseries.offsets.Tick.kwds": [[2084, null]], "pandas.tseries.offsets.Tick.n": [[2085, null]], "pandas.tseries.offsets.Tick.name": [[2086, null]], "pandas.tseries.offsets.Tick.nanos": [[2087, null]], "pandas.tseries.offsets.Tick.normalize": [[2088, null]], "pandas.tseries.offsets.Tick.rule_code": [[2089, null]], "pandas.tseries.offsets.Week": [[2090, null]], "pandas.tseries.offsets.Week.copy": [[2091, null]], "pandas.tseries.offsets.Week.freqstr": [[2092, null]], "pandas.tseries.offsets.Week.is_anchored": [[2093, null]], "pandas.tseries.offsets.Week.is_month_end": [[2094, null]], "pandas.tseries.offsets.Week.is_month_start": [[2095, null]], "pandas.tseries.offsets.Week.is_on_offset": [[2096, null]], "pandas.tseries.offsets.Week.is_quarter_end": [[2097, null]], "pandas.tseries.offsets.Week.is_quarter_start": [[2098, null]], "pandas.tseries.offsets.Week.is_year_end": [[2099, null]], "pandas.tseries.offsets.Week.is_year_start": [[2100, null]], "pandas.tseries.offsets.Week.kwds": [[2101, null]], "pandas.tseries.offsets.Week.n": [[2102, null]], "pandas.tseries.offsets.Week.name": [[2103, null]], "pandas.tseries.offsets.Week.nanos": [[2104, null]], "pandas.tseries.offsets.Week.normalize": [[2105, null]], "pandas.tseries.offsets.Week.rule_code": [[2106, null]], "pandas.tseries.offsets.Week.weekday": [[2107, null]], "pandas.tseries.offsets.WeekOfMonth": [[2108, null]], "pandas.tseries.offsets.WeekOfMonth.copy": [[2109, null]], "pandas.tseries.offsets.WeekOfMonth.freqstr": [[2110, null]], "pandas.tseries.offsets.WeekOfMonth.is_anchored": [[2111, null]], "pandas.tseries.offsets.WeekOfMonth.is_month_end": [[2112, null]], "pandas.tseries.offsets.WeekOfMonth.is_month_start": [[2113, null]], "pandas.tseries.offsets.WeekOfMonth.is_on_offset": [[2114, null]], "pandas.tseries.offsets.WeekOfMonth.is_quarter_end": [[2115, null]], "pandas.tseries.offsets.WeekOfMonth.is_quarter_start": [[2116, null]], "pandas.tseries.offsets.WeekOfMonth.is_year_end": [[2117, null]], "pandas.tseries.offsets.WeekOfMonth.is_year_start": [[2118, null]], "pandas.tseries.offsets.WeekOfMonth.kwds": [[2119, null]], "pandas.tseries.offsets.WeekOfMonth.n": [[2120, null]], "pandas.tseries.offsets.WeekOfMonth.name": [[2121, null]], "pandas.tseries.offsets.WeekOfMonth.nanos": [[2122, null]], "pandas.tseries.offsets.WeekOfMonth.normalize": [[2123, null]], "pandas.tseries.offsets.WeekOfMonth.rule_code": [[2124, null]], "pandas.tseries.offsets.WeekOfMonth.week": [[2125, null]], "pandas.tseries.offsets.WeekOfMonth.weekday": [[2126, null]], "pandas.tseries.offsets.YearBegin": [[2127, null]], "pandas.tseries.offsets.YearBegin.copy": [[2128, null]], "pandas.tseries.offsets.YearBegin.freqstr": [[2129, null]], "pandas.tseries.offsets.YearBegin.is_anchored": [[2130, null]], "pandas.tseries.offsets.YearBegin.is_month_end": [[2131, null]], "pandas.tseries.offsets.YearBegin.is_month_start": [[2132, null]], "pandas.tseries.offsets.YearBegin.is_on_offset": [[2133, null]], "pandas.tseries.offsets.YearBegin.is_quarter_end": [[2134, null]], "pandas.tseries.offsets.YearBegin.is_quarter_start": [[2135, null]], "pandas.tseries.offsets.YearBegin.is_year_end": [[2136, null]], "pandas.tseries.offsets.YearBegin.is_year_start": [[2137, null]], "pandas.tseries.offsets.YearBegin.kwds": [[2138, null]], "pandas.tseries.offsets.YearBegin.month": [[2139, null]], "pandas.tseries.offsets.YearBegin.n": [[2140, null]], "pandas.tseries.offsets.YearBegin.name": [[2141, null]], "pandas.tseries.offsets.YearBegin.nanos": [[2142, null]], "pandas.tseries.offsets.YearBegin.normalize": [[2143, null]], "pandas.tseries.offsets.YearBegin.rule_code": [[2144, null]], "pandas.tseries.offsets.YearEnd": [[2145, null]], "pandas.tseries.offsets.YearEnd.copy": [[2146, null]], "pandas.tseries.offsets.YearEnd.freqstr": [[2147, null]], "pandas.tseries.offsets.YearEnd.is_anchored": [[2148, null]], "pandas.tseries.offsets.YearEnd.is_month_end": [[2149, null]], "pandas.tseries.offsets.YearEnd.is_month_start": [[2150, null]], "pandas.tseries.offsets.YearEnd.is_on_offset": [[2151, null]], "pandas.tseries.offsets.YearEnd.is_quarter_end": [[2152, null]], "pandas.tseries.offsets.YearEnd.is_quarter_start": [[2153, null]], "pandas.tseries.offsets.YearEnd.is_year_end": [[2154, null]], "pandas.tseries.offsets.YearEnd.is_year_start": [[2155, null]], "pandas.tseries.offsets.YearEnd.kwds": [[2156, null]], "pandas.tseries.offsets.YearEnd.month": [[2157, null]], "pandas.tseries.offsets.YearEnd.n": [[2158, null]], "pandas.tseries.offsets.YearEnd.name": [[2159, null]], "pandas.tseries.offsets.YearEnd.nanos": [[2160, null]], "pandas.tseries.offsets.YearEnd.normalize": [[2161, null]], "pandas.tseries.offsets.YearEnd.rule_code": [[2162, null]], "pandas.unique": [[2163, null]], "pandas.util.hash_array": [[2164, null]], "pandas.util.hash_pandas_object": [[2165, null]], "pandas.wide_to_long": [[2166, null]], "pd.read_sas() changes": [[2230, "pd-read-sas-changes"]], "pd.unique will now be consistent with extension types": [[2235, "pd-unique-will-now-be-consistent-with-extension-types"]], "pivot()": [[2204, "pivot"]], "pivot() and pivot_table()": [[2204, "pivot-and-pivot-table"]], "pivot_table()": [[2204, "pivot-table"]], "plyr": [[15, "plyr"]], "ptrepack": [[2199, "ptrepack"]], "query() Python versus pandas Syntax Comparison": [[2197, "query-python-versus-pandas-syntax-comparison"]], "query() Use Cases": [[2197, "query-use-cases"]], "read_xml now supports dtype, converters, and parse_dates": [[2294, "read-xml-now-supports-dtype-converters-and-parse-dates"]], "read_xml now supports large XML using iterparse": [[2294, "read-xml-now-supports-large-xml-using-iterparse"]], "reshape / reshape2": [[15, "reshape-reshape2"]], "searchsorted": [[2186, "searchsorted"]], "smallest / largest values": [[2186, "smallest-largest-values"]], "stack() and unstack()": [[2204, "stack-and-unstack"]], "subset": [[15, "subset"]], "tapply": [[15, "tapply"]], "to_numpy for NumPy nullable and Arrow types converts to suitable NumPy dtype": [[2307, "to-numpy-for-numpy-nullable-and-arrow-types-converts-to-suitable-numpy-dtype"]], "to_timedelta": [[2209, "to-timedelta"]], "unstack and pivot_table no longer raises ValueError for result that would exceed int32 limit": [[2289, "unstack-and-pivot-table-no-longer-raises-valueerror-for-result-that-would-exceed-int32-limit"]], "upcasting": [[2186, "upcasting"]], "with": [[15, "with"]]}, "docnames": ["development/community", "development/contributing", "development/contributing_codebase", "development/contributing_docstring", "development/contributing_documentation", "development/contributing_environment", "development/contributing_gitpod", "development/copy_on_write", "development/debugging_extensions", "development/developer", "development/extending", "development/index", "development/internals", "development/maintaining", "development/policies", "getting_started/comparison/comparison_with_r", "getting_started/comparison/comparison_with_sas", "getting_started/comparison/comparison_with_spreadsheets", "getting_started/comparison/comparison_with_sql", "getting_started/comparison/comparison_with_stata", "getting_started/comparison/index", "getting_started/index", "getting_started/install", "getting_started/intro_tutorials/01_table_oriented", "getting_started/intro_tutorials/02_read_write", "getting_started/intro_tutorials/03_subset_data", "getting_started/intro_tutorials/04_plotting", "getting_started/intro_tutorials/05_add_columns", "getting_started/intro_tutorials/06_calculate_statistics", "getting_started/intro_tutorials/07_reshape_table_layout", "getting_started/intro_tutorials/08_combine_dataframes", "getting_started/intro_tutorials/09_timeseries", "getting_started/intro_tutorials/10_text_data", "getting_started/intro_tutorials/index", "getting_started/overview", "getting_started/tutorials", "index", "reference/api/pandas.ArrowDtype", "reference/api/pandas.BooleanDtype", "reference/api/pandas.Categorical", "reference/api/pandas.Categorical.__array__", "reference/api/pandas.Categorical.categories", "reference/api/pandas.Categorical.codes", "reference/api/pandas.Categorical.dtype", "reference/api/pandas.Categorical.from_codes", "reference/api/pandas.Categorical.ordered", "reference/api/pandas.CategoricalDtype", "reference/api/pandas.CategoricalDtype.categories", "reference/api/pandas.CategoricalDtype.ordered", "reference/api/pandas.CategoricalIndex", "reference/api/pandas.CategoricalIndex.add_categories", "reference/api/pandas.CategoricalIndex.as_ordered", "reference/api/pandas.CategoricalIndex.as_unordered", "reference/api/pandas.CategoricalIndex.categories", "reference/api/pandas.CategoricalIndex.codes", "reference/api/pandas.CategoricalIndex.equals", "reference/api/pandas.CategoricalIndex.map", "reference/api/pandas.CategoricalIndex.ordered", "reference/api/pandas.CategoricalIndex.remove_categories", "reference/api/pandas.CategoricalIndex.remove_unused_categories", "reference/api/pandas.CategoricalIndex.rename_categories", "reference/api/pandas.CategoricalIndex.reorder_categories", "reference/api/pandas.CategoricalIndex.set_categories", "reference/api/pandas.DataFrame", "reference/api/pandas.DataFrame.T", "reference/api/pandas.DataFrame.__add__", "reference/api/pandas.DataFrame.__dataframe__", "reference/api/pandas.DataFrame.__iter__", "reference/api/pandas.DataFrame.abs", "reference/api/pandas.DataFrame.add", "reference/api/pandas.DataFrame.add_prefix", "reference/api/pandas.DataFrame.add_suffix", "reference/api/pandas.DataFrame.agg", "reference/api/pandas.DataFrame.aggregate", "reference/api/pandas.DataFrame.align", "reference/api/pandas.DataFrame.all", "reference/api/pandas.DataFrame.any", "reference/api/pandas.DataFrame.apply", "reference/api/pandas.DataFrame.applymap", "reference/api/pandas.DataFrame.asfreq", "reference/api/pandas.DataFrame.asof", "reference/api/pandas.DataFrame.assign", "reference/api/pandas.DataFrame.astype", "reference/api/pandas.DataFrame.at", "reference/api/pandas.DataFrame.at_time", "reference/api/pandas.DataFrame.attrs", "reference/api/pandas.DataFrame.axes", "reference/api/pandas.DataFrame.backfill", "reference/api/pandas.DataFrame.between_time", "reference/api/pandas.DataFrame.bfill", "reference/api/pandas.DataFrame.bool", "reference/api/pandas.DataFrame.boxplot", "reference/api/pandas.DataFrame.clip", "reference/api/pandas.DataFrame.columns", "reference/api/pandas.DataFrame.combine", "reference/api/pandas.DataFrame.combine_first", "reference/api/pandas.DataFrame.compare", "reference/api/pandas.DataFrame.convert_dtypes", "reference/api/pandas.DataFrame.copy", "reference/api/pandas.DataFrame.corr", "reference/api/pandas.DataFrame.corrwith", "reference/api/pandas.DataFrame.count", "reference/api/pandas.DataFrame.cov", "reference/api/pandas.DataFrame.cummax", "reference/api/pandas.DataFrame.cummin", "reference/api/pandas.DataFrame.cumprod", "reference/api/pandas.DataFrame.cumsum", "reference/api/pandas.DataFrame.describe", "reference/api/pandas.DataFrame.diff", "reference/api/pandas.DataFrame.div", "reference/api/pandas.DataFrame.dot", "reference/api/pandas.DataFrame.drop", "reference/api/pandas.DataFrame.drop_duplicates", "reference/api/pandas.DataFrame.droplevel", "reference/api/pandas.DataFrame.dropna", "reference/api/pandas.DataFrame.dtypes", "reference/api/pandas.DataFrame.duplicated", "reference/api/pandas.DataFrame.empty", "reference/api/pandas.DataFrame.eq", "reference/api/pandas.DataFrame.equals", "reference/api/pandas.DataFrame.eval", "reference/api/pandas.DataFrame.ewm", "reference/api/pandas.DataFrame.expanding", "reference/api/pandas.DataFrame.explode", "reference/api/pandas.DataFrame.ffill", "reference/api/pandas.DataFrame.fillna", "reference/api/pandas.DataFrame.filter", "reference/api/pandas.DataFrame.first", "reference/api/pandas.DataFrame.first_valid_index", "reference/api/pandas.DataFrame.floordiv", "reference/api/pandas.DataFrame.from_dict", "reference/api/pandas.DataFrame.from_records", "reference/api/pandas.DataFrame.ge", "reference/api/pandas.DataFrame.get", "reference/api/pandas.DataFrame.groupby", "reference/api/pandas.DataFrame.gt", "reference/api/pandas.DataFrame.head", "reference/api/pandas.DataFrame.hist", "reference/api/pandas.DataFrame.iat", "reference/api/pandas.DataFrame.idxmax", "reference/api/pandas.DataFrame.idxmin", "reference/api/pandas.DataFrame.iloc", "reference/api/pandas.DataFrame.index", "reference/api/pandas.DataFrame.infer_objects", "reference/api/pandas.DataFrame.info", "reference/api/pandas.DataFrame.insert", "reference/api/pandas.DataFrame.interpolate", "reference/api/pandas.DataFrame.isin", "reference/api/pandas.DataFrame.isna", "reference/api/pandas.DataFrame.isnull", "reference/api/pandas.DataFrame.items", "reference/api/pandas.DataFrame.iterrows", "reference/api/pandas.DataFrame.itertuples", "reference/api/pandas.DataFrame.join", "reference/api/pandas.DataFrame.keys", "reference/api/pandas.DataFrame.kurt", "reference/api/pandas.DataFrame.kurtosis", "reference/api/pandas.DataFrame.last", "reference/api/pandas.DataFrame.last_valid_index", "reference/api/pandas.DataFrame.le", "reference/api/pandas.DataFrame.loc", "reference/api/pandas.DataFrame.lt", "reference/api/pandas.DataFrame.map", "reference/api/pandas.DataFrame.mask", "reference/api/pandas.DataFrame.max", "reference/api/pandas.DataFrame.mean", "reference/api/pandas.DataFrame.median", "reference/api/pandas.DataFrame.melt", "reference/api/pandas.DataFrame.memory_usage", "reference/api/pandas.DataFrame.merge", "reference/api/pandas.DataFrame.min", "reference/api/pandas.DataFrame.mod", "reference/api/pandas.DataFrame.mode", "reference/api/pandas.DataFrame.mul", "reference/api/pandas.DataFrame.ndim", "reference/api/pandas.DataFrame.ne", "reference/api/pandas.DataFrame.nlargest", "reference/api/pandas.DataFrame.notna", "reference/api/pandas.DataFrame.notnull", "reference/api/pandas.DataFrame.nsmallest", "reference/api/pandas.DataFrame.nunique", "reference/api/pandas.DataFrame.pad", "reference/api/pandas.DataFrame.pct_change", "reference/api/pandas.DataFrame.pipe", "reference/api/pandas.DataFrame.pivot", "reference/api/pandas.DataFrame.pivot_table", "reference/api/pandas.DataFrame.plot", "reference/api/pandas.DataFrame.plot.area", "reference/api/pandas.DataFrame.plot.bar", "reference/api/pandas.DataFrame.plot.barh", "reference/api/pandas.DataFrame.plot.box", "reference/api/pandas.DataFrame.plot.density", "reference/api/pandas.DataFrame.plot.hexbin", "reference/api/pandas.DataFrame.plot.hist", "reference/api/pandas.DataFrame.plot.kde", "reference/api/pandas.DataFrame.plot.line", "reference/api/pandas.DataFrame.plot.pie", "reference/api/pandas.DataFrame.plot.scatter", "reference/api/pandas.DataFrame.pop", "reference/api/pandas.DataFrame.pow", "reference/api/pandas.DataFrame.prod", "reference/api/pandas.DataFrame.product", "reference/api/pandas.DataFrame.quantile", "reference/api/pandas.DataFrame.query", "reference/api/pandas.DataFrame.radd", "reference/api/pandas.DataFrame.rank", "reference/api/pandas.DataFrame.rdiv", "reference/api/pandas.DataFrame.reindex", "reference/api/pandas.DataFrame.reindex_like", "reference/api/pandas.DataFrame.rename", "reference/api/pandas.DataFrame.rename_axis", "reference/api/pandas.DataFrame.reorder_levels", "reference/api/pandas.DataFrame.replace", "reference/api/pandas.DataFrame.resample", "reference/api/pandas.DataFrame.reset_index", "reference/api/pandas.DataFrame.rfloordiv", "reference/api/pandas.DataFrame.rmod", "reference/api/pandas.DataFrame.rmul", "reference/api/pandas.DataFrame.rolling", "reference/api/pandas.DataFrame.round", "reference/api/pandas.DataFrame.rpow", "reference/api/pandas.DataFrame.rsub", "reference/api/pandas.DataFrame.rtruediv", "reference/api/pandas.DataFrame.sample", "reference/api/pandas.DataFrame.select_dtypes", "reference/api/pandas.DataFrame.sem", "reference/api/pandas.DataFrame.set_axis", "reference/api/pandas.DataFrame.set_flags", "reference/api/pandas.DataFrame.set_index", "reference/api/pandas.DataFrame.shape", "reference/api/pandas.DataFrame.shift", "reference/api/pandas.DataFrame.size", "reference/api/pandas.DataFrame.skew", "reference/api/pandas.DataFrame.sort_index", "reference/api/pandas.DataFrame.sort_values", "reference/api/pandas.DataFrame.sparse", "reference/api/pandas.DataFrame.sparse.density", "reference/api/pandas.DataFrame.sparse.from_spmatrix", "reference/api/pandas.DataFrame.sparse.to_coo", "reference/api/pandas.DataFrame.sparse.to_dense", "reference/api/pandas.DataFrame.squeeze", "reference/api/pandas.DataFrame.stack", "reference/api/pandas.DataFrame.std", "reference/api/pandas.DataFrame.style", "reference/api/pandas.DataFrame.sub", "reference/api/pandas.DataFrame.sum", "reference/api/pandas.DataFrame.swapaxes", "reference/api/pandas.DataFrame.swaplevel", "reference/api/pandas.DataFrame.tail", "reference/api/pandas.DataFrame.take", "reference/api/pandas.DataFrame.to_clipboard", "reference/api/pandas.DataFrame.to_csv", "reference/api/pandas.DataFrame.to_dict", "reference/api/pandas.DataFrame.to_excel", "reference/api/pandas.DataFrame.to_feather", "reference/api/pandas.DataFrame.to_gbq", "reference/api/pandas.DataFrame.to_hdf", "reference/api/pandas.DataFrame.to_html", "reference/api/pandas.DataFrame.to_json", "reference/api/pandas.DataFrame.to_latex", "reference/api/pandas.DataFrame.to_markdown", "reference/api/pandas.DataFrame.to_numpy", "reference/api/pandas.DataFrame.to_orc", "reference/api/pandas.DataFrame.to_parquet", "reference/api/pandas.DataFrame.to_period", "reference/api/pandas.DataFrame.to_pickle", "reference/api/pandas.DataFrame.to_records", "reference/api/pandas.DataFrame.to_sql", "reference/api/pandas.DataFrame.to_stata", "reference/api/pandas.DataFrame.to_string", "reference/api/pandas.DataFrame.to_timestamp", "reference/api/pandas.DataFrame.to_xarray", "reference/api/pandas.DataFrame.to_xml", "reference/api/pandas.DataFrame.transform", "reference/api/pandas.DataFrame.transpose", "reference/api/pandas.DataFrame.truediv", "reference/api/pandas.DataFrame.truncate", "reference/api/pandas.DataFrame.tz_convert", "reference/api/pandas.DataFrame.tz_localize", "reference/api/pandas.DataFrame.unstack", "reference/api/pandas.DataFrame.update", "reference/api/pandas.DataFrame.value_counts", "reference/api/pandas.DataFrame.values", "reference/api/pandas.DataFrame.var", "reference/api/pandas.DataFrame.where", "reference/api/pandas.DataFrame.xs", "reference/api/pandas.DatetimeIndex", "reference/api/pandas.DatetimeIndex.as_unit", "reference/api/pandas.DatetimeIndex.ceil", "reference/api/pandas.DatetimeIndex.date", "reference/api/pandas.DatetimeIndex.day", "reference/api/pandas.DatetimeIndex.day_name", "reference/api/pandas.DatetimeIndex.day_of_week", "reference/api/pandas.DatetimeIndex.day_of_year", "reference/api/pandas.DatetimeIndex.dayofweek", "reference/api/pandas.DatetimeIndex.dayofyear", "reference/api/pandas.DatetimeIndex.floor", "reference/api/pandas.DatetimeIndex.freq", "reference/api/pandas.DatetimeIndex.freqstr", "reference/api/pandas.DatetimeIndex.hour", "reference/api/pandas.DatetimeIndex.indexer_at_time", "reference/api/pandas.DatetimeIndex.indexer_between_time", "reference/api/pandas.DatetimeIndex.inferred_freq", "reference/api/pandas.DatetimeIndex.is_leap_year", "reference/api/pandas.DatetimeIndex.is_month_end", "reference/api/pandas.DatetimeIndex.is_month_start", "reference/api/pandas.DatetimeIndex.is_quarter_end", "reference/api/pandas.DatetimeIndex.is_quarter_start", "reference/api/pandas.DatetimeIndex.is_year_end", "reference/api/pandas.DatetimeIndex.is_year_start", "reference/api/pandas.DatetimeIndex.mean", "reference/api/pandas.DatetimeIndex.microsecond", "reference/api/pandas.DatetimeIndex.minute", "reference/api/pandas.DatetimeIndex.month", "reference/api/pandas.DatetimeIndex.month_name", "reference/api/pandas.DatetimeIndex.nanosecond", "reference/api/pandas.DatetimeIndex.normalize", "reference/api/pandas.DatetimeIndex.quarter", "reference/api/pandas.DatetimeIndex.round", "reference/api/pandas.DatetimeIndex.second", "reference/api/pandas.DatetimeIndex.snap", "reference/api/pandas.DatetimeIndex.std", "reference/api/pandas.DatetimeIndex.strftime", "reference/api/pandas.DatetimeIndex.time", "reference/api/pandas.DatetimeIndex.timetz", "reference/api/pandas.DatetimeIndex.to_frame", "reference/api/pandas.DatetimeIndex.to_period", "reference/api/pandas.DatetimeIndex.to_pydatetime", "reference/api/pandas.DatetimeIndex.to_series", "reference/api/pandas.DatetimeIndex.tz", "reference/api/pandas.DatetimeIndex.tz_convert", "reference/api/pandas.DatetimeIndex.tz_localize", "reference/api/pandas.DatetimeIndex.weekday", "reference/api/pandas.DatetimeIndex.year", "reference/api/pandas.DatetimeTZDtype", "reference/api/pandas.DatetimeTZDtype.tz", "reference/api/pandas.DatetimeTZDtype.unit", "reference/api/pandas.ExcelFile", "reference/api/pandas.ExcelFile.book", "reference/api/pandas.ExcelFile.parse", "reference/api/pandas.ExcelFile.sheet_names", "reference/api/pandas.ExcelWriter", "reference/api/pandas.Flags", "reference/api/pandas.Float32Dtype", "reference/api/pandas.Float64Dtype", "reference/api/pandas.Grouper", "reference/api/pandas.HDFStore.append", "reference/api/pandas.HDFStore.get", "reference/api/pandas.HDFStore.groups", "reference/api/pandas.HDFStore.info", "reference/api/pandas.HDFStore.keys", "reference/api/pandas.HDFStore.put", "reference/api/pandas.HDFStore.select", "reference/api/pandas.HDFStore.walk", "reference/api/pandas.Index", "reference/api/pandas.Index.T", "reference/api/pandas.Index.all", "reference/api/pandas.Index.any", "reference/api/pandas.Index.append", "reference/api/pandas.Index.argmax", "reference/api/pandas.Index.argmin", "reference/api/pandas.Index.argsort", "reference/api/pandas.Index.asof", "reference/api/pandas.Index.asof_locs", "reference/api/pandas.Index.astype", "reference/api/pandas.Index.copy", "reference/api/pandas.Index.delete", "reference/api/pandas.Index.difference", "reference/api/pandas.Index.drop", "reference/api/pandas.Index.drop_duplicates", "reference/api/pandas.Index.droplevel", "reference/api/pandas.Index.dropna", "reference/api/pandas.Index.dtype", "reference/api/pandas.Index.duplicated", "reference/api/pandas.Index.empty", "reference/api/pandas.Index.equals", "reference/api/pandas.Index.factorize", "reference/api/pandas.Index.fillna", "reference/api/pandas.Index.get_indexer", "reference/api/pandas.Index.get_indexer_for", "reference/api/pandas.Index.get_indexer_non_unique", "reference/api/pandas.Index.get_level_values", "reference/api/pandas.Index.get_loc", "reference/api/pandas.Index.get_slice_bound", "reference/api/pandas.Index.has_duplicates", "reference/api/pandas.Index.hasnans", "reference/api/pandas.Index.identical", "reference/api/pandas.Index.inferred_type", "reference/api/pandas.Index.insert", "reference/api/pandas.Index.intersection", "reference/api/pandas.Index.is_", "reference/api/pandas.Index.is_boolean", "reference/api/pandas.Index.is_categorical", "reference/api/pandas.Index.is_floating", "reference/api/pandas.Index.is_integer", "reference/api/pandas.Index.is_interval", "reference/api/pandas.Index.is_monotonic_decreasing", "reference/api/pandas.Index.is_monotonic_increasing", "reference/api/pandas.Index.is_numeric", "reference/api/pandas.Index.is_object", "reference/api/pandas.Index.is_unique", "reference/api/pandas.Index.isin", "reference/api/pandas.Index.isna", "reference/api/pandas.Index.item", "reference/api/pandas.Index.join", "reference/api/pandas.Index.map", "reference/api/pandas.Index.max", "reference/api/pandas.Index.memory_usage", "reference/api/pandas.Index.min", "reference/api/pandas.Index.name", "reference/api/pandas.Index.names", "reference/api/pandas.Index.nbytes", "reference/api/pandas.Index.ndim", "reference/api/pandas.Index.notna", "reference/api/pandas.Index.nunique", "reference/api/pandas.Index.putmask", "reference/api/pandas.Index.ravel", "reference/api/pandas.Index.reindex", "reference/api/pandas.Index.rename", "reference/api/pandas.Index.repeat", "reference/api/pandas.Index.searchsorted", "reference/api/pandas.Index.set_names", "reference/api/pandas.Index.shape", "reference/api/pandas.Index.shift", "reference/api/pandas.Index.size", "reference/api/pandas.Index.slice_indexer", "reference/api/pandas.Index.slice_locs", "reference/api/pandas.Index.sort_values", "reference/api/pandas.Index.str", "reference/api/pandas.Index.symmetric_difference", "reference/api/pandas.Index.take", "reference/api/pandas.Index.to_frame", "reference/api/pandas.Index.to_list", "reference/api/pandas.Index.to_series", "reference/api/pandas.Index.union", "reference/api/pandas.Index.unique", "reference/api/pandas.Index.value_counts", "reference/api/pandas.Index.values", "reference/api/pandas.Index.view", "reference/api/pandas.Index.where", "reference/api/pandas.IndexSlice", "reference/api/pandas.Int16Dtype", "reference/api/pandas.Int32Dtype", "reference/api/pandas.Int64Dtype", "reference/api/pandas.Int8Dtype", "reference/api/pandas.Interval", "reference/api/pandas.Interval.closed", "reference/api/pandas.Interval.closed_left", "reference/api/pandas.Interval.closed_right", "reference/api/pandas.Interval.is_empty", "reference/api/pandas.Interval.left", "reference/api/pandas.Interval.length", "reference/api/pandas.Interval.mid", "reference/api/pandas.Interval.open_left", "reference/api/pandas.Interval.open_right", "reference/api/pandas.Interval.overlaps", "reference/api/pandas.Interval.right", "reference/api/pandas.IntervalDtype", "reference/api/pandas.IntervalDtype.subtype", "reference/api/pandas.IntervalIndex", "reference/api/pandas.IntervalIndex.closed", "reference/api/pandas.IntervalIndex.contains", "reference/api/pandas.IntervalIndex.from_arrays", "reference/api/pandas.IntervalIndex.from_breaks", "reference/api/pandas.IntervalIndex.from_tuples", "reference/api/pandas.IntervalIndex.get_indexer", "reference/api/pandas.IntervalIndex.get_loc", "reference/api/pandas.IntervalIndex.is_empty", "reference/api/pandas.IntervalIndex.is_non_overlapping_monotonic", "reference/api/pandas.IntervalIndex.is_overlapping", "reference/api/pandas.IntervalIndex.left", "reference/api/pandas.IntervalIndex.length", "reference/api/pandas.IntervalIndex.mid", "reference/api/pandas.IntervalIndex.overlaps", "reference/api/pandas.IntervalIndex.right", "reference/api/pandas.IntervalIndex.set_closed", "reference/api/pandas.IntervalIndex.to_tuples", "reference/api/pandas.IntervalIndex.values", "reference/api/pandas.MultiIndex", "reference/api/pandas.MultiIndex.append", "reference/api/pandas.MultiIndex.codes", "reference/api/pandas.MultiIndex.copy", "reference/api/pandas.MultiIndex.drop", "reference/api/pandas.MultiIndex.droplevel", "reference/api/pandas.MultiIndex.dtypes", "reference/api/pandas.MultiIndex.from_arrays", "reference/api/pandas.MultiIndex.from_frame", "reference/api/pandas.MultiIndex.from_product", "reference/api/pandas.MultiIndex.from_tuples", "reference/api/pandas.MultiIndex.get_indexer", "reference/api/pandas.MultiIndex.get_level_values", "reference/api/pandas.MultiIndex.get_loc", "reference/api/pandas.MultiIndex.get_loc_level", "reference/api/pandas.MultiIndex.get_locs", "reference/api/pandas.MultiIndex.levels", "reference/api/pandas.MultiIndex.levshape", "reference/api/pandas.MultiIndex.names", "reference/api/pandas.MultiIndex.nlevels", "reference/api/pandas.MultiIndex.remove_unused_levels", "reference/api/pandas.MultiIndex.reorder_levels", "reference/api/pandas.MultiIndex.set_codes", "reference/api/pandas.MultiIndex.set_levels", "reference/api/pandas.MultiIndex.sortlevel", "reference/api/pandas.MultiIndex.swaplevel", "reference/api/pandas.MultiIndex.to_flat_index", "reference/api/pandas.MultiIndex.to_frame", "reference/api/pandas.MultiIndex.truncate", "reference/api/pandas.NA", "reference/api/pandas.NaT", "reference/api/pandas.NamedAgg", "reference/api/pandas.Period", "reference/api/pandas.Period.asfreq", "reference/api/pandas.Period.day", "reference/api/pandas.Period.day_of_week", "reference/api/pandas.Period.day_of_year", "reference/api/pandas.Period.dayofweek", "reference/api/pandas.Period.dayofyear", "reference/api/pandas.Period.days_in_month", "reference/api/pandas.Period.daysinmonth", "reference/api/pandas.Period.end_time", "reference/api/pandas.Period.freq", "reference/api/pandas.Period.freqstr", "reference/api/pandas.Period.hour", "reference/api/pandas.Period.is_leap_year", "reference/api/pandas.Period.minute", "reference/api/pandas.Period.month", "reference/api/pandas.Period.now", "reference/api/pandas.Period.ordinal", "reference/api/pandas.Period.quarter", "reference/api/pandas.Period.qyear", "reference/api/pandas.Period.second", "reference/api/pandas.Period.start_time", "reference/api/pandas.Period.strftime", "reference/api/pandas.Period.to_timestamp", "reference/api/pandas.Period.week", "reference/api/pandas.Period.weekday", "reference/api/pandas.Period.weekofyear", "reference/api/pandas.Period.year", "reference/api/pandas.PeriodDtype", "reference/api/pandas.PeriodDtype.freq", "reference/api/pandas.PeriodIndex", "reference/api/pandas.PeriodIndex.asfreq", "reference/api/pandas.PeriodIndex.day", "reference/api/pandas.PeriodIndex.day_of_week", "reference/api/pandas.PeriodIndex.day_of_year", "reference/api/pandas.PeriodIndex.dayofweek", "reference/api/pandas.PeriodIndex.dayofyear", "reference/api/pandas.PeriodIndex.days_in_month", "reference/api/pandas.PeriodIndex.daysinmonth", "reference/api/pandas.PeriodIndex.end_time", "reference/api/pandas.PeriodIndex.freq", "reference/api/pandas.PeriodIndex.freqstr", "reference/api/pandas.PeriodIndex.from_fields", "reference/api/pandas.PeriodIndex.from_ordinals", "reference/api/pandas.PeriodIndex.hour", "reference/api/pandas.PeriodIndex.is_leap_year", "reference/api/pandas.PeriodIndex.minute", "reference/api/pandas.PeriodIndex.month", "reference/api/pandas.PeriodIndex.quarter", "reference/api/pandas.PeriodIndex.qyear", "reference/api/pandas.PeriodIndex.second", "reference/api/pandas.PeriodIndex.start_time", "reference/api/pandas.PeriodIndex.strftime", "reference/api/pandas.PeriodIndex.to_timestamp", "reference/api/pandas.PeriodIndex.week", "reference/api/pandas.PeriodIndex.weekday", "reference/api/pandas.PeriodIndex.weekofyear", "reference/api/pandas.PeriodIndex.year", "reference/api/pandas.RangeIndex", "reference/api/pandas.RangeIndex.from_range", "reference/api/pandas.RangeIndex.start", "reference/api/pandas.RangeIndex.step", "reference/api/pandas.RangeIndex.stop", "reference/api/pandas.Series", "reference/api/pandas.Series.T", "reference/api/pandas.Series.__array__", "reference/api/pandas.Series.__iter__", "reference/api/pandas.Series.abs", "reference/api/pandas.Series.add", "reference/api/pandas.Series.add_prefix", "reference/api/pandas.Series.add_suffix", "reference/api/pandas.Series.agg", "reference/api/pandas.Series.aggregate", "reference/api/pandas.Series.align", "reference/api/pandas.Series.all", "reference/api/pandas.Series.any", "reference/api/pandas.Series.apply", "reference/api/pandas.Series.argmax", "reference/api/pandas.Series.argmin", "reference/api/pandas.Series.argsort", "reference/api/pandas.Series.array", "reference/api/pandas.Series.asfreq", "reference/api/pandas.Series.asof", "reference/api/pandas.Series.astype", "reference/api/pandas.Series.at", "reference/api/pandas.Series.at_time", "reference/api/pandas.Series.attrs", "reference/api/pandas.Series.autocorr", "reference/api/pandas.Series.backfill", "reference/api/pandas.Series.between", "reference/api/pandas.Series.between_time", "reference/api/pandas.Series.bfill", "reference/api/pandas.Series.bool", "reference/api/pandas.Series.case_when", "reference/api/pandas.Series.cat", "reference/api/pandas.Series.cat.add_categories", "reference/api/pandas.Series.cat.as_ordered", "reference/api/pandas.Series.cat.as_unordered", "reference/api/pandas.Series.cat.categories", "reference/api/pandas.Series.cat.codes", "reference/api/pandas.Series.cat.ordered", "reference/api/pandas.Series.cat.remove_categories", "reference/api/pandas.Series.cat.remove_unused_categories", "reference/api/pandas.Series.cat.rename_categories", "reference/api/pandas.Series.cat.reorder_categories", "reference/api/pandas.Series.cat.set_categories", "reference/api/pandas.Series.clip", "reference/api/pandas.Series.combine", "reference/api/pandas.Series.combine_first", "reference/api/pandas.Series.compare", "reference/api/pandas.Series.convert_dtypes", "reference/api/pandas.Series.copy", "reference/api/pandas.Series.corr", "reference/api/pandas.Series.count", "reference/api/pandas.Series.cov", "reference/api/pandas.Series.cummax", "reference/api/pandas.Series.cummin", "reference/api/pandas.Series.cumprod", "reference/api/pandas.Series.cumsum", "reference/api/pandas.Series.describe", "reference/api/pandas.Series.diff", "reference/api/pandas.Series.div", "reference/api/pandas.Series.dot", "reference/api/pandas.Series.drop", "reference/api/pandas.Series.drop_duplicates", "reference/api/pandas.Series.droplevel", "reference/api/pandas.Series.dropna", "reference/api/pandas.Series.dt", "reference/api/pandas.Series.dt.as_unit", "reference/api/pandas.Series.dt.ceil", "reference/api/pandas.Series.dt.components", "reference/api/pandas.Series.dt.date", "reference/api/pandas.Series.dt.day", "reference/api/pandas.Series.dt.day_name", "reference/api/pandas.Series.dt.day_of_week", "reference/api/pandas.Series.dt.day_of_year", "reference/api/pandas.Series.dt.dayofweek", "reference/api/pandas.Series.dt.dayofyear", "reference/api/pandas.Series.dt.days", "reference/api/pandas.Series.dt.days_in_month", "reference/api/pandas.Series.dt.daysinmonth", "reference/api/pandas.Series.dt.end_time", "reference/api/pandas.Series.dt.floor", "reference/api/pandas.Series.dt.freq", "reference/api/pandas.Series.dt.hour", "reference/api/pandas.Series.dt.is_leap_year", "reference/api/pandas.Series.dt.is_month_end", "reference/api/pandas.Series.dt.is_month_start", "reference/api/pandas.Series.dt.is_quarter_end", "reference/api/pandas.Series.dt.is_quarter_start", "reference/api/pandas.Series.dt.is_year_end", "reference/api/pandas.Series.dt.is_year_start", "reference/api/pandas.Series.dt.isocalendar", "reference/api/pandas.Series.dt.microsecond", "reference/api/pandas.Series.dt.microseconds", "reference/api/pandas.Series.dt.minute", "reference/api/pandas.Series.dt.month", "reference/api/pandas.Series.dt.month_name", "reference/api/pandas.Series.dt.nanosecond", "reference/api/pandas.Series.dt.nanoseconds", "reference/api/pandas.Series.dt.normalize", "reference/api/pandas.Series.dt.quarter", "reference/api/pandas.Series.dt.qyear", "reference/api/pandas.Series.dt.round", "reference/api/pandas.Series.dt.second", "reference/api/pandas.Series.dt.seconds", "reference/api/pandas.Series.dt.start_time", "reference/api/pandas.Series.dt.strftime", "reference/api/pandas.Series.dt.time", "reference/api/pandas.Series.dt.timetz", "reference/api/pandas.Series.dt.to_period", "reference/api/pandas.Series.dt.to_pydatetime", "reference/api/pandas.Series.dt.to_pytimedelta", "reference/api/pandas.Series.dt.total_seconds", "reference/api/pandas.Series.dt.tz", "reference/api/pandas.Series.dt.tz_convert", "reference/api/pandas.Series.dt.tz_localize", "reference/api/pandas.Series.dt.unit", "reference/api/pandas.Series.dt.weekday", "reference/api/pandas.Series.dt.year", "reference/api/pandas.Series.dtype", "reference/api/pandas.Series.dtypes", "reference/api/pandas.Series.duplicated", "reference/api/pandas.Series.empty", "reference/api/pandas.Series.eq", "reference/api/pandas.Series.equals", "reference/api/pandas.Series.ewm", "reference/api/pandas.Series.expanding", "reference/api/pandas.Series.explode", "reference/api/pandas.Series.factorize", "reference/api/pandas.Series.ffill", "reference/api/pandas.Series.fillna", "reference/api/pandas.Series.filter", "reference/api/pandas.Series.first", "reference/api/pandas.Series.first_valid_index", "reference/api/pandas.Series.flags", "reference/api/pandas.Series.floordiv", "reference/api/pandas.Series.ge", "reference/api/pandas.Series.get", "reference/api/pandas.Series.groupby", "reference/api/pandas.Series.gt", "reference/api/pandas.Series.hasnans", "reference/api/pandas.Series.head", "reference/api/pandas.Series.hist", "reference/api/pandas.Series.iat", "reference/api/pandas.Series.idxmax", "reference/api/pandas.Series.idxmin", "reference/api/pandas.Series.iloc", "reference/api/pandas.Series.index", "reference/api/pandas.Series.infer_objects", "reference/api/pandas.Series.interpolate", "reference/api/pandas.Series.is_monotonic_decreasing", "reference/api/pandas.Series.is_monotonic_increasing", "reference/api/pandas.Series.is_unique", "reference/api/pandas.Series.isin", "reference/api/pandas.Series.isna", "reference/api/pandas.Series.isnull", "reference/api/pandas.Series.item", "reference/api/pandas.Series.items", "reference/api/pandas.Series.keys", "reference/api/pandas.Series.kurt", "reference/api/pandas.Series.kurtosis", "reference/api/pandas.Series.last", "reference/api/pandas.Series.last_valid_index", "reference/api/pandas.Series.le", "reference/api/pandas.Series.list.__getitem__", "reference/api/pandas.Series.list.flatten", "reference/api/pandas.Series.list.len", "reference/api/pandas.Series.loc", "reference/api/pandas.Series.lt", "reference/api/pandas.Series.map", "reference/api/pandas.Series.mask", "reference/api/pandas.Series.max", "reference/api/pandas.Series.mean", "reference/api/pandas.Series.median", "reference/api/pandas.Series.memory_usage", "reference/api/pandas.Series.min", "reference/api/pandas.Series.mod", "reference/api/pandas.Series.mode", "reference/api/pandas.Series.mul", "reference/api/pandas.Series.name", "reference/api/pandas.Series.nbytes", "reference/api/pandas.Series.ndim", "reference/api/pandas.Series.ne", "reference/api/pandas.Series.nlargest", "reference/api/pandas.Series.notna", "reference/api/pandas.Series.notnull", "reference/api/pandas.Series.nsmallest", "reference/api/pandas.Series.nunique", "reference/api/pandas.Series.pad", "reference/api/pandas.Series.pct_change", "reference/api/pandas.Series.pipe", "reference/api/pandas.Series.plot", "reference/api/pandas.Series.plot.area", "reference/api/pandas.Series.plot.bar", "reference/api/pandas.Series.plot.barh", "reference/api/pandas.Series.plot.box", "reference/api/pandas.Series.plot.density", "reference/api/pandas.Series.plot.hist", "reference/api/pandas.Series.plot.kde", "reference/api/pandas.Series.plot.line", "reference/api/pandas.Series.plot.pie", "reference/api/pandas.Series.pop", "reference/api/pandas.Series.pow", "reference/api/pandas.Series.prod", "reference/api/pandas.Series.product", "reference/api/pandas.Series.quantile", "reference/api/pandas.Series.radd", "reference/api/pandas.Series.rank", "reference/api/pandas.Series.ravel", "reference/api/pandas.Series.rdiv", "reference/api/pandas.Series.reindex", "reference/api/pandas.Series.reindex_like", "reference/api/pandas.Series.rename", "reference/api/pandas.Series.rename_axis", "reference/api/pandas.Series.reorder_levels", "reference/api/pandas.Series.repeat", "reference/api/pandas.Series.replace", "reference/api/pandas.Series.resample", "reference/api/pandas.Series.reset_index", "reference/api/pandas.Series.rfloordiv", "reference/api/pandas.Series.rmod", "reference/api/pandas.Series.rmul", "reference/api/pandas.Series.rolling", "reference/api/pandas.Series.round", "reference/api/pandas.Series.rpow", "reference/api/pandas.Series.rsub", "reference/api/pandas.Series.rtruediv", "reference/api/pandas.Series.sample", "reference/api/pandas.Series.searchsorted", "reference/api/pandas.Series.sem", "reference/api/pandas.Series.set_axis", "reference/api/pandas.Series.set_flags", "reference/api/pandas.Series.shape", "reference/api/pandas.Series.shift", "reference/api/pandas.Series.size", "reference/api/pandas.Series.skew", "reference/api/pandas.Series.sort_index", "reference/api/pandas.Series.sort_values", "reference/api/pandas.Series.sparse", "reference/api/pandas.Series.sparse.density", "reference/api/pandas.Series.sparse.fill_value", "reference/api/pandas.Series.sparse.from_coo", "reference/api/pandas.Series.sparse.npoints", "reference/api/pandas.Series.sparse.sp_values", "reference/api/pandas.Series.sparse.to_coo", "reference/api/pandas.Series.squeeze", "reference/api/pandas.Series.std", "reference/api/pandas.Series.str", "reference/api/pandas.Series.str.capitalize", "reference/api/pandas.Series.str.casefold", "reference/api/pandas.Series.str.cat", "reference/api/pandas.Series.str.center", "reference/api/pandas.Series.str.contains", "reference/api/pandas.Series.str.count", "reference/api/pandas.Series.str.decode", "reference/api/pandas.Series.str.encode", "reference/api/pandas.Series.str.endswith", "reference/api/pandas.Series.str.extract", "reference/api/pandas.Series.str.extractall", "reference/api/pandas.Series.str.find", "reference/api/pandas.Series.str.findall", "reference/api/pandas.Series.str.fullmatch", "reference/api/pandas.Series.str.get", "reference/api/pandas.Series.str.get_dummies", "reference/api/pandas.Series.str.index", "reference/api/pandas.Series.str.isalnum", "reference/api/pandas.Series.str.isalpha", "reference/api/pandas.Series.str.isdecimal", "reference/api/pandas.Series.str.isdigit", "reference/api/pandas.Series.str.islower", "reference/api/pandas.Series.str.isnumeric", "reference/api/pandas.Series.str.isspace", "reference/api/pandas.Series.str.istitle", "reference/api/pandas.Series.str.isupper", "reference/api/pandas.Series.str.join", "reference/api/pandas.Series.str.len", "reference/api/pandas.Series.str.ljust", "reference/api/pandas.Series.str.lower", "reference/api/pandas.Series.str.lstrip", "reference/api/pandas.Series.str.match", "reference/api/pandas.Series.str.normalize", "reference/api/pandas.Series.str.pad", "reference/api/pandas.Series.str.partition", "reference/api/pandas.Series.str.removeprefix", "reference/api/pandas.Series.str.removesuffix", "reference/api/pandas.Series.str.repeat", "reference/api/pandas.Series.str.replace", "reference/api/pandas.Series.str.rfind", "reference/api/pandas.Series.str.rindex", "reference/api/pandas.Series.str.rjust", "reference/api/pandas.Series.str.rpartition", "reference/api/pandas.Series.str.rsplit", "reference/api/pandas.Series.str.rstrip", "reference/api/pandas.Series.str.slice", "reference/api/pandas.Series.str.slice_replace", "reference/api/pandas.Series.str.split", "reference/api/pandas.Series.str.startswith", "reference/api/pandas.Series.str.strip", "reference/api/pandas.Series.str.swapcase", "reference/api/pandas.Series.str.title", "reference/api/pandas.Series.str.translate", "reference/api/pandas.Series.str.upper", "reference/api/pandas.Series.str.wrap", "reference/api/pandas.Series.str.zfill", "reference/api/pandas.Series.struct.dtypes", "reference/api/pandas.Series.struct.explode", "reference/api/pandas.Series.struct.field", "reference/api/pandas.Series.sub", "reference/api/pandas.Series.sum", "reference/api/pandas.Series.swaplevel", "reference/api/pandas.Series.tail", "reference/api/pandas.Series.take", "reference/api/pandas.Series.to_clipboard", "reference/api/pandas.Series.to_csv", "reference/api/pandas.Series.to_dict", "reference/api/pandas.Series.to_excel", "reference/api/pandas.Series.to_frame", "reference/api/pandas.Series.to_hdf", "reference/api/pandas.Series.to_json", "reference/api/pandas.Series.to_latex", "reference/api/pandas.Series.to_list", "reference/api/pandas.Series.to_markdown", "reference/api/pandas.Series.to_numpy", "reference/api/pandas.Series.to_period", "reference/api/pandas.Series.to_pickle", "reference/api/pandas.Series.to_sql", "reference/api/pandas.Series.to_string", "reference/api/pandas.Series.to_timestamp", "reference/api/pandas.Series.to_xarray", "reference/api/pandas.Series.transform", "reference/api/pandas.Series.truediv", "reference/api/pandas.Series.truncate", "reference/api/pandas.Series.tz_convert", "reference/api/pandas.Series.tz_localize", "reference/api/pandas.Series.unique", "reference/api/pandas.Series.unstack", "reference/api/pandas.Series.update", "reference/api/pandas.Series.value_counts", "reference/api/pandas.Series.values", "reference/api/pandas.Series.var", "reference/api/pandas.Series.view", "reference/api/pandas.Series.where", "reference/api/pandas.Series.xs", "reference/api/pandas.SparseDtype", "reference/api/pandas.StringDtype", "reference/api/pandas.Timedelta", "reference/api/pandas.Timedelta.as_unit", "reference/api/pandas.Timedelta.asm8", "reference/api/pandas.Timedelta.ceil", "reference/api/pandas.Timedelta.components", "reference/api/pandas.Timedelta.days", "reference/api/pandas.Timedelta.floor", "reference/api/pandas.Timedelta.isoformat", "reference/api/pandas.Timedelta.max", "reference/api/pandas.Timedelta.microseconds", "reference/api/pandas.Timedelta.min", "reference/api/pandas.Timedelta.nanoseconds", "reference/api/pandas.Timedelta.resolution", "reference/api/pandas.Timedelta.round", "reference/api/pandas.Timedelta.seconds", "reference/api/pandas.Timedelta.to_numpy", "reference/api/pandas.Timedelta.to_pytimedelta", "reference/api/pandas.Timedelta.to_timedelta64", "reference/api/pandas.Timedelta.total_seconds", "reference/api/pandas.Timedelta.unit", "reference/api/pandas.Timedelta.value", "reference/api/pandas.Timedelta.view", "reference/api/pandas.TimedeltaIndex", "reference/api/pandas.TimedeltaIndex.as_unit", "reference/api/pandas.TimedeltaIndex.ceil", "reference/api/pandas.TimedeltaIndex.components", "reference/api/pandas.TimedeltaIndex.days", "reference/api/pandas.TimedeltaIndex.floor", "reference/api/pandas.TimedeltaIndex.inferred_freq", "reference/api/pandas.TimedeltaIndex.mean", "reference/api/pandas.TimedeltaIndex.microseconds", "reference/api/pandas.TimedeltaIndex.nanoseconds", "reference/api/pandas.TimedeltaIndex.round", "reference/api/pandas.TimedeltaIndex.seconds", "reference/api/pandas.TimedeltaIndex.to_frame", "reference/api/pandas.TimedeltaIndex.to_pytimedelta", "reference/api/pandas.TimedeltaIndex.to_series", "reference/api/pandas.Timestamp", "reference/api/pandas.Timestamp.as_unit", "reference/api/pandas.Timestamp.asm8", "reference/api/pandas.Timestamp.astimezone", "reference/api/pandas.Timestamp.ceil", "reference/api/pandas.Timestamp.combine", "reference/api/pandas.Timestamp.ctime", "reference/api/pandas.Timestamp.date", "reference/api/pandas.Timestamp.day", "reference/api/pandas.Timestamp.day_name", "reference/api/pandas.Timestamp.day_of_week", "reference/api/pandas.Timestamp.day_of_year", "reference/api/pandas.Timestamp.dayofweek", "reference/api/pandas.Timestamp.dayofyear", "reference/api/pandas.Timestamp.days_in_month", "reference/api/pandas.Timestamp.daysinmonth", "reference/api/pandas.Timestamp.dst", "reference/api/pandas.Timestamp.floor", "reference/api/pandas.Timestamp.fold", "reference/api/pandas.Timestamp.fromordinal", "reference/api/pandas.Timestamp.fromtimestamp", "reference/api/pandas.Timestamp.hour", "reference/api/pandas.Timestamp.is_leap_year", "reference/api/pandas.Timestamp.is_month_end", "reference/api/pandas.Timestamp.is_month_start", "reference/api/pandas.Timestamp.is_quarter_end", "reference/api/pandas.Timestamp.is_quarter_start", "reference/api/pandas.Timestamp.is_year_end", "reference/api/pandas.Timestamp.is_year_start", "reference/api/pandas.Timestamp.isocalendar", "reference/api/pandas.Timestamp.isoformat", "reference/api/pandas.Timestamp.isoweekday", "reference/api/pandas.Timestamp.max", "reference/api/pandas.Timestamp.microsecond", "reference/api/pandas.Timestamp.min", "reference/api/pandas.Timestamp.minute", "reference/api/pandas.Timestamp.month", "reference/api/pandas.Timestamp.month_name", "reference/api/pandas.Timestamp.nanosecond", "reference/api/pandas.Timestamp.normalize", "reference/api/pandas.Timestamp.now", "reference/api/pandas.Timestamp.quarter", "reference/api/pandas.Timestamp.replace", "reference/api/pandas.Timestamp.resolution", "reference/api/pandas.Timestamp.round", "reference/api/pandas.Timestamp.second", "reference/api/pandas.Timestamp.strftime", "reference/api/pandas.Timestamp.strptime", "reference/api/pandas.Timestamp.time", "reference/api/pandas.Timestamp.timestamp", "reference/api/pandas.Timestamp.timetuple", "reference/api/pandas.Timestamp.timetz", "reference/api/pandas.Timestamp.to_datetime64", "reference/api/pandas.Timestamp.to_julian_date", "reference/api/pandas.Timestamp.to_numpy", "reference/api/pandas.Timestamp.to_period", "reference/api/pandas.Timestamp.to_pydatetime", "reference/api/pandas.Timestamp.today", "reference/api/pandas.Timestamp.toordinal", "reference/api/pandas.Timestamp.tz", "reference/api/pandas.Timestamp.tz_convert", "reference/api/pandas.Timestamp.tz_localize", "reference/api/pandas.Timestamp.tzinfo", "reference/api/pandas.Timestamp.tzname", "reference/api/pandas.Timestamp.unit", "reference/api/pandas.Timestamp.utcfromtimestamp", "reference/api/pandas.Timestamp.utcnow", "reference/api/pandas.Timestamp.utcoffset", "reference/api/pandas.Timestamp.utctimetuple", "reference/api/pandas.Timestamp.value", "reference/api/pandas.Timestamp.week", "reference/api/pandas.Timestamp.weekday", "reference/api/pandas.Timestamp.weekofyear", "reference/api/pandas.Timestamp.year", "reference/api/pandas.UInt16Dtype", "reference/api/pandas.UInt32Dtype", "reference/api/pandas.UInt64Dtype", "reference/api/pandas.UInt8Dtype", "reference/api/pandas.api.extensions.ExtensionArray", "reference/api/pandas.api.extensions.ExtensionArray._accumulate", "reference/api/pandas.api.extensions.ExtensionArray._concat_same_type", "reference/api/pandas.api.extensions.ExtensionArray._explode", "reference/api/pandas.api.extensions.ExtensionArray._formatter", "reference/api/pandas.api.extensions.ExtensionArray._from_factorized", "reference/api/pandas.api.extensions.ExtensionArray._from_sequence", "reference/api/pandas.api.extensions.ExtensionArray._from_sequence_of_strings", "reference/api/pandas.api.extensions.ExtensionArray._hash_pandas_object", "reference/api/pandas.api.extensions.ExtensionArray._pad_or_backfill", "reference/api/pandas.api.extensions.ExtensionArray._reduce", "reference/api/pandas.api.extensions.ExtensionArray._values_for_argsort", "reference/api/pandas.api.extensions.ExtensionArray._values_for_factorize", "reference/api/pandas.api.extensions.ExtensionArray.argsort", "reference/api/pandas.api.extensions.ExtensionArray.astype", "reference/api/pandas.api.extensions.ExtensionArray.copy", "reference/api/pandas.api.extensions.ExtensionArray.dropna", "reference/api/pandas.api.extensions.ExtensionArray.dtype", "reference/api/pandas.api.extensions.ExtensionArray.duplicated", "reference/api/pandas.api.extensions.ExtensionArray.equals", "reference/api/pandas.api.extensions.ExtensionArray.factorize", "reference/api/pandas.api.extensions.ExtensionArray.fillna", "reference/api/pandas.api.extensions.ExtensionArray.insert", "reference/api/pandas.api.extensions.ExtensionArray.interpolate", "reference/api/pandas.api.extensions.ExtensionArray.isin", "reference/api/pandas.api.extensions.ExtensionArray.isna", "reference/api/pandas.api.extensions.ExtensionArray.nbytes", "reference/api/pandas.api.extensions.ExtensionArray.ndim", "reference/api/pandas.api.extensions.ExtensionArray.ravel", "reference/api/pandas.api.extensions.ExtensionArray.repeat", "reference/api/pandas.api.extensions.ExtensionArray.searchsorted", "reference/api/pandas.api.extensions.ExtensionArray.shape", "reference/api/pandas.api.extensions.ExtensionArray.shift", "reference/api/pandas.api.extensions.ExtensionArray.take", "reference/api/pandas.api.extensions.ExtensionArray.tolist", "reference/api/pandas.api.extensions.ExtensionArray.unique", "reference/api/pandas.api.extensions.ExtensionArray.view", "reference/api/pandas.api.extensions.ExtensionDtype", "reference/api/pandas.api.extensions.register_dataframe_accessor", "reference/api/pandas.api.extensions.register_extension_dtype", "reference/api/pandas.api.extensions.register_index_accessor", "reference/api/pandas.api.extensions.register_series_accessor", "reference/api/pandas.api.indexers.BaseIndexer", "reference/api/pandas.api.indexers.FixedForwardWindowIndexer", "reference/api/pandas.api.indexers.VariableOffsetWindowIndexer", "reference/api/pandas.api.indexers.check_array_indexer", "reference/api/pandas.api.interchange.from_dataframe", "reference/api/pandas.api.types.infer_dtype", "reference/api/pandas.api.types.is_any_real_numeric_dtype", "reference/api/pandas.api.types.is_bool", "reference/api/pandas.api.types.is_bool_dtype", "reference/api/pandas.api.types.is_categorical_dtype", "reference/api/pandas.api.types.is_complex", "reference/api/pandas.api.types.is_complex_dtype", "reference/api/pandas.api.types.is_datetime64_any_dtype", "reference/api/pandas.api.types.is_datetime64_dtype", "reference/api/pandas.api.types.is_datetime64_ns_dtype", "reference/api/pandas.api.types.is_datetime64tz_dtype", "reference/api/pandas.api.types.is_dict_like", "reference/api/pandas.api.types.is_extension_array_dtype", "reference/api/pandas.api.types.is_file_like", "reference/api/pandas.api.types.is_float", "reference/api/pandas.api.types.is_float_dtype", "reference/api/pandas.api.types.is_hashable", "reference/api/pandas.api.types.is_int64_dtype", "reference/api/pandas.api.types.is_integer", "reference/api/pandas.api.types.is_integer_dtype", "reference/api/pandas.api.types.is_interval", "reference/api/pandas.api.types.is_interval_dtype", "reference/api/pandas.api.types.is_iterator", "reference/api/pandas.api.types.is_list_like", "reference/api/pandas.api.types.is_named_tuple", "reference/api/pandas.api.types.is_number", "reference/api/pandas.api.types.is_numeric_dtype", "reference/api/pandas.api.types.is_object_dtype", "reference/api/pandas.api.types.is_period_dtype", "reference/api/pandas.api.types.is_re", "reference/api/pandas.api.types.is_re_compilable", "reference/api/pandas.api.types.is_scalar", "reference/api/pandas.api.types.is_signed_integer_dtype", "reference/api/pandas.api.types.is_sparse", "reference/api/pandas.api.types.is_string_dtype", "reference/api/pandas.api.types.is_timedelta64_dtype", "reference/api/pandas.api.types.is_timedelta64_ns_dtype", "reference/api/pandas.api.types.is_unsigned_integer_dtype", "reference/api/pandas.api.types.pandas_dtype", "reference/api/pandas.api.types.union_categoricals", "reference/api/pandas.array", "reference/api/pandas.arrays.ArrowExtensionArray", "reference/api/pandas.arrays.ArrowStringArray", "reference/api/pandas.arrays.BooleanArray", "reference/api/pandas.arrays.DatetimeArray", "reference/api/pandas.arrays.FloatingArray", "reference/api/pandas.arrays.IntegerArray", "reference/api/pandas.arrays.IntervalArray", "reference/api/pandas.arrays.IntervalArray.closed", "reference/api/pandas.arrays.IntervalArray.contains", "reference/api/pandas.arrays.IntervalArray.from_arrays", "reference/api/pandas.arrays.IntervalArray.from_breaks", "reference/api/pandas.arrays.IntervalArray.from_tuples", "reference/api/pandas.arrays.IntervalArray.is_empty", "reference/api/pandas.arrays.IntervalArray.is_non_overlapping_monotonic", "reference/api/pandas.arrays.IntervalArray.left", "reference/api/pandas.arrays.IntervalArray.length", "reference/api/pandas.arrays.IntervalArray.mid", "reference/api/pandas.arrays.IntervalArray.overlaps", "reference/api/pandas.arrays.IntervalArray.right", "reference/api/pandas.arrays.IntervalArray.set_closed", "reference/api/pandas.arrays.IntervalArray.to_tuples", "reference/api/pandas.arrays.NumpyExtensionArray", "reference/api/pandas.arrays.PeriodArray", "reference/api/pandas.arrays.SparseArray", "reference/api/pandas.arrays.StringArray", "reference/api/pandas.arrays.TimedeltaArray", "reference/api/pandas.bdate_range", "reference/api/pandas.concat", "reference/api/pandas.core.groupby.DataFrameGroupBy.__iter__", "reference/api/pandas.core.groupby.DataFrameGroupBy.agg", "reference/api/pandas.core.groupby.DataFrameGroupBy.aggregate", "reference/api/pandas.core.groupby.DataFrameGroupBy.all", "reference/api/pandas.core.groupby.DataFrameGroupBy.any", "reference/api/pandas.core.groupby.DataFrameGroupBy.apply", "reference/api/pandas.core.groupby.DataFrameGroupBy.bfill", "reference/api/pandas.core.groupby.DataFrameGroupBy.boxplot", "reference/api/pandas.core.groupby.DataFrameGroupBy.corr", "reference/api/pandas.core.groupby.DataFrameGroupBy.corrwith", "reference/api/pandas.core.groupby.DataFrameGroupBy.count", "reference/api/pandas.core.groupby.DataFrameGroupBy.cov", "reference/api/pandas.core.groupby.DataFrameGroupBy.cumcount", "reference/api/pandas.core.groupby.DataFrameGroupBy.cummax", "reference/api/pandas.core.groupby.DataFrameGroupBy.cummin", "reference/api/pandas.core.groupby.DataFrameGroupBy.cumprod", "reference/api/pandas.core.groupby.DataFrameGroupBy.cumsum", "reference/api/pandas.core.groupby.DataFrameGroupBy.describe", "reference/api/pandas.core.groupby.DataFrameGroupBy.diff", "reference/api/pandas.core.groupby.DataFrameGroupBy.ffill", "reference/api/pandas.core.groupby.DataFrameGroupBy.fillna", "reference/api/pandas.core.groupby.DataFrameGroupBy.filter", "reference/api/pandas.core.groupby.DataFrameGroupBy.first", "reference/api/pandas.core.groupby.DataFrameGroupBy.get_group", "reference/api/pandas.core.groupby.DataFrameGroupBy.groups", "reference/api/pandas.core.groupby.DataFrameGroupBy.head", "reference/api/pandas.core.groupby.DataFrameGroupBy.hist", "reference/api/pandas.core.groupby.DataFrameGroupBy.idxmax", "reference/api/pandas.core.groupby.DataFrameGroupBy.idxmin", "reference/api/pandas.core.groupby.DataFrameGroupBy.indices", "reference/api/pandas.core.groupby.DataFrameGroupBy.last", "reference/api/pandas.core.groupby.DataFrameGroupBy.max", "reference/api/pandas.core.groupby.DataFrameGroupBy.mean", "reference/api/pandas.core.groupby.DataFrameGroupBy.median", "reference/api/pandas.core.groupby.DataFrameGroupBy.min", "reference/api/pandas.core.groupby.DataFrameGroupBy.ngroup", "reference/api/pandas.core.groupby.DataFrameGroupBy.nth", "reference/api/pandas.core.groupby.DataFrameGroupBy.nunique", "reference/api/pandas.core.groupby.DataFrameGroupBy.ohlc", "reference/api/pandas.core.groupby.DataFrameGroupBy.pct_change", "reference/api/pandas.core.groupby.DataFrameGroupBy.pipe", "reference/api/pandas.core.groupby.DataFrameGroupBy.plot", "reference/api/pandas.core.groupby.DataFrameGroupBy.prod", "reference/api/pandas.core.groupby.DataFrameGroupBy.quantile", "reference/api/pandas.core.groupby.DataFrameGroupBy.rank", "reference/api/pandas.core.groupby.DataFrameGroupBy.resample", "reference/api/pandas.core.groupby.DataFrameGroupBy.rolling", "reference/api/pandas.core.groupby.DataFrameGroupBy.sample", "reference/api/pandas.core.groupby.DataFrameGroupBy.sem", "reference/api/pandas.core.groupby.DataFrameGroupBy.shift", "reference/api/pandas.core.groupby.DataFrameGroupBy.size", "reference/api/pandas.core.groupby.DataFrameGroupBy.skew", "reference/api/pandas.core.groupby.DataFrameGroupBy.std", "reference/api/pandas.core.groupby.DataFrameGroupBy.sum", "reference/api/pandas.core.groupby.DataFrameGroupBy.tail", "reference/api/pandas.core.groupby.DataFrameGroupBy.take", "reference/api/pandas.core.groupby.DataFrameGroupBy.transform", "reference/api/pandas.core.groupby.DataFrameGroupBy.value_counts", "reference/api/pandas.core.groupby.DataFrameGroupBy.var", "reference/api/pandas.core.groupby.SeriesGroupBy.__iter__", "reference/api/pandas.core.groupby.SeriesGroupBy.agg", "reference/api/pandas.core.groupby.SeriesGroupBy.aggregate", "reference/api/pandas.core.groupby.SeriesGroupBy.all", "reference/api/pandas.core.groupby.SeriesGroupBy.any", "reference/api/pandas.core.groupby.SeriesGroupBy.apply", "reference/api/pandas.core.groupby.SeriesGroupBy.bfill", "reference/api/pandas.core.groupby.SeriesGroupBy.corr", "reference/api/pandas.core.groupby.SeriesGroupBy.count", "reference/api/pandas.core.groupby.SeriesGroupBy.cov", "reference/api/pandas.core.groupby.SeriesGroupBy.cumcount", "reference/api/pandas.core.groupby.SeriesGroupBy.cummax", "reference/api/pandas.core.groupby.SeriesGroupBy.cummin", "reference/api/pandas.core.groupby.SeriesGroupBy.cumprod", "reference/api/pandas.core.groupby.SeriesGroupBy.cumsum", "reference/api/pandas.core.groupby.SeriesGroupBy.describe", "reference/api/pandas.core.groupby.SeriesGroupBy.diff", "reference/api/pandas.core.groupby.SeriesGroupBy.ffill", "reference/api/pandas.core.groupby.SeriesGroupBy.fillna", "reference/api/pandas.core.groupby.SeriesGroupBy.filter", "reference/api/pandas.core.groupby.SeriesGroupBy.first", "reference/api/pandas.core.groupby.SeriesGroupBy.get_group", "reference/api/pandas.core.groupby.SeriesGroupBy.groups", "reference/api/pandas.core.groupby.SeriesGroupBy.head", "reference/api/pandas.core.groupby.SeriesGroupBy.hist", "reference/api/pandas.core.groupby.SeriesGroupBy.idxmax", "reference/api/pandas.core.groupby.SeriesGroupBy.idxmin", "reference/api/pandas.core.groupby.SeriesGroupBy.indices", "reference/api/pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing", "reference/api/pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing", "reference/api/pandas.core.groupby.SeriesGroupBy.last", "reference/api/pandas.core.groupby.SeriesGroupBy.max", "reference/api/pandas.core.groupby.SeriesGroupBy.mean", "reference/api/pandas.core.groupby.SeriesGroupBy.median", "reference/api/pandas.core.groupby.SeriesGroupBy.min", "reference/api/pandas.core.groupby.SeriesGroupBy.ngroup", "reference/api/pandas.core.groupby.SeriesGroupBy.nlargest", "reference/api/pandas.core.groupby.SeriesGroupBy.nsmallest", "reference/api/pandas.core.groupby.SeriesGroupBy.nth", "reference/api/pandas.core.groupby.SeriesGroupBy.nunique", "reference/api/pandas.core.groupby.SeriesGroupBy.ohlc", "reference/api/pandas.core.groupby.SeriesGroupBy.pct_change", "reference/api/pandas.core.groupby.SeriesGroupBy.pipe", "reference/api/pandas.core.groupby.SeriesGroupBy.plot", "reference/api/pandas.core.groupby.SeriesGroupBy.prod", "reference/api/pandas.core.groupby.SeriesGroupBy.quantile", "reference/api/pandas.core.groupby.SeriesGroupBy.rank", "reference/api/pandas.core.groupby.SeriesGroupBy.resample", "reference/api/pandas.core.groupby.SeriesGroupBy.rolling", "reference/api/pandas.core.groupby.SeriesGroupBy.sample", "reference/api/pandas.core.groupby.SeriesGroupBy.sem", "reference/api/pandas.core.groupby.SeriesGroupBy.shift", "reference/api/pandas.core.groupby.SeriesGroupBy.size", "reference/api/pandas.core.groupby.SeriesGroupBy.skew", "reference/api/pandas.core.groupby.SeriesGroupBy.std", "reference/api/pandas.core.groupby.SeriesGroupBy.sum", "reference/api/pandas.core.groupby.SeriesGroupBy.tail", "reference/api/pandas.core.groupby.SeriesGroupBy.take", "reference/api/pandas.core.groupby.SeriesGroupBy.transform", "reference/api/pandas.core.groupby.SeriesGroupBy.unique", "reference/api/pandas.core.groupby.SeriesGroupBy.value_counts", "reference/api/pandas.core.groupby.SeriesGroupBy.var", "reference/api/pandas.core.resample.Resampler.__iter__", "reference/api/pandas.core.resample.Resampler.aggregate", "reference/api/pandas.core.resample.Resampler.apply", "reference/api/pandas.core.resample.Resampler.asfreq", "reference/api/pandas.core.resample.Resampler.bfill", "reference/api/pandas.core.resample.Resampler.count", "reference/api/pandas.core.resample.Resampler.ffill", "reference/api/pandas.core.resample.Resampler.fillna", "reference/api/pandas.core.resample.Resampler.first", "reference/api/pandas.core.resample.Resampler.get_group", "reference/api/pandas.core.resample.Resampler.groups", "reference/api/pandas.core.resample.Resampler.indices", "reference/api/pandas.core.resample.Resampler.interpolate", "reference/api/pandas.core.resample.Resampler.last", "reference/api/pandas.core.resample.Resampler.max", "reference/api/pandas.core.resample.Resampler.mean", "reference/api/pandas.core.resample.Resampler.median", "reference/api/pandas.core.resample.Resampler.min", "reference/api/pandas.core.resample.Resampler.nearest", "reference/api/pandas.core.resample.Resampler.nunique", "reference/api/pandas.core.resample.Resampler.ohlc", "reference/api/pandas.core.resample.Resampler.pipe", "reference/api/pandas.core.resample.Resampler.prod", "reference/api/pandas.core.resample.Resampler.quantile", "reference/api/pandas.core.resample.Resampler.sem", "reference/api/pandas.core.resample.Resampler.size", "reference/api/pandas.core.resample.Resampler.std", "reference/api/pandas.core.resample.Resampler.sum", "reference/api/pandas.core.resample.Resampler.transform", "reference/api/pandas.core.resample.Resampler.var", "reference/api/pandas.core.window.ewm.ExponentialMovingWindow.corr", "reference/api/pandas.core.window.ewm.ExponentialMovingWindow.cov", "reference/api/pandas.core.window.ewm.ExponentialMovingWindow.mean", "reference/api/pandas.core.window.ewm.ExponentialMovingWindow.std", "reference/api/pandas.core.window.ewm.ExponentialMovingWindow.sum", "reference/api/pandas.core.window.ewm.ExponentialMovingWindow.var", "reference/api/pandas.core.window.expanding.Expanding.aggregate", "reference/api/pandas.core.window.expanding.Expanding.apply", "reference/api/pandas.core.window.expanding.Expanding.corr", "reference/api/pandas.core.window.expanding.Expanding.count", "reference/api/pandas.core.window.expanding.Expanding.cov", "reference/api/pandas.core.window.expanding.Expanding.kurt", "reference/api/pandas.core.window.expanding.Expanding.max", "reference/api/pandas.core.window.expanding.Expanding.mean", "reference/api/pandas.core.window.expanding.Expanding.median", "reference/api/pandas.core.window.expanding.Expanding.min", "reference/api/pandas.core.window.expanding.Expanding.quantile", "reference/api/pandas.core.window.expanding.Expanding.rank", "reference/api/pandas.core.window.expanding.Expanding.sem", "reference/api/pandas.core.window.expanding.Expanding.skew", "reference/api/pandas.core.window.expanding.Expanding.std", "reference/api/pandas.core.window.expanding.Expanding.sum", "reference/api/pandas.core.window.expanding.Expanding.var", "reference/api/pandas.core.window.rolling.Rolling.aggregate", "reference/api/pandas.core.window.rolling.Rolling.apply", "reference/api/pandas.core.window.rolling.Rolling.corr", "reference/api/pandas.core.window.rolling.Rolling.count", "reference/api/pandas.core.window.rolling.Rolling.cov", "reference/api/pandas.core.window.rolling.Rolling.kurt", "reference/api/pandas.core.window.rolling.Rolling.max", "reference/api/pandas.core.window.rolling.Rolling.mean", "reference/api/pandas.core.window.rolling.Rolling.median", "reference/api/pandas.core.window.rolling.Rolling.min", "reference/api/pandas.core.window.rolling.Rolling.quantile", "reference/api/pandas.core.window.rolling.Rolling.rank", "reference/api/pandas.core.window.rolling.Rolling.sem", "reference/api/pandas.core.window.rolling.Rolling.skew", "reference/api/pandas.core.window.rolling.Rolling.std", "reference/api/pandas.core.window.rolling.Rolling.sum", "reference/api/pandas.core.window.rolling.Rolling.var", "reference/api/pandas.core.window.rolling.Window.mean", "reference/api/pandas.core.window.rolling.Window.std", "reference/api/pandas.core.window.rolling.Window.sum", "reference/api/pandas.core.window.rolling.Window.var", "reference/api/pandas.crosstab", "reference/api/pandas.cut", "reference/api/pandas.date_range", "reference/api/pandas.describe_option", "reference/api/pandas.errors.AbstractMethodError", "reference/api/pandas.errors.AttributeConflictWarning", "reference/api/pandas.errors.CSSWarning", "reference/api/pandas.errors.CategoricalConversionWarning", "reference/api/pandas.errors.ChainedAssignmentError", "reference/api/pandas.errors.ClosedFileError", "reference/api/pandas.errors.DataError", "reference/api/pandas.errors.DatabaseError", "reference/api/pandas.errors.DtypeWarning", "reference/api/pandas.errors.DuplicateLabelError", "reference/api/pandas.errors.EmptyDataError", "reference/api/pandas.errors.IncompatibilityWarning", "reference/api/pandas.errors.IndexingError", "reference/api/pandas.errors.IntCastingNaNError", "reference/api/pandas.errors.InvalidColumnName", "reference/api/pandas.errors.InvalidComparison", "reference/api/pandas.errors.InvalidIndexError", "reference/api/pandas.errors.InvalidVersion", "reference/api/pandas.errors.LossySetitemError", "reference/api/pandas.errors.MergeError", "reference/api/pandas.errors.NoBufferPresent", "reference/api/pandas.errors.NullFrequencyError", "reference/api/pandas.errors.NumExprClobberingError", "reference/api/pandas.errors.NumbaUtilError", "reference/api/pandas.errors.OptionError", "reference/api/pandas.errors.OutOfBoundsDatetime", "reference/api/pandas.errors.OutOfBoundsTimedelta", "reference/api/pandas.errors.ParserError", "reference/api/pandas.errors.ParserWarning", "reference/api/pandas.errors.PerformanceWarning", "reference/api/pandas.errors.PossibleDataLossError", "reference/api/pandas.errors.PossiblePrecisionLoss", "reference/api/pandas.errors.PyperclipException", "reference/api/pandas.errors.PyperclipWindowsException", "reference/api/pandas.errors.SettingWithCopyError", "reference/api/pandas.errors.SettingWithCopyWarning", "reference/api/pandas.errors.SpecificationError", "reference/api/pandas.errors.UndefinedVariableError", "reference/api/pandas.errors.UnsortedIndexError", "reference/api/pandas.errors.UnsupportedFunctionCall", "reference/api/pandas.errors.ValueLabelTypeMismatch", "reference/api/pandas.eval", "reference/api/pandas.factorize", "reference/api/pandas.from_dummies", "reference/api/pandas.get_dummies", "reference/api/pandas.get_option", "reference/api/pandas.infer_freq", "reference/api/pandas.interval_range", "reference/api/pandas.io.formats.style.Styler", "reference/api/pandas.io.formats.style.Styler.apply", "reference/api/pandas.io.formats.style.Styler.apply_index", "reference/api/pandas.io.formats.style.Styler.background_gradient", "reference/api/pandas.io.formats.style.Styler.bar", "reference/api/pandas.io.formats.style.Styler.clear", "reference/api/pandas.io.formats.style.Styler.concat", "reference/api/pandas.io.formats.style.Styler.env", "reference/api/pandas.io.formats.style.Styler.export", "reference/api/pandas.io.formats.style.Styler.format", "reference/api/pandas.io.formats.style.Styler.format_index", "reference/api/pandas.io.formats.style.Styler.from_custom_template", "reference/api/pandas.io.formats.style.Styler.hide", "reference/api/pandas.io.formats.style.Styler.highlight_between", "reference/api/pandas.io.formats.style.Styler.highlight_max", "reference/api/pandas.io.formats.style.Styler.highlight_min", "reference/api/pandas.io.formats.style.Styler.highlight_null", "reference/api/pandas.io.formats.style.Styler.highlight_quantile", "reference/api/pandas.io.formats.style.Styler.loader", "reference/api/pandas.io.formats.style.Styler.map", "reference/api/pandas.io.formats.style.Styler.map_index", "reference/api/pandas.io.formats.style.Styler.pipe", "reference/api/pandas.io.formats.style.Styler.relabel_index", "reference/api/pandas.io.formats.style.Styler.set_caption", "reference/api/pandas.io.formats.style.Styler.set_properties", "reference/api/pandas.io.formats.style.Styler.set_sticky", "reference/api/pandas.io.formats.style.Styler.set_table_attributes", "reference/api/pandas.io.formats.style.Styler.set_table_styles", "reference/api/pandas.io.formats.style.Styler.set_td_classes", "reference/api/pandas.io.formats.style.Styler.set_tooltips", "reference/api/pandas.io.formats.style.Styler.set_uuid", "reference/api/pandas.io.formats.style.Styler.template_html", "reference/api/pandas.io.formats.style.Styler.template_html_style", "reference/api/pandas.io.formats.style.Styler.template_html_table", "reference/api/pandas.io.formats.style.Styler.template_latex", "reference/api/pandas.io.formats.style.Styler.template_string", "reference/api/pandas.io.formats.style.Styler.text_gradient", "reference/api/pandas.io.formats.style.Styler.to_excel", "reference/api/pandas.io.formats.style.Styler.to_html", "reference/api/pandas.io.formats.style.Styler.to_latex", "reference/api/pandas.io.formats.style.Styler.to_string", "reference/api/pandas.io.formats.style.Styler.use", "reference/api/pandas.io.json.build_table_schema", "reference/api/pandas.io.stata.StataReader.data_label", "reference/api/pandas.io.stata.StataReader.value_labels", "reference/api/pandas.io.stata.StataReader.variable_labels", "reference/api/pandas.io.stata.StataWriter.write_file", "reference/api/pandas.isna", "reference/api/pandas.isnull", "reference/api/pandas.json_normalize", "reference/api/pandas.lreshape", "reference/api/pandas.melt", "reference/api/pandas.merge", "reference/api/pandas.merge_asof", "reference/api/pandas.merge_ordered", "reference/api/pandas.notna", "reference/api/pandas.notnull", "reference/api/pandas.option_context", "reference/api/pandas.period_range", "reference/api/pandas.pivot", "reference/api/pandas.pivot_table", "reference/api/pandas.plotting.andrews_curves", "reference/api/pandas.plotting.autocorrelation_plot", "reference/api/pandas.plotting.bootstrap_plot", "reference/api/pandas.plotting.boxplot", "reference/api/pandas.plotting.deregister_matplotlib_converters", "reference/api/pandas.plotting.lag_plot", "reference/api/pandas.plotting.parallel_coordinates", "reference/api/pandas.plotting.plot_params", "reference/api/pandas.plotting.radviz", "reference/api/pandas.plotting.register_matplotlib_converters", "reference/api/pandas.plotting.scatter_matrix", "reference/api/pandas.plotting.table", "reference/api/pandas.qcut", "reference/api/pandas.read_clipboard", "reference/api/pandas.read_csv", "reference/api/pandas.read_excel", "reference/api/pandas.read_feather", "reference/api/pandas.read_fwf", "reference/api/pandas.read_gbq", "reference/api/pandas.read_hdf", "reference/api/pandas.read_html", "reference/api/pandas.read_json", "reference/api/pandas.read_orc", "reference/api/pandas.read_parquet", "reference/api/pandas.read_pickle", "reference/api/pandas.read_sas", "reference/api/pandas.read_spss", "reference/api/pandas.read_sql", "reference/api/pandas.read_sql_query", "reference/api/pandas.read_sql_table", "reference/api/pandas.read_stata", "reference/api/pandas.read_table", "reference/api/pandas.read_xml", "reference/api/pandas.reset_option", "reference/api/pandas.set_eng_float_format", "reference/api/pandas.set_option", "reference/api/pandas.show_versions", "reference/api/pandas.test", "reference/api/pandas.testing.assert_extension_array_equal", "reference/api/pandas.testing.assert_frame_equal", "reference/api/pandas.testing.assert_index_equal", "reference/api/pandas.testing.assert_series_equal", "reference/api/pandas.timedelta_range", "reference/api/pandas.to_datetime", "reference/api/pandas.to_numeric", "reference/api/pandas.to_timedelta", "reference/api/pandas.tseries.api.guess_datetime_format", "reference/api/pandas.tseries.frequencies.to_offset", "reference/api/pandas.tseries.offsets.BDay", "reference/api/pandas.tseries.offsets.BMonthBegin", "reference/api/pandas.tseries.offsets.BMonthEnd", "reference/api/pandas.tseries.offsets.BQuarterBegin", "reference/api/pandas.tseries.offsets.BQuarterBegin.copy", "reference/api/pandas.tseries.offsets.BQuarterBegin.freqstr", "reference/api/pandas.tseries.offsets.BQuarterBegin.is_anchored", "reference/api/pandas.tseries.offsets.BQuarterBegin.is_month_end", "reference/api/pandas.tseries.offsets.BQuarterBegin.is_month_start", "reference/api/pandas.tseries.offsets.BQuarterBegin.is_on_offset", "reference/api/pandas.tseries.offsets.BQuarterBegin.is_quarter_end", "reference/api/pandas.tseries.offsets.BQuarterBegin.is_quarter_start", "reference/api/pandas.tseries.offsets.BQuarterBegin.is_year_end", "reference/api/pandas.tseries.offsets.BQuarterBegin.is_year_start", "reference/api/pandas.tseries.offsets.BQuarterBegin.kwds", "reference/api/pandas.tseries.offsets.BQuarterBegin.n", "reference/api/pandas.tseries.offsets.BQuarterBegin.name", "reference/api/pandas.tseries.offsets.BQuarterBegin.nanos", "reference/api/pandas.tseries.offsets.BQuarterBegin.normalize", "reference/api/pandas.tseries.offsets.BQuarterBegin.rule_code", "reference/api/pandas.tseries.offsets.BQuarterBegin.startingMonth", "reference/api/pandas.tseries.offsets.BQuarterEnd", "reference/api/pandas.tseries.offsets.BQuarterEnd.copy", "reference/api/pandas.tseries.offsets.BQuarterEnd.freqstr", "reference/api/pandas.tseries.offsets.BQuarterEnd.is_anchored", "reference/api/pandas.tseries.offsets.BQuarterEnd.is_month_end", "reference/api/pandas.tseries.offsets.BQuarterEnd.is_month_start", "reference/api/pandas.tseries.offsets.BQuarterEnd.is_on_offset", "reference/api/pandas.tseries.offsets.BQuarterEnd.is_quarter_end", "reference/api/pandas.tseries.offsets.BQuarterEnd.is_quarter_start", "reference/api/pandas.tseries.offsets.BQuarterEnd.is_year_end", "reference/api/pandas.tseries.offsets.BQuarterEnd.is_year_start", "reference/api/pandas.tseries.offsets.BQuarterEnd.kwds", "reference/api/pandas.tseries.offsets.BQuarterEnd.n", "reference/api/pandas.tseries.offsets.BQuarterEnd.name", "reference/api/pandas.tseries.offsets.BQuarterEnd.nanos", "reference/api/pandas.tseries.offsets.BQuarterEnd.normalize", "reference/api/pandas.tseries.offsets.BQuarterEnd.rule_code", "reference/api/pandas.tseries.offsets.BQuarterEnd.startingMonth", "reference/api/pandas.tseries.offsets.BYearBegin", "reference/api/pandas.tseries.offsets.BYearBegin.copy", "reference/api/pandas.tseries.offsets.BYearBegin.freqstr", "reference/api/pandas.tseries.offsets.BYearBegin.is_anchored", "reference/api/pandas.tseries.offsets.BYearBegin.is_month_end", "reference/api/pandas.tseries.offsets.BYearBegin.is_month_start", "reference/api/pandas.tseries.offsets.BYearBegin.is_on_offset", "reference/api/pandas.tseries.offsets.BYearBegin.is_quarter_end", "reference/api/pandas.tseries.offsets.BYearBegin.is_quarter_start", "reference/api/pandas.tseries.offsets.BYearBegin.is_year_end", "reference/api/pandas.tseries.offsets.BYearBegin.is_year_start", "reference/api/pandas.tseries.offsets.BYearBegin.kwds", "reference/api/pandas.tseries.offsets.BYearBegin.month", "reference/api/pandas.tseries.offsets.BYearBegin.n", "reference/api/pandas.tseries.offsets.BYearBegin.name", "reference/api/pandas.tseries.offsets.BYearBegin.nanos", "reference/api/pandas.tseries.offsets.BYearBegin.normalize", "reference/api/pandas.tseries.offsets.BYearBegin.rule_code", "reference/api/pandas.tseries.offsets.BYearEnd", "reference/api/pandas.tseries.offsets.BYearEnd.copy", "reference/api/pandas.tseries.offsets.BYearEnd.freqstr", "reference/api/pandas.tseries.offsets.BYearEnd.is_anchored", "reference/api/pandas.tseries.offsets.BYearEnd.is_month_end", "reference/api/pandas.tseries.offsets.BYearEnd.is_month_start", "reference/api/pandas.tseries.offsets.BYearEnd.is_on_offset", "reference/api/pandas.tseries.offsets.BYearEnd.is_quarter_end", "reference/api/pandas.tseries.offsets.BYearEnd.is_quarter_start", "reference/api/pandas.tseries.offsets.BYearEnd.is_year_end", "reference/api/pandas.tseries.offsets.BYearEnd.is_year_start", "reference/api/pandas.tseries.offsets.BYearEnd.kwds", "reference/api/pandas.tseries.offsets.BYearEnd.month", "reference/api/pandas.tseries.offsets.BYearEnd.n", "reference/api/pandas.tseries.offsets.BYearEnd.name", "reference/api/pandas.tseries.offsets.BYearEnd.nanos", "reference/api/pandas.tseries.offsets.BYearEnd.normalize", "reference/api/pandas.tseries.offsets.BYearEnd.rule_code", "reference/api/pandas.tseries.offsets.BusinessDay", "reference/api/pandas.tseries.offsets.BusinessDay.calendar", "reference/api/pandas.tseries.offsets.BusinessDay.copy", "reference/api/pandas.tseries.offsets.BusinessDay.freqstr", "reference/api/pandas.tseries.offsets.BusinessDay.holidays", "reference/api/pandas.tseries.offsets.BusinessDay.is_anchored", "reference/api/pandas.tseries.offsets.BusinessDay.is_month_end", "reference/api/pandas.tseries.offsets.BusinessDay.is_month_start", "reference/api/pandas.tseries.offsets.BusinessDay.is_on_offset", "reference/api/pandas.tseries.offsets.BusinessDay.is_quarter_end", "reference/api/pandas.tseries.offsets.BusinessDay.is_quarter_start", "reference/api/pandas.tseries.offsets.BusinessDay.is_year_end", "reference/api/pandas.tseries.offsets.BusinessDay.is_year_start", "reference/api/pandas.tseries.offsets.BusinessDay.kwds", "reference/api/pandas.tseries.offsets.BusinessDay.n", "reference/api/pandas.tseries.offsets.BusinessDay.name", "reference/api/pandas.tseries.offsets.BusinessDay.nanos", "reference/api/pandas.tseries.offsets.BusinessDay.normalize", "reference/api/pandas.tseries.offsets.BusinessDay.rule_code", "reference/api/pandas.tseries.offsets.BusinessDay.weekmask", "reference/api/pandas.tseries.offsets.BusinessHour", "reference/api/pandas.tseries.offsets.BusinessHour.calendar", "reference/api/pandas.tseries.offsets.BusinessHour.copy", "reference/api/pandas.tseries.offsets.BusinessHour.end", "reference/api/pandas.tseries.offsets.BusinessHour.freqstr", "reference/api/pandas.tseries.offsets.BusinessHour.holidays", "reference/api/pandas.tseries.offsets.BusinessHour.is_anchored", "reference/api/pandas.tseries.offsets.BusinessHour.is_month_end", "reference/api/pandas.tseries.offsets.BusinessHour.is_month_start", "reference/api/pandas.tseries.offsets.BusinessHour.is_on_offset", "reference/api/pandas.tseries.offsets.BusinessHour.is_quarter_end", "reference/api/pandas.tseries.offsets.BusinessHour.is_quarter_start", "reference/api/pandas.tseries.offsets.BusinessHour.is_year_end", "reference/api/pandas.tseries.offsets.BusinessHour.is_year_start", "reference/api/pandas.tseries.offsets.BusinessHour.kwds", "reference/api/pandas.tseries.offsets.BusinessHour.n", "reference/api/pandas.tseries.offsets.BusinessHour.name", "reference/api/pandas.tseries.offsets.BusinessHour.nanos", "reference/api/pandas.tseries.offsets.BusinessHour.normalize", "reference/api/pandas.tseries.offsets.BusinessHour.rule_code", "reference/api/pandas.tseries.offsets.BusinessHour.start", "reference/api/pandas.tseries.offsets.BusinessHour.weekmask", "reference/api/pandas.tseries.offsets.BusinessMonthBegin", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.copy", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.freqstr", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.is_anchored", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.is_month_end", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.is_month_start", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.is_on_offset", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.is_quarter_end", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.is_quarter_start", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.is_year_end", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.is_year_start", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.kwds", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.n", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.name", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.nanos", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.normalize", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.rule_code", "reference/api/pandas.tseries.offsets.BusinessMonthEnd", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.copy", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.freqstr", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.is_anchored", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.is_month_end", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.is_month_start", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.is_on_offset", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.is_quarter_end", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.is_quarter_start", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.is_year_end", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.is_year_start", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.kwds", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.n", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.name", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.nanos", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.normalize", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.rule_code", "reference/api/pandas.tseries.offsets.CBMonthBegin", "reference/api/pandas.tseries.offsets.CBMonthEnd", "reference/api/pandas.tseries.offsets.CDay", "reference/api/pandas.tseries.offsets.CustomBusinessDay", "reference/api/pandas.tseries.offsets.CustomBusinessDay.calendar", "reference/api/pandas.tseries.offsets.CustomBusinessDay.copy", "reference/api/pandas.tseries.offsets.CustomBusinessDay.freqstr", "reference/api/pandas.tseries.offsets.CustomBusinessDay.holidays", "reference/api/pandas.tseries.offsets.CustomBusinessDay.is_anchored", "reference/api/pandas.tseries.offsets.CustomBusinessDay.is_month_end", "reference/api/pandas.tseries.offsets.CustomBusinessDay.is_month_start", "reference/api/pandas.tseries.offsets.CustomBusinessDay.is_on_offset", "reference/api/pandas.tseries.offsets.CustomBusinessDay.is_quarter_end", "reference/api/pandas.tseries.offsets.CustomBusinessDay.is_quarter_start", "reference/api/pandas.tseries.offsets.CustomBusinessDay.is_year_end", "reference/api/pandas.tseries.offsets.CustomBusinessDay.is_year_start", "reference/api/pandas.tseries.offsets.CustomBusinessDay.kwds", "reference/api/pandas.tseries.offsets.CustomBusinessDay.n", "reference/api/pandas.tseries.offsets.CustomBusinessDay.name", "reference/api/pandas.tseries.offsets.CustomBusinessDay.nanos", "reference/api/pandas.tseries.offsets.CustomBusinessDay.normalize", "reference/api/pandas.tseries.offsets.CustomBusinessDay.rule_code", "reference/api/pandas.tseries.offsets.CustomBusinessDay.weekmask", "reference/api/pandas.tseries.offsets.CustomBusinessHour", "reference/api/pandas.tseries.offsets.CustomBusinessHour.calendar", "reference/api/pandas.tseries.offsets.CustomBusinessHour.copy", "reference/api/pandas.tseries.offsets.CustomBusinessHour.end", "reference/api/pandas.tseries.offsets.CustomBusinessHour.freqstr", "reference/api/pandas.tseries.offsets.CustomBusinessHour.holidays", "reference/api/pandas.tseries.offsets.CustomBusinessHour.is_anchored", "reference/api/pandas.tseries.offsets.CustomBusinessHour.is_month_end", "reference/api/pandas.tseries.offsets.CustomBusinessHour.is_month_start", "reference/api/pandas.tseries.offsets.CustomBusinessHour.is_on_offset", "reference/api/pandas.tseries.offsets.CustomBusinessHour.is_quarter_end", "reference/api/pandas.tseries.offsets.CustomBusinessHour.is_quarter_start", "reference/api/pandas.tseries.offsets.CustomBusinessHour.is_year_end", "reference/api/pandas.tseries.offsets.CustomBusinessHour.is_year_start", "reference/api/pandas.tseries.offsets.CustomBusinessHour.kwds", "reference/api/pandas.tseries.offsets.CustomBusinessHour.n", "reference/api/pandas.tseries.offsets.CustomBusinessHour.name", "reference/api/pandas.tseries.offsets.CustomBusinessHour.nanos", "reference/api/pandas.tseries.offsets.CustomBusinessHour.normalize", "reference/api/pandas.tseries.offsets.CustomBusinessHour.rule_code", "reference/api/pandas.tseries.offsets.CustomBusinessHour.start", "reference/api/pandas.tseries.offsets.CustomBusinessHour.weekmask", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.calendar", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.copy", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.freqstr", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.holidays", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.is_anchored", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.is_month_end", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.is_month_start", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.is_on_offset", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.is_quarter_end", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.is_quarter_start", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.is_year_end", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.is_year_start", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.kwds", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.m_offset", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.n", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.name", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.nanos", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.normalize", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.rule_code", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.weekmask", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.calendar", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.copy", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.freqstr", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.holidays", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.is_anchored", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.is_month_end", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.is_month_start", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.is_on_offset", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.is_quarter_end", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.is_quarter_start", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.is_year_end", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.is_year_start", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.kwds", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.m_offset", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.n", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.name", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.nanos", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.normalize", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.rule_code", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.weekmask", "reference/api/pandas.tseries.offsets.DateOffset", "reference/api/pandas.tseries.offsets.DateOffset.copy", "reference/api/pandas.tseries.offsets.DateOffset.freqstr", "reference/api/pandas.tseries.offsets.DateOffset.is_anchored", "reference/api/pandas.tseries.offsets.DateOffset.is_month_end", "reference/api/pandas.tseries.offsets.DateOffset.is_month_start", "reference/api/pandas.tseries.offsets.DateOffset.is_on_offset", "reference/api/pandas.tseries.offsets.DateOffset.is_quarter_end", "reference/api/pandas.tseries.offsets.DateOffset.is_quarter_start", "reference/api/pandas.tseries.offsets.DateOffset.is_year_end", "reference/api/pandas.tseries.offsets.DateOffset.is_year_start", "reference/api/pandas.tseries.offsets.DateOffset.kwds", "reference/api/pandas.tseries.offsets.DateOffset.n", "reference/api/pandas.tseries.offsets.DateOffset.name", "reference/api/pandas.tseries.offsets.DateOffset.nanos", "reference/api/pandas.tseries.offsets.DateOffset.normalize", "reference/api/pandas.tseries.offsets.DateOffset.rule_code", "reference/api/pandas.tseries.offsets.Day", "reference/api/pandas.tseries.offsets.Day.copy", "reference/api/pandas.tseries.offsets.Day.delta", "reference/api/pandas.tseries.offsets.Day.freqstr", "reference/api/pandas.tseries.offsets.Day.is_anchored", "reference/api/pandas.tseries.offsets.Day.is_month_end", "reference/api/pandas.tseries.offsets.Day.is_month_start", "reference/api/pandas.tseries.offsets.Day.is_on_offset", "reference/api/pandas.tseries.offsets.Day.is_quarter_end", "reference/api/pandas.tseries.offsets.Day.is_quarter_start", "reference/api/pandas.tseries.offsets.Day.is_year_end", "reference/api/pandas.tseries.offsets.Day.is_year_start", "reference/api/pandas.tseries.offsets.Day.kwds", "reference/api/pandas.tseries.offsets.Day.n", "reference/api/pandas.tseries.offsets.Day.name", "reference/api/pandas.tseries.offsets.Day.nanos", "reference/api/pandas.tseries.offsets.Day.normalize", "reference/api/pandas.tseries.offsets.Day.rule_code", "reference/api/pandas.tseries.offsets.Easter", "reference/api/pandas.tseries.offsets.Easter.copy", "reference/api/pandas.tseries.offsets.Easter.freqstr", "reference/api/pandas.tseries.offsets.Easter.is_anchored", "reference/api/pandas.tseries.offsets.Easter.is_month_end", "reference/api/pandas.tseries.offsets.Easter.is_month_start", "reference/api/pandas.tseries.offsets.Easter.is_on_offset", "reference/api/pandas.tseries.offsets.Easter.is_quarter_end", "reference/api/pandas.tseries.offsets.Easter.is_quarter_start", "reference/api/pandas.tseries.offsets.Easter.is_year_end", "reference/api/pandas.tseries.offsets.Easter.is_year_start", "reference/api/pandas.tseries.offsets.Easter.kwds", "reference/api/pandas.tseries.offsets.Easter.n", "reference/api/pandas.tseries.offsets.Easter.name", "reference/api/pandas.tseries.offsets.Easter.nanos", "reference/api/pandas.tseries.offsets.Easter.normalize", "reference/api/pandas.tseries.offsets.Easter.rule_code", "reference/api/pandas.tseries.offsets.FY5253", "reference/api/pandas.tseries.offsets.FY5253.copy", "reference/api/pandas.tseries.offsets.FY5253.freqstr", "reference/api/pandas.tseries.offsets.FY5253.get_rule_code_suffix", "reference/api/pandas.tseries.offsets.FY5253.get_year_end", "reference/api/pandas.tseries.offsets.FY5253.is_anchored", "reference/api/pandas.tseries.offsets.FY5253.is_month_end", "reference/api/pandas.tseries.offsets.FY5253.is_month_start", "reference/api/pandas.tseries.offsets.FY5253.is_on_offset", "reference/api/pandas.tseries.offsets.FY5253.is_quarter_end", "reference/api/pandas.tseries.offsets.FY5253.is_quarter_start", "reference/api/pandas.tseries.offsets.FY5253.is_year_end", "reference/api/pandas.tseries.offsets.FY5253.is_year_start", "reference/api/pandas.tseries.offsets.FY5253.kwds", "reference/api/pandas.tseries.offsets.FY5253.n", "reference/api/pandas.tseries.offsets.FY5253.name", "reference/api/pandas.tseries.offsets.FY5253.nanos", "reference/api/pandas.tseries.offsets.FY5253.normalize", "reference/api/pandas.tseries.offsets.FY5253.rule_code", "reference/api/pandas.tseries.offsets.FY5253.startingMonth", "reference/api/pandas.tseries.offsets.FY5253.variation", "reference/api/pandas.tseries.offsets.FY5253.weekday", "reference/api/pandas.tseries.offsets.FY5253Quarter", "reference/api/pandas.tseries.offsets.FY5253Quarter.copy", "reference/api/pandas.tseries.offsets.FY5253Quarter.freqstr", "reference/api/pandas.tseries.offsets.FY5253Quarter.get_rule_code_suffix", "reference/api/pandas.tseries.offsets.FY5253Quarter.get_weeks", "reference/api/pandas.tseries.offsets.FY5253Quarter.is_anchored", "reference/api/pandas.tseries.offsets.FY5253Quarter.is_month_end", "reference/api/pandas.tseries.offsets.FY5253Quarter.is_month_start", "reference/api/pandas.tseries.offsets.FY5253Quarter.is_on_offset", "reference/api/pandas.tseries.offsets.FY5253Quarter.is_quarter_end", "reference/api/pandas.tseries.offsets.FY5253Quarter.is_quarter_start", "reference/api/pandas.tseries.offsets.FY5253Quarter.is_year_end", "reference/api/pandas.tseries.offsets.FY5253Quarter.is_year_start", "reference/api/pandas.tseries.offsets.FY5253Quarter.kwds", "reference/api/pandas.tseries.offsets.FY5253Quarter.n", "reference/api/pandas.tseries.offsets.FY5253Quarter.name", "reference/api/pandas.tseries.offsets.FY5253Quarter.nanos", "reference/api/pandas.tseries.offsets.FY5253Quarter.normalize", "reference/api/pandas.tseries.offsets.FY5253Quarter.qtr_with_extra_week", "reference/api/pandas.tseries.offsets.FY5253Quarter.rule_code", "reference/api/pandas.tseries.offsets.FY5253Quarter.startingMonth", "reference/api/pandas.tseries.offsets.FY5253Quarter.variation", "reference/api/pandas.tseries.offsets.FY5253Quarter.weekday", "reference/api/pandas.tseries.offsets.FY5253Quarter.year_has_extra_week", "reference/api/pandas.tseries.offsets.Hour", "reference/api/pandas.tseries.offsets.Hour.copy", "reference/api/pandas.tseries.offsets.Hour.delta", "reference/api/pandas.tseries.offsets.Hour.freqstr", "reference/api/pandas.tseries.offsets.Hour.is_anchored", "reference/api/pandas.tseries.offsets.Hour.is_month_end", "reference/api/pandas.tseries.offsets.Hour.is_month_start", "reference/api/pandas.tseries.offsets.Hour.is_on_offset", "reference/api/pandas.tseries.offsets.Hour.is_quarter_end", "reference/api/pandas.tseries.offsets.Hour.is_quarter_start", "reference/api/pandas.tseries.offsets.Hour.is_year_end", "reference/api/pandas.tseries.offsets.Hour.is_year_start", "reference/api/pandas.tseries.offsets.Hour.kwds", "reference/api/pandas.tseries.offsets.Hour.n", "reference/api/pandas.tseries.offsets.Hour.name", "reference/api/pandas.tseries.offsets.Hour.nanos", "reference/api/pandas.tseries.offsets.Hour.normalize", "reference/api/pandas.tseries.offsets.Hour.rule_code", "reference/api/pandas.tseries.offsets.LastWeekOfMonth", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.copy", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.freqstr", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.is_anchored", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.is_month_end", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.is_month_start", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.is_on_offset", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.is_quarter_end", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.is_quarter_start", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.is_year_end", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.is_year_start", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.kwds", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.n", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.name", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.nanos", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.normalize", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.rule_code", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.week", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.weekday", "reference/api/pandas.tseries.offsets.Micro", "reference/api/pandas.tseries.offsets.Micro.copy", "reference/api/pandas.tseries.offsets.Micro.delta", "reference/api/pandas.tseries.offsets.Micro.freqstr", "reference/api/pandas.tseries.offsets.Micro.is_anchored", "reference/api/pandas.tseries.offsets.Micro.is_month_end", "reference/api/pandas.tseries.offsets.Micro.is_month_start", "reference/api/pandas.tseries.offsets.Micro.is_on_offset", "reference/api/pandas.tseries.offsets.Micro.is_quarter_end", "reference/api/pandas.tseries.offsets.Micro.is_quarter_start", "reference/api/pandas.tseries.offsets.Micro.is_year_end", "reference/api/pandas.tseries.offsets.Micro.is_year_start", "reference/api/pandas.tseries.offsets.Micro.kwds", "reference/api/pandas.tseries.offsets.Micro.n", "reference/api/pandas.tseries.offsets.Micro.name", "reference/api/pandas.tseries.offsets.Micro.nanos", "reference/api/pandas.tseries.offsets.Micro.normalize", "reference/api/pandas.tseries.offsets.Micro.rule_code", "reference/api/pandas.tseries.offsets.Milli", "reference/api/pandas.tseries.offsets.Milli.copy", "reference/api/pandas.tseries.offsets.Milli.delta", "reference/api/pandas.tseries.offsets.Milli.freqstr", "reference/api/pandas.tseries.offsets.Milli.is_anchored", "reference/api/pandas.tseries.offsets.Milli.is_month_end", "reference/api/pandas.tseries.offsets.Milli.is_month_start", "reference/api/pandas.tseries.offsets.Milli.is_on_offset", "reference/api/pandas.tseries.offsets.Milli.is_quarter_end", "reference/api/pandas.tseries.offsets.Milli.is_quarter_start", "reference/api/pandas.tseries.offsets.Milli.is_year_end", "reference/api/pandas.tseries.offsets.Milli.is_year_start", "reference/api/pandas.tseries.offsets.Milli.kwds", "reference/api/pandas.tseries.offsets.Milli.n", "reference/api/pandas.tseries.offsets.Milli.name", "reference/api/pandas.tseries.offsets.Milli.nanos", "reference/api/pandas.tseries.offsets.Milli.normalize", "reference/api/pandas.tseries.offsets.Milli.rule_code", "reference/api/pandas.tseries.offsets.Minute", "reference/api/pandas.tseries.offsets.Minute.copy", "reference/api/pandas.tseries.offsets.Minute.delta", "reference/api/pandas.tseries.offsets.Minute.freqstr", "reference/api/pandas.tseries.offsets.Minute.is_anchored", "reference/api/pandas.tseries.offsets.Minute.is_month_end", "reference/api/pandas.tseries.offsets.Minute.is_month_start", "reference/api/pandas.tseries.offsets.Minute.is_on_offset", "reference/api/pandas.tseries.offsets.Minute.is_quarter_end", "reference/api/pandas.tseries.offsets.Minute.is_quarter_start", "reference/api/pandas.tseries.offsets.Minute.is_year_end", "reference/api/pandas.tseries.offsets.Minute.is_year_start", "reference/api/pandas.tseries.offsets.Minute.kwds", "reference/api/pandas.tseries.offsets.Minute.n", "reference/api/pandas.tseries.offsets.Minute.name", "reference/api/pandas.tseries.offsets.Minute.nanos", "reference/api/pandas.tseries.offsets.Minute.normalize", "reference/api/pandas.tseries.offsets.Minute.rule_code", "reference/api/pandas.tseries.offsets.MonthBegin", "reference/api/pandas.tseries.offsets.MonthBegin.copy", "reference/api/pandas.tseries.offsets.MonthBegin.freqstr", "reference/api/pandas.tseries.offsets.MonthBegin.is_anchored", "reference/api/pandas.tseries.offsets.MonthBegin.is_month_end", "reference/api/pandas.tseries.offsets.MonthBegin.is_month_start", "reference/api/pandas.tseries.offsets.MonthBegin.is_on_offset", "reference/api/pandas.tseries.offsets.MonthBegin.is_quarter_end", "reference/api/pandas.tseries.offsets.MonthBegin.is_quarter_start", "reference/api/pandas.tseries.offsets.MonthBegin.is_year_end", "reference/api/pandas.tseries.offsets.MonthBegin.is_year_start", "reference/api/pandas.tseries.offsets.MonthBegin.kwds", "reference/api/pandas.tseries.offsets.MonthBegin.n", "reference/api/pandas.tseries.offsets.MonthBegin.name", "reference/api/pandas.tseries.offsets.MonthBegin.nanos", "reference/api/pandas.tseries.offsets.MonthBegin.normalize", "reference/api/pandas.tseries.offsets.MonthBegin.rule_code", "reference/api/pandas.tseries.offsets.MonthEnd", "reference/api/pandas.tseries.offsets.MonthEnd.copy", "reference/api/pandas.tseries.offsets.MonthEnd.freqstr", "reference/api/pandas.tseries.offsets.MonthEnd.is_anchored", "reference/api/pandas.tseries.offsets.MonthEnd.is_month_end", "reference/api/pandas.tseries.offsets.MonthEnd.is_month_start", "reference/api/pandas.tseries.offsets.MonthEnd.is_on_offset", "reference/api/pandas.tseries.offsets.MonthEnd.is_quarter_end", "reference/api/pandas.tseries.offsets.MonthEnd.is_quarter_start", "reference/api/pandas.tseries.offsets.MonthEnd.is_year_end", "reference/api/pandas.tseries.offsets.MonthEnd.is_year_start", "reference/api/pandas.tseries.offsets.MonthEnd.kwds", "reference/api/pandas.tseries.offsets.MonthEnd.n", "reference/api/pandas.tseries.offsets.MonthEnd.name", "reference/api/pandas.tseries.offsets.MonthEnd.nanos", "reference/api/pandas.tseries.offsets.MonthEnd.normalize", "reference/api/pandas.tseries.offsets.MonthEnd.rule_code", "reference/api/pandas.tseries.offsets.Nano", "reference/api/pandas.tseries.offsets.Nano.copy", "reference/api/pandas.tseries.offsets.Nano.delta", "reference/api/pandas.tseries.offsets.Nano.freqstr", "reference/api/pandas.tseries.offsets.Nano.is_anchored", "reference/api/pandas.tseries.offsets.Nano.is_month_end", "reference/api/pandas.tseries.offsets.Nano.is_month_start", "reference/api/pandas.tseries.offsets.Nano.is_on_offset", "reference/api/pandas.tseries.offsets.Nano.is_quarter_end", "reference/api/pandas.tseries.offsets.Nano.is_quarter_start", "reference/api/pandas.tseries.offsets.Nano.is_year_end", "reference/api/pandas.tseries.offsets.Nano.is_year_start", "reference/api/pandas.tseries.offsets.Nano.kwds", "reference/api/pandas.tseries.offsets.Nano.n", "reference/api/pandas.tseries.offsets.Nano.name", "reference/api/pandas.tseries.offsets.Nano.nanos", "reference/api/pandas.tseries.offsets.Nano.normalize", "reference/api/pandas.tseries.offsets.Nano.rule_code", "reference/api/pandas.tseries.offsets.QuarterBegin", "reference/api/pandas.tseries.offsets.QuarterBegin.copy", "reference/api/pandas.tseries.offsets.QuarterBegin.freqstr", "reference/api/pandas.tseries.offsets.QuarterBegin.is_anchored", "reference/api/pandas.tseries.offsets.QuarterBegin.is_month_end", "reference/api/pandas.tseries.offsets.QuarterBegin.is_month_start", "reference/api/pandas.tseries.offsets.QuarterBegin.is_on_offset", "reference/api/pandas.tseries.offsets.QuarterBegin.is_quarter_end", "reference/api/pandas.tseries.offsets.QuarterBegin.is_quarter_start", "reference/api/pandas.tseries.offsets.QuarterBegin.is_year_end", "reference/api/pandas.tseries.offsets.QuarterBegin.is_year_start", "reference/api/pandas.tseries.offsets.QuarterBegin.kwds", "reference/api/pandas.tseries.offsets.QuarterBegin.n", "reference/api/pandas.tseries.offsets.QuarterBegin.name", "reference/api/pandas.tseries.offsets.QuarterBegin.nanos", "reference/api/pandas.tseries.offsets.QuarterBegin.normalize", "reference/api/pandas.tseries.offsets.QuarterBegin.rule_code", "reference/api/pandas.tseries.offsets.QuarterBegin.startingMonth", "reference/api/pandas.tseries.offsets.QuarterEnd", "reference/api/pandas.tseries.offsets.QuarterEnd.copy", "reference/api/pandas.tseries.offsets.QuarterEnd.freqstr", "reference/api/pandas.tseries.offsets.QuarterEnd.is_anchored", "reference/api/pandas.tseries.offsets.QuarterEnd.is_month_end", "reference/api/pandas.tseries.offsets.QuarterEnd.is_month_start", "reference/api/pandas.tseries.offsets.QuarterEnd.is_on_offset", "reference/api/pandas.tseries.offsets.QuarterEnd.is_quarter_end", "reference/api/pandas.tseries.offsets.QuarterEnd.is_quarter_start", "reference/api/pandas.tseries.offsets.QuarterEnd.is_year_end", "reference/api/pandas.tseries.offsets.QuarterEnd.is_year_start", "reference/api/pandas.tseries.offsets.QuarterEnd.kwds", "reference/api/pandas.tseries.offsets.QuarterEnd.n", "reference/api/pandas.tseries.offsets.QuarterEnd.name", "reference/api/pandas.tseries.offsets.QuarterEnd.nanos", "reference/api/pandas.tseries.offsets.QuarterEnd.normalize", "reference/api/pandas.tseries.offsets.QuarterEnd.rule_code", "reference/api/pandas.tseries.offsets.QuarterEnd.startingMonth", "reference/api/pandas.tseries.offsets.Second", "reference/api/pandas.tseries.offsets.Second.copy", "reference/api/pandas.tseries.offsets.Second.delta", "reference/api/pandas.tseries.offsets.Second.freqstr", "reference/api/pandas.tseries.offsets.Second.is_anchored", "reference/api/pandas.tseries.offsets.Second.is_month_end", "reference/api/pandas.tseries.offsets.Second.is_month_start", "reference/api/pandas.tseries.offsets.Second.is_on_offset", "reference/api/pandas.tseries.offsets.Second.is_quarter_end", "reference/api/pandas.tseries.offsets.Second.is_quarter_start", "reference/api/pandas.tseries.offsets.Second.is_year_end", "reference/api/pandas.tseries.offsets.Second.is_year_start", "reference/api/pandas.tseries.offsets.Second.kwds", "reference/api/pandas.tseries.offsets.Second.n", "reference/api/pandas.tseries.offsets.Second.name", "reference/api/pandas.tseries.offsets.Second.nanos", "reference/api/pandas.tseries.offsets.Second.normalize", "reference/api/pandas.tseries.offsets.Second.rule_code", "reference/api/pandas.tseries.offsets.SemiMonthBegin", "reference/api/pandas.tseries.offsets.SemiMonthBegin.copy", "reference/api/pandas.tseries.offsets.SemiMonthBegin.day_of_month", "reference/api/pandas.tseries.offsets.SemiMonthBegin.freqstr", "reference/api/pandas.tseries.offsets.SemiMonthBegin.is_anchored", "reference/api/pandas.tseries.offsets.SemiMonthBegin.is_month_end", "reference/api/pandas.tseries.offsets.SemiMonthBegin.is_month_start", "reference/api/pandas.tseries.offsets.SemiMonthBegin.is_on_offset", "reference/api/pandas.tseries.offsets.SemiMonthBegin.is_quarter_end", "reference/api/pandas.tseries.offsets.SemiMonthBegin.is_quarter_start", "reference/api/pandas.tseries.offsets.SemiMonthBegin.is_year_end", "reference/api/pandas.tseries.offsets.SemiMonthBegin.is_year_start", "reference/api/pandas.tseries.offsets.SemiMonthBegin.kwds", "reference/api/pandas.tseries.offsets.SemiMonthBegin.n", "reference/api/pandas.tseries.offsets.SemiMonthBegin.name", "reference/api/pandas.tseries.offsets.SemiMonthBegin.nanos", "reference/api/pandas.tseries.offsets.SemiMonthBegin.normalize", "reference/api/pandas.tseries.offsets.SemiMonthBegin.rule_code", "reference/api/pandas.tseries.offsets.SemiMonthEnd", "reference/api/pandas.tseries.offsets.SemiMonthEnd.copy", "reference/api/pandas.tseries.offsets.SemiMonthEnd.day_of_month", "reference/api/pandas.tseries.offsets.SemiMonthEnd.freqstr", "reference/api/pandas.tseries.offsets.SemiMonthEnd.is_anchored", "reference/api/pandas.tseries.offsets.SemiMonthEnd.is_month_end", "reference/api/pandas.tseries.offsets.SemiMonthEnd.is_month_start", "reference/api/pandas.tseries.offsets.SemiMonthEnd.is_on_offset", "reference/api/pandas.tseries.offsets.SemiMonthEnd.is_quarter_end", "reference/api/pandas.tseries.offsets.SemiMonthEnd.is_quarter_start", "reference/api/pandas.tseries.offsets.SemiMonthEnd.is_year_end", "reference/api/pandas.tseries.offsets.SemiMonthEnd.is_year_start", "reference/api/pandas.tseries.offsets.SemiMonthEnd.kwds", "reference/api/pandas.tseries.offsets.SemiMonthEnd.n", "reference/api/pandas.tseries.offsets.SemiMonthEnd.name", "reference/api/pandas.tseries.offsets.SemiMonthEnd.nanos", "reference/api/pandas.tseries.offsets.SemiMonthEnd.normalize", "reference/api/pandas.tseries.offsets.SemiMonthEnd.rule_code", "reference/api/pandas.tseries.offsets.Tick", "reference/api/pandas.tseries.offsets.Tick.copy", "reference/api/pandas.tseries.offsets.Tick.delta", "reference/api/pandas.tseries.offsets.Tick.freqstr", "reference/api/pandas.tseries.offsets.Tick.is_anchored", "reference/api/pandas.tseries.offsets.Tick.is_month_end", "reference/api/pandas.tseries.offsets.Tick.is_month_start", "reference/api/pandas.tseries.offsets.Tick.is_on_offset", "reference/api/pandas.tseries.offsets.Tick.is_quarter_end", "reference/api/pandas.tseries.offsets.Tick.is_quarter_start", "reference/api/pandas.tseries.offsets.Tick.is_year_end", "reference/api/pandas.tseries.offsets.Tick.is_year_start", "reference/api/pandas.tseries.offsets.Tick.kwds", "reference/api/pandas.tseries.offsets.Tick.n", "reference/api/pandas.tseries.offsets.Tick.name", "reference/api/pandas.tseries.offsets.Tick.nanos", "reference/api/pandas.tseries.offsets.Tick.normalize", "reference/api/pandas.tseries.offsets.Tick.rule_code", "reference/api/pandas.tseries.offsets.Week", "reference/api/pandas.tseries.offsets.Week.copy", "reference/api/pandas.tseries.offsets.Week.freqstr", "reference/api/pandas.tseries.offsets.Week.is_anchored", "reference/api/pandas.tseries.offsets.Week.is_month_end", "reference/api/pandas.tseries.offsets.Week.is_month_start", "reference/api/pandas.tseries.offsets.Week.is_on_offset", "reference/api/pandas.tseries.offsets.Week.is_quarter_end", "reference/api/pandas.tseries.offsets.Week.is_quarter_start", "reference/api/pandas.tseries.offsets.Week.is_year_end", "reference/api/pandas.tseries.offsets.Week.is_year_start", "reference/api/pandas.tseries.offsets.Week.kwds", "reference/api/pandas.tseries.offsets.Week.n", "reference/api/pandas.tseries.offsets.Week.name", "reference/api/pandas.tseries.offsets.Week.nanos", "reference/api/pandas.tseries.offsets.Week.normalize", "reference/api/pandas.tseries.offsets.Week.rule_code", "reference/api/pandas.tseries.offsets.Week.weekday", "reference/api/pandas.tseries.offsets.WeekOfMonth", "reference/api/pandas.tseries.offsets.WeekOfMonth.copy", "reference/api/pandas.tseries.offsets.WeekOfMonth.freqstr", "reference/api/pandas.tseries.offsets.WeekOfMonth.is_anchored", "reference/api/pandas.tseries.offsets.WeekOfMonth.is_month_end", "reference/api/pandas.tseries.offsets.WeekOfMonth.is_month_start", "reference/api/pandas.tseries.offsets.WeekOfMonth.is_on_offset", "reference/api/pandas.tseries.offsets.WeekOfMonth.is_quarter_end", "reference/api/pandas.tseries.offsets.WeekOfMonth.is_quarter_start", "reference/api/pandas.tseries.offsets.WeekOfMonth.is_year_end", "reference/api/pandas.tseries.offsets.WeekOfMonth.is_year_start", "reference/api/pandas.tseries.offsets.WeekOfMonth.kwds", "reference/api/pandas.tseries.offsets.WeekOfMonth.n", "reference/api/pandas.tseries.offsets.WeekOfMonth.name", "reference/api/pandas.tseries.offsets.WeekOfMonth.nanos", "reference/api/pandas.tseries.offsets.WeekOfMonth.normalize", "reference/api/pandas.tseries.offsets.WeekOfMonth.rule_code", "reference/api/pandas.tseries.offsets.WeekOfMonth.week", "reference/api/pandas.tseries.offsets.WeekOfMonth.weekday", "reference/api/pandas.tseries.offsets.YearBegin", "reference/api/pandas.tseries.offsets.YearBegin.copy", "reference/api/pandas.tseries.offsets.YearBegin.freqstr", "reference/api/pandas.tseries.offsets.YearBegin.is_anchored", "reference/api/pandas.tseries.offsets.YearBegin.is_month_end", "reference/api/pandas.tseries.offsets.YearBegin.is_month_start", "reference/api/pandas.tseries.offsets.YearBegin.is_on_offset", "reference/api/pandas.tseries.offsets.YearBegin.is_quarter_end", "reference/api/pandas.tseries.offsets.YearBegin.is_quarter_start", "reference/api/pandas.tseries.offsets.YearBegin.is_year_end", "reference/api/pandas.tseries.offsets.YearBegin.is_year_start", "reference/api/pandas.tseries.offsets.YearBegin.kwds", "reference/api/pandas.tseries.offsets.YearBegin.month", "reference/api/pandas.tseries.offsets.YearBegin.n", "reference/api/pandas.tseries.offsets.YearBegin.name", "reference/api/pandas.tseries.offsets.YearBegin.nanos", "reference/api/pandas.tseries.offsets.YearBegin.normalize", "reference/api/pandas.tseries.offsets.YearBegin.rule_code", "reference/api/pandas.tseries.offsets.YearEnd", "reference/api/pandas.tseries.offsets.YearEnd.copy", "reference/api/pandas.tseries.offsets.YearEnd.freqstr", "reference/api/pandas.tseries.offsets.YearEnd.is_anchored", "reference/api/pandas.tseries.offsets.YearEnd.is_month_end", "reference/api/pandas.tseries.offsets.YearEnd.is_month_start", "reference/api/pandas.tseries.offsets.YearEnd.is_on_offset", "reference/api/pandas.tseries.offsets.YearEnd.is_quarter_end", "reference/api/pandas.tseries.offsets.YearEnd.is_quarter_start", "reference/api/pandas.tseries.offsets.YearEnd.is_year_end", "reference/api/pandas.tseries.offsets.YearEnd.is_year_start", "reference/api/pandas.tseries.offsets.YearEnd.kwds", "reference/api/pandas.tseries.offsets.YearEnd.month", "reference/api/pandas.tseries.offsets.YearEnd.n", "reference/api/pandas.tseries.offsets.YearEnd.name", "reference/api/pandas.tseries.offsets.YearEnd.nanos", "reference/api/pandas.tseries.offsets.YearEnd.normalize", "reference/api/pandas.tseries.offsets.YearEnd.rule_code", "reference/api/pandas.unique", "reference/api/pandas.util.hash_array", "reference/api/pandas.util.hash_pandas_object", "reference/api/pandas.wide_to_long", "reference/arrays", "reference/extensions", "reference/frame", "reference/general_functions", "reference/groupby", "reference/index", "reference/indexing", "reference/io", "reference/missing_value", "reference/offset_frequency", "reference/options", "reference/plotting", "reference/resampling", "reference/series", "reference/style", "reference/testing", "reference/window", "user_guide/10min", "user_guide/advanced", "user_guide/basics", "user_guide/boolean", "user_guide/categorical", "user_guide/cookbook", "user_guide/copy_on_write", "user_guide/dsintro", "user_guide/duplicates", "user_guide/enhancingperf", "user_guide/gotchas", "user_guide/groupby", "user_guide/index", "user_guide/indexing", "user_guide/integer_na", "user_guide/io", "user_guide/merging", "user_guide/missing_data", "user_guide/options", "user_guide/pyarrow", "user_guide/reshaping", "user_guide/scale", "user_guide/sparse", "user_guide/style", "user_guide/text", "user_guide/timedeltas", "user_guide/timeseries", "user_guide/visualization", "user_guide/window", "whatsnew/index", "whatsnew/v0.10.0", "whatsnew/v0.10.1", "whatsnew/v0.11.0", "whatsnew/v0.12.0", "whatsnew/v0.13.0", "whatsnew/v0.13.1", "whatsnew/v0.14.0", "whatsnew/v0.14.1", "whatsnew/v0.15.0", "whatsnew/v0.15.1", "whatsnew/v0.15.2", "whatsnew/v0.16.0", "whatsnew/v0.16.1", "whatsnew/v0.16.2", "whatsnew/v0.17.0", "whatsnew/v0.17.1", "whatsnew/v0.18.0", "whatsnew/v0.18.1", "whatsnew/v0.19.0", "whatsnew/v0.19.1", "whatsnew/v0.19.2", "whatsnew/v0.20.0", "whatsnew/v0.20.2", "whatsnew/v0.20.3", "whatsnew/v0.21.0", "whatsnew/v0.21.1", "whatsnew/v0.22.0", "whatsnew/v0.23.0", "whatsnew/v0.23.1", "whatsnew/v0.23.2", "whatsnew/v0.23.3", "whatsnew/v0.23.4", "whatsnew/v0.24.0", "whatsnew/v0.24.1", "whatsnew/v0.24.2", "whatsnew/v0.25.0", "whatsnew/v0.25.1", "whatsnew/v0.25.2", "whatsnew/v0.25.3", "whatsnew/v0.4.x", "whatsnew/v0.5.0", "whatsnew/v0.6.0", "whatsnew/v0.6.1", "whatsnew/v0.7.0", "whatsnew/v0.7.1", "whatsnew/v0.7.2", "whatsnew/v0.7.3", "whatsnew/v0.8.0", "whatsnew/v0.8.1", "whatsnew/v0.9.0", "whatsnew/v0.9.1", "whatsnew/v1.0.0", "whatsnew/v1.0.1", "whatsnew/v1.0.2", "whatsnew/v1.0.3", "whatsnew/v1.0.4", "whatsnew/v1.0.5", "whatsnew/v1.1.0", "whatsnew/v1.1.1", "whatsnew/v1.1.2", "whatsnew/v1.1.3", "whatsnew/v1.1.4", "whatsnew/v1.1.5", "whatsnew/v1.2.0", "whatsnew/v1.2.1", "whatsnew/v1.2.2", "whatsnew/v1.2.3", "whatsnew/v1.2.4", "whatsnew/v1.2.5", "whatsnew/v1.3.0", "whatsnew/v1.3.1", "whatsnew/v1.3.2", "whatsnew/v1.3.3", "whatsnew/v1.3.4", "whatsnew/v1.3.5", "whatsnew/v1.4.0", "whatsnew/v1.4.1", "whatsnew/v1.4.2", "whatsnew/v1.4.3", "whatsnew/v1.4.4", "whatsnew/v1.5.0", "whatsnew/v1.5.1", "whatsnew/v1.5.2", "whatsnew/v1.5.3", "whatsnew/v2.0.0", "whatsnew/v2.0.1", "whatsnew/v2.0.2", "whatsnew/v2.0.3", "whatsnew/v2.1.0", "whatsnew/v2.1.1", "whatsnew/v2.1.2", "whatsnew/v2.1.3", "whatsnew/v2.1.4", "whatsnew/v2.2.0", "whatsnew/v2.2.1", "whatsnew/v2.2.2", "whatsnew/v2.2.3"], "envversion": {"nbsphinx": 4, "sphinx": 64, "sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinx.ext.todo": 2}, "filenames": ["development/community.rst", "development/contributing.rst", "development/contributing_codebase.rst", "development/contributing_docstring.rst", "development/contributing_documentation.rst", "development/contributing_environment.rst", "development/contributing_gitpod.rst", "development/copy_on_write.rst", "development/debugging_extensions.rst", "development/developer.rst", "development/extending.rst", "development/index.rst", "development/internals.rst", "development/maintaining.rst", "development/policies.rst", "getting_started/comparison/comparison_with_r.rst", "getting_started/comparison/comparison_with_sas.rst", "getting_started/comparison/comparison_with_spreadsheets.rst", "getting_started/comparison/comparison_with_sql.rst", "getting_started/comparison/comparison_with_stata.rst", "getting_started/comparison/index.rst", "getting_started/index.rst", "getting_started/install.rst", "getting_started/intro_tutorials/01_table_oriented.rst", "getting_started/intro_tutorials/02_read_write.rst", "getting_started/intro_tutorials/03_subset_data.rst", "getting_started/intro_tutorials/04_plotting.rst", "getting_started/intro_tutorials/05_add_columns.rst", "getting_started/intro_tutorials/06_calculate_statistics.rst", "getting_started/intro_tutorials/07_reshape_table_layout.rst", "getting_started/intro_tutorials/08_combine_dataframes.rst", "getting_started/intro_tutorials/09_timeseries.rst", "getting_started/intro_tutorials/10_text_data.rst", "getting_started/intro_tutorials/index.rst", "getting_started/overview.rst", "getting_started/tutorials.rst", "index.rst", "reference/api/pandas.ArrowDtype.rst", "reference/api/pandas.BooleanDtype.rst", "reference/api/pandas.Categorical.rst", "reference/api/pandas.Categorical.__array__.rst", "reference/api/pandas.Categorical.categories.rst", "reference/api/pandas.Categorical.codes.rst", "reference/api/pandas.Categorical.dtype.rst", "reference/api/pandas.Categorical.from_codes.rst", "reference/api/pandas.Categorical.ordered.rst", "reference/api/pandas.CategoricalDtype.rst", "reference/api/pandas.CategoricalDtype.categories.rst", "reference/api/pandas.CategoricalDtype.ordered.rst", "reference/api/pandas.CategoricalIndex.rst", "reference/api/pandas.CategoricalIndex.add_categories.rst", "reference/api/pandas.CategoricalIndex.as_ordered.rst", "reference/api/pandas.CategoricalIndex.as_unordered.rst", "reference/api/pandas.CategoricalIndex.categories.rst", "reference/api/pandas.CategoricalIndex.codes.rst", "reference/api/pandas.CategoricalIndex.equals.rst", "reference/api/pandas.CategoricalIndex.map.rst", "reference/api/pandas.CategoricalIndex.ordered.rst", "reference/api/pandas.CategoricalIndex.remove_categories.rst", "reference/api/pandas.CategoricalIndex.remove_unused_categories.rst", "reference/api/pandas.CategoricalIndex.rename_categories.rst", "reference/api/pandas.CategoricalIndex.reorder_categories.rst", "reference/api/pandas.CategoricalIndex.set_categories.rst", "reference/api/pandas.DataFrame.rst", "reference/api/pandas.DataFrame.T.rst", "reference/api/pandas.DataFrame.__add__.rst", "reference/api/pandas.DataFrame.__dataframe__.rst", "reference/api/pandas.DataFrame.__iter__.rst", "reference/api/pandas.DataFrame.abs.rst", "reference/api/pandas.DataFrame.add.rst", "reference/api/pandas.DataFrame.add_prefix.rst", "reference/api/pandas.DataFrame.add_suffix.rst", "reference/api/pandas.DataFrame.agg.rst", "reference/api/pandas.DataFrame.aggregate.rst", "reference/api/pandas.DataFrame.align.rst", "reference/api/pandas.DataFrame.all.rst", "reference/api/pandas.DataFrame.any.rst", "reference/api/pandas.DataFrame.apply.rst", "reference/api/pandas.DataFrame.applymap.rst", "reference/api/pandas.DataFrame.asfreq.rst", "reference/api/pandas.DataFrame.asof.rst", "reference/api/pandas.DataFrame.assign.rst", "reference/api/pandas.DataFrame.astype.rst", "reference/api/pandas.DataFrame.at.rst", "reference/api/pandas.DataFrame.at_time.rst", "reference/api/pandas.DataFrame.attrs.rst", "reference/api/pandas.DataFrame.axes.rst", "reference/api/pandas.DataFrame.backfill.rst", "reference/api/pandas.DataFrame.between_time.rst", "reference/api/pandas.DataFrame.bfill.rst", "reference/api/pandas.DataFrame.bool.rst", "reference/api/pandas.DataFrame.boxplot.rst", "reference/api/pandas.DataFrame.clip.rst", "reference/api/pandas.DataFrame.columns.rst", "reference/api/pandas.DataFrame.combine.rst", "reference/api/pandas.DataFrame.combine_first.rst", "reference/api/pandas.DataFrame.compare.rst", "reference/api/pandas.DataFrame.convert_dtypes.rst", "reference/api/pandas.DataFrame.copy.rst", "reference/api/pandas.DataFrame.corr.rst", "reference/api/pandas.DataFrame.corrwith.rst", "reference/api/pandas.DataFrame.count.rst", "reference/api/pandas.DataFrame.cov.rst", "reference/api/pandas.DataFrame.cummax.rst", "reference/api/pandas.DataFrame.cummin.rst", "reference/api/pandas.DataFrame.cumprod.rst", "reference/api/pandas.DataFrame.cumsum.rst", "reference/api/pandas.DataFrame.describe.rst", "reference/api/pandas.DataFrame.diff.rst", "reference/api/pandas.DataFrame.div.rst", "reference/api/pandas.DataFrame.dot.rst", "reference/api/pandas.DataFrame.drop.rst", "reference/api/pandas.DataFrame.drop_duplicates.rst", "reference/api/pandas.DataFrame.droplevel.rst", "reference/api/pandas.DataFrame.dropna.rst", "reference/api/pandas.DataFrame.dtypes.rst", "reference/api/pandas.DataFrame.duplicated.rst", "reference/api/pandas.DataFrame.empty.rst", "reference/api/pandas.DataFrame.eq.rst", "reference/api/pandas.DataFrame.equals.rst", "reference/api/pandas.DataFrame.eval.rst", "reference/api/pandas.DataFrame.ewm.rst", "reference/api/pandas.DataFrame.expanding.rst", "reference/api/pandas.DataFrame.explode.rst", "reference/api/pandas.DataFrame.ffill.rst", "reference/api/pandas.DataFrame.fillna.rst", "reference/api/pandas.DataFrame.filter.rst", "reference/api/pandas.DataFrame.first.rst", "reference/api/pandas.DataFrame.first_valid_index.rst", "reference/api/pandas.DataFrame.floordiv.rst", "reference/api/pandas.DataFrame.from_dict.rst", "reference/api/pandas.DataFrame.from_records.rst", "reference/api/pandas.DataFrame.ge.rst", "reference/api/pandas.DataFrame.get.rst", "reference/api/pandas.DataFrame.groupby.rst", "reference/api/pandas.DataFrame.gt.rst", "reference/api/pandas.DataFrame.head.rst", "reference/api/pandas.DataFrame.hist.rst", "reference/api/pandas.DataFrame.iat.rst", "reference/api/pandas.DataFrame.idxmax.rst", "reference/api/pandas.DataFrame.idxmin.rst", "reference/api/pandas.DataFrame.iloc.rst", "reference/api/pandas.DataFrame.index.rst", "reference/api/pandas.DataFrame.infer_objects.rst", "reference/api/pandas.DataFrame.info.rst", "reference/api/pandas.DataFrame.insert.rst", "reference/api/pandas.DataFrame.interpolate.rst", "reference/api/pandas.DataFrame.isin.rst", "reference/api/pandas.DataFrame.isna.rst", "reference/api/pandas.DataFrame.isnull.rst", "reference/api/pandas.DataFrame.items.rst", "reference/api/pandas.DataFrame.iterrows.rst", "reference/api/pandas.DataFrame.itertuples.rst", "reference/api/pandas.DataFrame.join.rst", "reference/api/pandas.DataFrame.keys.rst", "reference/api/pandas.DataFrame.kurt.rst", "reference/api/pandas.DataFrame.kurtosis.rst", "reference/api/pandas.DataFrame.last.rst", "reference/api/pandas.DataFrame.last_valid_index.rst", "reference/api/pandas.DataFrame.le.rst", "reference/api/pandas.DataFrame.loc.rst", "reference/api/pandas.DataFrame.lt.rst", "reference/api/pandas.DataFrame.map.rst", "reference/api/pandas.DataFrame.mask.rst", "reference/api/pandas.DataFrame.max.rst", "reference/api/pandas.DataFrame.mean.rst", "reference/api/pandas.DataFrame.median.rst", "reference/api/pandas.DataFrame.melt.rst", "reference/api/pandas.DataFrame.memory_usage.rst", "reference/api/pandas.DataFrame.merge.rst", "reference/api/pandas.DataFrame.min.rst", "reference/api/pandas.DataFrame.mod.rst", "reference/api/pandas.DataFrame.mode.rst", "reference/api/pandas.DataFrame.mul.rst", "reference/api/pandas.DataFrame.ndim.rst", "reference/api/pandas.DataFrame.ne.rst", "reference/api/pandas.DataFrame.nlargest.rst", "reference/api/pandas.DataFrame.notna.rst", "reference/api/pandas.DataFrame.notnull.rst", "reference/api/pandas.DataFrame.nsmallest.rst", "reference/api/pandas.DataFrame.nunique.rst", "reference/api/pandas.DataFrame.pad.rst", "reference/api/pandas.DataFrame.pct_change.rst", "reference/api/pandas.DataFrame.pipe.rst", "reference/api/pandas.DataFrame.pivot.rst", "reference/api/pandas.DataFrame.pivot_table.rst", "reference/api/pandas.DataFrame.plot.rst", "reference/api/pandas.DataFrame.plot.area.rst", "reference/api/pandas.DataFrame.plot.bar.rst", "reference/api/pandas.DataFrame.plot.barh.rst", "reference/api/pandas.DataFrame.plot.box.rst", "reference/api/pandas.DataFrame.plot.density.rst", "reference/api/pandas.DataFrame.plot.hexbin.rst", "reference/api/pandas.DataFrame.plot.hist.rst", "reference/api/pandas.DataFrame.plot.kde.rst", "reference/api/pandas.DataFrame.plot.line.rst", "reference/api/pandas.DataFrame.plot.pie.rst", "reference/api/pandas.DataFrame.plot.scatter.rst", "reference/api/pandas.DataFrame.pop.rst", "reference/api/pandas.DataFrame.pow.rst", "reference/api/pandas.DataFrame.prod.rst", "reference/api/pandas.DataFrame.product.rst", "reference/api/pandas.DataFrame.quantile.rst", "reference/api/pandas.DataFrame.query.rst", "reference/api/pandas.DataFrame.radd.rst", "reference/api/pandas.DataFrame.rank.rst", "reference/api/pandas.DataFrame.rdiv.rst", "reference/api/pandas.DataFrame.reindex.rst", "reference/api/pandas.DataFrame.reindex_like.rst", "reference/api/pandas.DataFrame.rename.rst", "reference/api/pandas.DataFrame.rename_axis.rst", "reference/api/pandas.DataFrame.reorder_levels.rst", "reference/api/pandas.DataFrame.replace.rst", "reference/api/pandas.DataFrame.resample.rst", "reference/api/pandas.DataFrame.reset_index.rst", "reference/api/pandas.DataFrame.rfloordiv.rst", "reference/api/pandas.DataFrame.rmod.rst", "reference/api/pandas.DataFrame.rmul.rst", "reference/api/pandas.DataFrame.rolling.rst", "reference/api/pandas.DataFrame.round.rst", "reference/api/pandas.DataFrame.rpow.rst", "reference/api/pandas.DataFrame.rsub.rst", "reference/api/pandas.DataFrame.rtruediv.rst", "reference/api/pandas.DataFrame.sample.rst", "reference/api/pandas.DataFrame.select_dtypes.rst", "reference/api/pandas.DataFrame.sem.rst", "reference/api/pandas.DataFrame.set_axis.rst", "reference/api/pandas.DataFrame.set_flags.rst", "reference/api/pandas.DataFrame.set_index.rst", "reference/api/pandas.DataFrame.shape.rst", "reference/api/pandas.DataFrame.shift.rst", "reference/api/pandas.DataFrame.size.rst", "reference/api/pandas.DataFrame.skew.rst", "reference/api/pandas.DataFrame.sort_index.rst", "reference/api/pandas.DataFrame.sort_values.rst", "reference/api/pandas.DataFrame.sparse.rst", "reference/api/pandas.DataFrame.sparse.density.rst", "reference/api/pandas.DataFrame.sparse.from_spmatrix.rst", "reference/api/pandas.DataFrame.sparse.to_coo.rst", "reference/api/pandas.DataFrame.sparse.to_dense.rst", "reference/api/pandas.DataFrame.squeeze.rst", "reference/api/pandas.DataFrame.stack.rst", "reference/api/pandas.DataFrame.std.rst", "reference/api/pandas.DataFrame.style.rst", "reference/api/pandas.DataFrame.sub.rst", "reference/api/pandas.DataFrame.sum.rst", "reference/api/pandas.DataFrame.swapaxes.rst", "reference/api/pandas.DataFrame.swaplevel.rst", "reference/api/pandas.DataFrame.tail.rst", "reference/api/pandas.DataFrame.take.rst", "reference/api/pandas.DataFrame.to_clipboard.rst", "reference/api/pandas.DataFrame.to_csv.rst", "reference/api/pandas.DataFrame.to_dict.rst", "reference/api/pandas.DataFrame.to_excel.rst", "reference/api/pandas.DataFrame.to_feather.rst", "reference/api/pandas.DataFrame.to_gbq.rst", "reference/api/pandas.DataFrame.to_hdf.rst", "reference/api/pandas.DataFrame.to_html.rst", "reference/api/pandas.DataFrame.to_json.rst", "reference/api/pandas.DataFrame.to_latex.rst", "reference/api/pandas.DataFrame.to_markdown.rst", "reference/api/pandas.DataFrame.to_numpy.rst", "reference/api/pandas.DataFrame.to_orc.rst", "reference/api/pandas.DataFrame.to_parquet.rst", "reference/api/pandas.DataFrame.to_period.rst", "reference/api/pandas.DataFrame.to_pickle.rst", "reference/api/pandas.DataFrame.to_records.rst", "reference/api/pandas.DataFrame.to_sql.rst", "reference/api/pandas.DataFrame.to_stata.rst", "reference/api/pandas.DataFrame.to_string.rst", "reference/api/pandas.DataFrame.to_timestamp.rst", "reference/api/pandas.DataFrame.to_xarray.rst", "reference/api/pandas.DataFrame.to_xml.rst", "reference/api/pandas.DataFrame.transform.rst", "reference/api/pandas.DataFrame.transpose.rst", "reference/api/pandas.DataFrame.truediv.rst", "reference/api/pandas.DataFrame.truncate.rst", "reference/api/pandas.DataFrame.tz_convert.rst", "reference/api/pandas.DataFrame.tz_localize.rst", "reference/api/pandas.DataFrame.unstack.rst", "reference/api/pandas.DataFrame.update.rst", "reference/api/pandas.DataFrame.value_counts.rst", "reference/api/pandas.DataFrame.values.rst", "reference/api/pandas.DataFrame.var.rst", "reference/api/pandas.DataFrame.where.rst", "reference/api/pandas.DataFrame.xs.rst", "reference/api/pandas.DatetimeIndex.rst", "reference/api/pandas.DatetimeIndex.as_unit.rst", "reference/api/pandas.DatetimeIndex.ceil.rst", "reference/api/pandas.DatetimeIndex.date.rst", "reference/api/pandas.DatetimeIndex.day.rst", "reference/api/pandas.DatetimeIndex.day_name.rst", "reference/api/pandas.DatetimeIndex.day_of_week.rst", "reference/api/pandas.DatetimeIndex.day_of_year.rst", "reference/api/pandas.DatetimeIndex.dayofweek.rst", "reference/api/pandas.DatetimeIndex.dayofyear.rst", "reference/api/pandas.DatetimeIndex.floor.rst", "reference/api/pandas.DatetimeIndex.freq.rst", "reference/api/pandas.DatetimeIndex.freqstr.rst", "reference/api/pandas.DatetimeIndex.hour.rst", "reference/api/pandas.DatetimeIndex.indexer_at_time.rst", "reference/api/pandas.DatetimeIndex.indexer_between_time.rst", "reference/api/pandas.DatetimeIndex.inferred_freq.rst", "reference/api/pandas.DatetimeIndex.is_leap_year.rst", "reference/api/pandas.DatetimeIndex.is_month_end.rst", "reference/api/pandas.DatetimeIndex.is_month_start.rst", "reference/api/pandas.DatetimeIndex.is_quarter_end.rst", "reference/api/pandas.DatetimeIndex.is_quarter_start.rst", "reference/api/pandas.DatetimeIndex.is_year_end.rst", "reference/api/pandas.DatetimeIndex.is_year_start.rst", "reference/api/pandas.DatetimeIndex.mean.rst", "reference/api/pandas.DatetimeIndex.microsecond.rst", "reference/api/pandas.DatetimeIndex.minute.rst", "reference/api/pandas.DatetimeIndex.month.rst", "reference/api/pandas.DatetimeIndex.month_name.rst", "reference/api/pandas.DatetimeIndex.nanosecond.rst", "reference/api/pandas.DatetimeIndex.normalize.rst", "reference/api/pandas.DatetimeIndex.quarter.rst", "reference/api/pandas.DatetimeIndex.round.rst", "reference/api/pandas.DatetimeIndex.second.rst", "reference/api/pandas.DatetimeIndex.snap.rst", "reference/api/pandas.DatetimeIndex.std.rst", "reference/api/pandas.DatetimeIndex.strftime.rst", "reference/api/pandas.DatetimeIndex.time.rst", "reference/api/pandas.DatetimeIndex.timetz.rst", "reference/api/pandas.DatetimeIndex.to_frame.rst", "reference/api/pandas.DatetimeIndex.to_period.rst", "reference/api/pandas.DatetimeIndex.to_pydatetime.rst", "reference/api/pandas.DatetimeIndex.to_series.rst", "reference/api/pandas.DatetimeIndex.tz.rst", "reference/api/pandas.DatetimeIndex.tz_convert.rst", "reference/api/pandas.DatetimeIndex.tz_localize.rst", "reference/api/pandas.DatetimeIndex.weekday.rst", "reference/api/pandas.DatetimeIndex.year.rst", "reference/api/pandas.DatetimeTZDtype.rst", "reference/api/pandas.DatetimeTZDtype.tz.rst", "reference/api/pandas.DatetimeTZDtype.unit.rst", "reference/api/pandas.ExcelFile.rst", "reference/api/pandas.ExcelFile.book.rst", "reference/api/pandas.ExcelFile.parse.rst", "reference/api/pandas.ExcelFile.sheet_names.rst", "reference/api/pandas.ExcelWriter.rst", "reference/api/pandas.Flags.rst", "reference/api/pandas.Float32Dtype.rst", "reference/api/pandas.Float64Dtype.rst", "reference/api/pandas.Grouper.rst", "reference/api/pandas.HDFStore.append.rst", "reference/api/pandas.HDFStore.get.rst", "reference/api/pandas.HDFStore.groups.rst", "reference/api/pandas.HDFStore.info.rst", "reference/api/pandas.HDFStore.keys.rst", "reference/api/pandas.HDFStore.put.rst", "reference/api/pandas.HDFStore.select.rst", "reference/api/pandas.HDFStore.walk.rst", "reference/api/pandas.Index.rst", "reference/api/pandas.Index.T.rst", "reference/api/pandas.Index.all.rst", "reference/api/pandas.Index.any.rst", "reference/api/pandas.Index.append.rst", "reference/api/pandas.Index.argmax.rst", "reference/api/pandas.Index.argmin.rst", "reference/api/pandas.Index.argsort.rst", "reference/api/pandas.Index.asof.rst", "reference/api/pandas.Index.asof_locs.rst", "reference/api/pandas.Index.astype.rst", "reference/api/pandas.Index.copy.rst", "reference/api/pandas.Index.delete.rst", "reference/api/pandas.Index.difference.rst", "reference/api/pandas.Index.drop.rst", "reference/api/pandas.Index.drop_duplicates.rst", "reference/api/pandas.Index.droplevel.rst", "reference/api/pandas.Index.dropna.rst", "reference/api/pandas.Index.dtype.rst", "reference/api/pandas.Index.duplicated.rst", "reference/api/pandas.Index.empty.rst", "reference/api/pandas.Index.equals.rst", "reference/api/pandas.Index.factorize.rst", "reference/api/pandas.Index.fillna.rst", "reference/api/pandas.Index.get_indexer.rst", "reference/api/pandas.Index.get_indexer_for.rst", "reference/api/pandas.Index.get_indexer_non_unique.rst", "reference/api/pandas.Index.get_level_values.rst", "reference/api/pandas.Index.get_loc.rst", "reference/api/pandas.Index.get_slice_bound.rst", "reference/api/pandas.Index.has_duplicates.rst", "reference/api/pandas.Index.hasnans.rst", "reference/api/pandas.Index.identical.rst", "reference/api/pandas.Index.inferred_type.rst", "reference/api/pandas.Index.insert.rst", "reference/api/pandas.Index.intersection.rst", "reference/api/pandas.Index.is_.rst", "reference/api/pandas.Index.is_boolean.rst", "reference/api/pandas.Index.is_categorical.rst", "reference/api/pandas.Index.is_floating.rst", "reference/api/pandas.Index.is_integer.rst", "reference/api/pandas.Index.is_interval.rst", "reference/api/pandas.Index.is_monotonic_decreasing.rst", "reference/api/pandas.Index.is_monotonic_increasing.rst", "reference/api/pandas.Index.is_numeric.rst", "reference/api/pandas.Index.is_object.rst", "reference/api/pandas.Index.is_unique.rst", "reference/api/pandas.Index.isin.rst", "reference/api/pandas.Index.isna.rst", "reference/api/pandas.Index.item.rst", "reference/api/pandas.Index.join.rst", "reference/api/pandas.Index.map.rst", "reference/api/pandas.Index.max.rst", "reference/api/pandas.Index.memory_usage.rst", "reference/api/pandas.Index.min.rst", "reference/api/pandas.Index.name.rst", "reference/api/pandas.Index.names.rst", "reference/api/pandas.Index.nbytes.rst", "reference/api/pandas.Index.ndim.rst", "reference/api/pandas.Index.notna.rst", "reference/api/pandas.Index.nunique.rst", "reference/api/pandas.Index.putmask.rst", "reference/api/pandas.Index.ravel.rst", "reference/api/pandas.Index.reindex.rst", "reference/api/pandas.Index.rename.rst", "reference/api/pandas.Index.repeat.rst", "reference/api/pandas.Index.searchsorted.rst", "reference/api/pandas.Index.set_names.rst", "reference/api/pandas.Index.shape.rst", "reference/api/pandas.Index.shift.rst", "reference/api/pandas.Index.size.rst", "reference/api/pandas.Index.slice_indexer.rst", "reference/api/pandas.Index.slice_locs.rst", "reference/api/pandas.Index.sort_values.rst", "reference/api/pandas.Index.str.rst", "reference/api/pandas.Index.symmetric_difference.rst", "reference/api/pandas.Index.take.rst", "reference/api/pandas.Index.to_frame.rst", "reference/api/pandas.Index.to_list.rst", "reference/api/pandas.Index.to_series.rst", "reference/api/pandas.Index.union.rst", "reference/api/pandas.Index.unique.rst", "reference/api/pandas.Index.value_counts.rst", "reference/api/pandas.Index.values.rst", "reference/api/pandas.Index.view.rst", "reference/api/pandas.Index.where.rst", "reference/api/pandas.IndexSlice.rst", "reference/api/pandas.Int16Dtype.rst", "reference/api/pandas.Int32Dtype.rst", "reference/api/pandas.Int64Dtype.rst", "reference/api/pandas.Int8Dtype.rst", "reference/api/pandas.Interval.rst", "reference/api/pandas.Interval.closed.rst", "reference/api/pandas.Interval.closed_left.rst", "reference/api/pandas.Interval.closed_right.rst", "reference/api/pandas.Interval.is_empty.rst", "reference/api/pandas.Interval.left.rst", "reference/api/pandas.Interval.length.rst", "reference/api/pandas.Interval.mid.rst", "reference/api/pandas.Interval.open_left.rst", "reference/api/pandas.Interval.open_right.rst", "reference/api/pandas.Interval.overlaps.rst", "reference/api/pandas.Interval.right.rst", "reference/api/pandas.IntervalDtype.rst", "reference/api/pandas.IntervalDtype.subtype.rst", "reference/api/pandas.IntervalIndex.rst", "reference/api/pandas.IntervalIndex.closed.rst", "reference/api/pandas.IntervalIndex.contains.rst", "reference/api/pandas.IntervalIndex.from_arrays.rst", "reference/api/pandas.IntervalIndex.from_breaks.rst", "reference/api/pandas.IntervalIndex.from_tuples.rst", "reference/api/pandas.IntervalIndex.get_indexer.rst", "reference/api/pandas.IntervalIndex.get_loc.rst", "reference/api/pandas.IntervalIndex.is_empty.rst", "reference/api/pandas.IntervalIndex.is_non_overlapping_monotonic.rst", "reference/api/pandas.IntervalIndex.is_overlapping.rst", "reference/api/pandas.IntervalIndex.left.rst", "reference/api/pandas.IntervalIndex.length.rst", "reference/api/pandas.IntervalIndex.mid.rst", "reference/api/pandas.IntervalIndex.overlaps.rst", "reference/api/pandas.IntervalIndex.right.rst", "reference/api/pandas.IntervalIndex.set_closed.rst", "reference/api/pandas.IntervalIndex.to_tuples.rst", "reference/api/pandas.IntervalIndex.values.rst", "reference/api/pandas.MultiIndex.rst", "reference/api/pandas.MultiIndex.append.rst", "reference/api/pandas.MultiIndex.codes.rst", "reference/api/pandas.MultiIndex.copy.rst", "reference/api/pandas.MultiIndex.drop.rst", "reference/api/pandas.MultiIndex.droplevel.rst", "reference/api/pandas.MultiIndex.dtypes.rst", "reference/api/pandas.MultiIndex.from_arrays.rst", "reference/api/pandas.MultiIndex.from_frame.rst", "reference/api/pandas.MultiIndex.from_product.rst", "reference/api/pandas.MultiIndex.from_tuples.rst", "reference/api/pandas.MultiIndex.get_indexer.rst", "reference/api/pandas.MultiIndex.get_level_values.rst", "reference/api/pandas.MultiIndex.get_loc.rst", "reference/api/pandas.MultiIndex.get_loc_level.rst", "reference/api/pandas.MultiIndex.get_locs.rst", "reference/api/pandas.MultiIndex.levels.rst", "reference/api/pandas.MultiIndex.levshape.rst", "reference/api/pandas.MultiIndex.names.rst", "reference/api/pandas.MultiIndex.nlevels.rst", "reference/api/pandas.MultiIndex.remove_unused_levels.rst", "reference/api/pandas.MultiIndex.reorder_levels.rst", "reference/api/pandas.MultiIndex.set_codes.rst", "reference/api/pandas.MultiIndex.set_levels.rst", "reference/api/pandas.MultiIndex.sortlevel.rst", "reference/api/pandas.MultiIndex.swaplevel.rst", "reference/api/pandas.MultiIndex.to_flat_index.rst", "reference/api/pandas.MultiIndex.to_frame.rst", "reference/api/pandas.MultiIndex.truncate.rst", "reference/api/pandas.NA.rst", "reference/api/pandas.NaT.rst", "reference/api/pandas.NamedAgg.rst", "reference/api/pandas.Period.rst", "reference/api/pandas.Period.asfreq.rst", "reference/api/pandas.Period.day.rst", "reference/api/pandas.Period.day_of_week.rst", "reference/api/pandas.Period.day_of_year.rst", "reference/api/pandas.Period.dayofweek.rst", "reference/api/pandas.Period.dayofyear.rst", "reference/api/pandas.Period.days_in_month.rst", "reference/api/pandas.Period.daysinmonth.rst", "reference/api/pandas.Period.end_time.rst", "reference/api/pandas.Period.freq.rst", "reference/api/pandas.Period.freqstr.rst", "reference/api/pandas.Period.hour.rst", "reference/api/pandas.Period.is_leap_year.rst", "reference/api/pandas.Period.minute.rst", "reference/api/pandas.Period.month.rst", "reference/api/pandas.Period.now.rst", "reference/api/pandas.Period.ordinal.rst", "reference/api/pandas.Period.quarter.rst", "reference/api/pandas.Period.qyear.rst", "reference/api/pandas.Period.second.rst", "reference/api/pandas.Period.start_time.rst", "reference/api/pandas.Period.strftime.rst", "reference/api/pandas.Period.to_timestamp.rst", "reference/api/pandas.Period.week.rst", "reference/api/pandas.Period.weekday.rst", "reference/api/pandas.Period.weekofyear.rst", "reference/api/pandas.Period.year.rst", "reference/api/pandas.PeriodDtype.rst", "reference/api/pandas.PeriodDtype.freq.rst", "reference/api/pandas.PeriodIndex.rst", "reference/api/pandas.PeriodIndex.asfreq.rst", "reference/api/pandas.PeriodIndex.day.rst", "reference/api/pandas.PeriodIndex.day_of_week.rst", "reference/api/pandas.PeriodIndex.day_of_year.rst", "reference/api/pandas.PeriodIndex.dayofweek.rst", "reference/api/pandas.PeriodIndex.dayofyear.rst", "reference/api/pandas.PeriodIndex.days_in_month.rst", "reference/api/pandas.PeriodIndex.daysinmonth.rst", "reference/api/pandas.PeriodIndex.end_time.rst", "reference/api/pandas.PeriodIndex.freq.rst", "reference/api/pandas.PeriodIndex.freqstr.rst", "reference/api/pandas.PeriodIndex.from_fields.rst", "reference/api/pandas.PeriodIndex.from_ordinals.rst", "reference/api/pandas.PeriodIndex.hour.rst", "reference/api/pandas.PeriodIndex.is_leap_year.rst", "reference/api/pandas.PeriodIndex.minute.rst", "reference/api/pandas.PeriodIndex.month.rst", "reference/api/pandas.PeriodIndex.quarter.rst", "reference/api/pandas.PeriodIndex.qyear.rst", "reference/api/pandas.PeriodIndex.second.rst", "reference/api/pandas.PeriodIndex.start_time.rst", "reference/api/pandas.PeriodIndex.strftime.rst", "reference/api/pandas.PeriodIndex.to_timestamp.rst", "reference/api/pandas.PeriodIndex.week.rst", "reference/api/pandas.PeriodIndex.weekday.rst", "reference/api/pandas.PeriodIndex.weekofyear.rst", "reference/api/pandas.PeriodIndex.year.rst", "reference/api/pandas.RangeIndex.rst", "reference/api/pandas.RangeIndex.from_range.rst", "reference/api/pandas.RangeIndex.start.rst", "reference/api/pandas.RangeIndex.step.rst", "reference/api/pandas.RangeIndex.stop.rst", "reference/api/pandas.Series.rst", "reference/api/pandas.Series.T.rst", "reference/api/pandas.Series.__array__.rst", "reference/api/pandas.Series.__iter__.rst", "reference/api/pandas.Series.abs.rst", "reference/api/pandas.Series.add.rst", "reference/api/pandas.Series.add_prefix.rst", "reference/api/pandas.Series.add_suffix.rst", "reference/api/pandas.Series.agg.rst", "reference/api/pandas.Series.aggregate.rst", "reference/api/pandas.Series.align.rst", "reference/api/pandas.Series.all.rst", "reference/api/pandas.Series.any.rst", "reference/api/pandas.Series.apply.rst", "reference/api/pandas.Series.argmax.rst", "reference/api/pandas.Series.argmin.rst", "reference/api/pandas.Series.argsort.rst", "reference/api/pandas.Series.array.rst", "reference/api/pandas.Series.asfreq.rst", "reference/api/pandas.Series.asof.rst", "reference/api/pandas.Series.astype.rst", "reference/api/pandas.Series.at.rst", "reference/api/pandas.Series.at_time.rst", "reference/api/pandas.Series.attrs.rst", "reference/api/pandas.Series.autocorr.rst", "reference/api/pandas.Series.backfill.rst", "reference/api/pandas.Series.between.rst", "reference/api/pandas.Series.between_time.rst", "reference/api/pandas.Series.bfill.rst", "reference/api/pandas.Series.bool.rst", "reference/api/pandas.Series.case_when.rst", "reference/api/pandas.Series.cat.rst", "reference/api/pandas.Series.cat.add_categories.rst", "reference/api/pandas.Series.cat.as_ordered.rst", "reference/api/pandas.Series.cat.as_unordered.rst", "reference/api/pandas.Series.cat.categories.rst", "reference/api/pandas.Series.cat.codes.rst", "reference/api/pandas.Series.cat.ordered.rst", "reference/api/pandas.Series.cat.remove_categories.rst", "reference/api/pandas.Series.cat.remove_unused_categories.rst", "reference/api/pandas.Series.cat.rename_categories.rst", "reference/api/pandas.Series.cat.reorder_categories.rst", "reference/api/pandas.Series.cat.set_categories.rst", "reference/api/pandas.Series.clip.rst", "reference/api/pandas.Series.combine.rst", "reference/api/pandas.Series.combine_first.rst", "reference/api/pandas.Series.compare.rst", "reference/api/pandas.Series.convert_dtypes.rst", "reference/api/pandas.Series.copy.rst", "reference/api/pandas.Series.corr.rst", "reference/api/pandas.Series.count.rst", "reference/api/pandas.Series.cov.rst", "reference/api/pandas.Series.cummax.rst", "reference/api/pandas.Series.cummin.rst", "reference/api/pandas.Series.cumprod.rst", "reference/api/pandas.Series.cumsum.rst", "reference/api/pandas.Series.describe.rst", "reference/api/pandas.Series.diff.rst", "reference/api/pandas.Series.div.rst", "reference/api/pandas.Series.dot.rst", "reference/api/pandas.Series.drop.rst", "reference/api/pandas.Series.drop_duplicates.rst", "reference/api/pandas.Series.droplevel.rst", "reference/api/pandas.Series.dropna.rst", "reference/api/pandas.Series.dt.rst", "reference/api/pandas.Series.dt.as_unit.rst", "reference/api/pandas.Series.dt.ceil.rst", "reference/api/pandas.Series.dt.components.rst", "reference/api/pandas.Series.dt.date.rst", "reference/api/pandas.Series.dt.day.rst", "reference/api/pandas.Series.dt.day_name.rst", "reference/api/pandas.Series.dt.day_of_week.rst", "reference/api/pandas.Series.dt.day_of_year.rst", "reference/api/pandas.Series.dt.dayofweek.rst", "reference/api/pandas.Series.dt.dayofyear.rst", "reference/api/pandas.Series.dt.days.rst", "reference/api/pandas.Series.dt.days_in_month.rst", "reference/api/pandas.Series.dt.daysinmonth.rst", "reference/api/pandas.Series.dt.end_time.rst", "reference/api/pandas.Series.dt.floor.rst", "reference/api/pandas.Series.dt.freq.rst", "reference/api/pandas.Series.dt.hour.rst", "reference/api/pandas.Series.dt.is_leap_year.rst", "reference/api/pandas.Series.dt.is_month_end.rst", "reference/api/pandas.Series.dt.is_month_start.rst", "reference/api/pandas.Series.dt.is_quarter_end.rst", "reference/api/pandas.Series.dt.is_quarter_start.rst", "reference/api/pandas.Series.dt.is_year_end.rst", "reference/api/pandas.Series.dt.is_year_start.rst", "reference/api/pandas.Series.dt.isocalendar.rst", "reference/api/pandas.Series.dt.microsecond.rst", "reference/api/pandas.Series.dt.microseconds.rst", "reference/api/pandas.Series.dt.minute.rst", "reference/api/pandas.Series.dt.month.rst", "reference/api/pandas.Series.dt.month_name.rst", "reference/api/pandas.Series.dt.nanosecond.rst", "reference/api/pandas.Series.dt.nanoseconds.rst", "reference/api/pandas.Series.dt.normalize.rst", "reference/api/pandas.Series.dt.quarter.rst", "reference/api/pandas.Series.dt.qyear.rst", "reference/api/pandas.Series.dt.round.rst", "reference/api/pandas.Series.dt.second.rst", "reference/api/pandas.Series.dt.seconds.rst", "reference/api/pandas.Series.dt.start_time.rst", "reference/api/pandas.Series.dt.strftime.rst", "reference/api/pandas.Series.dt.time.rst", "reference/api/pandas.Series.dt.timetz.rst", "reference/api/pandas.Series.dt.to_period.rst", "reference/api/pandas.Series.dt.to_pydatetime.rst", "reference/api/pandas.Series.dt.to_pytimedelta.rst", "reference/api/pandas.Series.dt.total_seconds.rst", "reference/api/pandas.Series.dt.tz.rst", "reference/api/pandas.Series.dt.tz_convert.rst", "reference/api/pandas.Series.dt.tz_localize.rst", "reference/api/pandas.Series.dt.unit.rst", "reference/api/pandas.Series.dt.weekday.rst", "reference/api/pandas.Series.dt.year.rst", "reference/api/pandas.Series.dtype.rst", "reference/api/pandas.Series.dtypes.rst", "reference/api/pandas.Series.duplicated.rst", "reference/api/pandas.Series.empty.rst", "reference/api/pandas.Series.eq.rst", "reference/api/pandas.Series.equals.rst", "reference/api/pandas.Series.ewm.rst", "reference/api/pandas.Series.expanding.rst", "reference/api/pandas.Series.explode.rst", "reference/api/pandas.Series.factorize.rst", "reference/api/pandas.Series.ffill.rst", "reference/api/pandas.Series.fillna.rst", "reference/api/pandas.Series.filter.rst", "reference/api/pandas.Series.first.rst", "reference/api/pandas.Series.first_valid_index.rst", "reference/api/pandas.Series.flags.rst", "reference/api/pandas.Series.floordiv.rst", "reference/api/pandas.Series.ge.rst", "reference/api/pandas.Series.get.rst", "reference/api/pandas.Series.groupby.rst", "reference/api/pandas.Series.gt.rst", "reference/api/pandas.Series.hasnans.rst", "reference/api/pandas.Series.head.rst", "reference/api/pandas.Series.hist.rst", "reference/api/pandas.Series.iat.rst", "reference/api/pandas.Series.idxmax.rst", "reference/api/pandas.Series.idxmin.rst", "reference/api/pandas.Series.iloc.rst", "reference/api/pandas.Series.index.rst", "reference/api/pandas.Series.infer_objects.rst", "reference/api/pandas.Series.interpolate.rst", "reference/api/pandas.Series.is_monotonic_decreasing.rst", "reference/api/pandas.Series.is_monotonic_increasing.rst", "reference/api/pandas.Series.is_unique.rst", "reference/api/pandas.Series.isin.rst", "reference/api/pandas.Series.isna.rst", "reference/api/pandas.Series.isnull.rst", "reference/api/pandas.Series.item.rst", "reference/api/pandas.Series.items.rst", "reference/api/pandas.Series.keys.rst", "reference/api/pandas.Series.kurt.rst", "reference/api/pandas.Series.kurtosis.rst", "reference/api/pandas.Series.last.rst", "reference/api/pandas.Series.last_valid_index.rst", "reference/api/pandas.Series.le.rst", "reference/api/pandas.Series.list.__getitem__.rst", "reference/api/pandas.Series.list.flatten.rst", "reference/api/pandas.Series.list.len.rst", "reference/api/pandas.Series.loc.rst", "reference/api/pandas.Series.lt.rst", "reference/api/pandas.Series.map.rst", "reference/api/pandas.Series.mask.rst", "reference/api/pandas.Series.max.rst", "reference/api/pandas.Series.mean.rst", "reference/api/pandas.Series.median.rst", "reference/api/pandas.Series.memory_usage.rst", "reference/api/pandas.Series.min.rst", "reference/api/pandas.Series.mod.rst", "reference/api/pandas.Series.mode.rst", "reference/api/pandas.Series.mul.rst", "reference/api/pandas.Series.name.rst", "reference/api/pandas.Series.nbytes.rst", "reference/api/pandas.Series.ndim.rst", "reference/api/pandas.Series.ne.rst", "reference/api/pandas.Series.nlargest.rst", "reference/api/pandas.Series.notna.rst", "reference/api/pandas.Series.notnull.rst", "reference/api/pandas.Series.nsmallest.rst", "reference/api/pandas.Series.nunique.rst", "reference/api/pandas.Series.pad.rst", "reference/api/pandas.Series.pct_change.rst", "reference/api/pandas.Series.pipe.rst", "reference/api/pandas.Series.plot.rst", "reference/api/pandas.Series.plot.area.rst", "reference/api/pandas.Series.plot.bar.rst", "reference/api/pandas.Series.plot.barh.rst", "reference/api/pandas.Series.plot.box.rst", "reference/api/pandas.Series.plot.density.rst", "reference/api/pandas.Series.plot.hist.rst", "reference/api/pandas.Series.plot.kde.rst", "reference/api/pandas.Series.plot.line.rst", "reference/api/pandas.Series.plot.pie.rst", "reference/api/pandas.Series.pop.rst", "reference/api/pandas.Series.pow.rst", "reference/api/pandas.Series.prod.rst", "reference/api/pandas.Series.product.rst", "reference/api/pandas.Series.quantile.rst", "reference/api/pandas.Series.radd.rst", "reference/api/pandas.Series.rank.rst", "reference/api/pandas.Series.ravel.rst", "reference/api/pandas.Series.rdiv.rst", "reference/api/pandas.Series.reindex.rst", "reference/api/pandas.Series.reindex_like.rst", "reference/api/pandas.Series.rename.rst", "reference/api/pandas.Series.rename_axis.rst", "reference/api/pandas.Series.reorder_levels.rst", "reference/api/pandas.Series.repeat.rst", "reference/api/pandas.Series.replace.rst", "reference/api/pandas.Series.resample.rst", "reference/api/pandas.Series.reset_index.rst", "reference/api/pandas.Series.rfloordiv.rst", "reference/api/pandas.Series.rmod.rst", "reference/api/pandas.Series.rmul.rst", "reference/api/pandas.Series.rolling.rst", "reference/api/pandas.Series.round.rst", "reference/api/pandas.Series.rpow.rst", "reference/api/pandas.Series.rsub.rst", "reference/api/pandas.Series.rtruediv.rst", "reference/api/pandas.Series.sample.rst", "reference/api/pandas.Series.searchsorted.rst", "reference/api/pandas.Series.sem.rst", "reference/api/pandas.Series.set_axis.rst", "reference/api/pandas.Series.set_flags.rst", "reference/api/pandas.Series.shape.rst", "reference/api/pandas.Series.shift.rst", "reference/api/pandas.Series.size.rst", "reference/api/pandas.Series.skew.rst", "reference/api/pandas.Series.sort_index.rst", "reference/api/pandas.Series.sort_values.rst", "reference/api/pandas.Series.sparse.rst", "reference/api/pandas.Series.sparse.density.rst", "reference/api/pandas.Series.sparse.fill_value.rst", "reference/api/pandas.Series.sparse.from_coo.rst", "reference/api/pandas.Series.sparse.npoints.rst", "reference/api/pandas.Series.sparse.sp_values.rst", "reference/api/pandas.Series.sparse.to_coo.rst", "reference/api/pandas.Series.squeeze.rst", "reference/api/pandas.Series.std.rst", "reference/api/pandas.Series.str.rst", "reference/api/pandas.Series.str.capitalize.rst", "reference/api/pandas.Series.str.casefold.rst", "reference/api/pandas.Series.str.cat.rst", "reference/api/pandas.Series.str.center.rst", "reference/api/pandas.Series.str.contains.rst", "reference/api/pandas.Series.str.count.rst", "reference/api/pandas.Series.str.decode.rst", "reference/api/pandas.Series.str.encode.rst", "reference/api/pandas.Series.str.endswith.rst", "reference/api/pandas.Series.str.extract.rst", "reference/api/pandas.Series.str.extractall.rst", "reference/api/pandas.Series.str.find.rst", "reference/api/pandas.Series.str.findall.rst", "reference/api/pandas.Series.str.fullmatch.rst", "reference/api/pandas.Series.str.get.rst", "reference/api/pandas.Series.str.get_dummies.rst", "reference/api/pandas.Series.str.index.rst", "reference/api/pandas.Series.str.isalnum.rst", "reference/api/pandas.Series.str.isalpha.rst", "reference/api/pandas.Series.str.isdecimal.rst", "reference/api/pandas.Series.str.isdigit.rst", "reference/api/pandas.Series.str.islower.rst", "reference/api/pandas.Series.str.isnumeric.rst", "reference/api/pandas.Series.str.isspace.rst", "reference/api/pandas.Series.str.istitle.rst", "reference/api/pandas.Series.str.isupper.rst", "reference/api/pandas.Series.str.join.rst", "reference/api/pandas.Series.str.len.rst", "reference/api/pandas.Series.str.ljust.rst", "reference/api/pandas.Series.str.lower.rst", "reference/api/pandas.Series.str.lstrip.rst", "reference/api/pandas.Series.str.match.rst", "reference/api/pandas.Series.str.normalize.rst", "reference/api/pandas.Series.str.pad.rst", "reference/api/pandas.Series.str.partition.rst", "reference/api/pandas.Series.str.removeprefix.rst", "reference/api/pandas.Series.str.removesuffix.rst", "reference/api/pandas.Series.str.repeat.rst", "reference/api/pandas.Series.str.replace.rst", "reference/api/pandas.Series.str.rfind.rst", "reference/api/pandas.Series.str.rindex.rst", "reference/api/pandas.Series.str.rjust.rst", "reference/api/pandas.Series.str.rpartition.rst", "reference/api/pandas.Series.str.rsplit.rst", "reference/api/pandas.Series.str.rstrip.rst", "reference/api/pandas.Series.str.slice.rst", "reference/api/pandas.Series.str.slice_replace.rst", "reference/api/pandas.Series.str.split.rst", "reference/api/pandas.Series.str.startswith.rst", "reference/api/pandas.Series.str.strip.rst", "reference/api/pandas.Series.str.swapcase.rst", "reference/api/pandas.Series.str.title.rst", "reference/api/pandas.Series.str.translate.rst", "reference/api/pandas.Series.str.upper.rst", "reference/api/pandas.Series.str.wrap.rst", "reference/api/pandas.Series.str.zfill.rst", "reference/api/pandas.Series.struct.dtypes.rst", "reference/api/pandas.Series.struct.explode.rst", "reference/api/pandas.Series.struct.field.rst", "reference/api/pandas.Series.sub.rst", "reference/api/pandas.Series.sum.rst", "reference/api/pandas.Series.swaplevel.rst", "reference/api/pandas.Series.tail.rst", "reference/api/pandas.Series.take.rst", "reference/api/pandas.Series.to_clipboard.rst", "reference/api/pandas.Series.to_csv.rst", "reference/api/pandas.Series.to_dict.rst", "reference/api/pandas.Series.to_excel.rst", "reference/api/pandas.Series.to_frame.rst", "reference/api/pandas.Series.to_hdf.rst", "reference/api/pandas.Series.to_json.rst", "reference/api/pandas.Series.to_latex.rst", "reference/api/pandas.Series.to_list.rst", "reference/api/pandas.Series.to_markdown.rst", "reference/api/pandas.Series.to_numpy.rst", "reference/api/pandas.Series.to_period.rst", "reference/api/pandas.Series.to_pickle.rst", "reference/api/pandas.Series.to_sql.rst", "reference/api/pandas.Series.to_string.rst", "reference/api/pandas.Series.to_timestamp.rst", "reference/api/pandas.Series.to_xarray.rst", "reference/api/pandas.Series.transform.rst", "reference/api/pandas.Series.truediv.rst", "reference/api/pandas.Series.truncate.rst", "reference/api/pandas.Series.tz_convert.rst", "reference/api/pandas.Series.tz_localize.rst", "reference/api/pandas.Series.unique.rst", "reference/api/pandas.Series.unstack.rst", "reference/api/pandas.Series.update.rst", "reference/api/pandas.Series.value_counts.rst", "reference/api/pandas.Series.values.rst", "reference/api/pandas.Series.var.rst", "reference/api/pandas.Series.view.rst", "reference/api/pandas.Series.where.rst", "reference/api/pandas.Series.xs.rst", "reference/api/pandas.SparseDtype.rst", "reference/api/pandas.StringDtype.rst", "reference/api/pandas.Timedelta.rst", "reference/api/pandas.Timedelta.as_unit.rst", "reference/api/pandas.Timedelta.asm8.rst", "reference/api/pandas.Timedelta.ceil.rst", "reference/api/pandas.Timedelta.components.rst", "reference/api/pandas.Timedelta.days.rst", "reference/api/pandas.Timedelta.floor.rst", "reference/api/pandas.Timedelta.isoformat.rst", "reference/api/pandas.Timedelta.max.rst", "reference/api/pandas.Timedelta.microseconds.rst", "reference/api/pandas.Timedelta.min.rst", "reference/api/pandas.Timedelta.nanoseconds.rst", "reference/api/pandas.Timedelta.resolution.rst", "reference/api/pandas.Timedelta.round.rst", "reference/api/pandas.Timedelta.seconds.rst", "reference/api/pandas.Timedelta.to_numpy.rst", "reference/api/pandas.Timedelta.to_pytimedelta.rst", "reference/api/pandas.Timedelta.to_timedelta64.rst", "reference/api/pandas.Timedelta.total_seconds.rst", "reference/api/pandas.Timedelta.unit.rst", "reference/api/pandas.Timedelta.value.rst", "reference/api/pandas.Timedelta.view.rst", "reference/api/pandas.TimedeltaIndex.rst", "reference/api/pandas.TimedeltaIndex.as_unit.rst", "reference/api/pandas.TimedeltaIndex.ceil.rst", "reference/api/pandas.TimedeltaIndex.components.rst", "reference/api/pandas.TimedeltaIndex.days.rst", "reference/api/pandas.TimedeltaIndex.floor.rst", "reference/api/pandas.TimedeltaIndex.inferred_freq.rst", "reference/api/pandas.TimedeltaIndex.mean.rst", "reference/api/pandas.TimedeltaIndex.microseconds.rst", "reference/api/pandas.TimedeltaIndex.nanoseconds.rst", "reference/api/pandas.TimedeltaIndex.round.rst", "reference/api/pandas.TimedeltaIndex.seconds.rst", "reference/api/pandas.TimedeltaIndex.to_frame.rst", "reference/api/pandas.TimedeltaIndex.to_pytimedelta.rst", "reference/api/pandas.TimedeltaIndex.to_series.rst", "reference/api/pandas.Timestamp.rst", "reference/api/pandas.Timestamp.as_unit.rst", "reference/api/pandas.Timestamp.asm8.rst", "reference/api/pandas.Timestamp.astimezone.rst", "reference/api/pandas.Timestamp.ceil.rst", "reference/api/pandas.Timestamp.combine.rst", "reference/api/pandas.Timestamp.ctime.rst", "reference/api/pandas.Timestamp.date.rst", "reference/api/pandas.Timestamp.day.rst", "reference/api/pandas.Timestamp.day_name.rst", "reference/api/pandas.Timestamp.day_of_week.rst", "reference/api/pandas.Timestamp.day_of_year.rst", "reference/api/pandas.Timestamp.dayofweek.rst", "reference/api/pandas.Timestamp.dayofyear.rst", "reference/api/pandas.Timestamp.days_in_month.rst", "reference/api/pandas.Timestamp.daysinmonth.rst", "reference/api/pandas.Timestamp.dst.rst", "reference/api/pandas.Timestamp.floor.rst", "reference/api/pandas.Timestamp.fold.rst", "reference/api/pandas.Timestamp.fromordinal.rst", "reference/api/pandas.Timestamp.fromtimestamp.rst", "reference/api/pandas.Timestamp.hour.rst", "reference/api/pandas.Timestamp.is_leap_year.rst", "reference/api/pandas.Timestamp.is_month_end.rst", "reference/api/pandas.Timestamp.is_month_start.rst", "reference/api/pandas.Timestamp.is_quarter_end.rst", "reference/api/pandas.Timestamp.is_quarter_start.rst", "reference/api/pandas.Timestamp.is_year_end.rst", "reference/api/pandas.Timestamp.is_year_start.rst", "reference/api/pandas.Timestamp.isocalendar.rst", "reference/api/pandas.Timestamp.isoformat.rst", "reference/api/pandas.Timestamp.isoweekday.rst", "reference/api/pandas.Timestamp.max.rst", "reference/api/pandas.Timestamp.microsecond.rst", "reference/api/pandas.Timestamp.min.rst", "reference/api/pandas.Timestamp.minute.rst", "reference/api/pandas.Timestamp.month.rst", "reference/api/pandas.Timestamp.month_name.rst", "reference/api/pandas.Timestamp.nanosecond.rst", "reference/api/pandas.Timestamp.normalize.rst", "reference/api/pandas.Timestamp.now.rst", "reference/api/pandas.Timestamp.quarter.rst", "reference/api/pandas.Timestamp.replace.rst", "reference/api/pandas.Timestamp.resolution.rst", "reference/api/pandas.Timestamp.round.rst", "reference/api/pandas.Timestamp.second.rst", "reference/api/pandas.Timestamp.strftime.rst", "reference/api/pandas.Timestamp.strptime.rst", "reference/api/pandas.Timestamp.time.rst", "reference/api/pandas.Timestamp.timestamp.rst", "reference/api/pandas.Timestamp.timetuple.rst", "reference/api/pandas.Timestamp.timetz.rst", "reference/api/pandas.Timestamp.to_datetime64.rst", "reference/api/pandas.Timestamp.to_julian_date.rst", "reference/api/pandas.Timestamp.to_numpy.rst", "reference/api/pandas.Timestamp.to_period.rst", "reference/api/pandas.Timestamp.to_pydatetime.rst", "reference/api/pandas.Timestamp.today.rst", "reference/api/pandas.Timestamp.toordinal.rst", "reference/api/pandas.Timestamp.tz.rst", "reference/api/pandas.Timestamp.tz_convert.rst", "reference/api/pandas.Timestamp.tz_localize.rst", "reference/api/pandas.Timestamp.tzinfo.rst", "reference/api/pandas.Timestamp.tzname.rst", "reference/api/pandas.Timestamp.unit.rst", "reference/api/pandas.Timestamp.utcfromtimestamp.rst", "reference/api/pandas.Timestamp.utcnow.rst", "reference/api/pandas.Timestamp.utcoffset.rst", "reference/api/pandas.Timestamp.utctimetuple.rst", "reference/api/pandas.Timestamp.value.rst", "reference/api/pandas.Timestamp.week.rst", "reference/api/pandas.Timestamp.weekday.rst", "reference/api/pandas.Timestamp.weekofyear.rst", "reference/api/pandas.Timestamp.year.rst", "reference/api/pandas.UInt16Dtype.rst", "reference/api/pandas.UInt32Dtype.rst", "reference/api/pandas.UInt64Dtype.rst", "reference/api/pandas.UInt8Dtype.rst", "reference/api/pandas.api.extensions.ExtensionArray.rst", "reference/api/pandas.api.extensions.ExtensionArray._accumulate.rst", "reference/api/pandas.api.extensions.ExtensionArray._concat_same_type.rst", "reference/api/pandas.api.extensions.ExtensionArray._explode.rst", "reference/api/pandas.api.extensions.ExtensionArray._formatter.rst", "reference/api/pandas.api.extensions.ExtensionArray._from_factorized.rst", "reference/api/pandas.api.extensions.ExtensionArray._from_sequence.rst", "reference/api/pandas.api.extensions.ExtensionArray._from_sequence_of_strings.rst", "reference/api/pandas.api.extensions.ExtensionArray._hash_pandas_object.rst", "reference/api/pandas.api.extensions.ExtensionArray._pad_or_backfill.rst", "reference/api/pandas.api.extensions.ExtensionArray._reduce.rst", "reference/api/pandas.api.extensions.ExtensionArray._values_for_argsort.rst", "reference/api/pandas.api.extensions.ExtensionArray._values_for_factorize.rst", "reference/api/pandas.api.extensions.ExtensionArray.argsort.rst", "reference/api/pandas.api.extensions.ExtensionArray.astype.rst", "reference/api/pandas.api.extensions.ExtensionArray.copy.rst", "reference/api/pandas.api.extensions.ExtensionArray.dropna.rst", "reference/api/pandas.api.extensions.ExtensionArray.dtype.rst", "reference/api/pandas.api.extensions.ExtensionArray.duplicated.rst", "reference/api/pandas.api.extensions.ExtensionArray.equals.rst", "reference/api/pandas.api.extensions.ExtensionArray.factorize.rst", "reference/api/pandas.api.extensions.ExtensionArray.fillna.rst", "reference/api/pandas.api.extensions.ExtensionArray.insert.rst", "reference/api/pandas.api.extensions.ExtensionArray.interpolate.rst", "reference/api/pandas.api.extensions.ExtensionArray.isin.rst", "reference/api/pandas.api.extensions.ExtensionArray.isna.rst", "reference/api/pandas.api.extensions.ExtensionArray.nbytes.rst", "reference/api/pandas.api.extensions.ExtensionArray.ndim.rst", "reference/api/pandas.api.extensions.ExtensionArray.ravel.rst", "reference/api/pandas.api.extensions.ExtensionArray.repeat.rst", "reference/api/pandas.api.extensions.ExtensionArray.searchsorted.rst", "reference/api/pandas.api.extensions.ExtensionArray.shape.rst", "reference/api/pandas.api.extensions.ExtensionArray.shift.rst", "reference/api/pandas.api.extensions.ExtensionArray.take.rst", "reference/api/pandas.api.extensions.ExtensionArray.tolist.rst", "reference/api/pandas.api.extensions.ExtensionArray.unique.rst", "reference/api/pandas.api.extensions.ExtensionArray.view.rst", "reference/api/pandas.api.extensions.ExtensionDtype.rst", "reference/api/pandas.api.extensions.register_dataframe_accessor.rst", "reference/api/pandas.api.extensions.register_extension_dtype.rst", "reference/api/pandas.api.extensions.register_index_accessor.rst", "reference/api/pandas.api.extensions.register_series_accessor.rst", "reference/api/pandas.api.indexers.BaseIndexer.rst", "reference/api/pandas.api.indexers.FixedForwardWindowIndexer.rst", "reference/api/pandas.api.indexers.VariableOffsetWindowIndexer.rst", "reference/api/pandas.api.indexers.check_array_indexer.rst", "reference/api/pandas.api.interchange.from_dataframe.rst", "reference/api/pandas.api.types.infer_dtype.rst", "reference/api/pandas.api.types.is_any_real_numeric_dtype.rst", "reference/api/pandas.api.types.is_bool.rst", "reference/api/pandas.api.types.is_bool_dtype.rst", "reference/api/pandas.api.types.is_categorical_dtype.rst", "reference/api/pandas.api.types.is_complex.rst", "reference/api/pandas.api.types.is_complex_dtype.rst", "reference/api/pandas.api.types.is_datetime64_any_dtype.rst", "reference/api/pandas.api.types.is_datetime64_dtype.rst", "reference/api/pandas.api.types.is_datetime64_ns_dtype.rst", "reference/api/pandas.api.types.is_datetime64tz_dtype.rst", "reference/api/pandas.api.types.is_dict_like.rst", "reference/api/pandas.api.types.is_extension_array_dtype.rst", "reference/api/pandas.api.types.is_file_like.rst", "reference/api/pandas.api.types.is_float.rst", "reference/api/pandas.api.types.is_float_dtype.rst", "reference/api/pandas.api.types.is_hashable.rst", "reference/api/pandas.api.types.is_int64_dtype.rst", "reference/api/pandas.api.types.is_integer.rst", "reference/api/pandas.api.types.is_integer_dtype.rst", "reference/api/pandas.api.types.is_interval.rst", "reference/api/pandas.api.types.is_interval_dtype.rst", "reference/api/pandas.api.types.is_iterator.rst", "reference/api/pandas.api.types.is_list_like.rst", "reference/api/pandas.api.types.is_named_tuple.rst", "reference/api/pandas.api.types.is_number.rst", "reference/api/pandas.api.types.is_numeric_dtype.rst", "reference/api/pandas.api.types.is_object_dtype.rst", "reference/api/pandas.api.types.is_period_dtype.rst", "reference/api/pandas.api.types.is_re.rst", "reference/api/pandas.api.types.is_re_compilable.rst", "reference/api/pandas.api.types.is_scalar.rst", "reference/api/pandas.api.types.is_signed_integer_dtype.rst", "reference/api/pandas.api.types.is_sparse.rst", "reference/api/pandas.api.types.is_string_dtype.rst", "reference/api/pandas.api.types.is_timedelta64_dtype.rst", "reference/api/pandas.api.types.is_timedelta64_ns_dtype.rst", "reference/api/pandas.api.types.is_unsigned_integer_dtype.rst", "reference/api/pandas.api.types.pandas_dtype.rst", "reference/api/pandas.api.types.union_categoricals.rst", "reference/api/pandas.array.rst", "reference/api/pandas.arrays.ArrowExtensionArray.rst", "reference/api/pandas.arrays.ArrowStringArray.rst", "reference/api/pandas.arrays.BooleanArray.rst", "reference/api/pandas.arrays.DatetimeArray.rst", "reference/api/pandas.arrays.FloatingArray.rst", "reference/api/pandas.arrays.IntegerArray.rst", "reference/api/pandas.arrays.IntervalArray.rst", "reference/api/pandas.arrays.IntervalArray.closed.rst", "reference/api/pandas.arrays.IntervalArray.contains.rst", "reference/api/pandas.arrays.IntervalArray.from_arrays.rst", "reference/api/pandas.arrays.IntervalArray.from_breaks.rst", "reference/api/pandas.arrays.IntervalArray.from_tuples.rst", "reference/api/pandas.arrays.IntervalArray.is_empty.rst", "reference/api/pandas.arrays.IntervalArray.is_non_overlapping_monotonic.rst", "reference/api/pandas.arrays.IntervalArray.left.rst", "reference/api/pandas.arrays.IntervalArray.length.rst", "reference/api/pandas.arrays.IntervalArray.mid.rst", "reference/api/pandas.arrays.IntervalArray.overlaps.rst", "reference/api/pandas.arrays.IntervalArray.right.rst", "reference/api/pandas.arrays.IntervalArray.set_closed.rst", "reference/api/pandas.arrays.IntervalArray.to_tuples.rst", "reference/api/pandas.arrays.NumpyExtensionArray.rst", "reference/api/pandas.arrays.PeriodArray.rst", "reference/api/pandas.arrays.SparseArray.rst", "reference/api/pandas.arrays.StringArray.rst", "reference/api/pandas.arrays.TimedeltaArray.rst", "reference/api/pandas.bdate_range.rst", "reference/api/pandas.concat.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.__iter__.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.agg.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.aggregate.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.all.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.any.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.apply.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.bfill.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.boxplot.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.corr.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.corrwith.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.count.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.cov.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.cumcount.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.cummax.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.cummin.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.cumprod.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.cumsum.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.describe.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.diff.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.ffill.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.fillna.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.filter.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.first.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.get_group.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.groups.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.head.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.hist.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.idxmax.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.idxmin.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.indices.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.last.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.max.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.mean.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.median.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.min.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.ngroup.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.nth.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.nunique.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.ohlc.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.pct_change.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.pipe.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.plot.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.prod.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.quantile.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.rank.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.resample.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.rolling.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.sample.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.sem.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.shift.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.size.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.skew.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.std.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.sum.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.tail.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.take.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.transform.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.value_counts.rst", "reference/api/pandas.core.groupby.DataFrameGroupBy.var.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.__iter__.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.agg.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.aggregate.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.all.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.any.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.apply.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.bfill.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.corr.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.count.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.cov.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.cumcount.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.cummax.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.cummin.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.cumprod.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.cumsum.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.describe.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.diff.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.ffill.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.fillna.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.filter.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.first.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.get_group.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.groups.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.head.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.hist.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.idxmax.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.idxmin.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.indices.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.last.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.max.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.mean.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.median.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.min.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.ngroup.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.nlargest.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.nsmallest.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.nth.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.nunique.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.ohlc.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.pct_change.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.pipe.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.plot.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.prod.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.quantile.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.rank.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.resample.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.rolling.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.sample.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.sem.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.shift.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.size.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.skew.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.std.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.sum.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.tail.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.take.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.transform.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.unique.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.value_counts.rst", "reference/api/pandas.core.groupby.SeriesGroupBy.var.rst", "reference/api/pandas.core.resample.Resampler.__iter__.rst", "reference/api/pandas.core.resample.Resampler.aggregate.rst", "reference/api/pandas.core.resample.Resampler.apply.rst", "reference/api/pandas.core.resample.Resampler.asfreq.rst", "reference/api/pandas.core.resample.Resampler.bfill.rst", "reference/api/pandas.core.resample.Resampler.count.rst", "reference/api/pandas.core.resample.Resampler.ffill.rst", "reference/api/pandas.core.resample.Resampler.fillna.rst", "reference/api/pandas.core.resample.Resampler.first.rst", "reference/api/pandas.core.resample.Resampler.get_group.rst", "reference/api/pandas.core.resample.Resampler.groups.rst", "reference/api/pandas.core.resample.Resampler.indices.rst", "reference/api/pandas.core.resample.Resampler.interpolate.rst", "reference/api/pandas.core.resample.Resampler.last.rst", "reference/api/pandas.core.resample.Resampler.max.rst", "reference/api/pandas.core.resample.Resampler.mean.rst", "reference/api/pandas.core.resample.Resampler.median.rst", "reference/api/pandas.core.resample.Resampler.min.rst", "reference/api/pandas.core.resample.Resampler.nearest.rst", "reference/api/pandas.core.resample.Resampler.nunique.rst", "reference/api/pandas.core.resample.Resampler.ohlc.rst", "reference/api/pandas.core.resample.Resampler.pipe.rst", "reference/api/pandas.core.resample.Resampler.prod.rst", "reference/api/pandas.core.resample.Resampler.quantile.rst", "reference/api/pandas.core.resample.Resampler.sem.rst", "reference/api/pandas.core.resample.Resampler.size.rst", "reference/api/pandas.core.resample.Resampler.std.rst", "reference/api/pandas.core.resample.Resampler.sum.rst", "reference/api/pandas.core.resample.Resampler.transform.rst", "reference/api/pandas.core.resample.Resampler.var.rst", "reference/api/pandas.core.window.ewm.ExponentialMovingWindow.corr.rst", "reference/api/pandas.core.window.ewm.ExponentialMovingWindow.cov.rst", "reference/api/pandas.core.window.ewm.ExponentialMovingWindow.mean.rst", "reference/api/pandas.core.window.ewm.ExponentialMovingWindow.std.rst", "reference/api/pandas.core.window.ewm.ExponentialMovingWindow.sum.rst", "reference/api/pandas.core.window.ewm.ExponentialMovingWindow.var.rst", "reference/api/pandas.core.window.expanding.Expanding.aggregate.rst", "reference/api/pandas.core.window.expanding.Expanding.apply.rst", "reference/api/pandas.core.window.expanding.Expanding.corr.rst", "reference/api/pandas.core.window.expanding.Expanding.count.rst", "reference/api/pandas.core.window.expanding.Expanding.cov.rst", "reference/api/pandas.core.window.expanding.Expanding.kurt.rst", "reference/api/pandas.core.window.expanding.Expanding.max.rst", "reference/api/pandas.core.window.expanding.Expanding.mean.rst", "reference/api/pandas.core.window.expanding.Expanding.median.rst", "reference/api/pandas.core.window.expanding.Expanding.min.rst", "reference/api/pandas.core.window.expanding.Expanding.quantile.rst", "reference/api/pandas.core.window.expanding.Expanding.rank.rst", "reference/api/pandas.core.window.expanding.Expanding.sem.rst", "reference/api/pandas.core.window.expanding.Expanding.skew.rst", "reference/api/pandas.core.window.expanding.Expanding.std.rst", "reference/api/pandas.core.window.expanding.Expanding.sum.rst", "reference/api/pandas.core.window.expanding.Expanding.var.rst", "reference/api/pandas.core.window.rolling.Rolling.aggregate.rst", "reference/api/pandas.core.window.rolling.Rolling.apply.rst", "reference/api/pandas.core.window.rolling.Rolling.corr.rst", "reference/api/pandas.core.window.rolling.Rolling.count.rst", "reference/api/pandas.core.window.rolling.Rolling.cov.rst", "reference/api/pandas.core.window.rolling.Rolling.kurt.rst", "reference/api/pandas.core.window.rolling.Rolling.max.rst", "reference/api/pandas.core.window.rolling.Rolling.mean.rst", "reference/api/pandas.core.window.rolling.Rolling.median.rst", "reference/api/pandas.core.window.rolling.Rolling.min.rst", "reference/api/pandas.core.window.rolling.Rolling.quantile.rst", "reference/api/pandas.core.window.rolling.Rolling.rank.rst", "reference/api/pandas.core.window.rolling.Rolling.sem.rst", "reference/api/pandas.core.window.rolling.Rolling.skew.rst", "reference/api/pandas.core.window.rolling.Rolling.std.rst", "reference/api/pandas.core.window.rolling.Rolling.sum.rst", "reference/api/pandas.core.window.rolling.Rolling.var.rst", "reference/api/pandas.core.window.rolling.Window.mean.rst", "reference/api/pandas.core.window.rolling.Window.std.rst", "reference/api/pandas.core.window.rolling.Window.sum.rst", "reference/api/pandas.core.window.rolling.Window.var.rst", "reference/api/pandas.crosstab.rst", "reference/api/pandas.cut.rst", "reference/api/pandas.date_range.rst", "reference/api/pandas.describe_option.rst", "reference/api/pandas.errors.AbstractMethodError.rst", "reference/api/pandas.errors.AttributeConflictWarning.rst", "reference/api/pandas.errors.CSSWarning.rst", "reference/api/pandas.errors.CategoricalConversionWarning.rst", "reference/api/pandas.errors.ChainedAssignmentError.rst", "reference/api/pandas.errors.ClosedFileError.rst", "reference/api/pandas.errors.DataError.rst", "reference/api/pandas.errors.DatabaseError.rst", "reference/api/pandas.errors.DtypeWarning.rst", "reference/api/pandas.errors.DuplicateLabelError.rst", "reference/api/pandas.errors.EmptyDataError.rst", "reference/api/pandas.errors.IncompatibilityWarning.rst", "reference/api/pandas.errors.IndexingError.rst", "reference/api/pandas.errors.IntCastingNaNError.rst", "reference/api/pandas.errors.InvalidColumnName.rst", "reference/api/pandas.errors.InvalidComparison.rst", "reference/api/pandas.errors.InvalidIndexError.rst", "reference/api/pandas.errors.InvalidVersion.rst", "reference/api/pandas.errors.LossySetitemError.rst", "reference/api/pandas.errors.MergeError.rst", "reference/api/pandas.errors.NoBufferPresent.rst", "reference/api/pandas.errors.NullFrequencyError.rst", "reference/api/pandas.errors.NumExprClobberingError.rst", "reference/api/pandas.errors.NumbaUtilError.rst", "reference/api/pandas.errors.OptionError.rst", "reference/api/pandas.errors.OutOfBoundsDatetime.rst", "reference/api/pandas.errors.OutOfBoundsTimedelta.rst", "reference/api/pandas.errors.ParserError.rst", "reference/api/pandas.errors.ParserWarning.rst", "reference/api/pandas.errors.PerformanceWarning.rst", "reference/api/pandas.errors.PossibleDataLossError.rst", "reference/api/pandas.errors.PossiblePrecisionLoss.rst", "reference/api/pandas.errors.PyperclipException.rst", "reference/api/pandas.errors.PyperclipWindowsException.rst", "reference/api/pandas.errors.SettingWithCopyError.rst", "reference/api/pandas.errors.SettingWithCopyWarning.rst", "reference/api/pandas.errors.SpecificationError.rst", "reference/api/pandas.errors.UndefinedVariableError.rst", "reference/api/pandas.errors.UnsortedIndexError.rst", "reference/api/pandas.errors.UnsupportedFunctionCall.rst", "reference/api/pandas.errors.ValueLabelTypeMismatch.rst", "reference/api/pandas.eval.rst", "reference/api/pandas.factorize.rst", "reference/api/pandas.from_dummies.rst", "reference/api/pandas.get_dummies.rst", "reference/api/pandas.get_option.rst", "reference/api/pandas.infer_freq.rst", "reference/api/pandas.interval_range.rst", "reference/api/pandas.io.formats.style.Styler.rst", "reference/api/pandas.io.formats.style.Styler.apply.rst", "reference/api/pandas.io.formats.style.Styler.apply_index.rst", "reference/api/pandas.io.formats.style.Styler.background_gradient.rst", "reference/api/pandas.io.formats.style.Styler.bar.rst", "reference/api/pandas.io.formats.style.Styler.clear.rst", "reference/api/pandas.io.formats.style.Styler.concat.rst", "reference/api/pandas.io.formats.style.Styler.env.rst", "reference/api/pandas.io.formats.style.Styler.export.rst", "reference/api/pandas.io.formats.style.Styler.format.rst", "reference/api/pandas.io.formats.style.Styler.format_index.rst", "reference/api/pandas.io.formats.style.Styler.from_custom_template.rst", "reference/api/pandas.io.formats.style.Styler.hide.rst", "reference/api/pandas.io.formats.style.Styler.highlight_between.rst", "reference/api/pandas.io.formats.style.Styler.highlight_max.rst", "reference/api/pandas.io.formats.style.Styler.highlight_min.rst", "reference/api/pandas.io.formats.style.Styler.highlight_null.rst", "reference/api/pandas.io.formats.style.Styler.highlight_quantile.rst", "reference/api/pandas.io.formats.style.Styler.loader.rst", "reference/api/pandas.io.formats.style.Styler.map.rst", "reference/api/pandas.io.formats.style.Styler.map_index.rst", "reference/api/pandas.io.formats.style.Styler.pipe.rst", "reference/api/pandas.io.formats.style.Styler.relabel_index.rst", "reference/api/pandas.io.formats.style.Styler.set_caption.rst", "reference/api/pandas.io.formats.style.Styler.set_properties.rst", "reference/api/pandas.io.formats.style.Styler.set_sticky.rst", "reference/api/pandas.io.formats.style.Styler.set_table_attributes.rst", "reference/api/pandas.io.formats.style.Styler.set_table_styles.rst", "reference/api/pandas.io.formats.style.Styler.set_td_classes.rst", "reference/api/pandas.io.formats.style.Styler.set_tooltips.rst", "reference/api/pandas.io.formats.style.Styler.set_uuid.rst", "reference/api/pandas.io.formats.style.Styler.template_html.rst", "reference/api/pandas.io.formats.style.Styler.template_html_style.rst", "reference/api/pandas.io.formats.style.Styler.template_html_table.rst", "reference/api/pandas.io.formats.style.Styler.template_latex.rst", "reference/api/pandas.io.formats.style.Styler.template_string.rst", "reference/api/pandas.io.formats.style.Styler.text_gradient.rst", "reference/api/pandas.io.formats.style.Styler.to_excel.rst", "reference/api/pandas.io.formats.style.Styler.to_html.rst", "reference/api/pandas.io.formats.style.Styler.to_latex.rst", "reference/api/pandas.io.formats.style.Styler.to_string.rst", "reference/api/pandas.io.formats.style.Styler.use.rst", "reference/api/pandas.io.json.build_table_schema.rst", "reference/api/pandas.io.stata.StataReader.data_label.rst", "reference/api/pandas.io.stata.StataReader.value_labels.rst", "reference/api/pandas.io.stata.StataReader.variable_labels.rst", "reference/api/pandas.io.stata.StataWriter.write_file.rst", "reference/api/pandas.isna.rst", "reference/api/pandas.isnull.rst", "reference/api/pandas.json_normalize.rst", "reference/api/pandas.lreshape.rst", "reference/api/pandas.melt.rst", "reference/api/pandas.merge.rst", "reference/api/pandas.merge_asof.rst", "reference/api/pandas.merge_ordered.rst", "reference/api/pandas.notna.rst", "reference/api/pandas.notnull.rst", "reference/api/pandas.option_context.rst", "reference/api/pandas.period_range.rst", "reference/api/pandas.pivot.rst", "reference/api/pandas.pivot_table.rst", "reference/api/pandas.plotting.andrews_curves.rst", "reference/api/pandas.plotting.autocorrelation_plot.rst", "reference/api/pandas.plotting.bootstrap_plot.rst", "reference/api/pandas.plotting.boxplot.rst", "reference/api/pandas.plotting.deregister_matplotlib_converters.rst", "reference/api/pandas.plotting.lag_plot.rst", "reference/api/pandas.plotting.parallel_coordinates.rst", "reference/api/pandas.plotting.plot_params.rst", "reference/api/pandas.plotting.radviz.rst", "reference/api/pandas.plotting.register_matplotlib_converters.rst", "reference/api/pandas.plotting.scatter_matrix.rst", "reference/api/pandas.plotting.table.rst", "reference/api/pandas.qcut.rst", "reference/api/pandas.read_clipboard.rst", "reference/api/pandas.read_csv.rst", "reference/api/pandas.read_excel.rst", "reference/api/pandas.read_feather.rst", "reference/api/pandas.read_fwf.rst", "reference/api/pandas.read_gbq.rst", "reference/api/pandas.read_hdf.rst", "reference/api/pandas.read_html.rst", "reference/api/pandas.read_json.rst", "reference/api/pandas.read_orc.rst", "reference/api/pandas.read_parquet.rst", "reference/api/pandas.read_pickle.rst", "reference/api/pandas.read_sas.rst", "reference/api/pandas.read_spss.rst", "reference/api/pandas.read_sql.rst", "reference/api/pandas.read_sql_query.rst", "reference/api/pandas.read_sql_table.rst", "reference/api/pandas.read_stata.rst", "reference/api/pandas.read_table.rst", "reference/api/pandas.read_xml.rst", "reference/api/pandas.reset_option.rst", "reference/api/pandas.set_eng_float_format.rst", "reference/api/pandas.set_option.rst", "reference/api/pandas.show_versions.rst", "reference/api/pandas.test.rst", "reference/api/pandas.testing.assert_extension_array_equal.rst", "reference/api/pandas.testing.assert_frame_equal.rst", "reference/api/pandas.testing.assert_index_equal.rst", "reference/api/pandas.testing.assert_series_equal.rst", "reference/api/pandas.timedelta_range.rst", "reference/api/pandas.to_datetime.rst", "reference/api/pandas.to_numeric.rst", "reference/api/pandas.to_timedelta.rst", "reference/api/pandas.tseries.api.guess_datetime_format.rst", "reference/api/pandas.tseries.frequencies.to_offset.rst", "reference/api/pandas.tseries.offsets.BDay.rst", "reference/api/pandas.tseries.offsets.BMonthBegin.rst", "reference/api/pandas.tseries.offsets.BMonthEnd.rst", "reference/api/pandas.tseries.offsets.BQuarterBegin.rst", "reference/api/pandas.tseries.offsets.BQuarterBegin.copy.rst", "reference/api/pandas.tseries.offsets.BQuarterBegin.freqstr.rst", "reference/api/pandas.tseries.offsets.BQuarterBegin.is_anchored.rst", "reference/api/pandas.tseries.offsets.BQuarterBegin.is_month_end.rst", "reference/api/pandas.tseries.offsets.BQuarterBegin.is_month_start.rst", "reference/api/pandas.tseries.offsets.BQuarterBegin.is_on_offset.rst", "reference/api/pandas.tseries.offsets.BQuarterBegin.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.BQuarterBegin.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.BQuarterBegin.is_year_end.rst", "reference/api/pandas.tseries.offsets.BQuarterBegin.is_year_start.rst", "reference/api/pandas.tseries.offsets.BQuarterBegin.kwds.rst", "reference/api/pandas.tseries.offsets.BQuarterBegin.n.rst", "reference/api/pandas.tseries.offsets.BQuarterBegin.name.rst", "reference/api/pandas.tseries.offsets.BQuarterBegin.nanos.rst", "reference/api/pandas.tseries.offsets.BQuarterBegin.normalize.rst", "reference/api/pandas.tseries.offsets.BQuarterBegin.rule_code.rst", "reference/api/pandas.tseries.offsets.BQuarterBegin.startingMonth.rst", "reference/api/pandas.tseries.offsets.BQuarterEnd.rst", "reference/api/pandas.tseries.offsets.BQuarterEnd.copy.rst", "reference/api/pandas.tseries.offsets.BQuarterEnd.freqstr.rst", "reference/api/pandas.tseries.offsets.BQuarterEnd.is_anchored.rst", "reference/api/pandas.tseries.offsets.BQuarterEnd.is_month_end.rst", "reference/api/pandas.tseries.offsets.BQuarterEnd.is_month_start.rst", "reference/api/pandas.tseries.offsets.BQuarterEnd.is_on_offset.rst", "reference/api/pandas.tseries.offsets.BQuarterEnd.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.BQuarterEnd.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.BQuarterEnd.is_year_end.rst", "reference/api/pandas.tseries.offsets.BQuarterEnd.is_year_start.rst", "reference/api/pandas.tseries.offsets.BQuarterEnd.kwds.rst", "reference/api/pandas.tseries.offsets.BQuarterEnd.n.rst", "reference/api/pandas.tseries.offsets.BQuarterEnd.name.rst", "reference/api/pandas.tseries.offsets.BQuarterEnd.nanos.rst", "reference/api/pandas.tseries.offsets.BQuarterEnd.normalize.rst", "reference/api/pandas.tseries.offsets.BQuarterEnd.rule_code.rst", "reference/api/pandas.tseries.offsets.BQuarterEnd.startingMonth.rst", "reference/api/pandas.tseries.offsets.BYearBegin.rst", "reference/api/pandas.tseries.offsets.BYearBegin.copy.rst", "reference/api/pandas.tseries.offsets.BYearBegin.freqstr.rst", "reference/api/pandas.tseries.offsets.BYearBegin.is_anchored.rst", "reference/api/pandas.tseries.offsets.BYearBegin.is_month_end.rst", "reference/api/pandas.tseries.offsets.BYearBegin.is_month_start.rst", "reference/api/pandas.tseries.offsets.BYearBegin.is_on_offset.rst", "reference/api/pandas.tseries.offsets.BYearBegin.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.BYearBegin.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.BYearBegin.is_year_end.rst", "reference/api/pandas.tseries.offsets.BYearBegin.is_year_start.rst", "reference/api/pandas.tseries.offsets.BYearBegin.kwds.rst", "reference/api/pandas.tseries.offsets.BYearBegin.month.rst", "reference/api/pandas.tseries.offsets.BYearBegin.n.rst", "reference/api/pandas.tseries.offsets.BYearBegin.name.rst", "reference/api/pandas.tseries.offsets.BYearBegin.nanos.rst", "reference/api/pandas.tseries.offsets.BYearBegin.normalize.rst", "reference/api/pandas.tseries.offsets.BYearBegin.rule_code.rst", "reference/api/pandas.tseries.offsets.BYearEnd.rst", "reference/api/pandas.tseries.offsets.BYearEnd.copy.rst", "reference/api/pandas.tseries.offsets.BYearEnd.freqstr.rst", "reference/api/pandas.tseries.offsets.BYearEnd.is_anchored.rst", "reference/api/pandas.tseries.offsets.BYearEnd.is_month_end.rst", "reference/api/pandas.tseries.offsets.BYearEnd.is_month_start.rst", "reference/api/pandas.tseries.offsets.BYearEnd.is_on_offset.rst", "reference/api/pandas.tseries.offsets.BYearEnd.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.BYearEnd.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.BYearEnd.is_year_end.rst", "reference/api/pandas.tseries.offsets.BYearEnd.is_year_start.rst", "reference/api/pandas.tseries.offsets.BYearEnd.kwds.rst", "reference/api/pandas.tseries.offsets.BYearEnd.month.rst", "reference/api/pandas.tseries.offsets.BYearEnd.n.rst", "reference/api/pandas.tseries.offsets.BYearEnd.name.rst", "reference/api/pandas.tseries.offsets.BYearEnd.nanos.rst", "reference/api/pandas.tseries.offsets.BYearEnd.normalize.rst", "reference/api/pandas.tseries.offsets.BYearEnd.rule_code.rst", "reference/api/pandas.tseries.offsets.BusinessDay.rst", "reference/api/pandas.tseries.offsets.BusinessDay.calendar.rst", "reference/api/pandas.tseries.offsets.BusinessDay.copy.rst", "reference/api/pandas.tseries.offsets.BusinessDay.freqstr.rst", "reference/api/pandas.tseries.offsets.BusinessDay.holidays.rst", "reference/api/pandas.tseries.offsets.BusinessDay.is_anchored.rst", "reference/api/pandas.tseries.offsets.BusinessDay.is_month_end.rst", "reference/api/pandas.tseries.offsets.BusinessDay.is_month_start.rst", "reference/api/pandas.tseries.offsets.BusinessDay.is_on_offset.rst", "reference/api/pandas.tseries.offsets.BusinessDay.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.BusinessDay.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.BusinessDay.is_year_end.rst", "reference/api/pandas.tseries.offsets.BusinessDay.is_year_start.rst", "reference/api/pandas.tseries.offsets.BusinessDay.kwds.rst", "reference/api/pandas.tseries.offsets.BusinessDay.n.rst", "reference/api/pandas.tseries.offsets.BusinessDay.name.rst", "reference/api/pandas.tseries.offsets.BusinessDay.nanos.rst", "reference/api/pandas.tseries.offsets.BusinessDay.normalize.rst", "reference/api/pandas.tseries.offsets.BusinessDay.rule_code.rst", "reference/api/pandas.tseries.offsets.BusinessDay.weekmask.rst", "reference/api/pandas.tseries.offsets.BusinessHour.rst", "reference/api/pandas.tseries.offsets.BusinessHour.calendar.rst", "reference/api/pandas.tseries.offsets.BusinessHour.copy.rst", "reference/api/pandas.tseries.offsets.BusinessHour.end.rst", "reference/api/pandas.tseries.offsets.BusinessHour.freqstr.rst", "reference/api/pandas.tseries.offsets.BusinessHour.holidays.rst", "reference/api/pandas.tseries.offsets.BusinessHour.is_anchored.rst", "reference/api/pandas.tseries.offsets.BusinessHour.is_month_end.rst", "reference/api/pandas.tseries.offsets.BusinessHour.is_month_start.rst", "reference/api/pandas.tseries.offsets.BusinessHour.is_on_offset.rst", "reference/api/pandas.tseries.offsets.BusinessHour.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.BusinessHour.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.BusinessHour.is_year_end.rst", "reference/api/pandas.tseries.offsets.BusinessHour.is_year_start.rst", "reference/api/pandas.tseries.offsets.BusinessHour.kwds.rst", "reference/api/pandas.tseries.offsets.BusinessHour.n.rst", "reference/api/pandas.tseries.offsets.BusinessHour.name.rst", "reference/api/pandas.tseries.offsets.BusinessHour.nanos.rst", "reference/api/pandas.tseries.offsets.BusinessHour.normalize.rst", "reference/api/pandas.tseries.offsets.BusinessHour.rule_code.rst", "reference/api/pandas.tseries.offsets.BusinessHour.start.rst", "reference/api/pandas.tseries.offsets.BusinessHour.weekmask.rst", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.rst", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.copy.rst", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.freqstr.rst", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.is_anchored.rst", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.is_month_end.rst", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.is_month_start.rst", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.is_on_offset.rst", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.is_year_end.rst", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.is_year_start.rst", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.kwds.rst", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.n.rst", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.name.rst", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.nanos.rst", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.normalize.rst", "reference/api/pandas.tseries.offsets.BusinessMonthBegin.rule_code.rst", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.rst", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.copy.rst", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.freqstr.rst", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.is_anchored.rst", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.is_month_end.rst", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.is_month_start.rst", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.is_on_offset.rst", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.is_year_end.rst", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.is_year_start.rst", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.kwds.rst", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.n.rst", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.name.rst", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.nanos.rst", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.normalize.rst", "reference/api/pandas.tseries.offsets.BusinessMonthEnd.rule_code.rst", "reference/api/pandas.tseries.offsets.CBMonthBegin.rst", "reference/api/pandas.tseries.offsets.CBMonthEnd.rst", "reference/api/pandas.tseries.offsets.CDay.rst", "reference/api/pandas.tseries.offsets.CustomBusinessDay.rst", "reference/api/pandas.tseries.offsets.CustomBusinessDay.calendar.rst", "reference/api/pandas.tseries.offsets.CustomBusinessDay.copy.rst", "reference/api/pandas.tseries.offsets.CustomBusinessDay.freqstr.rst", "reference/api/pandas.tseries.offsets.CustomBusinessDay.holidays.rst", "reference/api/pandas.tseries.offsets.CustomBusinessDay.is_anchored.rst", "reference/api/pandas.tseries.offsets.CustomBusinessDay.is_month_end.rst", "reference/api/pandas.tseries.offsets.CustomBusinessDay.is_month_start.rst", "reference/api/pandas.tseries.offsets.CustomBusinessDay.is_on_offset.rst", "reference/api/pandas.tseries.offsets.CustomBusinessDay.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.CustomBusinessDay.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.CustomBusinessDay.is_year_end.rst", "reference/api/pandas.tseries.offsets.CustomBusinessDay.is_year_start.rst", "reference/api/pandas.tseries.offsets.CustomBusinessDay.kwds.rst", "reference/api/pandas.tseries.offsets.CustomBusinessDay.n.rst", "reference/api/pandas.tseries.offsets.CustomBusinessDay.name.rst", "reference/api/pandas.tseries.offsets.CustomBusinessDay.nanos.rst", "reference/api/pandas.tseries.offsets.CustomBusinessDay.normalize.rst", "reference/api/pandas.tseries.offsets.CustomBusinessDay.rule_code.rst", "reference/api/pandas.tseries.offsets.CustomBusinessDay.weekmask.rst", "reference/api/pandas.tseries.offsets.CustomBusinessHour.rst", "reference/api/pandas.tseries.offsets.CustomBusinessHour.calendar.rst", "reference/api/pandas.tseries.offsets.CustomBusinessHour.copy.rst", "reference/api/pandas.tseries.offsets.CustomBusinessHour.end.rst", "reference/api/pandas.tseries.offsets.CustomBusinessHour.freqstr.rst", "reference/api/pandas.tseries.offsets.CustomBusinessHour.holidays.rst", "reference/api/pandas.tseries.offsets.CustomBusinessHour.is_anchored.rst", "reference/api/pandas.tseries.offsets.CustomBusinessHour.is_month_end.rst", "reference/api/pandas.tseries.offsets.CustomBusinessHour.is_month_start.rst", "reference/api/pandas.tseries.offsets.CustomBusinessHour.is_on_offset.rst", "reference/api/pandas.tseries.offsets.CustomBusinessHour.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.CustomBusinessHour.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.CustomBusinessHour.is_year_end.rst", "reference/api/pandas.tseries.offsets.CustomBusinessHour.is_year_start.rst", "reference/api/pandas.tseries.offsets.CustomBusinessHour.kwds.rst", "reference/api/pandas.tseries.offsets.CustomBusinessHour.n.rst", "reference/api/pandas.tseries.offsets.CustomBusinessHour.name.rst", "reference/api/pandas.tseries.offsets.CustomBusinessHour.nanos.rst", "reference/api/pandas.tseries.offsets.CustomBusinessHour.normalize.rst", "reference/api/pandas.tseries.offsets.CustomBusinessHour.rule_code.rst", "reference/api/pandas.tseries.offsets.CustomBusinessHour.start.rst", "reference/api/pandas.tseries.offsets.CustomBusinessHour.weekmask.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.calendar.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.copy.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.freqstr.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.holidays.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.is_anchored.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.is_month_end.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.is_month_start.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.is_on_offset.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.is_year_end.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.is_year_start.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.kwds.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.m_offset.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.n.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.name.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.nanos.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.normalize.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.rule_code.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthBegin.weekmask.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.calendar.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.copy.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.freqstr.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.holidays.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.is_anchored.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.is_month_end.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.is_month_start.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.is_on_offset.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.is_year_end.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.is_year_start.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.kwds.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.m_offset.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.n.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.name.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.nanos.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.normalize.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.rule_code.rst", "reference/api/pandas.tseries.offsets.CustomBusinessMonthEnd.weekmask.rst", "reference/api/pandas.tseries.offsets.DateOffset.rst", "reference/api/pandas.tseries.offsets.DateOffset.copy.rst", "reference/api/pandas.tseries.offsets.DateOffset.freqstr.rst", "reference/api/pandas.tseries.offsets.DateOffset.is_anchored.rst", "reference/api/pandas.tseries.offsets.DateOffset.is_month_end.rst", "reference/api/pandas.tseries.offsets.DateOffset.is_month_start.rst", "reference/api/pandas.tseries.offsets.DateOffset.is_on_offset.rst", "reference/api/pandas.tseries.offsets.DateOffset.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.DateOffset.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.DateOffset.is_year_end.rst", "reference/api/pandas.tseries.offsets.DateOffset.is_year_start.rst", "reference/api/pandas.tseries.offsets.DateOffset.kwds.rst", "reference/api/pandas.tseries.offsets.DateOffset.n.rst", "reference/api/pandas.tseries.offsets.DateOffset.name.rst", "reference/api/pandas.tseries.offsets.DateOffset.nanos.rst", "reference/api/pandas.tseries.offsets.DateOffset.normalize.rst", "reference/api/pandas.tseries.offsets.DateOffset.rule_code.rst", "reference/api/pandas.tseries.offsets.Day.rst", "reference/api/pandas.tseries.offsets.Day.copy.rst", "reference/api/pandas.tseries.offsets.Day.delta.rst", "reference/api/pandas.tseries.offsets.Day.freqstr.rst", "reference/api/pandas.tseries.offsets.Day.is_anchored.rst", "reference/api/pandas.tseries.offsets.Day.is_month_end.rst", "reference/api/pandas.tseries.offsets.Day.is_month_start.rst", "reference/api/pandas.tseries.offsets.Day.is_on_offset.rst", "reference/api/pandas.tseries.offsets.Day.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.Day.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.Day.is_year_end.rst", "reference/api/pandas.tseries.offsets.Day.is_year_start.rst", "reference/api/pandas.tseries.offsets.Day.kwds.rst", "reference/api/pandas.tseries.offsets.Day.n.rst", "reference/api/pandas.tseries.offsets.Day.name.rst", "reference/api/pandas.tseries.offsets.Day.nanos.rst", "reference/api/pandas.tseries.offsets.Day.normalize.rst", "reference/api/pandas.tseries.offsets.Day.rule_code.rst", "reference/api/pandas.tseries.offsets.Easter.rst", "reference/api/pandas.tseries.offsets.Easter.copy.rst", "reference/api/pandas.tseries.offsets.Easter.freqstr.rst", "reference/api/pandas.tseries.offsets.Easter.is_anchored.rst", "reference/api/pandas.tseries.offsets.Easter.is_month_end.rst", "reference/api/pandas.tseries.offsets.Easter.is_month_start.rst", "reference/api/pandas.tseries.offsets.Easter.is_on_offset.rst", "reference/api/pandas.tseries.offsets.Easter.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.Easter.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.Easter.is_year_end.rst", "reference/api/pandas.tseries.offsets.Easter.is_year_start.rst", "reference/api/pandas.tseries.offsets.Easter.kwds.rst", "reference/api/pandas.tseries.offsets.Easter.n.rst", "reference/api/pandas.tseries.offsets.Easter.name.rst", "reference/api/pandas.tseries.offsets.Easter.nanos.rst", "reference/api/pandas.tseries.offsets.Easter.normalize.rst", "reference/api/pandas.tseries.offsets.Easter.rule_code.rst", "reference/api/pandas.tseries.offsets.FY5253.rst", "reference/api/pandas.tseries.offsets.FY5253.copy.rst", "reference/api/pandas.tseries.offsets.FY5253.freqstr.rst", "reference/api/pandas.tseries.offsets.FY5253.get_rule_code_suffix.rst", "reference/api/pandas.tseries.offsets.FY5253.get_year_end.rst", "reference/api/pandas.tseries.offsets.FY5253.is_anchored.rst", "reference/api/pandas.tseries.offsets.FY5253.is_month_end.rst", "reference/api/pandas.tseries.offsets.FY5253.is_month_start.rst", "reference/api/pandas.tseries.offsets.FY5253.is_on_offset.rst", "reference/api/pandas.tseries.offsets.FY5253.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.FY5253.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.FY5253.is_year_end.rst", "reference/api/pandas.tseries.offsets.FY5253.is_year_start.rst", "reference/api/pandas.tseries.offsets.FY5253.kwds.rst", "reference/api/pandas.tseries.offsets.FY5253.n.rst", "reference/api/pandas.tseries.offsets.FY5253.name.rst", "reference/api/pandas.tseries.offsets.FY5253.nanos.rst", "reference/api/pandas.tseries.offsets.FY5253.normalize.rst", "reference/api/pandas.tseries.offsets.FY5253.rule_code.rst", "reference/api/pandas.tseries.offsets.FY5253.startingMonth.rst", "reference/api/pandas.tseries.offsets.FY5253.variation.rst", "reference/api/pandas.tseries.offsets.FY5253.weekday.rst", "reference/api/pandas.tseries.offsets.FY5253Quarter.rst", "reference/api/pandas.tseries.offsets.FY5253Quarter.copy.rst", "reference/api/pandas.tseries.offsets.FY5253Quarter.freqstr.rst", "reference/api/pandas.tseries.offsets.FY5253Quarter.get_rule_code_suffix.rst", "reference/api/pandas.tseries.offsets.FY5253Quarter.get_weeks.rst", "reference/api/pandas.tseries.offsets.FY5253Quarter.is_anchored.rst", "reference/api/pandas.tseries.offsets.FY5253Quarter.is_month_end.rst", "reference/api/pandas.tseries.offsets.FY5253Quarter.is_month_start.rst", "reference/api/pandas.tseries.offsets.FY5253Quarter.is_on_offset.rst", "reference/api/pandas.tseries.offsets.FY5253Quarter.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.FY5253Quarter.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.FY5253Quarter.is_year_end.rst", "reference/api/pandas.tseries.offsets.FY5253Quarter.is_year_start.rst", "reference/api/pandas.tseries.offsets.FY5253Quarter.kwds.rst", "reference/api/pandas.tseries.offsets.FY5253Quarter.n.rst", "reference/api/pandas.tseries.offsets.FY5253Quarter.name.rst", "reference/api/pandas.tseries.offsets.FY5253Quarter.nanos.rst", "reference/api/pandas.tseries.offsets.FY5253Quarter.normalize.rst", "reference/api/pandas.tseries.offsets.FY5253Quarter.qtr_with_extra_week.rst", "reference/api/pandas.tseries.offsets.FY5253Quarter.rule_code.rst", "reference/api/pandas.tseries.offsets.FY5253Quarter.startingMonth.rst", "reference/api/pandas.tseries.offsets.FY5253Quarter.variation.rst", "reference/api/pandas.tseries.offsets.FY5253Quarter.weekday.rst", "reference/api/pandas.tseries.offsets.FY5253Quarter.year_has_extra_week.rst", "reference/api/pandas.tseries.offsets.Hour.rst", "reference/api/pandas.tseries.offsets.Hour.copy.rst", "reference/api/pandas.tseries.offsets.Hour.delta.rst", "reference/api/pandas.tseries.offsets.Hour.freqstr.rst", "reference/api/pandas.tseries.offsets.Hour.is_anchored.rst", "reference/api/pandas.tseries.offsets.Hour.is_month_end.rst", "reference/api/pandas.tseries.offsets.Hour.is_month_start.rst", "reference/api/pandas.tseries.offsets.Hour.is_on_offset.rst", "reference/api/pandas.tseries.offsets.Hour.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.Hour.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.Hour.is_year_end.rst", "reference/api/pandas.tseries.offsets.Hour.is_year_start.rst", "reference/api/pandas.tseries.offsets.Hour.kwds.rst", "reference/api/pandas.tseries.offsets.Hour.n.rst", "reference/api/pandas.tseries.offsets.Hour.name.rst", "reference/api/pandas.tseries.offsets.Hour.nanos.rst", "reference/api/pandas.tseries.offsets.Hour.normalize.rst", "reference/api/pandas.tseries.offsets.Hour.rule_code.rst", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.rst", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.copy.rst", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.freqstr.rst", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.is_anchored.rst", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.is_month_end.rst", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.is_month_start.rst", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.is_on_offset.rst", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.is_year_end.rst", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.is_year_start.rst", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.kwds.rst", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.n.rst", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.name.rst", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.nanos.rst", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.normalize.rst", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.rule_code.rst", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.week.rst", "reference/api/pandas.tseries.offsets.LastWeekOfMonth.weekday.rst", "reference/api/pandas.tseries.offsets.Micro.rst", "reference/api/pandas.tseries.offsets.Micro.copy.rst", "reference/api/pandas.tseries.offsets.Micro.delta.rst", "reference/api/pandas.tseries.offsets.Micro.freqstr.rst", "reference/api/pandas.tseries.offsets.Micro.is_anchored.rst", "reference/api/pandas.tseries.offsets.Micro.is_month_end.rst", "reference/api/pandas.tseries.offsets.Micro.is_month_start.rst", "reference/api/pandas.tseries.offsets.Micro.is_on_offset.rst", "reference/api/pandas.tseries.offsets.Micro.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.Micro.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.Micro.is_year_end.rst", "reference/api/pandas.tseries.offsets.Micro.is_year_start.rst", "reference/api/pandas.tseries.offsets.Micro.kwds.rst", "reference/api/pandas.tseries.offsets.Micro.n.rst", "reference/api/pandas.tseries.offsets.Micro.name.rst", "reference/api/pandas.tseries.offsets.Micro.nanos.rst", "reference/api/pandas.tseries.offsets.Micro.normalize.rst", "reference/api/pandas.tseries.offsets.Micro.rule_code.rst", "reference/api/pandas.tseries.offsets.Milli.rst", "reference/api/pandas.tseries.offsets.Milli.copy.rst", "reference/api/pandas.tseries.offsets.Milli.delta.rst", "reference/api/pandas.tseries.offsets.Milli.freqstr.rst", "reference/api/pandas.tseries.offsets.Milli.is_anchored.rst", "reference/api/pandas.tseries.offsets.Milli.is_month_end.rst", "reference/api/pandas.tseries.offsets.Milli.is_month_start.rst", "reference/api/pandas.tseries.offsets.Milli.is_on_offset.rst", "reference/api/pandas.tseries.offsets.Milli.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.Milli.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.Milli.is_year_end.rst", "reference/api/pandas.tseries.offsets.Milli.is_year_start.rst", "reference/api/pandas.tseries.offsets.Milli.kwds.rst", "reference/api/pandas.tseries.offsets.Milli.n.rst", "reference/api/pandas.tseries.offsets.Milli.name.rst", "reference/api/pandas.tseries.offsets.Milli.nanos.rst", "reference/api/pandas.tseries.offsets.Milli.normalize.rst", "reference/api/pandas.tseries.offsets.Milli.rule_code.rst", "reference/api/pandas.tseries.offsets.Minute.rst", "reference/api/pandas.tseries.offsets.Minute.copy.rst", "reference/api/pandas.tseries.offsets.Minute.delta.rst", "reference/api/pandas.tseries.offsets.Minute.freqstr.rst", "reference/api/pandas.tseries.offsets.Minute.is_anchored.rst", "reference/api/pandas.tseries.offsets.Minute.is_month_end.rst", "reference/api/pandas.tseries.offsets.Minute.is_month_start.rst", "reference/api/pandas.tseries.offsets.Minute.is_on_offset.rst", "reference/api/pandas.tseries.offsets.Minute.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.Minute.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.Minute.is_year_end.rst", "reference/api/pandas.tseries.offsets.Minute.is_year_start.rst", "reference/api/pandas.tseries.offsets.Minute.kwds.rst", "reference/api/pandas.tseries.offsets.Minute.n.rst", "reference/api/pandas.tseries.offsets.Minute.name.rst", "reference/api/pandas.tseries.offsets.Minute.nanos.rst", "reference/api/pandas.tseries.offsets.Minute.normalize.rst", "reference/api/pandas.tseries.offsets.Minute.rule_code.rst", "reference/api/pandas.tseries.offsets.MonthBegin.rst", "reference/api/pandas.tseries.offsets.MonthBegin.copy.rst", "reference/api/pandas.tseries.offsets.MonthBegin.freqstr.rst", "reference/api/pandas.tseries.offsets.MonthBegin.is_anchored.rst", "reference/api/pandas.tseries.offsets.MonthBegin.is_month_end.rst", "reference/api/pandas.tseries.offsets.MonthBegin.is_month_start.rst", "reference/api/pandas.tseries.offsets.MonthBegin.is_on_offset.rst", "reference/api/pandas.tseries.offsets.MonthBegin.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.MonthBegin.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.MonthBegin.is_year_end.rst", "reference/api/pandas.tseries.offsets.MonthBegin.is_year_start.rst", "reference/api/pandas.tseries.offsets.MonthBegin.kwds.rst", "reference/api/pandas.tseries.offsets.MonthBegin.n.rst", "reference/api/pandas.tseries.offsets.MonthBegin.name.rst", "reference/api/pandas.tseries.offsets.MonthBegin.nanos.rst", "reference/api/pandas.tseries.offsets.MonthBegin.normalize.rst", "reference/api/pandas.tseries.offsets.MonthBegin.rule_code.rst", "reference/api/pandas.tseries.offsets.MonthEnd.rst", "reference/api/pandas.tseries.offsets.MonthEnd.copy.rst", "reference/api/pandas.tseries.offsets.MonthEnd.freqstr.rst", "reference/api/pandas.tseries.offsets.MonthEnd.is_anchored.rst", "reference/api/pandas.tseries.offsets.MonthEnd.is_month_end.rst", "reference/api/pandas.tseries.offsets.MonthEnd.is_month_start.rst", "reference/api/pandas.tseries.offsets.MonthEnd.is_on_offset.rst", "reference/api/pandas.tseries.offsets.MonthEnd.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.MonthEnd.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.MonthEnd.is_year_end.rst", "reference/api/pandas.tseries.offsets.MonthEnd.is_year_start.rst", "reference/api/pandas.tseries.offsets.MonthEnd.kwds.rst", "reference/api/pandas.tseries.offsets.MonthEnd.n.rst", "reference/api/pandas.tseries.offsets.MonthEnd.name.rst", "reference/api/pandas.tseries.offsets.MonthEnd.nanos.rst", "reference/api/pandas.tseries.offsets.MonthEnd.normalize.rst", "reference/api/pandas.tseries.offsets.MonthEnd.rule_code.rst", "reference/api/pandas.tseries.offsets.Nano.rst", "reference/api/pandas.tseries.offsets.Nano.copy.rst", "reference/api/pandas.tseries.offsets.Nano.delta.rst", "reference/api/pandas.tseries.offsets.Nano.freqstr.rst", "reference/api/pandas.tseries.offsets.Nano.is_anchored.rst", "reference/api/pandas.tseries.offsets.Nano.is_month_end.rst", "reference/api/pandas.tseries.offsets.Nano.is_month_start.rst", "reference/api/pandas.tseries.offsets.Nano.is_on_offset.rst", "reference/api/pandas.tseries.offsets.Nano.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.Nano.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.Nano.is_year_end.rst", "reference/api/pandas.tseries.offsets.Nano.is_year_start.rst", "reference/api/pandas.tseries.offsets.Nano.kwds.rst", "reference/api/pandas.tseries.offsets.Nano.n.rst", "reference/api/pandas.tseries.offsets.Nano.name.rst", "reference/api/pandas.tseries.offsets.Nano.nanos.rst", "reference/api/pandas.tseries.offsets.Nano.normalize.rst", "reference/api/pandas.tseries.offsets.Nano.rule_code.rst", "reference/api/pandas.tseries.offsets.QuarterBegin.rst", "reference/api/pandas.tseries.offsets.QuarterBegin.copy.rst", "reference/api/pandas.tseries.offsets.QuarterBegin.freqstr.rst", "reference/api/pandas.tseries.offsets.QuarterBegin.is_anchored.rst", "reference/api/pandas.tseries.offsets.QuarterBegin.is_month_end.rst", "reference/api/pandas.tseries.offsets.QuarterBegin.is_month_start.rst", "reference/api/pandas.tseries.offsets.QuarterBegin.is_on_offset.rst", "reference/api/pandas.tseries.offsets.QuarterBegin.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.QuarterBegin.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.QuarterBegin.is_year_end.rst", "reference/api/pandas.tseries.offsets.QuarterBegin.is_year_start.rst", "reference/api/pandas.tseries.offsets.QuarterBegin.kwds.rst", "reference/api/pandas.tseries.offsets.QuarterBegin.n.rst", "reference/api/pandas.tseries.offsets.QuarterBegin.name.rst", "reference/api/pandas.tseries.offsets.QuarterBegin.nanos.rst", "reference/api/pandas.tseries.offsets.QuarterBegin.normalize.rst", "reference/api/pandas.tseries.offsets.QuarterBegin.rule_code.rst", "reference/api/pandas.tseries.offsets.QuarterBegin.startingMonth.rst", "reference/api/pandas.tseries.offsets.QuarterEnd.rst", "reference/api/pandas.tseries.offsets.QuarterEnd.copy.rst", "reference/api/pandas.tseries.offsets.QuarterEnd.freqstr.rst", "reference/api/pandas.tseries.offsets.QuarterEnd.is_anchored.rst", "reference/api/pandas.tseries.offsets.QuarterEnd.is_month_end.rst", "reference/api/pandas.tseries.offsets.QuarterEnd.is_month_start.rst", "reference/api/pandas.tseries.offsets.QuarterEnd.is_on_offset.rst", "reference/api/pandas.tseries.offsets.QuarterEnd.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.QuarterEnd.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.QuarterEnd.is_year_end.rst", "reference/api/pandas.tseries.offsets.QuarterEnd.is_year_start.rst", "reference/api/pandas.tseries.offsets.QuarterEnd.kwds.rst", "reference/api/pandas.tseries.offsets.QuarterEnd.n.rst", "reference/api/pandas.tseries.offsets.QuarterEnd.name.rst", "reference/api/pandas.tseries.offsets.QuarterEnd.nanos.rst", "reference/api/pandas.tseries.offsets.QuarterEnd.normalize.rst", "reference/api/pandas.tseries.offsets.QuarterEnd.rule_code.rst", "reference/api/pandas.tseries.offsets.QuarterEnd.startingMonth.rst", "reference/api/pandas.tseries.offsets.Second.rst", "reference/api/pandas.tseries.offsets.Second.copy.rst", "reference/api/pandas.tseries.offsets.Second.delta.rst", "reference/api/pandas.tseries.offsets.Second.freqstr.rst", "reference/api/pandas.tseries.offsets.Second.is_anchored.rst", "reference/api/pandas.tseries.offsets.Second.is_month_end.rst", "reference/api/pandas.tseries.offsets.Second.is_month_start.rst", "reference/api/pandas.tseries.offsets.Second.is_on_offset.rst", "reference/api/pandas.tseries.offsets.Second.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.Second.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.Second.is_year_end.rst", "reference/api/pandas.tseries.offsets.Second.is_year_start.rst", "reference/api/pandas.tseries.offsets.Second.kwds.rst", "reference/api/pandas.tseries.offsets.Second.n.rst", "reference/api/pandas.tseries.offsets.Second.name.rst", "reference/api/pandas.tseries.offsets.Second.nanos.rst", "reference/api/pandas.tseries.offsets.Second.normalize.rst", "reference/api/pandas.tseries.offsets.Second.rule_code.rst", "reference/api/pandas.tseries.offsets.SemiMonthBegin.rst", "reference/api/pandas.tseries.offsets.SemiMonthBegin.copy.rst", "reference/api/pandas.tseries.offsets.SemiMonthBegin.day_of_month.rst", "reference/api/pandas.tseries.offsets.SemiMonthBegin.freqstr.rst", "reference/api/pandas.tseries.offsets.SemiMonthBegin.is_anchored.rst", "reference/api/pandas.tseries.offsets.SemiMonthBegin.is_month_end.rst", "reference/api/pandas.tseries.offsets.SemiMonthBegin.is_month_start.rst", "reference/api/pandas.tseries.offsets.SemiMonthBegin.is_on_offset.rst", "reference/api/pandas.tseries.offsets.SemiMonthBegin.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.SemiMonthBegin.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.SemiMonthBegin.is_year_end.rst", "reference/api/pandas.tseries.offsets.SemiMonthBegin.is_year_start.rst", "reference/api/pandas.tseries.offsets.SemiMonthBegin.kwds.rst", "reference/api/pandas.tseries.offsets.SemiMonthBegin.n.rst", "reference/api/pandas.tseries.offsets.SemiMonthBegin.name.rst", "reference/api/pandas.tseries.offsets.SemiMonthBegin.nanos.rst", "reference/api/pandas.tseries.offsets.SemiMonthBegin.normalize.rst", "reference/api/pandas.tseries.offsets.SemiMonthBegin.rule_code.rst", "reference/api/pandas.tseries.offsets.SemiMonthEnd.rst", "reference/api/pandas.tseries.offsets.SemiMonthEnd.copy.rst", "reference/api/pandas.tseries.offsets.SemiMonthEnd.day_of_month.rst", "reference/api/pandas.tseries.offsets.SemiMonthEnd.freqstr.rst", "reference/api/pandas.tseries.offsets.SemiMonthEnd.is_anchored.rst", "reference/api/pandas.tseries.offsets.SemiMonthEnd.is_month_end.rst", "reference/api/pandas.tseries.offsets.SemiMonthEnd.is_month_start.rst", "reference/api/pandas.tseries.offsets.SemiMonthEnd.is_on_offset.rst", "reference/api/pandas.tseries.offsets.SemiMonthEnd.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.SemiMonthEnd.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.SemiMonthEnd.is_year_end.rst", "reference/api/pandas.tseries.offsets.SemiMonthEnd.is_year_start.rst", "reference/api/pandas.tseries.offsets.SemiMonthEnd.kwds.rst", "reference/api/pandas.tseries.offsets.SemiMonthEnd.n.rst", "reference/api/pandas.tseries.offsets.SemiMonthEnd.name.rst", "reference/api/pandas.tseries.offsets.SemiMonthEnd.nanos.rst", "reference/api/pandas.tseries.offsets.SemiMonthEnd.normalize.rst", "reference/api/pandas.tseries.offsets.SemiMonthEnd.rule_code.rst", "reference/api/pandas.tseries.offsets.Tick.rst", "reference/api/pandas.tseries.offsets.Tick.copy.rst", "reference/api/pandas.tseries.offsets.Tick.delta.rst", "reference/api/pandas.tseries.offsets.Tick.freqstr.rst", "reference/api/pandas.tseries.offsets.Tick.is_anchored.rst", "reference/api/pandas.tseries.offsets.Tick.is_month_end.rst", "reference/api/pandas.tseries.offsets.Tick.is_month_start.rst", "reference/api/pandas.tseries.offsets.Tick.is_on_offset.rst", "reference/api/pandas.tseries.offsets.Tick.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.Tick.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.Tick.is_year_end.rst", "reference/api/pandas.tseries.offsets.Tick.is_year_start.rst", "reference/api/pandas.tseries.offsets.Tick.kwds.rst", "reference/api/pandas.tseries.offsets.Tick.n.rst", "reference/api/pandas.tseries.offsets.Tick.name.rst", "reference/api/pandas.tseries.offsets.Tick.nanos.rst", "reference/api/pandas.tseries.offsets.Tick.normalize.rst", "reference/api/pandas.tseries.offsets.Tick.rule_code.rst", "reference/api/pandas.tseries.offsets.Week.rst", "reference/api/pandas.tseries.offsets.Week.copy.rst", "reference/api/pandas.tseries.offsets.Week.freqstr.rst", "reference/api/pandas.tseries.offsets.Week.is_anchored.rst", "reference/api/pandas.tseries.offsets.Week.is_month_end.rst", "reference/api/pandas.tseries.offsets.Week.is_month_start.rst", "reference/api/pandas.tseries.offsets.Week.is_on_offset.rst", "reference/api/pandas.tseries.offsets.Week.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.Week.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.Week.is_year_end.rst", "reference/api/pandas.tseries.offsets.Week.is_year_start.rst", "reference/api/pandas.tseries.offsets.Week.kwds.rst", "reference/api/pandas.tseries.offsets.Week.n.rst", "reference/api/pandas.tseries.offsets.Week.name.rst", "reference/api/pandas.tseries.offsets.Week.nanos.rst", "reference/api/pandas.tseries.offsets.Week.normalize.rst", "reference/api/pandas.tseries.offsets.Week.rule_code.rst", "reference/api/pandas.tseries.offsets.Week.weekday.rst", "reference/api/pandas.tseries.offsets.WeekOfMonth.rst", "reference/api/pandas.tseries.offsets.WeekOfMonth.copy.rst", "reference/api/pandas.tseries.offsets.WeekOfMonth.freqstr.rst", "reference/api/pandas.tseries.offsets.WeekOfMonth.is_anchored.rst", "reference/api/pandas.tseries.offsets.WeekOfMonth.is_month_end.rst", "reference/api/pandas.tseries.offsets.WeekOfMonth.is_month_start.rst", "reference/api/pandas.tseries.offsets.WeekOfMonth.is_on_offset.rst", "reference/api/pandas.tseries.offsets.WeekOfMonth.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.WeekOfMonth.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.WeekOfMonth.is_year_end.rst", "reference/api/pandas.tseries.offsets.WeekOfMonth.is_year_start.rst", "reference/api/pandas.tseries.offsets.WeekOfMonth.kwds.rst", "reference/api/pandas.tseries.offsets.WeekOfMonth.n.rst", "reference/api/pandas.tseries.offsets.WeekOfMonth.name.rst", "reference/api/pandas.tseries.offsets.WeekOfMonth.nanos.rst", "reference/api/pandas.tseries.offsets.WeekOfMonth.normalize.rst", "reference/api/pandas.tseries.offsets.WeekOfMonth.rule_code.rst", "reference/api/pandas.tseries.offsets.WeekOfMonth.week.rst", "reference/api/pandas.tseries.offsets.WeekOfMonth.weekday.rst", "reference/api/pandas.tseries.offsets.YearBegin.rst", "reference/api/pandas.tseries.offsets.YearBegin.copy.rst", "reference/api/pandas.tseries.offsets.YearBegin.freqstr.rst", "reference/api/pandas.tseries.offsets.YearBegin.is_anchored.rst", "reference/api/pandas.tseries.offsets.YearBegin.is_month_end.rst", "reference/api/pandas.tseries.offsets.YearBegin.is_month_start.rst", "reference/api/pandas.tseries.offsets.YearBegin.is_on_offset.rst", "reference/api/pandas.tseries.offsets.YearBegin.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.YearBegin.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.YearBegin.is_year_end.rst", "reference/api/pandas.tseries.offsets.YearBegin.is_year_start.rst", "reference/api/pandas.tseries.offsets.YearBegin.kwds.rst", "reference/api/pandas.tseries.offsets.YearBegin.month.rst", "reference/api/pandas.tseries.offsets.YearBegin.n.rst", "reference/api/pandas.tseries.offsets.YearBegin.name.rst", "reference/api/pandas.tseries.offsets.YearBegin.nanos.rst", "reference/api/pandas.tseries.offsets.YearBegin.normalize.rst", "reference/api/pandas.tseries.offsets.YearBegin.rule_code.rst", "reference/api/pandas.tseries.offsets.YearEnd.rst", "reference/api/pandas.tseries.offsets.YearEnd.copy.rst", "reference/api/pandas.tseries.offsets.YearEnd.freqstr.rst", "reference/api/pandas.tseries.offsets.YearEnd.is_anchored.rst", "reference/api/pandas.tseries.offsets.YearEnd.is_month_end.rst", "reference/api/pandas.tseries.offsets.YearEnd.is_month_start.rst", "reference/api/pandas.tseries.offsets.YearEnd.is_on_offset.rst", "reference/api/pandas.tseries.offsets.YearEnd.is_quarter_end.rst", "reference/api/pandas.tseries.offsets.YearEnd.is_quarter_start.rst", "reference/api/pandas.tseries.offsets.YearEnd.is_year_end.rst", "reference/api/pandas.tseries.offsets.YearEnd.is_year_start.rst", "reference/api/pandas.tseries.offsets.YearEnd.kwds.rst", "reference/api/pandas.tseries.offsets.YearEnd.month.rst", "reference/api/pandas.tseries.offsets.YearEnd.n.rst", "reference/api/pandas.tseries.offsets.YearEnd.name.rst", "reference/api/pandas.tseries.offsets.YearEnd.nanos.rst", "reference/api/pandas.tseries.offsets.YearEnd.normalize.rst", "reference/api/pandas.tseries.offsets.YearEnd.rule_code.rst", "reference/api/pandas.unique.rst", "reference/api/pandas.util.hash_array.rst", "reference/api/pandas.util.hash_pandas_object.rst", "reference/api/pandas.wide_to_long.rst", "reference/arrays.rst", "reference/extensions.rst", "reference/frame.rst", "reference/general_functions.rst", "reference/groupby.rst", "reference/index.rst", "reference/indexing.rst", "reference/io.rst", "reference/missing_value.rst", "reference/offset_frequency.rst", "reference/options.rst", "reference/plotting.rst", "reference/resampling.rst", "reference/series.rst", "reference/style.rst", "reference/testing.rst", "reference/window.rst", "user_guide/10min.rst", "user_guide/advanced.rst", "user_guide/basics.rst", "user_guide/boolean.rst", "user_guide/categorical.rst", "user_guide/cookbook.rst", "user_guide/copy_on_write.rst", "user_guide/dsintro.rst", "user_guide/duplicates.rst", "user_guide/enhancingperf.rst", "user_guide/gotchas.rst", "user_guide/groupby.rst", "user_guide/index.rst", "user_guide/indexing.rst", "user_guide/integer_na.rst", "user_guide/io.rst", "user_guide/merging.rst", "user_guide/missing_data.rst", "user_guide/options.rst", "user_guide/pyarrow.rst", "user_guide/reshaping.rst", "user_guide/scale.rst", "user_guide/sparse.rst", "user_guide/style.ipynb", "user_guide/text.rst", "user_guide/timedeltas.rst", "user_guide/timeseries.rst", "user_guide/visualization.rst", "user_guide/window.rst", "whatsnew/index.rst", "whatsnew/v0.10.0.rst", "whatsnew/v0.10.1.rst", "whatsnew/v0.11.0.rst", "whatsnew/v0.12.0.rst", "whatsnew/v0.13.0.rst", "whatsnew/v0.13.1.rst", "whatsnew/v0.14.0.rst", "whatsnew/v0.14.1.rst", "whatsnew/v0.15.0.rst", "whatsnew/v0.15.1.rst", "whatsnew/v0.15.2.rst", "whatsnew/v0.16.0.rst", "whatsnew/v0.16.1.rst", "whatsnew/v0.16.2.rst", "whatsnew/v0.17.0.rst", "whatsnew/v0.17.1.rst", "whatsnew/v0.18.0.rst", "whatsnew/v0.18.1.rst", "whatsnew/v0.19.0.rst", "whatsnew/v0.19.1.rst", "whatsnew/v0.19.2.rst", "whatsnew/v0.20.0.rst", "whatsnew/v0.20.2.rst", "whatsnew/v0.20.3.rst", "whatsnew/v0.21.0.rst", "whatsnew/v0.21.1.rst", "whatsnew/v0.22.0.rst", "whatsnew/v0.23.0.rst", "whatsnew/v0.23.1.rst", "whatsnew/v0.23.2.rst", "whatsnew/v0.23.3.rst", "whatsnew/v0.23.4.rst", "whatsnew/v0.24.0.rst", "whatsnew/v0.24.1.rst", "whatsnew/v0.24.2.rst", "whatsnew/v0.25.0.rst", "whatsnew/v0.25.1.rst", "whatsnew/v0.25.2.rst", "whatsnew/v0.25.3.rst", "whatsnew/v0.4.x.rst", "whatsnew/v0.5.0.rst", "whatsnew/v0.6.0.rst", "whatsnew/v0.6.1.rst", "whatsnew/v0.7.0.rst", "whatsnew/v0.7.1.rst", "whatsnew/v0.7.2.rst", "whatsnew/v0.7.3.rst", "whatsnew/v0.8.0.rst", "whatsnew/v0.8.1.rst", "whatsnew/v0.9.0.rst", "whatsnew/v0.9.1.rst", "whatsnew/v1.0.0.rst", "whatsnew/v1.0.1.rst", "whatsnew/v1.0.2.rst", "whatsnew/v1.0.3.rst", "whatsnew/v1.0.4.rst", "whatsnew/v1.0.5.rst", "whatsnew/v1.1.0.rst", "whatsnew/v1.1.1.rst", "whatsnew/v1.1.2.rst", "whatsnew/v1.1.3.rst", "whatsnew/v1.1.4.rst", "whatsnew/v1.1.5.rst", "whatsnew/v1.2.0.rst", "whatsnew/v1.2.1.rst", "whatsnew/v1.2.2.rst", "whatsnew/v1.2.3.rst", "whatsnew/v1.2.4.rst", "whatsnew/v1.2.5.rst", "whatsnew/v1.3.0.rst", "whatsnew/v1.3.1.rst", "whatsnew/v1.3.2.rst", "whatsnew/v1.3.3.rst", "whatsnew/v1.3.4.rst", "whatsnew/v1.3.5.rst", "whatsnew/v1.4.0.rst", "whatsnew/v1.4.1.rst", "whatsnew/v1.4.2.rst", "whatsnew/v1.4.3.rst", "whatsnew/v1.4.4.rst", "whatsnew/v1.5.0.rst", "whatsnew/v1.5.1.rst", "whatsnew/v1.5.2.rst", "whatsnew/v1.5.3.rst", "whatsnew/v2.0.0.rst", "whatsnew/v2.0.1.rst", "whatsnew/v2.0.2.rst", "whatsnew/v2.0.3.rst", "whatsnew/v2.1.0.rst", "whatsnew/v2.1.1.rst", "whatsnew/v2.1.2.rst", "whatsnew/v2.1.3.rst", "whatsnew/v2.1.4.rst", "whatsnew/v2.2.0.rst", "whatsnew/v2.2.1.rst", "whatsnew/v2.2.2.rst", "whatsnew/v2.2.3.rst"], "indexentries": {"__add__() (pandas.dataframe method)": [[65, "pandas.DataFrame.__add__", false]], "__array__() (pandas.categorical method)": [[40, "pandas.Categorical.__array__", false]], "__array__() (pandas.series method)": [[575, "pandas.Series.__array__", false]], "__dataframe__() (pandas.dataframe method)": [[66, "pandas.DataFrame.__dataframe__", false]], "__getitem__() (pandas.series.list method)": [[735, "pandas.Series.list.__getitem__", false]], "__iter__() (pandas.core.groupby.dataframegroupby method)": [[1147, "pandas.core.groupby.DataFrameGroupBy.__iter__", false]], "__iter__() (pandas.core.groupby.seriesgroupby method)": [[1206, "pandas.core.groupby.SeriesGroupBy.__iter__", false]], "__iter__() (pandas.core.resample.resampler method)": [[1268, "pandas.core.resample.Resampler.__iter__", false]], "__iter__() (pandas.dataframe method)": [[67, "pandas.DataFrame.__iter__", false]], "__iter__() (pandas.series method)": [[576, "pandas.Series.__iter__", false]], "_accumulate() (pandas.api.extensions.extensionarray method)": [[1032, "pandas.api.extensions.ExtensionArray._accumulate", false]], "_concat_same_type() (pandas.api.extensions.extensionarray class method)": [[1033, "pandas.api.extensions.ExtensionArray._concat_same_type", false]], "_explode() (pandas.api.extensions.extensionarray method)": [[1034, "pandas.api.extensions.ExtensionArray._explode", false]], "_formatter() (pandas.api.extensions.extensionarray method)": [[1035, "pandas.api.extensions.ExtensionArray._formatter", false]], "_from_factorized() (pandas.api.extensions.extensionarray class method)": [[1036, "pandas.api.extensions.ExtensionArray._from_factorized", false]], "_from_sequence() (pandas.api.extensions.extensionarray class method)": [[1037, "pandas.api.extensions.ExtensionArray._from_sequence", false]], "_from_sequence_of_strings() (pandas.api.extensions.extensionarray class method)": [[1038, "pandas.api.extensions.ExtensionArray._from_sequence_of_strings", false]], "_hash_pandas_object() (pandas.api.extensions.extensionarray method)": [[1039, "pandas.api.extensions.ExtensionArray._hash_pandas_object", false]], "_pad_or_backfill() (pandas.api.extensions.extensionarray method)": [[1040, "pandas.api.extensions.ExtensionArray._pad_or_backfill", false]], "_reduce() (pandas.api.extensions.extensionarray method)": [[1041, "pandas.api.extensions.ExtensionArray._reduce", false]], "_values_for_argsort() (pandas.api.extensions.extensionarray method)": [[1042, "pandas.api.extensions.ExtensionArray._values_for_argsort", false]], "_values_for_factorize() (pandas.api.extensions.extensionarray method)": [[1043, "pandas.api.extensions.ExtensionArray._values_for_factorize", false]], "abs() (pandas.dataframe method)": [[68, "pandas.DataFrame.abs", false]], "abs() (pandas.series method)": [[577, "pandas.Series.abs", false]], "abstractmethoderror": [[1346, "pandas.errors.AbstractMethodError", false]], "add() (pandas.dataframe method)": [[69, "pandas.DataFrame.add", false]], "add() (pandas.series method)": [[578, "pandas.Series.add", false]], "add_categories() (pandas.categoricalindex method)": [[50, "pandas.CategoricalIndex.add_categories", false]], "add_categories() (pandas.series.cat method)": [[605, "pandas.Series.cat.add_categories", false]], "add_prefix() (pandas.dataframe method)": [[70, "pandas.DataFrame.add_prefix", false]], "add_prefix() (pandas.series method)": [[579, "pandas.Series.add_prefix", false]], "add_suffix() (pandas.dataframe method)": [[71, "pandas.DataFrame.add_suffix", false]], "add_suffix() (pandas.series method)": [[580, "pandas.Series.add_suffix", false]], "agg() (pandas.core.groupby.dataframegroupby method)": [[1148, "pandas.core.groupby.DataFrameGroupBy.agg", false]], "agg() (pandas.core.groupby.seriesgroupby method)": [[1207, "pandas.core.groupby.SeriesGroupBy.agg", false]], "agg() (pandas.dataframe method)": [[72, "pandas.DataFrame.agg", false]], "agg() (pandas.series method)": [[581, "pandas.Series.agg", false]], "aggregate() (pandas.core.groupby.dataframegroupby method)": [[1149, "pandas.core.groupby.DataFrameGroupBy.aggregate", false]], "aggregate() (pandas.core.groupby.seriesgroupby method)": [[1208, "pandas.core.groupby.SeriesGroupBy.aggregate", false]], "aggregate() (pandas.core.resample.resampler method)": [[1269, "pandas.core.resample.Resampler.aggregate", false]], "aggregate() (pandas.core.window.expanding.expanding method)": [[1304, "pandas.core.window.expanding.Expanding.aggregate", false]], "aggregate() (pandas.core.window.rolling.rolling method)": [[1321, "pandas.core.window.rolling.Rolling.aggregate", false]], "aggregate() (pandas.dataframe method)": [[73, "pandas.DataFrame.aggregate", false]], "aggregate() (pandas.series method)": [[582, "pandas.Series.aggregate", false]], "align() (pandas.dataframe method)": [[74, "pandas.DataFrame.align", false]], "align() (pandas.series method)": [[583, "pandas.Series.align", false]], "all() (pandas.core.groupby.dataframegroupby method)": [[1150, "pandas.core.groupby.DataFrameGroupBy.all", false]], "all() (pandas.core.groupby.seriesgroupby method)": [[1209, "pandas.core.groupby.SeriesGroupBy.all", false]], "all() (pandas.dataframe method)": [[75, "pandas.DataFrame.all", false]], "all() (pandas.index method)": [[356, "pandas.Index.all", false]], "all() (pandas.series method)": [[584, "pandas.Series.all", false]], "andrews_curves() (in module pandas.plotting)": [[1455, "pandas.plotting.andrews_curves", false]], "any() (pandas.core.groupby.dataframegroupby method)": [[1151, "pandas.core.groupby.DataFrameGroupBy.any", false]], "any() (pandas.core.groupby.seriesgroupby method)": [[1210, "pandas.core.groupby.SeriesGroupBy.any", false]], "any() (pandas.dataframe method)": [[76, "pandas.DataFrame.any", false]], "any() (pandas.index method)": [[357, "pandas.Index.any", false]], "any() (pandas.series method)": [[585, "pandas.Series.any", false]], "append() (pandas.hdfstore method)": [[346, "pandas.HDFStore.append", false]], "append() (pandas.index method)": [[358, "pandas.Index.append", false]], "append() (pandas.multiindex method)": [[479, "pandas.MultiIndex.append", false]], "apply() (pandas.core.groupby.dataframegroupby method)": [[1152, "pandas.core.groupby.DataFrameGroupBy.apply", false]], "apply() (pandas.core.groupby.seriesgroupby method)": [[1211, "pandas.core.groupby.SeriesGroupBy.apply", false]], "apply() (pandas.core.resample.resampler method)": [[1270, "pandas.core.resample.Resampler.apply", false]], "apply() (pandas.core.window.expanding.expanding method)": [[1305, "pandas.core.window.expanding.Expanding.apply", false]], "apply() (pandas.core.window.rolling.rolling method)": [[1322, "pandas.core.window.rolling.Rolling.apply", false]], "apply() (pandas.dataframe method)": [[77, "pandas.DataFrame.apply", false]], "apply() (pandas.io.formats.style.styler method)": [[1395, "pandas.io.formats.style.Styler.apply", false]], "apply() (pandas.series method)": [[586, "pandas.Series.apply", false]], "apply_index() (pandas.io.formats.style.styler method)": [[1396, "pandas.io.formats.style.Styler.apply_index", false]], "applymap() (pandas.dataframe method)": [[78, "pandas.DataFrame.applymap", false]], "area() (pandas.dataframe.plot method)": [[187, "pandas.DataFrame.plot.area", false]], "area() (pandas.series.plot method)": [[763, "pandas.Series.plot.area", false]], "argmax() (pandas.index method)": [[359, "pandas.Index.argmax", false]], "argmax() (pandas.series method)": [[587, "pandas.Series.argmax", false]], "argmin() (pandas.index method)": [[360, "pandas.Index.argmin", false]], "argmin() (pandas.series method)": [[588, "pandas.Series.argmin", false]], "argsort() (pandas.api.extensions.extensionarray method)": [[1044, "pandas.api.extensions.ExtensionArray.argsort", false]], "argsort() (pandas.index method)": [[361, "pandas.Index.argsort", false]], "argsort() (pandas.series method)": [[589, "pandas.Series.argsort", false]], "array (pandas.series property)": [[590, "pandas.Series.array", false]], "array() (in module pandas)": [[1118, "pandas.array", false]], "arrowdtype (class in pandas)": [[37, "pandas.ArrowDtype", false]], "arrowextensionarray (class in pandas.arrays)": [[1119, "pandas.arrays.ArrowExtensionArray", false]], "arrowstringarray (class in pandas.arrays)": [[1120, "pandas.arrays.ArrowStringArray", false]], "as_ordered() (pandas.categoricalindex method)": [[51, "pandas.CategoricalIndex.as_ordered", false]], "as_ordered() (pandas.series.cat method)": [[606, "pandas.Series.cat.as_ordered", false]], "as_unit() (pandas.datetimeindex method)": [[287, "pandas.DatetimeIndex.as_unit", false]], "as_unit() (pandas.series.dt method)": [[638, "pandas.Series.dt.as_unit", false]], "as_unit() (pandas.timedelta method)": [[917, "pandas.Timedelta.as_unit", false]], "as_unit() (pandas.timedeltaindex method)": [[939, "pandas.TimedeltaIndex.as_unit", false]], "as_unit() (pandas.timestamp method)": [[954, "pandas.Timestamp.as_unit", false]], "as_unordered() (pandas.categoricalindex method)": [[52, "pandas.CategoricalIndex.as_unordered", false]], "as_unordered() (pandas.series.cat method)": [[607, "pandas.Series.cat.as_unordered", false]], "asfreq() (pandas.core.resample.resampler method)": [[1271, "pandas.core.resample.Resampler.asfreq", false]], "asfreq() (pandas.dataframe method)": [[79, "pandas.DataFrame.asfreq", false]], "asfreq() (pandas.period method)": [[511, "pandas.Period.asfreq", false]], "asfreq() (pandas.periodindex method)": [[541, "pandas.PeriodIndex.asfreq", false]], "asfreq() (pandas.series method)": [[591, "pandas.Series.asfreq", false]], "asm8 (pandas.timedelta attribute)": [[918, "pandas.Timedelta.asm8", false]], "asm8 (pandas.timestamp attribute)": [[955, "pandas.Timestamp.asm8", false]], "asof() (pandas.dataframe method)": [[80, "pandas.DataFrame.asof", false]], "asof() (pandas.index method)": [[362, "pandas.Index.asof", false]], "asof() (pandas.series method)": [[592, "pandas.Series.asof", false]], "asof_locs() (pandas.index method)": [[363, "pandas.Index.asof_locs", false]], "assert_extension_array_equal() (in module pandas.testing)": [[1493, "pandas.testing.assert_extension_array_equal", false]], "assert_frame_equal() (in module pandas.testing)": [[1494, "pandas.testing.assert_frame_equal", false]], "assert_index_equal() (in module pandas.testing)": [[1495, "pandas.testing.assert_index_equal", false]], "assert_series_equal() (in module pandas.testing)": [[1496, "pandas.testing.assert_series_equal", false]], "assign() (pandas.dataframe method)": [[81, "pandas.DataFrame.assign", false]], "astimezone() (pandas.timestamp method)": [[956, "pandas.Timestamp.astimezone", false]], "astype() (pandas.api.extensions.extensionarray method)": [[1045, "pandas.api.extensions.ExtensionArray.astype", false]], "astype() (pandas.dataframe method)": [[82, "pandas.DataFrame.astype", false]], "astype() (pandas.index method)": [[364, "pandas.Index.astype", false]], "astype() (pandas.series method)": [[593, "pandas.Series.astype", false]], "at (pandas.dataframe property)": [[83, "pandas.DataFrame.at", false]], "at (pandas.series property)": [[594, "pandas.Series.at", false]], "at_time() (pandas.dataframe method)": [[84, "pandas.DataFrame.at_time", false]], "at_time() (pandas.series method)": [[595, "pandas.Series.at_time", false]], "attributeconflictwarning": [[1347, "pandas.errors.AttributeConflictWarning", false]], "attrs (pandas.dataframe property)": [[85, "pandas.DataFrame.attrs", false]], "attrs (pandas.series property)": [[596, "pandas.Series.attrs", false]], "autocorr() (pandas.series method)": [[597, "pandas.Series.autocorr", false]], "autocorrelation_plot() (in module pandas.plotting)": [[1456, "pandas.plotting.autocorrelation_plot", false]], "axes (pandas.dataframe property)": [[86, "pandas.DataFrame.axes", false]], "backfill() (pandas.dataframe method)": [[87, "pandas.DataFrame.backfill", false]], "backfill() (pandas.series method)": [[598, "pandas.Series.backfill", false]], "background_gradient() (pandas.io.formats.style.styler method)": [[1397, "pandas.io.formats.style.Styler.background_gradient", false]], "bar() (pandas.dataframe.plot method)": [[188, "pandas.DataFrame.plot.bar", false]], "bar() (pandas.io.formats.style.styler method)": [[1398, "pandas.io.formats.style.Styler.bar", false]], "bar() (pandas.series.plot method)": [[764, "pandas.Series.plot.bar", false]], "barh() (pandas.dataframe.plot method)": [[189, "pandas.DataFrame.plot.barh", false]], "barh() (pandas.series.plot method)": [[765, "pandas.Series.plot.barh", false]], "baseindexer (class in pandas.api.indexers)": [[1073, "pandas.api.indexers.BaseIndexer", false]], "bdate_range() (in module pandas)": [[1145, "pandas.bdate_range", false]], "bday (in module pandas.tseries.offsets)": [[1503, "pandas.tseries.offsets.BDay", false]], "between() (pandas.series method)": [[599, "pandas.Series.between", false]], "between_time() (pandas.dataframe method)": [[88, "pandas.DataFrame.between_time", false]], "between_time() (pandas.series method)": [[600, "pandas.Series.between_time", false]], "bfill() (pandas.core.groupby.dataframegroupby method)": [[1153, "pandas.core.groupby.DataFrameGroupBy.bfill", false]], "bfill() (pandas.core.groupby.seriesgroupby method)": [[1212, "pandas.core.groupby.SeriesGroupBy.bfill", false]], "bfill() (pandas.core.resample.resampler method)": [[1272, "pandas.core.resample.Resampler.bfill", false]], "bfill() (pandas.dataframe method)": [[89, "pandas.DataFrame.bfill", false]], "bfill() (pandas.series method)": [[601, "pandas.Series.bfill", false]], "bmonthbegin (in module pandas.tseries.offsets)": [[1504, "pandas.tseries.offsets.BMonthBegin", false]], "bmonthend (in module pandas.tseries.offsets)": [[1505, "pandas.tseries.offsets.BMonthEnd", false]], "book (pandas.excelfile property)": [[338, "pandas.ExcelFile.book", false]], "bool() (pandas.dataframe method)": [[90, "pandas.DataFrame.bool", false]], "bool() (pandas.series method)": [[602, "pandas.Series.bool", false]], "booleanarray (class in pandas.arrays)": [[1121, "pandas.arrays.BooleanArray", false]], "booleandtype (class in pandas)": [[38, "pandas.BooleanDtype", false]], "bootstrap_plot() (in module pandas.plotting)": [[1457, "pandas.plotting.bootstrap_plot", false]], "box() (pandas.dataframe.plot method)": [[190, "pandas.DataFrame.plot.box", false]], "box() (pandas.series.plot method)": [[766, "pandas.Series.plot.box", false]], "boxplot() (in module pandas.plotting)": [[1458, "pandas.plotting.boxplot", false]], "boxplot() (pandas.core.groupby.dataframegroupby method)": [[1154, "pandas.core.groupby.DataFrameGroupBy.boxplot", false]], "boxplot() (pandas.dataframe method)": [[91, "pandas.DataFrame.boxplot", false]], "bquarterbegin (class in pandas.tseries.offsets)": [[1506, "pandas.tseries.offsets.BQuarterBegin", false]], "bquarterend (class in pandas.tseries.offsets)": [[1524, "pandas.tseries.offsets.BQuarterEnd", false]], "build_table_schema() (in module pandas.io.json)": [[1436, "pandas.io.json.build_table_schema", false]], "businessday (class in pandas.tseries.offsets)": [[1578, "pandas.tseries.offsets.BusinessDay", false]], "businesshour (class in pandas.tseries.offsets)": [[1598, "pandas.tseries.offsets.BusinessHour", false]], "businessmonthbegin (class in pandas.tseries.offsets)": [[1620, "pandas.tseries.offsets.BusinessMonthBegin", false]], "businessmonthend (class in pandas.tseries.offsets)": [[1637, "pandas.tseries.offsets.BusinessMonthEnd", false]], "byearbegin (class in pandas.tseries.offsets)": [[1542, "pandas.tseries.offsets.BYearBegin", false]], "byearend (class in pandas.tseries.offsets)": [[1560, "pandas.tseries.offsets.BYearEnd", false]], "calendar (pandas.tseries.offsets.businessday attribute)": [[1579, "pandas.tseries.offsets.BusinessDay.calendar", false]], "calendar (pandas.tseries.offsets.businesshour attribute)": [[1599, "pandas.tseries.offsets.BusinessHour.calendar", false]], "calendar (pandas.tseries.offsets.custombusinessday attribute)": [[1658, "pandas.tseries.offsets.CustomBusinessDay.calendar", false]], "calendar (pandas.tseries.offsets.custombusinesshour attribute)": [[1678, "pandas.tseries.offsets.CustomBusinessHour.calendar", false]], "calendar (pandas.tseries.offsets.custombusinessmonthbegin attribute)": [[1700, "pandas.tseries.offsets.CustomBusinessMonthBegin.calendar", false]], "calendar (pandas.tseries.offsets.custombusinessmonthend attribute)": [[1721, "pandas.tseries.offsets.CustomBusinessMonthEnd.calendar", false]], "capitalize() (pandas.series.str method)": [[819, "pandas.Series.str.capitalize", false]], "case_when() (pandas.series method)": [[603, "pandas.Series.case_when", false]], "casefold() (pandas.series.str method)": [[820, "pandas.Series.str.casefold", false]], "cat() (pandas.series method)": [[604, "pandas.Series.cat", false]], "cat() (pandas.series.str method)": [[821, "pandas.Series.str.cat", false]], "categorical (class in pandas)": [[39, "pandas.Categorical", false]], "categoricalconversionwarning": [[1349, "pandas.errors.CategoricalConversionWarning", false]], "categoricaldtype (class in pandas)": [[46, "pandas.CategoricalDtype", false]], "categoricalindex (class in pandas)": [[49, "pandas.CategoricalIndex", false]], "categories (pandas.categorical property)": [[41, "pandas.Categorical.categories", false]], "categories (pandas.categoricaldtype property)": [[47, "pandas.CategoricalDtype.categories", false]], "categories (pandas.categoricalindex property)": [[53, "pandas.CategoricalIndex.categories", false]], "categories (pandas.series.cat attribute)": [[608, "pandas.Series.cat.categories", false]], "cbmonthbegin (in module pandas.tseries.offsets)": [[1654, "pandas.tseries.offsets.CBMonthBegin", false]], "cbmonthend (in module pandas.tseries.offsets)": [[1655, "pandas.tseries.offsets.CBMonthEnd", false]], "cday (in module pandas.tseries.offsets)": [[1656, "pandas.tseries.offsets.CDay", false]], "ceil() (pandas.datetimeindex method)": [[288, "pandas.DatetimeIndex.ceil", false]], "ceil() (pandas.series.dt method)": [[639, "pandas.Series.dt.ceil", false]], "ceil() (pandas.timedelta method)": [[919, "pandas.Timedelta.ceil", false]], "ceil() (pandas.timedeltaindex method)": [[940, "pandas.TimedeltaIndex.ceil", false]], "ceil() (pandas.timestamp method)": [[957, "pandas.Timestamp.ceil", false]], "center() (pandas.series.str method)": [[822, "pandas.Series.str.center", false]], "chainedassignmenterror": [[1350, "pandas.errors.ChainedAssignmentError", false]], "check_array_indexer() (in module pandas.api.indexers)": [[1076, "pandas.api.indexers.check_array_indexer", false]], "clear() (pandas.io.formats.style.styler method)": [[1399, "pandas.io.formats.style.Styler.clear", false]], "clip() (pandas.dataframe method)": [[92, "pandas.DataFrame.clip", false]], "clip() (pandas.series method)": [[616, "pandas.Series.clip", false]], "closed (pandas.arrays.intervalarray property)": [[1126, "pandas.arrays.IntervalArray.closed", false]], "closed (pandas.interval attribute)": [[446, "pandas.Interval.closed", false]], "closed (pandas.intervalindex attribute)": [[460, "pandas.IntervalIndex.closed", false]], "closed_left (pandas.interval attribute)": [[447, "pandas.Interval.closed_left", false]], "closed_right (pandas.interval attribute)": [[448, "pandas.Interval.closed_right", false]], "closedfileerror": [[1351, "pandas.errors.ClosedFileError", false]], "codes (pandas.categorical property)": [[42, "pandas.Categorical.codes", false]], "codes (pandas.categoricalindex property)": [[54, "pandas.CategoricalIndex.codes", false]], "codes (pandas.multiindex property)": [[480, "pandas.MultiIndex.codes", false]], "codes (pandas.series.cat attribute)": [[609, "pandas.Series.cat.codes", false]], "columns (pandas.dataframe attribute)": [[93, "pandas.DataFrame.columns", false]], "combine() (pandas.dataframe method)": [[94, "pandas.DataFrame.combine", false]], "combine() (pandas.series method)": [[617, "pandas.Series.combine", false]], "combine() (pandas.timestamp class method)": [[958, "pandas.Timestamp.combine", false]], "combine_first() (pandas.dataframe method)": [[95, "pandas.DataFrame.combine_first", false]], "combine_first() (pandas.series method)": [[618, "pandas.Series.combine_first", false]], "compare() (pandas.dataframe method)": [[96, "pandas.DataFrame.compare", false]], "compare() (pandas.series method)": [[619, "pandas.Series.compare", false]], "components (pandas.series.dt attribute)": [[640, "pandas.Series.dt.components", false]], "components (pandas.timedelta attribute)": [[920, "pandas.Timedelta.components", false]], "components (pandas.timedeltaindex property)": [[941, "pandas.TimedeltaIndex.components", false]], "concat() (in module pandas)": [[1146, "pandas.concat", false]], "concat() (pandas.io.formats.style.styler method)": [[1400, "pandas.io.formats.style.Styler.concat", false]], "contains() (pandas.arrays.intervalarray method)": [[1127, "pandas.arrays.IntervalArray.contains", false]], "contains() (pandas.intervalindex method)": [[461, "pandas.IntervalIndex.contains", false]], "contains() (pandas.series.str method)": [[823, "pandas.Series.str.contains", false]], "convert_dtypes() (pandas.dataframe method)": [[97, "pandas.DataFrame.convert_dtypes", false]], "convert_dtypes() (pandas.series method)": [[620, "pandas.Series.convert_dtypes", false]], "copy() (pandas.api.extensions.extensionarray method)": [[1046, "pandas.api.extensions.ExtensionArray.copy", false]], "copy() (pandas.dataframe method)": [[98, "pandas.DataFrame.copy", false]], "copy() (pandas.index method)": [[365, "pandas.Index.copy", false]], "copy() (pandas.multiindex method)": [[481, "pandas.MultiIndex.copy", false]], "copy() (pandas.series method)": [[621, "pandas.Series.copy", false]], "copy() (pandas.tseries.offsets.bquarterbegin method)": [[1507, "pandas.tseries.offsets.BQuarterBegin.copy", false]], "copy() (pandas.tseries.offsets.bquarterend method)": [[1525, "pandas.tseries.offsets.BQuarterEnd.copy", false]], "copy() (pandas.tseries.offsets.businessday method)": [[1580, "pandas.tseries.offsets.BusinessDay.copy", false]], "copy() (pandas.tseries.offsets.businesshour method)": [[1600, "pandas.tseries.offsets.BusinessHour.copy", false]], "copy() (pandas.tseries.offsets.businessmonthbegin method)": [[1621, "pandas.tseries.offsets.BusinessMonthBegin.copy", false]], "copy() (pandas.tseries.offsets.businessmonthend method)": [[1638, "pandas.tseries.offsets.BusinessMonthEnd.copy", false]], "copy() (pandas.tseries.offsets.byearbegin method)": [[1543, "pandas.tseries.offsets.BYearBegin.copy", false]], "copy() (pandas.tseries.offsets.byearend method)": [[1561, "pandas.tseries.offsets.BYearEnd.copy", false]], "copy() (pandas.tseries.offsets.custombusinessday method)": [[1659, "pandas.tseries.offsets.CustomBusinessDay.copy", false]], "copy() (pandas.tseries.offsets.custombusinesshour method)": [[1679, "pandas.tseries.offsets.CustomBusinessHour.copy", false]], "copy() (pandas.tseries.offsets.custombusinessmonthbegin method)": [[1701, "pandas.tseries.offsets.CustomBusinessMonthBegin.copy", false]], "copy() (pandas.tseries.offsets.custombusinessmonthend method)": [[1722, "pandas.tseries.offsets.CustomBusinessMonthEnd.copy", false]], "copy() (pandas.tseries.offsets.dateoffset method)": [[1742, "pandas.tseries.offsets.DateOffset.copy", false]], "copy() (pandas.tseries.offsets.day method)": [[1759, "pandas.tseries.offsets.Day.copy", false]], "copy() (pandas.tseries.offsets.easter method)": [[1777, "pandas.tseries.offsets.Easter.copy", false]], "copy() (pandas.tseries.offsets.fy5253 method)": [[1794, "pandas.tseries.offsets.FY5253.copy", false]], "copy() (pandas.tseries.offsets.fy5253quarter method)": [[1816, "pandas.tseries.offsets.FY5253Quarter.copy", false]], "copy() (pandas.tseries.offsets.hour method)": [[1840, "pandas.tseries.offsets.Hour.copy", false]], "copy() (pandas.tseries.offsets.lastweekofmonth method)": [[1858, "pandas.tseries.offsets.LastWeekOfMonth.copy", false]], "copy() (pandas.tseries.offsets.micro method)": [[1877, "pandas.tseries.offsets.Micro.copy", false]], "copy() (pandas.tseries.offsets.milli method)": [[1895, "pandas.tseries.offsets.Milli.copy", false]], "copy() (pandas.tseries.offsets.minute method)": [[1913, "pandas.tseries.offsets.Minute.copy", false]], "copy() (pandas.tseries.offsets.monthbegin method)": [[1931, "pandas.tseries.offsets.MonthBegin.copy", false]], "copy() (pandas.tseries.offsets.monthend method)": [[1948, "pandas.tseries.offsets.MonthEnd.copy", false]], "copy() (pandas.tseries.offsets.nano method)": [[1965, "pandas.tseries.offsets.Nano.copy", false]], "copy() (pandas.tseries.offsets.quarterbegin method)": [[1983, "pandas.tseries.offsets.QuarterBegin.copy", false]], "copy() (pandas.tseries.offsets.quarterend method)": [[2001, "pandas.tseries.offsets.QuarterEnd.copy", false]], "copy() (pandas.tseries.offsets.second method)": [[2019, "pandas.tseries.offsets.Second.copy", false]], "copy() (pandas.tseries.offsets.semimonthbegin method)": [[2037, "pandas.tseries.offsets.SemiMonthBegin.copy", false]], "copy() (pandas.tseries.offsets.semimonthend method)": [[2055, "pandas.tseries.offsets.SemiMonthEnd.copy", false]], "copy() (pandas.tseries.offsets.tick method)": [[2073, "pandas.tseries.offsets.Tick.copy", false]], "copy() (pandas.tseries.offsets.week method)": [[2091, "pandas.tseries.offsets.Week.copy", false]], "copy() (pandas.tseries.offsets.weekofmonth method)": [[2109, "pandas.tseries.offsets.WeekOfMonth.copy", false]], "copy() (pandas.tseries.offsets.yearbegin method)": [[2128, "pandas.tseries.offsets.YearBegin.copy", false]], "copy() (pandas.tseries.offsets.yearend method)": [[2146, "pandas.tseries.offsets.YearEnd.copy", false]], "corr() (pandas.core.groupby.dataframegroupby method)": [[1155, "pandas.core.groupby.DataFrameGroupBy.corr", false]], "corr() (pandas.core.groupby.seriesgroupby method)": [[1213, "pandas.core.groupby.SeriesGroupBy.corr", false]], "corr() (pandas.core.window.ewm.exponentialmovingwindow method)": [[1298, "pandas.core.window.ewm.ExponentialMovingWindow.corr", false]], "corr() (pandas.core.window.expanding.expanding method)": [[1306, "pandas.core.window.expanding.Expanding.corr", false]], "corr() (pandas.core.window.rolling.rolling method)": [[1323, "pandas.core.window.rolling.Rolling.corr", false]], "corr() (pandas.dataframe method)": [[99, "pandas.DataFrame.corr", false]], "corr() (pandas.series method)": [[622, "pandas.Series.corr", false]], "corrwith() (pandas.core.groupby.dataframegroupby method)": [[1156, "pandas.core.groupby.DataFrameGroupBy.corrwith", false]], "corrwith() (pandas.dataframe method)": [[100, "pandas.DataFrame.corrwith", false]], "count() (pandas.core.groupby.dataframegroupby method)": [[1157, "pandas.core.groupby.DataFrameGroupBy.count", false]], "count() (pandas.core.groupby.seriesgroupby method)": [[1214, "pandas.core.groupby.SeriesGroupBy.count", false]], "count() (pandas.core.resample.resampler method)": [[1273, "pandas.core.resample.Resampler.count", false]], "count() (pandas.core.window.expanding.expanding method)": [[1307, "pandas.core.window.expanding.Expanding.count", false]], "count() (pandas.core.window.rolling.rolling method)": [[1324, "pandas.core.window.rolling.Rolling.count", false]], "count() (pandas.dataframe method)": [[101, "pandas.DataFrame.count", false]], "count() (pandas.series method)": [[623, "pandas.Series.count", false]], "count() (pandas.series.str method)": [[824, "pandas.Series.str.count", false]], "cov() (pandas.core.groupby.dataframegroupby method)": [[1158, "pandas.core.groupby.DataFrameGroupBy.cov", false]], "cov() (pandas.core.groupby.seriesgroupby method)": [[1215, "pandas.core.groupby.SeriesGroupBy.cov", false]], "cov() (pandas.core.window.ewm.exponentialmovingwindow method)": [[1299, "pandas.core.window.ewm.ExponentialMovingWindow.cov", false]], "cov() (pandas.core.window.expanding.expanding method)": [[1308, "pandas.core.window.expanding.Expanding.cov", false]], "cov() (pandas.core.window.rolling.rolling method)": [[1325, "pandas.core.window.rolling.Rolling.cov", false]], "cov() (pandas.dataframe method)": [[102, "pandas.DataFrame.cov", false]], "cov() (pandas.series method)": [[624, "pandas.Series.cov", false]], "crosstab() (in module pandas)": [[1342, "pandas.crosstab", false]], "csswarning": [[1348, "pandas.errors.CSSWarning", false]], "ctime() (pandas.timestamp method)": [[959, "pandas.Timestamp.ctime", false]], "cumcount() (pandas.core.groupby.dataframegroupby method)": [[1159, "pandas.core.groupby.DataFrameGroupBy.cumcount", false]], "cumcount() (pandas.core.groupby.seriesgroupby method)": [[1216, "pandas.core.groupby.SeriesGroupBy.cumcount", false]], "cummax() (pandas.core.groupby.dataframegroupby method)": [[1160, "pandas.core.groupby.DataFrameGroupBy.cummax", false]], "cummax() (pandas.core.groupby.seriesgroupby method)": [[1217, "pandas.core.groupby.SeriesGroupBy.cummax", false]], "cummax() (pandas.dataframe method)": [[103, "pandas.DataFrame.cummax", false]], "cummax() (pandas.series method)": [[625, "pandas.Series.cummax", false]], "cummin() (pandas.core.groupby.dataframegroupby method)": [[1161, "pandas.core.groupby.DataFrameGroupBy.cummin", false]], "cummin() (pandas.core.groupby.seriesgroupby method)": [[1218, "pandas.core.groupby.SeriesGroupBy.cummin", false]], "cummin() (pandas.dataframe method)": [[104, "pandas.DataFrame.cummin", false]], "cummin() (pandas.series method)": [[626, "pandas.Series.cummin", false]], "cumprod() (pandas.core.groupby.dataframegroupby method)": [[1162, "pandas.core.groupby.DataFrameGroupBy.cumprod", false]], "cumprod() (pandas.core.groupby.seriesgroupby method)": [[1219, "pandas.core.groupby.SeriesGroupBy.cumprod", false]], "cumprod() (pandas.dataframe method)": [[105, "pandas.DataFrame.cumprod", false]], "cumprod() (pandas.series method)": [[627, "pandas.Series.cumprod", false]], "cumsum() (pandas.core.groupby.dataframegroupby method)": [[1163, "pandas.core.groupby.DataFrameGroupBy.cumsum", false]], "cumsum() (pandas.core.groupby.seriesgroupby method)": [[1220, "pandas.core.groupby.SeriesGroupBy.cumsum", false]], "cumsum() (pandas.dataframe method)": [[106, "pandas.DataFrame.cumsum", false]], "cumsum() (pandas.series method)": [[628, "pandas.Series.cumsum", false]], "custombusinessday (class in pandas.tseries.offsets)": [[1657, "pandas.tseries.offsets.CustomBusinessDay", false]], "custombusinesshour (class in pandas.tseries.offsets)": [[1677, "pandas.tseries.offsets.CustomBusinessHour", false]], "custombusinessmonthbegin (class in pandas.tseries.offsets)": [[1699, "pandas.tseries.offsets.CustomBusinessMonthBegin", false]], "custombusinessmonthend (class in pandas.tseries.offsets)": [[1720, "pandas.tseries.offsets.CustomBusinessMonthEnd", false]], "cut() (in module pandas)": [[1343, "pandas.cut", false]], "data_label (pandas.io.stata.statareader property)": [[1437, "pandas.io.stata.StataReader.data_label", false]], "databaseerror": [[1353, "pandas.errors.DatabaseError", false]], "dataerror": [[1352, "pandas.errors.DataError", false]], "dataframe (class in pandas)": [[63, "pandas.DataFrame", false]], "date (pandas.datetimeindex property)": [[289, "pandas.DatetimeIndex.date", false]], "date (pandas.series.dt attribute)": [[641, "pandas.Series.dt.date", false]], "date() (pandas.timestamp method)": [[960, "pandas.Timestamp.date", false]], "date_range() (in module pandas)": [[1344, "pandas.date_range", false]], "dateoffset (class in pandas.tseries.offsets)": [[1741, "pandas.tseries.offsets.DateOffset", false]], "datetimearray (class in pandas.arrays)": [[1122, "pandas.arrays.DatetimeArray", false]], "datetimeindex (class in pandas)": [[286, "pandas.DatetimeIndex", false]], "datetimetzdtype (class in pandas)": [[334, "pandas.DatetimeTZDtype", false]], "day (class in pandas.tseries.offsets)": [[1758, "pandas.tseries.offsets.Day", false]], "day (pandas.datetimeindex property)": [[290, "pandas.DatetimeIndex.day", false]], "day (pandas.period attribute)": [[512, "pandas.Period.day", false]], "day (pandas.periodindex property)": [[542, "pandas.PeriodIndex.day", false]], "day (pandas.series.dt attribute)": [[642, "pandas.Series.dt.day", false]], "day (pandas.timestamp attribute)": [[961, "pandas.Timestamp.day", false]], "day_name() (pandas.datetimeindex method)": [[291, "pandas.DatetimeIndex.day_name", false]], "day_name() (pandas.series.dt method)": [[643, "pandas.Series.dt.day_name", false]], "day_name() (pandas.timestamp method)": [[962, "pandas.Timestamp.day_name", false]], "day_of_month (pandas.tseries.offsets.semimonthbegin attribute)": [[2038, "pandas.tseries.offsets.SemiMonthBegin.day_of_month", false]], "day_of_month (pandas.tseries.offsets.semimonthend attribute)": [[2056, "pandas.tseries.offsets.SemiMonthEnd.day_of_month", false]], "day_of_week (pandas.datetimeindex property)": [[292, "pandas.DatetimeIndex.day_of_week", false]], "day_of_week (pandas.period attribute)": [[513, "pandas.Period.day_of_week", false]], "day_of_week (pandas.periodindex property)": [[543, "pandas.PeriodIndex.day_of_week", false]], "day_of_week (pandas.series.dt attribute)": [[644, "pandas.Series.dt.day_of_week", false]], "day_of_week (pandas.timestamp attribute)": [[963, "pandas.Timestamp.day_of_week", false]], "day_of_year (pandas.datetimeindex property)": [[293, "pandas.DatetimeIndex.day_of_year", false]], "day_of_year (pandas.period attribute)": [[514, "pandas.Period.day_of_year", false]], "day_of_year (pandas.periodindex property)": [[544, "pandas.PeriodIndex.day_of_year", false]], "day_of_year (pandas.series.dt attribute)": [[645, "pandas.Series.dt.day_of_year", false]], "day_of_year (pandas.timestamp attribute)": [[964, "pandas.Timestamp.day_of_year", false]], "dayofweek (pandas.datetimeindex property)": [[294, "pandas.DatetimeIndex.dayofweek", false]], "dayofweek (pandas.period attribute)": [[515, "pandas.Period.dayofweek", false]], "dayofweek (pandas.periodindex property)": [[545, "pandas.PeriodIndex.dayofweek", false]], "dayofweek (pandas.series.dt attribute)": [[646, "pandas.Series.dt.dayofweek", false]], "dayofweek (pandas.timestamp attribute)": [[965, "pandas.Timestamp.dayofweek", false]], "dayofyear (pandas.datetimeindex property)": [[295, "pandas.DatetimeIndex.dayofyear", false]], "dayofyear (pandas.period attribute)": [[516, "pandas.Period.dayofyear", false]], "dayofyear (pandas.periodindex property)": [[546, "pandas.PeriodIndex.dayofyear", false]], "dayofyear (pandas.series.dt attribute)": [[647, "pandas.Series.dt.dayofyear", false]], "dayofyear (pandas.timestamp attribute)": [[966, "pandas.Timestamp.dayofyear", false]], "days (pandas.series.dt attribute)": [[648, "pandas.Series.dt.days", false]], "days (pandas.timedelta attribute)": [[921, "pandas.Timedelta.days", false]], "days (pandas.timedeltaindex property)": [[942, "pandas.TimedeltaIndex.days", false]], "days_in_month (pandas.period attribute)": [[517, "pandas.Period.days_in_month", false]], "days_in_month (pandas.periodindex property)": [[547, "pandas.PeriodIndex.days_in_month", false]], "days_in_month (pandas.series.dt attribute)": [[649, "pandas.Series.dt.days_in_month", false]], "days_in_month (pandas.timestamp attribute)": [[967, "pandas.Timestamp.days_in_month", false]], "daysinmonth (pandas.period attribute)": [[518, "pandas.Period.daysinmonth", false]], "daysinmonth (pandas.periodindex property)": [[548, "pandas.PeriodIndex.daysinmonth", false]], "daysinmonth (pandas.series.dt attribute)": [[650, "pandas.Series.dt.daysinmonth", false]], "daysinmonth (pandas.timestamp attribute)": [[968, "pandas.Timestamp.daysinmonth", false]], "decode() (pandas.series.str method)": [[825, "pandas.Series.str.decode", false]], "delete() (pandas.index method)": [[366, "pandas.Index.delete", false]], "delta (pandas.tseries.offsets.day attribute)": [[1760, "pandas.tseries.offsets.Day.delta", false]], "delta (pandas.tseries.offsets.hour attribute)": [[1841, "pandas.tseries.offsets.Hour.delta", false]], "delta (pandas.tseries.offsets.micro attribute)": [[1878, "pandas.tseries.offsets.Micro.delta", false]], "delta (pandas.tseries.offsets.milli attribute)": [[1896, "pandas.tseries.offsets.Milli.delta", false]], "delta (pandas.tseries.offsets.minute attribute)": [[1914, "pandas.tseries.offsets.Minute.delta", false]], "delta (pandas.tseries.offsets.nano attribute)": [[1966, "pandas.tseries.offsets.Nano.delta", false]], "delta (pandas.tseries.offsets.second attribute)": [[2020, "pandas.tseries.offsets.Second.delta", false]], "delta (pandas.tseries.offsets.tick attribute)": [[2074, "pandas.tseries.offsets.Tick.delta", false]], "density (pandas.dataframe.sparse attribute)": [[236, "pandas.DataFrame.sparse.density", false]], "density (pandas.series.sparse attribute)": [[810, "pandas.Series.sparse.density", false]], "density() (pandas.dataframe.plot method)": [[191, "pandas.DataFrame.plot.density", false]], "density() (pandas.series.plot method)": [[767, "pandas.Series.plot.density", false]], "deregister_matplotlib_converters() (in module pandas.plotting)": [[1459, "pandas.plotting.deregister_matplotlib_converters", false]], "describe() (pandas.core.groupby.dataframegroupby method)": [[1164, "pandas.core.groupby.DataFrameGroupBy.describe", false]], "describe() (pandas.core.groupby.seriesgroupby method)": [[1221, "pandas.core.groupby.SeriesGroupBy.describe", false]], "describe() (pandas.dataframe method)": [[107, "pandas.DataFrame.describe", false]], "describe() (pandas.series method)": [[629, "pandas.Series.describe", false]], "describe_option (in module pandas)": [[1345, "pandas.describe_option", false]], "diff() (pandas.core.groupby.dataframegroupby method)": [[1165, "pandas.core.groupby.DataFrameGroupBy.diff", false]], "diff() (pandas.core.groupby.seriesgroupby method)": [[1222, "pandas.core.groupby.SeriesGroupBy.diff", false]], "diff() (pandas.dataframe method)": [[108, "pandas.DataFrame.diff", false]], "diff() (pandas.series method)": [[630, "pandas.Series.diff", false]], "difference() (pandas.index method)": [[367, "pandas.Index.difference", false]], "div() (pandas.dataframe method)": [[109, "pandas.DataFrame.div", false]], "div() (pandas.series method)": [[631, "pandas.Series.div", false]], "dot() (pandas.dataframe method)": [[110, "pandas.DataFrame.dot", false]], "dot() (pandas.series method)": [[632, "pandas.Series.dot", false]], "drop() (pandas.dataframe method)": [[111, "pandas.DataFrame.drop", false]], "drop() (pandas.index method)": [[368, "pandas.Index.drop", false]], "drop() (pandas.multiindex method)": [[482, "pandas.MultiIndex.drop", false]], "drop() (pandas.series method)": [[633, "pandas.Series.drop", false]], "drop_duplicates() (pandas.dataframe method)": [[112, "pandas.DataFrame.drop_duplicates", false]], "drop_duplicates() (pandas.index method)": [[369, "pandas.Index.drop_duplicates", false]], "drop_duplicates() (pandas.series method)": [[634, "pandas.Series.drop_duplicates", false]], "droplevel() (pandas.dataframe method)": [[113, "pandas.DataFrame.droplevel", false]], "droplevel() (pandas.index method)": [[370, "pandas.Index.droplevel", false]], "droplevel() (pandas.multiindex method)": [[483, "pandas.MultiIndex.droplevel", false]], "droplevel() (pandas.series method)": [[635, "pandas.Series.droplevel", false]], "dropna() (pandas.api.extensions.extensionarray method)": [[1047, "pandas.api.extensions.ExtensionArray.dropna", false]], "dropna() (pandas.dataframe method)": [[114, "pandas.DataFrame.dropna", false]], "dropna() (pandas.index method)": [[371, "pandas.Index.dropna", false]], "dropna() (pandas.series method)": [[636, "pandas.Series.dropna", false]], "dst() (pandas.timestamp method)": [[969, "pandas.Timestamp.dst", false]], "dt() (pandas.series method)": [[637, "pandas.Series.dt", false]], "dtype (pandas.api.extensions.extensionarray property)": [[1048, "pandas.api.extensions.ExtensionArray.dtype", false]], "dtype (pandas.categorical property)": [[43, "pandas.Categorical.dtype", false]], "dtype (pandas.index attribute)": [[372, "pandas.Index.dtype", false]], "dtype (pandas.series property)": [[690, "pandas.Series.dtype", false]], "dtypes (pandas.dataframe property)": [[115, "pandas.DataFrame.dtypes", false]], "dtypes (pandas.multiindex attribute)": [[484, "pandas.MultiIndex.dtypes", false]], "dtypes (pandas.series property)": [[691, "pandas.Series.dtypes", false]], "dtypes (pandas.series.struct attribute)": [[875, "pandas.Series.struct.dtypes", false]], "dtypewarning": [[1354, "pandas.errors.DtypeWarning", false]], "duplicated() (pandas.api.extensions.extensionarray method)": [[1049, "pandas.api.extensions.ExtensionArray.duplicated", false]], "duplicated() (pandas.dataframe method)": [[116, "pandas.DataFrame.duplicated", false]], "duplicated() (pandas.index method)": [[373, "pandas.Index.duplicated", false]], "duplicated() (pandas.series method)": [[692, "pandas.Series.duplicated", false]], "duplicatelabelerror": [[1355, "pandas.errors.DuplicateLabelError", false]], "easter (class in pandas.tseries.offsets)": [[1776, "pandas.tseries.offsets.Easter", false]], "empty (pandas.dataframe property)": [[117, "pandas.DataFrame.empty", false]], "empty (pandas.index property)": [[374, "pandas.Index.empty", false]], "empty (pandas.series property)": [[693, "pandas.Series.empty", false]], "emptydataerror": [[1356, "pandas.errors.EmptyDataError", false]], "encode() (pandas.series.str method)": [[826, "pandas.Series.str.encode", false]], "end (pandas.tseries.offsets.businesshour attribute)": [[1601, "pandas.tseries.offsets.BusinessHour.end", false]], "end (pandas.tseries.offsets.custombusinesshour attribute)": [[1680, "pandas.tseries.offsets.CustomBusinessHour.end", false]], "end_time (pandas.period attribute)": [[519, "pandas.Period.end_time", false]], "end_time (pandas.periodindex property)": [[549, "pandas.PeriodIndex.end_time", false]], "end_time (pandas.series.dt attribute)": [[651, "pandas.Series.dt.end_time", false]], "endswith() (pandas.series.str method)": [[827, "pandas.Series.str.endswith", false]], "env (pandas.io.formats.style.styler attribute)": [[1401, "pandas.io.formats.style.Styler.env", false]], "eq() (pandas.dataframe method)": [[118, "pandas.DataFrame.eq", false]], "eq() (pandas.series method)": [[694, "pandas.Series.eq", false]], "equals() (pandas.api.extensions.extensionarray method)": [[1050, "pandas.api.extensions.ExtensionArray.equals", false]], "equals() (pandas.categoricalindex method)": [[55, "pandas.CategoricalIndex.equals", false]], "equals() (pandas.dataframe method)": [[119, "pandas.DataFrame.equals", false]], "equals() (pandas.index method)": [[375, "pandas.Index.equals", false]], "equals() (pandas.series method)": [[695, "pandas.Series.equals", false]], "eval() (in module pandas)": [[1387, "pandas.eval", false]], "eval() (pandas.dataframe method)": [[120, "pandas.DataFrame.eval", false]], "ewm() (pandas.dataframe method)": [[121, "pandas.DataFrame.ewm", false]], "ewm() (pandas.series method)": [[696, "pandas.Series.ewm", false]], "excelfile (class in pandas)": [[337, "pandas.ExcelFile", false]], "excelwriter (class in pandas)": [[341, "pandas.ExcelWriter", false]], "expanding() (pandas.dataframe method)": [[122, "pandas.DataFrame.expanding", false]], "expanding() (pandas.series method)": [[697, "pandas.Series.expanding", false]], "explode() (pandas.dataframe method)": [[123, "pandas.DataFrame.explode", false]], "explode() (pandas.series method)": [[698, "pandas.Series.explode", false]], "explode() (pandas.series.struct method)": [[876, "pandas.Series.struct.explode", false]], "export() (pandas.io.formats.style.styler method)": [[1402, "pandas.io.formats.style.Styler.export", false]], "extensionarray (class in pandas.api.extensions)": [[1031, "pandas.api.extensions.ExtensionArray", false]], "extensiondtype (class in pandas.api.extensions)": [[1068, "pandas.api.extensions.ExtensionDtype", false]], "extract() (pandas.series.str method)": [[828, "pandas.Series.str.extract", false]], "extractall() (pandas.series.str method)": [[829, "pandas.Series.str.extractall", false]], "factorize() (in module pandas)": [[1388, "pandas.factorize", false]], "factorize() (pandas.api.extensions.extensionarray method)": [[1051, "pandas.api.extensions.ExtensionArray.factorize", false]], "factorize() (pandas.index method)": [[376, "pandas.Index.factorize", false]], "factorize() (pandas.series method)": [[699, "pandas.Series.factorize", false]], "ffill() (pandas.core.groupby.dataframegroupby method)": [[1166, "pandas.core.groupby.DataFrameGroupBy.ffill", false]], "ffill() (pandas.core.groupby.seriesgroupby method)": [[1223, "pandas.core.groupby.SeriesGroupBy.ffill", false]], "ffill() (pandas.core.resample.resampler method)": [[1274, "pandas.core.resample.Resampler.ffill", false]], "ffill() (pandas.dataframe method)": [[124, "pandas.DataFrame.ffill", false]], "ffill() (pandas.series method)": [[700, "pandas.Series.ffill", false]], "field() (pandas.series.struct method)": [[877, "pandas.Series.struct.field", false]], "fill_value (pandas.series.sparse attribute)": [[811, "pandas.Series.sparse.fill_value", false]], "fillna() (pandas.api.extensions.extensionarray method)": [[1052, "pandas.api.extensions.ExtensionArray.fillna", false]], "fillna() (pandas.core.groupby.dataframegroupby method)": [[1167, "pandas.core.groupby.DataFrameGroupBy.fillna", false]], "fillna() (pandas.core.groupby.seriesgroupby method)": [[1224, "pandas.core.groupby.SeriesGroupBy.fillna", false]], "fillna() (pandas.core.resample.resampler method)": [[1275, "pandas.core.resample.Resampler.fillna", false]], "fillna() (pandas.dataframe method)": [[125, "pandas.DataFrame.fillna", false]], "fillna() (pandas.index method)": [[377, "pandas.Index.fillna", false]], "fillna() (pandas.series method)": [[701, "pandas.Series.fillna", false]], "filter() (pandas.core.groupby.dataframegroupby method)": [[1168, "pandas.core.groupby.DataFrameGroupBy.filter", false]], "filter() (pandas.core.groupby.seriesgroupby method)": [[1225, "pandas.core.groupby.SeriesGroupBy.filter", false]], "filter() (pandas.dataframe method)": [[126, "pandas.DataFrame.filter", false]], "filter() (pandas.series method)": [[702, "pandas.Series.filter", false]], "find() (pandas.series.str method)": [[830, "pandas.Series.str.find", false]], "findall() (pandas.series.str method)": [[831, "pandas.Series.str.findall", false]], "first() (pandas.core.groupby.dataframegroupby method)": [[1169, "pandas.core.groupby.DataFrameGroupBy.first", false]], "first() (pandas.core.groupby.seriesgroupby method)": [[1226, "pandas.core.groupby.SeriesGroupBy.first", false]], "first() (pandas.core.resample.resampler method)": [[1276, "pandas.core.resample.Resampler.first", false]], "first() (pandas.dataframe method)": [[127, "pandas.DataFrame.first", false]], "first() (pandas.series method)": [[703, "pandas.Series.first", false]], "first_valid_index() (pandas.dataframe method)": [[128, "pandas.DataFrame.first_valid_index", false]], "first_valid_index() (pandas.series method)": [[704, "pandas.Series.first_valid_index", false]], "fixedforwardwindowindexer (class in pandas.api.indexers)": [[1074, "pandas.api.indexers.FixedForwardWindowIndexer", false]], "flags (class in pandas)": [[342, "pandas.Flags", false]], "flags (pandas.series property)": [[705, "pandas.Series.flags", false]], "flatten() (pandas.series.list method)": [[736, "pandas.Series.list.flatten", false]], "float32dtype (class in pandas)": [[343, "pandas.Float32Dtype", false]], "float64dtype (class in pandas)": [[344, "pandas.Float64Dtype", false]], "floatingarray (class in pandas.arrays)": [[1123, "pandas.arrays.FloatingArray", false]], "floor() (pandas.datetimeindex method)": [[296, "pandas.DatetimeIndex.floor", false]], "floor() (pandas.series.dt method)": [[652, "pandas.Series.dt.floor", false]], "floor() (pandas.timedelta method)": [[922, "pandas.Timedelta.floor", false]], "floor() (pandas.timedeltaindex method)": [[943, "pandas.TimedeltaIndex.floor", false]], "floor() (pandas.timestamp method)": [[970, "pandas.Timestamp.floor", false]], "floordiv() (pandas.dataframe method)": [[129, "pandas.DataFrame.floordiv", false]], "floordiv() (pandas.series method)": [[706, "pandas.Series.floordiv", false]], "fold (pandas.timestamp attribute)": [[971, "pandas.Timestamp.fold", false]], "format() (pandas.io.formats.style.styler method)": [[1403, "pandas.io.formats.style.Styler.format", false]], "format_index() (pandas.io.formats.style.styler method)": [[1404, "pandas.io.formats.style.Styler.format_index", false]], "freq (pandas.datetimeindex property)": [[297, "pandas.DatetimeIndex.freq", false]], "freq (pandas.period attribute)": [[520, "pandas.Period.freq", false]], "freq (pandas.perioddtype property)": [[539, "pandas.PeriodDtype.freq", false]], "freq (pandas.periodindex property)": [[550, "pandas.PeriodIndex.freq", false]], "freq (pandas.series.dt attribute)": [[653, "pandas.Series.dt.freq", false]], "freqstr (pandas.datetimeindex property)": [[298, "pandas.DatetimeIndex.freqstr", false]], "freqstr (pandas.period attribute)": [[521, "pandas.Period.freqstr", false]], "freqstr (pandas.periodindex property)": [[551, "pandas.PeriodIndex.freqstr", false]], "freqstr (pandas.tseries.offsets.bquarterbegin attribute)": [[1508, "pandas.tseries.offsets.BQuarterBegin.freqstr", false]], "freqstr (pandas.tseries.offsets.bquarterend attribute)": [[1526, "pandas.tseries.offsets.BQuarterEnd.freqstr", false]], "freqstr (pandas.tseries.offsets.businessday attribute)": [[1581, "pandas.tseries.offsets.BusinessDay.freqstr", false]], "freqstr (pandas.tseries.offsets.businesshour attribute)": [[1602, "pandas.tseries.offsets.BusinessHour.freqstr", false]], "freqstr (pandas.tseries.offsets.businessmonthbegin attribute)": [[1622, "pandas.tseries.offsets.BusinessMonthBegin.freqstr", false]], "freqstr (pandas.tseries.offsets.businessmonthend attribute)": [[1639, "pandas.tseries.offsets.BusinessMonthEnd.freqstr", false]], "freqstr (pandas.tseries.offsets.byearbegin attribute)": [[1544, "pandas.tseries.offsets.BYearBegin.freqstr", false]], "freqstr (pandas.tseries.offsets.byearend attribute)": [[1562, "pandas.tseries.offsets.BYearEnd.freqstr", false]], "freqstr (pandas.tseries.offsets.custombusinessday attribute)": [[1660, "pandas.tseries.offsets.CustomBusinessDay.freqstr", false]], "freqstr (pandas.tseries.offsets.custombusinesshour attribute)": [[1681, "pandas.tseries.offsets.CustomBusinessHour.freqstr", false]], "freqstr (pandas.tseries.offsets.custombusinessmonthbegin attribute)": [[1702, "pandas.tseries.offsets.CustomBusinessMonthBegin.freqstr", false]], "freqstr (pandas.tseries.offsets.custombusinessmonthend attribute)": [[1723, "pandas.tseries.offsets.CustomBusinessMonthEnd.freqstr", false]], "freqstr (pandas.tseries.offsets.dateoffset attribute)": [[1743, "pandas.tseries.offsets.DateOffset.freqstr", false]], "freqstr (pandas.tseries.offsets.day attribute)": [[1761, "pandas.tseries.offsets.Day.freqstr", false]], "freqstr (pandas.tseries.offsets.easter attribute)": [[1778, "pandas.tseries.offsets.Easter.freqstr", false]], "freqstr (pandas.tseries.offsets.fy5253 attribute)": [[1795, "pandas.tseries.offsets.FY5253.freqstr", false]], "freqstr (pandas.tseries.offsets.fy5253quarter attribute)": [[1817, "pandas.tseries.offsets.FY5253Quarter.freqstr", false]], "freqstr (pandas.tseries.offsets.hour attribute)": [[1842, "pandas.tseries.offsets.Hour.freqstr", false]], "freqstr (pandas.tseries.offsets.lastweekofmonth attribute)": [[1859, "pandas.tseries.offsets.LastWeekOfMonth.freqstr", false]], "freqstr (pandas.tseries.offsets.micro attribute)": [[1879, "pandas.tseries.offsets.Micro.freqstr", false]], "freqstr (pandas.tseries.offsets.milli attribute)": [[1897, "pandas.tseries.offsets.Milli.freqstr", false]], "freqstr (pandas.tseries.offsets.minute attribute)": [[1915, "pandas.tseries.offsets.Minute.freqstr", false]], "freqstr (pandas.tseries.offsets.monthbegin attribute)": [[1932, "pandas.tseries.offsets.MonthBegin.freqstr", false]], "freqstr (pandas.tseries.offsets.monthend attribute)": [[1949, "pandas.tseries.offsets.MonthEnd.freqstr", false]], "freqstr (pandas.tseries.offsets.nano attribute)": [[1967, "pandas.tseries.offsets.Nano.freqstr", false]], "freqstr (pandas.tseries.offsets.quarterbegin attribute)": [[1984, "pandas.tseries.offsets.QuarterBegin.freqstr", false]], "freqstr (pandas.tseries.offsets.quarterend attribute)": [[2002, "pandas.tseries.offsets.QuarterEnd.freqstr", false]], "freqstr (pandas.tseries.offsets.second attribute)": [[2021, "pandas.tseries.offsets.Second.freqstr", false]], "freqstr (pandas.tseries.offsets.semimonthbegin attribute)": [[2039, "pandas.tseries.offsets.SemiMonthBegin.freqstr", false]], "freqstr (pandas.tseries.offsets.semimonthend attribute)": [[2057, "pandas.tseries.offsets.SemiMonthEnd.freqstr", false]], "freqstr (pandas.tseries.offsets.tick attribute)": [[2075, "pandas.tseries.offsets.Tick.freqstr", false]], "freqstr (pandas.tseries.offsets.week attribute)": [[2092, "pandas.tseries.offsets.Week.freqstr", false]], "freqstr (pandas.tseries.offsets.weekofmonth attribute)": [[2110, "pandas.tseries.offsets.WeekOfMonth.freqstr", false]], "freqstr (pandas.tseries.offsets.yearbegin attribute)": [[2129, "pandas.tseries.offsets.YearBegin.freqstr", false]], "freqstr (pandas.tseries.offsets.yearend attribute)": [[2147, "pandas.tseries.offsets.YearEnd.freqstr", false]], "from_arrays() (pandas.arrays.intervalarray class method)": [[1128, "pandas.arrays.IntervalArray.from_arrays", false]], "from_arrays() (pandas.intervalindex class method)": [[462, "pandas.IntervalIndex.from_arrays", false]], "from_arrays() (pandas.multiindex class method)": [[485, "pandas.MultiIndex.from_arrays", false]], "from_breaks() (pandas.arrays.intervalarray class method)": [[1129, "pandas.arrays.IntervalArray.from_breaks", false]], "from_breaks() (pandas.intervalindex class method)": [[463, "pandas.IntervalIndex.from_breaks", false]], "from_codes() (pandas.categorical class method)": [[44, "pandas.Categorical.from_codes", false]], "from_coo() (pandas.series.sparse class method)": [[812, "pandas.Series.sparse.from_coo", false]], "from_custom_template() (pandas.io.formats.style.styler class method)": [[1405, "pandas.io.formats.style.Styler.from_custom_template", false]], "from_dataframe() (in module pandas.api.interchange)": [[1077, "pandas.api.interchange.from_dataframe", false]], "from_dict() (pandas.dataframe class method)": [[130, "pandas.DataFrame.from_dict", false]], "from_dummies() (in module pandas)": [[1389, "pandas.from_dummies", false]], "from_fields() (pandas.periodindex class method)": [[552, "pandas.PeriodIndex.from_fields", false]], "from_frame() (pandas.multiindex class method)": [[486, "pandas.MultiIndex.from_frame", false]], "from_ordinals() (pandas.periodindex class method)": [[553, "pandas.PeriodIndex.from_ordinals", false]], "from_product() (pandas.multiindex class method)": [[487, "pandas.MultiIndex.from_product", false]], "from_range() (pandas.rangeindex class method)": [[569, "pandas.RangeIndex.from_range", false]], "from_records() (pandas.dataframe class method)": [[131, "pandas.DataFrame.from_records", false]], "from_spmatrix() (pandas.dataframe.sparse class method)": [[237, "pandas.DataFrame.sparse.from_spmatrix", false]], "from_tuples() (pandas.arrays.intervalarray class method)": [[1130, "pandas.arrays.IntervalArray.from_tuples", false]], "from_tuples() (pandas.intervalindex class method)": [[464, "pandas.IntervalIndex.from_tuples", false]], "from_tuples() (pandas.multiindex class method)": [[488, "pandas.MultiIndex.from_tuples", false]], "fromordinal() (pandas.timestamp class method)": [[972, "pandas.Timestamp.fromordinal", false]], "fromtimestamp() (pandas.timestamp class method)": [[973, "pandas.Timestamp.fromtimestamp", false]], "fullmatch() (pandas.series.str method)": [[832, "pandas.Series.str.fullmatch", false]], "fy5253 (class in pandas.tseries.offsets)": [[1793, "pandas.tseries.offsets.FY5253", false]], "fy5253quarter (class in pandas.tseries.offsets)": [[1815, "pandas.tseries.offsets.FY5253Quarter", false]], "ge() (pandas.dataframe method)": [[132, "pandas.DataFrame.ge", false]], "ge() (pandas.series method)": [[707, "pandas.Series.ge", false]], "get() (pandas.dataframe method)": [[133, "pandas.DataFrame.get", false]], "get() (pandas.hdfstore method)": [[347, "pandas.HDFStore.get", false]], "get() (pandas.series method)": [[708, "pandas.Series.get", false]], "get() (pandas.series.str method)": [[833, "pandas.Series.str.get", false]], "get_dummies() (in module pandas)": [[1390, "pandas.get_dummies", false]], "get_dummies() (pandas.series.str method)": [[834, "pandas.Series.str.get_dummies", false]], "get_group() (pandas.core.groupby.dataframegroupby method)": [[1170, "pandas.core.groupby.DataFrameGroupBy.get_group", false]], "get_group() (pandas.core.groupby.seriesgroupby method)": [[1227, "pandas.core.groupby.SeriesGroupBy.get_group", false]], "get_group() (pandas.core.resample.resampler method)": [[1277, "pandas.core.resample.Resampler.get_group", false]], "get_indexer() (pandas.index method)": [[378, "pandas.Index.get_indexer", false]], "get_indexer() (pandas.intervalindex method)": [[465, "pandas.IntervalIndex.get_indexer", false]], "get_indexer() (pandas.multiindex method)": [[489, "pandas.MultiIndex.get_indexer", false]], "get_indexer_for() (pandas.index method)": [[379, "pandas.Index.get_indexer_for", false]], "get_indexer_non_unique() (pandas.index method)": [[380, "pandas.Index.get_indexer_non_unique", false]], "get_level_values() (pandas.index method)": [[381, "pandas.Index.get_level_values", false]], "get_level_values() (pandas.multiindex method)": [[490, "pandas.MultiIndex.get_level_values", false]], "get_loc() (pandas.index method)": [[382, "pandas.Index.get_loc", false]], "get_loc() (pandas.intervalindex method)": [[466, "pandas.IntervalIndex.get_loc", false]], "get_loc() (pandas.multiindex method)": [[491, "pandas.MultiIndex.get_loc", false]], "get_loc_level() (pandas.multiindex method)": [[492, "pandas.MultiIndex.get_loc_level", false]], "get_locs() (pandas.multiindex method)": [[493, "pandas.MultiIndex.get_locs", false]], "get_option (in module pandas)": [[1391, "pandas.get_option", false]], "get_rule_code_suffix() (pandas.tseries.offsets.fy5253 method)": [[1796, "pandas.tseries.offsets.FY5253.get_rule_code_suffix", false]], "get_rule_code_suffix() (pandas.tseries.offsets.fy5253quarter method)": [[1818, "pandas.tseries.offsets.FY5253Quarter.get_rule_code_suffix", false]], "get_slice_bound() (pandas.index method)": [[383, "pandas.Index.get_slice_bound", false]], "get_weeks() (pandas.tseries.offsets.fy5253quarter method)": [[1819, "pandas.tseries.offsets.FY5253Quarter.get_weeks", false]], "get_year_end() (pandas.tseries.offsets.fy5253 method)": [[1797, "pandas.tseries.offsets.FY5253.get_year_end", false]], "groupby() (pandas.dataframe method)": [[134, "pandas.DataFrame.groupby", false]], "groupby() (pandas.series method)": [[709, "pandas.Series.groupby", false]], "grouper (class in pandas)": [[345, "pandas.Grouper", false]], "groups (pandas.core.groupby.dataframegroupby property)": [[1171, "pandas.core.groupby.DataFrameGroupBy.groups", false]], "groups (pandas.core.groupby.seriesgroupby property)": [[1228, "pandas.core.groupby.SeriesGroupBy.groups", false]], "groups (pandas.core.resample.resampler property)": [[1278, "pandas.core.resample.Resampler.groups", false]], "groups() (pandas.hdfstore method)": [[348, "pandas.HDFStore.groups", false]], "gt() (pandas.dataframe method)": [[135, "pandas.DataFrame.gt", false]], "gt() (pandas.series method)": [[710, "pandas.Series.gt", false]], "guess_datetime_format() (in module pandas.tseries.api)": [[1501, "pandas.tseries.api.guess_datetime_format", false]], "has_duplicates (pandas.index property)": [[384, "pandas.Index.has_duplicates", false]], "hash_array() (in module pandas.util)": [[2164, "pandas.util.hash_array", false]], "hash_pandas_object() (in module pandas.util)": [[2165, "pandas.util.hash_pandas_object", false]], "hasnans (pandas.index attribute)": [[385, "pandas.Index.hasnans", false]], "hasnans (pandas.series property)": [[711, "pandas.Series.hasnans", false]], "head() (pandas.core.groupby.dataframegroupby method)": [[1172, "pandas.core.groupby.DataFrameGroupBy.head", false]], "head() (pandas.core.groupby.seriesgroupby method)": [[1229, "pandas.core.groupby.SeriesGroupBy.head", false]], "head() (pandas.dataframe method)": [[136, "pandas.DataFrame.head", false]], "head() (pandas.series method)": [[712, "pandas.Series.head", false]], "hexbin() (pandas.dataframe.plot method)": [[192, "pandas.DataFrame.plot.hexbin", false]], "hide() (pandas.io.formats.style.styler method)": [[1406, "pandas.io.formats.style.Styler.hide", false]], "highlight_between() (pandas.io.formats.style.styler method)": [[1407, "pandas.io.formats.style.Styler.highlight_between", false]], "highlight_max() (pandas.io.formats.style.styler method)": [[1408, "pandas.io.formats.style.Styler.highlight_max", false]], "highlight_min() (pandas.io.formats.style.styler method)": [[1409, "pandas.io.formats.style.Styler.highlight_min", false]], "highlight_null() (pandas.io.formats.style.styler method)": [[1410, "pandas.io.formats.style.Styler.highlight_null", false]], "highlight_quantile() (pandas.io.formats.style.styler method)": [[1411, "pandas.io.formats.style.Styler.highlight_quantile", false]], "hist() (pandas.core.groupby.dataframegroupby method)": [[1173, "pandas.core.groupby.DataFrameGroupBy.hist", false]], "hist() (pandas.core.groupby.seriesgroupby method)": [[1230, "pandas.core.groupby.SeriesGroupBy.hist", false]], "hist() (pandas.dataframe method)": [[137, "pandas.DataFrame.hist", false]], "hist() (pandas.dataframe.plot method)": [[193, "pandas.DataFrame.plot.hist", false]], "hist() (pandas.series method)": [[713, "pandas.Series.hist", false]], "hist() (pandas.series.plot method)": [[768, "pandas.Series.plot.hist", false]], "holidays (pandas.tseries.offsets.businessday attribute)": [[1582, "pandas.tseries.offsets.BusinessDay.holidays", false]], "holidays (pandas.tseries.offsets.businesshour attribute)": [[1603, "pandas.tseries.offsets.BusinessHour.holidays", false]], "holidays (pandas.tseries.offsets.custombusinessday attribute)": [[1661, "pandas.tseries.offsets.CustomBusinessDay.holidays", false]], "holidays (pandas.tseries.offsets.custombusinesshour attribute)": [[1682, "pandas.tseries.offsets.CustomBusinessHour.holidays", false]], "holidays (pandas.tseries.offsets.custombusinessmonthbegin attribute)": [[1703, "pandas.tseries.offsets.CustomBusinessMonthBegin.holidays", false]], "holidays (pandas.tseries.offsets.custombusinessmonthend attribute)": [[1724, "pandas.tseries.offsets.CustomBusinessMonthEnd.holidays", false]], "hour (class in pandas.tseries.offsets)": [[1839, "pandas.tseries.offsets.Hour", false]], "hour (pandas.datetimeindex property)": [[299, "pandas.DatetimeIndex.hour", false]], "hour (pandas.period attribute)": [[522, "pandas.Period.hour", false]], "hour (pandas.periodindex property)": [[554, "pandas.PeriodIndex.hour", false]], "hour (pandas.series.dt attribute)": [[654, "pandas.Series.dt.hour", false]], "hour (pandas.timestamp attribute)": [[974, "pandas.Timestamp.hour", false]], "iat (pandas.dataframe property)": [[138, "pandas.DataFrame.iat", false]], "iat (pandas.series property)": [[714, "pandas.Series.iat", false]], "identical() (pandas.index method)": [[386, "pandas.Index.identical", false]], "idxmax() (pandas.core.groupby.dataframegroupby method)": [[1174, "pandas.core.groupby.DataFrameGroupBy.idxmax", false]], "idxmax() (pandas.core.groupby.seriesgroupby method)": [[1231, "pandas.core.groupby.SeriesGroupBy.idxmax", false]], "idxmax() (pandas.dataframe method)": [[139, "pandas.DataFrame.idxmax", false]], "idxmax() (pandas.series method)": [[715, "pandas.Series.idxmax", false]], "idxmin() (pandas.core.groupby.dataframegroupby method)": [[1175, "pandas.core.groupby.DataFrameGroupBy.idxmin", false]], "idxmin() (pandas.core.groupby.seriesgroupby method)": [[1232, "pandas.core.groupby.SeriesGroupBy.idxmin", false]], "idxmin() (pandas.dataframe method)": [[140, "pandas.DataFrame.idxmin", false]], "idxmin() (pandas.series method)": [[716, "pandas.Series.idxmin", false]], "iloc (pandas.dataframe property)": [[141, "pandas.DataFrame.iloc", false]], "iloc (pandas.series property)": [[717, "pandas.Series.iloc", false]], "incompatibilitywarning": [[1357, "pandas.errors.IncompatibilityWarning", false]], "index (class in pandas)": [[354, "pandas.Index", false]], "index (pandas.dataframe attribute)": [[142, "pandas.DataFrame.index", false]], "index (pandas.series attribute)": [[718, "pandas.Series.index", false]], "index() (pandas.series.str method)": [[835, "pandas.Series.str.index", false]], "indexer_at_time() (pandas.datetimeindex method)": [[300, "pandas.DatetimeIndex.indexer_at_time", false]], "indexer_between_time() (pandas.datetimeindex method)": [[301, "pandas.DatetimeIndex.indexer_between_time", false]], "indexingerror": [[1358, "pandas.errors.IndexingError", false]], "indexslice (in module pandas)": [[440, "pandas.IndexSlice", false]], "indices (pandas.core.groupby.dataframegroupby property)": [[1176, "pandas.core.groupby.DataFrameGroupBy.indices", false]], "indices (pandas.core.groupby.seriesgroupby property)": [[1233, "pandas.core.groupby.SeriesGroupBy.indices", false]], "indices (pandas.core.resample.resampler property)": [[1279, "pandas.core.resample.Resampler.indices", false]], "infer_dtype() (in module pandas.api.types)": [[1078, "pandas.api.types.infer_dtype", false]], "infer_freq() (in module pandas)": [[1392, "pandas.infer_freq", false]], "infer_objects() (pandas.dataframe method)": [[143, "pandas.DataFrame.infer_objects", false]], "infer_objects() (pandas.series method)": [[719, "pandas.Series.infer_objects", false]], "inferred_freq (pandas.datetimeindex attribute)": [[302, "pandas.DatetimeIndex.inferred_freq", false]], "inferred_freq (pandas.timedeltaindex attribute)": [[944, "pandas.TimedeltaIndex.inferred_freq", false]], "inferred_type (pandas.index attribute)": [[387, "pandas.Index.inferred_type", false]], "info() (pandas.dataframe method)": [[144, "pandas.DataFrame.info", false]], "info() (pandas.hdfstore method)": [[349, "pandas.HDFStore.info", false]], "insert() (pandas.api.extensions.extensionarray method)": [[1053, "pandas.api.extensions.ExtensionArray.insert", false]], "insert() (pandas.dataframe method)": [[145, "pandas.DataFrame.insert", false]], "insert() (pandas.index method)": [[388, "pandas.Index.insert", false]], "int16dtype (class in pandas)": [[441, "pandas.Int16Dtype", false]], "int32dtype (class in pandas)": [[442, "pandas.Int32Dtype", false]], "int64dtype (class in pandas)": [[443, "pandas.Int64Dtype", false]], "int8dtype (class in pandas)": [[444, "pandas.Int8Dtype", false]], "intcastingnanerror": [[1359, "pandas.errors.IntCastingNaNError", false]], "integerarray (class in pandas.arrays)": [[1124, "pandas.arrays.IntegerArray", false]], "interpolate() (pandas.api.extensions.extensionarray method)": [[1054, "pandas.api.extensions.ExtensionArray.interpolate", false]], "interpolate() (pandas.core.resample.resampler method)": [[1280, "pandas.core.resample.Resampler.interpolate", false]], "interpolate() (pandas.dataframe method)": [[146, "pandas.DataFrame.interpolate", false]], "interpolate() (pandas.series method)": [[720, "pandas.Series.interpolate", false]], "intersection() (pandas.index method)": [[389, "pandas.Index.intersection", false]], "interval (class in pandas)": [[445, "pandas.Interval", false]], "interval_range() (in module pandas)": [[1393, "pandas.interval_range", false]], "intervalarray (class in pandas.arrays)": [[1125, "pandas.arrays.IntervalArray", false]], "intervaldtype (class in pandas)": [[457, "pandas.IntervalDtype", false]], "intervalindex (class in pandas)": [[459, "pandas.IntervalIndex", false]], "invalidcolumnname": [[1360, "pandas.errors.InvalidColumnName", false]], "invalidcomparison": [[1361, "pandas.errors.InvalidComparison", false]], "invalidindexerror": [[1362, "pandas.errors.InvalidIndexError", false]], "invalidversion": [[1363, "pandas.errors.InvalidVersion", false]], "is_() (pandas.index method)": [[390, "pandas.Index.is_", false]], "is_anchored() (pandas.tseries.offsets.bquarterbegin method)": [[1509, "pandas.tseries.offsets.BQuarterBegin.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.bquarterend method)": [[1527, "pandas.tseries.offsets.BQuarterEnd.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.businessday method)": [[1583, "pandas.tseries.offsets.BusinessDay.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.businesshour method)": [[1604, "pandas.tseries.offsets.BusinessHour.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.businessmonthbegin method)": [[1623, "pandas.tseries.offsets.BusinessMonthBegin.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.businessmonthend method)": [[1640, "pandas.tseries.offsets.BusinessMonthEnd.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.byearbegin method)": [[1545, "pandas.tseries.offsets.BYearBegin.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.byearend method)": [[1563, "pandas.tseries.offsets.BYearEnd.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.custombusinessday method)": [[1662, "pandas.tseries.offsets.CustomBusinessDay.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.custombusinesshour method)": [[1683, "pandas.tseries.offsets.CustomBusinessHour.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.custombusinessmonthbegin method)": [[1704, "pandas.tseries.offsets.CustomBusinessMonthBegin.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.custombusinessmonthend method)": [[1725, "pandas.tseries.offsets.CustomBusinessMonthEnd.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.dateoffset method)": [[1744, "pandas.tseries.offsets.DateOffset.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.day method)": [[1762, "pandas.tseries.offsets.Day.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.easter method)": [[1779, "pandas.tseries.offsets.Easter.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.fy5253 method)": [[1798, "pandas.tseries.offsets.FY5253.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.fy5253quarter method)": [[1820, "pandas.tseries.offsets.FY5253Quarter.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.hour method)": [[1843, "pandas.tseries.offsets.Hour.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.lastweekofmonth method)": [[1860, "pandas.tseries.offsets.LastWeekOfMonth.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.micro method)": [[1880, "pandas.tseries.offsets.Micro.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.milli method)": [[1898, "pandas.tseries.offsets.Milli.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.minute method)": [[1916, "pandas.tseries.offsets.Minute.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.monthbegin method)": [[1933, "pandas.tseries.offsets.MonthBegin.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.monthend method)": [[1950, "pandas.tseries.offsets.MonthEnd.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.nano method)": [[1968, "pandas.tseries.offsets.Nano.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.quarterbegin method)": [[1985, "pandas.tseries.offsets.QuarterBegin.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.quarterend method)": [[2003, "pandas.tseries.offsets.QuarterEnd.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.second method)": [[2022, "pandas.tseries.offsets.Second.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.semimonthbegin method)": [[2040, "pandas.tseries.offsets.SemiMonthBegin.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.semimonthend method)": [[2058, "pandas.tseries.offsets.SemiMonthEnd.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.tick method)": [[2076, "pandas.tseries.offsets.Tick.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.week method)": [[2093, "pandas.tseries.offsets.Week.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.weekofmonth method)": [[2111, "pandas.tseries.offsets.WeekOfMonth.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.yearbegin method)": [[2130, "pandas.tseries.offsets.YearBegin.is_anchored", false]], "is_anchored() (pandas.tseries.offsets.yearend method)": [[2148, "pandas.tseries.offsets.YearEnd.is_anchored", false]], "is_any_real_numeric_dtype() (in module pandas.api.types)": [[1079, "pandas.api.types.is_any_real_numeric_dtype", false]], "is_bool() (in module pandas.api.types)": [[1080, "pandas.api.types.is_bool", false]], "is_bool_dtype() (in module pandas.api.types)": [[1081, "pandas.api.types.is_bool_dtype", false]], "is_boolean() (pandas.index method)": [[391, "pandas.Index.is_boolean", false]], "is_categorical() (pandas.index method)": [[392, "pandas.Index.is_categorical", false]], "is_categorical_dtype() (in module pandas.api.types)": [[1082, "pandas.api.types.is_categorical_dtype", false]], "is_complex() (in module pandas.api.types)": [[1083, "pandas.api.types.is_complex", false]], "is_complex_dtype() (in module pandas.api.types)": [[1084, "pandas.api.types.is_complex_dtype", false]], "is_datetime64_any_dtype() (in module pandas.api.types)": [[1085, "pandas.api.types.is_datetime64_any_dtype", false]], "is_datetime64_dtype() (in module pandas.api.types)": [[1086, "pandas.api.types.is_datetime64_dtype", false]], "is_datetime64_ns_dtype() (in module pandas.api.types)": [[1087, "pandas.api.types.is_datetime64_ns_dtype", false]], "is_datetime64tz_dtype() (in module pandas.api.types)": [[1088, "pandas.api.types.is_datetime64tz_dtype", false]], "is_dict_like() (in module pandas.api.types)": [[1089, "pandas.api.types.is_dict_like", false]], "is_empty (pandas.arrays.intervalarray attribute)": [[1131, "pandas.arrays.IntervalArray.is_empty", false]], "is_empty (pandas.interval attribute)": [[449, "pandas.Interval.is_empty", false]], "is_empty (pandas.intervalindex property)": [[467, "pandas.IntervalIndex.is_empty", false]], "is_extension_array_dtype() (in module pandas.api.types)": [[1090, "pandas.api.types.is_extension_array_dtype", false]], "is_file_like() (in module pandas.api.types)": [[1091, "pandas.api.types.is_file_like", false]], "is_float() (in module pandas.api.types)": [[1092, "pandas.api.types.is_float", false]], "is_float_dtype() (in module pandas.api.types)": [[1093, "pandas.api.types.is_float_dtype", false]], "is_floating() (pandas.index method)": [[393, "pandas.Index.is_floating", false]], "is_hashable() (in module pandas.api.types)": [[1094, "pandas.api.types.is_hashable", false]], "is_int64_dtype() (in module pandas.api.types)": [[1095, "pandas.api.types.is_int64_dtype", false]], "is_integer() (in module pandas.api.types)": [[1096, "pandas.api.types.is_integer", false]], "is_integer() (pandas.index method)": [[394, "pandas.Index.is_integer", false]], "is_integer_dtype() (in module pandas.api.types)": [[1097, "pandas.api.types.is_integer_dtype", false]], "is_interval() (in module pandas.api.types)": [[1098, "pandas.api.types.is_interval", false]], "is_interval() (pandas.index method)": [[395, "pandas.Index.is_interval", false]], "is_interval_dtype() (in module pandas.api.types)": [[1099, "pandas.api.types.is_interval_dtype", false]], "is_iterator() (in module pandas.api.types)": [[1100, "pandas.api.types.is_iterator", false]], "is_leap_year (pandas.datetimeindex property)": [[303, "pandas.DatetimeIndex.is_leap_year", false]], "is_leap_year (pandas.period attribute)": [[523, "pandas.Period.is_leap_year", false]], "is_leap_year (pandas.periodindex property)": [[555, "pandas.PeriodIndex.is_leap_year", false]], "is_leap_year (pandas.series.dt attribute)": [[655, "pandas.Series.dt.is_leap_year", false]], "is_leap_year (pandas.timestamp attribute)": [[975, "pandas.Timestamp.is_leap_year", false]], "is_list_like() (in module pandas.api.types)": [[1101, "pandas.api.types.is_list_like", false]], "is_monotonic_decreasing (pandas.core.groupby.seriesgroupby property)": [[1234, "pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing", false]], "is_monotonic_decreasing (pandas.index property)": [[396, "pandas.Index.is_monotonic_decreasing", false]], "is_monotonic_decreasing (pandas.series property)": [[721, "pandas.Series.is_monotonic_decreasing", false]], "is_monotonic_increasing (pandas.core.groupby.seriesgroupby property)": [[1235, "pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing", false]], "is_monotonic_increasing (pandas.index property)": [[397, "pandas.Index.is_monotonic_increasing", false]], "is_monotonic_increasing (pandas.series property)": [[722, "pandas.Series.is_monotonic_increasing", false]], "is_month_end (pandas.datetimeindex property)": [[304, "pandas.DatetimeIndex.is_month_end", false]], "is_month_end (pandas.series.dt attribute)": [[656, "pandas.Series.dt.is_month_end", false]], "is_month_end (pandas.timestamp attribute)": [[976, "pandas.Timestamp.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.bquarterbegin method)": [[1510, "pandas.tseries.offsets.BQuarterBegin.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.bquarterend method)": [[1528, "pandas.tseries.offsets.BQuarterEnd.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.businessday method)": [[1584, "pandas.tseries.offsets.BusinessDay.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.businesshour method)": [[1605, "pandas.tseries.offsets.BusinessHour.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.businessmonthbegin method)": [[1624, "pandas.tseries.offsets.BusinessMonthBegin.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.businessmonthend method)": [[1641, "pandas.tseries.offsets.BusinessMonthEnd.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.byearbegin method)": [[1546, "pandas.tseries.offsets.BYearBegin.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.byearend method)": [[1564, "pandas.tseries.offsets.BYearEnd.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.custombusinessday method)": [[1663, "pandas.tseries.offsets.CustomBusinessDay.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.custombusinesshour method)": [[1684, "pandas.tseries.offsets.CustomBusinessHour.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.custombusinessmonthbegin method)": [[1705, "pandas.tseries.offsets.CustomBusinessMonthBegin.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.custombusinessmonthend method)": [[1726, "pandas.tseries.offsets.CustomBusinessMonthEnd.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.dateoffset method)": [[1745, "pandas.tseries.offsets.DateOffset.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.day method)": [[1763, "pandas.tseries.offsets.Day.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.easter method)": [[1780, "pandas.tseries.offsets.Easter.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.fy5253 method)": [[1799, "pandas.tseries.offsets.FY5253.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.fy5253quarter method)": [[1821, "pandas.tseries.offsets.FY5253Quarter.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.hour method)": [[1844, "pandas.tseries.offsets.Hour.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.lastweekofmonth method)": [[1861, "pandas.tseries.offsets.LastWeekOfMonth.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.micro method)": [[1881, "pandas.tseries.offsets.Micro.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.milli method)": [[1899, "pandas.tseries.offsets.Milli.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.minute method)": [[1917, "pandas.tseries.offsets.Minute.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.monthbegin method)": [[1934, "pandas.tseries.offsets.MonthBegin.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.monthend method)": [[1951, "pandas.tseries.offsets.MonthEnd.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.nano method)": [[1969, "pandas.tseries.offsets.Nano.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.quarterbegin method)": [[1986, "pandas.tseries.offsets.QuarterBegin.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.quarterend method)": [[2004, "pandas.tseries.offsets.QuarterEnd.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.second method)": [[2023, "pandas.tseries.offsets.Second.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.semimonthbegin method)": [[2041, "pandas.tseries.offsets.SemiMonthBegin.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.semimonthend method)": [[2059, "pandas.tseries.offsets.SemiMonthEnd.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.tick method)": [[2077, "pandas.tseries.offsets.Tick.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.week method)": [[2094, "pandas.tseries.offsets.Week.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.weekofmonth method)": [[2112, "pandas.tseries.offsets.WeekOfMonth.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.yearbegin method)": [[2131, "pandas.tseries.offsets.YearBegin.is_month_end", false]], "is_month_end() (pandas.tseries.offsets.yearend method)": [[2149, "pandas.tseries.offsets.YearEnd.is_month_end", false]], "is_month_start (pandas.datetimeindex property)": [[305, "pandas.DatetimeIndex.is_month_start", false]], "is_month_start (pandas.series.dt attribute)": [[657, "pandas.Series.dt.is_month_start", false]], "is_month_start (pandas.timestamp attribute)": [[977, "pandas.Timestamp.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.bquarterbegin method)": [[1511, "pandas.tseries.offsets.BQuarterBegin.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.bquarterend method)": [[1529, "pandas.tseries.offsets.BQuarterEnd.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.businessday method)": [[1585, "pandas.tseries.offsets.BusinessDay.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.businesshour method)": [[1606, "pandas.tseries.offsets.BusinessHour.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.businessmonthbegin method)": [[1625, "pandas.tseries.offsets.BusinessMonthBegin.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.businessmonthend method)": [[1642, "pandas.tseries.offsets.BusinessMonthEnd.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.byearbegin method)": [[1547, "pandas.tseries.offsets.BYearBegin.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.byearend method)": [[1565, "pandas.tseries.offsets.BYearEnd.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.custombusinessday method)": [[1664, "pandas.tseries.offsets.CustomBusinessDay.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.custombusinesshour method)": [[1685, "pandas.tseries.offsets.CustomBusinessHour.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.custombusinessmonthbegin method)": [[1706, "pandas.tseries.offsets.CustomBusinessMonthBegin.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.custombusinessmonthend method)": [[1727, "pandas.tseries.offsets.CustomBusinessMonthEnd.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.dateoffset method)": [[1746, "pandas.tseries.offsets.DateOffset.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.day method)": [[1764, "pandas.tseries.offsets.Day.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.easter method)": [[1781, "pandas.tseries.offsets.Easter.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.fy5253 method)": [[1800, "pandas.tseries.offsets.FY5253.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.fy5253quarter method)": [[1822, "pandas.tseries.offsets.FY5253Quarter.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.hour method)": [[1845, "pandas.tseries.offsets.Hour.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.lastweekofmonth method)": [[1862, "pandas.tseries.offsets.LastWeekOfMonth.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.micro method)": [[1882, "pandas.tseries.offsets.Micro.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.milli method)": [[1900, "pandas.tseries.offsets.Milli.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.minute method)": [[1918, "pandas.tseries.offsets.Minute.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.monthbegin method)": [[1935, "pandas.tseries.offsets.MonthBegin.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.monthend method)": [[1952, "pandas.tseries.offsets.MonthEnd.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.nano method)": [[1970, "pandas.tseries.offsets.Nano.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.quarterbegin method)": [[1987, "pandas.tseries.offsets.QuarterBegin.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.quarterend method)": [[2005, "pandas.tseries.offsets.QuarterEnd.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.second method)": [[2024, "pandas.tseries.offsets.Second.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.semimonthbegin method)": [[2042, "pandas.tseries.offsets.SemiMonthBegin.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.semimonthend method)": [[2060, "pandas.tseries.offsets.SemiMonthEnd.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.tick method)": [[2078, "pandas.tseries.offsets.Tick.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.week method)": [[2095, "pandas.tseries.offsets.Week.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.weekofmonth method)": [[2113, "pandas.tseries.offsets.WeekOfMonth.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.yearbegin method)": [[2132, "pandas.tseries.offsets.YearBegin.is_month_start", false]], "is_month_start() (pandas.tseries.offsets.yearend method)": [[2150, "pandas.tseries.offsets.YearEnd.is_month_start", false]], "is_named_tuple() (in module pandas.api.types)": [[1102, "pandas.api.types.is_named_tuple", false]], "is_non_overlapping_monotonic (pandas.arrays.intervalarray property)": [[1132, "pandas.arrays.IntervalArray.is_non_overlapping_monotonic", false]], "is_non_overlapping_monotonic (pandas.intervalindex attribute)": [[468, "pandas.IntervalIndex.is_non_overlapping_monotonic", false]], "is_number() (in module pandas.api.types)": [[1103, "pandas.api.types.is_number", false]], "is_numeric() (pandas.index method)": [[398, "pandas.Index.is_numeric", false]], "is_numeric_dtype() (in module pandas.api.types)": [[1104, "pandas.api.types.is_numeric_dtype", false]], "is_object() (pandas.index method)": [[399, "pandas.Index.is_object", false]], "is_object_dtype() (in module pandas.api.types)": [[1105, "pandas.api.types.is_object_dtype", false]], "is_on_offset() (pandas.tseries.offsets.bquarterbegin method)": [[1512, "pandas.tseries.offsets.BQuarterBegin.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.bquarterend method)": [[1530, "pandas.tseries.offsets.BQuarterEnd.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.businessday method)": [[1586, "pandas.tseries.offsets.BusinessDay.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.businesshour method)": [[1607, "pandas.tseries.offsets.BusinessHour.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.businessmonthbegin method)": [[1626, "pandas.tseries.offsets.BusinessMonthBegin.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.businessmonthend method)": [[1643, "pandas.tseries.offsets.BusinessMonthEnd.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.byearbegin method)": [[1548, "pandas.tseries.offsets.BYearBegin.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.byearend method)": [[1566, "pandas.tseries.offsets.BYearEnd.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.custombusinessday method)": [[1665, "pandas.tseries.offsets.CustomBusinessDay.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.custombusinesshour method)": [[1686, "pandas.tseries.offsets.CustomBusinessHour.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.custombusinessmonthbegin method)": [[1707, "pandas.tseries.offsets.CustomBusinessMonthBegin.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.custombusinessmonthend method)": [[1728, "pandas.tseries.offsets.CustomBusinessMonthEnd.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.dateoffset method)": [[1747, "pandas.tseries.offsets.DateOffset.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.day method)": [[1765, "pandas.tseries.offsets.Day.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.easter method)": [[1782, "pandas.tseries.offsets.Easter.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.fy5253 method)": [[1801, "pandas.tseries.offsets.FY5253.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.fy5253quarter method)": [[1823, "pandas.tseries.offsets.FY5253Quarter.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.hour method)": [[1846, "pandas.tseries.offsets.Hour.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.lastweekofmonth method)": [[1863, "pandas.tseries.offsets.LastWeekOfMonth.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.micro method)": [[1883, "pandas.tseries.offsets.Micro.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.milli method)": [[1901, "pandas.tseries.offsets.Milli.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.minute method)": [[1919, "pandas.tseries.offsets.Minute.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.monthbegin method)": [[1936, "pandas.tseries.offsets.MonthBegin.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.monthend method)": [[1953, "pandas.tseries.offsets.MonthEnd.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.nano method)": [[1971, "pandas.tseries.offsets.Nano.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.quarterbegin method)": [[1988, "pandas.tseries.offsets.QuarterBegin.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.quarterend method)": [[2006, "pandas.tseries.offsets.QuarterEnd.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.second method)": [[2025, "pandas.tseries.offsets.Second.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.semimonthbegin method)": [[2043, "pandas.tseries.offsets.SemiMonthBegin.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.semimonthend method)": [[2061, "pandas.tseries.offsets.SemiMonthEnd.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.tick method)": [[2079, "pandas.tseries.offsets.Tick.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.week method)": [[2096, "pandas.tseries.offsets.Week.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.weekofmonth method)": [[2114, "pandas.tseries.offsets.WeekOfMonth.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.yearbegin method)": [[2133, "pandas.tseries.offsets.YearBegin.is_on_offset", false]], "is_on_offset() (pandas.tseries.offsets.yearend method)": [[2151, "pandas.tseries.offsets.YearEnd.is_on_offset", false]], "is_overlapping (pandas.intervalindex property)": [[469, "pandas.IntervalIndex.is_overlapping", false]], "is_period_dtype() (in module pandas.api.types)": [[1106, "pandas.api.types.is_period_dtype", false]], "is_quarter_end (pandas.datetimeindex property)": [[306, "pandas.DatetimeIndex.is_quarter_end", false]], "is_quarter_end (pandas.series.dt attribute)": [[658, "pandas.Series.dt.is_quarter_end", false]], "is_quarter_end (pandas.timestamp attribute)": [[978, "pandas.Timestamp.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.bquarterbegin method)": [[1513, "pandas.tseries.offsets.BQuarterBegin.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.bquarterend method)": [[1531, "pandas.tseries.offsets.BQuarterEnd.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.businessday method)": [[1587, "pandas.tseries.offsets.BusinessDay.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.businesshour method)": [[1608, "pandas.tseries.offsets.BusinessHour.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.businessmonthbegin method)": [[1627, "pandas.tseries.offsets.BusinessMonthBegin.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.businessmonthend method)": [[1644, "pandas.tseries.offsets.BusinessMonthEnd.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.byearbegin method)": [[1549, "pandas.tseries.offsets.BYearBegin.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.byearend method)": [[1567, "pandas.tseries.offsets.BYearEnd.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.custombusinessday method)": [[1666, "pandas.tseries.offsets.CustomBusinessDay.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.custombusinesshour method)": [[1687, "pandas.tseries.offsets.CustomBusinessHour.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.custombusinessmonthbegin method)": [[1708, "pandas.tseries.offsets.CustomBusinessMonthBegin.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.custombusinessmonthend method)": [[1729, "pandas.tseries.offsets.CustomBusinessMonthEnd.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.dateoffset method)": [[1748, "pandas.tseries.offsets.DateOffset.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.day method)": [[1766, "pandas.tseries.offsets.Day.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.easter method)": [[1783, "pandas.tseries.offsets.Easter.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.fy5253 method)": [[1802, "pandas.tseries.offsets.FY5253.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.fy5253quarter method)": [[1824, "pandas.tseries.offsets.FY5253Quarter.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.hour method)": [[1847, "pandas.tseries.offsets.Hour.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.lastweekofmonth method)": [[1864, "pandas.tseries.offsets.LastWeekOfMonth.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.micro method)": [[1884, "pandas.tseries.offsets.Micro.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.milli method)": [[1902, "pandas.tseries.offsets.Milli.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.minute method)": [[1920, "pandas.tseries.offsets.Minute.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.monthbegin method)": [[1937, "pandas.tseries.offsets.MonthBegin.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.monthend method)": [[1954, "pandas.tseries.offsets.MonthEnd.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.nano method)": [[1972, "pandas.tseries.offsets.Nano.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.quarterbegin method)": [[1989, "pandas.tseries.offsets.QuarterBegin.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.quarterend method)": [[2007, "pandas.tseries.offsets.QuarterEnd.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.second method)": [[2026, "pandas.tseries.offsets.Second.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.semimonthbegin method)": [[2044, "pandas.tseries.offsets.SemiMonthBegin.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.semimonthend method)": [[2062, "pandas.tseries.offsets.SemiMonthEnd.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.tick method)": [[2080, "pandas.tseries.offsets.Tick.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.week method)": [[2097, "pandas.tseries.offsets.Week.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.weekofmonth method)": [[2115, "pandas.tseries.offsets.WeekOfMonth.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.yearbegin method)": [[2134, "pandas.tseries.offsets.YearBegin.is_quarter_end", false]], "is_quarter_end() (pandas.tseries.offsets.yearend method)": [[2152, "pandas.tseries.offsets.YearEnd.is_quarter_end", false]], "is_quarter_start (pandas.datetimeindex property)": [[307, "pandas.DatetimeIndex.is_quarter_start", false]], "is_quarter_start (pandas.series.dt attribute)": [[659, "pandas.Series.dt.is_quarter_start", false]], "is_quarter_start (pandas.timestamp attribute)": [[979, "pandas.Timestamp.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.bquarterbegin method)": [[1514, "pandas.tseries.offsets.BQuarterBegin.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.bquarterend method)": [[1532, "pandas.tseries.offsets.BQuarterEnd.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.businessday method)": [[1588, "pandas.tseries.offsets.BusinessDay.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.businesshour method)": [[1609, "pandas.tseries.offsets.BusinessHour.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.businessmonthbegin method)": [[1628, "pandas.tseries.offsets.BusinessMonthBegin.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.businessmonthend method)": [[1645, "pandas.tseries.offsets.BusinessMonthEnd.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.byearbegin method)": [[1550, "pandas.tseries.offsets.BYearBegin.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.byearend method)": [[1568, "pandas.tseries.offsets.BYearEnd.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.custombusinessday method)": [[1667, "pandas.tseries.offsets.CustomBusinessDay.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.custombusinesshour method)": [[1688, "pandas.tseries.offsets.CustomBusinessHour.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.custombusinessmonthbegin method)": [[1709, "pandas.tseries.offsets.CustomBusinessMonthBegin.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.custombusinessmonthend method)": [[1730, "pandas.tseries.offsets.CustomBusinessMonthEnd.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.dateoffset method)": [[1749, "pandas.tseries.offsets.DateOffset.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.day method)": [[1767, "pandas.tseries.offsets.Day.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.easter method)": [[1784, "pandas.tseries.offsets.Easter.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.fy5253 method)": [[1803, "pandas.tseries.offsets.FY5253.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.fy5253quarter method)": [[1825, "pandas.tseries.offsets.FY5253Quarter.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.hour method)": [[1848, "pandas.tseries.offsets.Hour.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.lastweekofmonth method)": [[1865, "pandas.tseries.offsets.LastWeekOfMonth.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.micro method)": [[1885, "pandas.tseries.offsets.Micro.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.milli method)": [[1903, "pandas.tseries.offsets.Milli.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.minute method)": [[1921, "pandas.tseries.offsets.Minute.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.monthbegin method)": [[1938, "pandas.tseries.offsets.MonthBegin.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.monthend method)": [[1955, "pandas.tseries.offsets.MonthEnd.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.nano method)": [[1973, "pandas.tseries.offsets.Nano.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.quarterbegin method)": [[1990, "pandas.tseries.offsets.QuarterBegin.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.quarterend method)": [[2008, "pandas.tseries.offsets.QuarterEnd.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.second method)": [[2027, "pandas.tseries.offsets.Second.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.semimonthbegin method)": [[2045, "pandas.tseries.offsets.SemiMonthBegin.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.semimonthend method)": [[2063, "pandas.tseries.offsets.SemiMonthEnd.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.tick method)": [[2081, "pandas.tseries.offsets.Tick.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.week method)": [[2098, "pandas.tseries.offsets.Week.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.weekofmonth method)": [[2116, "pandas.tseries.offsets.WeekOfMonth.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.yearbegin method)": [[2135, "pandas.tseries.offsets.YearBegin.is_quarter_start", false]], "is_quarter_start() (pandas.tseries.offsets.yearend method)": [[2153, "pandas.tseries.offsets.YearEnd.is_quarter_start", false]], "is_re() (in module pandas.api.types)": [[1107, "pandas.api.types.is_re", false]], "is_re_compilable() (in module pandas.api.types)": [[1108, "pandas.api.types.is_re_compilable", false]], "is_scalar() (in module pandas.api.types)": [[1109, "pandas.api.types.is_scalar", false]], "is_signed_integer_dtype() (in module pandas.api.types)": [[1110, "pandas.api.types.is_signed_integer_dtype", false]], "is_sparse() (in module pandas.api.types)": [[1111, "pandas.api.types.is_sparse", false]], "is_string_dtype() (in module pandas.api.types)": [[1112, "pandas.api.types.is_string_dtype", false]], "is_timedelta64_dtype() (in module pandas.api.types)": [[1113, "pandas.api.types.is_timedelta64_dtype", false]], "is_timedelta64_ns_dtype() (in module pandas.api.types)": [[1114, "pandas.api.types.is_timedelta64_ns_dtype", false]], "is_unique (pandas.index attribute)": [[400, "pandas.Index.is_unique", false]], "is_unique (pandas.series property)": [[723, "pandas.Series.is_unique", false]], "is_unsigned_integer_dtype() (in module pandas.api.types)": [[1115, "pandas.api.types.is_unsigned_integer_dtype", false]], "is_year_end (pandas.datetimeindex property)": [[308, "pandas.DatetimeIndex.is_year_end", false]], "is_year_end (pandas.series.dt attribute)": [[660, "pandas.Series.dt.is_year_end", false]], "is_year_end (pandas.timestamp attribute)": [[980, "pandas.Timestamp.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.bquarterbegin method)": [[1515, "pandas.tseries.offsets.BQuarterBegin.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.bquarterend method)": [[1533, "pandas.tseries.offsets.BQuarterEnd.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.businessday method)": [[1589, "pandas.tseries.offsets.BusinessDay.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.businesshour method)": [[1610, "pandas.tseries.offsets.BusinessHour.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.businessmonthbegin method)": [[1629, "pandas.tseries.offsets.BusinessMonthBegin.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.businessmonthend method)": [[1646, "pandas.tseries.offsets.BusinessMonthEnd.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.byearbegin method)": [[1551, "pandas.tseries.offsets.BYearBegin.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.byearend method)": [[1569, "pandas.tseries.offsets.BYearEnd.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.custombusinessday method)": [[1668, "pandas.tseries.offsets.CustomBusinessDay.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.custombusinesshour method)": [[1689, "pandas.tseries.offsets.CustomBusinessHour.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.custombusinessmonthbegin method)": [[1710, "pandas.tseries.offsets.CustomBusinessMonthBegin.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.custombusinessmonthend method)": [[1731, "pandas.tseries.offsets.CustomBusinessMonthEnd.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.dateoffset method)": [[1750, "pandas.tseries.offsets.DateOffset.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.day method)": [[1768, "pandas.tseries.offsets.Day.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.easter method)": [[1785, "pandas.tseries.offsets.Easter.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.fy5253 method)": [[1804, "pandas.tseries.offsets.FY5253.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.fy5253quarter method)": [[1826, "pandas.tseries.offsets.FY5253Quarter.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.hour method)": [[1849, "pandas.tseries.offsets.Hour.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.lastweekofmonth method)": [[1866, "pandas.tseries.offsets.LastWeekOfMonth.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.micro method)": [[1886, "pandas.tseries.offsets.Micro.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.milli method)": [[1904, "pandas.tseries.offsets.Milli.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.minute method)": [[1922, "pandas.tseries.offsets.Minute.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.monthbegin method)": [[1939, "pandas.tseries.offsets.MonthBegin.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.monthend method)": [[1956, "pandas.tseries.offsets.MonthEnd.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.nano method)": [[1974, "pandas.tseries.offsets.Nano.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.quarterbegin method)": [[1991, "pandas.tseries.offsets.QuarterBegin.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.quarterend method)": [[2009, "pandas.tseries.offsets.QuarterEnd.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.second method)": [[2028, "pandas.tseries.offsets.Second.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.semimonthbegin method)": [[2046, "pandas.tseries.offsets.SemiMonthBegin.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.semimonthend method)": [[2064, "pandas.tseries.offsets.SemiMonthEnd.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.tick method)": [[2082, "pandas.tseries.offsets.Tick.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.week method)": [[2099, "pandas.tseries.offsets.Week.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.weekofmonth method)": [[2117, "pandas.tseries.offsets.WeekOfMonth.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.yearbegin method)": [[2136, "pandas.tseries.offsets.YearBegin.is_year_end", false]], "is_year_end() (pandas.tseries.offsets.yearend method)": [[2154, "pandas.tseries.offsets.YearEnd.is_year_end", false]], "is_year_start (pandas.datetimeindex property)": [[309, "pandas.DatetimeIndex.is_year_start", false]], "is_year_start (pandas.series.dt attribute)": [[661, "pandas.Series.dt.is_year_start", false]], "is_year_start (pandas.timestamp attribute)": [[981, "pandas.Timestamp.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.bquarterbegin method)": [[1516, "pandas.tseries.offsets.BQuarterBegin.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.bquarterend method)": [[1534, "pandas.tseries.offsets.BQuarterEnd.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.businessday method)": [[1590, "pandas.tseries.offsets.BusinessDay.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.businesshour method)": [[1611, "pandas.tseries.offsets.BusinessHour.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.businessmonthbegin method)": [[1630, "pandas.tseries.offsets.BusinessMonthBegin.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.businessmonthend method)": [[1647, "pandas.tseries.offsets.BusinessMonthEnd.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.byearbegin method)": [[1552, "pandas.tseries.offsets.BYearBegin.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.byearend method)": [[1570, "pandas.tseries.offsets.BYearEnd.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.custombusinessday method)": [[1669, "pandas.tseries.offsets.CustomBusinessDay.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.custombusinesshour method)": [[1690, "pandas.tseries.offsets.CustomBusinessHour.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.custombusinessmonthbegin method)": [[1711, "pandas.tseries.offsets.CustomBusinessMonthBegin.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.custombusinessmonthend method)": [[1732, "pandas.tseries.offsets.CustomBusinessMonthEnd.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.dateoffset method)": [[1751, "pandas.tseries.offsets.DateOffset.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.day method)": [[1769, "pandas.tseries.offsets.Day.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.easter method)": [[1786, "pandas.tseries.offsets.Easter.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.fy5253 method)": [[1805, "pandas.tseries.offsets.FY5253.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.fy5253quarter method)": [[1827, "pandas.tseries.offsets.FY5253Quarter.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.hour method)": [[1850, "pandas.tseries.offsets.Hour.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.lastweekofmonth method)": [[1867, "pandas.tseries.offsets.LastWeekOfMonth.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.micro method)": [[1887, "pandas.tseries.offsets.Micro.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.milli method)": [[1905, "pandas.tseries.offsets.Milli.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.minute method)": [[1923, "pandas.tseries.offsets.Minute.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.monthbegin method)": [[1940, "pandas.tseries.offsets.MonthBegin.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.monthend method)": [[1957, "pandas.tseries.offsets.MonthEnd.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.nano method)": [[1975, "pandas.tseries.offsets.Nano.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.quarterbegin method)": [[1992, "pandas.tseries.offsets.QuarterBegin.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.quarterend method)": [[2010, "pandas.tseries.offsets.QuarterEnd.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.second method)": [[2029, "pandas.tseries.offsets.Second.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.semimonthbegin method)": [[2047, "pandas.tseries.offsets.SemiMonthBegin.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.semimonthend method)": [[2065, "pandas.tseries.offsets.SemiMonthEnd.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.tick method)": [[2083, "pandas.tseries.offsets.Tick.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.week method)": [[2100, "pandas.tseries.offsets.Week.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.weekofmonth method)": [[2118, "pandas.tseries.offsets.WeekOfMonth.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.yearbegin method)": [[2137, "pandas.tseries.offsets.YearBegin.is_year_start", false]], "is_year_start() (pandas.tseries.offsets.yearend method)": [[2155, "pandas.tseries.offsets.YearEnd.is_year_start", false]], "isalnum() (pandas.series.str method)": [[836, "pandas.Series.str.isalnum", false]], "isalpha() (pandas.series.str method)": [[837, "pandas.Series.str.isalpha", false]], "isdecimal() (pandas.series.str method)": [[838, "pandas.Series.str.isdecimal", false]], "isdigit() (pandas.series.str method)": [[839, "pandas.Series.str.isdigit", false]], "isin() (pandas.api.extensions.extensionarray method)": [[1055, "pandas.api.extensions.ExtensionArray.isin", false]], "isin() (pandas.dataframe method)": [[147, "pandas.DataFrame.isin", false]], "isin() (pandas.index method)": [[401, "pandas.Index.isin", false]], "isin() (pandas.series method)": [[724, "pandas.Series.isin", false]], "islower() (pandas.series.str method)": [[840, "pandas.Series.str.islower", false]], "isna() (in module pandas)": [[1441, "pandas.isna", false]], "isna() (pandas.api.extensions.extensionarray method)": [[1056, "pandas.api.extensions.ExtensionArray.isna", false]], "isna() (pandas.dataframe method)": [[148, "pandas.DataFrame.isna", false]], "isna() (pandas.index method)": [[402, "pandas.Index.isna", false]], "isna() (pandas.series method)": [[725, "pandas.Series.isna", false]], "isnull() (in module pandas)": [[1442, "pandas.isnull", false]], "isnull() (pandas.dataframe method)": [[149, "pandas.DataFrame.isnull", false]], "isnull() (pandas.series method)": [[726, "pandas.Series.isnull", false]], "isnumeric() (pandas.series.str method)": [[841, "pandas.Series.str.isnumeric", false]], "isocalendar() (pandas.series.dt method)": [[662, "pandas.Series.dt.isocalendar", false]], "isocalendar() (pandas.timestamp method)": [[982, "pandas.Timestamp.isocalendar", false]], "isoformat() (pandas.timedelta method)": [[923, "pandas.Timedelta.isoformat", false]], "isoformat() (pandas.timestamp method)": [[983, "pandas.Timestamp.isoformat", false]], "isoweekday() (pandas.timestamp method)": [[984, "pandas.Timestamp.isoweekday", false]], "isspace() (pandas.series.str method)": [[842, "pandas.Series.str.isspace", false]], "istitle() (pandas.series.str method)": [[843, "pandas.Series.str.istitle", false]], "isupper() (pandas.series.str method)": [[844, "pandas.Series.str.isupper", false]], "item() (pandas.index method)": [[403, "pandas.Index.item", false]], "item() (pandas.series method)": [[727, "pandas.Series.item", false]], "items() (pandas.dataframe method)": [[150, "pandas.DataFrame.items", false]], "items() (pandas.series method)": [[728, "pandas.Series.items", false]], "iterrows() (pandas.dataframe method)": [[151, "pandas.DataFrame.iterrows", false]], "itertuples() (pandas.dataframe method)": [[152, "pandas.DataFrame.itertuples", false]], "join() (pandas.dataframe method)": [[153, "pandas.DataFrame.join", false]], "join() (pandas.index method)": [[404, "pandas.Index.join", false]], "join() (pandas.series.str method)": [[845, "pandas.Series.str.join", false]], "json_normalize() (in module pandas)": [[1443, "pandas.json_normalize", false]], "kde() (pandas.dataframe.plot method)": [[194, "pandas.DataFrame.plot.kde", false]], "kde() (pandas.series.plot method)": [[769, "pandas.Series.plot.kde", false]], "keys() (pandas.dataframe method)": [[154, "pandas.DataFrame.keys", false]], "keys() (pandas.hdfstore method)": [[350, "pandas.HDFStore.keys", false]], "keys() (pandas.series method)": [[729, "pandas.Series.keys", false]], "kurt() (pandas.core.window.expanding.expanding method)": [[1309, "pandas.core.window.expanding.Expanding.kurt", false]], "kurt() (pandas.core.window.rolling.rolling method)": [[1326, "pandas.core.window.rolling.Rolling.kurt", false]], "kurt() (pandas.dataframe method)": [[155, "pandas.DataFrame.kurt", false]], "kurt() (pandas.series method)": [[730, "pandas.Series.kurt", false]], "kurtosis() (pandas.dataframe method)": [[156, "pandas.DataFrame.kurtosis", false]], "kurtosis() (pandas.series method)": [[731, "pandas.Series.kurtosis", false]], "kwds (pandas.tseries.offsets.bquarterbegin attribute)": [[1517, "pandas.tseries.offsets.BQuarterBegin.kwds", false]], "kwds (pandas.tseries.offsets.bquarterend attribute)": [[1535, "pandas.tseries.offsets.BQuarterEnd.kwds", false]], "kwds (pandas.tseries.offsets.businessday attribute)": [[1591, "pandas.tseries.offsets.BusinessDay.kwds", false]], "kwds (pandas.tseries.offsets.businesshour attribute)": [[1612, "pandas.tseries.offsets.BusinessHour.kwds", false]], "kwds (pandas.tseries.offsets.businessmonthbegin attribute)": [[1631, "pandas.tseries.offsets.BusinessMonthBegin.kwds", false]], "kwds (pandas.tseries.offsets.businessmonthend attribute)": [[1648, "pandas.tseries.offsets.BusinessMonthEnd.kwds", false]], "kwds (pandas.tseries.offsets.byearbegin attribute)": [[1553, "pandas.tseries.offsets.BYearBegin.kwds", false]], "kwds (pandas.tseries.offsets.byearend attribute)": [[1571, "pandas.tseries.offsets.BYearEnd.kwds", false]], "kwds (pandas.tseries.offsets.custombusinessday attribute)": [[1670, "pandas.tseries.offsets.CustomBusinessDay.kwds", false]], "kwds (pandas.tseries.offsets.custombusinesshour attribute)": [[1691, "pandas.tseries.offsets.CustomBusinessHour.kwds", false]], "kwds (pandas.tseries.offsets.custombusinessmonthbegin attribute)": [[1712, "pandas.tseries.offsets.CustomBusinessMonthBegin.kwds", false]], "kwds (pandas.tseries.offsets.custombusinessmonthend attribute)": [[1733, "pandas.tseries.offsets.CustomBusinessMonthEnd.kwds", false]], "kwds (pandas.tseries.offsets.dateoffset attribute)": [[1752, "pandas.tseries.offsets.DateOffset.kwds", false]], "kwds (pandas.tseries.offsets.day attribute)": [[1770, "pandas.tseries.offsets.Day.kwds", false]], "kwds (pandas.tseries.offsets.easter attribute)": [[1787, "pandas.tseries.offsets.Easter.kwds", false]], "kwds (pandas.tseries.offsets.fy5253 attribute)": [[1806, "pandas.tseries.offsets.FY5253.kwds", false]], "kwds (pandas.tseries.offsets.fy5253quarter attribute)": [[1828, "pandas.tseries.offsets.FY5253Quarter.kwds", false]], "kwds (pandas.tseries.offsets.hour attribute)": [[1851, "pandas.tseries.offsets.Hour.kwds", false]], "kwds (pandas.tseries.offsets.lastweekofmonth attribute)": [[1868, "pandas.tseries.offsets.LastWeekOfMonth.kwds", false]], "kwds (pandas.tseries.offsets.micro attribute)": [[1888, "pandas.tseries.offsets.Micro.kwds", false]], "kwds (pandas.tseries.offsets.milli attribute)": [[1906, "pandas.tseries.offsets.Milli.kwds", false]], "kwds (pandas.tseries.offsets.minute attribute)": [[1924, "pandas.tseries.offsets.Minute.kwds", false]], "kwds (pandas.tseries.offsets.monthbegin attribute)": [[1941, "pandas.tseries.offsets.MonthBegin.kwds", false]], "kwds (pandas.tseries.offsets.monthend attribute)": [[1958, "pandas.tseries.offsets.MonthEnd.kwds", false]], "kwds (pandas.tseries.offsets.nano attribute)": [[1976, "pandas.tseries.offsets.Nano.kwds", false]], "kwds (pandas.tseries.offsets.quarterbegin attribute)": [[1993, "pandas.tseries.offsets.QuarterBegin.kwds", false]], "kwds (pandas.tseries.offsets.quarterend attribute)": [[2011, "pandas.tseries.offsets.QuarterEnd.kwds", false]], "kwds (pandas.tseries.offsets.second attribute)": [[2030, "pandas.tseries.offsets.Second.kwds", false]], "kwds (pandas.tseries.offsets.semimonthbegin attribute)": [[2048, "pandas.tseries.offsets.SemiMonthBegin.kwds", false]], "kwds (pandas.tseries.offsets.semimonthend attribute)": [[2066, "pandas.tseries.offsets.SemiMonthEnd.kwds", false]], "kwds (pandas.tseries.offsets.tick attribute)": [[2084, "pandas.tseries.offsets.Tick.kwds", false]], "kwds (pandas.tseries.offsets.week attribute)": [[2101, "pandas.tseries.offsets.Week.kwds", false]], "kwds (pandas.tseries.offsets.weekofmonth attribute)": [[2119, "pandas.tseries.offsets.WeekOfMonth.kwds", false]], "kwds (pandas.tseries.offsets.yearbegin attribute)": [[2138, "pandas.tseries.offsets.YearBegin.kwds", false]], "kwds (pandas.tseries.offsets.yearend attribute)": [[2156, "pandas.tseries.offsets.YearEnd.kwds", false]], "lag_plot() (in module pandas.plotting)": [[1460, "pandas.plotting.lag_plot", false]], "last() (pandas.core.groupby.dataframegroupby method)": [[1177, "pandas.core.groupby.DataFrameGroupBy.last", false]], "last() (pandas.core.groupby.seriesgroupby method)": [[1236, "pandas.core.groupby.SeriesGroupBy.last", false]], "last() (pandas.core.resample.resampler method)": [[1281, "pandas.core.resample.Resampler.last", false]], "last() (pandas.dataframe method)": [[157, "pandas.DataFrame.last", false]], "last() (pandas.series method)": [[732, "pandas.Series.last", false]], "last_valid_index() (pandas.dataframe method)": [[158, "pandas.DataFrame.last_valid_index", false]], "last_valid_index() (pandas.series method)": [[733, "pandas.Series.last_valid_index", false]], "lastweekofmonth (class in pandas.tseries.offsets)": [[1857, "pandas.tseries.offsets.LastWeekOfMonth", false]], "le() (pandas.dataframe method)": [[159, "pandas.DataFrame.le", false]], "le() (pandas.series method)": [[734, "pandas.Series.le", false]], "left (pandas.arrays.intervalarray property)": [[1133, "pandas.arrays.IntervalArray.left", false]], "left (pandas.interval attribute)": [[450, "pandas.Interval.left", false]], "left (pandas.intervalindex attribute)": [[470, "pandas.IntervalIndex.left", false]], "len() (pandas.series.list method)": [[737, "pandas.Series.list.len", false]], "len() (pandas.series.str method)": [[846, "pandas.Series.str.len", false]], "length (pandas.arrays.intervalarray property)": [[1134, "pandas.arrays.IntervalArray.length", false]], "length (pandas.interval attribute)": [[451, "pandas.Interval.length", false]], "length (pandas.intervalindex property)": [[471, "pandas.IntervalIndex.length", false]], "levels (pandas.multiindex attribute)": [[494, "pandas.MultiIndex.levels", false]], "levshape (pandas.multiindex property)": [[495, "pandas.MultiIndex.levshape", false]], "line() (pandas.dataframe.plot method)": [[195, "pandas.DataFrame.plot.line", false]], "line() (pandas.series.plot method)": [[770, "pandas.Series.plot.line", false]], "ljust() (pandas.series.str method)": [[847, "pandas.Series.str.ljust", false]], "loader (pandas.io.formats.style.styler attribute)": [[1412, "pandas.io.formats.style.Styler.loader", false]], "loc (pandas.dataframe property)": [[160, "pandas.DataFrame.loc", false]], "loc (pandas.series property)": [[738, "pandas.Series.loc", false]], "lossysetitemerror": [[1364, "pandas.errors.LossySetitemError", false]], "lower() (pandas.series.str method)": [[848, "pandas.Series.str.lower", false]], "lreshape() (in module pandas)": [[1444, "pandas.lreshape", false]], "lstrip() (pandas.series.str method)": [[849, "pandas.Series.str.lstrip", false]], "lt() (pandas.dataframe method)": [[161, "pandas.DataFrame.lt", false]], "lt() (pandas.series method)": [[739, "pandas.Series.lt", false]], "m_offset (pandas.tseries.offsets.custombusinessmonthbegin attribute)": [[1713, "pandas.tseries.offsets.CustomBusinessMonthBegin.m_offset", false]], "m_offset (pandas.tseries.offsets.custombusinessmonthend attribute)": [[1734, "pandas.tseries.offsets.CustomBusinessMonthEnd.m_offset", false]], "map() (pandas.categoricalindex method)": [[56, "pandas.CategoricalIndex.map", false]], "map() (pandas.dataframe method)": [[162, "pandas.DataFrame.map", false]], "map() (pandas.index method)": [[405, "pandas.Index.map", false]], "map() (pandas.io.formats.style.styler method)": [[1413, "pandas.io.formats.style.Styler.map", false]], "map() (pandas.series method)": [[740, "pandas.Series.map", false]], "map_index() (pandas.io.formats.style.styler method)": [[1414, "pandas.io.formats.style.Styler.map_index", false]], "mask() (pandas.dataframe method)": [[163, "pandas.DataFrame.mask", false]], "mask() (pandas.series method)": [[741, "pandas.Series.mask", false]], "match() (pandas.series.str method)": [[850, "pandas.Series.str.match", false]], "max (pandas.timedelta attribute)": [[924, "pandas.Timedelta.max", false]], "max (pandas.timestamp attribute)": [[985, "pandas.Timestamp.max", false]], "max() (pandas.core.groupby.dataframegroupby method)": [[1178, "pandas.core.groupby.DataFrameGroupBy.max", false]], "max() (pandas.core.groupby.seriesgroupby method)": [[1237, "pandas.core.groupby.SeriesGroupBy.max", false]], "max() (pandas.core.resample.resampler method)": [[1282, "pandas.core.resample.Resampler.max", false]], "max() (pandas.core.window.expanding.expanding method)": [[1310, "pandas.core.window.expanding.Expanding.max", false]], "max() (pandas.core.window.rolling.rolling method)": [[1327, "pandas.core.window.rolling.Rolling.max", false]], "max() (pandas.dataframe method)": [[164, "pandas.DataFrame.max", false]], "max() (pandas.index method)": [[406, "pandas.Index.max", false]], "max() (pandas.series method)": [[742, "pandas.Series.max", false]], "mean() (pandas.core.groupby.dataframegroupby method)": [[1179, "pandas.core.groupby.DataFrameGroupBy.mean", false]], "mean() (pandas.core.groupby.seriesgroupby method)": [[1238, "pandas.core.groupby.SeriesGroupBy.mean", false]], "mean() (pandas.core.resample.resampler method)": [[1283, "pandas.core.resample.Resampler.mean", false]], "mean() (pandas.core.window.ewm.exponentialmovingwindow method)": [[1300, "pandas.core.window.ewm.ExponentialMovingWindow.mean", false]], "mean() (pandas.core.window.expanding.expanding method)": [[1311, "pandas.core.window.expanding.Expanding.mean", false]], "mean() (pandas.core.window.rolling.rolling method)": [[1328, "pandas.core.window.rolling.Rolling.mean", false]], "mean() (pandas.core.window.rolling.window method)": [[1338, "pandas.core.window.rolling.Window.mean", false]], "mean() (pandas.dataframe method)": [[165, "pandas.DataFrame.mean", false]], "mean() (pandas.datetimeindex method)": [[310, "pandas.DatetimeIndex.mean", false]], "mean() (pandas.series method)": [[743, "pandas.Series.mean", false]], "mean() (pandas.timedeltaindex method)": [[945, "pandas.TimedeltaIndex.mean", false]], "median() (pandas.core.groupby.dataframegroupby method)": [[1180, "pandas.core.groupby.DataFrameGroupBy.median", false]], "median() (pandas.core.groupby.seriesgroupby method)": [[1239, "pandas.core.groupby.SeriesGroupBy.median", false]], "median() (pandas.core.resample.resampler method)": [[1284, "pandas.core.resample.Resampler.median", false]], "median() (pandas.core.window.expanding.expanding method)": [[1312, "pandas.core.window.expanding.Expanding.median", false]], "median() (pandas.core.window.rolling.rolling method)": [[1329, "pandas.core.window.rolling.Rolling.median", false]], "median() (pandas.dataframe method)": [[166, "pandas.DataFrame.median", false]], "median() (pandas.series method)": [[744, "pandas.Series.median", false]], "melt() (in module pandas)": [[1445, "pandas.melt", false]], "melt() (pandas.dataframe method)": [[167, "pandas.DataFrame.melt", false]], "memory_usage() (pandas.dataframe method)": [[168, "pandas.DataFrame.memory_usage", false]], "memory_usage() (pandas.index method)": [[407, "pandas.Index.memory_usage", false]], "memory_usage() (pandas.series method)": [[745, "pandas.Series.memory_usage", false]], "merge() (in module pandas)": [[1446, "pandas.merge", false]], "merge() (pandas.dataframe method)": [[169, "pandas.DataFrame.merge", false]], "merge_asof() (in module pandas)": [[1447, "pandas.merge_asof", false]], "merge_ordered() (in module pandas)": [[1448, "pandas.merge_ordered", false]], "mergeerror": [[1365, "pandas.errors.MergeError", false]], "micro (class in pandas.tseries.offsets)": [[1876, "pandas.tseries.offsets.Micro", false]], "microsecond (pandas.datetimeindex property)": [[311, "pandas.DatetimeIndex.microsecond", false]], "microsecond (pandas.series.dt attribute)": [[663, "pandas.Series.dt.microsecond", false]], "microsecond (pandas.timestamp attribute)": [[986, "pandas.Timestamp.microsecond", false]], "microseconds (pandas.series.dt attribute)": [[664, "pandas.Series.dt.microseconds", false]], "microseconds (pandas.timedelta attribute)": [[925, "pandas.Timedelta.microseconds", false]], "microseconds (pandas.timedeltaindex property)": [[946, "pandas.TimedeltaIndex.microseconds", false]], "mid (pandas.arrays.intervalarray property)": [[1135, "pandas.arrays.IntervalArray.mid", false]], "mid (pandas.interval attribute)": [[452, "pandas.Interval.mid", false]], "mid (pandas.intervalindex attribute)": [[472, "pandas.IntervalIndex.mid", false]], "milli (class in pandas.tseries.offsets)": [[1894, "pandas.tseries.offsets.Milli", false]], "min (pandas.timedelta attribute)": [[926, "pandas.Timedelta.min", false]], "min (pandas.timestamp attribute)": [[987, "pandas.Timestamp.min", false]], "min() (pandas.core.groupby.dataframegroupby method)": [[1181, "pandas.core.groupby.DataFrameGroupBy.min", false]], "min() (pandas.core.groupby.seriesgroupby method)": [[1240, "pandas.core.groupby.SeriesGroupBy.min", false]], "min() (pandas.core.resample.resampler method)": [[1285, "pandas.core.resample.Resampler.min", false]], "min() (pandas.core.window.expanding.expanding method)": [[1313, "pandas.core.window.expanding.Expanding.min", false]], "min() (pandas.core.window.rolling.rolling method)": [[1330, "pandas.core.window.rolling.Rolling.min", false]], "min() (pandas.dataframe method)": [[170, "pandas.DataFrame.min", false]], "min() (pandas.index method)": [[408, "pandas.Index.min", false]], "min() (pandas.series method)": [[746, "pandas.Series.min", false]], "minute (class in pandas.tseries.offsets)": [[1912, "pandas.tseries.offsets.Minute", false]], "minute (pandas.datetimeindex property)": [[312, "pandas.DatetimeIndex.minute", false]], "minute (pandas.period attribute)": [[524, "pandas.Period.minute", false]], "minute (pandas.periodindex property)": [[556, "pandas.PeriodIndex.minute", false]], "minute (pandas.series.dt attribute)": [[665, "pandas.Series.dt.minute", false]], "minute (pandas.timestamp attribute)": [[988, "pandas.Timestamp.minute", false]], "mod() (pandas.dataframe method)": [[171, "pandas.DataFrame.mod", false]], "mod() (pandas.series method)": [[747, "pandas.Series.mod", false]], "mode() (pandas.dataframe method)": [[172, "pandas.DataFrame.mode", false]], "mode() (pandas.series method)": [[748, "pandas.Series.mode", false]], "module": [[36, "module-pandas", false]], "month (pandas.datetimeindex property)": [[313, "pandas.DatetimeIndex.month", false]], "month (pandas.period attribute)": [[525, "pandas.Period.month", false]], "month (pandas.periodindex property)": [[557, "pandas.PeriodIndex.month", false]], "month (pandas.series.dt attribute)": [[666, "pandas.Series.dt.month", false]], "month (pandas.timestamp attribute)": [[989, "pandas.Timestamp.month", false]], "month (pandas.tseries.offsets.byearbegin attribute)": [[1554, "pandas.tseries.offsets.BYearBegin.month", false]], "month (pandas.tseries.offsets.byearend attribute)": [[1572, "pandas.tseries.offsets.BYearEnd.month", false]], "month (pandas.tseries.offsets.yearbegin attribute)": [[2139, "pandas.tseries.offsets.YearBegin.month", false]], "month (pandas.tseries.offsets.yearend attribute)": [[2157, "pandas.tseries.offsets.YearEnd.month", false]], "month_name() (pandas.datetimeindex method)": [[314, "pandas.DatetimeIndex.month_name", false]], "month_name() (pandas.series.dt method)": [[667, "pandas.Series.dt.month_name", false]], "month_name() (pandas.timestamp method)": [[990, "pandas.Timestamp.month_name", false]], "monthbegin (class in pandas.tseries.offsets)": [[1930, "pandas.tseries.offsets.MonthBegin", false]], "monthend (class in pandas.tseries.offsets)": [[1947, "pandas.tseries.offsets.MonthEnd", false]], "mul() (pandas.dataframe method)": [[173, "pandas.DataFrame.mul", false]], "mul() (pandas.series method)": [[749, "pandas.Series.mul", false]], "multiindex (class in pandas)": [[478, "pandas.MultiIndex", false]], "n (pandas.tseries.offsets.bquarterbegin attribute)": [[1518, "pandas.tseries.offsets.BQuarterBegin.n", false]], "n (pandas.tseries.offsets.bquarterend attribute)": [[1536, "pandas.tseries.offsets.BQuarterEnd.n", false]], "n (pandas.tseries.offsets.businessday attribute)": [[1592, "pandas.tseries.offsets.BusinessDay.n", false]], "n (pandas.tseries.offsets.businesshour attribute)": [[1613, "pandas.tseries.offsets.BusinessHour.n", false]], "n (pandas.tseries.offsets.businessmonthbegin attribute)": [[1632, "pandas.tseries.offsets.BusinessMonthBegin.n", false]], "n (pandas.tseries.offsets.businessmonthend attribute)": [[1649, "pandas.tseries.offsets.BusinessMonthEnd.n", false]], "n (pandas.tseries.offsets.byearbegin attribute)": [[1555, "pandas.tseries.offsets.BYearBegin.n", false]], "n (pandas.tseries.offsets.byearend attribute)": [[1573, "pandas.tseries.offsets.BYearEnd.n", false]], "n (pandas.tseries.offsets.custombusinessday attribute)": [[1671, "pandas.tseries.offsets.CustomBusinessDay.n", false]], "n (pandas.tseries.offsets.custombusinesshour attribute)": [[1692, "pandas.tseries.offsets.CustomBusinessHour.n", false]], "n (pandas.tseries.offsets.custombusinessmonthbegin attribute)": [[1714, "pandas.tseries.offsets.CustomBusinessMonthBegin.n", false]], "n (pandas.tseries.offsets.custombusinessmonthend attribute)": [[1735, "pandas.tseries.offsets.CustomBusinessMonthEnd.n", false]], "n (pandas.tseries.offsets.dateoffset attribute)": [[1753, "pandas.tseries.offsets.DateOffset.n", false]], "n (pandas.tseries.offsets.day attribute)": [[1771, "pandas.tseries.offsets.Day.n", false]], "n (pandas.tseries.offsets.easter attribute)": [[1788, "pandas.tseries.offsets.Easter.n", false]], "n (pandas.tseries.offsets.fy5253 attribute)": [[1807, "pandas.tseries.offsets.FY5253.n", false]], "n (pandas.tseries.offsets.fy5253quarter attribute)": [[1829, "pandas.tseries.offsets.FY5253Quarter.n", false]], "n (pandas.tseries.offsets.hour attribute)": [[1852, "pandas.tseries.offsets.Hour.n", false]], "n (pandas.tseries.offsets.lastweekofmonth attribute)": [[1869, "pandas.tseries.offsets.LastWeekOfMonth.n", false]], "n (pandas.tseries.offsets.micro attribute)": [[1889, "pandas.tseries.offsets.Micro.n", false]], "n (pandas.tseries.offsets.milli attribute)": [[1907, "pandas.tseries.offsets.Milli.n", false]], "n (pandas.tseries.offsets.minute attribute)": [[1925, "pandas.tseries.offsets.Minute.n", false]], "n (pandas.tseries.offsets.monthbegin attribute)": [[1942, "pandas.tseries.offsets.MonthBegin.n", false]], "n (pandas.tseries.offsets.monthend attribute)": [[1959, "pandas.tseries.offsets.MonthEnd.n", false]], "n (pandas.tseries.offsets.nano attribute)": [[1977, "pandas.tseries.offsets.Nano.n", false]], "n (pandas.tseries.offsets.quarterbegin attribute)": [[1994, "pandas.tseries.offsets.QuarterBegin.n", false]], "n (pandas.tseries.offsets.quarterend attribute)": [[2012, "pandas.tseries.offsets.QuarterEnd.n", false]], "n (pandas.tseries.offsets.second attribute)": [[2031, "pandas.tseries.offsets.Second.n", false]], "n (pandas.tseries.offsets.semimonthbegin attribute)": [[2049, "pandas.tseries.offsets.SemiMonthBegin.n", false]], "n (pandas.tseries.offsets.semimonthend attribute)": [[2067, "pandas.tseries.offsets.SemiMonthEnd.n", false]], "n (pandas.tseries.offsets.tick attribute)": [[2085, "pandas.tseries.offsets.Tick.n", false]], "n (pandas.tseries.offsets.week attribute)": [[2102, "pandas.tseries.offsets.Week.n", false]], "n (pandas.tseries.offsets.weekofmonth attribute)": [[2120, "pandas.tseries.offsets.WeekOfMonth.n", false]], "n (pandas.tseries.offsets.yearbegin attribute)": [[2140, "pandas.tseries.offsets.YearBegin.n", false]], "n (pandas.tseries.offsets.yearend attribute)": [[2158, "pandas.tseries.offsets.YearEnd.n", false]], "na (in module pandas)": [[507, "pandas.NA", false]], "name (pandas.index property)": [[409, "pandas.Index.name", false]], "name (pandas.series property)": [[750, "pandas.Series.name", false]], "name (pandas.tseries.offsets.bquarterbegin attribute)": [[1519, "pandas.tseries.offsets.BQuarterBegin.name", false]], "name (pandas.tseries.offsets.bquarterend attribute)": [[1537, "pandas.tseries.offsets.BQuarterEnd.name", false]], "name (pandas.tseries.offsets.businessday attribute)": [[1593, "pandas.tseries.offsets.BusinessDay.name", false]], "name (pandas.tseries.offsets.businesshour attribute)": [[1614, "pandas.tseries.offsets.BusinessHour.name", false]], "name (pandas.tseries.offsets.businessmonthbegin attribute)": [[1633, "pandas.tseries.offsets.BusinessMonthBegin.name", false]], "name (pandas.tseries.offsets.businessmonthend attribute)": [[1650, "pandas.tseries.offsets.BusinessMonthEnd.name", false]], "name (pandas.tseries.offsets.byearbegin attribute)": [[1556, "pandas.tseries.offsets.BYearBegin.name", false]], "name (pandas.tseries.offsets.byearend attribute)": [[1574, "pandas.tseries.offsets.BYearEnd.name", false]], "name (pandas.tseries.offsets.custombusinessday attribute)": [[1672, "pandas.tseries.offsets.CustomBusinessDay.name", false]], "name (pandas.tseries.offsets.custombusinesshour attribute)": [[1693, "pandas.tseries.offsets.CustomBusinessHour.name", false]], "name (pandas.tseries.offsets.custombusinessmonthbegin attribute)": [[1715, "pandas.tseries.offsets.CustomBusinessMonthBegin.name", false]], "name (pandas.tseries.offsets.custombusinessmonthend attribute)": [[1736, "pandas.tseries.offsets.CustomBusinessMonthEnd.name", false]], "name (pandas.tseries.offsets.dateoffset attribute)": [[1754, "pandas.tseries.offsets.DateOffset.name", false]], "name (pandas.tseries.offsets.day attribute)": [[1772, "pandas.tseries.offsets.Day.name", false]], "name (pandas.tseries.offsets.easter attribute)": [[1789, "pandas.tseries.offsets.Easter.name", false]], "name (pandas.tseries.offsets.fy5253 attribute)": [[1808, "pandas.tseries.offsets.FY5253.name", false]], "name (pandas.tseries.offsets.fy5253quarter attribute)": [[1830, "pandas.tseries.offsets.FY5253Quarter.name", false]], "name (pandas.tseries.offsets.hour attribute)": [[1853, "pandas.tseries.offsets.Hour.name", false]], "name (pandas.tseries.offsets.lastweekofmonth attribute)": [[1870, "pandas.tseries.offsets.LastWeekOfMonth.name", false]], "name (pandas.tseries.offsets.micro attribute)": [[1890, "pandas.tseries.offsets.Micro.name", false]], "name (pandas.tseries.offsets.milli attribute)": [[1908, "pandas.tseries.offsets.Milli.name", false]], "name (pandas.tseries.offsets.minute attribute)": [[1926, "pandas.tseries.offsets.Minute.name", false]], "name (pandas.tseries.offsets.monthbegin attribute)": [[1943, "pandas.tseries.offsets.MonthBegin.name", false]], "name (pandas.tseries.offsets.monthend attribute)": [[1960, "pandas.tseries.offsets.MonthEnd.name", false]], "name (pandas.tseries.offsets.nano attribute)": [[1978, "pandas.tseries.offsets.Nano.name", false]], "name (pandas.tseries.offsets.quarterbegin attribute)": [[1995, "pandas.tseries.offsets.QuarterBegin.name", false]], "name (pandas.tseries.offsets.quarterend attribute)": [[2013, "pandas.tseries.offsets.QuarterEnd.name", false]], "name (pandas.tseries.offsets.second attribute)": [[2032, "pandas.tseries.offsets.Second.name", false]], "name (pandas.tseries.offsets.semimonthbegin attribute)": [[2050, "pandas.tseries.offsets.SemiMonthBegin.name", false]], "name (pandas.tseries.offsets.semimonthend attribute)": [[2068, "pandas.tseries.offsets.SemiMonthEnd.name", false]], "name (pandas.tseries.offsets.tick attribute)": [[2086, "pandas.tseries.offsets.Tick.name", false]], "name (pandas.tseries.offsets.week attribute)": [[2103, "pandas.tseries.offsets.Week.name", false]], "name (pandas.tseries.offsets.weekofmonth attribute)": [[2121, "pandas.tseries.offsets.WeekOfMonth.name", false]], "name (pandas.tseries.offsets.yearbegin attribute)": [[2141, "pandas.tseries.offsets.YearBegin.name", false]], "name (pandas.tseries.offsets.yearend attribute)": [[2159, "pandas.tseries.offsets.YearEnd.name", false]], "namedagg (class in pandas)": [[509, "pandas.NamedAgg", false]], "names (pandas.index property)": [[410, "pandas.Index.names", false]], "names (pandas.multiindex property)": [[496, "pandas.MultiIndex.names", false]], "nano (class in pandas.tseries.offsets)": [[1964, "pandas.tseries.offsets.Nano", false]], "nanos (pandas.tseries.offsets.bquarterbegin attribute)": [[1520, "pandas.tseries.offsets.BQuarterBegin.nanos", false]], "nanos (pandas.tseries.offsets.bquarterend attribute)": [[1538, "pandas.tseries.offsets.BQuarterEnd.nanos", false]], "nanos (pandas.tseries.offsets.businessday attribute)": [[1594, "pandas.tseries.offsets.BusinessDay.nanos", false]], "nanos (pandas.tseries.offsets.businesshour attribute)": [[1615, "pandas.tseries.offsets.BusinessHour.nanos", false]], "nanos (pandas.tseries.offsets.businessmonthbegin attribute)": [[1634, "pandas.tseries.offsets.BusinessMonthBegin.nanos", false]], "nanos (pandas.tseries.offsets.businessmonthend attribute)": [[1651, "pandas.tseries.offsets.BusinessMonthEnd.nanos", false]], "nanos (pandas.tseries.offsets.byearbegin attribute)": [[1557, "pandas.tseries.offsets.BYearBegin.nanos", false]], "nanos (pandas.tseries.offsets.byearend attribute)": [[1575, "pandas.tseries.offsets.BYearEnd.nanos", false]], "nanos (pandas.tseries.offsets.custombusinessday attribute)": [[1673, "pandas.tseries.offsets.CustomBusinessDay.nanos", false]], "nanos (pandas.tseries.offsets.custombusinesshour attribute)": [[1694, "pandas.tseries.offsets.CustomBusinessHour.nanos", false]], "nanos (pandas.tseries.offsets.custombusinessmonthbegin attribute)": [[1716, "pandas.tseries.offsets.CustomBusinessMonthBegin.nanos", false]], "nanos (pandas.tseries.offsets.custombusinessmonthend attribute)": [[1737, "pandas.tseries.offsets.CustomBusinessMonthEnd.nanos", false]], "nanos (pandas.tseries.offsets.dateoffset attribute)": [[1755, "pandas.tseries.offsets.DateOffset.nanos", false]], "nanos (pandas.tseries.offsets.day attribute)": [[1773, "pandas.tseries.offsets.Day.nanos", false]], "nanos (pandas.tseries.offsets.easter attribute)": [[1790, "pandas.tseries.offsets.Easter.nanos", false]], "nanos (pandas.tseries.offsets.fy5253 attribute)": [[1809, "pandas.tseries.offsets.FY5253.nanos", false]], "nanos (pandas.tseries.offsets.fy5253quarter attribute)": [[1831, "pandas.tseries.offsets.FY5253Quarter.nanos", false]], "nanos (pandas.tseries.offsets.hour attribute)": [[1854, "pandas.tseries.offsets.Hour.nanos", false]], "nanos (pandas.tseries.offsets.lastweekofmonth attribute)": [[1871, "pandas.tseries.offsets.LastWeekOfMonth.nanos", false]], "nanos (pandas.tseries.offsets.micro attribute)": [[1891, "pandas.tseries.offsets.Micro.nanos", false]], "nanos (pandas.tseries.offsets.milli attribute)": [[1909, "pandas.tseries.offsets.Milli.nanos", false]], "nanos (pandas.tseries.offsets.minute attribute)": [[1927, "pandas.tseries.offsets.Minute.nanos", false]], "nanos (pandas.tseries.offsets.monthbegin attribute)": [[1944, "pandas.tseries.offsets.MonthBegin.nanos", false]], "nanos (pandas.tseries.offsets.monthend attribute)": [[1961, "pandas.tseries.offsets.MonthEnd.nanos", false]], "nanos (pandas.tseries.offsets.nano attribute)": [[1979, "pandas.tseries.offsets.Nano.nanos", false]], "nanos (pandas.tseries.offsets.quarterbegin attribute)": [[1996, "pandas.tseries.offsets.QuarterBegin.nanos", false]], "nanos (pandas.tseries.offsets.quarterend attribute)": [[2014, "pandas.tseries.offsets.QuarterEnd.nanos", false]], "nanos (pandas.tseries.offsets.second attribute)": [[2033, "pandas.tseries.offsets.Second.nanos", false]], "nanos (pandas.tseries.offsets.semimonthbegin attribute)": [[2051, "pandas.tseries.offsets.SemiMonthBegin.nanos", false]], "nanos (pandas.tseries.offsets.semimonthend attribute)": [[2069, "pandas.tseries.offsets.SemiMonthEnd.nanos", false]], "nanos (pandas.tseries.offsets.tick attribute)": [[2087, "pandas.tseries.offsets.Tick.nanos", false]], "nanos (pandas.tseries.offsets.week attribute)": [[2104, "pandas.tseries.offsets.Week.nanos", false]], "nanos (pandas.tseries.offsets.weekofmonth attribute)": [[2122, "pandas.tseries.offsets.WeekOfMonth.nanos", false]], "nanos (pandas.tseries.offsets.yearbegin attribute)": [[2142, "pandas.tseries.offsets.YearBegin.nanos", false]], "nanos (pandas.tseries.offsets.yearend attribute)": [[2160, "pandas.tseries.offsets.YearEnd.nanos", false]], "nanosecond (pandas.datetimeindex property)": [[315, "pandas.DatetimeIndex.nanosecond", false]], "nanosecond (pandas.series.dt attribute)": [[668, "pandas.Series.dt.nanosecond", false]], "nanosecond (pandas.timestamp attribute)": [[991, "pandas.Timestamp.nanosecond", false]], "nanoseconds (pandas.series.dt attribute)": [[669, "pandas.Series.dt.nanoseconds", false]], "nanoseconds (pandas.timedelta attribute)": [[927, "pandas.Timedelta.nanoseconds", false]], "nanoseconds (pandas.timedeltaindex property)": [[947, "pandas.TimedeltaIndex.nanoseconds", false]], "nat (in module pandas)": [[508, "pandas.NaT", false]], "nbytes (pandas.api.extensions.extensionarray property)": [[1057, "pandas.api.extensions.ExtensionArray.nbytes", false]], "nbytes (pandas.index property)": [[411, "pandas.Index.nbytes", false]], "nbytes (pandas.series property)": [[751, "pandas.Series.nbytes", false]], "ndim (pandas.api.extensions.extensionarray property)": [[1058, "pandas.api.extensions.ExtensionArray.ndim", false]], "ndim (pandas.dataframe property)": [[174, "pandas.DataFrame.ndim", false]], "ndim (pandas.index property)": [[412, "pandas.Index.ndim", false]], "ndim (pandas.series property)": [[752, "pandas.Series.ndim", false]], "ne() (pandas.dataframe method)": [[175, "pandas.DataFrame.ne", false]], "ne() (pandas.series method)": [[753, "pandas.Series.ne", false]], "nearest() (pandas.core.resample.resampler method)": [[1286, "pandas.core.resample.Resampler.nearest", false]], "ngroup() (pandas.core.groupby.dataframegroupby method)": [[1182, "pandas.core.groupby.DataFrameGroupBy.ngroup", false]], "ngroup() (pandas.core.groupby.seriesgroupby method)": [[1241, "pandas.core.groupby.SeriesGroupBy.ngroup", false]], "nlargest() (pandas.core.groupby.seriesgroupby method)": [[1242, "pandas.core.groupby.SeriesGroupBy.nlargest", false]], "nlargest() (pandas.dataframe method)": [[176, "pandas.DataFrame.nlargest", false]], "nlargest() (pandas.series method)": [[754, "pandas.Series.nlargest", false]], "nlevels (pandas.multiindex property)": [[497, "pandas.MultiIndex.nlevels", false]], "nobufferpresent": [[1366, "pandas.errors.NoBufferPresent", false]], "normalize (pandas.tseries.offsets.bquarterbegin attribute)": [[1521, "pandas.tseries.offsets.BQuarterBegin.normalize", false]], "normalize (pandas.tseries.offsets.bquarterend attribute)": [[1539, "pandas.tseries.offsets.BQuarterEnd.normalize", false]], "normalize (pandas.tseries.offsets.businessday attribute)": [[1595, "pandas.tseries.offsets.BusinessDay.normalize", false]], "normalize (pandas.tseries.offsets.businesshour attribute)": [[1616, "pandas.tseries.offsets.BusinessHour.normalize", false]], "normalize (pandas.tseries.offsets.businessmonthbegin attribute)": [[1635, "pandas.tseries.offsets.BusinessMonthBegin.normalize", false]], "normalize (pandas.tseries.offsets.businessmonthend attribute)": [[1652, "pandas.tseries.offsets.BusinessMonthEnd.normalize", false]], "normalize (pandas.tseries.offsets.byearbegin attribute)": [[1558, "pandas.tseries.offsets.BYearBegin.normalize", false]], "normalize (pandas.tseries.offsets.byearend attribute)": [[1576, "pandas.tseries.offsets.BYearEnd.normalize", false]], "normalize (pandas.tseries.offsets.custombusinessday attribute)": [[1674, "pandas.tseries.offsets.CustomBusinessDay.normalize", false]], "normalize (pandas.tseries.offsets.custombusinesshour attribute)": [[1695, "pandas.tseries.offsets.CustomBusinessHour.normalize", false]], "normalize (pandas.tseries.offsets.custombusinessmonthbegin attribute)": [[1717, "pandas.tseries.offsets.CustomBusinessMonthBegin.normalize", false]], "normalize (pandas.tseries.offsets.custombusinessmonthend attribute)": [[1738, "pandas.tseries.offsets.CustomBusinessMonthEnd.normalize", false]], "normalize (pandas.tseries.offsets.dateoffset attribute)": [[1756, "pandas.tseries.offsets.DateOffset.normalize", false]], "normalize (pandas.tseries.offsets.day attribute)": [[1774, "pandas.tseries.offsets.Day.normalize", false]], "normalize (pandas.tseries.offsets.easter attribute)": [[1791, "pandas.tseries.offsets.Easter.normalize", false]], "normalize (pandas.tseries.offsets.fy5253 attribute)": [[1810, "pandas.tseries.offsets.FY5253.normalize", false]], "normalize (pandas.tseries.offsets.fy5253quarter attribute)": [[1832, "pandas.tseries.offsets.FY5253Quarter.normalize", false]], "normalize (pandas.tseries.offsets.hour attribute)": [[1855, "pandas.tseries.offsets.Hour.normalize", false]], "normalize (pandas.tseries.offsets.lastweekofmonth attribute)": [[1872, "pandas.tseries.offsets.LastWeekOfMonth.normalize", false]], "normalize (pandas.tseries.offsets.micro attribute)": [[1892, "pandas.tseries.offsets.Micro.normalize", false]], "normalize (pandas.tseries.offsets.milli attribute)": [[1910, "pandas.tseries.offsets.Milli.normalize", false]], "normalize (pandas.tseries.offsets.minute attribute)": [[1928, "pandas.tseries.offsets.Minute.normalize", false]], "normalize (pandas.tseries.offsets.monthbegin attribute)": [[1945, "pandas.tseries.offsets.MonthBegin.normalize", false]], "normalize (pandas.tseries.offsets.monthend attribute)": [[1962, "pandas.tseries.offsets.MonthEnd.normalize", false]], "normalize (pandas.tseries.offsets.nano attribute)": [[1980, "pandas.tseries.offsets.Nano.normalize", false]], "normalize (pandas.tseries.offsets.quarterbegin attribute)": [[1997, "pandas.tseries.offsets.QuarterBegin.normalize", false]], "normalize (pandas.tseries.offsets.quarterend attribute)": [[2015, "pandas.tseries.offsets.QuarterEnd.normalize", false]], "normalize (pandas.tseries.offsets.second attribute)": [[2034, "pandas.tseries.offsets.Second.normalize", false]], "normalize (pandas.tseries.offsets.semimonthbegin attribute)": [[2052, "pandas.tseries.offsets.SemiMonthBegin.normalize", false]], "normalize (pandas.tseries.offsets.semimonthend attribute)": [[2070, "pandas.tseries.offsets.SemiMonthEnd.normalize", false]], "normalize (pandas.tseries.offsets.tick attribute)": [[2088, "pandas.tseries.offsets.Tick.normalize", false]], "normalize (pandas.tseries.offsets.week attribute)": [[2105, "pandas.tseries.offsets.Week.normalize", false]], "normalize (pandas.tseries.offsets.weekofmonth attribute)": [[2123, "pandas.tseries.offsets.WeekOfMonth.normalize", false]], "normalize (pandas.tseries.offsets.yearbegin attribute)": [[2143, "pandas.tseries.offsets.YearBegin.normalize", false]], "normalize (pandas.tseries.offsets.yearend attribute)": [[2161, "pandas.tseries.offsets.YearEnd.normalize", false]], "normalize() (pandas.datetimeindex method)": [[316, "pandas.DatetimeIndex.normalize", false]], "normalize() (pandas.series.dt method)": [[670, "pandas.Series.dt.normalize", false]], "normalize() (pandas.series.str method)": [[851, "pandas.Series.str.normalize", false]], "normalize() (pandas.timestamp method)": [[992, "pandas.Timestamp.normalize", false]], "notna() (in module pandas)": [[1449, "pandas.notna", false]], "notna() (pandas.dataframe method)": [[177, "pandas.DataFrame.notna", false]], "notna() (pandas.index method)": [[413, "pandas.Index.notna", false]], "notna() (pandas.series method)": [[755, "pandas.Series.notna", false]], "notnull() (in module pandas)": [[1450, "pandas.notnull", false]], "notnull() (pandas.dataframe method)": [[178, "pandas.DataFrame.notnull", false]], "notnull() (pandas.series method)": [[756, "pandas.Series.notnull", false]], "now() (pandas.period class method)": [[526, "pandas.Period.now", false]], "now() (pandas.timestamp class method)": [[993, "pandas.Timestamp.now", false]], "npoints (pandas.series.sparse attribute)": [[813, "pandas.Series.sparse.npoints", false]], "nsmallest() (pandas.core.groupby.seriesgroupby method)": [[1243, "pandas.core.groupby.SeriesGroupBy.nsmallest", false]], "nsmallest() (pandas.dataframe method)": [[179, "pandas.DataFrame.nsmallest", false]], "nsmallest() (pandas.series method)": [[757, "pandas.Series.nsmallest", false]], "nth (pandas.core.groupby.dataframegroupby property)": [[1183, "pandas.core.groupby.DataFrameGroupBy.nth", false]], "nth (pandas.core.groupby.seriesgroupby property)": [[1244, "pandas.core.groupby.SeriesGroupBy.nth", false]], "nullfrequencyerror": [[1367, "pandas.errors.NullFrequencyError", false]], "numbautilerror": [[1369, "pandas.errors.NumbaUtilError", false]], "numexprclobberingerror": [[1368, "pandas.errors.NumExprClobberingError", false]], "numpyextensionarray (class in pandas.arrays)": [[1140, "pandas.arrays.NumpyExtensionArray", false]], "nunique() (pandas.core.groupby.dataframegroupby method)": [[1184, "pandas.core.groupby.DataFrameGroupBy.nunique", false]], "nunique() (pandas.core.groupby.seriesgroupby method)": [[1245, "pandas.core.groupby.SeriesGroupBy.nunique", false]], "nunique() (pandas.core.resample.resampler method)": [[1287, "pandas.core.resample.Resampler.nunique", false]], "nunique() (pandas.dataframe method)": [[180, "pandas.DataFrame.nunique", false]], "nunique() (pandas.index method)": [[414, "pandas.Index.nunique", false]], "nunique() (pandas.series method)": [[758, "pandas.Series.nunique", false]], "ohlc() (pandas.core.groupby.dataframegroupby method)": [[1185, "pandas.core.groupby.DataFrameGroupBy.ohlc", false]], "ohlc() (pandas.core.groupby.seriesgroupby method)": [[1246, "pandas.core.groupby.SeriesGroupBy.ohlc", false]], "ohlc() (pandas.core.resample.resampler method)": [[1288, "pandas.core.resample.Resampler.ohlc", false]], "open_left (pandas.interval attribute)": [[453, "pandas.Interval.open_left", false]], "open_right (pandas.interval attribute)": [[454, "pandas.Interval.open_right", false]], "option_context (class in pandas)": [[1451, "pandas.option_context", false]], "optionerror": [[1370, "pandas.errors.OptionError", false]], "ordered (pandas.categorical property)": [[45, "pandas.Categorical.ordered", false]], "ordered (pandas.categoricaldtype property)": [[48, "pandas.CategoricalDtype.ordered", false]], "ordered (pandas.categoricalindex property)": [[57, "pandas.CategoricalIndex.ordered", false]], "ordered (pandas.series.cat attribute)": [[610, "pandas.Series.cat.ordered", false]], "ordinal (pandas.period attribute)": [[527, "pandas.Period.ordinal", false]], "outofboundsdatetime": [[1371, "pandas.errors.OutOfBoundsDatetime", false]], "outofboundstimedelta": [[1372, "pandas.errors.OutOfBoundsTimedelta", false]], "overlaps() (pandas.arrays.intervalarray method)": [[1136, "pandas.arrays.IntervalArray.overlaps", false]], "overlaps() (pandas.interval method)": [[455, "pandas.Interval.overlaps", false]], "overlaps() (pandas.intervalindex method)": [[473, "pandas.IntervalIndex.overlaps", false]], "pad() (pandas.dataframe method)": [[181, "pandas.DataFrame.pad", false]], "pad() (pandas.series method)": [[759, "pandas.Series.pad", false]], "pad() (pandas.series.str method)": [[852, "pandas.Series.str.pad", false]], "pandas": [[36, "module-pandas", false]], "pandas_dtype() (in module pandas.api.types)": [[1116, "pandas.api.types.pandas_dtype", false]], "parallel_coordinates() (in module pandas.plotting)": [[1461, "pandas.plotting.parallel_coordinates", false]], "parse() (pandas.excelfile method)": [[339, "pandas.ExcelFile.parse", false]], "parsererror": [[1373, "pandas.errors.ParserError", false]], "parserwarning": [[1374, "pandas.errors.ParserWarning", false]], "partition() (pandas.series.str method)": [[853, "pandas.Series.str.partition", false]], "pct_change() (pandas.core.groupby.dataframegroupby method)": [[1186, "pandas.core.groupby.DataFrameGroupBy.pct_change", false]], "pct_change() (pandas.core.groupby.seriesgroupby method)": [[1247, "pandas.core.groupby.SeriesGroupBy.pct_change", false]], "pct_change() (pandas.dataframe method)": [[182, "pandas.DataFrame.pct_change", false]], "pct_change() (pandas.series method)": [[760, "pandas.Series.pct_change", false]], "pep 484": [[2, "index-0", false]], "pep 561": [[2, "index-1", false]], "pep 8#imports": [[3, "index-0", false]], "performancewarning": [[1375, "pandas.errors.PerformanceWarning", false]], "period (class in pandas)": [[510, "pandas.Period", false]], "period_range() (in module pandas)": [[1452, "pandas.period_range", false]], "periodarray (class in pandas.arrays)": [[1141, "pandas.arrays.PeriodArray", false]], "perioddtype (class in pandas)": [[538, "pandas.PeriodDtype", false]], "periodindex (class in pandas)": [[540, "pandas.PeriodIndex", false]], "pie() (pandas.dataframe.plot method)": [[196, "pandas.DataFrame.plot.pie", false]], "pie() (pandas.series.plot method)": [[771, "pandas.Series.plot.pie", false]], "pipe() (pandas.core.groupby.dataframegroupby method)": [[1187, "pandas.core.groupby.DataFrameGroupBy.pipe", false]], "pipe() (pandas.core.groupby.seriesgroupby method)": [[1248, "pandas.core.groupby.SeriesGroupBy.pipe", false]], "pipe() (pandas.core.resample.resampler method)": [[1289, "pandas.core.resample.Resampler.pipe", false]], "pipe() (pandas.dataframe method)": [[183, "pandas.DataFrame.pipe", false]], "pipe() (pandas.io.formats.style.styler method)": [[1415, "pandas.io.formats.style.Styler.pipe", false]], "pipe() (pandas.series method)": [[761, "pandas.Series.pipe", false]], "pivot() (in module pandas)": [[1453, "pandas.pivot", false]], "pivot() (pandas.dataframe method)": [[184, "pandas.DataFrame.pivot", false]], "pivot_table() (in module pandas)": [[1454, "pandas.pivot_table", false]], "pivot_table() (pandas.dataframe method)": [[185, "pandas.DataFrame.pivot_table", false]], "plot (pandas.core.groupby.dataframegroupby property)": [[1188, "pandas.core.groupby.DataFrameGroupBy.plot", false]], "plot (pandas.core.groupby.seriesgroupby property)": [[1249, "pandas.core.groupby.SeriesGroupBy.plot", false]], "plot() (pandas.dataframe method)": [[186, "pandas.DataFrame.plot", false]], "plot() (pandas.series method)": [[762, "pandas.Series.plot", false]], "plot_params (in module pandas.plotting)": [[1462, "pandas.plotting.plot_params", false]], "pop() (pandas.dataframe method)": [[198, "pandas.DataFrame.pop", false]], "pop() (pandas.series method)": [[772, "pandas.Series.pop", false]], "possibledatalosserror": [[1376, "pandas.errors.PossibleDataLossError", false]], "possibleprecisionloss": [[1377, "pandas.errors.PossiblePrecisionLoss", false]], "pow() (pandas.dataframe method)": [[199, "pandas.DataFrame.pow", false]], "pow() (pandas.series method)": [[773, "pandas.Series.pow", false]], "prod() (pandas.core.groupby.dataframegroupby method)": [[1189, "pandas.core.groupby.DataFrameGroupBy.prod", false]], "prod() (pandas.core.groupby.seriesgroupby method)": [[1250, "pandas.core.groupby.SeriesGroupBy.prod", false]], "prod() (pandas.core.resample.resampler method)": [[1290, "pandas.core.resample.Resampler.prod", false]], "prod() (pandas.dataframe method)": [[200, "pandas.DataFrame.prod", false]], "prod() (pandas.series method)": [[774, "pandas.Series.prod", false]], "product() (pandas.dataframe method)": [[201, "pandas.DataFrame.product", false]], "product() (pandas.series method)": [[775, "pandas.Series.product", false]], "put() (pandas.hdfstore method)": [[351, "pandas.HDFStore.put", false]], "putmask() (pandas.index method)": [[415, "pandas.Index.putmask", false]], "pyperclipexception": [[1378, "pandas.errors.PyperclipException", false]], "pyperclipwindowsexception": [[1379, "pandas.errors.PyperclipWindowsException", false]], "python enhancement proposals": [[2, "index-0", false], [2, "index-1", false], [3, "index-0", false]], "qcut() (in module pandas)": [[1467, "pandas.qcut", false]], "qtr_with_extra_week (pandas.tseries.offsets.fy5253quarter attribute)": [[1833, "pandas.tseries.offsets.FY5253Quarter.qtr_with_extra_week", false]], "quantile() (pandas.core.groupby.dataframegroupby method)": [[1190, "pandas.core.groupby.DataFrameGroupBy.quantile", false]], "quantile() (pandas.core.groupby.seriesgroupby method)": [[1251, "pandas.core.groupby.SeriesGroupBy.quantile", false]], "quantile() (pandas.core.resample.resampler method)": [[1291, "pandas.core.resample.Resampler.quantile", false]], "quantile() (pandas.core.window.expanding.expanding method)": [[1314, "pandas.core.window.expanding.Expanding.quantile", false]], "quantile() (pandas.core.window.rolling.rolling method)": [[1331, "pandas.core.window.rolling.Rolling.quantile", false]], "quantile() (pandas.dataframe method)": [[202, "pandas.DataFrame.quantile", false]], "quantile() (pandas.series method)": [[776, "pandas.Series.quantile", false]], "quarter (pandas.datetimeindex property)": [[317, "pandas.DatetimeIndex.quarter", false]], "quarter (pandas.period attribute)": [[528, "pandas.Period.quarter", false]], "quarter (pandas.periodindex property)": [[558, "pandas.PeriodIndex.quarter", false]], "quarter (pandas.series.dt attribute)": [[671, "pandas.Series.dt.quarter", false]], "quarter (pandas.timestamp attribute)": [[994, "pandas.Timestamp.quarter", false]], "quarterbegin (class in pandas.tseries.offsets)": [[1982, "pandas.tseries.offsets.QuarterBegin", false]], "quarterend (class in pandas.tseries.offsets)": [[2000, "pandas.tseries.offsets.QuarterEnd", false]], "query() (pandas.dataframe method)": [[203, "pandas.DataFrame.query", false]], "qyear (pandas.period attribute)": [[529, "pandas.Period.qyear", false]], "qyear (pandas.periodindex property)": [[559, "pandas.PeriodIndex.qyear", false]], "qyear (pandas.series.dt attribute)": [[672, "pandas.Series.dt.qyear", false]], "radd() (pandas.dataframe method)": [[204, "pandas.DataFrame.radd", false]], "radd() (pandas.series method)": [[777, "pandas.Series.radd", false]], "radviz() (in module pandas.plotting)": [[1463, "pandas.plotting.radviz", false]], "rangeindex (class in pandas)": [[568, "pandas.RangeIndex", false]], "rank() (pandas.core.groupby.dataframegroupby method)": [[1191, "pandas.core.groupby.DataFrameGroupBy.rank", false]], "rank() (pandas.core.groupby.seriesgroupby method)": [[1252, "pandas.core.groupby.SeriesGroupBy.rank", false]], "rank() (pandas.core.window.expanding.expanding method)": [[1315, "pandas.core.window.expanding.Expanding.rank", false]], "rank() (pandas.core.window.rolling.rolling method)": [[1332, "pandas.core.window.rolling.Rolling.rank", false]], "rank() (pandas.dataframe method)": [[205, "pandas.DataFrame.rank", false]], "rank() (pandas.series method)": [[778, "pandas.Series.rank", false]], "ravel() (pandas.api.extensions.extensionarray method)": [[1059, "pandas.api.extensions.ExtensionArray.ravel", false]], "ravel() (pandas.index method)": [[416, "pandas.Index.ravel", false]], "ravel() (pandas.series method)": [[779, "pandas.Series.ravel", false]], "rdiv() (pandas.dataframe method)": [[206, "pandas.DataFrame.rdiv", false]], "rdiv() (pandas.series method)": [[780, "pandas.Series.rdiv", false]], "read_clipboard() (in module pandas)": [[1468, "pandas.read_clipboard", false]], "read_csv() (in module pandas)": [[1469, "pandas.read_csv", false]], "read_excel() (in module pandas)": [[1470, "pandas.read_excel", false]], "read_feather() (in module pandas)": [[1471, "pandas.read_feather", false]], "read_fwf() (in module pandas)": [[1472, "pandas.read_fwf", false]], "read_gbq() (in module pandas)": [[1473, "pandas.read_gbq", false]], "read_hdf() (in module pandas)": [[1474, "pandas.read_hdf", false]], "read_html() (in module pandas)": [[1475, "pandas.read_html", false]], "read_json() (in module pandas)": [[1476, "pandas.read_json", false]], "read_orc() (in module pandas)": [[1477, "pandas.read_orc", false]], "read_parquet() (in module pandas)": [[1478, "pandas.read_parquet", false]], "read_pickle() (in module pandas)": [[1479, "pandas.read_pickle", false]], "read_sas() (in module pandas)": [[1480, "pandas.read_sas", false]], "read_spss() (in module pandas)": [[1481, "pandas.read_spss", false]], "read_sql() (in module pandas)": [[1482, "pandas.read_sql", false]], "read_sql_query() (in module pandas)": [[1483, "pandas.read_sql_query", false]], "read_sql_table() (in module pandas)": [[1484, "pandas.read_sql_table", false]], "read_stata() (in module pandas)": [[1485, "pandas.read_stata", false]], "read_table() (in module pandas)": [[1486, "pandas.read_table", false]], "read_xml() (in module pandas)": [[1487, "pandas.read_xml", false]], "register_dataframe_accessor() (in module pandas.api.extensions)": [[1069, "pandas.api.extensions.register_dataframe_accessor", false]], "register_extension_dtype() (in module pandas.api.extensions)": [[1070, "pandas.api.extensions.register_extension_dtype", false]], "register_index_accessor() (in module pandas.api.extensions)": [[1071, "pandas.api.extensions.register_index_accessor", false]], "register_matplotlib_converters() (in module pandas.plotting)": [[1464, "pandas.plotting.register_matplotlib_converters", false]], "register_series_accessor() (in module pandas.api.extensions)": [[1072, "pandas.api.extensions.register_series_accessor", false]], "reindex() (pandas.dataframe method)": [[207, "pandas.DataFrame.reindex", false]], "reindex() (pandas.index method)": [[417, "pandas.Index.reindex", false]], "reindex() (pandas.series method)": [[781, "pandas.Series.reindex", false]], "reindex_like() (pandas.dataframe method)": [[208, "pandas.DataFrame.reindex_like", false]], "reindex_like() (pandas.series method)": [[782, "pandas.Series.reindex_like", false]], "relabel_index() (pandas.io.formats.style.styler method)": [[1416, "pandas.io.formats.style.Styler.relabel_index", false]], "remove_categories() (pandas.categoricalindex method)": [[58, "pandas.CategoricalIndex.remove_categories", false]], "remove_categories() (pandas.series.cat method)": [[611, "pandas.Series.cat.remove_categories", false]], "remove_unused_categories() (pandas.categoricalindex method)": [[59, "pandas.CategoricalIndex.remove_unused_categories", false]], "remove_unused_categories() (pandas.series.cat method)": [[612, "pandas.Series.cat.remove_unused_categories", false]], "remove_unused_levels() (pandas.multiindex method)": [[498, "pandas.MultiIndex.remove_unused_levels", false]], "removeprefix() (pandas.series.str method)": [[854, "pandas.Series.str.removeprefix", false]], "removesuffix() (pandas.series.str method)": [[855, "pandas.Series.str.removesuffix", false]], "rename() (pandas.dataframe method)": [[209, "pandas.DataFrame.rename", false]], "rename() (pandas.index method)": [[418, "pandas.Index.rename", false]], "rename() (pandas.series method)": [[783, "pandas.Series.rename", false]], "rename_axis() (pandas.dataframe method)": [[210, "pandas.DataFrame.rename_axis", false]], "rename_axis() (pandas.series method)": [[784, "pandas.Series.rename_axis", false]], "rename_categories() (pandas.categoricalindex method)": [[60, "pandas.CategoricalIndex.rename_categories", false]], "rename_categories() (pandas.series.cat method)": [[613, "pandas.Series.cat.rename_categories", false]], "reorder_categories() (pandas.categoricalindex method)": [[61, "pandas.CategoricalIndex.reorder_categories", false]], "reorder_categories() (pandas.series.cat method)": [[614, "pandas.Series.cat.reorder_categories", false]], "reorder_levels() (pandas.dataframe method)": [[211, "pandas.DataFrame.reorder_levels", false]], "reorder_levels() (pandas.multiindex method)": [[499, "pandas.MultiIndex.reorder_levels", false]], "reorder_levels() (pandas.series method)": [[785, "pandas.Series.reorder_levels", false]], "repeat() (pandas.api.extensions.extensionarray method)": [[1060, "pandas.api.extensions.ExtensionArray.repeat", false]], "repeat() (pandas.index method)": [[419, "pandas.Index.repeat", false]], "repeat() (pandas.series method)": [[786, "pandas.Series.repeat", false]], "repeat() (pandas.series.str method)": [[856, "pandas.Series.str.repeat", false]], "replace() (pandas.dataframe method)": [[212, "pandas.DataFrame.replace", false]], "replace() (pandas.series method)": [[787, "pandas.Series.replace", false]], "replace() (pandas.series.str method)": [[857, "pandas.Series.str.replace", false]], "replace() (pandas.timestamp method)": [[995, "pandas.Timestamp.replace", false]], "resample() (pandas.core.groupby.dataframegroupby method)": [[1192, "pandas.core.groupby.DataFrameGroupBy.resample", false]], "resample() (pandas.core.groupby.seriesgroupby method)": [[1253, "pandas.core.groupby.SeriesGroupBy.resample", false]], "resample() (pandas.dataframe method)": [[213, "pandas.DataFrame.resample", false]], "resample() (pandas.series method)": [[788, "pandas.Series.resample", false]], "reset_index() (pandas.dataframe method)": [[214, "pandas.DataFrame.reset_index", false]], "reset_index() (pandas.series method)": [[789, "pandas.Series.reset_index", false]], "reset_option (in module pandas)": [[1488, "pandas.reset_option", false]], "resolution (pandas.timedelta attribute)": [[928, "pandas.Timedelta.resolution", false]], "resolution (pandas.timestamp attribute)": [[996, "pandas.Timestamp.resolution", false]], "rfind() (pandas.series.str method)": [[858, "pandas.Series.str.rfind", false]], "rfloordiv() (pandas.dataframe method)": [[215, "pandas.DataFrame.rfloordiv", false]], "rfloordiv() (pandas.series method)": [[790, "pandas.Series.rfloordiv", false]], "right (pandas.arrays.intervalarray property)": [[1137, "pandas.arrays.IntervalArray.right", false]], "right (pandas.interval attribute)": [[456, "pandas.Interval.right", false]], "right (pandas.intervalindex attribute)": [[474, "pandas.IntervalIndex.right", false]], "rindex() (pandas.series.str method)": [[859, "pandas.Series.str.rindex", false]], "rjust() (pandas.series.str method)": [[860, "pandas.Series.str.rjust", false]], "rmod() (pandas.dataframe method)": [[216, "pandas.DataFrame.rmod", false]], "rmod() (pandas.series method)": [[791, "pandas.Series.rmod", false]], "rmul() (pandas.dataframe method)": [[217, "pandas.DataFrame.rmul", false]], "rmul() (pandas.series method)": [[792, "pandas.Series.rmul", false]], "rolling() (pandas.core.groupby.dataframegroupby method)": [[1193, "pandas.core.groupby.DataFrameGroupBy.rolling", false]], "rolling() (pandas.core.groupby.seriesgroupby method)": [[1254, "pandas.core.groupby.SeriesGroupBy.rolling", false]], "rolling() (pandas.dataframe method)": [[218, "pandas.DataFrame.rolling", false]], "rolling() (pandas.series method)": [[793, "pandas.Series.rolling", false]], "round() (pandas.dataframe method)": [[219, "pandas.DataFrame.round", false]], "round() (pandas.datetimeindex method)": [[318, "pandas.DatetimeIndex.round", false]], "round() (pandas.series method)": [[794, "pandas.Series.round", false]], "round() (pandas.series.dt method)": [[673, "pandas.Series.dt.round", false]], "round() (pandas.timedelta method)": [[929, "pandas.Timedelta.round", false]], "round() (pandas.timedeltaindex method)": [[948, "pandas.TimedeltaIndex.round", false]], "round() (pandas.timestamp method)": [[997, "pandas.Timestamp.round", false]], "rpartition() (pandas.series.str method)": [[861, "pandas.Series.str.rpartition", false]], "rpow() (pandas.dataframe method)": [[220, "pandas.DataFrame.rpow", false]], "rpow() (pandas.series method)": [[795, "pandas.Series.rpow", false]], "rsplit() (pandas.series.str method)": [[862, "pandas.Series.str.rsplit", false]], "rstrip() (pandas.series.str method)": [[863, "pandas.Series.str.rstrip", false]], "rsub() (pandas.dataframe method)": [[221, "pandas.DataFrame.rsub", false]], "rsub() (pandas.series method)": [[796, "pandas.Series.rsub", false]], "rtruediv() (pandas.dataframe method)": [[222, "pandas.DataFrame.rtruediv", false]], "rtruediv() (pandas.series method)": [[797, "pandas.Series.rtruediv", false]], "rule_code (pandas.tseries.offsets.bquarterbegin attribute)": [[1522, "pandas.tseries.offsets.BQuarterBegin.rule_code", false]], "rule_code (pandas.tseries.offsets.bquarterend attribute)": [[1540, "pandas.tseries.offsets.BQuarterEnd.rule_code", false]], "rule_code (pandas.tseries.offsets.businessday attribute)": [[1596, "pandas.tseries.offsets.BusinessDay.rule_code", false]], "rule_code (pandas.tseries.offsets.businesshour attribute)": [[1617, "pandas.tseries.offsets.BusinessHour.rule_code", false]], "rule_code (pandas.tseries.offsets.businessmonthbegin attribute)": [[1636, "pandas.tseries.offsets.BusinessMonthBegin.rule_code", false]], "rule_code (pandas.tseries.offsets.businessmonthend attribute)": [[1653, "pandas.tseries.offsets.BusinessMonthEnd.rule_code", false]], "rule_code (pandas.tseries.offsets.byearbegin attribute)": [[1559, "pandas.tseries.offsets.BYearBegin.rule_code", false]], "rule_code (pandas.tseries.offsets.byearend attribute)": [[1577, "pandas.tseries.offsets.BYearEnd.rule_code", false]], "rule_code (pandas.tseries.offsets.custombusinessday attribute)": [[1675, "pandas.tseries.offsets.CustomBusinessDay.rule_code", false]], "rule_code (pandas.tseries.offsets.custombusinesshour attribute)": [[1696, "pandas.tseries.offsets.CustomBusinessHour.rule_code", false]], "rule_code (pandas.tseries.offsets.custombusinessmonthbegin attribute)": [[1718, "pandas.tseries.offsets.CustomBusinessMonthBegin.rule_code", false]], "rule_code (pandas.tseries.offsets.custombusinessmonthend attribute)": [[1739, "pandas.tseries.offsets.CustomBusinessMonthEnd.rule_code", false]], "rule_code (pandas.tseries.offsets.dateoffset attribute)": [[1757, "pandas.tseries.offsets.DateOffset.rule_code", false]], "rule_code (pandas.tseries.offsets.day attribute)": [[1775, "pandas.tseries.offsets.Day.rule_code", false]], "rule_code (pandas.tseries.offsets.easter attribute)": [[1792, "pandas.tseries.offsets.Easter.rule_code", false]], "rule_code (pandas.tseries.offsets.fy5253 attribute)": [[1811, "pandas.tseries.offsets.FY5253.rule_code", false]], "rule_code (pandas.tseries.offsets.fy5253quarter attribute)": [[1834, "pandas.tseries.offsets.FY5253Quarter.rule_code", false]], "rule_code (pandas.tseries.offsets.hour attribute)": [[1856, "pandas.tseries.offsets.Hour.rule_code", false]], "rule_code (pandas.tseries.offsets.lastweekofmonth attribute)": [[1873, "pandas.tseries.offsets.LastWeekOfMonth.rule_code", false]], "rule_code (pandas.tseries.offsets.micro attribute)": [[1893, "pandas.tseries.offsets.Micro.rule_code", false]], "rule_code (pandas.tseries.offsets.milli attribute)": [[1911, "pandas.tseries.offsets.Milli.rule_code", false]], "rule_code (pandas.tseries.offsets.minute attribute)": [[1929, "pandas.tseries.offsets.Minute.rule_code", false]], "rule_code (pandas.tseries.offsets.monthbegin attribute)": [[1946, "pandas.tseries.offsets.MonthBegin.rule_code", false]], "rule_code (pandas.tseries.offsets.monthend attribute)": [[1963, "pandas.tseries.offsets.MonthEnd.rule_code", false]], "rule_code (pandas.tseries.offsets.nano attribute)": [[1981, "pandas.tseries.offsets.Nano.rule_code", false]], "rule_code (pandas.tseries.offsets.quarterbegin attribute)": [[1998, "pandas.tseries.offsets.QuarterBegin.rule_code", false]], "rule_code (pandas.tseries.offsets.quarterend attribute)": [[2016, "pandas.tseries.offsets.QuarterEnd.rule_code", false]], "rule_code (pandas.tseries.offsets.second attribute)": [[2035, "pandas.tseries.offsets.Second.rule_code", false]], "rule_code (pandas.tseries.offsets.semimonthbegin attribute)": [[2053, "pandas.tseries.offsets.SemiMonthBegin.rule_code", false]], "rule_code (pandas.tseries.offsets.semimonthend attribute)": [[2071, "pandas.tseries.offsets.SemiMonthEnd.rule_code", false]], "rule_code (pandas.tseries.offsets.tick attribute)": [[2089, "pandas.tseries.offsets.Tick.rule_code", false]], "rule_code (pandas.tseries.offsets.week attribute)": [[2106, "pandas.tseries.offsets.Week.rule_code", false]], "rule_code (pandas.tseries.offsets.weekofmonth attribute)": [[2124, "pandas.tseries.offsets.WeekOfMonth.rule_code", false]], "rule_code (pandas.tseries.offsets.yearbegin attribute)": [[2144, "pandas.tseries.offsets.YearBegin.rule_code", false]], "rule_code (pandas.tseries.offsets.yearend attribute)": [[2162, "pandas.tseries.offsets.YearEnd.rule_code", false]], "sample() (pandas.core.groupby.dataframegroupby method)": [[1194, "pandas.core.groupby.DataFrameGroupBy.sample", false]], "sample() (pandas.core.groupby.seriesgroupby method)": [[1255, "pandas.core.groupby.SeriesGroupBy.sample", false]], "sample() (pandas.dataframe method)": [[223, "pandas.DataFrame.sample", false]], "sample() (pandas.series method)": [[798, "pandas.Series.sample", false]], "scatter() (pandas.dataframe.plot method)": [[197, "pandas.DataFrame.plot.scatter", false]], "scatter_matrix() (in module pandas.plotting)": [[1465, "pandas.plotting.scatter_matrix", false]], "searchsorted() (pandas.api.extensions.extensionarray method)": [[1061, "pandas.api.extensions.ExtensionArray.searchsorted", false]], "searchsorted() (pandas.index method)": [[420, "pandas.Index.searchsorted", false]], "searchsorted() (pandas.series method)": [[799, "pandas.Series.searchsorted", false]], "second (class in pandas.tseries.offsets)": [[2018, "pandas.tseries.offsets.Second", false]], "second (pandas.datetimeindex property)": [[319, "pandas.DatetimeIndex.second", false]], "second (pandas.period attribute)": [[530, "pandas.Period.second", false]], "second (pandas.periodindex property)": [[560, "pandas.PeriodIndex.second", false]], "second (pandas.series.dt attribute)": [[674, "pandas.Series.dt.second", false]], "second (pandas.timestamp attribute)": [[998, "pandas.Timestamp.second", false]], "seconds (pandas.series.dt attribute)": [[675, "pandas.Series.dt.seconds", false]], "seconds (pandas.timedelta attribute)": [[930, "pandas.Timedelta.seconds", false]], "seconds (pandas.timedeltaindex property)": [[949, "pandas.TimedeltaIndex.seconds", false]], "select() (pandas.hdfstore method)": [[352, "pandas.HDFStore.select", false]], "select_dtypes() (pandas.dataframe method)": [[224, "pandas.DataFrame.select_dtypes", false]], "sem() (pandas.core.groupby.dataframegroupby method)": [[1195, "pandas.core.groupby.DataFrameGroupBy.sem", false]], "sem() (pandas.core.groupby.seriesgroupby method)": [[1256, "pandas.core.groupby.SeriesGroupBy.sem", false]], "sem() (pandas.core.resample.resampler method)": [[1292, "pandas.core.resample.Resampler.sem", false]], "sem() (pandas.core.window.expanding.expanding method)": [[1316, "pandas.core.window.expanding.Expanding.sem", false]], "sem() (pandas.core.window.rolling.rolling method)": [[1333, "pandas.core.window.rolling.Rolling.sem", false]], "sem() (pandas.dataframe method)": [[225, "pandas.DataFrame.sem", false]], "sem() (pandas.series method)": [[800, "pandas.Series.sem", false]], "semimonthbegin (class in pandas.tseries.offsets)": [[2036, "pandas.tseries.offsets.SemiMonthBegin", false]], "semimonthend (class in pandas.tseries.offsets)": [[2054, "pandas.tseries.offsets.SemiMonthEnd", false]], "series (class in pandas)": [[573, "pandas.Series", false]], "set_axis() (pandas.dataframe method)": [[226, "pandas.DataFrame.set_axis", false]], "set_axis() (pandas.series method)": [[801, "pandas.Series.set_axis", false]], "set_caption() (pandas.io.formats.style.styler method)": [[1417, "pandas.io.formats.style.Styler.set_caption", false]], "set_categories() (pandas.categoricalindex method)": [[62, "pandas.CategoricalIndex.set_categories", false]], "set_categories() (pandas.series.cat method)": [[615, "pandas.Series.cat.set_categories", false]], "set_closed() (pandas.arrays.intervalarray method)": [[1138, "pandas.arrays.IntervalArray.set_closed", false]], "set_closed() (pandas.intervalindex method)": [[475, "pandas.IntervalIndex.set_closed", false]], "set_codes() (pandas.multiindex method)": [[500, "pandas.MultiIndex.set_codes", false]], "set_eng_float_format() (in module pandas)": [[1489, "pandas.set_eng_float_format", false]], "set_flags() (pandas.dataframe method)": [[227, "pandas.DataFrame.set_flags", false]], "set_flags() (pandas.series method)": [[802, "pandas.Series.set_flags", false]], "set_index() (pandas.dataframe method)": [[228, "pandas.DataFrame.set_index", false]], "set_levels() (pandas.multiindex method)": [[501, "pandas.MultiIndex.set_levels", false]], "set_names() (pandas.index method)": [[421, "pandas.Index.set_names", false]], "set_option (in module pandas)": [[1490, "pandas.set_option", false]], "set_properties() (pandas.io.formats.style.styler method)": [[1418, "pandas.io.formats.style.Styler.set_properties", false]], "set_sticky() (pandas.io.formats.style.styler method)": [[1419, "pandas.io.formats.style.Styler.set_sticky", false]], "set_table_attributes() (pandas.io.formats.style.styler method)": [[1420, "pandas.io.formats.style.Styler.set_table_attributes", false]], "set_table_styles() (pandas.io.formats.style.styler method)": [[1421, "pandas.io.formats.style.Styler.set_table_styles", false]], "set_td_classes() (pandas.io.formats.style.styler method)": [[1422, "pandas.io.formats.style.Styler.set_td_classes", false]], "set_tooltips() (pandas.io.formats.style.styler method)": [[1423, "pandas.io.formats.style.Styler.set_tooltips", false]], "set_uuid() (pandas.io.formats.style.styler method)": [[1424, "pandas.io.formats.style.Styler.set_uuid", false]], "settingwithcopyerror": [[1380, "pandas.errors.SettingWithCopyError", false]], "settingwithcopywarning": [[1381, "pandas.errors.SettingWithCopyWarning", false]], "shape (pandas.api.extensions.extensionarray property)": [[1062, "pandas.api.extensions.ExtensionArray.shape", false]], "shape (pandas.dataframe property)": [[229, "pandas.DataFrame.shape", false]], "shape (pandas.index property)": [[422, "pandas.Index.shape", false]], "shape (pandas.series property)": [[803, "pandas.Series.shape", false]], "sheet_names (pandas.excelfile property)": [[340, "pandas.ExcelFile.sheet_names", false]], "shift() (pandas.api.extensions.extensionarray method)": [[1063, "pandas.api.extensions.ExtensionArray.shift", false]], "shift() (pandas.core.groupby.dataframegroupby method)": [[1196, "pandas.core.groupby.DataFrameGroupBy.shift", false]], "shift() (pandas.core.groupby.seriesgroupby method)": [[1257, "pandas.core.groupby.SeriesGroupBy.shift", false]], "shift() (pandas.dataframe method)": [[230, "pandas.DataFrame.shift", false]], "shift() (pandas.index method)": [[423, "pandas.Index.shift", false]], "shift() (pandas.series method)": [[804, "pandas.Series.shift", false]], "show_versions() (in module pandas)": [[1491, "pandas.show_versions", false]], "size (pandas.dataframe property)": [[231, "pandas.DataFrame.size", false]], "size (pandas.index property)": [[424, "pandas.Index.size", false]], "size (pandas.series property)": [[805, "pandas.Series.size", false]], "size() (pandas.core.groupby.dataframegroupby method)": [[1197, "pandas.core.groupby.DataFrameGroupBy.size", false]], "size() (pandas.core.groupby.seriesgroupby method)": [[1258, "pandas.core.groupby.SeriesGroupBy.size", false]], "size() (pandas.core.resample.resampler method)": [[1293, "pandas.core.resample.Resampler.size", false]], "skew() (pandas.core.groupby.dataframegroupby method)": [[1198, "pandas.core.groupby.DataFrameGroupBy.skew", false]], "skew() (pandas.core.groupby.seriesgroupby method)": [[1259, "pandas.core.groupby.SeriesGroupBy.skew", false]], "skew() (pandas.core.window.expanding.expanding method)": [[1317, "pandas.core.window.expanding.Expanding.skew", false]], "skew() (pandas.core.window.rolling.rolling method)": [[1334, "pandas.core.window.rolling.Rolling.skew", false]], "skew() (pandas.dataframe method)": [[232, "pandas.DataFrame.skew", false]], "skew() (pandas.series method)": [[806, "pandas.Series.skew", false]], "slice() (pandas.series.str method)": [[864, "pandas.Series.str.slice", false]], "slice_indexer() (pandas.index method)": [[425, "pandas.Index.slice_indexer", false]], "slice_locs() (pandas.index method)": [[426, "pandas.Index.slice_locs", false]], "slice_replace() (pandas.series.str method)": [[865, "pandas.Series.str.slice_replace", false]], "snap() (pandas.datetimeindex method)": [[320, "pandas.DatetimeIndex.snap", false]], "sort_index() (pandas.dataframe method)": [[233, "pandas.DataFrame.sort_index", false]], "sort_index() (pandas.series method)": [[807, "pandas.Series.sort_index", false]], "sort_values() (pandas.dataframe method)": [[234, "pandas.DataFrame.sort_values", false]], "sort_values() (pandas.index method)": [[427, "pandas.Index.sort_values", false]], "sort_values() (pandas.series method)": [[808, "pandas.Series.sort_values", false]], "sortlevel() (pandas.multiindex method)": [[502, "pandas.MultiIndex.sortlevel", false]], "sp_values (pandas.series.sparse attribute)": [[814, "pandas.Series.sparse.sp_values", false]], "sparse() (pandas.dataframe method)": [[235, "pandas.DataFrame.sparse", false]], "sparse() (pandas.series method)": [[809, "pandas.Series.sparse", false]], "sparsearray (class in pandas.arrays)": [[1142, "pandas.arrays.SparseArray", false]], "sparsedtype (class in pandas)": [[914, "pandas.SparseDtype", false]], "specificationerror": [[1382, "pandas.errors.SpecificationError", false]], "split() (pandas.series.str method)": [[866, "pandas.Series.str.split", false]], "squeeze() (pandas.dataframe method)": [[240, "pandas.DataFrame.squeeze", false]], "squeeze() (pandas.series method)": [[816, "pandas.Series.squeeze", false]], "stack() (pandas.dataframe method)": [[241, "pandas.DataFrame.stack", false]], "start (pandas.rangeindex property)": [[570, "pandas.RangeIndex.start", false]], "start (pandas.tseries.offsets.businesshour attribute)": [[1618, "pandas.tseries.offsets.BusinessHour.start", false]], "start (pandas.tseries.offsets.custombusinesshour attribute)": [[1697, "pandas.tseries.offsets.CustomBusinessHour.start", false]], "start_time (pandas.period attribute)": [[531, "pandas.Period.start_time", false]], "start_time (pandas.periodindex property)": [[561, "pandas.PeriodIndex.start_time", false]], "start_time (pandas.series.dt attribute)": [[676, "pandas.Series.dt.start_time", false]], "startingmonth (pandas.tseries.offsets.bquarterbegin attribute)": [[1523, "pandas.tseries.offsets.BQuarterBegin.startingMonth", false]], "startingmonth (pandas.tseries.offsets.bquarterend attribute)": [[1541, "pandas.tseries.offsets.BQuarterEnd.startingMonth", false]], "startingmonth (pandas.tseries.offsets.fy5253 attribute)": [[1812, "pandas.tseries.offsets.FY5253.startingMonth", false]], "startingmonth (pandas.tseries.offsets.fy5253quarter attribute)": [[1835, "pandas.tseries.offsets.FY5253Quarter.startingMonth", false]], "startingmonth (pandas.tseries.offsets.quarterbegin attribute)": [[1999, "pandas.tseries.offsets.QuarterBegin.startingMonth", false]], "startingmonth (pandas.tseries.offsets.quarterend attribute)": [[2017, "pandas.tseries.offsets.QuarterEnd.startingMonth", false]], "startswith() (pandas.series.str method)": [[867, "pandas.Series.str.startswith", false]], "std() (pandas.core.groupby.dataframegroupby method)": [[1199, "pandas.core.groupby.DataFrameGroupBy.std", false]], "std() (pandas.core.groupby.seriesgroupby method)": [[1260, "pandas.core.groupby.SeriesGroupBy.std", false]], "std() (pandas.core.resample.resampler method)": [[1294, "pandas.core.resample.Resampler.std", false]], "std() (pandas.core.window.ewm.exponentialmovingwindow method)": [[1301, "pandas.core.window.ewm.ExponentialMovingWindow.std", false]], "std() (pandas.core.window.expanding.expanding method)": [[1318, "pandas.core.window.expanding.Expanding.std", false]], "std() (pandas.core.window.rolling.rolling method)": [[1335, "pandas.core.window.rolling.Rolling.std", false]], "std() (pandas.core.window.rolling.window method)": [[1339, "pandas.core.window.rolling.Window.std", false]], "std() (pandas.dataframe method)": [[242, "pandas.DataFrame.std", false]], "std() (pandas.datetimeindex method)": [[321, "pandas.DatetimeIndex.std", false]], "std() (pandas.series method)": [[817, "pandas.Series.std", false]], "step (pandas.rangeindex property)": [[571, "pandas.RangeIndex.step", false]], "stop (pandas.rangeindex property)": [[572, "pandas.RangeIndex.stop", false]], "str() (pandas.index method)": [[428, "pandas.Index.str", false]], "str() (pandas.series method)": [[818, "pandas.Series.str", false]], "strftime() (pandas.datetimeindex method)": [[322, "pandas.DatetimeIndex.strftime", false]], "strftime() (pandas.period method)": [[532, "pandas.Period.strftime", false]], "strftime() (pandas.periodindex method)": [[562, "pandas.PeriodIndex.strftime", false]], "strftime() (pandas.series.dt method)": [[677, "pandas.Series.dt.strftime", false]], "strftime() (pandas.timestamp method)": [[999, "pandas.Timestamp.strftime", false]], "stringarray (class in pandas.arrays)": [[1143, "pandas.arrays.StringArray", false]], "stringdtype (class in pandas)": [[915, "pandas.StringDtype", false]], "strip() (pandas.series.str method)": [[868, "pandas.Series.str.strip", false]], "strptime() (pandas.timestamp class method)": [[1000, "pandas.Timestamp.strptime", false]], "style (pandas.dataframe property)": [[243, "pandas.DataFrame.style", false]], "styler (class in pandas.io.formats.style)": [[1394, "pandas.io.formats.style.Styler", false]], "sub() (pandas.dataframe method)": [[244, "pandas.DataFrame.sub", false]], "sub() (pandas.series method)": [[878, "pandas.Series.sub", false]], "subtype (pandas.intervaldtype property)": [[458, "pandas.IntervalDtype.subtype", false]], "sum() (pandas.core.groupby.dataframegroupby method)": [[1200, "pandas.core.groupby.DataFrameGroupBy.sum", false]], "sum() (pandas.core.groupby.seriesgroupby method)": [[1261, "pandas.core.groupby.SeriesGroupBy.sum", false]], "sum() (pandas.core.resample.resampler method)": [[1295, "pandas.core.resample.Resampler.sum", false]], "sum() (pandas.core.window.ewm.exponentialmovingwindow method)": [[1302, "pandas.core.window.ewm.ExponentialMovingWindow.sum", false]], "sum() (pandas.core.window.expanding.expanding method)": [[1319, "pandas.core.window.expanding.Expanding.sum", false]], "sum() (pandas.core.window.rolling.rolling method)": [[1336, "pandas.core.window.rolling.Rolling.sum", false]], "sum() (pandas.core.window.rolling.window method)": [[1340, "pandas.core.window.rolling.Window.sum", false]], "sum() (pandas.dataframe method)": [[245, "pandas.DataFrame.sum", false]], "sum() (pandas.series method)": [[879, "pandas.Series.sum", false]], "swapaxes() (pandas.dataframe method)": [[246, "pandas.DataFrame.swapaxes", false]], "swapcase() (pandas.series.str method)": [[869, "pandas.Series.str.swapcase", false]], "swaplevel() (pandas.dataframe method)": [[247, "pandas.DataFrame.swaplevel", false]], "swaplevel() (pandas.multiindex method)": [[503, "pandas.MultiIndex.swaplevel", false]], "swaplevel() (pandas.series method)": [[880, "pandas.Series.swaplevel", false]], "symmetric_difference() (pandas.index method)": [[429, "pandas.Index.symmetric_difference", false]], "t (pandas.dataframe property)": [[64, "pandas.DataFrame.T", false]], "t (pandas.index property)": [[355, "pandas.Index.T", false]], "t (pandas.series property)": [[574, "pandas.Series.T", false]], "table() (in module pandas.plotting)": [[1466, "pandas.plotting.table", false]], "tail() (pandas.core.groupby.dataframegroupby method)": [[1201, "pandas.core.groupby.DataFrameGroupBy.tail", false]], "tail() (pandas.core.groupby.seriesgroupby method)": [[1262, "pandas.core.groupby.SeriesGroupBy.tail", false]], "tail() (pandas.dataframe method)": [[248, "pandas.DataFrame.tail", false]], "tail() (pandas.series method)": [[881, "pandas.Series.tail", false]], "take() (pandas.api.extensions.extensionarray method)": [[1064, "pandas.api.extensions.ExtensionArray.take", false]], "take() (pandas.core.groupby.dataframegroupby method)": [[1202, "pandas.core.groupby.DataFrameGroupBy.take", false]], "take() (pandas.core.groupby.seriesgroupby method)": [[1263, "pandas.core.groupby.SeriesGroupBy.take", false]], "take() (pandas.dataframe method)": [[249, "pandas.DataFrame.take", false]], "take() (pandas.index method)": [[430, "pandas.Index.take", false]], "take() (pandas.series method)": [[882, "pandas.Series.take", false]], "template_html (pandas.io.formats.style.styler attribute)": [[1425, "pandas.io.formats.style.Styler.template_html", false]], "template_html_style (pandas.io.formats.style.styler attribute)": [[1426, "pandas.io.formats.style.Styler.template_html_style", false]], "template_html_table (pandas.io.formats.style.styler attribute)": [[1427, "pandas.io.formats.style.Styler.template_html_table", false]], "template_latex (pandas.io.formats.style.styler attribute)": [[1428, "pandas.io.formats.style.Styler.template_latex", false]], "template_string (pandas.io.formats.style.styler attribute)": [[1429, "pandas.io.formats.style.Styler.template_string", false]], "test() (in module pandas)": [[1492, "pandas.test", false]], "text_gradient() (pandas.io.formats.style.styler method)": [[1430, "pandas.io.formats.style.Styler.text_gradient", false]], "tick (class in pandas.tseries.offsets)": [[2072, "pandas.tseries.offsets.Tick", false]], "time (pandas.datetimeindex property)": [[323, "pandas.DatetimeIndex.time", false]], "time (pandas.series.dt attribute)": [[678, "pandas.Series.dt.time", false]], "time() (pandas.timestamp method)": [[1001, "pandas.Timestamp.time", false]], "timedelta (class in pandas)": [[916, "pandas.Timedelta", false]], "timedelta_range() (in module pandas)": [[1497, "pandas.timedelta_range", false]], "timedeltaarray (class in pandas.arrays)": [[1144, "pandas.arrays.TimedeltaArray", false]], "timedeltaindex (class in pandas)": [[938, "pandas.TimedeltaIndex", false]], "timestamp (class in pandas)": [[953, "pandas.Timestamp", false]], "timestamp() (pandas.timestamp method)": [[1002, "pandas.Timestamp.timestamp", false]], "timetuple() (pandas.timestamp method)": [[1003, "pandas.Timestamp.timetuple", false]], "timetz (pandas.datetimeindex property)": [[324, "pandas.DatetimeIndex.timetz", false]], "timetz (pandas.series.dt attribute)": [[679, "pandas.Series.dt.timetz", false]], "timetz() (pandas.timestamp method)": [[1004, "pandas.Timestamp.timetz", false]], "title() (pandas.series.str method)": [[870, "pandas.Series.str.title", false]], "to_clipboard() (pandas.dataframe method)": [[250, "pandas.DataFrame.to_clipboard", false]], "to_clipboard() (pandas.series method)": [[883, "pandas.Series.to_clipboard", false]], "to_coo() (pandas.dataframe.sparse method)": [[238, "pandas.DataFrame.sparse.to_coo", false]], "to_coo() (pandas.series.sparse method)": [[815, "pandas.Series.sparse.to_coo", false]], "to_csv() (pandas.dataframe method)": [[251, "pandas.DataFrame.to_csv", false]], "to_csv() (pandas.series method)": [[884, "pandas.Series.to_csv", false]], "to_datetime() (in module pandas)": [[1498, "pandas.to_datetime", false]], "to_datetime64() (pandas.timestamp method)": [[1005, "pandas.Timestamp.to_datetime64", false]], "to_dense() (pandas.dataframe.sparse method)": [[239, "pandas.DataFrame.sparse.to_dense", false]], "to_dict() (pandas.dataframe method)": [[252, "pandas.DataFrame.to_dict", false]], "to_dict() (pandas.series method)": [[885, "pandas.Series.to_dict", false]], "to_excel() (pandas.dataframe method)": [[253, "pandas.DataFrame.to_excel", false]], "to_excel() (pandas.io.formats.style.styler method)": [[1431, "pandas.io.formats.style.Styler.to_excel", false]], "to_excel() (pandas.series method)": [[886, "pandas.Series.to_excel", false]], "to_feather() (pandas.dataframe method)": [[254, "pandas.DataFrame.to_feather", false]], "to_flat_index() (pandas.multiindex method)": [[504, "pandas.MultiIndex.to_flat_index", false]], "to_frame() (pandas.datetimeindex method)": [[325, "pandas.DatetimeIndex.to_frame", false]], "to_frame() (pandas.index method)": [[431, "pandas.Index.to_frame", false]], "to_frame() (pandas.multiindex method)": [[505, "pandas.MultiIndex.to_frame", false]], "to_frame() (pandas.series method)": [[887, "pandas.Series.to_frame", false]], "to_frame() (pandas.timedeltaindex method)": [[950, "pandas.TimedeltaIndex.to_frame", false]], "to_gbq() (pandas.dataframe method)": [[255, "pandas.DataFrame.to_gbq", false]], "to_hdf() (pandas.dataframe method)": [[256, "pandas.DataFrame.to_hdf", false]], "to_hdf() (pandas.series method)": [[888, "pandas.Series.to_hdf", false]], "to_html() (pandas.dataframe method)": [[257, "pandas.DataFrame.to_html", false]], "to_html() (pandas.io.formats.style.styler method)": [[1432, "pandas.io.formats.style.Styler.to_html", false]], "to_json() (pandas.dataframe method)": [[258, "pandas.DataFrame.to_json", false]], "to_json() (pandas.series method)": [[889, "pandas.Series.to_json", false]], "to_julian_date() (pandas.timestamp method)": [[1006, "pandas.Timestamp.to_julian_date", false]], "to_latex() (pandas.dataframe method)": [[259, "pandas.DataFrame.to_latex", false]], "to_latex() (pandas.io.formats.style.styler method)": [[1433, "pandas.io.formats.style.Styler.to_latex", false]], "to_latex() (pandas.series method)": [[890, "pandas.Series.to_latex", false]], "to_list() (pandas.index method)": [[432, "pandas.Index.to_list", false]], "to_list() (pandas.series method)": [[891, "pandas.Series.to_list", false]], "to_markdown() (pandas.dataframe method)": [[260, "pandas.DataFrame.to_markdown", false]], "to_markdown() (pandas.series method)": [[892, "pandas.Series.to_markdown", false]], "to_numeric() (in module pandas)": [[1499, "pandas.to_numeric", false]], "to_numpy() (pandas.dataframe method)": [[261, "pandas.DataFrame.to_numpy", false]], "to_numpy() (pandas.series method)": [[893, "pandas.Series.to_numpy", false]], "to_numpy() (pandas.timedelta method)": [[931, "pandas.Timedelta.to_numpy", false]], "to_numpy() (pandas.timestamp method)": [[1007, "pandas.Timestamp.to_numpy", false]], "to_offset() (in module pandas.tseries.frequencies)": [[1502, "pandas.tseries.frequencies.to_offset", false]], "to_orc() (pandas.dataframe method)": [[262, "pandas.DataFrame.to_orc", false]], "to_parquet() (pandas.dataframe method)": [[263, "pandas.DataFrame.to_parquet", false]], "to_period() (pandas.dataframe method)": [[264, "pandas.DataFrame.to_period", false]], "to_period() (pandas.datetimeindex method)": [[326, "pandas.DatetimeIndex.to_period", false]], "to_period() (pandas.series method)": [[894, "pandas.Series.to_period", false]], "to_period() (pandas.series.dt method)": [[680, "pandas.Series.dt.to_period", false]], "to_period() (pandas.timestamp method)": [[1008, "pandas.Timestamp.to_period", false]], "to_pickle() (pandas.dataframe method)": [[265, "pandas.DataFrame.to_pickle", false]], "to_pickle() (pandas.series method)": [[895, "pandas.Series.to_pickle", false]], "to_pydatetime() (pandas.datetimeindex method)": [[327, "pandas.DatetimeIndex.to_pydatetime", false]], "to_pydatetime() (pandas.series.dt method)": [[681, "pandas.Series.dt.to_pydatetime", false]], "to_pydatetime() (pandas.timestamp method)": [[1009, "pandas.Timestamp.to_pydatetime", false]], "to_pytimedelta() (pandas.series.dt method)": [[682, "pandas.Series.dt.to_pytimedelta", false]], "to_pytimedelta() (pandas.timedelta method)": [[932, "pandas.Timedelta.to_pytimedelta", false]], "to_pytimedelta() (pandas.timedeltaindex method)": [[951, "pandas.TimedeltaIndex.to_pytimedelta", false]], "to_records() (pandas.dataframe method)": [[266, "pandas.DataFrame.to_records", false]], "to_series() (pandas.datetimeindex method)": [[328, "pandas.DatetimeIndex.to_series", false]], "to_series() (pandas.index method)": [[433, "pandas.Index.to_series", false]], "to_series() (pandas.timedeltaindex method)": [[952, "pandas.TimedeltaIndex.to_series", false]], "to_sql() (pandas.dataframe method)": [[267, "pandas.DataFrame.to_sql", false]], "to_sql() (pandas.series method)": [[896, "pandas.Series.to_sql", false]], "to_stata() (pandas.dataframe method)": [[268, "pandas.DataFrame.to_stata", false]], "to_string() (pandas.dataframe method)": [[269, "pandas.DataFrame.to_string", false]], "to_string() (pandas.io.formats.style.styler method)": [[1434, "pandas.io.formats.style.Styler.to_string", false]], "to_string() (pandas.series method)": [[897, "pandas.Series.to_string", false]], "to_timedelta() (in module pandas)": [[1500, "pandas.to_timedelta", false]], "to_timedelta64() (pandas.timedelta method)": [[933, "pandas.Timedelta.to_timedelta64", false]], "to_timestamp() (pandas.dataframe method)": [[270, "pandas.DataFrame.to_timestamp", false]], "to_timestamp() (pandas.period method)": [[533, "pandas.Period.to_timestamp", false]], "to_timestamp() (pandas.periodindex method)": [[563, "pandas.PeriodIndex.to_timestamp", false]], "to_timestamp() (pandas.series method)": [[898, "pandas.Series.to_timestamp", false]], "to_tuples() (pandas.arrays.intervalarray method)": [[1139, "pandas.arrays.IntervalArray.to_tuples", false]], "to_tuples() (pandas.intervalindex method)": [[476, "pandas.IntervalIndex.to_tuples", false]], "to_xarray() (pandas.dataframe method)": [[271, "pandas.DataFrame.to_xarray", false]], "to_xarray() (pandas.series method)": [[899, "pandas.Series.to_xarray", false]], "to_xml() (pandas.dataframe method)": [[272, "pandas.DataFrame.to_xml", false]], "today() (pandas.timestamp class method)": [[1010, "pandas.Timestamp.today", false]], "tolist() (pandas.api.extensions.extensionarray method)": [[1065, "pandas.api.extensions.ExtensionArray.tolist", false]], "toordinal() (pandas.timestamp method)": [[1011, "pandas.Timestamp.toordinal", false]], "total_seconds() (pandas.series.dt method)": [[683, "pandas.Series.dt.total_seconds", false]], "total_seconds() (pandas.timedelta method)": [[934, "pandas.Timedelta.total_seconds", false]], "transform() (pandas.core.groupby.dataframegroupby method)": [[1203, "pandas.core.groupby.DataFrameGroupBy.transform", false]], "transform() (pandas.core.groupby.seriesgroupby method)": [[1264, "pandas.core.groupby.SeriesGroupBy.transform", false]], "transform() (pandas.core.resample.resampler method)": [[1296, "pandas.core.resample.Resampler.transform", false]], "transform() (pandas.dataframe method)": [[273, "pandas.DataFrame.transform", false]], "transform() (pandas.series method)": [[900, "pandas.Series.transform", false]], "translate() (pandas.series.str method)": [[871, "pandas.Series.str.translate", false]], "transpose() (pandas.dataframe method)": [[274, "pandas.DataFrame.transpose", false]], "truediv() (pandas.dataframe method)": [[275, "pandas.DataFrame.truediv", false]], "truediv() (pandas.series method)": [[901, "pandas.Series.truediv", false]], "truncate() (pandas.dataframe method)": [[276, "pandas.DataFrame.truncate", false]], "truncate() (pandas.multiindex method)": [[506, "pandas.MultiIndex.truncate", false]], "truncate() (pandas.series method)": [[902, "pandas.Series.truncate", false]], "tz (pandas.datetimeindex property)": [[329, "pandas.DatetimeIndex.tz", false]], "tz (pandas.datetimetzdtype property)": [[335, "pandas.DatetimeTZDtype.tz", false]], "tz (pandas.series.dt attribute)": [[684, "pandas.Series.dt.tz", false]], "tz (pandas.timestamp property)": [[1012, "pandas.Timestamp.tz", false]], "tz_convert() (pandas.dataframe method)": [[277, "pandas.DataFrame.tz_convert", false]], "tz_convert() (pandas.datetimeindex method)": [[330, "pandas.DatetimeIndex.tz_convert", false]], "tz_convert() (pandas.series method)": [[903, "pandas.Series.tz_convert", false]], "tz_convert() (pandas.series.dt method)": [[685, "pandas.Series.dt.tz_convert", false]], "tz_convert() (pandas.timestamp method)": [[1013, "pandas.Timestamp.tz_convert", false]], "tz_localize() (pandas.dataframe method)": [[278, "pandas.DataFrame.tz_localize", false]], "tz_localize() (pandas.datetimeindex method)": [[331, "pandas.DatetimeIndex.tz_localize", false]], "tz_localize() (pandas.series method)": [[904, "pandas.Series.tz_localize", false]], "tz_localize() (pandas.series.dt method)": [[686, "pandas.Series.dt.tz_localize", false]], "tz_localize() (pandas.timestamp method)": [[1014, "pandas.Timestamp.tz_localize", false]], "tzinfo (pandas.timestamp attribute)": [[1015, "pandas.Timestamp.tzinfo", false]], "tzname() (pandas.timestamp method)": [[1016, "pandas.Timestamp.tzname", false]], "uint16dtype (class in pandas)": [[1027, "pandas.UInt16Dtype", false]], "uint32dtype (class in pandas)": [[1028, "pandas.UInt32Dtype", false]], "uint64dtype (class in pandas)": [[1029, "pandas.UInt64Dtype", false]], "uint8dtype (class in pandas)": [[1030, "pandas.UInt8Dtype", false]], "undefinedvariableerror": [[1383, "pandas.errors.UndefinedVariableError", false]], "union() (pandas.index method)": [[434, "pandas.Index.union", false]], "union_categoricals() (in module pandas.api.types)": [[1117, "pandas.api.types.union_categoricals", false]], "unique() (in module pandas)": [[2163, "pandas.unique", false]], "unique() (pandas.api.extensions.extensionarray method)": [[1066, "pandas.api.extensions.ExtensionArray.unique", false]], "unique() (pandas.core.groupby.seriesgroupby method)": [[1265, "pandas.core.groupby.SeriesGroupBy.unique", false]], "unique() (pandas.index method)": [[435, "pandas.Index.unique", false]], "unique() (pandas.series method)": [[905, "pandas.Series.unique", false]], "unit (pandas.datetimetzdtype property)": [[336, "pandas.DatetimeTZDtype.unit", false]], "unit (pandas.series.dt attribute)": [[687, "pandas.Series.dt.unit", false]], "unit (pandas.timedelta attribute)": [[935, "pandas.Timedelta.unit", false]], "unit (pandas.timestamp attribute)": [[1017, "pandas.Timestamp.unit", false]], "unsortedindexerror": [[1384, "pandas.errors.UnsortedIndexError", false]], "unstack() (pandas.dataframe method)": [[279, "pandas.DataFrame.unstack", false]], "unstack() (pandas.series method)": [[906, "pandas.Series.unstack", false]], "unsupportedfunctioncall": [[1385, "pandas.errors.UnsupportedFunctionCall", false]], "update() (pandas.dataframe method)": [[280, "pandas.DataFrame.update", false]], "update() (pandas.series method)": [[907, "pandas.Series.update", false]], "upper() (pandas.series.str method)": [[872, "pandas.Series.str.upper", false]], "use() (pandas.io.formats.style.styler method)": [[1435, "pandas.io.formats.style.Styler.use", false]], "utcfromtimestamp() (pandas.timestamp class method)": [[1018, "pandas.Timestamp.utcfromtimestamp", false]], "utcnow() (pandas.timestamp class method)": [[1019, "pandas.Timestamp.utcnow", false]], "utcoffset() (pandas.timestamp method)": [[1020, "pandas.Timestamp.utcoffset", false]], "utctimetuple() (pandas.timestamp method)": [[1021, "pandas.Timestamp.utctimetuple", false]], "value (pandas.timedelta attribute)": [[936, "pandas.Timedelta.value", false]], "value (pandas.timestamp attribute)": [[1022, "pandas.Timestamp.value", false]], "value_counts() (pandas.core.groupby.dataframegroupby method)": [[1204, "pandas.core.groupby.DataFrameGroupBy.value_counts", false]], "value_counts() (pandas.core.groupby.seriesgroupby method)": [[1266, "pandas.core.groupby.SeriesGroupBy.value_counts", false]], "value_counts() (pandas.dataframe method)": [[281, "pandas.DataFrame.value_counts", false]], "value_counts() (pandas.index method)": [[436, "pandas.Index.value_counts", false]], "value_counts() (pandas.series method)": [[908, "pandas.Series.value_counts", false]], "value_labels() (pandas.io.stata.statareader method)": [[1438, "pandas.io.stata.StataReader.value_labels", false]], "valuelabeltypemismatch": [[1386, "pandas.errors.ValueLabelTypeMismatch", false]], "values (pandas.dataframe property)": [[282, "pandas.DataFrame.values", false]], "values (pandas.index property)": [[437, "pandas.Index.values", false]], "values (pandas.intervalindex property)": [[477, "pandas.IntervalIndex.values", false]], "values (pandas.series property)": [[909, "pandas.Series.values", false]], "var() (pandas.core.groupby.dataframegroupby method)": [[1205, "pandas.core.groupby.DataFrameGroupBy.var", false]], "var() (pandas.core.groupby.seriesgroupby method)": [[1267, "pandas.core.groupby.SeriesGroupBy.var", false]], "var() (pandas.core.resample.resampler method)": [[1297, "pandas.core.resample.Resampler.var", false]], "var() (pandas.core.window.ewm.exponentialmovingwindow method)": [[1303, "pandas.core.window.ewm.ExponentialMovingWindow.var", false]], "var() (pandas.core.window.expanding.expanding method)": [[1320, "pandas.core.window.expanding.Expanding.var", false]], "var() (pandas.core.window.rolling.rolling method)": [[1337, "pandas.core.window.rolling.Rolling.var", false]], "var() (pandas.core.window.rolling.window method)": [[1341, "pandas.core.window.rolling.Window.var", false]], "var() (pandas.dataframe method)": [[283, "pandas.DataFrame.var", false]], "var() (pandas.series method)": [[910, "pandas.Series.var", false]], "variable_labels() (pandas.io.stata.statareader method)": [[1439, "pandas.io.stata.StataReader.variable_labels", false]], "variableoffsetwindowindexer (class in pandas.api.indexers)": [[1075, "pandas.api.indexers.VariableOffsetWindowIndexer", false]], "variation (pandas.tseries.offsets.fy5253 attribute)": [[1813, "pandas.tseries.offsets.FY5253.variation", false]], "variation (pandas.tseries.offsets.fy5253quarter attribute)": [[1836, "pandas.tseries.offsets.FY5253Quarter.variation", false]], "view() (pandas.api.extensions.extensionarray method)": [[1067, "pandas.api.extensions.ExtensionArray.view", false]], "view() (pandas.index method)": [[438, "pandas.Index.view", false]], "view() (pandas.series method)": [[911, "pandas.Series.view", false]], "view() (pandas.timedelta method)": [[937, "pandas.Timedelta.view", false]], "walk() (pandas.hdfstore method)": [[353, "pandas.HDFStore.walk", false]], "week (class in pandas.tseries.offsets)": [[2090, "pandas.tseries.offsets.Week", false]], "week (pandas.period attribute)": [[534, "pandas.Period.week", false]], "week (pandas.periodindex property)": [[564, "pandas.PeriodIndex.week", false]], "week (pandas.timestamp attribute)": [[1023, "pandas.Timestamp.week", false]], "week (pandas.tseries.offsets.lastweekofmonth attribute)": [[1874, "pandas.tseries.offsets.LastWeekOfMonth.week", false]], "week (pandas.tseries.offsets.weekofmonth attribute)": [[2125, "pandas.tseries.offsets.WeekOfMonth.week", false]], "weekday (pandas.datetimeindex property)": [[332, "pandas.DatetimeIndex.weekday", false]], "weekday (pandas.period attribute)": [[535, "pandas.Period.weekday", false]], "weekday (pandas.periodindex property)": [[565, "pandas.PeriodIndex.weekday", false]], "weekday (pandas.series.dt attribute)": [[688, "pandas.Series.dt.weekday", false]], "weekday (pandas.tseries.offsets.fy5253 attribute)": [[1814, "pandas.tseries.offsets.FY5253.weekday", false]], "weekday (pandas.tseries.offsets.fy5253quarter attribute)": [[1837, "pandas.tseries.offsets.FY5253Quarter.weekday", false]], "weekday (pandas.tseries.offsets.lastweekofmonth attribute)": [[1875, "pandas.tseries.offsets.LastWeekOfMonth.weekday", false]], "weekday (pandas.tseries.offsets.week attribute)": [[2107, "pandas.tseries.offsets.Week.weekday", false]], "weekday (pandas.tseries.offsets.weekofmonth attribute)": [[2126, "pandas.tseries.offsets.WeekOfMonth.weekday", false]], "weekday() (pandas.timestamp method)": [[1024, "pandas.Timestamp.weekday", false]], "weekmask (pandas.tseries.offsets.businessday attribute)": [[1597, "pandas.tseries.offsets.BusinessDay.weekmask", false]], "weekmask (pandas.tseries.offsets.businesshour attribute)": [[1619, "pandas.tseries.offsets.BusinessHour.weekmask", false]], "weekmask (pandas.tseries.offsets.custombusinessday attribute)": [[1676, "pandas.tseries.offsets.CustomBusinessDay.weekmask", false]], "weekmask (pandas.tseries.offsets.custombusinesshour attribute)": [[1698, "pandas.tseries.offsets.CustomBusinessHour.weekmask", false]], "weekmask (pandas.tseries.offsets.custombusinessmonthbegin attribute)": [[1719, "pandas.tseries.offsets.CustomBusinessMonthBegin.weekmask", false]], "weekmask (pandas.tseries.offsets.custombusinessmonthend attribute)": [[1740, "pandas.tseries.offsets.CustomBusinessMonthEnd.weekmask", false]], "weekofmonth (class in pandas.tseries.offsets)": [[2108, "pandas.tseries.offsets.WeekOfMonth", false]], "weekofyear (pandas.period attribute)": [[536, "pandas.Period.weekofyear", false]], "weekofyear (pandas.periodindex property)": [[566, "pandas.PeriodIndex.weekofyear", false]], "weekofyear (pandas.timestamp attribute)": [[1025, "pandas.Timestamp.weekofyear", false]], "where() (pandas.dataframe method)": [[284, "pandas.DataFrame.where", false]], "where() (pandas.index method)": [[439, "pandas.Index.where", false]], "where() (pandas.series method)": [[912, "pandas.Series.where", false]], "wide_to_long() (in module pandas)": [[2166, "pandas.wide_to_long", false]], "wrap() (pandas.series.str method)": [[873, "pandas.Series.str.wrap", false]], "write_file() (pandas.io.stata.statawriter method)": [[1440, "pandas.io.stata.StataWriter.write_file", false]], "xs() (pandas.dataframe method)": [[285, "pandas.DataFrame.xs", false]], "xs() (pandas.series method)": [[913, "pandas.Series.xs", false]], "year (pandas.datetimeindex property)": [[333, "pandas.DatetimeIndex.year", false]], "year (pandas.period attribute)": [[537, "pandas.Period.year", false]], "year (pandas.periodindex property)": [[567, "pandas.PeriodIndex.year", false]], "year (pandas.series.dt attribute)": [[689, "pandas.Series.dt.year", false]], "year (pandas.timestamp attribute)": [[1026, "pandas.Timestamp.year", false]], "year_has_extra_week() (pandas.tseries.offsets.fy5253quarter method)": [[1838, "pandas.tseries.offsets.FY5253Quarter.year_has_extra_week", false]], "yearbegin (class in pandas.tseries.offsets)": [[2127, "pandas.tseries.offsets.YearBegin", false]], "yearend (class in pandas.tseries.offsets)": [[2145, "pandas.tseries.offsets.YearEnd", false]], "zfill() (pandas.series.str method)": [[874, "pandas.Series.str.zfill", false]]}, "objects": {"": [[36, 0, 0, "-", "pandas"]], "pandas": [[37, 1, 1, "", "ArrowDtype"], [38, 1, 1, "", "BooleanDtype"], [39, 1, 1, "", "Categorical"], [46, 1, 1, "", "CategoricalDtype"], [49, 1, 1, "", "CategoricalIndex"], [63, 1, 1, "", "DataFrame"], [286, 1, 1, "", "DatetimeIndex"], [334, 1, 1, "", "DatetimeTZDtype"], [337, 1, 1, "", "ExcelFile"], [341, 1, 1, "", "ExcelWriter"], [342, 1, 1, "", "Flags"], [343, 1, 1, "", "Float32Dtype"], [344, 1, 1, "", "Float64Dtype"], [345, 1, 1, "", "Grouper"], [354, 1, 1, "", "Index"], [440, 5, 1, "", "IndexSlice"], [441, 1, 1, "", "Int16Dtype"], [442, 1, 1, "", "Int32Dtype"], [443, 1, 1, "", "Int64Dtype"], [444, 1, 1, "", "Int8Dtype"], [445, 1, 1, "", "Interval"], [457, 1, 1, "", "IntervalDtype"], [459, 1, 1, "", "IntervalIndex"], [478, 1, 1, "", "MultiIndex"], [507, 4, 1, "", "NA"], [508, 4, 1, "", "NaT"], [509, 1, 1, "", "NamedAgg"], [510, 1, 1, "", "Period"], [538, 1, 1, "", "PeriodDtype"], [540, 1, 1, "", "PeriodIndex"], [568, 1, 1, "", "RangeIndex"], [573, 1, 1, "", "Series"], [914, 1, 1, "", "SparseDtype"], [915, 1, 1, "", "StringDtype"], [916, 1, 1, "", "Timedelta"], [938, 1, 1, "", "TimedeltaIndex"], [953, 1, 1, "", "Timestamp"], [1027, 1, 1, "", "UInt16Dtype"], [1028, 1, 1, "", "UInt32Dtype"], [1029, 1, 1, "", "UInt64Dtype"], [1030, 1, 1, "", "UInt8Dtype"], [1118, 6, 1, "", "array"], [1145, 6, 1, "", "bdate_range"], [1146, 6, 1, "", "concat"], [1342, 6, 1, "", "crosstab"], [1343, 6, 1, "", "cut"], [1344, 6, 1, "", "date_range"], [1345, 5, 1, "", "describe_option"], [1387, 6, 1, "", "eval"], [1388, 6, 1, "", "factorize"], [1389, 6, 1, "", "from_dummies"], [1390, 6, 1, "", "get_dummies"], [1391, 5, 1, "", "get_option"], [1392, 6, 1, "", "infer_freq"], [1393, 6, 1, "", "interval_range"], [1441, 6, 1, "", "isna"], [1442, 6, 1, "", "isnull"], [1443, 6, 1, "", "json_normalize"], [1444, 6, 1, "", "lreshape"], [1445, 6, 1, "", "melt"], [1446, 6, 1, "", "merge"], [1447, 6, 1, "", "merge_asof"], [1448, 6, 1, "", "merge_ordered"], [1449, 6, 1, "", "notna"], [1450, 6, 1, "", "notnull"], [1451, 1, 1, "", "option_context"], [1452, 6, 1, "", "period_range"], [1453, 6, 1, "", "pivot"], [1454, 6, 1, "", "pivot_table"], [1467, 6, 1, "", "qcut"], [1468, 6, 1, "", "read_clipboard"], [1469, 6, 1, "", "read_csv"], [1470, 6, 1, "", "read_excel"], [1471, 6, 1, "", "read_feather"], [1472, 6, 1, "", "read_fwf"], [1473, 6, 1, "", "read_gbq"], [1474, 6, 1, "", "read_hdf"], [1475, 6, 1, "", "read_html"], [1476, 6, 1, "", "read_json"], [1477, 6, 1, "", "read_orc"], [1478, 6, 1, "", "read_parquet"], [1479, 6, 1, "", "read_pickle"], [1480, 6, 1, "", "read_sas"], [1481, 6, 1, "", "read_spss"], [1482, 6, 1, "", "read_sql"], [1483, 6, 1, "", "read_sql_query"], [1484, 6, 1, "", "read_sql_table"], [1485, 6, 1, "", "read_stata"], [1486, 6, 1, "", "read_table"], [1487, 6, 1, "", "read_xml"], [1488, 5, 1, "", "reset_option"], [1489, 6, 1, "", "set_eng_float_format"], [1490, 5, 1, "", "set_option"], [1491, 6, 1, "", "show_versions"], [1492, 6, 1, "", "test"], [1497, 6, 1, "", "timedelta_range"], [1498, 6, 1, "", "to_datetime"], [1499, 6, 1, "", "to_numeric"], [1500, 6, 1, "", "to_timedelta"], [2163, 6, 1, "", "unique"], [2166, 6, 1, "", "wide_to_long"]], "pandas.Categorical": [[40, 2, 1, "", "__array__"], [41, 3, 1, "", "categories"], [42, 3, 1, "", "codes"], [43, 3, 1, "", "dtype"], [44, 2, 1, "", "from_codes"], [45, 3, 1, "", "ordered"]], "pandas.CategoricalDtype": [[47, 3, 1, "", "categories"], [48, 3, 1, "", "ordered"]], "pandas.CategoricalIndex": [[50, 2, 1, "", "add_categories"], [51, 2, 1, "", "as_ordered"], [52, 2, 1, "", "as_unordered"], [53, 3, 1, "", "categories"], [54, 3, 1, "", "codes"], [55, 2, 1, "", "equals"], [56, 2, 1, "", "map"], [57, 3, 1, "", "ordered"], [58, 2, 1, "", "remove_categories"], [59, 2, 1, "", "remove_unused_categories"], [60, 2, 1, "", "rename_categories"], [61, 2, 1, "", "reorder_categories"], [62, 2, 1, "", "set_categories"]], "pandas.DataFrame": [[64, 3, 1, "", "T"], [65, 2, 1, "", "__add__"], [66, 2, 1, "", "__dataframe__"], [67, 2, 1, "", "__iter__"], [68, 2, 1, "", "abs"], [69, 2, 1, "", "add"], [70, 2, 1, "", "add_prefix"], [71, 2, 1, "", "add_suffix"], [72, 2, 1, "", "agg"], [73, 2, 1, "", "aggregate"], [74, 2, 1, "", "align"], [75, 2, 1, "", "all"], [76, 2, 1, "", "any"], [77, 2, 1, "", "apply"], [78, 2, 1, "", "applymap"], [79, 2, 1, "", "asfreq"], [80, 2, 1, "", "asof"], [81, 2, 1, "", "assign"], [82, 2, 1, "", "astype"], [83, 3, 1, "", "at"], [84, 2, 1, "", "at_time"], [85, 3, 1, "", "attrs"], [86, 3, 1, "", "axes"], [87, 2, 1, "", "backfill"], [88, 2, 1, "", "between_time"], [89, 2, 1, "", "bfill"], [90, 2, 1, "", "bool"], [91, 2, 1, "", "boxplot"], [92, 2, 1, "", "clip"], [93, 4, 1, "", "columns"], [94, 2, 1, "", "combine"], [95, 2, 1, "", "combine_first"], [96, 2, 1, "", "compare"], [97, 2, 1, "", "convert_dtypes"], [98, 2, 1, "", "copy"], [99, 2, 1, "", "corr"], [100, 2, 1, "", "corrwith"], [101, 2, 1, "", "count"], [102, 2, 1, "", "cov"], [103, 2, 1, "", "cummax"], [104, 2, 1, "", "cummin"], [105, 2, 1, "", "cumprod"], [106, 2, 1, "", "cumsum"], [107, 2, 1, "", "describe"], [108, 2, 1, "", "diff"], [109, 2, 1, "", "div"], [110, 2, 1, "", "dot"], [111, 2, 1, "", "drop"], [112, 2, 1, "", "drop_duplicates"], [113, 2, 1, "", "droplevel"], [114, 2, 1, "", "dropna"], [115, 3, 1, "", "dtypes"], [116, 2, 1, "", "duplicated"], [117, 3, 1, "", "empty"], [118, 2, 1, "", "eq"], [119, 2, 1, "", "equals"], [120, 2, 1, "", "eval"], [121, 2, 1, "", "ewm"], [122, 2, 1, "", "expanding"], [123, 2, 1, "", "explode"], [124, 2, 1, "", "ffill"], [125, 2, 1, "", "fillna"], [126, 2, 1, "", "filter"], [127, 2, 1, "", "first"], [128, 2, 1, "", "first_valid_index"], [129, 2, 1, "", "floordiv"], [130, 2, 1, "", "from_dict"], [131, 2, 1, "", "from_records"], [132, 2, 1, "", "ge"], [133, 2, 1, "", "get"], [134, 2, 1, "", "groupby"], [135, 2, 1, "", "gt"], [136, 2, 1, "", "head"], [137, 2, 1, "", "hist"], [138, 3, 1, "", "iat"], [139, 2, 1, "", "idxmax"], [140, 2, 1, "", "idxmin"], [141, 3, 1, "", "iloc"], [142, 4, 1, "", "index"], [143, 2, 1, "", "infer_objects"], [144, 2, 1, "", "info"], [145, 2, 1, "", "insert"], [146, 2, 1, "", "interpolate"], [147, 2, 1, "", "isin"], [148, 2, 1, "", "isna"], [149, 2, 1, "", "isnull"], [150, 2, 1, "", "items"], [151, 2, 1, "", "iterrows"], [152, 2, 1, "", "itertuples"], [153, 2, 1, "", "join"], [154, 2, 1, "", "keys"], [155, 2, 1, "", "kurt"], [156, 2, 1, "", "kurtosis"], [157, 2, 1, "", "last"], [158, 2, 1, "", "last_valid_index"], [159, 2, 1, "", "le"], [160, 3, 1, "", "loc"], [161, 2, 1, "", "lt"], [162, 2, 1, "", "map"], [163, 2, 1, "", "mask"], [164, 2, 1, "", "max"], [165, 2, 1, "", "mean"], [166, 2, 1, "", "median"], [167, 2, 1, "", "melt"], [168, 2, 1, "", "memory_usage"], [169, 2, 1, "", "merge"], [170, 2, 1, "", "min"], [171, 2, 1, "", "mod"], [172, 2, 1, "", "mode"], [173, 2, 1, "", "mul"], [174, 3, 1, "", "ndim"], [175, 2, 1, "", "ne"], [176, 2, 1, "", "nlargest"], [177, 2, 1, "", "notna"], [178, 2, 1, "", "notnull"], [179, 2, 1, "", "nsmallest"], [180, 2, 1, "", "nunique"], [181, 2, 1, "", "pad"], [182, 2, 1, "", "pct_change"], [183, 2, 1, "", "pipe"], [184, 2, 1, "", "pivot"], [185, 2, 1, "", "pivot_table"], [186, 2, 1, "", "plot"], [198, 2, 1, "", "pop"], [199, 2, 1, "", "pow"], [200, 2, 1, "", "prod"], [201, 2, 1, "", "product"], [202, 2, 1, "", "quantile"], [203, 2, 1, "", "query"], [204, 2, 1, "", "radd"], [205, 2, 1, "", "rank"], [206, 2, 1, "", "rdiv"], [207, 2, 1, "", "reindex"], [208, 2, 1, "", "reindex_like"], [209, 2, 1, "", "rename"], [210, 2, 1, "", "rename_axis"], [211, 2, 1, "", "reorder_levels"], [212, 2, 1, "", "replace"], [213, 2, 1, "", "resample"], [214, 2, 1, "", "reset_index"], [215, 2, 1, "", "rfloordiv"], [216, 2, 1, "", "rmod"], [217, 2, 1, "", "rmul"], [218, 2, 1, "", "rolling"], [219, 2, 1, "", "round"], [220, 2, 1, "", "rpow"], [221, 2, 1, "", "rsub"], [222, 2, 1, "", "rtruediv"], [223, 2, 1, "", "sample"], [224, 2, 1, "", "select_dtypes"], [225, 2, 1, "", "sem"], [226, 2, 1, "", "set_axis"], [227, 2, 1, "", "set_flags"], [228, 2, 1, "", "set_index"], [229, 3, 1, "", "shape"], [230, 2, 1, "", "shift"], [231, 3, 1, "", "size"], [232, 2, 1, "", "skew"], [233, 2, 1, "", "sort_index"], [234, 2, 1, "", "sort_values"], [235, 2, 1, "", "sparse"], [240, 2, 1, "", "squeeze"], [241, 2, 1, "", "stack"], [242, 2, 1, "", "std"], [243, 3, 1, "", "style"], [244, 2, 1, "", "sub"], [245, 2, 1, "", "sum"], [246, 2, 1, "", "swapaxes"], [247, 2, 1, "", "swaplevel"], [248, 2, 1, "", "tail"], [249, 2, 1, "", "take"], [250, 2, 1, "", "to_clipboard"], [251, 2, 1, "", "to_csv"], [252, 2, 1, "", "to_dict"], [253, 2, 1, "", "to_excel"], [254, 2, 1, "", "to_feather"], [255, 2, 1, "", "to_gbq"], [256, 2, 1, "", "to_hdf"], [257, 2, 1, "", "to_html"], [258, 2, 1, "", "to_json"], [259, 2, 1, "", "to_latex"], [260, 2, 1, "", "to_markdown"], [261, 2, 1, "", "to_numpy"], [262, 2, 1, "", "to_orc"], [263, 2, 1, "", "to_parquet"], [264, 2, 1, "", "to_period"], [265, 2, 1, "", "to_pickle"], [266, 2, 1, "", "to_records"], [267, 2, 1, "", "to_sql"], [268, 2, 1, "", "to_stata"], [269, 2, 1, "", "to_string"], [270, 2, 1, "", "to_timestamp"], [271, 2, 1, "", "to_xarray"], [272, 2, 1, "", "to_xml"], [273, 2, 1, "", "transform"], [274, 2, 1, "", "transpose"], [275, 2, 1, "", "truediv"], [276, 2, 1, "", "truncate"], [277, 2, 1, "", "tz_convert"], [278, 2, 1, "", "tz_localize"], [279, 2, 1, "", "unstack"], [280, 2, 1, "", "update"], [281, 2, 1, "", "value_counts"], [282, 3, 1, "", "values"], [283, 2, 1, "", "var"], [284, 2, 1, "", "where"], [285, 2, 1, "", "xs"]], "pandas.DataFrame.plot": [[187, 2, 1, "", "area"], [188, 2, 1, "", "bar"], [189, 2, 1, "", "barh"], [190, 2, 1, "", "box"], [191, 2, 1, "", "density"], [192, 2, 1, "", "hexbin"], [193, 2, 1, "", "hist"], [194, 2, 1, "", "kde"], [195, 2, 1, "", "line"], [196, 2, 1, "", "pie"], [197, 2, 1, "", "scatter"]], "pandas.DataFrame.sparse": [[236, 4, 1, "", "density"], [237, 2, 1, "", "from_spmatrix"], [238, 2, 1, "", "to_coo"], [239, 2, 1, "", "to_dense"]], "pandas.DatetimeIndex": [[287, 2, 1, "", "as_unit"], [288, 2, 1, "", "ceil"], [289, 3, 1, "", "date"], [290, 3, 1, "", "day"], [291, 2, 1, "", "day_name"], [292, 3, 1, "", "day_of_week"], [293, 3, 1, "", "day_of_year"], [294, 3, 1, "", "dayofweek"], [295, 3, 1, "", "dayofyear"], [296, 2, 1, "", "floor"], [297, 3, 1, "", "freq"], [298, 3, 1, "", "freqstr"], [299, 3, 1, "", "hour"], [300, 2, 1, "", "indexer_at_time"], [301, 2, 1, "", "indexer_between_time"], [302, 4, 1, "", "inferred_freq"], [303, 3, 1, "", "is_leap_year"], [304, 3, 1, "", "is_month_end"], [305, 3, 1, "", "is_month_start"], [306, 3, 1, "", "is_quarter_end"], [307, 3, 1, "", "is_quarter_start"], [308, 3, 1, "", "is_year_end"], [309, 3, 1, "", "is_year_start"], [310, 2, 1, "", "mean"], [311, 3, 1, "", "microsecond"], [312, 3, 1, "", "minute"], [313, 3, 1, "", "month"], [314, 2, 1, "", "month_name"], [315, 3, 1, "", "nanosecond"], [316, 2, 1, "", "normalize"], [317, 3, 1, "", "quarter"], [318, 2, 1, "", "round"], [319, 3, 1, "", "second"], [320, 2, 1, "", "snap"], [321, 2, 1, "", "std"], [322, 2, 1, "", "strftime"], [323, 3, 1, "", "time"], [324, 3, 1, "", "timetz"], [325, 2, 1, "", "to_frame"], [326, 2, 1, "", "to_period"], [327, 2, 1, "", "to_pydatetime"], [328, 2, 1, "", "to_series"], [329, 3, 1, "", "tz"], [330, 2, 1, "", "tz_convert"], [331, 2, 1, "", "tz_localize"], [332, 3, 1, "", "weekday"], [333, 3, 1, "", "year"]], "pandas.DatetimeTZDtype": [[335, 3, 1, "", "tz"], [336, 3, 1, "", "unit"]], "pandas.ExcelFile": [[338, 3, 1, "", "book"], [339, 2, 1, "", "parse"], [340, 3, 1, "", "sheet_names"]], "pandas.HDFStore": [[346, 2, 1, "", "append"], [347, 2, 1, "", "get"], [348, 2, 1, "", "groups"], [349, 2, 1, "", "info"], [350, 2, 1, "", "keys"], [351, 2, 1, "", "put"], [352, 2, 1, "", "select"], [353, 2, 1, "", "walk"]], "pandas.Index": [[355, 3, 1, "", "T"], [356, 2, 1, "", "all"], [357, 2, 1, "", "any"], [358, 2, 1, "", "append"], [359, 2, 1, "", "argmax"], [360, 2, 1, "", "argmin"], [361, 2, 1, "", "argsort"], [362, 2, 1, "", "asof"], [363, 2, 1, "", "asof_locs"], [364, 2, 1, "", "astype"], [365, 2, 1, "", "copy"], [366, 2, 1, "", "delete"], [367, 2, 1, "", "difference"], [368, 2, 1, "", "drop"], [369, 2, 1, "", "drop_duplicates"], [370, 2, 1, "", "droplevel"], [371, 2, 1, "", "dropna"], [372, 4, 1, "", "dtype"], [373, 2, 1, "", "duplicated"], [374, 3, 1, "", "empty"], [375, 2, 1, "", "equals"], [376, 2, 1, "", "factorize"], [377, 2, 1, "", "fillna"], [378, 2, 1, "", "get_indexer"], [379, 2, 1, "", "get_indexer_for"], [380, 2, 1, "", "get_indexer_non_unique"], [381, 2, 1, "", "get_level_values"], [382, 2, 1, "", "get_loc"], [383, 2, 1, "", "get_slice_bound"], [384, 3, 1, "", "has_duplicates"], [385, 4, 1, "", "hasnans"], [386, 2, 1, "", "identical"], [387, 4, 1, "", "inferred_type"], [388, 2, 1, "", "insert"], [389, 2, 1, "", "intersection"], [390, 2, 1, "", "is_"], [391, 2, 1, "", "is_boolean"], [392, 2, 1, "", "is_categorical"], [393, 2, 1, "", "is_floating"], [394, 2, 1, "", "is_integer"], [395, 2, 1, "", "is_interval"], [396, 3, 1, "", "is_monotonic_decreasing"], [397, 3, 1, "", "is_monotonic_increasing"], [398, 2, 1, "", "is_numeric"], [399, 2, 1, "", "is_object"], [400, 4, 1, "", "is_unique"], [401, 2, 1, "", "isin"], [402, 2, 1, "", "isna"], [403, 2, 1, "", "item"], [404, 2, 1, "", "join"], [405, 2, 1, "", "map"], [406, 2, 1, "", "max"], [407, 2, 1, "", "memory_usage"], [408, 2, 1, "", "min"], [409, 3, 1, "", "name"], [410, 3, 1, "", "names"], [411, 3, 1, "", "nbytes"], [412, 3, 1, "", "ndim"], [413, 2, 1, "", "notna"], [414, 2, 1, "", "nunique"], [415, 2, 1, "", "putmask"], [416, 2, 1, "", "ravel"], [417, 2, 1, "", "reindex"], [418, 2, 1, "", "rename"], [419, 2, 1, "", "repeat"], [420, 2, 1, "", "searchsorted"], [421, 2, 1, "", "set_names"], [422, 3, 1, "", "shape"], [423, 2, 1, "", "shift"], [424, 3, 1, "", "size"], [425, 2, 1, "", "slice_indexer"], [426, 2, 1, "", "slice_locs"], [427, 2, 1, "", "sort_values"], [428, 2, 1, "", "str"], [429, 2, 1, "", "symmetric_difference"], [430, 2, 1, "", "take"], [431, 2, 1, "", "to_frame"], [432, 2, 1, "", "to_list"], [433, 2, 1, "", "to_series"], [434, 2, 1, "", "union"], [435, 2, 1, "", "unique"], [436, 2, 1, "", "value_counts"], [437, 3, 1, "", "values"], [438, 2, 1, "", "view"], [439, 2, 1, "", "where"]], "pandas.Interval": [[446, 4, 1, "", "closed"], [447, 4, 1, "", "closed_left"], [448, 4, 1, "", "closed_right"], [449, 4, 1, "", "is_empty"], [450, 4, 1, "", "left"], [451, 4, 1, "", "length"], [452, 4, 1, "", "mid"], [453, 4, 1, "", "open_left"], [454, 4, 1, "", "open_right"], [455, 2, 1, "", "overlaps"], [456, 4, 1, "", "right"]], "pandas.IntervalDtype": [[458, 3, 1, "", "subtype"]], "pandas.IntervalIndex": [[460, 4, 1, "", "closed"], [461, 2, 1, "", "contains"], [462, 2, 1, "", "from_arrays"], [463, 2, 1, "", "from_breaks"], [464, 2, 1, "", "from_tuples"], [465, 2, 1, "", "get_indexer"], [466, 2, 1, "", "get_loc"], [467, 3, 1, "", "is_empty"], [468, 4, 1, "", "is_non_overlapping_monotonic"], [469, 3, 1, "", "is_overlapping"], [470, 4, 1, "", "left"], [471, 3, 1, "", "length"], [472, 4, 1, "", "mid"], [473, 2, 1, "", "overlaps"], [474, 4, 1, "", "right"], [475, 2, 1, "", "set_closed"], [476, 2, 1, "", "to_tuples"], [477, 3, 1, "", "values"]], "pandas.MultiIndex": [[479, 2, 1, "", "append"], [480, 3, 1, "", "codes"], [481, 2, 1, "", "copy"], [482, 2, 1, "", "drop"], [483, 2, 1, "", "droplevel"], [484, 4, 1, "", "dtypes"], [485, 2, 1, "", "from_arrays"], [486, 2, 1, "", "from_frame"], [487, 2, 1, "", "from_product"], [488, 2, 1, "", "from_tuples"], [489, 2, 1, "", "get_indexer"], [490, 2, 1, "", "get_level_values"], [491, 2, 1, "", "get_loc"], [492, 2, 1, "", "get_loc_level"], [493, 2, 1, "", "get_locs"], [494, 4, 1, "", "levels"], [495, 3, 1, "", "levshape"], [496, 3, 1, "", "names"], [497, 3, 1, "", "nlevels"], [498, 2, 1, "", "remove_unused_levels"], [499, 2, 1, "", "reorder_levels"], [500, 2, 1, "", "set_codes"], [501, 2, 1, "", "set_levels"], [502, 2, 1, "", "sortlevel"], [503, 2, 1, "", "swaplevel"], [504, 2, 1, "", "to_flat_index"], [505, 2, 1, "", "to_frame"], [506, 2, 1, "", "truncate"]], "pandas.Period": [[511, 2, 1, "", "asfreq"], [512, 4, 1, "", "day"], [513, 4, 1, "", "day_of_week"], [514, 4, 1, "", "day_of_year"], [515, 4, 1, "", "dayofweek"], [516, 4, 1, "", "dayofyear"], [517, 4, 1, "", "days_in_month"], [518, 4, 1, "", "daysinmonth"], [519, 4, 1, "", "end_time"], [520, 4, 1, "", "freq"], [521, 4, 1, "", "freqstr"], [522, 4, 1, "", "hour"], [523, 4, 1, "", "is_leap_year"], [524, 4, 1, "", "minute"], [525, 4, 1, "", "month"], [526, 2, 1, "", "now"], [527, 4, 1, "", "ordinal"], [528, 4, 1, "", "quarter"], [529, 4, 1, "", "qyear"], [530, 4, 1, "", "second"], [531, 4, 1, "", "start_time"], [532, 2, 1, "", "strftime"], [533, 2, 1, "", "to_timestamp"], [534, 4, 1, "", "week"], [535, 4, 1, "", "weekday"], [536, 4, 1, "", "weekofyear"], [537, 4, 1, "", "year"]], "pandas.PeriodDtype": [[539, 3, 1, "", "freq"]], "pandas.PeriodIndex": [[541, 2, 1, "", "asfreq"], [542, 3, 1, "", "day"], [543, 3, 1, "", "day_of_week"], [544, 3, 1, "", "day_of_year"], [545, 3, 1, "", "dayofweek"], [546, 3, 1, "", "dayofyear"], [547, 3, 1, "", "days_in_month"], [548, 3, 1, "", "daysinmonth"], [549, 3, 1, "", "end_time"], [550, 3, 1, "", "freq"], [551, 3, 1, "", "freqstr"], [552, 2, 1, "", "from_fields"], [553, 2, 1, "", "from_ordinals"], [554, 3, 1, "", "hour"], [555, 3, 1, "", "is_leap_year"], [556, 3, 1, "", "minute"], [557, 3, 1, "", "month"], [558, 3, 1, "", "quarter"], [559, 3, 1, "", "qyear"], [560, 3, 1, "", "second"], [561, 3, 1, "", "start_time"], [562, 2, 1, "", "strftime"], [563, 2, 1, "", "to_timestamp"], [564, 3, 1, "", "week"], [565, 3, 1, "", "weekday"], [566, 3, 1, "", "weekofyear"], [567, 3, 1, "", "year"]], "pandas.RangeIndex": [[569, 2, 1, "", "from_range"], [570, 3, 1, "", "start"], [571, 3, 1, "", "step"], [572, 3, 1, "", "stop"]], "pandas.Series": [[574, 3, 1, "", "T"], [575, 2, 1, "", "__array__"], [576, 2, 1, "", "__iter__"], [577, 2, 1, "", "abs"], [578, 2, 1, "", "add"], [579, 2, 1, "", "add_prefix"], [580, 2, 1, "", "add_suffix"], [581, 2, 1, "", "agg"], [582, 2, 1, "", "aggregate"], [583, 2, 1, "", "align"], [584, 2, 1, "", "all"], [585, 2, 1, "", "any"], [586, 2, 1, "", "apply"], [587, 2, 1, "", "argmax"], [588, 2, 1, "", "argmin"], [589, 2, 1, "", "argsort"], [590, 3, 1, "", "array"], [591, 2, 1, "", "asfreq"], [592, 2, 1, "", "asof"], [593, 2, 1, "", "astype"], [594, 3, 1, "", "at"], [595, 2, 1, "", "at_time"], [596, 3, 1, "", "attrs"], [597, 2, 1, "", "autocorr"], [598, 2, 1, "", "backfill"], [599, 2, 1, "", "between"], [600, 2, 1, "", "between_time"], [601, 2, 1, "", "bfill"], [602, 2, 1, "", "bool"], [603, 2, 1, "", "case_when"], [604, 2, 1, "", "cat"], [616, 2, 1, "", "clip"], [617, 2, 1, "", "combine"], [618, 2, 1, "", "combine_first"], [619, 2, 1, "", "compare"], [620, 2, 1, "", "convert_dtypes"], [621, 2, 1, "", "copy"], [622, 2, 1, "", "corr"], [623, 2, 1, "", "count"], [624, 2, 1, "", "cov"], [625, 2, 1, "", "cummax"], [626, 2, 1, "", "cummin"], [627, 2, 1, "", "cumprod"], [628, 2, 1, "", "cumsum"], [629, 2, 1, "", "describe"], [630, 2, 1, "", "diff"], [631, 2, 1, "", "div"], [632, 2, 1, "", "dot"], [633, 2, 1, "", "drop"], [634, 2, 1, "", "drop_duplicates"], [635, 2, 1, "", "droplevel"], [636, 2, 1, "", "dropna"], [637, 2, 1, "", "dt"], [690, 3, 1, "", "dtype"], [691, 3, 1, "", "dtypes"], [692, 2, 1, "", "duplicated"], [693, 3, 1, "", "empty"], [694, 2, 1, "", "eq"], [695, 2, 1, "", "equals"], [696, 2, 1, "", "ewm"], [697, 2, 1, "", "expanding"], [698, 2, 1, "", "explode"], [699, 2, 1, "", "factorize"], [700, 2, 1, "", "ffill"], [701, 2, 1, "", "fillna"], [702, 2, 1, "", "filter"], [703, 2, 1, "", "first"], [704, 2, 1, "", "first_valid_index"], [705, 3, 1, "", "flags"], [706, 2, 1, "", "floordiv"], [707, 2, 1, "", "ge"], [708, 2, 1, "", "get"], [709, 2, 1, "", "groupby"], [710, 2, 1, "", "gt"], [711, 3, 1, "", "hasnans"], [712, 2, 1, "", "head"], [713, 2, 1, "", "hist"], [714, 3, 1, "", "iat"], [715, 2, 1, "", "idxmax"], [716, 2, 1, "", "idxmin"], [717, 3, 1, "", "iloc"], [718, 4, 1, "", "index"], [719, 2, 1, "", "infer_objects"], [720, 2, 1, "", "interpolate"], [721, 3, 1, "", "is_monotonic_decreasing"], [722, 3, 1, "", "is_monotonic_increasing"], [723, 3, 1, "", "is_unique"], [724, 2, 1, "", "isin"], [725, 2, 1, "", "isna"], [726, 2, 1, "", "isnull"], [727, 2, 1, "", "item"], [728, 2, 1, "", "items"], [729, 2, 1, "", "keys"], [730, 2, 1, "", "kurt"], [731, 2, 1, "", "kurtosis"], [732, 2, 1, "", "last"], [733, 2, 1, "", "last_valid_index"], [734, 2, 1, "", "le"], [738, 3, 1, "", "loc"], [739, 2, 1, "", "lt"], [740, 2, 1, "", "map"], [741, 2, 1, "", "mask"], [742, 2, 1, "", "max"], [743, 2, 1, "", "mean"], [744, 2, 1, "", "median"], [745, 2, 1, "", "memory_usage"], [746, 2, 1, "", "min"], [747, 2, 1, "", "mod"], [748, 2, 1, "", "mode"], [749, 2, 1, "", "mul"], [750, 3, 1, "", "name"], [751, 3, 1, "", "nbytes"], [752, 3, 1, "", "ndim"], [753, 2, 1, "", "ne"], [754, 2, 1, "", "nlargest"], [755, 2, 1, "", "notna"], [756, 2, 1, "", "notnull"], [757, 2, 1, "", "nsmallest"], [758, 2, 1, "", "nunique"], [759, 2, 1, "", "pad"], [760, 2, 1, "", "pct_change"], [761, 2, 1, "", "pipe"], [762, 2, 1, "", "plot"], [772, 2, 1, "", "pop"], [773, 2, 1, "", "pow"], [774, 2, 1, "", "prod"], [775, 2, 1, "", "product"], [776, 2, 1, "", "quantile"], [777, 2, 1, "", "radd"], [778, 2, 1, "", "rank"], [779, 2, 1, "", "ravel"], [780, 2, 1, "", "rdiv"], [781, 2, 1, "", "reindex"], [782, 2, 1, "", "reindex_like"], [783, 2, 1, "", "rename"], [784, 2, 1, "", "rename_axis"], [785, 2, 1, "", "reorder_levels"], [786, 2, 1, "", "repeat"], [787, 2, 1, "", "replace"], [788, 2, 1, "", "resample"], [789, 2, 1, "", "reset_index"], [790, 2, 1, "", "rfloordiv"], [791, 2, 1, "", "rmod"], [792, 2, 1, "", "rmul"], [793, 2, 1, "", "rolling"], [794, 2, 1, "", "round"], [795, 2, 1, "", "rpow"], [796, 2, 1, "", "rsub"], [797, 2, 1, "", "rtruediv"], [798, 2, 1, "", "sample"], [799, 2, 1, "", "searchsorted"], [800, 2, 1, "", "sem"], [801, 2, 1, "", "set_axis"], [802, 2, 1, "", "set_flags"], [803, 3, 1, "", "shape"], [804, 2, 1, "", "shift"], [805, 3, 1, "", "size"], [806, 2, 1, "", "skew"], [807, 2, 1, "", "sort_index"], [808, 2, 1, "", "sort_values"], [809, 2, 1, "", "sparse"], [816, 2, 1, "", "squeeze"], [817, 2, 1, "", "std"], [818, 2, 1, "", "str"], [878, 2, 1, "", "sub"], [879, 2, 1, "", "sum"], [880, 2, 1, "", "swaplevel"], [881, 2, 1, "", "tail"], [882, 2, 1, "", "take"], [883, 2, 1, "", "to_clipboard"], [884, 2, 1, "", "to_csv"], [885, 2, 1, "", "to_dict"], [886, 2, 1, "", "to_excel"], [887, 2, 1, "", "to_frame"], [888, 2, 1, "", "to_hdf"], [889, 2, 1, "", "to_json"], [890, 2, 1, "", "to_latex"], [891, 2, 1, "", "to_list"], [892, 2, 1, "", "to_markdown"], [893, 2, 1, "", "to_numpy"], [894, 2, 1, "", "to_period"], [895, 2, 1, "", "to_pickle"], [896, 2, 1, "", "to_sql"], [897, 2, 1, "", "to_string"], [898, 2, 1, "", "to_timestamp"], [899, 2, 1, "", "to_xarray"], [900, 2, 1, "", "transform"], [901, 2, 1, "", "truediv"], [902, 2, 1, "", "truncate"], [903, 2, 1, "", "tz_convert"], [904, 2, 1, "", "tz_localize"], [905, 2, 1, "", "unique"], [906, 2, 1, "", "unstack"], [907, 2, 1, "", "update"], [908, 2, 1, "", "value_counts"], [909, 3, 1, "", "values"], [910, 2, 1, "", "var"], [911, 2, 1, "", "view"], [912, 2, 1, "", "where"], [913, 2, 1, "", "xs"]], "pandas.Series.cat": [[605, 2, 1, "", "add_categories"], [606, 2, 1, "", "as_ordered"], [607, 2, 1, "", "as_unordered"], [608, 4, 1, "", "categories"], [609, 4, 1, "", "codes"], [610, 4, 1, "", "ordered"], [611, 2, 1, "", "remove_categories"], [612, 2, 1, "", "remove_unused_categories"], [613, 2, 1, "", "rename_categories"], [614, 2, 1, "", "reorder_categories"], [615, 2, 1, "", "set_categories"]], "pandas.Series.dt": [[638, 2, 1, "", "as_unit"], [639, 2, 1, "", "ceil"], [640, 4, 1, "", "components"], [641, 4, 1, "", "date"], [642, 4, 1, "", "day"], [643, 2, 1, "", "day_name"], [644, 4, 1, "", "day_of_week"], [645, 4, 1, "", "day_of_year"], [646, 4, 1, "", "dayofweek"], [647, 4, 1, "", "dayofyear"], [648, 4, 1, "", "days"], [649, 4, 1, "", "days_in_month"], [650, 4, 1, "", "daysinmonth"], [651, 4, 1, "", "end_time"], [652, 2, 1, "", "floor"], [653, 4, 1, "", "freq"], [654, 4, 1, "", "hour"], [655, 4, 1, "", "is_leap_year"], [656, 4, 1, "", "is_month_end"], [657, 4, 1, "", "is_month_start"], [658, 4, 1, "", "is_quarter_end"], [659, 4, 1, "", "is_quarter_start"], [660, 4, 1, "", "is_year_end"], [661, 4, 1, "", "is_year_start"], [662, 2, 1, "", "isocalendar"], [663, 4, 1, "", "microsecond"], [664, 4, 1, "", "microseconds"], [665, 4, 1, "", "minute"], [666, 4, 1, "", "month"], [667, 2, 1, "", "month_name"], [668, 4, 1, "", "nanosecond"], [669, 4, 1, "", "nanoseconds"], [670, 2, 1, "", "normalize"], [671, 4, 1, "", "quarter"], [672, 4, 1, "", "qyear"], [673, 2, 1, "", "round"], [674, 4, 1, "", "second"], [675, 4, 1, "", "seconds"], [676, 4, 1, "", "start_time"], [677, 2, 1, "", "strftime"], [678, 4, 1, "", "time"], [679, 4, 1, "", "timetz"], [680, 2, 1, "", "to_period"], [681, 2, 1, "", "to_pydatetime"], [682, 2, 1, "", "to_pytimedelta"], [683, 2, 1, "", "total_seconds"], [684, 4, 1, "", "tz"], [685, 2, 1, "", "tz_convert"], [686, 2, 1, "", "tz_localize"], [687, 4, 1, "", "unit"], [688, 4, 1, "", "weekday"], [689, 4, 1, "", "year"]], "pandas.Series.list": [[735, 2, 1, "", "__getitem__"], [736, 2, 1, "", "flatten"], [737, 2, 1, "", "len"]], "pandas.Series.plot": [[763, 2, 1, "", "area"], [764, 2, 1, "", "bar"], [765, 2, 1, "", "barh"], [766, 2, 1, "", "box"], [767, 2, 1, "", "density"], [768, 2, 1, "", "hist"], [769, 2, 1, "", "kde"], [770, 2, 1, "", "line"], [771, 2, 1, "", "pie"]], "pandas.Series.sparse": [[810, 4, 1, "", "density"], [811, 4, 1, "", "fill_value"], [812, 2, 1, "", "from_coo"], [813, 4, 1, "", "npoints"], [814, 4, 1, "", "sp_values"], [815, 2, 1, "", "to_coo"]], "pandas.Series.str": [[819, 2, 1, "", "capitalize"], [820, 2, 1, "", "casefold"], [821, 2, 1, "", "cat"], [822, 2, 1, "", "center"], [823, 2, 1, "", "contains"], [824, 2, 1, "", "count"], [825, 2, 1, "", "decode"], [826, 2, 1, "", "encode"], [827, 2, 1, "", "endswith"], [828, 2, 1, "", "extract"], [829, 2, 1, "", "extractall"], [830, 2, 1, "", "find"], [831, 2, 1, "", "findall"], [832, 2, 1, "", "fullmatch"], [833, 2, 1, "", "get"], [834, 2, 1, "", "get_dummies"], [835, 2, 1, "", "index"], [836, 2, 1, "", "isalnum"], [837, 2, 1, "", "isalpha"], [838, 2, 1, "", "isdecimal"], [839, 2, 1, "", "isdigit"], [840, 2, 1, "", "islower"], [841, 2, 1, "", "isnumeric"], [842, 2, 1, "", "isspace"], [843, 2, 1, "", "istitle"], [844, 2, 1, "", "isupper"], [845, 2, 1, "", "join"], [846, 2, 1, "", "len"], [847, 2, 1, "", "ljust"], [848, 2, 1, "", "lower"], [849, 2, 1, "", "lstrip"], [850, 2, 1, "", "match"], [851, 2, 1, "", "normalize"], [852, 2, 1, "", "pad"], [853, 2, 1, "", "partition"], [854, 2, 1, "", "removeprefix"], [855, 2, 1, "", "removesuffix"], [856, 2, 1, "", "repeat"], [857, 2, 1, "", "replace"], [858, 2, 1, "", "rfind"], [859, 2, 1, "", "rindex"], [860, 2, 1, "", "rjust"], [861, 2, 1, "", "rpartition"], [862, 2, 1, "", "rsplit"], [863, 2, 1, "", "rstrip"], [864, 2, 1, "", "slice"], [865, 2, 1, "", "slice_replace"], [866, 2, 1, "", "split"], [867, 2, 1, "", "startswith"], [868, 2, 1, "", "strip"], [869, 2, 1, "", "swapcase"], [870, 2, 1, "", "title"], [871, 2, 1, "", "translate"], [872, 2, 1, "", "upper"], [873, 2, 1, "", "wrap"], [874, 2, 1, "", "zfill"]], "pandas.Series.struct": [[875, 4, 1, "", "dtypes"], [876, 2, 1, "", "explode"], [877, 2, 1, "", "field"]], "pandas.Timedelta": [[917, 2, 1, "", "as_unit"], [918, 4, 1, "", "asm8"], [919, 2, 1, "", "ceil"], [920, 4, 1, "", "components"], [921, 4, 1, "", "days"], [922, 2, 1, "", "floor"], [923, 2, 1, "", "isoformat"], [924, 4, 1, "", "max"], [925, 4, 1, "", "microseconds"], [926, 4, 1, "", "min"], [927, 4, 1, "", "nanoseconds"], [928, 4, 1, "", "resolution"], [929, 2, 1, "", "round"], [930, 4, 1, "", "seconds"], [931, 2, 1, "", "to_numpy"], [932, 2, 1, "", "to_pytimedelta"], [933, 2, 1, "", "to_timedelta64"], [934, 2, 1, "", "total_seconds"], [935, 4, 1, "", "unit"], [936, 4, 1, "", "value"], [937, 2, 1, "", "view"]], "pandas.TimedeltaIndex": [[939, 2, 1, "", "as_unit"], [940, 2, 1, "", "ceil"], [941, 3, 1, "", "components"], [942, 3, 1, "", "days"], [943, 2, 1, "", "floor"], [944, 4, 1, "", "inferred_freq"], [945, 2, 1, "", "mean"], [946, 3, 1, "", "microseconds"], [947, 3, 1, "", "nanoseconds"], [948, 2, 1, "", "round"], [949, 3, 1, "", "seconds"], [950, 2, 1, "", "to_frame"], [951, 2, 1, "", "to_pytimedelta"], [952, 2, 1, "", "to_series"]], "pandas.Timestamp": [[954, 2, 1, "", "as_unit"], [955, 4, 1, "", "asm8"], [956, 2, 1, "", "astimezone"], [957, 2, 1, "", "ceil"], [958, 2, 1, "", "combine"], [959, 2, 1, "", "ctime"], [960, 2, 1, "", "date"], [961, 4, 1, "", "day"], [962, 2, 1, "", "day_name"], [963, 4, 1, "", "day_of_week"], [964, 4, 1, "", "day_of_year"], [965, 4, 1, "", "dayofweek"], [966, 4, 1, "", "dayofyear"], [967, 4, 1, "", "days_in_month"], [968, 4, 1, "", "daysinmonth"], [969, 2, 1, "", "dst"], [970, 2, 1, "", "floor"], [971, 4, 1, "", "fold"], [972, 2, 1, "", "fromordinal"], [973, 2, 1, "", "fromtimestamp"], [974, 4, 1, "", "hour"], [975, 4, 1, "", "is_leap_year"], [976, 4, 1, "", "is_month_end"], [977, 4, 1, "", "is_month_start"], [978, 4, 1, "", "is_quarter_end"], [979, 4, 1, "", "is_quarter_start"], [980, 4, 1, "", "is_year_end"], [981, 4, 1, "", "is_year_start"], [982, 2, 1, "", "isocalendar"], [983, 2, 1, "", "isoformat"], [984, 2, 1, "", "isoweekday"], [985, 4, 1, "", "max"], [986, 4, 1, "", "microsecond"], [987, 4, 1, "", "min"], [988, 4, 1, "", "minute"], [989, 4, 1, "", "month"], [990, 2, 1, "", "month_name"], [991, 4, 1, "", "nanosecond"], [992, 2, 1, "", "normalize"], [993, 2, 1, "", "now"], [994, 4, 1, "", "quarter"], [995, 2, 1, "", "replace"], [996, 4, 1, "", "resolution"], [997, 2, 1, "", "round"], [998, 4, 1, "", "second"], [999, 2, 1, "", "strftime"], [1000, 2, 1, "", "strptime"], [1001, 2, 1, "", "time"], [1002, 2, 1, "", "timestamp"], [1003, 2, 1, "", "timetuple"], [1004, 2, 1, "", "timetz"], [1005, 2, 1, "", "to_datetime64"], [1006, 2, 1, "", "to_julian_date"], [1007, 2, 1, "", "to_numpy"], [1008, 2, 1, "", "to_period"], [1009, 2, 1, "", "to_pydatetime"], [1010, 2, 1, "", "today"], [1011, 2, 1, "", "toordinal"], [1012, 3, 1, "", "tz"], [1013, 2, 1, "", "tz_convert"], [1014, 2, 1, "", "tz_localize"], [1015, 4, 1, "", "tzinfo"], [1016, 2, 1, "", "tzname"], [1017, 4, 1, "", "unit"], [1018, 2, 1, "", "utcfromtimestamp"], [1019, 2, 1, "", "utcnow"], [1020, 2, 1, "", "utcoffset"], [1021, 2, 1, "", "utctimetuple"], [1022, 4, 1, "", "value"], [1023, 4, 1, "", "week"], [1024, 2, 1, "", "weekday"], [1025, 4, 1, "", "weekofyear"], [1026, 4, 1, "", "year"]], "pandas.api.extensions": [[1031, 1, 1, "", "ExtensionArray"], [1068, 1, 1, "", "ExtensionDtype"], [1069, 6, 1, "", "register_dataframe_accessor"], [1070, 6, 1, "", "register_extension_dtype"], [1071, 6, 1, "", "register_index_accessor"], [1072, 6, 1, "", "register_series_accessor"]], "pandas.api.extensions.ExtensionArray": [[1032, 2, 1, "", "_accumulate"], [1033, 2, 1, "", "_concat_same_type"], [1034, 2, 1, "", "_explode"], [1035, 2, 1, "", "_formatter"], [1036, 2, 1, "", "_from_factorized"], [1037, 2, 1, "", "_from_sequence"], [1038, 2, 1, "", "_from_sequence_of_strings"], [1039, 2, 1, "", "_hash_pandas_object"], [1040, 2, 1, "", "_pad_or_backfill"], [1041, 2, 1, "", "_reduce"], [1042, 2, 1, "", "_values_for_argsort"], [1043, 2, 1, "", "_values_for_factorize"], [1044, 2, 1, "", "argsort"], [1045, 2, 1, "", "astype"], [1046, 2, 1, "", "copy"], [1047, 2, 1, "", "dropna"], [1048, 3, 1, "", "dtype"], [1049, 2, 1, "", "duplicated"], [1050, 2, 1, "", "equals"], [1051, 2, 1, "", "factorize"], [1052, 2, 1, "", "fillna"], [1053, 2, 1, "", "insert"], [1054, 2, 1, "", "interpolate"], [1055, 2, 1, "", "isin"], [1056, 2, 1, "", "isna"], [1057, 3, 1, "", "nbytes"], [1058, 3, 1, "", "ndim"], [1059, 2, 1, "", "ravel"], [1060, 2, 1, "", "repeat"], [1061, 2, 1, "", "searchsorted"], [1062, 3, 1, "", "shape"], [1063, 2, 1, "", "shift"], [1064, 2, 1, "", "take"], [1065, 2, 1, "", "tolist"], [1066, 2, 1, "", "unique"], [1067, 2, 1, "", "view"]], "pandas.api.indexers": [[1073, 1, 1, "", "BaseIndexer"], [1074, 1, 1, "", "FixedForwardWindowIndexer"], [1075, 1, 1, "", "VariableOffsetWindowIndexer"], [1076, 6, 1, "", "check_array_indexer"]], "pandas.api.interchange": [[1077, 6, 1, "", "from_dataframe"]], "pandas.api.types": [[1078, 6, 1, "", "infer_dtype"], [1079, 6, 1, "", "is_any_real_numeric_dtype"], [1080, 6, 1, "", "is_bool"], [1081, 6, 1, "", "is_bool_dtype"], [1082, 6, 1, "", "is_categorical_dtype"], [1083, 6, 1, "", "is_complex"], [1084, 6, 1, "", "is_complex_dtype"], [1085, 6, 1, "", "is_datetime64_any_dtype"], [1086, 6, 1, "", "is_datetime64_dtype"], [1087, 6, 1, "", "is_datetime64_ns_dtype"], [1088, 6, 1, "", "is_datetime64tz_dtype"], [1089, 6, 1, "", "is_dict_like"], [1090, 6, 1, "", "is_extension_array_dtype"], [1091, 6, 1, "", "is_file_like"], [1092, 6, 1, "", "is_float"], [1093, 6, 1, "", "is_float_dtype"], [1094, 6, 1, "", "is_hashable"], [1095, 6, 1, "", "is_int64_dtype"], [1096, 6, 1, "", "is_integer"], [1097, 6, 1, "", "is_integer_dtype"], [1098, 6, 1, "", "is_interval"], [1099, 6, 1, "", "is_interval_dtype"], [1100, 6, 1, "", "is_iterator"], [1101, 6, 1, "", "is_list_like"], [1102, 6, 1, "", "is_named_tuple"], [1103, 6, 1, "", "is_number"], [1104, 6, 1, "", "is_numeric_dtype"], [1105, 6, 1, "", "is_object_dtype"], [1106, 6, 1, "", "is_period_dtype"], [1107, 6, 1, "", "is_re"], [1108, 6, 1, "", "is_re_compilable"], [1109, 6, 1, "", "is_scalar"], [1110, 6, 1, "", "is_signed_integer_dtype"], [1111, 6, 1, "", "is_sparse"], [1112, 6, 1, "", "is_string_dtype"], [1113, 6, 1, "", "is_timedelta64_dtype"], [1114, 6, 1, "", "is_timedelta64_ns_dtype"], [1115, 6, 1, "", "is_unsigned_integer_dtype"], [1116, 6, 1, "", "pandas_dtype"], [1117, 6, 1, "", "union_categoricals"]], "pandas.arrays": [[1119, 1, 1, "", "ArrowExtensionArray"], [1120, 1, 1, "", "ArrowStringArray"], [1121, 1, 1, "", "BooleanArray"], [1122, 1, 1, "", "DatetimeArray"], [1123, 1, 1, "", "FloatingArray"], [1124, 1, 1, "", "IntegerArray"], [1125, 1, 1, "", "IntervalArray"], [1140, 1, 1, "", "NumpyExtensionArray"], [1141, 1, 1, "", "PeriodArray"], [1142, 1, 1, "", "SparseArray"], [1143, 1, 1, "", "StringArray"], [1144, 1, 1, "", "TimedeltaArray"]], "pandas.arrays.IntervalArray": [[1126, 3, 1, "", "closed"], [1127, 2, 1, "", "contains"], [1128, 2, 1, "", "from_arrays"], [1129, 2, 1, "", "from_breaks"], [1130, 2, 1, "", "from_tuples"], [1131, 4, 1, "", "is_empty"], [1132, 3, 1, "", "is_non_overlapping_monotonic"], [1133, 3, 1, "", "left"], [1134, 3, 1, "", "length"], [1135, 3, 1, "", "mid"], [1136, 2, 1, "", "overlaps"], [1137, 3, 1, "", "right"], [1138, 2, 1, "", "set_closed"], [1139, 2, 1, "", "to_tuples"]], "pandas.core.groupby.DataFrameGroupBy": [[1147, 2, 1, "", "__iter__"], [1148, 2, 1, "", "agg"], [1149, 2, 1, "", "aggregate"], [1150, 2, 1, "", "all"], [1151, 2, 1, "", "any"], [1152, 2, 1, "", "apply"], [1153, 2, 1, "", "bfill"], [1154, 2, 1, "", "boxplot"], [1155, 2, 1, "", "corr"], [1156, 2, 1, "", "corrwith"], [1157, 2, 1, "", "count"], [1158, 2, 1, "", "cov"], [1159, 2, 1, "", "cumcount"], [1160, 2, 1, "", "cummax"], [1161, 2, 1, "", "cummin"], [1162, 2, 1, "", "cumprod"], [1163, 2, 1, "", "cumsum"], [1164, 2, 1, "", "describe"], [1165, 2, 1, "", "diff"], [1166, 2, 1, "", "ffill"], [1167, 2, 1, "", "fillna"], [1168, 2, 1, "", "filter"], [1169, 2, 1, "", "first"], [1170, 2, 1, "", "get_group"], [1171, 3, 1, "", "groups"], [1172, 2, 1, "", "head"], [1173, 2, 1, "", "hist"], [1174, 2, 1, "", "idxmax"], [1175, 2, 1, "", "idxmin"], [1176, 3, 1, "", "indices"], [1177, 2, 1, "", "last"], [1178, 2, 1, "", "max"], [1179, 2, 1, "", "mean"], [1180, 2, 1, "", "median"], [1181, 2, 1, "", "min"], [1182, 2, 1, "", "ngroup"], [1183, 3, 1, "", "nth"], [1184, 2, 1, "", "nunique"], [1185, 2, 1, "", "ohlc"], [1186, 2, 1, "", "pct_change"], [1187, 2, 1, "", "pipe"], [1188, 3, 1, "", "plot"], [1189, 2, 1, "", "prod"], [1190, 2, 1, "", "quantile"], [1191, 2, 1, "", "rank"], [1192, 2, 1, "", "resample"], [1193, 2, 1, "", "rolling"], [1194, 2, 1, "", "sample"], [1195, 2, 1, "", "sem"], [1196, 2, 1, "", "shift"], [1197, 2, 1, "", "size"], [1198, 2, 1, "", "skew"], [1199, 2, 1, "", "std"], [1200, 2, 1, "", "sum"], [1201, 2, 1, "", "tail"], [1202, 2, 1, "", "take"], [1203, 2, 1, "", "transform"], [1204, 2, 1, "", "value_counts"], [1205, 2, 1, "", "var"]], "pandas.core.groupby.SeriesGroupBy": [[1206, 2, 1, "", "__iter__"], [1207, 2, 1, "", "agg"], [1208, 2, 1, "", "aggregate"], [1209, 2, 1, "", "all"], [1210, 2, 1, "", "any"], [1211, 2, 1, "", "apply"], [1212, 2, 1, "", "bfill"], [1213, 2, 1, "", "corr"], [1214, 2, 1, "", "count"], [1215, 2, 1, "", "cov"], [1216, 2, 1, "", "cumcount"], [1217, 2, 1, "", "cummax"], [1218, 2, 1, "", "cummin"], [1219, 2, 1, "", "cumprod"], [1220, 2, 1, "", "cumsum"], [1221, 2, 1, "", "describe"], [1222, 2, 1, "", "diff"], [1223, 2, 1, "", "ffill"], [1224, 2, 1, "", "fillna"], [1225, 2, 1, "", "filter"], [1226, 2, 1, "", "first"], [1227, 2, 1, "", "get_group"], [1228, 3, 1, "", "groups"], [1229, 2, 1, "", "head"], [1230, 2, 1, "", "hist"], [1231, 2, 1, "", "idxmax"], [1232, 2, 1, "", "idxmin"], [1233, 3, 1, "", "indices"], [1234, 3, 1, "", "is_monotonic_decreasing"], [1235, 3, 1, "", "is_monotonic_increasing"], [1236, 2, 1, "", "last"], [1237, 2, 1, "", "max"], [1238, 2, 1, "", "mean"], [1239, 2, 1, "", "median"], [1240, 2, 1, "", "min"], [1241, 2, 1, "", "ngroup"], [1242, 2, 1, "", "nlargest"], [1243, 2, 1, "", "nsmallest"], [1244, 3, 1, "", "nth"], [1245, 2, 1, "", "nunique"], [1246, 2, 1, "", "ohlc"], [1247, 2, 1, "", "pct_change"], [1248, 2, 1, "", "pipe"], [1249, 3, 1, "", "plot"], [1250, 2, 1, "", "prod"], [1251, 2, 1, "", "quantile"], [1252, 2, 1, "", "rank"], [1253, 2, 1, "", "resample"], [1254, 2, 1, "", "rolling"], [1255, 2, 1, "", "sample"], [1256, 2, 1, "", "sem"], [1257, 2, 1, "", "shift"], [1258, 2, 1, "", "size"], [1259, 2, 1, "", "skew"], [1260, 2, 1, "", "std"], [1261, 2, 1, "", "sum"], [1262, 2, 1, "", "tail"], [1263, 2, 1, "", "take"], [1264, 2, 1, "", "transform"], [1265, 2, 1, "", "unique"], [1266, 2, 1, "", "value_counts"], [1267, 2, 1, "", "var"]], "pandas.core.resample.Resampler": [[1268, 2, 1, "", "__iter__"], [1269, 2, 1, "", "aggregate"], [1270, 2, 1, "", "apply"], [1271, 2, 1, "", "asfreq"], [1272, 2, 1, "", "bfill"], [1273, 2, 1, "", "count"], [1274, 2, 1, "", "ffill"], [1275, 2, 1, "", "fillna"], [1276, 2, 1, "", "first"], [1277, 2, 1, "", "get_group"], [1278, 3, 1, "", "groups"], [1279, 3, 1, "", "indices"], [1280, 2, 1, "", "interpolate"], [1281, 2, 1, "", "last"], [1282, 2, 1, "", "max"], [1283, 2, 1, "", "mean"], [1284, 2, 1, "", "median"], [1285, 2, 1, "", "min"], [1286, 2, 1, "", "nearest"], [1287, 2, 1, "", "nunique"], [1288, 2, 1, "", "ohlc"], [1289, 2, 1, "", "pipe"], [1290, 2, 1, "", "prod"], [1291, 2, 1, "", "quantile"], [1292, 2, 1, "", "sem"], [1293, 2, 1, "", "size"], [1294, 2, 1, "", "std"], [1295, 2, 1, "", "sum"], [1296, 2, 1, "", "transform"], [1297, 2, 1, "", "var"]], "pandas.core.window.ewm.ExponentialMovingWindow": [[1298, 2, 1, "", "corr"], [1299, 2, 1, "", "cov"], [1300, 2, 1, "", "mean"], [1301, 2, 1, "", "std"], [1302, 2, 1, "", "sum"], [1303, 2, 1, "", "var"]], "pandas.core.window.expanding.Expanding": [[1304, 2, 1, "", "aggregate"], [1305, 2, 1, "", "apply"], [1306, 2, 1, "", "corr"], [1307, 2, 1, "", "count"], [1308, 2, 1, "", "cov"], [1309, 2, 1, "", "kurt"], [1310, 2, 1, "", "max"], [1311, 2, 1, "", "mean"], [1312, 2, 1, "", "median"], [1313, 2, 1, "", "min"], [1314, 2, 1, "", "quantile"], [1315, 2, 1, "", "rank"], [1316, 2, 1, "", "sem"], [1317, 2, 1, "", "skew"], [1318, 2, 1, "", "std"], [1319, 2, 1, "", "sum"], [1320, 2, 1, "", "var"]], "pandas.core.window.rolling.Rolling": [[1321, 2, 1, "", "aggregate"], [1322, 2, 1, "", "apply"], [1323, 2, 1, "", "corr"], [1324, 2, 1, "", "count"], [1325, 2, 1, "", "cov"], [1326, 2, 1, "", "kurt"], [1327, 2, 1, "", "max"], [1328, 2, 1, "", "mean"], [1329, 2, 1, "", "median"], [1330, 2, 1, "", "min"], [1331, 2, 1, "", "quantile"], [1332, 2, 1, "", "rank"], [1333, 2, 1, "", "sem"], [1334, 2, 1, "", "skew"], [1335, 2, 1, "", "std"], [1336, 2, 1, "", "sum"], [1337, 2, 1, "", "var"]], "pandas.core.window.rolling.Window": [[1338, 2, 1, "", "mean"], [1339, 2, 1, "", "std"], [1340, 2, 1, "", "sum"], [1341, 2, 1, "", "var"]], "pandas.errors": [[1346, 7, 1, "", "AbstractMethodError"], [1347, 7, 1, "", "AttributeConflictWarning"], [1348, 7, 1, "", "CSSWarning"], [1349, 7, 1, "", "CategoricalConversionWarning"], [1350, 7, 1, "", "ChainedAssignmentError"], [1351, 7, 1, "", "ClosedFileError"], [1352, 7, 1, "", "DataError"], [1353, 7, 1, "", "DatabaseError"], [1354, 7, 1, "", "DtypeWarning"], [1355, 7, 1, "", "DuplicateLabelError"], [1356, 7, 1, "", "EmptyDataError"], [1357, 7, 1, "", "IncompatibilityWarning"], [1358, 7, 1, "", "IndexingError"], [1359, 7, 1, "", "IntCastingNaNError"], [1360, 7, 1, "", "InvalidColumnName"], [1361, 7, 1, "", "InvalidComparison"], [1362, 7, 1, "", "InvalidIndexError"], [1363, 7, 1, "", "InvalidVersion"], [1364, 7, 1, "", "LossySetitemError"], [1365, 7, 1, "", "MergeError"], [1366, 7, 1, "", "NoBufferPresent"], [1367, 7, 1, "", "NullFrequencyError"], [1368, 7, 1, "", "NumExprClobberingError"], [1369, 7, 1, "", "NumbaUtilError"], [1370, 7, 1, "", "OptionError"], [1371, 7, 1, "", "OutOfBoundsDatetime"], [1372, 7, 1, "", "OutOfBoundsTimedelta"], [1373, 7, 1, "", "ParserError"], [1374, 7, 1, "", "ParserWarning"], [1375, 7, 1, "", "PerformanceWarning"], [1376, 7, 1, "", "PossibleDataLossError"], [1377, 7, 1, "", "PossiblePrecisionLoss"], [1378, 7, 1, "", "PyperclipException"], [1379, 7, 1, "", "PyperclipWindowsException"], [1380, 7, 1, "", "SettingWithCopyError"], [1381, 7, 1, "", "SettingWithCopyWarning"], [1382, 7, 1, "", "SpecificationError"], [1383, 7, 1, "", "UndefinedVariableError"], [1384, 7, 1, "", "UnsortedIndexError"], [1385, 7, 1, "", "UnsupportedFunctionCall"], [1386, 7, 1, "", "ValueLabelTypeMismatch"]], "pandas.io.formats.style": [[1394, 1, 1, "", "Styler"]], "pandas.io.formats.style.Styler": [[1395, 2, 1, "", "apply"], [1396, 2, 1, "", "apply_index"], [1397, 2, 1, "", "background_gradient"], [1398, 2, 1, "", "bar"], [1399, 2, 1, "", "clear"], [1400, 2, 1, "", "concat"], [1401, 4, 1, "", "env"], [1402, 2, 1, "", "export"], [1403, 2, 1, "", "format"], [1404, 2, 1, "", "format_index"], [1405, 2, 1, "", "from_custom_template"], [1406, 2, 1, "", "hide"], [1407, 2, 1, "", "highlight_between"], [1408, 2, 1, "", "highlight_max"], [1409, 2, 1, "", "highlight_min"], [1410, 2, 1, "", "highlight_null"], [1411, 2, 1, "", "highlight_quantile"], [1412, 4, 1, "", "loader"], [1413, 2, 1, "", "map"], [1414, 2, 1, "", "map_index"], [1415, 2, 1, "", "pipe"], [1416, 2, 1, "", "relabel_index"], [1417, 2, 1, "", "set_caption"], [1418, 2, 1, "", "set_properties"], [1419, 2, 1, "", "set_sticky"], [1420, 2, 1, "", "set_table_attributes"], [1421, 2, 1, "", "set_table_styles"], [1422, 2, 1, "", "set_td_classes"], [1423, 2, 1, "", "set_tooltips"], [1424, 2, 1, "", "set_uuid"], [1425, 4, 1, "", "template_html"], [1426, 4, 1, "", "template_html_style"], [1427, 4, 1, "", "template_html_table"], [1428, 4, 1, "", "template_latex"], [1429, 4, 1, "", "template_string"], [1430, 2, 1, "", "text_gradient"], [1431, 2, 1, "", "to_excel"], [1432, 2, 1, "", "to_html"], [1433, 2, 1, "", "to_latex"], [1434, 2, 1, "", "to_string"], [1435, 2, 1, "", "use"]], "pandas.io.json": [[1436, 6, 1, "", "build_table_schema"]], "pandas.io.stata.StataReader": [[1437, 3, 1, "", "data_label"], [1438, 2, 1, "", "value_labels"], [1439, 2, 1, "", "variable_labels"]], "pandas.io.stata.StataWriter": [[1440, 2, 1, "", "write_file"]], "pandas.plotting": [[1455, 6, 1, "", "andrews_curves"], [1456, 6, 1, "", "autocorrelation_plot"], [1457, 6, 1, "", "bootstrap_plot"], [1458, 6, 1, "", "boxplot"], [1459, 6, 1, "", "deregister_matplotlib_converters"], [1460, 6, 1, "", "lag_plot"], [1461, 6, 1, "", "parallel_coordinates"], [1462, 5, 1, "", "plot_params"], [1463, 6, 1, "", "radviz"], [1464, 6, 1, "", "register_matplotlib_converters"], [1465, 6, 1, "", "scatter_matrix"], [1466, 6, 1, "", "table"]], "pandas.testing": [[1493, 6, 1, "", "assert_extension_array_equal"], [1494, 6, 1, "", "assert_frame_equal"], [1495, 6, 1, "", "assert_index_equal"], [1496, 6, 1, "", "assert_series_equal"]], "pandas.tseries.api": [[1501, 6, 1, "", "guess_datetime_format"]], "pandas.tseries.frequencies": [[1502, 6, 1, "", "to_offset"]], "pandas.tseries.offsets": [[1503, 4, 1, "", "BDay"], [1504, 4, 1, "", "BMonthBegin"], [1505, 4, 1, "", "BMonthEnd"], [1506, 1, 1, "", "BQuarterBegin"], [1524, 1, 1, "", "BQuarterEnd"], [1542, 1, 1, "", "BYearBegin"], [1560, 1, 1, "", "BYearEnd"], [1578, 1, 1, "", "BusinessDay"], [1598, 1, 1, "", "BusinessHour"], [1620, 1, 1, "", "BusinessMonthBegin"], [1637, 1, 1, "", "BusinessMonthEnd"], [1654, 4, 1, "", "CBMonthBegin"], [1655, 4, 1, "", "CBMonthEnd"], [1656, 4, 1, "", "CDay"], [1657, 1, 1, "", "CustomBusinessDay"], [1677, 1, 1, "", "CustomBusinessHour"], [1699, 1, 1, "", "CustomBusinessMonthBegin"], [1720, 1, 1, "", "CustomBusinessMonthEnd"], [1741, 1, 1, "", "DateOffset"], [1758, 1, 1, "", "Day"], [1776, 1, 1, "", "Easter"], [1793, 1, 1, "", "FY5253"], [1815, 1, 1, "", "FY5253Quarter"], [1839, 1, 1, "", "Hour"], [1857, 1, 1, "", "LastWeekOfMonth"], [1876, 1, 1, "", "Micro"], [1894, 1, 1, "", "Milli"], [1912, 1, 1, "", "Minute"], [1930, 1, 1, "", "MonthBegin"], [1947, 1, 1, "", "MonthEnd"], [1964, 1, 1, "", "Nano"], [1982, 1, 1, "", "QuarterBegin"], [2000, 1, 1, "", "QuarterEnd"], [2018, 1, 1, "", "Second"], [2036, 1, 1, "", "SemiMonthBegin"], [2054, 1, 1, "", "SemiMonthEnd"], [2072, 1, 1, "", "Tick"], [2090, 1, 1, "", "Week"], [2108, 1, 1, "", "WeekOfMonth"], [2127, 1, 1, "", "YearBegin"], [2145, 1, 1, "", "YearEnd"]], "pandas.tseries.offsets.BQuarterBegin": [[1507, 2, 1, "", "copy"], [1508, 4, 1, "", "freqstr"], [1509, 2, 1, "", "is_anchored"], [1510, 2, 1, "", "is_month_end"], [1511, 2, 1, "", "is_month_start"], [1512, 2, 1, "", "is_on_offset"], [1513, 2, 1, "", "is_quarter_end"], [1514, 2, 1, "", "is_quarter_start"], [1515, 2, 1, "", "is_year_end"], [1516, 2, 1, "", "is_year_start"], [1517, 4, 1, "", "kwds"], [1518, 4, 1, "", "n"], [1519, 4, 1, "", "name"], [1520, 4, 1, "", "nanos"], [1521, 4, 1, "", "normalize"], [1522, 4, 1, "", "rule_code"], [1523, 4, 1, "", "startingMonth"]], "pandas.tseries.offsets.BQuarterEnd": [[1525, 2, 1, "", "copy"], [1526, 4, 1, "", "freqstr"], [1527, 2, 1, "", "is_anchored"], [1528, 2, 1, "", "is_month_end"], [1529, 2, 1, "", "is_month_start"], [1530, 2, 1, "", "is_on_offset"], [1531, 2, 1, "", "is_quarter_end"], [1532, 2, 1, "", "is_quarter_start"], [1533, 2, 1, "", "is_year_end"], [1534, 2, 1, "", "is_year_start"], [1535, 4, 1, "", "kwds"], [1536, 4, 1, "", "n"], [1537, 4, 1, "", "name"], [1538, 4, 1, "", "nanos"], [1539, 4, 1, "", "normalize"], [1540, 4, 1, "", "rule_code"], [1541, 4, 1, "", "startingMonth"]], "pandas.tseries.offsets.BYearBegin": [[1543, 2, 1, "", "copy"], [1544, 4, 1, "", "freqstr"], [1545, 2, 1, "", "is_anchored"], [1546, 2, 1, "", "is_month_end"], [1547, 2, 1, "", "is_month_start"], [1548, 2, 1, "", "is_on_offset"], [1549, 2, 1, "", "is_quarter_end"], [1550, 2, 1, "", "is_quarter_start"], [1551, 2, 1, "", "is_year_end"], [1552, 2, 1, "", "is_year_start"], [1553, 4, 1, "", "kwds"], [1554, 4, 1, "", "month"], [1555, 4, 1, "", "n"], [1556, 4, 1, "", "name"], [1557, 4, 1, "", "nanos"], [1558, 4, 1, "", "normalize"], [1559, 4, 1, "", "rule_code"]], "pandas.tseries.offsets.BYearEnd": [[1561, 2, 1, "", "copy"], [1562, 4, 1, "", "freqstr"], [1563, 2, 1, "", "is_anchored"], [1564, 2, 1, "", "is_month_end"], [1565, 2, 1, "", "is_month_start"], [1566, 2, 1, "", "is_on_offset"], [1567, 2, 1, "", "is_quarter_end"], [1568, 2, 1, "", "is_quarter_start"], [1569, 2, 1, "", "is_year_end"], [1570, 2, 1, "", "is_year_start"], [1571, 4, 1, "", "kwds"], [1572, 4, 1, "", "month"], [1573, 4, 1, "", "n"], [1574, 4, 1, "", "name"], [1575, 4, 1, "", "nanos"], [1576, 4, 1, "", "normalize"], [1577, 4, 1, "", "rule_code"]], "pandas.tseries.offsets.BusinessDay": [[1579, 4, 1, "", "calendar"], [1580, 2, 1, "", "copy"], [1581, 4, 1, "", "freqstr"], [1582, 4, 1, "", "holidays"], [1583, 2, 1, "", "is_anchored"], [1584, 2, 1, "", "is_month_end"], [1585, 2, 1, "", "is_month_start"], [1586, 2, 1, "", "is_on_offset"], [1587, 2, 1, "", "is_quarter_end"], [1588, 2, 1, "", "is_quarter_start"], [1589, 2, 1, "", "is_year_end"], [1590, 2, 1, "", "is_year_start"], [1591, 4, 1, "", "kwds"], [1592, 4, 1, "", "n"], [1593, 4, 1, "", "name"], [1594, 4, 1, "", "nanos"], [1595, 4, 1, "", "normalize"], [1596, 4, 1, "", "rule_code"], [1597, 4, 1, "", "weekmask"]], "pandas.tseries.offsets.BusinessHour": [[1599, 4, 1, "", "calendar"], [1600, 2, 1, "", "copy"], [1601, 4, 1, "", "end"], [1602, 4, 1, "", "freqstr"], [1603, 4, 1, "", "holidays"], [1604, 2, 1, "", "is_anchored"], [1605, 2, 1, "", "is_month_end"], [1606, 2, 1, "", "is_month_start"], [1607, 2, 1, "", "is_on_offset"], [1608, 2, 1, "", "is_quarter_end"], [1609, 2, 1, "", "is_quarter_start"], [1610, 2, 1, "", "is_year_end"], [1611, 2, 1, "", "is_year_start"], [1612, 4, 1, "", "kwds"], [1613, 4, 1, "", "n"], [1614, 4, 1, "", "name"], [1615, 4, 1, "", "nanos"], [1616, 4, 1, "", "normalize"], [1617, 4, 1, "", "rule_code"], [1618, 4, 1, "", "start"], [1619, 4, 1, "", "weekmask"]], "pandas.tseries.offsets.BusinessMonthBegin": [[1621, 2, 1, "", "copy"], [1622, 4, 1, "", "freqstr"], [1623, 2, 1, "", "is_anchored"], [1624, 2, 1, "", "is_month_end"], [1625, 2, 1, "", "is_month_start"], [1626, 2, 1, "", "is_on_offset"], [1627, 2, 1, "", "is_quarter_end"], [1628, 2, 1, "", "is_quarter_start"], [1629, 2, 1, "", "is_year_end"], [1630, 2, 1, "", "is_year_start"], [1631, 4, 1, "", "kwds"], [1632, 4, 1, "", "n"], [1633, 4, 1, "", "name"], [1634, 4, 1, "", "nanos"], [1635, 4, 1, "", "normalize"], [1636, 4, 1, "", "rule_code"]], "pandas.tseries.offsets.BusinessMonthEnd": [[1638, 2, 1, "", "copy"], [1639, 4, 1, "", "freqstr"], [1640, 2, 1, "", "is_anchored"], [1641, 2, 1, "", "is_month_end"], [1642, 2, 1, "", "is_month_start"], [1643, 2, 1, "", "is_on_offset"], [1644, 2, 1, "", "is_quarter_end"], [1645, 2, 1, "", "is_quarter_start"], [1646, 2, 1, "", "is_year_end"], [1647, 2, 1, "", "is_year_start"], [1648, 4, 1, "", "kwds"], [1649, 4, 1, "", "n"], [1650, 4, 1, "", "name"], [1651, 4, 1, "", "nanos"], [1652, 4, 1, "", "normalize"], [1653, 4, 1, "", "rule_code"]], "pandas.tseries.offsets.CustomBusinessDay": [[1658, 4, 1, "", "calendar"], [1659, 2, 1, "", "copy"], [1660, 4, 1, "", "freqstr"], [1661, 4, 1, "", "holidays"], [1662, 2, 1, "", "is_anchored"], [1663, 2, 1, "", "is_month_end"], [1664, 2, 1, "", "is_month_start"], [1665, 2, 1, "", "is_on_offset"], [1666, 2, 1, "", "is_quarter_end"], [1667, 2, 1, "", "is_quarter_start"], [1668, 2, 1, "", "is_year_end"], [1669, 2, 1, "", "is_year_start"], [1670, 4, 1, "", "kwds"], [1671, 4, 1, "", "n"], [1672, 4, 1, "", "name"], [1673, 4, 1, "", "nanos"], [1674, 4, 1, "", "normalize"], [1675, 4, 1, "", "rule_code"], [1676, 4, 1, "", "weekmask"]], "pandas.tseries.offsets.CustomBusinessHour": [[1678, 4, 1, "", "calendar"], [1679, 2, 1, "", "copy"], [1680, 4, 1, "", "end"], [1681, 4, 1, "", "freqstr"], [1682, 4, 1, "", "holidays"], [1683, 2, 1, "", "is_anchored"], [1684, 2, 1, "", "is_month_end"], [1685, 2, 1, "", "is_month_start"], [1686, 2, 1, "", "is_on_offset"], [1687, 2, 1, "", "is_quarter_end"], [1688, 2, 1, "", "is_quarter_start"], [1689, 2, 1, "", "is_year_end"], [1690, 2, 1, "", "is_year_start"], [1691, 4, 1, "", "kwds"], [1692, 4, 1, "", "n"], [1693, 4, 1, "", "name"], [1694, 4, 1, "", "nanos"], [1695, 4, 1, "", "normalize"], [1696, 4, 1, "", "rule_code"], [1697, 4, 1, "", "start"], [1698, 4, 1, "", "weekmask"]], "pandas.tseries.offsets.CustomBusinessMonthBegin": [[1700, 4, 1, "", "calendar"], [1701, 2, 1, "", "copy"], [1702, 4, 1, "", "freqstr"], [1703, 4, 1, "", "holidays"], [1704, 2, 1, "", "is_anchored"], [1705, 2, 1, "", "is_month_end"], [1706, 2, 1, "", "is_month_start"], [1707, 2, 1, "", "is_on_offset"], [1708, 2, 1, "", "is_quarter_end"], [1709, 2, 1, "", "is_quarter_start"], [1710, 2, 1, "", "is_year_end"], [1711, 2, 1, "", "is_year_start"], [1712, 4, 1, "", "kwds"], [1713, 4, 1, "", "m_offset"], [1714, 4, 1, "", "n"], [1715, 4, 1, "", "name"], [1716, 4, 1, "", "nanos"], [1717, 4, 1, "", "normalize"], [1718, 4, 1, "", "rule_code"], [1719, 4, 1, "", "weekmask"]], "pandas.tseries.offsets.CustomBusinessMonthEnd": [[1721, 4, 1, "", "calendar"], [1722, 2, 1, "", "copy"], [1723, 4, 1, "", "freqstr"], [1724, 4, 1, "", "holidays"], [1725, 2, 1, "", "is_anchored"], [1726, 2, 1, "", "is_month_end"], [1727, 2, 1, "", "is_month_start"], [1728, 2, 1, "", "is_on_offset"], [1729, 2, 1, "", "is_quarter_end"], [1730, 2, 1, "", "is_quarter_start"], [1731, 2, 1, "", "is_year_end"], [1732, 2, 1, "", "is_year_start"], [1733, 4, 1, "", "kwds"], [1734, 4, 1, "", "m_offset"], [1735, 4, 1, "", "n"], [1736, 4, 1, "", "name"], [1737, 4, 1, "", "nanos"], [1738, 4, 1, "", "normalize"], [1739, 4, 1, "", "rule_code"], [1740, 4, 1, "", "weekmask"]], "pandas.tseries.offsets.DateOffset": [[1742, 2, 1, "", "copy"], [1743, 4, 1, "", "freqstr"], [1744, 2, 1, "", "is_anchored"], [1745, 2, 1, "", "is_month_end"], [1746, 2, 1, "", "is_month_start"], [1747, 2, 1, "", "is_on_offset"], [1748, 2, 1, "", "is_quarter_end"], [1749, 2, 1, "", "is_quarter_start"], [1750, 2, 1, "", "is_year_end"], [1751, 2, 1, "", "is_year_start"], [1752, 4, 1, "", "kwds"], [1753, 4, 1, "", "n"], [1754, 4, 1, "", "name"], [1755, 4, 1, "", "nanos"], [1756, 4, 1, "", "normalize"], [1757, 4, 1, "", "rule_code"]], "pandas.tseries.offsets.Day": [[1759, 2, 1, "", "copy"], [1760, 4, 1, "", "delta"], [1761, 4, 1, "", "freqstr"], [1762, 2, 1, "", "is_anchored"], [1763, 2, 1, "", "is_month_end"], [1764, 2, 1, "", "is_month_start"], [1765, 2, 1, "", "is_on_offset"], [1766, 2, 1, "", "is_quarter_end"], [1767, 2, 1, "", "is_quarter_start"], [1768, 2, 1, "", "is_year_end"], [1769, 2, 1, "", "is_year_start"], [1770, 4, 1, "", "kwds"], [1771, 4, 1, "", "n"], [1772, 4, 1, "", "name"], [1773, 4, 1, "", "nanos"], [1774, 4, 1, "", "normalize"], [1775, 4, 1, "", "rule_code"]], "pandas.tseries.offsets.Easter": [[1777, 2, 1, "", "copy"], [1778, 4, 1, "", "freqstr"], [1779, 2, 1, "", "is_anchored"], [1780, 2, 1, "", "is_month_end"], [1781, 2, 1, "", "is_month_start"], [1782, 2, 1, "", "is_on_offset"], [1783, 2, 1, "", "is_quarter_end"], [1784, 2, 1, "", "is_quarter_start"], [1785, 2, 1, "", "is_year_end"], [1786, 2, 1, "", "is_year_start"], [1787, 4, 1, "", "kwds"], [1788, 4, 1, "", "n"], [1789, 4, 1, "", "name"], [1790, 4, 1, "", "nanos"], [1791, 4, 1, "", "normalize"], [1792, 4, 1, "", "rule_code"]], "pandas.tseries.offsets.FY5253": [[1794, 2, 1, "", "copy"], [1795, 4, 1, "", "freqstr"], [1796, 2, 1, "", "get_rule_code_suffix"], [1797, 2, 1, "", "get_year_end"], [1798, 2, 1, "", "is_anchored"], [1799, 2, 1, "", "is_month_end"], [1800, 2, 1, "", "is_month_start"], [1801, 2, 1, "", "is_on_offset"], [1802, 2, 1, "", "is_quarter_end"], [1803, 2, 1, "", "is_quarter_start"], [1804, 2, 1, "", "is_year_end"], [1805, 2, 1, "", "is_year_start"], [1806, 4, 1, "", "kwds"], [1807, 4, 1, "", "n"], [1808, 4, 1, "", "name"], [1809, 4, 1, "", "nanos"], [1810, 4, 1, "", "normalize"], [1811, 4, 1, "", "rule_code"], [1812, 4, 1, "", "startingMonth"], [1813, 4, 1, "", "variation"], [1814, 4, 1, "", "weekday"]], "pandas.tseries.offsets.FY5253Quarter": [[1816, 2, 1, "", "copy"], [1817, 4, 1, "", "freqstr"], [1818, 2, 1, "", "get_rule_code_suffix"], [1819, 2, 1, "", "get_weeks"], [1820, 2, 1, "", "is_anchored"], [1821, 2, 1, "", "is_month_end"], [1822, 2, 1, "", "is_month_start"], [1823, 2, 1, "", "is_on_offset"], [1824, 2, 1, "", "is_quarter_end"], [1825, 2, 1, "", "is_quarter_start"], [1826, 2, 1, "", "is_year_end"], [1827, 2, 1, "", "is_year_start"], [1828, 4, 1, "", "kwds"], [1829, 4, 1, "", "n"], [1830, 4, 1, "", "name"], [1831, 4, 1, "", "nanos"], [1832, 4, 1, "", "normalize"], [1833, 4, 1, "", "qtr_with_extra_week"], [1834, 4, 1, "", "rule_code"], [1835, 4, 1, "", "startingMonth"], [1836, 4, 1, "", "variation"], [1837, 4, 1, "", "weekday"], [1838, 2, 1, "", "year_has_extra_week"]], "pandas.tseries.offsets.Hour": [[1840, 2, 1, "", "copy"], [1841, 4, 1, "", "delta"], [1842, 4, 1, "", "freqstr"], [1843, 2, 1, "", "is_anchored"], [1844, 2, 1, "", "is_month_end"], [1845, 2, 1, "", "is_month_start"], [1846, 2, 1, "", "is_on_offset"], [1847, 2, 1, "", "is_quarter_end"], [1848, 2, 1, "", "is_quarter_start"], [1849, 2, 1, "", "is_year_end"], [1850, 2, 1, "", "is_year_start"], [1851, 4, 1, "", "kwds"], [1852, 4, 1, "", "n"], [1853, 4, 1, "", "name"], [1854, 4, 1, "", "nanos"], [1855, 4, 1, "", "normalize"], [1856, 4, 1, "", "rule_code"]], "pandas.tseries.offsets.LastWeekOfMonth": [[1858, 2, 1, "", "copy"], [1859, 4, 1, "", "freqstr"], [1860, 2, 1, "", "is_anchored"], [1861, 2, 1, "", "is_month_end"], [1862, 2, 1, "", "is_month_start"], [1863, 2, 1, "", "is_on_offset"], [1864, 2, 1, "", "is_quarter_end"], [1865, 2, 1, "", "is_quarter_start"], [1866, 2, 1, "", "is_year_end"], [1867, 2, 1, "", "is_year_start"], [1868, 4, 1, "", "kwds"], [1869, 4, 1, "", "n"], [1870, 4, 1, "", "name"], [1871, 4, 1, "", "nanos"], [1872, 4, 1, "", "normalize"], [1873, 4, 1, "", "rule_code"], [1874, 4, 1, "", "week"], [1875, 4, 1, "", "weekday"]], "pandas.tseries.offsets.Micro": [[1877, 2, 1, "", "copy"], [1878, 4, 1, "", "delta"], [1879, 4, 1, "", "freqstr"], [1880, 2, 1, "", "is_anchored"], [1881, 2, 1, "", "is_month_end"], [1882, 2, 1, "", "is_month_start"], [1883, 2, 1, "", "is_on_offset"], [1884, 2, 1, "", "is_quarter_end"], [1885, 2, 1, "", "is_quarter_start"], [1886, 2, 1, "", "is_year_end"], [1887, 2, 1, "", "is_year_start"], [1888, 4, 1, "", "kwds"], [1889, 4, 1, "", "n"], [1890, 4, 1, "", "name"], [1891, 4, 1, "", "nanos"], [1892, 4, 1, "", "normalize"], [1893, 4, 1, "", "rule_code"]], "pandas.tseries.offsets.Milli": [[1895, 2, 1, "", "copy"], [1896, 4, 1, "", "delta"], [1897, 4, 1, "", "freqstr"], [1898, 2, 1, "", "is_anchored"], [1899, 2, 1, "", "is_month_end"], [1900, 2, 1, "", "is_month_start"], [1901, 2, 1, "", "is_on_offset"], [1902, 2, 1, "", "is_quarter_end"], [1903, 2, 1, "", "is_quarter_start"], [1904, 2, 1, "", "is_year_end"], [1905, 2, 1, "", "is_year_start"], [1906, 4, 1, "", "kwds"], [1907, 4, 1, "", "n"], [1908, 4, 1, "", "name"], [1909, 4, 1, "", "nanos"], [1910, 4, 1, "", "normalize"], [1911, 4, 1, "", "rule_code"]], "pandas.tseries.offsets.Minute": [[1913, 2, 1, "", "copy"], [1914, 4, 1, "", "delta"], [1915, 4, 1, "", "freqstr"], [1916, 2, 1, "", "is_anchored"], [1917, 2, 1, "", "is_month_end"], [1918, 2, 1, "", "is_month_start"], [1919, 2, 1, "", "is_on_offset"], [1920, 2, 1, "", "is_quarter_end"], [1921, 2, 1, "", "is_quarter_start"], [1922, 2, 1, "", "is_year_end"], [1923, 2, 1, "", "is_year_start"], [1924, 4, 1, "", "kwds"], [1925, 4, 1, "", "n"], [1926, 4, 1, "", "name"], [1927, 4, 1, "", "nanos"], [1928, 4, 1, "", "normalize"], [1929, 4, 1, "", "rule_code"]], "pandas.tseries.offsets.MonthBegin": [[1931, 2, 1, "", "copy"], [1932, 4, 1, "", "freqstr"], [1933, 2, 1, "", "is_anchored"], [1934, 2, 1, "", "is_month_end"], [1935, 2, 1, "", "is_month_start"], [1936, 2, 1, "", "is_on_offset"], [1937, 2, 1, "", "is_quarter_end"], [1938, 2, 1, "", "is_quarter_start"], [1939, 2, 1, "", "is_year_end"], [1940, 2, 1, "", "is_year_start"], [1941, 4, 1, "", "kwds"], [1942, 4, 1, "", "n"], [1943, 4, 1, "", "name"], [1944, 4, 1, "", "nanos"], [1945, 4, 1, "", "normalize"], [1946, 4, 1, "", "rule_code"]], "pandas.tseries.offsets.MonthEnd": [[1948, 2, 1, "", "copy"], [1949, 4, 1, "", "freqstr"], [1950, 2, 1, "", "is_anchored"], [1951, 2, 1, "", "is_month_end"], [1952, 2, 1, "", "is_month_start"], [1953, 2, 1, "", "is_on_offset"], [1954, 2, 1, "", "is_quarter_end"], [1955, 2, 1, "", "is_quarter_start"], [1956, 2, 1, "", "is_year_end"], [1957, 2, 1, "", "is_year_start"], [1958, 4, 1, "", "kwds"], [1959, 4, 1, "", "n"], [1960, 4, 1, "", "name"], [1961, 4, 1, "", "nanos"], [1962, 4, 1, "", "normalize"], [1963, 4, 1, "", "rule_code"]], "pandas.tseries.offsets.Nano": [[1965, 2, 1, "", "copy"], [1966, 4, 1, "", "delta"], [1967, 4, 1, "", "freqstr"], [1968, 2, 1, "", "is_anchored"], [1969, 2, 1, "", "is_month_end"], [1970, 2, 1, "", "is_month_start"], [1971, 2, 1, "", "is_on_offset"], [1972, 2, 1, "", "is_quarter_end"], [1973, 2, 1, "", "is_quarter_start"], [1974, 2, 1, "", "is_year_end"], [1975, 2, 1, "", "is_year_start"], [1976, 4, 1, "", "kwds"], [1977, 4, 1, "", "n"], [1978, 4, 1, "", "name"], [1979, 4, 1, "", "nanos"], [1980, 4, 1, "", "normalize"], [1981, 4, 1, "", "rule_code"]], "pandas.tseries.offsets.QuarterBegin": [[1983, 2, 1, "", "copy"], [1984, 4, 1, "", "freqstr"], [1985, 2, 1, "", "is_anchored"], [1986, 2, 1, "", "is_month_end"], [1987, 2, 1, "", "is_month_start"], [1988, 2, 1, "", "is_on_offset"], [1989, 2, 1, "", "is_quarter_end"], [1990, 2, 1, "", "is_quarter_start"], [1991, 2, 1, "", "is_year_end"], [1992, 2, 1, "", "is_year_start"], [1993, 4, 1, "", "kwds"], [1994, 4, 1, "", "n"], [1995, 4, 1, "", "name"], [1996, 4, 1, "", "nanos"], [1997, 4, 1, "", "normalize"], [1998, 4, 1, "", "rule_code"], [1999, 4, 1, "", "startingMonth"]], "pandas.tseries.offsets.QuarterEnd": [[2001, 2, 1, "", "copy"], [2002, 4, 1, "", "freqstr"], [2003, 2, 1, "", "is_anchored"], [2004, 2, 1, "", "is_month_end"], [2005, 2, 1, "", "is_month_start"], [2006, 2, 1, "", "is_on_offset"], [2007, 2, 1, "", "is_quarter_end"], [2008, 2, 1, "", "is_quarter_start"], [2009, 2, 1, "", "is_year_end"], [2010, 2, 1, "", "is_year_start"], [2011, 4, 1, "", "kwds"], [2012, 4, 1, "", "n"], [2013, 4, 1, "", "name"], [2014, 4, 1, "", "nanos"], [2015, 4, 1, "", "normalize"], [2016, 4, 1, "", "rule_code"], [2017, 4, 1, "", "startingMonth"]], "pandas.tseries.offsets.Second": [[2019, 2, 1, "", "copy"], [2020, 4, 1, "", "delta"], [2021, 4, 1, "", "freqstr"], [2022, 2, 1, "", "is_anchored"], [2023, 2, 1, "", "is_month_end"], [2024, 2, 1, "", "is_month_start"], [2025, 2, 1, "", "is_on_offset"], [2026, 2, 1, "", "is_quarter_end"], [2027, 2, 1, "", "is_quarter_start"], [2028, 2, 1, "", "is_year_end"], [2029, 2, 1, "", "is_year_start"], [2030, 4, 1, "", "kwds"], [2031, 4, 1, "", "n"], [2032, 4, 1, "", "name"], [2033, 4, 1, "", "nanos"], [2034, 4, 1, "", "normalize"], [2035, 4, 1, "", "rule_code"]], "pandas.tseries.offsets.SemiMonthBegin": [[2037, 2, 1, "", "copy"], [2038, 4, 1, "", "day_of_month"], [2039, 4, 1, "", "freqstr"], [2040, 2, 1, "", "is_anchored"], [2041, 2, 1, "", "is_month_end"], [2042, 2, 1, "", "is_month_start"], [2043, 2, 1, "", "is_on_offset"], [2044, 2, 1, "", "is_quarter_end"], [2045, 2, 1, "", "is_quarter_start"], [2046, 2, 1, "", "is_year_end"], [2047, 2, 1, "", "is_year_start"], [2048, 4, 1, "", "kwds"], [2049, 4, 1, "", "n"], [2050, 4, 1, "", "name"], [2051, 4, 1, "", "nanos"], [2052, 4, 1, "", "normalize"], [2053, 4, 1, "", "rule_code"]], "pandas.tseries.offsets.SemiMonthEnd": [[2055, 2, 1, "", "copy"], [2056, 4, 1, "", "day_of_month"], [2057, 4, 1, "", "freqstr"], [2058, 2, 1, "", "is_anchored"], [2059, 2, 1, "", "is_month_end"], [2060, 2, 1, "", "is_month_start"], [2061, 2, 1, "", "is_on_offset"], [2062, 2, 1, "", "is_quarter_end"], [2063, 2, 1, "", "is_quarter_start"], [2064, 2, 1, "", "is_year_end"], [2065, 2, 1, "", "is_year_start"], [2066, 4, 1, "", "kwds"], [2067, 4, 1, "", "n"], [2068, 4, 1, "", "name"], [2069, 4, 1, "", "nanos"], [2070, 4, 1, "", "normalize"], [2071, 4, 1, "", "rule_code"]], "pandas.tseries.offsets.Tick": [[2073, 2, 1, "", "copy"], [2074, 4, 1, "", "delta"], [2075, 4, 1, "", "freqstr"], [2076, 2, 1, "", "is_anchored"], [2077, 2, 1, "", "is_month_end"], [2078, 2, 1, "", "is_month_start"], [2079, 2, 1, "", "is_on_offset"], [2080, 2, 1, "", "is_quarter_end"], [2081, 2, 1, "", "is_quarter_start"], [2082, 2, 1, "", "is_year_end"], [2083, 2, 1, "", "is_year_start"], [2084, 4, 1, "", "kwds"], [2085, 4, 1, "", "n"], [2086, 4, 1, "", "name"], [2087, 4, 1, "", "nanos"], [2088, 4, 1, "", "normalize"], [2089, 4, 1, "", "rule_code"]], "pandas.tseries.offsets.Week": [[2091, 2, 1, "", "copy"], [2092, 4, 1, "", "freqstr"], [2093, 2, 1, "", "is_anchored"], [2094, 2, 1, "", "is_month_end"], [2095, 2, 1, "", "is_month_start"], [2096, 2, 1, "", "is_on_offset"], [2097, 2, 1, "", "is_quarter_end"], [2098, 2, 1, "", "is_quarter_start"], [2099, 2, 1, "", "is_year_end"], [2100, 2, 1, "", "is_year_start"], [2101, 4, 1, "", "kwds"], [2102, 4, 1, "", "n"], [2103, 4, 1, "", "name"], [2104, 4, 1, "", "nanos"], [2105, 4, 1, "", "normalize"], [2106, 4, 1, "", "rule_code"], [2107, 4, 1, "", "weekday"]], "pandas.tseries.offsets.WeekOfMonth": [[2109, 2, 1, "", "copy"], [2110, 4, 1, "", "freqstr"], [2111, 2, 1, "", "is_anchored"], [2112, 2, 1, "", "is_month_end"], [2113, 2, 1, "", "is_month_start"], [2114, 2, 1, "", "is_on_offset"], [2115, 2, 1, "", "is_quarter_end"], [2116, 2, 1, "", "is_quarter_start"], [2117, 2, 1, "", "is_year_end"], [2118, 2, 1, "", "is_year_start"], [2119, 4, 1, "", "kwds"], [2120, 4, 1, "", "n"], [2121, 4, 1, "", "name"], [2122, 4, 1, "", "nanos"], [2123, 4, 1, "", "normalize"], [2124, 4, 1, "", "rule_code"], [2125, 4, 1, "", "week"], [2126, 4, 1, "", "weekday"]], "pandas.tseries.offsets.YearBegin": [[2128, 2, 1, "", "copy"], [2129, 4, 1, "", "freqstr"], [2130, 2, 1, "", "is_anchored"], [2131, 2, 1, "", "is_month_end"], [2132, 2, 1, "", "is_month_start"], [2133, 2, 1, "", "is_on_offset"], [2134, 2, 1, "", "is_quarter_end"], [2135, 2, 1, "", "is_quarter_start"], [2136, 2, 1, "", "is_year_end"], [2137, 2, 1, "", "is_year_start"], [2138, 4, 1, "", "kwds"], [2139, 4, 1, "", "month"], [2140, 4, 1, "", "n"], [2141, 4, 1, "", "name"], [2142, 4, 1, "", "nanos"], [2143, 4, 1, "", "normalize"], [2144, 4, 1, "", "rule_code"]], "pandas.tseries.offsets.YearEnd": [[2146, 2, 1, "", "copy"], [2147, 4, 1, "", "freqstr"], [2148, 2, 1, "", "is_anchored"], [2149, 2, 1, "", "is_month_end"], [2150, 2, 1, "", "is_month_start"], [2151, 2, 1, "", "is_on_offset"], [2152, 2, 1, "", "is_quarter_end"], [2153, 2, 1, "", "is_quarter_start"], [2154, 2, 1, "", "is_year_end"], [2155, 2, 1, "", "is_year_start"], [2156, 4, 1, "", "kwds"], [2157, 4, 1, "", "month"], [2158, 4, 1, "", "n"], [2159, 4, 1, "", "name"], [2160, 4, 1, "", "nanos"], [2161, 4, 1, "", "normalize"], [2162, 4, 1, "", "rule_code"]], "pandas.util": [[2164, 6, 1, "", "hash_array"], [2165, 6, 1, "", "hash_pandas_object"]]}, "objnames": {"0": ["py", "module", "Python module"], "1": ["py", "class", "Python class"], "2": ["py", "method", "Python method"], "3": ["py", "property", "Python property"], "4": ["py", "attribute", "Python attribute"], "5": ["py", "data", "Python data"], "6": ["py", "function", "Python function"], "7": ["py", "exception", "Python exception"]}, "objtypes": {"0": "py:module", "1": "py:class", "2": "py:method", "3": "py:property", "4": "py:attribute", "5": "py:data", "6": "py:function", "7": "py:exception"}, "terms": {"": [0, 1, 2, 3, 4, 5, 8, 10, 12, 13, 14, 16, 17, 18, 19, 22, 24, 25, 26, 28, 29, 30, 31, 32, 34, 35, 37, 39, 46, 68, 70, 71, 77, 79, 80, 82, 83, 89, 91, 92, 97, 98, 99, 102, 103, 104, 105, 106, 107, 110, 112, 113, 115, 116, 123, 126, 128, 134, 137, 138, 144, 146, 147, 153, 155, 156, 158, 160, 162, 163, 164, 165, 166, 167, 168, 169, 170, 172, 174, 176, 182, 184, 186, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 202, 203, 205, 207, 208, 210, 211, 212, 213, 218, 224, 225, 227, 228, 231, 232, 233, 241, 245, 249, 251, 253, 256, 258, 260, 262, 263, 265, 266, 267, 268, 270, 272, 273, 276, 277, 278, 279, 280, 284, 285, 287, 288, 289, 291, 292, 293, 294, 295, 296, 298, 300, 301, 304, 305, 314, 317, 318, 319, 320, 322, 323, 324, 329, 331, 332, 339, 341, 345, 354, 355, 359, 360, 366, 370, 376, 378, 380, 385, 392, 403, 411, 412, 414, 416, 417, 418, 421, 424, 428, 432, 436, 465, 483, 485, 489, 491, 492, 493, 498, 500, 501, 511, 519, 523, 526, 532, 533, 541, 547, 548, 549, 551, 560, 562, 563, 574, 576, 577, 579, 580, 581, 582, 586, 587, 588, 589, 591, 592, 593, 594, 597, 599, 601, 604, 616, 617, 618, 620, 621, 622, 623, 625, 626, 627, 628, 629, 630, 632, 633, 634, 635, 637, 639, 640, 641, 643, 644, 645, 646, 647, 649, 650, 651, 652, 656, 657, 667, 671, 673, 674, 675, 677, 678, 679, 681, 682, 683, 684, 686, 688, 690, 691, 698, 699, 702, 704, 709, 711, 714, 715, 716, 720, 721, 722, 723, 724, 727, 728, 729, 730, 731, 733, 735, 736, 737, 738, 740, 741, 742, 743, 744, 745, 746, 748, 750, 751, 752, 754, 757, 758, 760, 762, 764, 765, 766, 767, 768, 769, 770, 771, 776, 778, 779, 781, 782, 783, 784, 785, 786, 787, 788, 789, 793, 794, 800, 801, 802, 803, 805, 806, 807, 808, 810, 812, 813, 814, 815, 818, 819, 820, 821, 824, 827, 828, 829, 831, 833, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 848, 849, 852, 853, 854, 855, 856, 857, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 872, 873, 874, 875, 876, 877, 879, 880, 882, 884, 885, 886, 887, 888, 889, 891, 892, 894, 895, 896, 898, 900, 902, 903, 904, 906, 907, 908, 912, 913, 916, 917, 918, 919, 922, 923, 929, 930, 938, 939, 940, 943, 948, 949, 953, 954, 957, 970, 973, 997, 1012, 1017, 1031, 1040, 1051, 1052, 1061, 1064, 1067, 1068, 1069, 1071, 1072, 1076, 1088, 1118, 1141, 1148, 1149, 1153, 1154, 1155, 1158, 1164, 1173, 1174, 1175, 1188, 1190, 1193, 1202, 1203, 1207, 1208, 1211, 1212, 1213, 1221, 1231, 1232, 1234, 1235, 1242, 1243, 1249, 1251, 1254, 1264, 1269, 1270, 1272, 1275, 1280, 1286, 1289, 1296, 1305, 1306, 1309, 1315, 1316, 1318, 1320, 1322, 1323, 1324, 1326, 1328, 1329, 1330, 1331, 1332, 1333, 1335, 1336, 1337, 1343, 1344, 1345, 1354, 1355, 1358, 1377, 1388, 1389, 1390, 1391, 1395, 1396, 1397, 1400, 1403, 1404, 1406, 1414, 1415, 1416, 1421, 1422, 1423, 1430, 1431, 1432, 1433, 1445, 1446, 1447, 1453, 1456, 1457, 1458, 1460, 1468, 1469, 1470, 1471, 1473, 1475, 1476, 1478, 1479, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1490, 1497, 1498, 1499, 1500, 1699, 1720, 2036, 2054, 2166, 2167, 2184, 2185, 2186, 2187, 2191, 2192, 2193, 2194, 2196, 2197, 2198, 2199, 2200, 2201, 2202, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2213, 2214, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2240, 2253, 2254, 2257, 2260, 2261, 2262, 2264], "0": [2, 3, 5, 9, 10, 12, 13, 14, 15, 16, 17, 18, 19, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 39, 42, 44, 46, 54, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 143, 144, 145, 146, 147, 148, 149, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 175, 177, 178, 180, 181, 182, 183, 184, 185, 186, 188, 189, 190, 191, 193, 194, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 230, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 296, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 317, 318, 319, 323, 324, 325, 327, 328, 329, 331, 332, 333, 337, 339, 341, 345, 346, 352, 354, 355, 356, 357, 359, 360, 361, 363, 364, 366, 370, 371, 376, 377, 378, 379, 380, 381, 391, 392, 393, 394, 395, 398, 399, 402, 406, 411, 412, 413, 414, 417, 419, 420, 421, 424, 427, 428, 430, 431, 433, 434, 436, 437, 440, 445, 447, 448, 449, 452, 453, 454, 455, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 473, 475, 476, 477, 482, 483, 484, 486, 487, 489, 490, 492, 498, 499, 500, 501, 502, 503, 505, 509, 510, 513, 515, 517, 519, 522, 524, 530, 532, 535, 540, 543, 545, 547, 548, 549, 565, 568, 569, 570, 571, 573, 574, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 591, 592, 593, 594, 595, 597, 598, 599, 600, 601, 602, 603, 604, 609, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 671, 673, 674, 675, 678, 679, 681, 682, 683, 684, 686, 688, 689, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 704, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 724, 725, 726, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 746, 747, 748, 749, 750, 751, 752, 753, 755, 756, 758, 759, 760, 761, 762, 764, 765, 766, 767, 768, 769, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 892, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 906, 907, 908, 910, 911, 912, 913, 914, 916, 917, 919, 920, 921, 922, 923, 927, 928, 929, 934, 938, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 952, 953, 983, 996, 1001, 1003, 1004, 1006, 1021, 1024, 1036, 1044, 1045, 1046, 1051, 1052, 1054, 1060, 1061, 1063, 1067, 1069, 1071, 1072, 1073, 1074, 1075, 1076, 1077, 1078, 1082, 1088, 1092, 1095, 1096, 1099, 1106, 1109, 1111, 1113, 1118, 1123, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1140, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1263, 1264, 1265, 1267, 1268, 1269, 1270, 1272, 1273, 1274, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1350, 1354, 1355, 1362, 1371, 1374, 1375, 1380, 1381, 1384, 1385, 1387, 1388, 1389, 1390, 1391, 1393, 1394, 1395, 1396, 1397, 1398, 1400, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1414, 1416, 1419, 1421, 1422, 1423, 1430, 1431, 1432, 1433, 1434, 1435, 1436, 1438, 1439, 1440, 1441, 1442, 1443, 1444, 1445, 1446, 1447, 1448, 1449, 1450, 1453, 1454, 1455, 1456, 1458, 1463, 1465, 1466, 1467, 1468, 1469, 1470, 1471, 1472, 1473, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1489, 1490, 1491, 1493, 1494, 1496, 1497, 1498, 1499, 1500, 1509, 1517, 1527, 1535, 1545, 1553, 1563, 1571, 1578, 1583, 1591, 1598, 1604, 1612, 1623, 1631, 1640, 1648, 1657, 1662, 1670, 1677, 1683, 1691, 1699, 1704, 1712, 1720, 1725, 1733, 1741, 1744, 1752, 1762, 1770, 1779, 1787, 1793, 1798, 1806, 1815, 1820, 1828, 1843, 1851, 1857, 1860, 1868, 1880, 1888, 1898, 1906, 1916, 1924, 1933, 1941, 1950, 1958, 1968, 1976, 1985, 1993, 2003, 2011, 2022, 2030, 2040, 2048, 2058, 2066, 2076, 2084, 2090, 2093, 2101, 2108, 2111, 2119, 2130, 2138, 2148, 2156, 2165, 2166, 2167, 2184, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2196, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2274, 2275, 2278, 2279, 2286, 2287, 2290, 2292, 2293, 2295, 2297, 2308], "00": [0, 3, 18, 26, 27, 29, 30, 31, 68, 79, 80, 84, 88, 107, 139, 140, 144, 202, 207, 213, 218, 261, 264, 276, 277, 278, 286, 287, 288, 289, 293, 295, 296, 298, 299, 300, 301, 310, 311, 312, 315, 316, 317, 318, 319, 321, 322, 323, 324, 326, 329, 330, 331, 345, 363, 445, 511, 513, 515, 519, 526, 529, 531, 532, 533, 535, 547, 548, 549, 551, 554, 556, 560, 561, 562, 575, 577, 591, 592, 595, 600, 629, 637, 639, 640, 641, 645, 647, 649, 650, 651, 652, 654, 663, 664, 665, 668, 669, 670, 671, 673, 674, 675, 676, 677, 678, 679, 680, 681, 684, 685, 686, 781, 788, 793, 893, 902, 903, 904, 905, 909, 916, 917, 919, 922, 926, 928, 929, 931, 932, 933, 934, 937, 939, 940, 941, 943, 945, 946, 947, 948, 949, 953, 954, 955, 956, 957, 959, 960, 969, 970, 972, 982, 984, 987, 992, 996, 997, 1001, 1003, 1004, 1005, 1011, 1012, 1013, 1014, 1016, 1020, 1021, 1024, 1118, 1122, 1144, 1147, 1164, 1171, 1174, 1175, 1176, 1192, 1206, 1221, 1228, 1233, 1253, 1268, 1269, 1270, 1272, 1275, 1278, 1279, 1280, 1286, 1296, 1314, 1344, 1367, 1372, 1393, 1403, 1404, 1433, 1447, 1487, 1489, 1491, 1497, 1498, 1500, 1578, 1598, 1620, 1637, 1657, 1677, 1699, 1720, 1758, 1776, 1793, 1815, 1839, 1857, 1876, 1894, 1912, 1930, 1947, 1964, 1982, 2000, 2018, 2036, 2054, 2090, 2108, 2127, 2145, 2163, 2184, 2185, 2186, 2191, 2195, 2199, 2200, 2201, 2204, 2205, 2206, 2207, 2209, 2210, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2240, 2241, 2246, 2249, 2261, 2271, 2289, 2294, 2298, 2302], "000": [78, 162, 205, 268, 532, 778, 836, 837, 838, 839, 840, 841, 842, 843, 844, 1186, 1247, 1280, 1302, 1403, 1404, 1485, 1489, 2185, 2186, 2193, 2197, 2199, 2201, 2207, 2208, 2210, 2218, 2227, 2235, 2241, 2274, 2308], "0000": [24, 25, 28, 29, 31, 956, 995, 1013, 1018, 1019, 1403, 2202, 2210, 2225, 2246, 2271, 2301], "00000": [2201, 2235], "000000": [23, 28, 102, 121, 146, 162, 182, 185, 232, 273, 311, 532, 663, 696, 720, 760, 806, 900, 955, 1005, 1152, 1158, 1186, 1199, 1203, 1205, 1247, 1260, 1267, 1294, 1298, 1300, 1304, 1306, 1323, 1335, 1337, 1403, 1433, 1454, 2184, 2186, 2191, 2195, 2197, 2199, 2201, 2207, 2209, 2210, 2211, 2212, 2218, 2222, 2232, 2235, 2257, 2264, 2277, 2283], "000000000": [315, 532, 575, 668, 681, 893, 909, 2163, 2186, 2199, 2210, 2235, 2238, 2246, 2261], "000000000000004": 2241, "000000001": [315, 668, 669, 681, 928, 947, 996, 1498, 2199, 2201, 2209, 2232, 2238], "0000000011": 1498, "000000002": [315, 668, 669, 947, 2199, 2201], "000000003": [669, 947], "000000005": 2218, "000000010": 2218, "000000015": 2218, "000000020": 2218, "000000123": [2209, 2218], "000000e": [1489, 2204, 2222], "000001": [311, 663, 664, 946, 1964], "000002": [311, 663, 664, 946, 2195], "000002042": [287, 939, 941], "000003": [664, 946], "000005": 2186, "00001": 2264, "000010": 2210, "000015500": [1500, 2209, 2218, 2222], "00002": 2264, "000020": 2210, "00003": [1500, 2209, 2218, 2222], "000030": [1500, 2209, 2210, 2218, 2222], "000040": 2210, "000045": 2230, "000050": 2210, "000060": 2210, "000066": 2207, "000070": 2210, "000080": 2210, "000089": 2195, "000090": 2210, "0001": [203, 445, 2232], "000123": 2209, "000141": 2191, "000167": 2191, "000175": [2186, 2227], "0002": 2206, "000271": [102, 1158], "000308": 2207, "000339": 2186, "000400": 2232, "000430": 2191, "0005": 2232, "000514": 2207, "0006": 2302, "000830": 2214, "000895": 2195, "000951": 2186, "000k": 1489, "000m": 1489, "000n": 1489, "000z": 2294, "001": [532, 874, 1467, 2193, 2232, 2264], "001000": [917, 919, 922, 929, 1876, 2209], "001294": 2210, "001372": 2207, "001376": 2207, "001427": 2214, "001438": 2195, "001486": [102, 1158], "00180": 2294, "002": [2193, 2264], "002000": 2232, "002040": 2235, "002118": [2230, 2231], "002653": 2207, "002846": 2229, "003": [2185, 2193, 2235], "003144": 2210, "003337": 2207, "003494": 15, "003507": [2209, 2218], "003556": 2207, "00360": 2294, "003733": 2207, "003932": 2216, "003945": 2210, "004": [2186, 2193, 2227], "004000": 2232, "004005006": [287, 939], "004054": 2229, "004091": [2204, 2257], "004127": 2207, "004194": 2186, "004201": 2186, "004229": 2186, "004474": 2184, "004580": 2210, "00486": 30, "004956": 2207, "005": 2209, "005000": 2218, "005361": 2207, "005383": 2220, "005446": 2219, "005462": 2191, "005977": 2199, "005979": 2186, "006123": 2207, "006154": [2185, 2197, 2199, 2202, 2204, 2215, 2257], "0062": 2191, "006349": 2195, "006438": 2215, "006549": [182, 760], "006695": 2186, "006747": [2185, 2197, 2199, 2202, 2204, 2215], "006871": 2212, "006888": 2220, "006938": 2207, "007": 2193, "007200": 2184, "007207": [2184, 2214], "007717": 2199, "007824": 15, "007952": 2207, "007996": 2186, "007f": 203, "008182": 2204, "008298": 2186, "008344": 2207, "008358": 2207, "008500": 15, "008543": [102, 1158], "008943": [102, 1158], "009059": 2191, "009207": 2207, "009420": 2195, "009424": 2207, "009572": 2207, "009673": 2195, "009783": 2207, "009797": 2186, "009826": [102, 1158, 2205], "009920": [2184, 2195, 2214], "00am": 2230, "00index": 2218, "01": [3, 15, 16, 17, 19, 29, 30, 31, 79, 80, 82, 88, 107, 121, 182, 187, 207, 213, 218, 219, 230, 242, 261, 270, 271, 276, 277, 278, 283, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 326, 329, 330, 331, 332, 333, 345, 362, 363, 423, 445, 510, 511, 513, 514, 515, 516, 517, 519, 521, 523, 525, 529, 531, 532, 533, 534, 535, 536, 537, 541, 542, 543, 544, 545, 546, 547, 548, 549, 551, 554, 556, 557, 558, 560, 561, 562, 563, 564, 565, 566, 575, 591, 592, 593, 600, 629, 637, 639, 640, 641, 642, 643, 644, 645, 646, 647, 649, 650, 651, 652, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 665, 666, 667, 668, 670, 671, 673, 674, 675, 676, 677, 678, 679, 680, 684, 685, 686, 688, 689, 696, 760, 763, 781, 788, 793, 804, 817, 874, 893, 898, 899, 902, 903, 904, 905, 909, 910, 917, 919, 922, 929, 934, 939, 940, 943, 944, 945, 948, 949, 953, 954, 957, 959, 960, 969, 972, 982, 984, 997, 1000, 1001, 1003, 1004, 1005, 1011, 1014, 1016, 1017, 1020, 1021, 1024, 1051, 1075, 1078, 1106, 1118, 1122, 1141, 1144, 1145, 1147, 1157, 1164, 1170, 1171, 1176, 1180, 1185, 1192, 1195, 1197, 1206, 1214, 1221, 1227, 1228, 1233, 1239, 1245, 1246, 1253, 1256, 1258, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1277, 1278, 1279, 1280, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1344, 1345, 1367, 1391, 1392, 1393, 1436, 1447, 1452, 1475, 1488, 1490, 1498, 1500, 1501, 1506, 1524, 1542, 1560, 1620, 1699, 1720, 1741, 1793, 1815, 1857, 1930, 1947, 1982, 2036, 2054, 2090, 2108, 2127, 2163, 2184, 2185, 2186, 2188, 2191, 2193, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2204, 2205, 2206, 2207, 2209, 2210, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2240, 2241, 2246, 2249, 2261, 2264, 2265, 2271, 2283, 2289, 2294, 2298, 2302, 2307], "0100": [575, 893, 957, 970, 997, 1004, 1014, 1016, 1020, 1021, 1498, 2186, 2199, 2210, 2246, 2271], "010000": [954, 1894], "010010012": [923, 2209], "010026": 2191, "010081": 15, "010165": 2199, "010589": 2193, "010670": [102, 1158], "0108": 2257, "010903": 2207, "011111": [182, 760], "011342": 2207, "011351": 2207, "011374": 2195, "011470": 2207, "011736": 2186, "011829": 2207, "01183": 2229, "011860": [182, 760], "011975": 2207, "012108": 2207, "012299": 2207, "0123456789123456": [2164, 2165], "012549": 2207, "012694": 2199, "012922": 2219, "013086": 15, "0133": 2202, "013448": 2207, "013605": 2207, "013684": [182, 760], "013692": [102, 1158], "013747": 2199, "013768": 2230, "013810": [182, 760], "013863": 2199, "013960": [2185, 2197, 2199, 2202, 2204, 2215, 2257], "014": 2191, "014061": 2207, "014073": 2204, "014103": 2207, "014138": 2191, "014144": [102, 1158], "014648": 2186, "014752": 2235, "014805": 2202, "014871": [2185, 2197, 2199, 2202], "014888": 2207, "015": 2193, "015083": 2186, "015420": 2195, "015458": 2207, "015696": [2220, 2228, 2230], "015906": 2186, "015962": [2184, 2214], "015988": 2186, "016009": 15, "016287": 2210, "016331": 2210, "016424": [16, 19], "016692": [2184, 2195, 2214], "01685762652715874": [624, 1215], "017106": 2207, "017118": 2199, "017152": 2186, "017263": 2207, "017276": 2191, "017587": [2184, 2195, 2214], "017796": 2207, "018": 2199, "018007": 2207, "018117": 2191, "018193": 2207, "018409": 2207, "018601": [2184, 2214], "018808": 2207, "018904": 2207, "018941": 2207, "018993": 2214, "019": 2207, "019449": 2207, "019794": 2197, "01t00": [2163, 2199, 2210, 2235, 2246, 2261], "01t01": 2210, "01t03": 2210, "01t05": [909, 2210, 2235], "01t07": 1280, "01t10": 1005, "01t12": 953, "01t23": [893, 2186, 2246], "02": [13, 16, 17, 19, 26, 27, 29, 31, 79, 80, 82, 133, 182, 183, 202, 207, 208, 213, 218, 230, 261, 271, 276, 277, 278, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 299, 301, 304, 305, 306, 307, 310, 312, 313, 314, 318, 319, 320, 321, 322, 323, 324, 326, 327, 329, 330, 331, 332, 345, 362, 363, 423, 519, 534, 536, 542, 543, 544, 545, 546, 547, 548, 549, 557, 558, 562, 563, 564, 565, 566, 575, 591, 592, 593, 637, 639, 640, 641, 642, 643, 644, 645, 646, 647, 649, 650, 651, 652, 654, 656, 657, 658, 659, 665, 666, 667, 673, 674, 675, 677, 678, 679, 680, 684, 685, 686, 688, 708, 760, 761, 781, 782, 788, 793, 804, 893, 899, 902, 903, 904, 919, 939, 940, 943, 945, 948, 949, 953, 957, 970, 997, 1014, 1051, 1075, 1118, 1122, 1141, 1144, 1145, 1147, 1157, 1170, 1171, 1176, 1180, 1185, 1192, 1195, 1197, 1206, 1214, 1227, 1228, 1233, 1239, 1245, 1246, 1253, 1256, 1258, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1277, 1278, 1279, 1280, 1282, 1283, 1284, 1285, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1344, 1393, 1452, 1498, 1500, 1506, 1542, 1620, 1699, 1815, 1947, 2054, 2127, 2145, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2201, 2204, 2205, 2207, 2209, 2210, 2212, 2213, 2214, 2215, 2216, 2217, 2218, 2220, 2222, 2223, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2240, 2241, 2246, 2261, 2264, 2265, 2271, 2283, 2294, 2298, 2301, 2307], "0200": [957, 969, 970, 997, 1498, 2210], "020161": [102, 1158], "020208": 2195, "020376": 2207, "020399": 2195, "020485": 2207, "020544": 2186, "020762": 2220, "020940": 2230, "021244": 2207, "021255": 2230, "021292": 2186, "021377": 2207, "021382": 2184, "021499": 2186, "02155": 30, "022070": 2184, "022196": 2207, "022777": 2207, "023": [1447, 2193, 2200, 2232], "023100": 2195, "023167": 15, "023202": 2199, "023526": 2191, "023640": 2230, "023688": [15, 2185, 2191, 2197], "0237": 2204, "023721": 2207, "023888": 2186, "023898": 2195, "024121": 2207, "024180": [2185, 2197, 2199, 2202, 2204, 2215], "024320": 2210, "02458": 2195, "024580": [2184, 2195, 2214], "024738": [102, 1158], "024786": 2207, "024810": 2207, "0249": [267, 896], "024925": 2195, "024967": 2207, "025": [2186, 2222, 2227], "025054": 2184, "025270": 2186, "025363": 2186, "025367": 2207, "025747": [2191, 2197, 2207], "026036": 2207, "026158": 2210, "026220": 2191, "026437": 2197, "026458": 2216, "0266708": 2202, "026692": 2207, "0267": 2202, "027496": 2207, "027778": [69, 109, 129, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275], "028096": 2210, "028152": 2207, "028166": 15, "028182": 2207, "028578": 2207, "028603": 2195, "028662": 28, "028665": 15, "029": [2186, 2227], "029302": 2191, "029399": 2184, "029582": 2207, "029587": 2193, "029630": 2195, "029766": 2197, "02d": 2205, "02t00": [2199, 2210, 2235, 2261], "02t02": 2235, "02t05": [909, 2210], "03": [26, 27, 29, 31, 79, 80, 82, 121, 182, 207, 213, 218, 219, 230, 264, 278, 286, 287, 290, 291, 292, 294, 296, 298, 301, 302, 304, 305, 306, 307, 310, 313, 314, 318, 321, 322, 326, 330, 331, 332, 362, 420, 423, 512, 517, 518, 519, 522, 524, 530, 534, 536, 543, 544, 545, 546, 547, 548, 549, 551, 557, 558, 562, 563, 564, 565, 566, 591, 592, 593, 637, 640, 642, 643, 644, 646, 651, 652, 656, 657, 658, 659, 666, 667, 673, 675, 677, 680, 681, 685, 686, 688, 696, 760, 781, 788, 793, 799, 804, 904, 939, 941, 943, 944, 945, 948, 949, 953, 955, 956, 957, 958, 962, 970, 973, 983, 990, 992, 995, 997, 999, 1002, 1006, 1007, 1008, 1009, 1013, 1014, 1018, 1051, 1075, 1145, 1169, 1192, 1226, 1253, 1269, 1270, 1276, 1280, 1289, 1344, 1393, 1447, 1452, 1489, 1498, 1500, 1506, 1542, 1699, 1741, 1793, 1815, 1982, 2000, 2108, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2204, 2205, 2207, 2209, 2210, 2212, 2214, 2215, 2216, 2218, 2219, 2220, 2222, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2240, 2241, 2246, 2261, 2264, 2271, 2283, 2298, 2302], "030": [1447, 2200, 2232], "0300": 2271, "030000": 18, "030015": 2207, "030045": 2186, "030178": 2207, "030388": 2207, "030522": 2204, "030690": 2207, "030711": 2191, "030874": 2219, "030876": 2186, "031296": 2207, "031393": 2228, "03162": 2257, "031833": 2207, "031903": 2207, "032059": 2191, "032084": 2191, "032131": 2207, "032332": 2207, "032628": 2207, "032652": 2186, "032685": 2207, "032849": 2207, "033242": 2207, "033270": 2199, "033350": 2207, "033387": 2186, "033606": 2186, "033606102414146": 2186, "033695": 2186, "033718": 2204, "033823": 2210, "034": 1433, "034069": 2195, "034326": [2184, 2257], "034374": 2210, "034446": 2207, "034512": 2207, "034523": 2210, "034571": 2197, "034838": 2207, "034870": 2207, "034899": 2186, "034905": 2207, "035310": 2220, "035312": 2210, "035476": 2210, "035962": 2186, "036047": 2214, "036104": 2207, "036142": [2220, 2231], "0362": 2202, "0362196": 2202, "036235": 2205, "036660": 2199, "036854": 2199, "037181": 2191, "037528": 2235, "037651": 2207, "037772": 2214, "037882": [2184, 2214], "038": [1447, 2200, 2232], "038031": 2207, "038402": 2197, "038981": 2207, "039061": 2207, "039147": 2207, "039266": 2215, "039268": [15, 2185, 2186, 2191, 2197, 2199, 2202, 2204, 2215, 2216, 2218, 2219, 2235, 2241, 2264], "0393": [2186, 2191], "039575": [15, 2184, 2185, 2186, 2191, 2195, 2197, 2199, 2202, 2210, 2214, 2215, 2218, 2225, 2226, 2241, 2260], "0396": [2184, 2186], "039624": 2207, "039926": 2210, "03c": 2208, "03t00": [2199, 2210, 2235, 2261], "03t05": [909, 2210], "04": [26, 27, 29, 31, 80, 84, 88, 114, 127, 148, 149, 157, 177, 178, 207, 213, 230, 292, 294, 306, 307, 317, 330, 332, 345, 402, 423, 528, 529, 592, 595, 600, 640, 644, 646, 658, 659, 671, 685, 688, 703, 725, 726, 732, 755, 756, 781, 788, 804, 985, 1075, 1145, 1269, 1270, 1280, 1289, 1344, 1393, 1452, 1498, 1500, 1741, 1776, 1815, 2184, 2185, 2186, 2188, 2195, 2197, 2199, 2201, 2204, 2205, 2207, 2209, 2210, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2222, 2223, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2240, 2241, 2246, 2249, 2250, 2261, 2264, 2271, 2283, 2298], "0400": [2222, 2271], "040039": 2216, "040247": 2207, "0405": [182, 760], "040775": 2207, "040863": 2186, "041": [1447, 2200, 2232], "041290": 2197, "041575": 2219, "041665": 2205, "041898": 2207, "041927": 2199, "041933": 2184, "042041": 2207, "042275": [283, 910], "042322": 2207, "042379": [2184, 2195, 2214], "0424": 2257, "042856": 2218, "042935": 2207, "043263": 2210, "043302": 2207, "043558": 2207, "043702": 2199, "043719": 2186, "043771": 2204, "043859": 2207, "043877": 2207, "044125": 2207, "044184": 2199, "0442": [2184, 2186], "044236": [16, 17, 18, 19, 2184, 2185, 2186, 2191, 2195, 2197, 2199, 2202, 2210, 2214, 2215, 2216, 2218, 2220, 2225, 2235, 2241, 2260], "044522": 586, "044546": 2207, "044933": 2207, "045691": 2191, "045759": 2207, "045976": 2214, "046": 2207, "046044": 2199, "046582": 2207, "046611": 2210, "046731": 2207, "046805": 2207, "046882": 2199, "047": 2193, "047046": 2210, "047107": 2207, "047208": 2199, "047551": 2191, "047578": 2186, "047606": 2186, "047609": 2184, "047704": 2215, "047902": 2197, "048": [1447, 2200, 2232], "048048": 2197, "048074": 2207, "048089": 2197, "048543": 2207, "048553": 2207, "048693": 2230, "048777": 2204, "048788": 2197, "049": [1447, 2200, 2232], "049245": 2195, "049355": 2217, "049421": 2199, "049647": 2191, "049695": 2199, "049748": 2204, "049783": 2207, "049798": 2199, "049851": 2195, "04d": 2188, "04t00": 2261, "05": [13, 26, 27, 29, 30, 31, 80, 148, 149, 177, 178, 183, 207, 213, 218, 230, 264, 273, 276, 292, 294, 298, 302, 316, 326, 330, 331, 332, 345, 363, 423, 551, 592, 597, 644, 646, 670, 680, 685, 686, 688, 725, 726, 755, 756, 761, 781, 788, 793, 804, 900, 902, 905, 944, 1075, 1145, 1274, 1289, 1344, 1441, 1442, 1447, 1449, 1450, 1452, 1465, 1495, 1498, 1500, 1506, 1524, 1542, 1560, 1677, 1699, 1758, 2163, 2184, 2185, 2186, 2188, 2195, 2197, 2199, 2200, 2201, 2204, 2205, 2207, 2209, 2210, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2222, 2223, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2235, 2241, 2246, 2249, 2261, 2264, 2271, 2283, 2298, 2302, 2307], "0500": [24, 25, 28, 29, 32, 1498, 2210, 2235], "050000": [522, 524, 530], "050038": 2207, "050046": 2210, "050390": 2186, "050498": 2207, "051514": 2186, "051539": 2235, "051686": 2186, "051694": 2197, "051824": 2207, "051928": 2186, "052021": 2210, "052127": 2207, "052580": 2195, "052589": 2193, "052599": 2186, "052721": 2219, "052849": 2212, "0530": [1498, 2246], "053136": 2191, "053365": [182, 760], "053667": 2207, "053768": 2199, "053785": 2219, "054325": 2191, "0549": 2202, "054932": 2207, "054972": 2207, "055224": 2184, "055300": 2212, "055457": 2199, "055473": 2235, "055501": 2207, "055556": [69, 109, 129, 171, 173, 182, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 760], "055758": 2197, "055914": 2207, "056367": [283, 910], "056780": 2210, "056842": 2207, "056909": 2210, "057165": 2207, "057490": 2193, "057737": 2235, "057974": 2257, "058006": 2199, "058176": 2207, "0582": 2202, "0582158": 2202, "058373": 2207, "058534": 2210, "058615": 2207, "058664": 2195, "058837": 2210, "059018": 2199, "059277": [102, 1158], "0593": 2202, "059318": [182, 760], "059352": [102, 1158], "059382": 2207, "059478": 2210, "059481": 2207, "059552": 2207, "059761": 2207, "059869e": 2191, "059881": 2210, "059904": 2214, "05t00": 2261, "06": [26, 27, 29, 30, 31, 207, 213, 218, 230, 273, 292, 294, 332, 363, 526, 534, 536, 637, 644, 646, 688, 781, 788, 793, 804, 900, 969, 993, 1075, 1344, 1441, 1442, 1449, 1450, 1452, 1489, 1497, 1500, 1506, 1524, 1598, 1677, 2184, 2186, 2195, 2197, 2199, 2201, 2204, 2205, 2207, 2209, 2210, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2222, 2226, 2230, 2231, 2232, 2235, 2246, 2249, 2261, 2264, 2271, 2298, 2302], "060015": 2207, "060074": 2185, "060603": 2207, "060654": 2207, "060777": 2207, "061019": 2199, "061068": 2210, "061233": 2207, "061438": 2199, "061645": 2193, "061810": 2204, "061876": [182, 760], "061932": 2186, "062191": 2230, "062320": 2207, "062433": 2199, "062993": 2197, "0630": 2246, "063038": 2199, "063123": 2210, "0633": 2204, "063327": [2185, 2197], "063328": 2235, "063367": 2216, "063474": 2207, "063477": 2186, "063850": 2207, "063922": 2184, "063933": 2207, "064": 2207, "064034": [15, 2191], "064423": 2207, "064434": 2207, "065587": 2218, "065761": 2207, "065818": [2204, 2207], "065934": [182, 760], "066126": 2207, "066510": 2210, "066533": 2210, "066786": 2207, "067091": 2199, "067137": 2197, "067503": 2207, "067650": 2204, "067946": 1416, "068053": 2195, "068184": 2210, "068190": 15, "068226": 2235, "068634": 2230, "068691": 2191, "069025": 2195, "069036": 2210, "069177": 2210, "069390": 2195, "069391": 2199, "069436": 2207, "069486": 2230, "069546": 2199, "069718": 2186, "069887": 2207, "069908": 2207, "069949": 2207, "06t00": 2261, "07": [26, 27, 29, 30, 31, 187, 202, 207, 213, 230, 273, 277, 292, 294, 330, 332, 345, 644, 646, 685, 688, 763, 781, 788, 804, 900, 903, 1075, 1280, 1344, 1441, 1442, 1449, 1450, 1452, 1598, 1677, 1720, 2184, 2186, 2195, 2197, 2199, 2201, 2204, 2205, 2207, 2209, 2210, 2212, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2222, 2226, 2227, 2228, 2230, 2231, 2235, 2261, 2271, 2294, 2298], "0700": 995, "070087": 2218, "070816": 2235, "071068": 2222, "071357": 2191, "071665": 2219, "0718": [2184, 2186], "071804": [15, 2184, 2185, 2186, 2191, 2195, 2197, 2199, 2202, 2210, 2214, 2215, 2225, 2231, 2241, 2257, 2260], "071883": 2207, "072": [1447, 2200, 2232], "072266": 2216, "072496": 2207, "072608": 2235, "072718": 2210, "073134": 2184, "073292": 2207, "073308": 2257, "07337": 2257, "073561": 2207, "073711": 2184, "073934": 2207, "074": [2186, 2227], "074315": 2197, "074354": 2207, "074597": 2210, "074752": 2210, "074978": [2220, 2231], "075": [1447, 2200, 2232], "0750": [24, 25], "075381": 2230, "075422": 2207, "075499": 2219, "075718": 2207, "075758": 2195, "07577": 2241, "075770": [15, 2185, 2186, 2191, 2197, 2199, 2215, 2216, 2218, 2219, 2235, 2241, 2264], "0758": 2191, "075962": 2191, "076076": 2207, "076404": 2197, "076467": [15, 2185, 2197, 2199, 2202, 2215, 2257], "076475": 2207, "076524": 2216, "076610": [2184, 2257], "076676": 2195, "076879": 2207, "077007": 2207, "077118": [2184, 2195, 2214], "077151": 2199, "077324": 2195, "077807": 2207, "077988": 2207, "078638": [2185, 2197, 2199, 2202, 2204], "078716": 2207, "078718": 2197, "078832": 2207, "079115": 2207, "079150": 2185, "079255": 2207, "079307": 15, "079587": 2230, "079631": 2207, "0797": 2202, "079769": 2207, "079915": 2193, "07t00": 2261, "08": [29, 30, 107, 207, 213, 230, 264, 273, 277, 292, 294, 316, 326, 330, 332, 629, 644, 646, 670, 680, 685, 688, 781, 788, 804, 900, 903, 1075, 1145, 1164, 1221, 1274, 1289, 1344, 1441, 1442, 1449, 1450, 1452, 1495, 1497, 1506, 1598, 1657, 1677, 1699, 1720, 1741, 2184, 2185, 2186, 2191, 2195, 2197, 2199, 2201, 2204, 2205, 2207, 2209, 2210, 2212, 2214, 2215, 2218, 2220, 2222, 2226, 2228, 2230, 2231, 2232, 2235, 2246, 2249, 2261, 2271, 2294, 2307], "0800": [953, 2210], "080174": 2207, "080372": 2199, "080952": [2184, 2214], "081009": 2195, "081161": 2216, "081249": 2207, "081304": 2207, "081447": 2210, "081666": 2211, "081748": 2210, "081842": 2207, "082240": [2185, 2191, 2197, 2199], "082423": [2191, 2197], "082523": 2207, "082764": 2197, "082900": 2214, "082901": 2212, "082960": 2207, "083010": 2207, "083333": 2222, "083352": 2191, "08335394550": 1371, "083515": 15, "083675": 2207, "084601": 2191, "084844": [2185, 2191, 2197, 2202, 2204], "084917": 2195, "084n": 2202, "084u": 2202, "085070": 2207, "085193": 2207, "085288": 2210, "085537": 2191, "085631": [2166, 2218, 2229], "0856630": 2202, "0857": 2202, "085701": 2207, "085827": 2207, "085908": 2207, "085954": 2210, "086037": 2207, "086843": 2184, "087183": 2199, "087302": 2184, "0874": [2184, 2186, 2191], "087401": [2184, 2185, 2186, 2191, 2197, 2199, 2202, 2204, 2210, 2214, 2215, 2216, 2218, 2225, 2226, 2231, 2241, 2264], "0875": 2202, "088060": 2210, "088224": 2199, "088259": 2186, "088417": 15, "088563": 2199, "088787": 2215, "089069": 2222, "089075": 2197, "089227": 2207, "089329": [2184, 2195, 2214], "089354": 2235, "089589": 2207, "089641": 2207, "089759": 2186, "08t00": 2261, "09": [29, 80, 84, 88, 107, 127, 157, 213, 218, 276, 277, 278, 322, 330, 331, 345, 562, 592, 595, 600, 629, 637, 677, 685, 686, 703, 732, 788, 793, 902, 903, 904, 987, 1008, 1075, 1164, 1221, 1344, 1452, 1489, 1501, 1506, 1524, 1578, 1598, 1657, 1677, 1699, 1720, 1741, 1758, 1839, 1876, 1894, 1912, 1964, 2018, 2184, 2185, 2186, 2191, 2195, 2197, 2199, 2201, 2204, 2205, 2207, 2209, 2210, 2212, 2213, 2218, 2220, 2221, 2222, 2226, 2228, 2230, 2231, 2232, 2233, 2235, 2238, 2249, 2250, 2261, 2271], "0900": [956, 1013], "090118": 2219, "090255": 2197, "090310": 2207, "090711": 2207, "091": [2186, 2227], "091000": 2207, "091391": 2207, "091430": 15, "091566": 2207, "091826": 2207, "091850": 2207, "091886": 15, "092130": 2199, "092166": 2207, "092225": 2186, "092759": 2218, "092888": 1019, "092903": 2214, "093110": 2195, "093128": 2207, "093158": 2207, "093650": 2219, "094055": [2191, 2197], "094104": 2195, "094112": [182, 760], "094209": 2207, "094269": 2199, "094517": 2199, "094536": 2207, "094544": 2199, "094676": 2207, "094709": 2229, "094899": 2199, "094948": 2199, "095019": 2207, "095025": 2210, "095031": 2197, "096061": 2205, "096271": 2186, "0963": [182, 760], "096364": 2235, "096576": 2207, "096701": 2214, "096705": 2207, "096706": 2186, "096946": 2210, "096959": 2207, "097": 2207, "097318": 2207, "097384": 2230, "097554": 2204, "097771": 2199, "0978826728": 2199, "097883": [2185, 2197, 2199, 2202, 2204], "098108": 2207, "098217": 2186, "098352": 2195, "098371": 2195, "098598": 2186, "098728": 2207, "098798": 2207, "098866": 2207, "099274": 2199, "099395": 2207, "099774": 2199, "099873": 2207, "099998": 2218, "09t00": 2261, "0_item": [71, 580], "0bac803e32dc42ae83fddfd029cbdebc": 2199, "0categori": 1360, "0d": [2231, 2265], "0e": 1489, "0e3": 2202, "0e6": 2202, "0em": 2207, "0f": 2207, "0hr": 234, "0j": [168, 2199], "0k": 1489, "0m": 1489, "0n": [1489, 2298], "0px": 2207, "0rc0": 13, "0th": [26, 249, 882, 1202, 2185, 2197, 2199, 2235], "0x00": 2294, "0x40": 2294, "0x7efd0c0b0690": 3, "0x7f26874ba6d0": 2230, "0x7f268af58220": 2210, "0x7f26a60a7930": 2199, "0x7f26af3dba30": 2197, "0x7f26bd415d10": 2246, "0x7f26df0501d0": 2195, "1": [1, 2, 4, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 39, 42, 44, 46, 49, 54, 56, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 134, 135, 136, 137, 138, 139, 140, 141, 143, 144, 145, 146, 148, 149, 151, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 177, 178, 180, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 317, 318, 319, 321, 323, 324, 325, 326, 327, 328, 329, 331, 332, 333, 337, 339, 341, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 361, 363, 364, 366, 367, 370, 371, 372, 375, 376, 377, 378, 380, 382, 384, 385, 386, 387, 388, 389, 390, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 403, 404, 405, 406, 407, 408, 409, 411, 412, 414, 415, 416, 417, 419, 420, 421, 422, 423, 424, 425, 426, 427, 429, 430, 431, 432, 433, 434, 435, 436, 437, 440, 446, 449, 450, 451, 455, 456, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 473, 475, 476, 477, 478, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 495, 496, 498, 499, 500, 501, 502, 503, 505, 509, 510, 511, 514, 516, 519, 525, 531, 532, 533, 534, 536, 540, 543, 545, 547, 548, 549, 551, 557, 558, 561, 565, 568, 569, 571, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 589, 590, 591, 592, 593, 594, 595, 596, 597, 599, 600, 601, 602, 603, 604, 609, 613, 614, 615, 616, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 671, 673, 674, 675, 676, 678, 679, 680, 681, 682, 683, 684, 686, 688, 689, 690, 691, 692, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 709, 710, 711, 712, 713, 714, 715, 716, 717, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 743, 744, 747, 748, 749, 750, 751, 752, 753, 755, 756, 758, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 810, 812, 813, 814, 815, 816, 817, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 891, 892, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 912, 913, 914, 916, 918, 921, 923, 927, 930, 938, 939, 940, 941, 942, 943, 945, 946, 947, 948, 949, 950, 951, 952, 953, 957, 959, 960, 970, 977, 979, 981, 984, 994, 997, 1003, 1004, 1005, 1006, 1011, 1012, 1021, 1031, 1032, 1033, 1034, 1035, 1036, 1038, 1039, 1040, 1041, 1042, 1043, 1044, 1045, 1046, 1047, 1048, 1049, 1050, 1051, 1052, 1053, 1054, 1055, 1056, 1057, 1058, 1059, 1060, 1061, 1062, 1063, 1064, 1065, 1066, 1067, 1068, 1069, 1071, 1072, 1073, 1074, 1075, 1076, 1077, 1078, 1079, 1080, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1089, 1091, 1092, 1093, 1095, 1096, 1097, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1118, 1119, 1121, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1347, 1348, 1350, 1354, 1355, 1358, 1359, 1362, 1363, 1368, 1369, 1372, 1373, 1374, 1375, 1377, 1380, 1381, 1382, 1383, 1384, 1385, 1387, 1388, 1389, 1390, 1391, 1393, 1394, 1395, 1396, 1397, 1398, 1399, 1400, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1419, 1421, 1422, 1423, 1424, 1430, 1431, 1432, 1433, 1434, 1435, 1436, 1437, 1438, 1439, 1440, 1441, 1442, 1443, 1444, 1445, 1446, 1447, 1448, 1449, 1450, 1453, 1454, 1455, 1457, 1458, 1459, 1460, 1462, 1463, 1464, 1466, 1467, 1468, 1469, 1470, 1473, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1482, 1483, 1485, 1486, 1487, 1488, 1489, 1490, 1491, 1493, 1494, 1495, 1496, 1497, 1498, 1499, 1500, 1502, 1506, 1507, 1509, 1510, 1511, 1512, 1513, 1514, 1515, 1516, 1517, 1524, 1525, 1527, 1528, 1529, 1530, 1531, 1532, 1533, 1534, 1535, 1542, 1543, 1545, 1546, 1547, 1548, 1549, 1550, 1551, 1552, 1553, 1560, 1561, 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1571, 1578, 1580, 1583, 1584, 1585, 1586, 1587, 1588, 1589, 1590, 1591, 1598, 1600, 1604, 1605, 1606, 1607, 1608, 1609, 1610, 1611, 1612, 1620, 1621, 1623, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1631, 1637, 1638, 1640, 1641, 1642, 1643, 1644, 1645, 1646, 1647, 1648, 1657, 1659, 1662, 1663, 1664, 1665, 1666, 1667, 1668, 1669, 1670, 1677, 1679, 1683, 1684, 1685, 1686, 1687, 1688, 1689, 1690, 1691, 1699, 1701, 1704, 1705, 1706, 1707, 1708, 1709, 1710, 1711, 1712, 1720, 1722, 1725, 1726, 1727, 1728, 1729, 1730, 1731, 1732, 1733, 1741, 1742, 1744, 1745, 1746, 1747, 1748, 1749, 1750, 1751, 1752, 1758, 1759, 1763, 1764, 1765, 1766, 1767, 1768, 1769, 1770, 1776, 1777, 1779, 1780, 1781, 1782, 1783, 1784, 1785, 1786, 1787, 1793, 1794, 1798, 1799, 1800, 1801, 1802, 1803, 1804, 1805, 1806, 1815, 1816, 1820, 1821, 1822, 1823, 1824, 1825, 1826, 1827, 1828, 1839, 1840, 1844, 1845, 1846, 1847, 1848, 1849, 1850, 1851, 1857, 1858, 1860, 1861, 1862, 1863, 1864, 1865, 1866, 1867, 1868, 1876, 1877, 1881, 1882, 1883, 1884, 1885, 1886, 1887, 1888, 1894, 1895, 1899, 1900, 1901, 1902, 1903, 1904, 1905, 1906, 1912, 1913, 1917, 1918, 1919, 1920, 1921, 1922, 1923, 1924, 1930, 1931, 1933, 1934, 1935, 1936, 1937, 1938, 1939, 1940, 1941, 1947, 1948, 1950, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1964, 1965, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1976, 1982, 1983, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 2000, 2001, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2018, 2019, 2023, 2024, 2025, 2026, 2027, 2028, 2029, 2030, 2036, 2037, 2040, 2041, 2042, 2043, 2044, 2045, 2046, 2047, 2048, 2054, 2055, 2058, 2059, 2060, 2061, 2062, 2063, 2064, 2065, 2066, 2073, 2077, 2078, 2079, 2080, 2081, 2082, 2083, 2084, 2090, 2091, 2093, 2094, 2095, 2096, 2097, 2098, 2099, 2100, 2101, 2108, 2109, 2111, 2112, 2113, 2114, 2115, 2116, 2117, 2118, 2119, 2127, 2128, 2130, 2131, 2132, 2133, 2134, 2135, 2136, 2137, 2138, 2145, 2146, 2148, 2149, 2150, 2151, 2152, 2153, 2154, 2155, 2156, 2163, 2164, 2165, 2166, 2184, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2196, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2208, 2209, 2210, 2211, 2212, 2214, 2216, 2217, 2218, 2220, 2222, 2224, 2225, 2227, 2228, 2230, 2232, 2238, 2240, 2241, 2243, 2245, 2246, 2249, 2257, 2259, 2260, 2263, 2298, 2307, 2309, 2310], "10": [2, 3, 5, 6, 9, 10, 15, 16, 17, 18, 19, 21, 22, 24, 25, 26, 27, 28, 29, 30, 31, 32, 68, 69, 74, 80, 83, 84, 85, 88, 91, 94, 97, 98, 102, 105, 109, 111, 113, 119, 120, 121, 129, 133, 137, 138, 139, 140, 142, 144, 160, 163, 171, 173, 187, 188, 189, 190, 192, 193, 199, 202, 203, 204, 206, 207, 212, 213, 215, 216, 217, 220, 221, 222, 223, 228, 230, 234, 244, 258, 265, 268, 275, 276, 278, 284, 286, 288, 289, 293, 295, 296, 298, 300, 302, 316, 317, 318, 322, 323, 324, 329, 330, 331, 345, 395, 423, 427, 440, 445, 509, 514, 516, 534, 536, 544, 546, 551, 554, 556, 560, 562, 568, 569, 570, 571, 572, 577, 583, 592, 594, 595, 596, 600, 620, 621, 627, 635, 639, 641, 645, 647, 648, 649, 650, 652, 670, 671, 673, 677, 678, 679, 681, 684, 685, 686, 695, 696, 708, 713, 714, 738, 741, 763, 764, 765, 766, 768, 781, 787, 788, 798, 804, 808, 836, 837, 838, 839, 840, 841, 842, 843, 844, 849, 852, 863, 868, 874, 889, 895, 902, 904, 912, 923, 940, 942, 943, 944, 948, 957, 959, 960, 970, 982, 984, 995, 997, 1001, 1003, 1004, 1005, 1011, 1016, 1020, 1021, 1069, 1071, 1072, 1075, 1109, 1154, 1158, 1162, 1163, 1173, 1174, 1175, 1180, 1185, 1189, 1195, 1200, 1205, 1219, 1220, 1230, 1239, 1246, 1250, 1256, 1261, 1264, 1267, 1284, 1288, 1291, 1292, 1294, 1297, 1298, 1299, 1306, 1308, 1319, 1324, 1343, 1344, 1345, 1350, 1367, 1387, 1391, 1403, 1411, 1416, 1418, 1420, 1421, 1440, 1447, 1451, 1452, 1458, 1462, 1467, 1473, 1478, 1479, 1482, 1485, 1488, 1490, 1491, 1498, 1598, 1657, 1677, 1699, 1720, 1741, 1758, 1894, 1912, 2018, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2196, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2234, 2235, 2238, 2240, 2241, 2246, 2249, 2254, 2257, 2260, 2261, 2264, 2265, 2271, 2277, 2283, 2289, 2290, 2294, 2298, 2302, 2307, 2308], "100": [3, 15, 17, 22, 30, 68, 97, 98, 111, 118, 132, 135, 141, 142, 145, 159, 161, 175, 182, 192, 202, 207, 212, 213, 233, 273, 303, 345, 359, 360, 427, 577, 587, 588, 620, 621, 655, 709, 717, 760, 781, 787, 788, 900, 1345, 1391, 1398, 1447, 1457, 1472, 1473, 1488, 1490, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2207, 2208, 2209, 2210, 2211, 2212, 2218, 2220, 2222, 2223, 2225, 2226, 2230, 2231, 2232, 2235, 2241, 2242, 2246, 2249, 2302, 2307], "1000": [9, 10, 15, 24, 25, 28, 29, 32, 102, 141, 183, 191, 193, 194, 427, 717, 761, 767, 768, 769, 874, 1154, 1158, 1456, 1465, 1467, 1876, 1964, 2184, 2185, 2186, 2188, 2193, 2195, 2199, 2205, 2206, 2207, 2210, 2211, 2220, 2223, 2229, 2230, 2235, 2238, 2246, 2249, 2261, 2294], "10000": [192, 1485, 2185, 2201, 2206, 2210, 2220, 2228, 2266], "100000": [1354, 1372, 2199, 2201, 2210], "1000000": [144, 2199, 2228], "1000000000000000": 1039, "100000d": 1497, "100001": 1497, "10001": 2232, "10008": [2231, 2232], "1001": [2195, 2199], "100123": 2225, "1001m": [917, 919, 922, 929], "1002": [16, 17, 18, 19, 2199, 2205, 2235], "10022": 2226, "100230": 2184, "10024": 2226, "10025": 2226, "100298": 2205, "1003": [16, 17, 18, 19, 30, 2199, 2235], "10031": 2226, "10032": 2226, "10038": 2226, "10039": 2226, "1004": [16, 17, 18, 19, 2199, 2235], "10040": 2226, "10041": 2230, "10043": 2226, "10045": 2226, "10047": 2226, "1005": [16, 17, 18, 19, 2199, 2235], "10050": 2227, "10052": 2226, "10058": 2227, "10063": 2226, "10065": 2265, "10067": 2227, "10068": 2227, "100780": 2186, "10081": 2227, "10083": 2226, "100845": 2207, "10087": 2227, "10089": 2229, "10092": 2226, "10096": 2227, "100y": 1344, "101": [207, 781, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2207, 2208, 2209, 2210, 2211, 2212, 2218, 2222, 2230, 2231, 2232, 2235, 2246], "10103": 2231, "10110": 2228, "10114": 2228, "10115": 2228, "101154": 2207, "10117": 2246, "10119": 2227, "10121": 2227, "101217": 2207, "10125": 2228, "10126": 2227, "10129": 2227, "1013": [16, 17, 18, 19, 27, 2199, 2203, 2232, 2235, 2298], "10132": 2227, "10138": 2227, "1014": [16, 17, 18, 19, 2199, 2203, 2232, 2235, 2298], "10149": 2227, "1015": [16, 17, 18, 19, 2199, 2203, 2232, 2235, 2298], "10150": 2228, "10153": 2232, "10154": 2228, "10156": 2227, "10160": 2227, "10161": 2228, "10165": 2230, "101684": 2185, "1017": 2185, "10170": 2227, "10172": 2227, "10174": 2230, "10177": 2228, "10178": 2228, "1018": [2185, 2205], "10181": 2227, "10182": 2227, "101830": 2207, "10184": 2227, "10193": 2228, "102": [1491, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2204, 2207, 2208, 2209, 2210, 2211, 2218, 2222, 2230, 2232, 2235, 2246, 2249], "1020": 2185, "10209": 2227, "1021": [2185, 2197, 2231], "10214": [2227, 2228], "10217": 2227, "10218": 2228, "1022": [16, 17, 18, 19, 2185, 2199, 2203, 2205, 2232, 2235, 2298], "10228": 2228, "1023": [16, 17, 18, 19, 2185, 2199, 2203, 2232, 2235, 2298], "10231": 2227, "10235": 2232, "10236": 2235, "1024": [16, 17, 18, 19, 2194, 2199, 2203, 2232, 2235, 2298], "10241": 2227, "10242": 2228, "10245": 2227, "1025": 2199, "10251": 2227, "102535": 2199, "10255": 2227, "10258": 2227, "10259": 2241, "1026": [16, 17, 18, 19, 2199, 2203, 2232, 2235, 2298], "10261": 2289, "10264": 2227, "1027": 2199, "10273": 2228, "10277": 2230, "10278": 2228, "1028": [2199, 2205], "10280": 2227, "10285": 2283, "10287": 2228, "102889": 18, "10289": 2227, "1029": 2199, "10291": 2230, "10292": 2227, "10295": 2228, "10299": 2229, "103": [139, 140, 1174, 1175, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2204, 2207, 2208, 2209, 2210, 2211, 2212, 2218, 2222, 2227, 2230, 2232, 2235, 2246, 2255], "1030": 2199, "10303": 2227, "1031": 2199, "103104": 2235, "10317": 2227, "10319": 2277, "103219": 2207, "10324": 2228, "1033": 31, "10330": 2227, "10331": 2231, "10332": 2227, "103333": 2218, "103362": 2186, "103370": 2191, "10344": 2228, "10355": [597, 2271], "1036": [16, 17, 18, 19, 2199, 2235], "10360": [2194, 2228], "10362": 2194, "10363": 2194, "10364": [2194, 2232], "10366": 2228, "103675": 2199, "10369": 2228, "1037": [16, 17, 18, 19, 2199, 2235], "10372": 2194, "10373": 2194, "10374": 2194, "10378": 2228, "1038": [16, 17, 18, 19, 2199, 2235], "10381": 2234, "10384": 2228, "10385": 2228, "10387": 2228, "10388": 2228, "1039": 2202, "10390": 2246, "10392": 2228, "10393": 2228, "10395": 2228, "104": [2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2204, 2208, 2209, 2210, 2211, 2218, 2220, 2222, 2226, 2230, 2232, 2235, 2246, 2253, 2294], "1040": 2202, "104011": 2235, "10408": 2228, "10409": 2235, "1041": 2205, "10411": 2228, "10412": 2228, "10413": 2228, "104139": 2197, "10417": 2228, "1042": 2220, "10420": 2228, "10425": 2228, "10426": 2228, "104352": 2235, "10439": 2228, "10442": 2229, "10443": 2228, "10447": 2228, "10448": 2228, "10451": 2228, "10452": 2231, "104569": [15, 2184, 2185, 2186, 2191, 2195, 2197, 2199, 2202, 2206, 2210, 2214, 2215, 2220, 2225, 2241, 2257, 2260], "1046": [2184, 2186], "10460": 2228, "10467": 2228, "104677": 15, "104699": 2230, "104759": 2207, "10476": 2232, "10477": 2228, "104803": 2195, "10482": 2228, "10483": 2228, "10485": 2228, "10486": 2230, "104971": 2207, "105": [2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2204, 2208, 2209, 2210, 2211, 2218, 2220, 2222, 2230, 2232, 2235, 2246, 2271], "10503": 2230, "10505": 2228, "10508": 2228, "10510": 2229, "10511": 2249, "1051201": 2205, "1051471": 2205, "10519": 2249, "10521": 2283, "105212": 2199, "105252": 2207, "10527": 2230, "10530": 2228, "10531": 2228, "10534": 2199, "10535": 2199, "10536": [2199, 2231], "105363": 2207, "10537": 2199, "10538": 2199, "105381": [2184, 2214], "10546": 2228, "105469": 2216, "10547": 2228, "10548": 2228, "105515": 2207, "10553": 2228, "10559": 2238, "10560": 2231, "10564": 2228, "10565": 2228, "10567": 2232, "10568": 2228, "10569": 2228, "10571": 2231, "105758": 2186, "10577": 2228, "10581": 2228, "10583": 2228, "105845": 2207, "10587": 2228, "10590": 2228, "10591": 2228, "106": [28, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2204, 2208, 2209, 2210, 2211, 2218, 2220, 2222, 2230, 2232, 2235, 2246], "1060": 2212, "10604": 2228, "106068": 2207, "1061": [2194, 2212], "10610": 2228, "10611": 2246, "10618": 2228, "1062": [2194, 2197, 2212, 2231], "10620": 2228, "106252": 2207, "1063": [2186, 2194, 2212], "10630": 2228, "10632": 2235, "10633": [2228, 2249], "10636": 2228, "10637": 2228, "10638": 2228, "10639": 2228, "1064": [2194, 2212], "10645": 2228, "10648": 2231, "1065": [2194, 2212], "10652": 2228, "10657": 2228, "1066": 2212, "10660": 2229, "10661": 2229, "10665": 2228, "10668": 2235, "1067": 2218, "10673": 2229, "106751": [924, 2209], "106752": [926, 2209], "10678": 2246, "106854": 2185, "10690": 2232, "10692": 2228, "10696": 2241, "10697": 2228, "10698": 2228, "10699": 2228, "107": [2184, 2185, 2186, 2188, 2191, 2192, 2195, 2197, 2199, 2200, 2201, 2204, 2208, 2209, 2210, 2211, 2218, 2220, 2222, 2230, 2232, 2235], "10704": 2228, "10709": 2229, "10711": 2235, "10713": 2228, "10726": [2235, 2265], "10728": 2228, "1073": 2218, "10730032": 2238, "10730064": 2238, "10730096": 2238, "10735": [2228, 2235], "10738": 2228, "10741": 2228, "10744": 2228, "10747": 2228, "10748": [2228, 2235], "10750": 2228, "10757": 2228, "10758": 2232, "10763": 2228, "10772": 2302, "10778": 2231, "107780": 2235, "10779": 2228, "1078": 2194, "10789": 2230, "1079": [2194, 2228], "10791": 2228, "10792": [2228, 2235], "108": [273, 900, 2184, 2185, 2186, 2188, 2191, 2192, 2195, 2197, 2199, 2200, 2201, 2204, 2208, 2209, 2210, 2211, 2218, 2220, 2222, 2230, 2232, 2235, 2246], "1080": [69, 109, 129, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 2194, 2212], "10804": 2228, "10806": 2232, "1081": [2194, 2212], "10817": 2228, "10819": 2228, "1082": [2194, 2212], "10820": 2228, "10821": 2228, "10824": 2228, "1083": [2194, 2212], "10833": 2228, "1084": [2194, 2212], "10844": 2228, "1085": [2194, 2210, 2212], "10856": 2228, "1086": [2210, 2212], "10861": 2228, "1087": 2212, "10875": 2228, "108752": 2219, "108775": 2219, "10878": 2228, "1088": [2210, 2212], "10881": 2228, "10882": 2235, "10885": 2228, "10888": 2228, "1089": [2210, 2212], "10890": [2228, 2235], "10892": [2228, 2246], "109": [2184, 2185, 2186, 2188, 2191, 2192, 2195, 2197, 2199, 2200, 2201, 2204, 2207, 2208, 2209, 2210, 2211, 2218, 2222, 2223, 2230, 2231, 2232, 2235, 2246], "1090": [22, 2210, 2212], "10904": [2232, 2238], "10905": 2241, "109050": [2185, 2186, 2191, 2197, 2199, 2215, 2216, 2218, 2219, 2235, 2241], "10907": 2228, "1091": [2210, 2212], "10911": 2231, "10912": 2228, "109121": [15, 2191], "10914": 2228, "10917": 2228, "1092": [16, 17, 18, 19, 2199, 2210, 2235], "10920": 2235, "109250": 2215, "109291": 2210, "1093": [16, 17, 18, 19, 2199, 2210, 2235], "10932": 2246, "10939": 2228, "1094": 2210, "10940": 2257, "10946": 2228, "1095": [16, 17, 18, 19, 2193, 2199, 2210, 2235], "109503": 2207, "10952": 2228, "109597": 2186, "1096": [16, 17, 18, 19, 2199, 2210, 2235], "10962": 2228, "10967": 2238, "1097": [16, 17, 18, 19, 2199, 2210, 2235], "10970": 2229, "109716": 2185, "10972": 2235, "10979": 2228, "1098": [30, 2210], "10982": 2229, "109868": 2207, "109898": 2195, "1099": 2210, "10993": 2229, "10998": 30, "10_000": 2193, "10d": [302, 944, 2209], "10em": 1398, "10f": 2199, "10h": [2210, 2235], "10m": [16, 1447, 2200], "10min": 2230, "10t00": 2261, "10th": [2205, 2241], "10x": [1469, 1486, 1498, 2216, 2219, 2225, 2257], "11": [2, 10, 15, 17, 18, 19, 22, 24, 25, 26, 27, 28, 29, 30, 31, 32, 88, 108, 111, 113, 120, 127, 139, 140, 157, 162, 196, 213, 286, 288, 289, 293, 295, 296, 300, 316, 317, 318, 323, 324, 329, 330, 420, 423, 440, 509, 512, 518, 522, 524, 526, 530, 534, 536, 554, 556, 600, 635, 639, 641, 645, 647, 649, 650, 652, 670, 671, 673, 678, 679, 681, 684, 685, 703, 732, 771, 788, 799, 940, 943, 948, 985, 993, 1010, 1019, 1023, 1025, 1169, 1174, 1175, 1195, 1200, 1226, 1256, 1261, 1276, 1292, 1298, 1299, 1306, 1308, 1321, 1433, 1452, 1482, 1498, 1542, 1560, 1598, 1620, 1637, 1677, 1699, 1720, 1741, 1839, 1930, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2217, 2218, 2219, 2220, 2222, 2223, 2224, 2225, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2240, 2241, 2246, 2249, 2250, 2257, 2261, 2264, 2265, 2271, 2277, 2278, 2283, 2289, 2294, 2297, 2298, 2302, 2307], "110": [213, 359, 360, 587, 588, 788, 2184, 2185, 2186, 2188, 2191, 2193, 2195, 2197, 2199, 2200, 2201, 2204, 2207, 2208, 2209, 2210, 2211, 2218, 2220, 2222, 2223, 2230, 2232, 2235, 2246], "1100": [2195, 2210], "11000": [2185, 2220], "11002": 2228, "11007": 2229, "1101": 2210, "11010": 2228, "11014": 2228, "11016": 2228, "11017": 2228, "11018": 2228, "110189": 2207, "11019": 2289, "110210": 2207, "11033": 2229, "110336": [2185, 2191, 2197, 2199, 2202, 2204], "110336102891167": 2197, "1103361029": 2199, "110336e": 2204, "11034": 2228, "11038": 2238, "11039": 2231, "11041": 2228, "11052": 2265, "11070": 2228, "11071": 2228, "11072": 2228, "11073": 2228, "11074": 2228, "11077": 2228, "11080": 2229, "11082": 2231, "11084": 2228, "110856": 2219, "11086": 2228, "110877": 2191, "110891": 2215, "110895": 2207, "1109": 30, "11094": 2228, "110968": 2185, "11097": 2228, "111": [16, 17, 18, 19, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2204, 2207, 2208, 2209, 2210, 2211, 2212, 2218, 2230, 2232, 2235, 2246], "1110": 30, "11102": 2228, "111032": 2204, "1111": [2197, 2218], "111107": 2207, "11111": 2228, "111110": 2186, "11111111": 2231, "111128": 2207, "11115": 2228, "11121": 2228, "11128": 2231, "11129": 2228, "11131": 2228, "111310": 2204, "11133": 2228, "11135": 2228, "111358": 2217, "11142": 2228, "11149": 2238, "11150": 2229, "11153": [2228, 2229], "11157": 2228, "11159": 2229, "11163": 2229, "11169": 2232, "111737": 2207, "1118": [2185, 2191, 2194], "11180": 2228, "11181": 2229, "11185": 2228, "11188": 2249, "11192": 2230, "111926": 2207, "11193": 2230, "11198": 2228, "112": [27, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2204, 2208, 2209, 2210, 2211, 2218, 2220, 2230, 2232, 2235, 2246], "1120": [2185, 2191, 2194], "112016": 2257, "11205": 2228, "11206": 2229, "1121": [2185, 2191, 2194], "11215": 2229, "11221": [2238, 2249], "11227": 2283, "112273": 2207, "1123": [2185, 2191, 2194], "11230": 2229, "11232": 2228, "11234": 2229, "11235": 2229, "11238": 2271, "1124": [2185, 2191, 2194], "11245": 2229, "1125": [2185, 2191, 2194], "11256": 2235, "1125723": 2202, "1126": 2202, "11263": 2229, "11269": 2229, "11272": 2229, "11273": 2230, "11274": [2229, 2232], "112750": 2199, "11276": 2235, "11278": 2271, "11283": 2229, "11285": 2229, "11287": 2232, "112932": 15, "11295": 2229, "11296": 2241, "11299": 2231, "113": [2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2204, 2208, 2209, 2210, 2211, 2230, 2232, 2246], "11300": [176, 179, 754, 757, 1242, 1243], "11302": 2229, "11305": 2229, "113063": 2207, "11308": [2229, 2235], "11310": 2238, "11312": 2298, "11317": 2229, "11320": 2229, "11324": 2229, "11326": 2229, "11327": 2229, "113308": 2260, "11334": 2230, "113376": 2207, "11339": 2229, "1134": 2232, "11344": 2229, "11349": 2230, "11352": 2229, "11356": 2229, "11359": [2229, 2232], "1136": [2184, 2186, 2191], "11363": 2265, "113648": [15, 2184, 2185, 2186, 2191, 2197, 2199, 2202, 2204, 2210, 2214, 2215, 2216, 2218, 2219, 2235, 2241, 2264], "1136484096888855": 2197, "11365": 2246, "11370": 2230, "11372": 2229, "11374": 2229, "11376": 2229, "1138": 2192, "11386": [2230, 2241], "1139": 2192, "114": [268, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2204, 2207, 2208, 2209, 2210, 2211, 2220, 2230, 2232, 2256], "1140": 2192, "11402": 2229, "11405": 2229, "11406": 2230, "114060": 2207, "11408": 2229, "11411": 2229, "11412": 2234, "114192": 2207, "1142": 2199, "114285": 2186, "1143": 2199, "11431": 2229, "11433": 2229, "11435": 2230, "11438": 2229, "1144": 2199, "114434": 2207, "11444": 2235, "11447": 2230, "1145": 2199, "11450": 2229, "1146": 2199, "11465": [2277, 2278], "1147": 2202, "11471": 2238, "114722": 2197, "11473": 2231, "1147378": 2202, "11477": 2229, "1148": 2219, "11481": 2235, "11485": 2231, "11488": 2230, "114907": 2207, "11497": 2230, "11499": 2249, "115": [282, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2204, 2208, 2209, 2210, 2211, 2230, 2231, 2232, 2257], "11502": 2230, "11503": 2257, "11514": 2231, "11517": 2229, "11519": 2229, "11520": 2229, "11522": 2230, "11526": 2232, "11529": 2229, "11533": 2229, "11534": 2230, "11544": 2230, "115483": 2207, "11553": 2230, "11555": 2230, "11556": 2229, "11558": 2231, "11559": 2231, "1156": 2199, "11560": 2229, "11563": 2232, "11564": 2230, "115680": 2193, "1157": 2199, "115726": 2207, "1158": 2199, "115848": 2186, "11586": 2230, "11587": 2246, "11588": 2229, "115903": 2214, "11591": 2230, "11592": 2235, "11594": 2231, "11595": 2229, "11597": 2230, "11599": 2229, "116": [29, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2204, 2208, 2209, 2210, 2211, 2220, 2230, 2232], "1160": 2199, "11600": 2229, "116015": 2207, "116018": 2186, "11603": 2230, "1161": 2199, "11610": 2229, "11611": 2229, "11614": 2230, "11616": 2230, "11617": 2235, "11618": 2229, "11619": 2229, "1162": 2199, "11622": 2229, "11623": 2232, "11625": 2229, "11626": 2229, "1163": 2199, "11630": 2232, "11631": [2271, 2298], "11633": 2232, "11637": 2229, "11638": 2229, "1164": 2199, "11642": 2236, "116424": 2191, "11643": 2229, "11645": 2277, "1165": 2199, "11652": 2229, "116525": 2195, "11655": [2230, 2232], "1166": 2199, "116619": 2215, "116621": 2207, "116634": 2199, "11665": 2241, "1167": 2199, "11678": 2230, "11679": 2246, "1168": 2199, "11682": 2230, "1169": 2199, "11690": 2230, "11692": 2230, "11693": 2230, "11696": 2230, "11698": 2230, "11699": 2230, "117": [29, 268, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2204, 2208, 2209, 2210, 2211, 2221, 2222, 2230, 2232, 2241], "1170": 2199, "11704": [2241, 2271], "11708": 2230, "1171": 2199, "11711": 2230, "11713": 2230, "11718": 2230, "1172": 2199, "11729": 2230, "1173": 2199, "11732": 2230, "11733": 2246, "11736": 2246, "11738": 2230, "1174": 2199, "11741": 2230, "11742": 2231, "11745": 2235, "1175": 2199, "11755": 2230, "11758": 2231, "11759": 2230, "1176": 2199, "11761": 2230, "11763": 2230, "1177": 2199, "11773": 2232, "11776": 2230, "11778": 2230, "11783": 2230, "11787": [2294, 2298], "11788": 2199, "117887": 2195, "11790": 2230, "11792": 2246, "11794": 2230, "117949": 2214, "117967": 2216, "118": [268, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2204, 2208, 2209, 2210, 2211, 2220, 2228, 2230, 2232, 2242, 2249, 2265], "11804": 2230, "11805": 2230, "11806": 2199, "118076": 2186, "11808": 2230, "118091": 2207, "11818": 2230, "1182": [2185, 2197], "118275e": 2191, "1183": [2185, 2197], "11831": 2231, "11833": 2230, "11834": 2238, "11835": 2230, "11838": 2230, "1184": [2185, 2197], "118428": 2186, "11847": 2234, "118489": 2191, "1185": [2185, 2197], "11852": 2231, "118527": 2207, "11854": 2231, "11858": 2232, "11859": 2230, "1186": [2185, 2197], "11864": 2230, "118659": 2207, "118680": 2197, "118697": 2195, "1187": [2185, 2197], "11871": 2230, "118710": 2210, "11879": 2235, "11880": 2230, "11881": 2230, "118810": 28, "11885": 2230, "11886": 2232, "1189": [2185, 2197], "11897": 2235, "11898": 2235, "11899": 2230, "119": [268, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2204, 2208, 2209, 2210, 2211, 2230, 2232, 2265], "1190": [2185, 2197], "1191": [2185, 2197], "11915": [2230, 2235], "11916": 2199, "1192": [2184, 2186], "11920": 2232, "11920871129693428": 2210, "119209": [15, 16, 17, 18, 19, 2184, 2185, 2186, 2191, 2195, 2197, 2199, 2202, 2210, 2214, 2215, 2216, 2218, 2220, 2225, 2231, 2235, 2241, 2260], "11925": 2230, "11926": 2249, "119306": 2207, "11934": 2230, "11937": 2230, "11946": 2230, "11950": 2199, "11958": 2230, "11959": 2236, "11963": 2230, "119645": 2235, "11965": 2230, "11972": 2230, "11974": 2230, "11981": 2232, "11986": 2230, "11990": 2230, "11995": 2230, "11h": 2210, "12": [15, 17, 18, 19, 22, 24, 25, 26, 28, 29, 30, 31, 32, 69, 72, 73, 77, 78, 84, 88, 102, 107, 109, 111, 113, 129, 133, 134, 160, 162, 171, 173, 183, 187, 188, 189, 190, 193, 199, 202, 204, 206, 207, 208, 213, 215, 216, 217, 220, 221, 222, 244, 253, 259, 265, 275, 288, 292, 294, 296, 303, 308, 309, 313, 316, 318, 332, 333, 345, 362, 363, 420, 423, 509, 513, 514, 515, 516, 522, 524, 526, 530, 532, 535, 541, 557, 575, 586, 595, 600, 629, 635, 639, 644, 646, 652, 655, 660, 661, 666, 670, 673, 688, 689, 708, 738, 761, 763, 764, 765, 766, 768, 781, 782, 788, 799, 873, 886, 890, 893, 895, 923, 926, 940, 943, 948, 953, 976, 980, 987, 1017, 1075, 1154, 1158, 1162, 1164, 1169, 1189, 1192, 1195, 1205, 1219, 1221, 1226, 1250, 1253, 1256, 1267, 1274, 1276, 1290, 1292, 1336, 1344, 1392, 1431, 1433, 1452, 1482, 1487, 1497, 1498, 1560, 1578, 1598, 1620, 1637, 1657, 1677, 1699, 1720, 1758, 1793, 1815, 1839, 1876, 1894, 1912, 1930, 1964, 2018, 2127, 2145, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2218, 2219, 2220, 2221, 2222, 2223, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2240, 2241, 2246, 2249, 2257, 2261, 2264, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "120": [15, 78, 162, 273, 359, 360, 587, 588, 900, 930, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2204, 2208, 2209, 2210, 2211, 2220, 2230, 2232], "12000": [2185, 2220], "12004": 2265, "120055": 2228, "12011": [176, 179], "12014": 2230, "12017": 2230, "12019": 2230, "12021": 2231, "120248": 2185, "12027": [2230, 2235], "12031": 2230, "120358": 2191, "12037": 2230, "12038": 30, "12039": 2230, "12044": 2232, "12045": 2231, "12048": 2230, "12049": 2230, "12050": 2230, "12064": 2246, "12067": 2283, "12070": 2230, "12071": 2230, "120710": 2207, "12077": 2230, "12078": 2230, "120790": 2193, "12081": 2230, "12084291": [2199, 2294], "12086": 2232, "12089": 2230, "12096": 2230, "12098": 2230, "120990": 2207, "120m": 2222, "120px": 2207, "121": [273, 900, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2204, 2208, 2209, 2210, 2211, 2232], "12109": 2230, "12111": 2230, "12123": 2230, "12125": 2230, "12128": [176, 179], "12129": 2230, "121306": [2185, 2197, 2199, 2202, 2204], "1213062281": 2199, "121320": [1269, 1270, 1339], "12133": 2231, "12134": 2230, "12136": 2271, "1214": 2298, "12142": 2230, "12145": 2265, "12147": 2283, "1215": 2210, "121500": 2207, "121514": 2210, "12155": 2249, "12157": 2230, "1216": 2298, "12160": 2232, "12165": 2230, "121668": 2235, "121675": 2207, "12169": 2230, "1217": 2298, "12170": 2230, "12174": 2231, "12175": 2231, "1218": 2298, "12180": 2230, "12182": 2230, "12185": 2232, "12190": 2238, "121950": 2207, "12198": 2230, "121991": 2207, "122": [2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2204, 2207, 2208, 2209, 2210, 2211, 2220, 2232], "1220": [2193, 2298], "12202": 2230, "12203": 2231, "1221": 2298, "12211": 2231, "12213": 2265, "12216": 2232, "12217": 2230, "12219": 2231, "12221": 2230, "12223": 2235, "12224": 2232, "122273": 2235, "122297": 2210, "12232": 2230, "12237": 2230, "12238": 2231, "12242": 2246, "12244": 2230, "12258": 2232, "12259": 2232, "1226": 2217, "12290": 2230, "12292": 2230, "12299": 2230, "123": [3, 134, 825, 826, 833, 849, 853, 857, 861, 863, 868, 1017, 1403, 1404, 2166, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2204, 2207, 2208, 2209, 2210, 2211, 2214, 2218, 2225, 2228, 2229, 2232], "12300": 2230, "123000": 2199, "123000000000": 918, "12301": 2230, "12307": 2230, "123083": 2207, "12309": 2232, "123102": [2197, 2228], "123181": 2195, "123233": 2207, "12332": 2230, "12333": 2230, "12334": 2230, "12336": 2230, "1234": [2, 13, 91, 190, 192, 193, 253, 259, 766, 768, 886, 890, 1154, 1431, 1443, 1456, 1457, 1458, 2185, 2191, 2194, 2195, 2199, 2211, 2228, 2230, 2231, 2235], "123400": 2230, "1234018": 2199, "123414": 2207, "123436": 2197, "12344": 2230, "12345": [1443, 2199], "123456": [15, 1017, 2185, 2211], "123456789": 1017, "12348": 2230, "12352": 2230, "12358": 2230, "12359": 2231, "1236": [2185, 2191, 2194], "12363": 2231, "123692": 2235, "1237": [2185, 2191, 2194], "12373": [2230, 2231], "12380": 2283, "12386": 2230, "12388": 2232, "1239": [2185, 2191, 2194], "12392": 2238, "12396": 2241, "12397": 2235, "12399": 2232, "124": [2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2204, 2208, 2210, 2211, 2220, 2232], "1240": [2185, 2191, 2194], "12401": 2238, "12405": 2236, "12409": 2230, "12411": 2231, "124124": 2207, "12424": 2232, "12425": 2241, "12448": 2230, "124518": 2230, "12467": 2231, "12468": 2199, "12471": 2230, "12473": 2231, "12486": 2231, "124862": 2191, "12489": 2230, "12492": 2230, "12493": 2231, "12494": 2230, "125": [1186, 1247, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2204, 2208, 2210, 2211, 2225, 2227, 2232], "1250": [2193, 2246], "125000": [28, 2218], "12506": 2231, "1251": 2193, "12513": 2265, "125195": 2207, "1252": 2265, "12527": 2231, "12528585": [624, 1215], "12529": 2234, "12531": 2231, "12533": 2231, "12537": 2249, "12541": 2235, "12546": 2232, "12548": 2235, "12551": 2231, "12553": 2234, "12554": 2231, "12558": 2231, "12564": 2231, "12565": 2238, "12569": 2231, "12572": 2230, "12573": 2231, "12574": 2231, "12577": 2231, "125798": 28, "12585": 2289, "12588": 2235, "12591": [2231, 2238], "125929": 2207, "125934": 2199, "126": [2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2203, 2204, 2208, 2210, 2211, 2220, 2225, 2232, 2283], "12600": 2231, "12601": 2246, "12610": 2231, "12615": 2231, "12617": 2231, "12619": 2246, "12620": 2231, "126203": [15, 2191], "126205": 2235, "126219": 2207, "12622": 2231, "12623": 2231, "1262347200000000000": 2210, "126303": 2207, "12631": 2231, "12633": 2231, "12638": 2231, "12640": 2235, "12642": 2231, "12644": 2231, "12647": 2231, "12649": 2298, "12654": 2231, "12655": 2231, "12656": 2231, "12659": 2231, "126605": 15, "12662": 2235, "12665": 2235, "12669": 2231, "12677": 2241, "12678": 2231, "12679": 2283, "126818": 2197, "12684": 2231, "12687": 2231, "12688": 2235, "12695": 2231, "126970": [2224, 2228], "127": [2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2203, 2204, 2208, 2210, 2211, 2225, 2227, 2231, 2232, 2283], "12701": 2231, "12702": 2230, "127029": 2235, "12706": 2231, "12713": 2231, "1272": 2298, "12723": 2231, "12725": 2231, "12727": 2231, "1273": 2298, "12737": 2232, "12738": 2231, "1274": 2298, "12740": 2231, "12745": 2234, "12747": 2235, "12749": 2231, "1275": 2298, "12756": 2241, "12759": 2232, "1276": 2298, "12766": 2235, "12768": 2231, "12769": 2231, "1277": 2298, "12770": 2231, "12772": 2231, "12774": 2231, "12775": 2231, "12777": 2231, "1278": 2298, "12787": 2231, "12796": 2231, "12797": 2231, "128": [168, 1433, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2203, 2204, 2208, 2210, 2211, 2225, 2232, 2246, 2249, 2271, 2283], "12800": 2231, "128023": 2207, "12805": 2241, "12806": 2241, "12807": 2234, "12809": 2231, "12810": 2231, "12811": 2232, "12813": 2246, "12814": 2232, "12815": 2241, "12817": 2232, "128198": 2207, "12821": 2232, "12824": 2232, "128248": 2207, "128346": 2207, "12835": 2231, "12839": 2232, "1284": 2197, "128464": 2207, "1285": 2197, "12855": 2235, "1286": 2197, "12860": 2241, "12862": 2249, "12863": 2283, "12866": 2231, "12868": 2231, "1287": 2197, "12870": 2231, "128753": 2195, "12876": 2231, "1288": 2197, "12881": 2231, "12882": [2231, 2232, 2238], "12884": 2238, "12887": 2231, "12888": 2230, "1289": 2197, "128907": 2186, "12893": 2231, "12896": 2232, "128hr": 234, "129": [2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2203, 2208, 2210, 2211, 2214, 2225, 2232, 2283], "1290": 2197, "12902": 2231, "12903": 2231, "12907": 2232, "12908": 2231, "1291": 2197, "12910": 2231, "129113": 2207, "12912": 2231, "12918": 2271, "12920": 2232, "12922": 2232, "12924": 2232, "12925": 2231, "12926": 2231, "129327": 2207, "12933": 2232, "12934": 2231, "12941": 2232, "1295": 2263, "12952": 2231, "129537": 2207, "12958": 2231, "12961": 2231, "12962": 2238, "129622": 2207, "12963": 2235, "12966": 2231, "12969": 2231, "12971": 2231, "12972": 2231, "12979": 2231, "129803": 2207, "12981": 2231, "129820": 2235, "12983": 2231, "12988": 2231, "12995": 2232, "12997": 2294, "12h": [84, 595, 2210, 2231, 2239, 2240], "12pt": 2207, "12th": 2199, "13": [9, 15, 16, 17, 18, 19, 24, 25, 26, 28, 29, 30, 31, 32, 77, 108, 127, 133, 134, 157, 182, 187, 208, 213, 230, 268, 288, 341, 420, 522, 524, 530, 564, 566, 639, 703, 708, 732, 760, 763, 782, 788, 799, 804, 940, 1169, 1226, 1276, 1298, 1299, 1306, 1308, 1397, 1430, 1447, 1498, 1501, 1598, 1657, 1677, 2090, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2220, 2221, 2222, 2223, 2225, 2226, 2228, 2229, 2231, 2232, 2238, 2240, 2241, 2246, 2249, 2257, 2261, 2264, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "130": [15, 1443, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2203, 2204, 2208, 2210, 2211, 2225, 2232, 2283], "13000": [2185, 2220], "13000101": 1498, "13001": 2232, "13005": 2231, "13006": 2232, "13008": 2231, "13012": 2241, "130121": 2185, "130127": [15, 2185, 2197, 2199, 2202, 2215], "13019": 2231, "13022": [2246, 2271], "13032": 2246, "13036": 2231, "13037": 2231, "13043": 2232, "130441": 2199, "13045": 2231, "13046": 2235, "13048": 2232, "1305": [2197, 2217, 2231], "13051": 2246, "13052": 2231, "13054": 2289, "13057": 2232, "13059": 2231, "13067": 2232, "13068": 2277, "13069": 2232, "13071": 2232, "13078": 2232, "13082": 2232, "13083": 2238, "130932": 2207, "13097": 2235, "13098": 2232, "130980": 2195, "131": [2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2203, 2208, 2210, 2211, 2232, 2249, 2283], "1310": 2199, "13101": 2239, "13104": 2232, "13107": 2232, "13109": 2232, "13110": 2232, "13119": 2232, "131274": 2207, "13128": 2246, "13131": 2232, "131345": [2184, 2195, 2214], "13139": 2233, "13141": 2294, "131424": 2207, "13144": 2232, "13145": 2232, "13146": 2232, "13147": 2232, "13149": 2232, "131521": 2207, "13156": 2232, "13161": 2232, "131612": 2207, "13166": 2232, "13170": 2232, "131711": 2207, "13172": 2232, "13174": 2232, "131752": 2195, "13176": 2232, "13179": 2235, "1318": [16, 17, 18, 19, 2199, 2235], "13180": 2232, "1319": [16, 17, 18, 19, 2199, 2235], "13191": 2232, "13193": 30, "132": [2184, 2185, 2186, 2188, 2191, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2208, 2210, 2211, 2222, 2230, 2232, 2249, 2283], "1320": [16, 17, 18, 19, 2199, 2235], "13200": 2232, "132003": [15, 2185, 2197, 2199, 2202, 2215, 2257], "13200317033032932": 2197, "132009": 2207, "13202": 2234, "132023": 2199, "13204": 2232, "13205": 2232, "13209": [2232, 2235], "132090": 2235, "1321": [16, 17, 18, 19, 2199, 2235], "13212": 2232, "13213": 2232, "13218": 2235, "13219": 2232, "1322": [16, 17, 18, 19, 2199, 2235], "13221": 2232, "13222": 2232, "13223": 2246, "13224": 2238, "132259": 2207, "132290": 2197, "1323": [16, 17, 18, 19, 2199, 2235], "13231": 2232, "13234": 2232, "13235": 2232, "13236": 2238, "13238": 2241, "1324": [16, 17, 18, 19, 2199, 2203, 2212, 2235, 2298], "13247": 2235, "13249": 2232, "13253": 2246, "13254": 2277, "13257": 2265, "13258": 2238, "13259": 2232, "1326": 2302, "13261": 2232, "1327": 2302, "13274": 2232, "13277": 2235, "13279": 2238, "1328": 2302, "13285": 2232, "13287": 2249, "13288": 2232, "132885": [15, 2185, 2197], "1329": 2204, "13291": 2246, "13292": 2235, "13297": 2289, "13299": 2232, "133": [2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2208, 2210, 2211, 2232, 2235, 2249, 2283], "13303": 2235, "13304": 2232, "133049": 2204, "13306": 2232, "13314": 2232, "133155": 2230, "13318": 2265, "1332": [16, 17, 18, 19, 2199, 2235], "13320": 2232, "13321": 2232, "13323": 2241, "133239": 2199, "13324": 2232, "13327": 2232, "1333": [16, 17, 18, 19, 2199, 2235], "13333": 2232, "13334": 2232, "13336": 2232, "13341": 2234, "13347": 2232, "133480": 2207, "13349": 2232, "13352": 2232, "13354": 2232, "13358": 2232, "13360": [2232, 2241], "13361": 2232, "133683": 2186, "1337": [16, 17, 18, 19, 1443, 2199, 2235], "133712": 2191, "13373": [2232, 2241], "13374": 2238, "13378": 2289, "13379": 2283, "1338": [16, 17, 18, 19, 2199, 2235], "13381": 2232, "13382": 2232, "13383": 2232, "13386": 2241, "13389": 2232, "13393": 2239, "13395": 2232, "13398": 2232, "134": [2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2208, 2210, 2211, 2232, 2235, 2249, 2259, 2283], "13402": 2232, "13407": 2241, "13410": 2235, "134105": 2207, "13411": 2232, "13412": 2234, "134146": 15, "13419": 2232, "13430": 2232, "13431": 2235, "13432": 2232, "134328": 2207, "13434": 2235, "13438": 2232, "13443": 2246, "13445": 2232, "13451": 2232, "13453": 2235, "13454": 2232, "13459": 2232, "13461": 2232, "13468": 2232, "13473": 2249, "13475": 2277, "13480": 2249, "13483": 2283, "13484424": [624, 1215], "13486": 2246, "13490": 2236, "13492": 2236, "1349720105": 2210, "1349720105100": 2210, "1349720105200": 2210, "1349720105300": 2210, "1349720105400": 2210, "1349720105500": 2210, "1349806505": 2210, "1349892905": 2210, "1349979305": 2210, "135": [2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2202, 2208, 2210, 2211, 2232, 2235, 2249, 2253], "13500": 2232, "1350065705": 2210, "13503": 2249, "13509": 2232, "13511": 2232, "135110": 2186, "13514": 2232, "13522": 2232, "13524": 2232, "13535": 2232, "13536": 2232, "13538": 2232, "13542": 2232, "13544": 2232, "13549": 2232, "1356": [2184, 2186, 2191, 2199], "13563": [2235, 2241], "135632": [15, 16, 17, 18, 19, 2184, 2185, 2191, 2193, 2195, 2197, 2199, 2202, 2204, 2208, 2210, 2214, 2215, 2216, 2218, 2220, 2225, 2231, 2235, 2241, 2260], "1356323710171934": [2186, 2191], "13564": 2232, "13565": 2232, "1356998400": 2199, "1356998400000": 2199, "1356998400000000000": 2199, "1357084800000": 2199, "1357084800000000000": 2199, "1357171200000": 2199, "1357171200000000000": 2199, "1357257600000": 2199, "1357257600000000000": 2199, "135732": 2207, "1357344000000": 2199, "1357344000000000000": 2199, "13577": 2232, "1358": 2262, "13582": 2232, "13583": 2232, "13589": 2235, "13590": 2232, "13592": 2232, "13593": 2241, "13595": 2238, "13598": 2232, "13599": 2232, "136": [2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2208, 2210, 2211, 2232, 2235, 2249], "1360": [2199, 2203, 2212, 2298], "13601": 2265, "13602": 2235, "13603": 2232, "136056": 2207, "13607": 2232, "13611": [2232, 2241], "13613": 2232, "13615": 2232, "13618": 2232, "1362": 2202, "13623": 2232, "13624": 2232, "13626": 2232, "13627": 2232, "13628": 2265, "136282e": 2195, "13629": 2232, "136307": 2199, "13634": [2232, 2241], "136365": 2207, "136404": 2197, "13646": 2232, "136473": 2184, "13652": 2232, "13654": 2234, "13657": 2289, "13658": 2271, "1366": [16, 17, 18, 19, 2199, 2235], "136624": 2197, "13663": 2232, "13664": 2232, "13666": 2298, "13669": 2232, "1367": [16, 17, 18, 19, 22, 2199, 2235], "13670": 2232, "13671": 2232, "13672": 2232, "13677": 2232, "136794": 2186, "136795": 2220, "1368": [16, 17, 18, 19, 2199, 2235], "136849": 2199, "13687": 2232, "13691": 2277, "13692": 2232, "13695": 2232, "137": [2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2202, 2208, 2210, 2211, 2232, 2235, 2249], "13701": 2232, "13703": 2232, "13709": 2232, "137105": 2207, "13717": 2232, "1371819": [182, 760], "13724": 2232, "13727": 2232, "13731": 2232, "13735": 2241, "13737": 2232, "1374": 2185, "13743": 2232, "13746": 2232, "137462": 2199, "13747": 2234, "13749": 2232, "1375": 2185, "13750": 2232, "13754": 2233, "137570": 2186, "13763": 2232, "1377": 2185, "137748": 2220, "13775": 2232, "13776": 2241, "13778": 2232, "13781": 2232, "13783": 2246, "13784": 2232, "13787": 2232, "137893": 2207, "1379": 2185, "13790": 2235, "13792": 2232, "13793": 2232, "13797": 2232, "138": [2184, 2185, 2186, 2188, 2195, 2197, 2199, 2200, 2201, 2208, 2210, 2211, 2232], "1380": [2185, 2210], "13804": 2232, "1381": [2185, 2210], "13813": 2232, "138138": 2197, "13822": 2232, "13823": 2238, "13828": 2277, "1383": [16, 17, 18, 19, 2199, 2235], "13831": 2294, "13834": 2232, "1384": [16, 17, 18, 19, 2199, 2235], "13844": 2232, "13846": 2232, "13848": 2232, "13849": 2232, "13853": 2232, "13854": [2232, 2241], "13855": 2232, "13856": 2235, "13857": 2232, "13866": 2232, "13868": 2232, "138691": 2199, "1387": [2199, 2203, 2212, 2298], "13873": 2238, "13874": [2232, 2241], "13876": 2232, "13879": 2234, "13884": 2232, "13894": 2232, "13898": 2232, "139": [2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2203, 2208, 2210, 2211, 2212, 2232, 2298], "13900": 2232, "13902": 2232, "13905": 2241, "13907": 2232, "139168": 2197, "13917": 2232, "13918": 2238, "13923": 2232, "13926": 2232, "13930": 2232, "139348": 2210, "13936": 2234, "13937": 2235, "13940": 2232, "13941": 2232, "139583": 2199, "139606": 2186, "13965": 2235, "13966": 2235, "139683": 2235, "13971": 2238, "13972": 2232, "13977": 2232, "13980": 2232, "139804400157008": 2246, "139804622088560": 2246, "13981": 2232, "13985": 2232, "139853": 2207, "13988": 2232, "13990": 2232, "13994": 2232, "139976": 2186, "13999": 2232, "139999": 1372, "14": [3, 6, 15, 16, 17, 18, 19, 25, 26, 28, 29, 30, 31, 32, 133, 187, 190, 193, 197, 208, 213, 245, 268, 277, 345, 420, 632, 708, 718, 763, 766, 768, 782, 788, 799, 879, 903, 955, 956, 957, 958, 963, 964, 965, 966, 967, 968, 970, 973, 975, 976, 977, 978, 979, 980, 981, 992, 994, 995, 997, 999, 1009, 1013, 1014, 1018, 1023, 1025, 1195, 1256, 1292, 1336, 1433, 1437, 1438, 1439, 1598, 1657, 1677, 1815, 1876, 1894, 1912, 1964, 2018, 2054, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2222, 2223, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2240, 2241, 2242, 2246, 2249, 2257, 2261, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "140": [213, 788, 1433, 2184, 2185, 2186, 2188, 2195, 2197, 2199, 2200, 2201, 2203, 2208, 2210, 2211, 2212, 2231, 2232, 2298], "14000": [2185, 2220, 2232], "14001": 2238, "140069": 2229, "14007": 2241, "14012": 2232, "14013": 2241, "14015": 2235, "14021": 2232, "140249": 2207, "14039": 2232, "14041": 2232, "140528": 2207, "14058": 2232, "14065": 2232, "14066": 2232, "14068": [2232, 2233], "1408": [2197, 2231], "14086": 2232, "14088": 2232, "1409": [2185, 2197], "14093": 2283, "14094": [2232, 2246], "14095": 2232, "14096": 2241, "140983": 2207, "140min": 2210, "141": [2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2203, 2210, 2211, 2212, 2231, 2232, 2253, 2298], "1410": [2185, 2197], "14101": 2232, "14105": 2246, "1411": [2185, 2197], "14113": 2241, "141155": 2207, "141185": 15, "14119": 2265, "1412": [2185, 2197], "14125": 2235, "14127": 2232, "141295": 2197, "1413": [2185, 2197], "14130": 2249, "141361": 2216, "14145": 2238, "14146": [2232, 2298], "1415": 2257, "141523": 2207, "14154": 2235, "141547": 2207, "14155": 2232, "14156": 2242, "14167": 2246, "14171": 2232, "14173": 2232, "141809": 2214, "14187": 2246, "14189": 2235, "14190": 2232, "141915": 2207, "14194": 2241, "142": [2185, 2186, 2188, 2195, 2197, 2199, 2200, 2201, 2203, 2210, 2211, 2212, 2232, 2253, 2298], "1420043460": 2231, "14203": 2234, "14204": 2233, "14207": [2238, 2241], "14208": 2232, "14216": 2238, "14218": 2235, "142290": 2207, "14233": 2235, "14241": 2232, "142412": 2207, "142482": 2205, "14249": 2241, "14252": 2233, "14253": 2234, "14256": 2238, "14265": 2235, "14266": 2232, "142856": 2218, "1429": 2185, "14291": 2233, "142928": 2199, "14293": 2232, "14295": 2235, "143": [2185, 2186, 2188, 2195, 2197, 2199, 2200, 2201, 2203, 2210, 2211, 2212, 2232, 2298], "1430": 2185, "14302": 2232, "14308": 2232, "1431": 2185, "14313": 2238, "14315": 2241, "14316": 2232, "14320": 2235, "14322": 2234, "14323": 2233, "14326": 2235, "14327": 2233, "14334": 2233, "14336": 2235, "14338": 2233, "143428": 2199, "14350": 2241, "14353": 2241, "14354": 2233, "14355": 2241, "14357": 2233, "14359": 2233, "143608": 2185, "14362": 2234, "14364": 2233, "14369": 2233, "143704": [2184, 2195, 2214], "14372": 2235, "143767": 2230, "143778": 2230, "1438": 2199, "14380": 2233, "14381": 2233, "14391": 2233, "144": [586, 745, 2185, 2186, 2188, 2195, 2197, 2199, 2200, 2201, 2203, 2207, 2210, 2211, 2212, 2232, 2298], "1440": [2185, 2197], "14401": 2234, "14402": 2233, "14403": 2289, "144044": 2207, "14408": 2233, "14415": 2233, "14418": 2233, "144197": 2215, "1442": [2185, 2197], "144209": 2186, "14423": 2235, "14424": 2233, "1443": [2185, 2197], "14432": 2246, "14434": 2233, "14435": 2234, "14438": 2233, "14440": 2235, "14444": 2235, "1445": [2185, 2197], "14451": 2257, "144514": 2207, "14453": 2233, "14457": 2233, "14459": 2233, "1446": [2185, 2197], "14461": 2233, "144646": 2207, "14477": 2233, "14478": 2236, "14484": 2239, "14487": 2298, "14496": 2233, "145": [2185, 2186, 2188, 2193, 2195, 2197, 2199, 2200, 2201, 2202, 2210, 2211, 2232], "145023": 2207, "14515": 2234, "14522": 2235, "145224193": [926, 987, 2209, 2210], "145245": 2207, "145250": 2207, "14529711373305043": 2206, "1453": [2199, 2206], "145302": 2207, "145346": 2207, "145419": 2207, "14545": 2233, "14551": 2233, "14554": 2234, "14555": 2233, "14561": 2234, "145616": 2207, "14570": 2235, "145775": 2235, "14580": 2235, "14582": 2234, "145823": 2230, "14583": 2235, "146": [2185, 2186, 2188, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2210, 2211, 2212, 2227, 2232, 2253, 2298], "14615": 2246, "14617": 2235, "14618": 2234, "146194": 22, "14620": 2235, "146201": 2204, "14621": 2234, "146352": 2207, "14636": 2238, "14639053686158035780": 2165, "146402": 2230, "14641": 2235, "14645": 2246, "14647": 2235, "14652": 2234, "146585": 2207, "14671": 2236, "146731": 2210, "146766": 2191, "146791": 2186, "14681": 2234, "14682": 2234, "14684": 2234, "14685": 2234, "14686": 2246, "14687": 2234, "14689": 2234, "14696": 2238, "14699": 2235, "147": [2185, 2186, 2188, 2195, 2197, 2199, 2200, 2201, 2210, 2211, 2232], "1470": [16, 17, 18, 19, 2199, 2235], "14704": 2289, "14711": 2238, "14712": 2234, "14714": 2235, "1472": [16, 17, 18, 19, 2199, 2235], "14721": 2235, "1473": [183, 761], "14730": 2235, "147314": 28, "14734": 2234, "1474": [16, 17, 18, 19, 2199, 2235], "14753": 2235, "147541": 1300, "14757": 2235, "14763": 2249, "14774": [2241, 2246], "14776": 2234, "14779": 2235, "14781": 2241, "147824074": 1006, "14784": 2235, "147855": 2235, "14792": 2235, "147970": 2207, "14798": 2235, "148": [2185, 2186, 2188, 2195, 2197, 2199, 2200, 2201, 2202, 2210, 2211, 2232], "14800": 2235, "148032": 2199, "148084": 15, "148098": 2210, "14811": 2277, "14816": 2235, "1482": 2202, "14821": 2234, "1482168": 2202, "14822": 2234, "14826": 2235, "14827": 2235, "14831": 2235, "14844": 2234, "14848": 2235, "14854": 2235, "14855": 2235, "14859": 2235, "14865": 2289, "14866": 2235, "14872": 2234, "14874": 2235, "14878": 2235, "14881": 2235, "14882": 2235, "14883": 2235, "14885": 2249, "14887": 2235, "1489": 2197, "14894": 2234, "14898": 2235, "149": [2184, 2185, 2186, 2188, 2195, 2197, 2199, 2200, 2201, 2202, 2210, 2211, 2232], "1490": 2197, "14901": 2235, "1490195805": [1498, 2210], "1490195805433502912": [1498, 2210], "14908": 2235, "1491": 2197, "14910": 2235, "14915": 2235, "1492": 2197, "14922": 2235, "14928": 2235, "1493": 2197, "14930": 2234, "149318": 2207, "14934": 2235, "14937": 2235, "14938": 2235, "1494": 2212, "14940": 2235, "14941": 2235, "14942": 2241, "14946": 2235, "14947": 2235, "14948": 2249, "1495": 2212, "149503": 15, "14956": 2235, "149565": 2217, "1496": 2212, "14962": 2238, "14967": 2246, "14968": 2238, "1497": 2212, "14973": 2235, "149748": [15, 2185, 2191, 2197, 2199, 2202], "1497483186": 2199, "1498": 2212, "14982": 2235, "14983": 2235, "1499": 2212, "14992": 2235, "14998": 2235, "14t15": [955, 956, 957, 962, 970, 983, 990, 995, 997, 999, 1002, 1006, 1007, 1008, 1009, 1013, 1014], "15": [4, 15, 16, 17, 18, 19, 22, 25, 26, 29, 30, 31, 72, 73, 81, 88, 91, 108, 112, 116, 121, 127, 133, 137, 157, 186, 208, 213, 230, 258, 268, 271, 277, 278, 345, 586, 600, 696, 703, 708, 732, 762, 782, 788, 804, 889, 899, 903, 904, 953, 955, 956, 957, 958, 970, 973, 992, 995, 997, 999, 1005, 1008, 1009, 1013, 1014, 1018, 1103, 1147, 1157, 1170, 1171, 1173, 1176, 1180, 1185, 1188, 1195, 1197, 1198, 1202, 1206, 1214, 1227, 1228, 1233, 1239, 1245, 1246, 1249, 1256, 1258, 1263, 1265, 1268, 1272, 1273, 1274, 1275, 1277, 1278, 1279, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1321, 1334, 1458, 1485, 1498, 1500, 1506, 1524, 1542, 1560, 1578, 1598, 1657, 1677, 1758, 1839, 1876, 1894, 1912, 1964, 2018, 2036, 2054, 2090, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2225, 2226, 2227, 2228, 2230, 2231, 2232, 2235, 2238, 2240, 2243, 2246, 2249, 2257, 2261, 2264, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "150": [15, 111, 118, 132, 135, 159, 161, 175, 213, 233, 788, 2185, 2186, 2188, 2195, 2197, 2199, 2200, 2201, 2204, 2210, 2211, 2218], "1500": [2212, 2241, 2246], "15000": [2185, 2220], "15001": 2238, "150025": 2207, "150031": 2207, "150036": [2220, 2230], "15005": 2235, "15008": 2246, "1500923": [182, 760], "1501": 2212, "15015": 2235, "15019": 2246, "1502": 2212, "15021": 2235, "15022": 2235, "15023": 2246, "150294": 2184, "15030": 2235, "15045": 2238, "15047": 2307, "15048": 2235, "15055": 2235, "150572": 2260, "1506": 2202, "15062": 2235, "1506406": 2202, "15072": 2246, "15073": 2235, "15077": 2235, "15078": 2238, "15079": 2289, "1508": 2264, "15081": 2241, "150812": [102, 1158], "15086": [2246, 2249], "150862": 2186, "15095": 2283, "15096": 2235, "15098": 2235, "15099": [2235, 2246], "151": [2185, 2186, 2188, 2195, 2197, 2199, 2200, 2201, 2207, 2210, 2211, 2253], "15105": 2302, "15108": 2235, "15109": 2235, "15110": 2235, "15118": 2235, "1512": 2217, "15120": 2235, "15122": 2283, "15125": 2235, "15126": 2235, "15130": 2235, "15132": 2235, "1513393355": 953, "15135": 2235, "151357": 2207, "15136": 2235, "151368": 2207, "15138": 2246, "15140": 2235, "15143": 2235, "15146": 2283, "15155": 2235, "151596": 2199, "15160": 2235, "151678": 2186, "15169": 2239, "151732": 2207, "15183": 2241, "15184": 2241, "15187": 2235, "15193": 2235, "15197": 2235, "152": [745, 2184, 2185, 2186, 2188, 2195, 2197, 2199, 2200, 2201, 2210, 2211, 2265], "15204": 2246, "15206": 2238, "1521": 2199, "15213": 2235, "15214": 2238, "15217": 2241, "15224": 2235, "152244": 2186, "15230": 2238, "152321": 2207, "15237": 2235, "15240": 2235, "15245": 2235, "15251": 2238, "15257": 2235, "152587890625": 2298, "15262": 2235, "15265": 2235, "15269": 2238, "15270": 2235, "15272": 2289, "15277": 2235, "15289": 2235, "15296": 2241, "152963": 2207, "15297": 2235, "152996": 2207, "153": [2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2210, 2211, 2231], "15300": 2235, "153009": 2207, "15305": 2238, "15306": 2249, "15314": 2246, "153266": 2207, "15328": 2235, "153282": 2191, "15337": 2235, "15339": 2235, "15342": 2235, "15344": 2235, "15347": 2235, "15348": 2235, "15354": 2294, "153565": 2207, "15358": [2235, 2246], "15370": 2235, "15376": 2235, "15379": 2235, "1538": 2262, "15388": 2238, "15390": 2238, "153931": 2184, "154": [2185, 2186, 2188, 2195, 2197, 2199, 2201, 2207, 2210, 2211], "15400": 2236, "154018": 2199, "15403": 2235, "15404": 2235, "15414": 2235, "15420": 2235, "15421": 2235, "15424": 2235, "15426": 2235, "15428": 2235, "1543": 2232, "15431": 2235, "154310": 2219, "15434": 2235, "15435": 2241, "15440": 2235, "15444": 2235, "15446": 2235, "15447": 2235, "15457": 2246, "154593": 2219, "15463": 2235, "15470": 2289, "154701": [1203, 1335], "15473": 2235, "154730": 2197, "15475": 2246, "15481": 2249, "15483": 2235, "15486": 2246, "15487": 2235, "15488": 2235, "15492": 2235, "154947": 2207, "15495": 2238, "1549507744": 2199, "1549507744249032": 2197, "154951": [15, 2185, 2197, 2199, 2202], "154971": 22, "154975": 22, "15498": 2235, "155": [1447, 2185, 2186, 2188, 2195, 2197, 2199, 2200, 2201, 2207, 2210, 2211, 2232], "15501": 2246, "15503": 2235, "15504": 2235, "15506": 2246, "15507": 2238, "15516": 2235, "15520": 2235, "15522": 2246, "15524": 2235, "15530": 2235, "15534": 2235, "15536": 2235, "15537": 2246, "15538": 2246, "15541": 2235, "155421": 2207, "15543": 2238, "15549": 2239, "15552": 2249, "15553": 2265, "15561": 2235, "155623": 2207, "15563": 2241, "15578": 2235, "15582": 2235, "15584": 2265, "15585": 2298, "1559": 2262, "15593": 2236, "15594": 2235, "156": [2185, 2186, 2188, 2195, 2197, 2199, 2200, 2201, 2207, 2210, 2211], "15604": 2235, "15621": 2283, "15622": 2235, "156251": 2207, "156280": 2191, "15630": 2241, "156349": 2207, "15635": 2235, "15649": 2235, "1566": 2262, "15662": 2235, "156647": 2207, "15670": 2235, "15676": 2235, "15677": 2235, "156782": 2186, "156793": 2186, "15682": 2235, "15683": 2238, "15686": 2271, "15687": 2235, "1569": 2262, "15690": 2238, "15694": 2235, "15695": 2283, "15697": 2246, "157": [18, 2185, 2186, 2188, 2193, 2195, 2197, 2199, 2200, 2201, 2210, 2211], "15701": 2235, "15704": 2238, "15707": 2235, "1571": 2262, "15713": 2235, "15714": 2235, "15716": 2235, "157199": 2207, "15723": 2235, "15743": 2235, "15747": 2238, "1575": [2184, 2186, 2194], "15755": 2235, "157593": 2204, "1576": [2184, 2186, 2194], "15765": 2235, "15767": 2235, "1577": [1476, 2184, 2186, 2194, 2262], "15777": 2235, "15779": 2241, "157795": 2186, "1578": [2184, 2186, 2194], "15781": 2235, "15782": 2235, "15785": 2241, "15787": 2235, "157892": [15, 2185, 2186, 2191, 2197, 2199, 2202, 2215, 2216, 2218, 2219, 2235, 2241, 2264], "157898": 2207, "1579": [2184, 2186, 2191, 2194], "15793": 2238, "15797": 2235, "158": [2185, 2186, 2188, 2193, 2195, 2197, 2199, 2201, 2210, 2211, 2256], "1580": [2184, 2186, 2194], "15800": 2241, "158091": 15, "158131": 2186, "15819": 2236, "15822": 2235, "15828": 2235, "1583": 1776, "15830": 2235, "15832": [2246, 2298], "15835": 2235, "15838": 2238, "15839785061582574730": [1039, 2164], "1584": 2262, "1584199972": [973, 1002, 1018], "1584226800": 1012, "15855": 2235, "15863": 2235, "15864": 2235, "15869": 2235, "15871": 2238, "15884": 2246, "1589": 2206, "1589328886422277": 2206, "159": [2185, 2186, 2188, 2193, 2195, 2197, 2199, 2201, 2210, 2211, 2259], "1590": 2197, "15903": 2235, "15908": 2235, "1591": 2197, "15910": 2235, "15912": 2249, "15913": 2235, "15914": 2265, "1592": 2197, "159200": 2186, "159236": 28, "15925": 2235, "159284": 2207, "1593": 2197, "1594": 2197, "15940": [2235, 2246], "15941": 2235, "15943": 2238, "15944": 2238, "15949": 2235, "1595": 2197, "15953": 2236, "1596": 2197, "15962": 2235, "1596530": 2202, "15969": 2283, "1597": 2202, "15972": 2238, "1598": 2199, "15982": 2235, "159837": 2207, "15987": 2246, "1599": 2262, "15994": 2241, "15998": 2235, "15999": 2235, "15min": [1272, 1275, 1286, 1296, 2261], "15th": [2210, 2232], "16": [15, 17, 18, 19, 22, 25, 26, 27, 28, 29, 30, 31, 69, 100, 108, 109, 129, 146, 160, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 228, 242, 244, 275, 345, 440, 586, 720, 738, 817, 924, 953, 957, 985, 993, 997, 1010, 1019, 1156, 1162, 1189, 1219, 1250, 1298, 1299, 1306, 1308, 1336, 1497, 1498, 1578, 1598, 1657, 1677, 1839, 2090, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2222, 2223, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2239, 2240, 2241, 2246, 2249, 2257, 2261, 2264, 2265, 2271, 2277, 2278, 2283, 2289, 2294, 2298, 2302, 2307], "160": [617, 618, 2185, 2186, 2188, 2195, 2197, 2199, 2201, 2210, 2211], "16000": 2188, "16000248": 2199, "16000857": 2199, "16005": 2246, "16012": 2238, "16014": 2236, "16015": 2238, "160187": 2207, "16022": 2238, "16026": 2235, "160268": 2193, "16037": [2257, 2277], "16039": [2235, 2237], "16042": 2235, "16057": 2235, "16058": 2236, "16059": 2246, "16063": 2294, "16071": 2235, "16073": 2241, "16078": 2238, "160910": 2207, "160915": 2186, "16098": 2193, "161": [2185, 2186, 2188, 2195, 2197, 2199, 2201, 2210, 2211], "161007": 2207, "161099": 2193, "16111": 2235, "16112": 2238, "161137": 2235, "16120": 2235, "16122": 2238, "16123": 2235, "16146": 2235, "16149": 2241, "16156": 2238, "16157": [2235, 2246], "16163": 2246, "16164": 2235, "161657": 2195, "1617": [16, 17, 18, 19, 2199, 2203, 2235, 2298], "16179": 2236, "16180": 2236, "16189": 2246, "1619": [16, 17, 18, 19, 2199, 2203, 2235, 2298], "16199": 2237, "162": [2185, 2186, 2188, 2191, 2195, 2197, 2199, 2201, 2210, 2211, 2231, 2235], "1620": [16, 17, 18, 19, 2199, 2203, 2235, 2298], "16209": 2236, "1621": [2194, 2201, 2203, 2283, 2294, 2307], "16211": 2238, "162114": 2207, "16212": 2238, "16223": [2235, 2241], "16228": 2277, "162285": 2230, "162291": 2199, "1623": [2194, 2201, 2203, 2235, 2283, 2294, 2307], "16232": 2265, "16233": 2237, "1624": [2194, 2201, 2203, 2283, 2294, 2307], "1625": [2194, 2201, 2203, 2283, 2294, 2307], "16250": [2235, 2246], "16252": 2238, "16253": 2283, "1626": [2194, 2201, 2203, 2283, 2294, 2307], "16263": 2236, "1627": [2194, 2201, 2203, 2283, 2294, 2307], "16270": [2236, 2238], "162754": 2191, "16282": 2236, "16284": 2241, "16285": 2236, "16288": 2236, "16291": 2236, "162969": 2185, "163": [2185, 2186, 2188, 2195, 2197, 2199, 2201, 2210, 2211], "1630": 2263, "163008": 2186, "16301": 2238, "16302": 2236, "16306": 2236, "16316": 2249, "16319": 2236, "163228": 2219, "16323": 2236, "16326": 2241, "163274": 2207, "16338": 2238, "16342": 2238, "16344": 2249, "16345": 2289, "16346": 2236, "16353": 2241, "16357": 2241, "16359": 2238, "16361": 2236, "16378": 2236, "16382": 2236, "16394": 2236, "16395": 2236, "164": [2185, 2186, 2188, 2195, 2197, 2199, 2201, 2210, 2211], "16402": 2238, "16405": 2236, "16406": 2241, "16409": 2236, "16413": 2236, "16417": 2238, "16442": 2249, "16450": 2241, "164574": 2207, "16459": 2236, "16468": 2241, "16469": 2283, "16471": 2238, "16472": 2236, "16488": 2249, "16493": 2236, "16496": 2236, "165": [144, 2185, 2186, 2188, 2195, 2197, 2199, 2201, 2210, 2211], "16503": 2238, "1651": 2217, "16511": 2236, "16515": 2236, "16519": 2236, "16524": 2237, "165258": 2207, "1653": 2200, "16530": 2236, "165346": 2207, "16538": 2249, "1654": 2200, "16541": 2237, "1655": 2200, "16554": 2238, "16556": 2236, "165562": 2235, "16559": 2237, "1656": 2200, "16560": 2238, "165614": 2199, "165649": 2207, "1657": [2199, 2200, 2263], "16572": 2241, "1658": [2200, 2202], "16583": 2237, "1659": 2200, "165916": 2207, "165984": 2207, "166": [2185, 2186, 2188, 2195, 2197, 2199, 2201, 2210, 2211, 2257], "16603": 2241, "16604": 2235, "16605": 2241, "16607": 2249, "166078": 2199, "16608": 2237, "1661": 2200, "16614": 2238, "16615": 2246, "1662": 2200, "166221": 2185, "16624": 2238, "166242": 2207, "16627": 2237, "16637": 2237, "16639": 2238, "166413": 2207, "16645": 2241, "16646": 2277, "166480": 2195, "166526": 2204, "166571": 2191, "166574": 2228, "166599": 2184, "16672": 2241, "16675": 2237, "16676": 2302, "16679": 2246, "16680": 2237, "16685": 2249, "166914": 2186, "166966": 2207, "167": [2185, 2186, 2188, 2191, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2210, 2211], "16706": 2294, "16707": 2237, "167077": 2207, "167123": 2186, "16713": 2298, "16717": 2237, "16718": 2249, "16732": 2238, "16734": 2238, "16741": 2238, "16745": 2238, "16747": 2238, "16748": 2277, "167498": 2186, "167517": 2210, "167574": 2186, "16764": 2238, "16766": 2241, "16767": 2237, "1677": [987, 2210, 2233, 2250], "16770": 2238, "16771": 2249, "16773": 2238, "16774": 2238, "16777": 2237, "1678": [1433, 2220], "16780": 2237, "16781": 2237, "167818": 2210, "16785": 2249, "167850": 2207, "16789": 2237, "167895": 18, "1679": 2263, "16792": 2238, "16793": 2237, "167934": 2207, "16798": 2238, "168": [15, 2185, 2186, 2188, 2195, 2197, 2199, 2200, 2201, 2210, 2211, 2241], "1680": 2199, "16804": 2238, "16807": 2249, "16808": 2241, "16818": 2246, "16819": 2238, "16821": 2238, "16822": 2238, "16825": 2237, "1683": 2197, "16830": 2238, "16836": 2238, "168386": 2199, "16839": 2246, "1684": 2197, "16842": 2238, "1685": 2197, "16850": 2238, "16855": 2238, "16859": 2238, "1686": [2185, 2265], "1687": [2185, 2265], "16871": 2238, "168722": 2207, "168726": 2207, "168731": 2186, "16874": 2241, "16875": 2238, "16877": 2238, "1688": [2185, 2265], "16889": 2238, "1689": [2185, 2197, 2265], "168904": 2197, "16896": 2238, "169": [2185, 2186, 2188, 2195, 2197, 2199, 2200, 2201, 2210, 2211, 2283], "1690": [2185, 2197, 2265], "16900": 2238, "16905": 2238, "169060": 2207, "1690785": [1345, 1391, 1488, 1490, 2202], "16909": 2238, "1691": [2185, 2197, 2263, 2265], "169161": 2191, "169184": 2197, "16919": 2257, "1692": [2185, 2197, 2265], "16923": 2238, "16928": 2238, "1693": [2185, 2265], "16934": 2238, "1694": [2185, 2265], "169402": 2207, "169408": 2199, "16942": 2249, "16948": 2238, "169492": 29, "1695": [2185, 2265], "16953": 2238, "16955": 2265, "16957": 2238, "169663": 2218, "16970": 2249, "169706": 2207, "169729": 15, "169758": 2186, "16991": 2238, "169977": 2207, "169981": 2207, "17": [15, 16, 17, 18, 19, 25, 26, 29, 30, 31, 81, 121, 188, 189, 213, 230, 517, 696, 764, 765, 788, 804, 1200, 1261, 1321, 1498, 1598, 1677, 1776, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2215, 2216, 2217, 2218, 2219, 2220, 2222, 2223, 2225, 2226, 2227, 2230, 2231, 2232, 2235, 2238, 2240, 2241, 2246, 2249, 2261, 2264, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "170": [282, 2185, 2186, 2188, 2195, 2197, 2199, 2200, 2210, 2211, 2283], "1700": 1372, "17004": 2249, "17005": 2238, "17007": 2238, "170108": 2191, "17013": 2238, "17015": 2241, "17021": 2238, "17023": 2241, "170299": [2185, 2197, 2199, 2202, 2204, 2215, 2257], "1703": 2191, "17030": 30, "17033": 2241, "17036": [176, 179], "17038": 2271, "17041": 2294, "17048": 2238, "17053": 2277, "17054": 2246, "170549": 15, "17059": 2238, "1706": 2263, "17060": 2238, "17066": 2246, "170667": 2207, "17095": 2238, "17097": 2238, "170972": 2207, "17099": 2238, "171": [2185, 2186, 2188, 2195, 2197, 2199, 2200, 2210, 2211, 2283], "17105": 2241, "17108": 2238, "171092": 2199, "17116": 2238, "1712": [139, 140, 1174, 1175], "17125": 2238, "17126": 2298, "17128": 2246, "171292": 2207, "1713": 2197, "1714": 2197, "171465": 2235, "17148": 2238, "1715": 2197, "17151": 2238, "17154": 2277, "17157": 2246, "1716": 2197, "17160": 2241, "1717": 2197, "17173": 2249, "17176": [2238, 2241], "17178": 2238, "171850": 2218, "17187": 2238, "17192": 2249, "17193": 2238, "171937": 2207, "172": [2185, 2186, 2188, 2195, 2197, 2199, 2200, 2210, 2211, 2283], "17200": 2239, "17206": 2238, "17210": 2238, "17213": 2238, "17228": 2238, "1723": 2263, "17237": 2238, "172478": 2207, "17248": 2238, "172481": 2207, "17250": 2241, "17254": 2298, "17261": 2265, "172668": 2199, "17271": 2238, "17276": 2238, "17280": 2249, "172800": [683, 2209, 2298], "17284": 2241, "172860": 2228, "17294": 2265, "17295": [2238, 2265], "17296": 2238, "173": [15, 2185, 2186, 2188, 2195, 2197, 2199, 2200, 2210, 2211, 2283], "173006": 2207, "17301": 2241, "173016": 2207, "17302": 2238, "17304": 2265, "17312": 2241, "173166": 2207, "1732": [2184, 2186, 2210], "17320": 2241, "17321464905330858": 2184, "173215": [15, 16, 17, 18, 19, 2184, 2185, 2186, 2191, 2195, 2197, 2199, 2202, 2208, 2210, 2214, 2215, 2216, 2218, 2220, 2225, 2235, 2241, 2260], "17323": 2238, "17327": 2238, "17328": 2265, "17329": 2239, "17331": 2238, "173336": 2207, "17344": 2238, "17346": 2249, "17348": 2241, "1735": 2263, "17351": 2238, "17352": 2249, "17354": 2238, "173559": 2207, "173571": 2191, "173609": 2207, "173636": 2229, "17367": 2238, "17383": 2238, "1739": 2263, "17394": 2241, "17399": 2289, "174": [2185, 2186, 2188, 2195, 2197, 2199, 2200, 2210, 2211, 2235, 2259, 2283], "17400": 2238, "17404": 2238, "17407": 2238, "1741": [2197, 2202], "17410": 2298, "174126": 2195, "174151": 2241, "1742": 2197, "1743": 2197, "17437": 2241, "17438": 2238, "17440": 2271, "17442": 2238, "174444": 2207, "17449": 2241, "1745": 2197, "1746": 2197, "17464": 2241, "174651": 2207, "1747": 2197, "17471": 2238, "17474": 2238, "1748": 2263, "17493": 2249, "174950": 15, "17496": 2238, "175": [118, 132, 135, 159, 161, 175, 2185, 2186, 2188, 2195, 2197, 2199, 2200, 2203, 2210, 2211, 2283, 2298], "1750": 2246, "17504": 2238, "17508": 2238, "17509": 2238, "17513": 2238, "17525": 2238, "17527": 2238, "175291": 2207, "17530": 2238, "175326": 2207, "17534": 2246, "17537": 2238, "17558": 2241, "17569": 2265, "17570": 2238, "17574": 2238, "17575": 2238, "175829": 2229, "1759": 2199, "17594": 2241, "17596": 2238, "175988": 2207, "176": [2185, 2186, 2188, 2195, 2197, 2199, 2200, 2203, 2210, 2211, 2231, 2253, 2283], "1760": 2199, "17602": 2241, "17605": 2265, "17607": 2238, "1761": 2199, "17610": 2241, "17613": 2238, "17618": 2238, "1762": 2199, "17627": 2241, "1763": 2199, "17633": 2249, "17636": 2238, "1764": [2199, 2264], "17643": 2238, "176444": [15, 2185, 2191, 2197, 2199, 2202, 2204], "1764443426": 2199, "176452": 2207, "1765": 2199, "17656": 2265, "1766": 2199, "176896": 2207, "17690": 2241, "17691": 2249, "17697": 2246, "1769950": [182, 760], "177": [259, 890, 2185, 2186, 2188, 2195, 2197, 2199, 2200, 2203, 2210, 2211, 2283, 2298], "17704": 2238, "177045": 2186, "17710": 2238, "17717": 2241, "17722": 2241, "177310": 2207, "17738": 2238, "17739": 2265, "177398": 2184, "17742": 2249, "17744": 2249, "1775": 2, "17753": 2249, "17758": 2241, "1776": [195, 770, 2263], "17776": 2239, "17778": [2241, 2242], "17780": 2238, "17791": 2239, "17798": 2238, "178": [69, 109, 129, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 2185, 2186, 2188, 2195, 2197, 2199, 2200, 2203, 2210, 2211, 2212, 2283, 2298], "178035": 2207, "17812": 2249, "17813": 2241, "17820": 2249, "1783": 2263, "17830": 2241, "17832": 2246, "17833": 2238, "17836": 2238, "17839": 2246, "17842": [2238, 2249], "17845": 2241, "1785": 2263, "178504": 2204, "17855": 2239, "17858": [2199, 2294], "1787": 2257, "17871": 2238, "17876": 2241, "17877": 2249, "178774": 2207, "17884": 2238, "178875": 2186, "17892": 2241, "17896": 2241, "178987": 2207, "179": [69, 109, 129, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 2185, 2186, 2188, 2195, 2197, 2199, 2200, 2203, 2210, 2211, 2212, 2283, 2298], "17901": 2238, "17905": 2241, "17912": 2241, "17917": 2241, "17924": 2241, "179241": [182, 760], "179247": 2204, "17927": 2289, "17929": 2241, "17935": 2241, "179507": 2207, "17956": 2241, "17959": 2239, "1796": 2202, "17965": 2239, "17966": 2298, "179666": 2185, "17970": 2241, "179724": 2199, "179734": 2185, "17975": 2241, "17979": 2241, "179812": 2199, "17982": 2249, "17983": 2241, "1798606054": 2199, "179861": [2185, 2197, 2199, 2202], "17990": 2239, "17994": 2246, "179963": 2191, "17min": [213, 345, 788, 2210, 2271], "18": [0, 13, 15, 17, 18, 19, 22, 23, 25, 26, 29, 30, 31, 69, 72, 73, 109, 129, 171, 173, 195, 199, 204, 206, 213, 215, 216, 217, 219, 220, 221, 222, 230, 242, 244, 268, 271, 275, 345, 770, 788, 804, 817, 899, 1019, 1341, 1432, 1434, 1485, 1497, 1498, 1677, 1699, 1720, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2223, 2225, 2226, 2228, 2232, 2235, 2238, 2240, 2241, 2246, 2257, 2261, 2264, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "180": [69, 109, 129, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 272, 275, 1487, 2185, 2186, 2188, 2193, 2195, 2197, 2199, 2200, 2210, 2211, 2212, 2235, 2283], "180000": 168, "18000000000000": [1773, 1854, 1891, 1909, 1927, 1979, 2033, 2087], "18002": 2241, "18004": 2239, "18020": 2239, "18021": 2302, "18034": 2241, "180355": 2193, "18044": 2239, "18051": 2239, "18058": 2241, "18062": 2241, "180632": 2207, "18068": 2239, "18069": 2239, "18071": 2239, "18079": 2241, "1809": 2263, "18092": 2241, "18099": 2241, "181": [69, 109, 129, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 259, 275, 890, 2185, 2186, 2188, 2193, 2195, 2197, 2199, 2200, 2210, 2211, 2298], "18113": 2241, "18116": 2239, "181231": 2195, "18146": 2246, "181507": 2207, "18154": 2239, "18159": 2239, "18160": 2241, "18162": 2241, "18164": 2265, "18165": 2239, "18171": 2241, "18178": 2239, "1818": 2217, "18184": 2241, "18186": 2239, "18187": 2239, "181873": 2207, "18198": 2294, "182": [176, 179, 2185, 2186, 2188, 2195, 2197, 2199, 2200, 2210, 2211, 2298], "18203": 2239, "18213": 2241, "18216": 2239, "18217": [2241, 2265], "18218": 2241, "18221": 2241, "18222": 2265, "182230": 2257, "18226": 2241, "18231": 2241, "18236": 2239, "1824": [2210, 2263], "18242": 2241, "18243": [2241, 2265], "18249": 2241, "18258": 2265, "1826": 2210, "18262": [2246, 2249], "182635": 2207, "18271": 2246, "18273": 2246, "182879": 2186, "18291": 2283, "18293": 2241, "182937": [2185, 2191, 2197], "18295": 2241, "183": [2185, 2186, 2188, 2195, 2197, 2199, 2200, 2210, 2211, 2212], "18301": 2239, "18303": 2250, "18304": 2241, "183051": 2186, "183064": 2207, "18307": 2265, "18308": 2246, "18310": 2241, "18314": [2241, 2265], "18319": 2241, "18321": 2271, "18324": 2241, "18326": 2241, "18330": 2241, "18334": 2239, "18338": 2246, "18339": 2239, "1834": 2263, "18359": 2241, "183593": 2191, "18366": 2249, "18368": 2239, "1837": 2210, "18370": 2241, "18372": 2239, "183798": [2199, 2207], "18386": 2241, "183865": 2207, "18390": 2239, "183951": 2191, "18398": 2241, "184": [28, 2185, 2186, 2188, 2195, 2197, 2199, 2200, 2210, 2211, 2212], "18400": 2241, "184083": 2207, "1841": [2186, 2227], "18413": 2239, "18414": 2283, "184161": 2205, "18417": 2241, "18421": 2241, "184241": 2199, "1843": 2263, "18430": 2239, "18431": 2239, "18432": 2239, "18434": 2241, "18439": 2239, "18446744073709551615": [1499, 2246], "18447": 2241, "1845": 2210, "18450": 2239, "18455": 2241, "18458": [2241, 2265], "18459": 2241, "184594": 2210, "18461": 2241, "184622": 2207, "1847": [2202, 2210], "1847350": 2202, "18475": 2241, "18477": 2265, "18478": 2241, "1848": 2220, "18480": 2241, "18482": 2241, "18485": 2241, "18489": 2241, "18493": 2239, "185": [134, 709, 2185, 2186, 2188, 2195, 2197, 2199, 2210, 2211, 2212], "18501": 2241, "18502": 2249, "185043": 2195, "18505": 2241, "18509": 2241, "18510": 2241, "18515": 2241, "18519": 2241, "18520": 2241, "18521": 2241, "18523": 2241, "18529": [2241, 2265], "185290": 2207, "18531": [2277, 2298], "18535": 2241, "185352": 2216, "18537": 2241, "18538": 2241, "1854": [2197, 2231], "185429": [2184, 2195], "18562": 2241, "18570": 2241, "18572": 2241, "18573": 2241, "185760": 2197, "18577": [2241, 2265], "18578": 2241, "18580": 2241, "18581": 2239, "18582": 2241, "18584": 2241, "18587": 2241, "18589": 2241, "185911": 2207, "18593": 2241, "18595": 2241, "186": [2185, 2186, 2188, 2195, 2197, 2199, 2210, 2211, 2212], "18600": 2241, "18601": 2241, "18610": 2239, "18613": 2241, "186235": 2186, "18627": [2241, 2265], "18630": 2241, "18634": 2271, "186340": 2210, "1864": 150, "186425": 2204, "186494": 2235, "186551": 2207, "18657": 2241, "18664": 2246, "186646": 2186, "18665": 2241, "18667": 2241, "18668": 2241, "18669": 2241, "186697": 2207, "18671": 2241, "18672": 2241, "186735": 2207, "186786": 2229, "18686": 2241, "186860": 2199, "18699": 2241, "187": [16, 17, 18, 19, 2185, 2186, 2188, 2195, 2197, 2199, 2207, 2210, 2211, 2212, 2231, 2235, 2253], "1870": 2232, "18702": 2302, "18705": [2289, 2298], "1871": 2263, "18713": 2241, "187184": 2207, "18720": 2265, "18723": 2241, "187285": 2191, "18735": 2241, "18742": 2246, "18755": 2265, "18756": 2241, "187594": 2207, "187678": [15, 2185, 2197, 2199, 2202, 2215], "18773": 2241, "18775": 2241, "187785": 2199, "1878": [16, 17, 18, 19, 2235], "18785": 2246, "18789": 2241, "1879": [16, 17, 18, 19, 2235], "18790": 2241, "18792": 2246, "187958": 2186, "18798": 2241, "187982": 2207, "188": [16, 17, 18, 19, 2185, 2186, 2188, 2193, 2195, 2197, 2199, 2210, 2211, 2231, 2235, 2253], "1880": [16, 17, 18, 19, 2235], "18800": [2241, 2265], "18801": 2241, "188055": 2207, "18808": 2241, "1881": [16, 17, 18, 19, 2235], "18812": 2265, "18817": 2241, "18818": 2241, "18819": 2241, "1882": [16, 17, 18, 19, 2235], "188295": 2207, "1883": [16, 17, 18, 19, 2235], "18836": [2241, 2265], "1884": [16, 17, 18, 19, 2235], "18842": 2241, "188449": 2186, "18846": 2241, "18849": 2241, "1885": [16, 17, 18, 19, 2235], "18850": 2241, "18853": 2277, "18854": 2241, "1886": [16, 17, 18, 19, 2199, 2235], "18862": 2241, "18864": 2241, "1887": [16, 17, 18, 19, 2199, 2235], "18872": 2241, "18874": 2246, "18878": 2265, "1888": [16, 17, 18, 19, 2199, 2235], "188821": 2186, "18885": 2246, "1889": [16, 17, 18, 19, 2199, 2235], "188908": 28, "188928": 2185, "18898": 2241, "189": [16, 17, 18, 19, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2210, 2211, 2235, 2256], "1890": [16, 17, 18, 19, 2235], "18901": 2241, "18902": 2265, "189042": 2193, "1891": [16, 17, 18, 19, 2235], "18912": 2241, "18914": 2241, "189189": 2222, "18919": 2241, "1892": 2218, "18930": 2302, "18941": 2241, "18943": 2241, "189437": 2207, "18946": 2246, "18948": 2241, "189480": 2207, "1895": [2199, 2203, 2298], "18951": 2241, "18958": 2241, "189657": 2207, "189676": 2207, "1897": [2199, 2203, 2294, 2298], "18973": 2241, "1898": [2199, 2203, 2298], "18980": 2241, "1899": [2199, 2203, 2298], "189952": 2199, "189964": 2207, "18khz": 2199, "19": [15, 17, 18, 19, 22, 25, 26, 27, 28, 29, 30, 31, 32, 139, 140, 213, 345, 788, 953, 1174, 1175, 1274, 1433, 1598, 1657, 1677, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2222, 2223, 2225, 2226, 2228, 2230, 2231, 2235, 2238, 2241, 2246, 2249, 2264, 2265, 2271, 2277, 2283, 2289, 2298, 2302], "190": [2185, 2186, 2188, 2195, 2197, 2199, 2210, 2211, 2249], "1900": [195, 770, 2199, 2203, 2298], "19003": 2241, "19012": 2241, "19016": 2241, "19017": 2241, "19027": 2241, "19029": 2243, "1903": 2218, "19030": 2241, "19032": 2241, "19034": 2241, "190370": 2207, "19038": 2241, "19040": 2241, "19042": 2241, "19043": 2241, "19056": [2246, 2277], "19057": 2241, "190649": 2197, "190667": 2204, "190690": 2207, "19077": 2241, "1908": [2203, 2298], "190804": 2197, "19086": 2241, "19087": 2246, "1909": [2199, 2203, 2298], "190912": 2257, "190913": 2207, "19096": 2241, "190976": [2220, 2228, 2230], "191": [2185, 2186, 2188, 2195, 2197, 2199, 2210, 2211], "1910": [2203, 2298], "19101": 2241, "19107": 2241, "1911": [2203, 2298], "191120": 2186, "1912": [2203, 2298], "19124": 2241, "19125": 2241, "1913": [2193, 2203, 2298], "19132": 2265, "19134": 2241, "191417": [102, 1158], "19142": 2241, "19147": 2241, "1915": 2263, "191519": 2230, "19157": 2241, "19158": 2241, "1916": 2199, "19163": 2241, "19165": 2241, "1917": 2199, "19176": 2241, "1918": 2199, "19186": 2241, "1919": 2199, "191943": 2257, "19197": 2241, "192": [1302, 2185, 2186, 2188, 2195, 2197, 2199, 2210, 2211, 2241], "1920": 2199, "19200": 2241, "19206": 2241, "1921": 2199, "19214": 2246, "1922": 2199, "192202": 2199, "19223": 2241, "19227": 2241, "1923": 2199, "192319": 2197, "19239": 2249, "1924": 2199, "19242": 2241, "192451": 2214, "19248": 2265, "1925": 2199, "192548": [983, 1002, 1009], "192548651": [956, 957, 962, 970, 983, 990, 995, 997, 999, 1007, 1008, 1013, 1014], "192549": 957, "1926": [2199, 2294], "19262": 2241, "19263": [2241, 2265], "19265": 2265, "19269": 2265, "1927": 2199, "19274": 2241, "19276": 2241, "19283": 2241, "19289": 2241, "192944": 2207, "19296": 2265, "193": [15, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2210, 2211], "193000": 997, "19301": 2241, "19303": 2241, "19320": 2243, "19322": 2241, "19329": 2241, "19333": 2241, "19342": 2241, "193421": 2230, "19347": 2241, "193477": 2186, "19348": 2241, "1935": 2185, "193545": 2184, "193555": [2184, 2195, 2214], "1936": 2264, "19362": 2241, "19365": 2241, "19368": 2241, "19369": 2246, "19370": 2246, "19374": 2241, "19375": 2246, "1937894": [176, 179], "19382": 2241, "19384": 2241, "19387": 2249, "1939": [148, 149, 177, 178, 725, 726, 755, 756], "19398": 2246, "194": [2185, 2186, 2188, 2195, 2197, 2199, 2210, 2211, 2255], "1940": [114, 148, 149, 177, 178, 402, 725, 726, 755, 756], "19403": 2241, "19417": 2241, "19420": 2246, "19427": 2241, "19434": 2265, "194472": 2207, "194489": 2199, "19453": 2246, "19454": 2246, "19458": 2241, "19474": 2241, "194757": 2199, "19478": 2241, "194889": 2197, "194921": 2191, "19497": 2241, "195": [2185, 2186, 2188, 2195, 2197, 2199, 2210, 2211], "19506": 2246, "1951": 2289, "19521": 2241, "19522": 2241, "195246": 2197, "19526": 2241, "19538": 2241, "19543": 2294, "19551": 2241, "195524": 2235, "19556": 2277, "195563": 2235, "19565": 2241, "19566": 2241, "19577": 2246, "19582": 2241, "19589": 2246, "19595": 2246, "196": [2185, 2186, 2188, 2191, 2194, 2195, 2197, 2199, 2210, 2211], "1960": [1498, 2210, 2235], "19602": 2271, "19603": 2241, "196087": 2220, "19612": 2241, "196155": 2207, "19617": 2249, "196224": 2204, "19624": 2241, "196247": 2207, "19629": 2246, "19632": 2241, "196326e": 2191, "196342": 2191, "19643": [2241, 2250], "19646": 2241, "196478": 2207, "196569": 2207, "196591": 2207, "19671": 2241, "19682": 2241, "19686": 2241, "196903": 2204, "19699": 2241, "197": [22, 2185, 2186, 2188, 2195, 2197, 2199, 2210, 2211], "1970": [213, 345, 788, 1498, 2166, 2199, 2201, 2204, 2210, 2215, 2218, 2232, 2235, 2238, 2271], "19700": 2246, "197035": 2210, "19708": 2302, "19711": 2265, "197138": 2207, "19714": 2241, "19715": 2246, "19721": 2241, "19726": 2241, "19727": 2241, "19728": 2271, "197330": 2207, "197378": 15, "19738": 2241, "19744": 2241, "19751": 2265, "19761": 2241, "19764": 2241, "19768": 2241, "19769": 2241, "1977": 2199, "197720": 2204, "197727": 2207, "197749": 2210, "19776": 2242, "19788": 2242, "19789": 2241, "198": [2185, 2186, 2188, 2195, 2197, 2199, 2210, 2211, 2231, 2249], "1980": [182, 760, 2166, 2204, 2218], "198053": 2219, "19806": 2241, "19810": 2241, "19819": 2241, "19820": 2241, "19822": 2241, "19824": 2241, "19827": 2277, "19834": 2241, "198418": 2207, "19843": 2246, "198443": 2207, "198465": 2207, "19847": 2241, "19853": 2241, "19856": 2241, "19860": 2246, "19861": 2246, "198677": 2214, "19872": 2241, "19873": 2241, "198768": 2193, "19884": 2241, "19891": 2246, "19895": 2241, "199": [2185, 2186, 2188, 2195, 2197, 2199, 2210, 2211], "1990": [195, 770, 2210], "19900": 2241, "19900315": 2230, "19909": 2241, "1990q1": 2210, "1991": [2210, 2249], "19910905": 2249, "19917": 2271, "19920": 2241, "19935": 2241, "199379": 2207, "19939": 2241, "1994": 2246, "19944": 2246, "19954": 2246, "19956": 2277, "199585": 2207, "19959": 2246, "1996": 2214, "199604": 2207, "19966": 2271, "199687": 2207, "1997": [195, 770], "19970": 2243, "199759e": 2204, "19976": 2243, "19977": 2246, "19978": 2246, "199790": 2207, "1998": 341, "19980": 2265, "19981": 2241, "1999": [341, 362, 575, 893, 995, 1192, 1253, 2186, 2195, 2199, 2210, 2228, 2246], "19990127": 2199, "19992": 2245, "19995": 2251, "19998": 2289, "1_000_000": 2193, "1_2": 2199, "1_3": 2199, "1_item": [71, 580], "1d": [34, 99, 100, 280, 540, 573, 622, 682, 779, 1059, 1155, 1156, 1213, 1395, 1397, 1398, 1403, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1418, 1430, 1467, 2163, 2164, 2185, 2186, 2191, 2195, 2197, 2205, 2212, 2218, 2231, 2246, 2247, 2283, 2285, 2289, 2307], "1d10u": 2210, "1d1h": 1502, "1d20min": [88, 600], "1dai": 2186, "1e": [1489, 1493, 1494, 1495, 1496, 2220, 2283], "1e3": [1489, 2206], "1e6": [1489, 2277], "1e9": [938, 2204], "1em": 1421, "1f": [259, 890, 1403, 1406, 1415, 2271], "1gb": 1487, "1h": [278, 331, 686, 904, 1118, 1144, 1286, 1296, 2209, 2241, 2294], "1h30min": [957, 970, 997, 2261], "1j": [68, 577, 1083, 1084, 1118], "1kb": 2194, "1m": [2216, 2275], "1me": [127, 703, 2195], "1min": [934, 2205, 2210, 2271], "1pt": 2207, "1px": [1348, 1400, 2207], "1st": [541, 1202, 1470, 2108, 2199, 2210, 2223, 2225, 2232], "1stuff": 2201, "1ty": 2201, "1u": [2209, 2222], "1w": 345, "1xn": 2217, "2": [2, 4, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 39, 42, 43, 44, 46, 50, 54, 56, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 116, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 134, 136, 137, 138, 139, 140, 141, 143, 144, 145, 146, 147, 148, 149, 152, 153, 154, 155, 156, 157, 158, 160, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 191, 194, 195, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 209, 210, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 252, 253, 254, 255, 256, 257, 258, 259, 261, 262, 263, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 278, 279, 280, 281, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 317, 318, 319, 323, 324, 325, 326, 327, 328, 329, 331, 332, 333, 337, 339, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 364, 366, 367, 370, 372, 375, 376, 377, 378, 379, 380, 385, 386, 387, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 401, 402, 404, 405, 406, 407, 408, 409, 411, 412, 413, 414, 415, 416, 419, 420, 421, 422, 424, 427, 429, 430, 431, 432, 433, 434, 435, 436, 437, 440, 441, 442, 443, 444, 445, 446, 449, 450, 451, 452, 455, 456, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 473, 475, 476, 477, 478, 482, 483, 484, 485, 486, 487, 488, 489, 490, 492, 493, 494, 496, 498, 499, 500, 501, 502, 503, 509, 513, 515, 517, 519, 528, 532, 535, 540, 547, 548, 549, 551, 557, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 609, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 625, 626, 627, 628, 629, 630, 632, 633, 634, 635, 636, 637, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 654, 655, 656, 657, 658, 659, 660, 661, 663, 664, 665, 666, 667, 668, 669, 671, 673, 674, 675, 678, 679, 680, 681, 682, 683, 684, 686, 688, 689, 690, 691, 692, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 707, 709, 710, 711, 712, 713, 714, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 746, 748, 750, 751, 752, 755, 756, 758, 759, 760, 761, 762, 763, 764, 765, 767, 769, 770, 772, 774, 775, 776, 777, 778, 779, 783, 784, 785, 786, 787, 788, 789, 793, 794, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 811, 812, 814, 815, 816, 817, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 872, 874, 875, 876, 877, 879, 880, 881, 882, 883, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 902, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 916, 918, 920, 927, 930, 938, 939, 940, 941, 942, 943, 945, 946, 947, 948, 949, 950, 951, 952, 1027, 1028, 1029, 1030, 1032, 1033, 1034, 1035, 1036, 1037, 1038, 1039, 1040, 1041, 1042, 1043, 1044, 1045, 1046, 1047, 1048, 1049, 1050, 1051, 1052, 1053, 1054, 1055, 1056, 1057, 1058, 1059, 1060, 1061, 1062, 1063, 1065, 1066, 1067, 1069, 1071, 1072, 1073, 1074, 1075, 1076, 1077, 1078, 1079, 1081, 1082, 1084, 1085, 1086, 1087, 1088, 1089, 1091, 1093, 1095, 1097, 1099, 1100, 1101, 1102, 1104, 1105, 1106, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1117, 1118, 1121, 1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1213, 1214, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1347, 1349, 1350, 1352, 1355, 1358, 1359, 1360, 1362, 1367, 1368, 1369, 1374, 1375, 1377, 1380, 1381, 1382, 1384, 1385, 1386, 1387, 1388, 1389, 1390, 1391, 1393, 1394, 1395, 1396, 1397, 1398, 1399, 1400, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1419, 1422, 1423, 1424, 1430, 1431, 1432, 1433, 1434, 1435, 1436, 1437, 1438, 1439, 1440, 1441, 1442, 1443, 1444, 1445, 1446, 1447, 1448, 1449, 1450, 1453, 1454, 1455, 1458, 1459, 1463, 1464, 1465, 1466, 1467, 1468, 1469, 1470, 1471, 1472, 1473, 1475, 1476, 1477, 1478, 1479, 1481, 1482, 1483, 1484, 1486, 1487, 1488, 1489, 1490, 1491, 1493, 1494, 1495, 1496, 1497, 1498, 1499, 1500, 1502, 1506, 1508, 1509, 1524, 1526, 1527, 1542, 1544, 1545, 1562, 1563, 1581, 1583, 1602, 1604, 1622, 1623, 1639, 1640, 1660, 1662, 1681, 1683, 1702, 1704, 1723, 1725, 1741, 1743, 1744, 1761, 1762, 1778, 1779, 1793, 1795, 1798, 1815, 1817, 1820, 1842, 1843, 1857, 1859, 1860, 1879, 1880, 1897, 1898, 1915, 1916, 1932, 1933, 1949, 1950, 1967, 1968, 1982, 1984, 1985, 2000, 2002, 2003, 2021, 2022, 2039, 2040, 2057, 2058, 2075, 2076, 2092, 2093, 2108, 2110, 2111, 2127, 2129, 2130, 2145, 2147, 2148, 2163, 2164, 2165, 2166, 2184, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2196, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2225, 2226, 2228, 2229, 2230, 2231, 2233, 2235, 2237, 2238, 2239, 2240, 2241, 2242, 2245, 2246, 2247, 2249, 2257, 2260, 2261, 2263, 2264, 2265, 2271, 2289, 2294, 2295, 2297], "20": [2, 3, 10, 15, 17, 18, 19, 25, 26, 28, 29, 30, 31, 68, 74, 80, 83, 85, 88, 97, 100, 102, 108, 111, 119, 134, 138, 139, 140, 142, 160, 162, 187, 188, 189, 190, 192, 193, 195, 230, 234, 278, 302, 331, 345, 577, 583, 586, 592, 594, 596, 600, 620, 648, 686, 695, 709, 714, 738, 763, 764, 765, 766, 768, 770, 804, 904, 942, 944, 1069, 1071, 1072, 1156, 1158, 1174, 1175, 1259, 1264, 1345, 1387, 1391, 1479, 1488, 1490, 1501, 1657, 2090, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2222, 2223, 2225, 2226, 2228, 2230, 2231, 2232, 2238, 2240, 2241, 2246, 2249, 2257, 2261, 2264, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "200": [15, 97, 111, 118, 132, 135, 141, 142, 159, 161, 175, 207, 345, 617, 618, 620, 633, 717, 781, 1280, 1433, 1455, 2185, 2186, 2188, 2195, 2197, 2199, 2200, 2201, 2210, 2211, 2220, 2230, 2231, 2235, 2241, 2253], "2000": [10, 79, 107, 141, 183, 213, 261, 290, 299, 311, 312, 313, 315, 319, 326, 333, 345, 420, 540, 575, 591, 629, 637, 642, 654, 663, 665, 666, 668, 674, 680, 689, 717, 761, 788, 799, 893, 969, 1118, 1164, 1169, 1192, 1221, 1226, 1253, 1276, 1437, 1438, 1439, 1462, 2184, 2186, 2188, 2195, 2197, 2199, 2205, 2210, 2211, 2214, 2215, 2218, 2219, 2225, 2228, 2231, 2235, 2238, 2241, 2246, 2261, 2265, 2271, 2298], "20000": [2188, 2193, 2218], "200000": [1309, 1326, 2201, 2210, 2218], "200001": 1497, "20000101": 2199, "20000102": 2214, "20000103": 2214, "20002": 2241, "20003": 2241, "2000q1": 540, "2000q4": 2210, "2001": [264, 310, 321, 333, 532, 689, 945, 2186, 2195, 2199, 2210, 2216, 2218, 2219, 2241, 2246, 2294], "20010101": 2219, "20010102": [2186, 2199, 2215, 2216], "20010103": 2216, "20010104": 2216, "20010105": 2216, "2002": [264, 333, 540, 689, 2195, 2199, 2210], "20020101": 2199, "200252": 2207, "20027": 2241, "2002q3": 540, "2003": [195, 264, 770, 2199], "20030": 2241, "200308": 2207, "2004": [107, 629, 1164, 1221, 2219], "20040": 2241, "20040601": 2219, "20049": 2246, "2005": [532, 1345, 1391, 1488, 1490, 1501, 2199, 2202, 2210], "200519": 2207, "20056": 2241, "2006": [107, 532, 629, 1164, 1221, 2191], "2007": [1444, 1506, 1524, 1815, 1982, 2000, 2191, 2197, 2199, 2231, 2258, 2265, 2277, 2283], "2008": [34, 1444, 2210], "20082": 2241, "200832": 2205, "20084": 2249, "20088": 2246, "2009": [195, 207, 662, 770, 781, 2199, 2210, 2228], "20090101": 2199, "20090102": 2199, "20090103": 2199, "200px": 2207, "201": [2185, 2186, 2188, 2193, 2195, 2197, 2199, 2210, 2211, 2212], "2010": [107, 202, 207, 541, 629, 662, 781, 1164, 1221, 1482, 1498, 2166, 2199, 2210, 2230, 2271], "20100101": 2210, "201052": 2186, "2011": [34, 202, 423, 541, 1367, 1473, 2166, 2197, 2199, 2209, 2210, 2213, 2222, 2230, 2232, 2235, 2238], "20110": [2302, 2307], "20111230": 2199, "2011q4": 2210, "2012": [228, 303, 423, 510, 514, 516, 531, 541, 561, 655, 676, 1289, 1482, 1498, 2184, 2199, 2209, 2210, 2213, 2217, 2221, 2222, 2228, 2230, 2232, 2235, 2238, 2289], "20120101": [2209, 2210], "20121201": [2209, 2218], "20121231": 2210, "20127": 2241, "2012q1": [2210, 2264], "2012q2": 2228, "2013": [16, 17, 19, 35, 218, 228, 303, 362, 514, 516, 541, 655, 793, 909, 1078, 1269, 1270, 2184, 2186, 2195, 2197, 2199, 2204, 2209, 2210, 2212, 2213, 2218, 2219, 2220, 2222, 2223, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2289], "20130101": [218, 793, 909, 1078, 1269, 1270, 2184, 2186, 2197, 2199, 2209, 2210, 2212, 2218, 2219, 2222, 2223, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2238], "20130102": [2184, 2197], "20130104": [2184, 2197, 2199, 2218], "20130419": 2219, "2014": [133, 182, 195, 208, 228, 303, 316, 330, 341, 362, 541, 655, 670, 685, 708, 760, 770, 782, 1051, 2195, 2210, 2213, 2217, 2226, 2228, 2230, 2231, 2235, 2271], "20141130": 2210, "2015": [16, 17, 19, 35, 182, 273, 278, 303, 331, 362, 514, 516, 541, 655, 686, 760, 900, 904, 1118, 1498, 2188, 2210, 2213, 2222, 2223, 2230, 2231, 2232, 2235, 2246, 2249, 2250, 2265, 2271], "20150101": 2230, "2016": [35, 182, 276, 292, 294, 332, 517, 644, 646, 688, 760, 902, 905, 1118, 1436, 1447, 1498, 2163, 2186, 2188, 2195, 2199, 2200, 2210, 2212, 2213, 2223, 2235, 2271, 2283, 2298], "20160101": [2163, 2235], "20160525": [2200, 2232], "201621": 2207, "2017": [292, 294, 306, 307, 308, 309, 326, 332, 445, 513, 515, 529, 535, 644, 646, 658, 659, 660, 661, 680, 688, 953, 1100, 1101, 1106, 1344, 1393, 1441, 1442, 1449, 1450, 1452, 1498, 1560, 1741, 2185, 2206, 2210, 2212, 2213, 2223, 2242, 2246, 2277, 2283, 2298], "201754": 2210, "2017q1": [1452, 2210, 2238], "2017q2": [1452, 2210, 2238], "2017q3": 2238, "2017q4": 2238, "2018": [13, 35, 80, 84, 88, 127, 157, 187, 213, 271, 277, 278, 288, 291, 296, 298, 302, 304, 305, 308, 309, 314, 318, 322, 327, 331, 418, 421, 445, 512, 513, 515, 517, 518, 522, 524, 529, 530, 534, 535, 536, 551, 562, 592, 595, 600, 639, 643, 652, 656, 657, 660, 661, 667, 673, 677, 681, 686, 703, 732, 763, 788, 899, 903, 904, 940, 943, 944, 948, 1109, 1145, 1272, 1275, 1286, 1296, 1344, 1452, 1498, 2185, 2199, 2210, 2212, 2213, 2238, 2246, 2298], "20180101": [1272, 1275, 1286, 1296], "20180310": [115, 681], "2018q1": [529, 2238], "2018q2": 2238, "2019": [13, 26, 27, 29, 30, 31, 418, 421, 1344, 1487, 1560, 2199, 2210, 2213, 2241, 2242, 2243, 2245, 2271, 2302], "202": [2184, 2185, 2186, 2188, 2195, 2197, 2199, 2207, 2210, 2211], "2020": [22, 82, 121, 218, 230, 268, 286, 287, 289, 293, 295, 298, 300, 317, 323, 324, 329, 519, 521, 523, 542, 547, 548, 549, 551, 593, 641, 645, 647, 649, 650, 651, 671, 678, 679, 684, 696, 793, 804, 939, 955, 956, 957, 958, 962, 963, 964, 965, 966, 967, 968, 970, 972, 973, 975, 976, 977, 978, 979, 980, 981, 983, 990, 992, 993, 994, 995, 997, 999, 1002, 1006, 1007, 1008, 1009, 1010, 1013, 1014, 1017, 1018, 1019, 1023, 1025, 1075, 1392, 1459, 1464, 1498, 1506, 1524, 1542, 1560, 2199, 2201, 2204, 2210, 2212, 2213, 2283, 2289, 2294, 2298, 2302, 2307], "20200101": [82, 593], "2020q1": 1008, "2021": [288, 296, 318, 639, 652, 673, 940, 943, 948, 957, 970, 997, 1542, 2201, 2207, 2213, 2277, 2289, 2294], "2022": [5, 22, 523, 525, 528, 537, 982, 1185, 1246, 1288, 1491, 1510, 1511, 1512, 1513, 1514, 1515, 1516, 1528, 1529, 1530, 1531, 1532, 1533, 1534, 1542, 1546, 1547, 1548, 1549, 1550, 1551, 1552, 1560, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1578, 1584, 1585, 1586, 1587, 1588, 1589, 1590, 1598, 1605, 1606, 1607, 1608, 1609, 1610, 1611, 1620, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1637, 1641, 1642, 1643, 1644, 1645, 1646, 1647, 1657, 1663, 1664, 1665, 1666, 1667, 1668, 1669, 1677, 1684, 1685, 1686, 1687, 1688, 1689, 1690, 1699, 1705, 1706, 1707, 1708, 1709, 1710, 1711, 1720, 1726, 1727, 1728, 1729, 1730, 1731, 1732, 1745, 1746, 1747, 1748, 1749, 1750, 1751, 1758, 1763, 1764, 1765, 1766, 1767, 1768, 1769, 1776, 1780, 1781, 1782, 1783, 1784, 1785, 1786, 1793, 1799, 1800, 1801, 1802, 1803, 1804, 1805, 1815, 1821, 1822, 1823, 1824, 1825, 1826, 1827, 1839, 1844, 1845, 1846, 1847, 1848, 1849, 1850, 1857, 1861, 1862, 1863, 1864, 1865, 1866, 1867, 1876, 1881, 1882, 1883, 1884, 1885, 1886, 1887, 1894, 1899, 1900, 1901, 1902, 1903, 1904, 1905, 1912, 1917, 1918, 1919, 1920, 1921, 1922, 1923, 1930, 1934, 1935, 1936, 1937, 1938, 1939, 1940, 1947, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1964, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1982, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 2000, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2018, 2023, 2024, 2025, 2026, 2027, 2028, 2029, 2036, 2041, 2042, 2043, 2044, 2045, 2046, 2047, 2054, 2059, 2060, 2061, 2062, 2063, 2064, 2065, 2077, 2078, 2079, 2080, 2081, 2082, 2083, 2094, 2095, 2096, 2097, 2098, 2099, 2100, 2108, 2112, 2113, 2114, 2115, 2116, 2117, 2118, 2127, 2131, 2132, 2133, 2134, 2135, 2136, 2137, 2145, 2149, 2150, 2151, 2152, 2153, 2154, 2155, 2186, 2203, 2213, 2227, 2298, 2302, 2307], "2022a": 2294, "2023": [34, 270, 298, 301, 320, 363, 511, 519, 526, 533, 543, 544, 545, 546, 547, 548, 549, 551, 554, 555, 556, 557, 558, 560, 563, 564, 565, 566, 567, 651, 894, 898, 954, 959, 960, 982, 984, 1000, 1001, 1003, 1004, 1005, 1011, 1016, 1020, 1021, 1024, 1122, 1141, 1147, 1157, 1170, 1171, 1176, 1180, 1185, 1195, 1197, 1206, 1214, 1227, 1228, 1233, 1239, 1245, 1246, 1256, 1258, 1268, 1271, 1273, 1274, 1277, 1278, 1279, 1280, 1282, 1283, 1284, 1285, 1287, 1288, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1501, 1620, 1930, 2090, 2127, 2145, 2213], "202380": 2207, "20239": [2241, 2265], "2024": [270, 544, 546, 555, 567, 894, 898, 2127, 2213], "2025": [36, 544, 546, 555, 567, 894, 898, 2228], "20251": 2307, "2026": 2228, "202602": 2205, "202646": 2230, "20271": 2241, "202872": [2184, 2214], "202946": 2207, "203": [2185, 2186, 2188, 2195, 2197, 2199, 2210, 2211, 2231, 2253], "2030": 2265, "20303": 2265, "20306": 2302, "203098": 2186, "20342": 2246, "2035": 2199, "20353": 2246, "20359": 2271, "2037": [2199, 2210], "20377": 2246, "2038": [2199, 2210], "20380": 2246, "2039": 2199, "20391": 2241, "20393": 2241, "20395": 2246, "204": [24, 2185, 2186, 2188, 2195, 2197, 2199, 2210, 2211, 2220, 2265], "2040": 2199, "20405": 2249, "20419": 2241, "2042": 2264, "204208": 28, "20421": 2283, "20432": 2283, "20438": 2283, "20439": 2277, "20441": 2249, "20445": 2277, "20452": 2246, "20455": 2246, "20464": 2246, "204683": 2216, "2047": 2212, "204786": 2186, "2048": 2212, "20480": 2246, "2049": 2212, "20497": 2241, "20498": 2246, "204988": 2184, "20499": 2241, "205": [2185, 2186, 2188, 2195, 2197, 2199, 2207, 2210, 2211, 2227, 2249, 2253], "2050": 2212, "20500": 2265, "20503": 2241, "2051": 2212, "205158": 2207, "20516": 2246, "20517": 2241, "205172": 2207, "20519": 2265, "2052": 2212, "20523": 2241, "20527": 2241, "20529": 2241, "2053": 2212, "20535": 2246, "2054": 2212, "2055": 2212, "20552": 2243, "20554": 2241, "2056": 2212, "205609": [242, 817], "20561": 2241, "20564": 2241, "20568": 2241, "20570": 2241, "205701": 2207, "20583": 2241, "20584": [2241, 2265], "20585": 2246, "205899": 2199, "20591": 2246, "205917": 2207, "20593": 2229, "20594": 2277, "205944": [2199, 2235], "206": [2185, 2186, 2188, 2195, 2197, 2199, 2210, 2211, 2220], "20601": 2246, "206053": [2185, 2191, 2197], "2061": [2199, 2204], "20611": 2246, "20612": [2265, 2289], "206122": 2193, "20613": 2265, "20629": 2249, "2063": 31, "206341": 2207, "20636": [2241, 2246], "2064": [31, 2191], "206412": [2185, 2197, 2199, 2202, 2204, 2215, 2257], "206446": 2207, "20647": [2271, 2298], "20649": 2277, "2065": 31, "20653": 2241, "20656": 2246, "2066": 31, "206601": 2186, "20661": 2241, "20664": 2241, "2067": [30, 31], "20671": 2241, "20675": 2241, "20678": 2241, "2068": [30, 31], "20690": 2241, "206900": 2201, "20698": 2241, "20699": 2246, "207": [2185, 2186, 2188, 2195, 2197, 2199, 2210, 2211], "20700": 2246, "2071": 2210, "207103": 2191, "20712": 2307, "20716": 2241, "2072": 2210, "20721": 2265, "20722": 2241, "20724": 2246, "20725": 2241, "20726": 2246, "207282": 2207, "2073": [2210, 2221], "20730": 2265, "20742": 2246, "20744": 2241, "20747": 2246, "20748": 2241, "2075": 2246, "20753": 2241, "207550": 2186, "207585": 2207, "207595": 2215, "2076": 2246, "20760": 2246, "207603": 2235, "20768": 2246, "207699": 2207, "2077": 2246, "20772": 2265, "20775": 2265, "20777": 2241, "20783": 2246, "20785": 2241, "208": [2185, 2186, 2188, 2195, 2197, 2199, 2210, 2211, 2212], "208011": 2230, "20808": 2241, "208098": 2195, "208192": 2199, "20825": 2246, "20835": 2241, "20841": 2265, "208412": 2207, "20842": 2241, "20848": 2241, "20854": 2243, "208564": 2207, "20859": 2241, "20868": 2294, "20869": 2246, "208707": 2199, "208843": [2184, 2214], "209": [2185, 2186, 2188, 2195, 2197, 2199, 2210, 2211, 2212, 2253], "209013": 15, "20902": 2241, "209097": 2207, "20911": 2246, "209138": 2185, "20920": 2241, "20921": 2241, "20925": 2242, "20927": 2271, "2093": 2210, "20938": 2249, "209395": 2235, "2094": 2210, "20945": 2242, "20947": 2241, "20949": 2241, "20964": 2246, "209677": 2218, "20968": 2242, "2097": 2214, "20976": 2241, "20983": 2241, "209847": 2186, "20987": 2241, "20994": 2242, "20995": 2265, "20_000": 1485, "20px": 1423, "20th": 31, "20x": [2199, 2225, 2228, 2307], "21": [3, 15, 17, 18, 19, 22, 24, 25, 28, 29, 30, 31, 32, 101, 108, 213, 219, 242, 283, 345, 586, 788, 817, 910, 987, 1198, 1397, 1430, 1437, 1438, 1439, 1657, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2222, 2223, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2240, 2241, 2246, 2249, 2265, 2271, 2274, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "210": [134, 709, 1433, 2185, 2186, 2188, 2195, 2197, 2199, 2210, 2211, 2212], "21002": 2243, "21003": 2277, "2101": 2264, "21015": 2242, "21020": 2277, "2102402": 2205, "21025": 2242, "21036": 2265, "21037": 2265, "21041": 2242, "210427": 2199, "21052": 2242, "210526": 2222, "21055": 2298, "21063": 2242, "21071": 2242, "21078": 2242, "21083": 2242, "2109": 2264, "21090": 2271, "210945": 2195, "21097": 2242, "211": [2185, 2186, 2188, 2195, 2197, 2199, 2203, 2210, 2211, 2212, 2254], "2110": 2264, "21101": 2242, "21103": 2242, "21104": 2243, "211056": 2197, "21106": 2242, "21107": 2242, "21115": 2246, "21118": 2242, "21119": 2242, "211230": 2199, "21125": 2242, "21126": 2242, "21133": 2242, "211372": [2185, 2197, 2199, 2202, 2204, 2215], "21141": 2243, "21144": 2242, "21149": [2242, 2243], "21151": 2246, "21152": [2242, 2249], "211526": [2184, 2195, 2214], "21157": 2289, "21158": 2242, "21161": 2242, "2117": 1344, "21172": 2246, "21180": 2243, "21184": 2246, "21185": 2246, "21194": 2246, "211984": 2207, "212": [2184, 2185, 2186, 2188, 2195, 2197, 2199, 2210, 2211, 2212, 2231, 2254], "21200": 2246, "21207": 2242, "2121": [2184, 2186, 2191], "21211": 2289, "212112": [16, 17, 18, 19, 2184, 2185, 2191, 2193, 2195, 2197, 2199, 2202, 2204, 2208, 2210, 2214, 2215, 2216, 2218, 2220, 2225, 2231, 2235, 2241, 2257, 2260], "2121120250208506": [2186, 2191], "21220": 2246, "21226": 2246, "21227": 2246, "212273": 2207, "21230": 2242, "21235": 2246, "21237": 2246, "2124": 2264, "21240": 2283, "21241": 2242, "21242": 2246, "21243": 2242, "21244": [2242, 2246], "21248": 2246, "2125": 2264, "21253": 2242, "21256": 2277, "21257": 2246, "21258": 2246, "21262": 2243, "212636": 2207, "21266": 2283, "21267": 2242, "212673": 2185, "21274": 2246, "212740": 2207, "212799": 2197, "21282": 2246, "21286": 2242, "21287": 2242, "21294": 2246, "21295": 2246, "213": [1433, 2185, 2186, 2188, 2195, 2197, 2199, 2207, 2210, 2211], "21303": 2249, "21311": 2283, "21314": 2246, "21328": 2246, "21333": 2246, "21334": 2298, "21335": 2294, "21336": 2246, "213379": 2185, "21341": 2246, "21344": 2249, "21345": 2249, "21353": 2246, "21356": 2242, "21358": 2246, "213588": [2185, 2191, 2197], "2136": 2204, "21365": 2246, "21369": 2246, "21372": 2246, "21374": 2310, "21380": 2243, "21390": 2243, "214": [2185, 2186, 2188, 2195, 2197, 2199, 2210, 2211, 2212, 2254], "21400": 2265, "21404": 2246, "214041": 2207, "214154": 2207, "21417": 2249, "21422": 2298, "214235": 2207, "21425": 2271, "21426": 2243, "21427": 2246, "21428": 2246, "214286": 31, "21441": 2243, "21448": 2243, "21450": [2199, 2294], "21455": [1199, 1260], "21459": 2246, "21469": 2246, "21470": 2243, "21471": 2243, "21484": 2243, "2149": 2264, "21494": 2243, "215": [2185, 2186, 2188, 2191, 2195, 2197, 2199, 2210, 2211, 2254], "21508": 2246, "2151": 2264, "21510": 2249, "21517": 2277, "215202": 2207, "21521": 2249, "21524": 2243, "21526": 2246, "21527": 2265, "215274": 2207, "21530": 2246, "21536": 2243, "21546": 2246, "21548": 2246, "21552": 2246, "21557": 2246, "215650": 2199, "215720": 2207, "21581": 2277, "21582": 2246, "215821": 2207, "215897": [2184, 2195, 2214], "2159": 2264, "21593": 2246, "215962": 2195, "21597": 2302, "216": [28, 2185, 2186, 2188, 2195, 2197, 2199, 2210, 2211, 2220], "21603": 2249, "21606": 2246, "21610": 2246, "21613": [2246, 2265], "21614": [2246, 2265], "21616": 2246, "21625": 2246, "21627": 2246, "21639": 2246, "2164": 2264, "21641": 2246, "21654": 2246, "21659": 2246, "21662": 2249, "216658": 2207, "21667": 2265, "21668": 2265, "21670": 2246, "21671": 2249, "216718": 2214, "21673": 2283, "21678": 2246, "21681": 2246, "21688": 2246, "21697": 2246, "216974": 2197, "217": [25, 2185, 2186, 2188, 2195, 2197, 2199, 2210, 2211], "217002": 2207, "21704": 2246, "21716": 2245, "217165": 2207, "217196": 2207, "217262": 2207, "21729": 2249, "21734": 2289, "217356": [1199, 1260], "21737": 2246, "2174": 2246, "2175": 2246, "2176": 2246, "21761": 2246, "21762": 2246, "217659": [2184, 2214], "21767": 2246, "21768": 2283, "21770": 2246, "21775": 2265, "2178": 2246, "21781": 2246, "217815": 2191, "21785": 2244, "21789": 2246, "218": [2185, 2186, 2188, 2195, 2197, 2199, 2210, 2211, 2220, 2231], "21801": 2249, "21809": 2246, "21813": 2245, "21824": 2271, "2184": 2264, "21846": 2246, "218470": 2193, "2185194620014831856": 2164, "218570": 2207, "21864": 2246, "21866": 2246, "21867": 2246, "218745": 2207, "21877": 2246, "218792": 2230, "21891": 2246, "21892": 2289, "218983": 2217, "219": [2185, 2186, 2188, 2195, 2197, 2199, 2210, 2211], "219049": 2207, "219115": 2184, "219182": 2205, "219217": [2185, 2197, 2199, 2202, 2204], "21925": 2246, "219296": 2207, "2193": 2246, "21930": 2265, "21939": 2246, "2194": 2217, "21947": 2246, "219477": 2230, "21948": 2246, "21950": 2246, "21951": 2249, "21952": 2250, "21956": 2246, "219565": 2235, "219582": 2199, "21959": 2265, "219649": [2199, 2294], "21965": 2245, "219673": 15, "21978": 2246, "21980": 2246, "21997": 2246, "21998": 2246, "21st": 31, "22": [10, 15, 17, 18, 19, 22, 23, 25, 29, 30, 31, 32, 133, 144, 208, 213, 230, 345, 513, 515, 535, 708, 782, 788, 804, 993, 1010, 1019, 1259, 1274, 1397, 1430, 1498, 1598, 1657, 1677, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2217, 2218, 2219, 2220, 2222, 2223, 2226, 2227, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2242, 2246, 2249, 2265, 2271, 2277, 2283, 2294, 2298, 2302, 2307], "220": [118, 132, 135, 159, 161, 175, 2185, 2186, 2188, 2195, 2197, 2199, 2210, 2211, 2220, 2257], "2200": [2210, 2265], "22000": 150, "22001": 2246, "220026": 2207, "22004": 2246, "22005": 2246, "22015": 2246, "22034": 2249, "220343": 2207, "22036": 2271, "22039": 2246, "220390": 2214, "22044": 2249, "22046": 2277, "22047": 2246, "220484": 2207, "2205": 2264, "220674": 2195, "22074": 2246, "22083": 2246, "22084": 2246, "22085": 2246, "22092": 2246, "221": [2185, 2186, 2188, 2195, 2197, 2199, 2210, 2220], "221118": 2191, "221163": 2207, "22119": 2246, "22124": 2246, "221265": 2214, "22144": 2289, "2215": 2218, "22150": 2246, "22158": 2246, "22159": 2249, "22163": 2246, "2217": 1344, "22199": 2246, "222": [2185, 2186, 2188, 2195, 2197, 2199, 2210, 2220], "22205": 2274, "222082": 2197, "222103": 2207, "22221": 2246, "22227": 2246, "2224": [2214, 2220], "22242": 2246, "2225": 2220, "22252": 2249, "222522": 2207, "22256": 2246, "22270": 2246, "222743": 29, "22280": 2246, "22290": 2246, "22295": 2246, "22298": 2246, "223": [2185, 2186, 2188, 2195, 2197, 2199, 2210, 2220, 2254], "223019": 2235, "22305": 2249, "223065": 2228, "22311": 2246, "22313": 2246, "22315": 2283, "22318": 2265, "22325": 2246, "22326": 2246, "22332": 2246, "22334": 2249, "22346": 2246, "223540": 2185, "22356": 2246, "22367": 2246, "22372": 2293, "22376": 2246, "22383": 2246, "22386": 2246, "22387": 2246, "22389": 2246, "22390": 2246, "22397": 2246, "224": [2185, 2186, 2188, 2195, 2197, 2199, 2210], "224000": 2195, "224077": 2207, "22420": 2246, "224283": 2197, "22435": 2289, "224364": 2186, "22441": 2246, "224426": 2191, "22451": 2289, "22457": 2246, "22458": [2246, 2265], "22468": 2246, "22476": 2246, "22477": 2246, "224824": 2207, "224826": 2210, "22484": [2246, 2249], "22487": 2246, "2249": [2194, 2201, 2203, 2294, 2302, 2307], "224904": 2230, "22492": 2246, "225": [118, 132, 135, 159, 161, 175, 2185, 2186, 2188, 2195, 2197, 2199, 2210, 2227], "2250": [2194, 2201, 2203, 2294, 2302, 2307], "225000": [121, 696], "22501": 2249, "22508": 2246, "2251": [2194, 2201, 2203, 2294, 2302, 2307], "22519": 2246, "2252": [2194, 2201, 2203, 2294, 2302, 2307], "22527": 2302, "22529": 2277, "2253": [2194, 2201, 2203, 2294, 2302, 2307], "22533": 2246, "22535": 2265, "225365": 2186, "225492": 2217, "225546": 2207, "22555": 2277, "22556": 2246, "22557": 2246, "22578": 2246, "22579": 2246, "22580": 2246, "22591": 2246, "225944": 2207, "226": [2185, 2186, 2188, 2195, 2197, 2199, 2207, 2210, 2218], "226001": 2207, "22610": 2271, "226127": 28, "226169": [2185, 2197, 2199, 2202, 2204, 2215, 2257], "2262": [985, 2210, 2220, 2250], "22628": 2246, "22631": 2246, "226343": 2186, "22644": 2265, "22647": 2246, "22660": 2249, "22664": 2246, "22665": 2246, "226727": 2207, "22676": 2246, "226825": [2185, 2191, 2197, 2199, 2202, 2204], "22684": 2246, "22696": 2246, "226989": 2228, "226997": 2207, "227": [15, 1193, 1254, 2185, 2186, 2188, 2195, 2197, 2199, 2210], "22702": 2246, "22706": 2246, "22707": 2265, "227102": 2207, "227153": 2191, "22717": 2249, "22722": 2249, "22727": 2283, "227371": 2202, "227435": 2186, "22747": 2246, "22748": 2246, "22752": 2246, "22762": 2246, "2277": [2186, 2227], "227761": 2207, "22783": 2246, "22784": 2246, "227870": 2197, "227877": [1148, 1149], "22790": 2246, "22794": 2307, "22796": 2246, "22797": 2271, "22799": 2265, "227996": 2191, "228": [2185, 2186, 2188, 2195, 2197, 2199, 2210], "22801": 2246, "22803": 2246, "228039": [2184, 2257, 2260], "22805": 2246, "22818": [2283, 2298], "22835": 2246, "22858": 2246, "22860": 2246, "22862": 2246, "22880": 2246, "22887": 2246, "229": [2185, 2186, 2188, 2195, 2197, 2199, 2210], "22903": 2246, "22905": 2246, "22912": 2246, "22922": 2246, "229349": 2207, "22938": 2246, "229453": 2197, "229616": 2207, "22962": 2298, "229675": 2207, "229800": 2197, "22981": 2246, "22984": 2246, "229864": 2207, "22988": 2246, "229938": 2207, "22994": 2246, "23": [15, 17, 18, 19, 24, 25, 26, 27, 29, 30, 31, 32, 213, 230, 259, 276, 277, 341, 345, 363, 511, 514, 516, 519, 522, 531, 532, 549, 561, 651, 676, 788, 804, 823, 836, 837, 838, 839, 840, 841, 842, 843, 844, 890, 902, 903, 924, 985, 1192, 1253, 1657, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2222, 2225, 2226, 2227, 2228, 2230, 2231, 2232, 2235, 2238, 2246, 2247, 2249, 2264, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "230": [2185, 2186, 2188, 2195, 2197, 2199, 2207, 2210, 2254], "23000": [2199, 2246], "230012": 23, "230066": 2191, "23009": 2246, "2301": 2217, "23011": 2249, "23013": 2249, "230190": 2212, "23020": 2246, "230249": 2207, "230291": 2207, "23033": 2246, "2304": 2228, "23050": 2249, "23053": [2246, 2265], "23061": 2246, "230636": 2207, "23066": 2246, "23070": 2246, "23077": 2246, "23078": 2246, "23079": 2246, "23083": 2246, "23087": 2266, "23089": 2289, "23094": 2246, "231": [2185, 2186, 2188, 2195, 2197, 2199, 2210], "231054": 2207, "23110": [2246, 2265], "23114": 2246, "23118": 2246, "23122": 2289, "23124": 2302, "231342": 2199, "23163": 2249, "231686": 2207, "2317": 1344, "231783": 2207, "23189": 2246, "232": [2185, 2186, 2188, 2195, 2197, 2199, 2207, 2210, 2220], "23215": 2246, "232189": 2207, "23222": 2249, "23227": 2246, "23228": 2246, "23229": 2246, "23236": 2246, "232466": 2186, "232583": 2199, "23264": 2265, "2327": 2215, "23270": 2246, "23273": 2246, "23282": 2246, "23283": 2246, "23284": 2246, "23293": 2249, "23294": 2246, "23296": 2246, "233": [2185, 2186, 2188, 2193, 2195, 2197, 2199, 2203, 2210, 2220, 2254, 2298], "233070": 2207, "23309": 2246, "233103": 2184, "233141": 2185, "23316": 2289, "233203": 2197, "23348": 2265, "23352": 2246, "233686": [121, 696, 2212], "23372": 2246, "233881": 2199, "234": [233, 2185, 2186, 2188, 2195, 2197, 2199, 2203, 2210, 2220, 2254, 2298], "23404": 2246, "234178": 2207, "23424": 2246, "23451": 2246, "23455": 2246, "234564": 2195, "23466": 2246, "234686": 2186, "234720": 2207, "23473": 2246, "234783": 2207, "23484": 2246, "23490": 2246, "234945": 2207, "235": [2185, 2186, 2188, 2195, 2197, 2199, 2203, 2210, 2220, 2298], "23509": 2246, "23510": 2246, "23511": 2246, "235154": 2207, "23516": 2246, "23519": 2249, "23524": 2246, "235243": 2207, "23525": 2249, "23527": 2246, "235357": 2207, "23539": [2246, 2265], "23549": 2246, "23551": 2249, "23553": 2283, "23555": 2246, "23556": 2246, "23558": 2246, "23559": 2246, "23563": 2265, "23566": 2265, "23569": 2246, "235702": 28, "23573": [2246, 2265], "23574": 2265, "23575": 2246, "23579": 2246, "235796": 2204, "235806": 2207, "23585": [2246, 2265], "23598": 2298, "236": [2185, 2186, 2188, 2195, 2197, 2199, 2203, 2210, 2220, 2298], "236000": [2185, 2220], "23601": [2246, 2265], "23614": 2246, "236170": 2207, "23619": 30, "23621": 2265, "23623": 2246, "236269": [2185, 2197, 2199, 2202], "236277": 2199, "23633": 2246, "23634": 2246, "23635": 2265, "23638": 2265, "236600": 2207, "23662": 2246, "23666": 2246, "23675": 2246, "23677": 2246, "23679": 2249, "23682": 2246, "23683": 2249, "23687": 2246, "23697": 2289, "237": [2185, 2186, 2188, 2195, 2197, 2199, 2210, 2220, 2298], "237000": [2185, 2220], "23705": 2249, "23711": 2246, "237124": 2207, "237159": 2199, "23719": 2265, "237242": [2191, 2207], "237274": 2191, "237325": 2207, "23739": 2265, "237417": [242, 817], "237422": 2207, "23743": 2277, "23744": 2246, "2375": 29, "23752": 2265, "23753": 2246, "23758": 2246, "237589": 2195, "237592": 2207, "23760": 2246, "23761": 2246, "23767": 2265, "23772": 2246, "237722": 2230, "237723": 2195, "23774": 2246, "23779": 2265, "23784": 2271, "23785": 2249, "23788": 2246, "237881": 2185, "238": [2185, 2186, 2188, 2195, 2197, 2199, 2210, 2220, 2298], "238000": [2185, 2220], "23801": 2246, "23803": 2277, "23807": 2246, "238075": 2197, "23809": 2271, "23814": 2246, "238143": 2229, "23816": 2246, "23818": 2246, "238224": 2191, "23829": 2246, "23830": 2249, "2384": 2214, "23843": 2249, "2385": 2220, "23854": 2277, "238636": 15, "23868": 2249, "23874": 2246, "23878": 2246, "2388": 2185, "23882": 2246, "238919": 2207, "239": [2185, 2186, 2188, 2195, 2197, 2199, 2210, 2220, 2298], "239000": [2185, 2220], "239072": 2235, "23917": [2246, 2265], "23919": [2246, 2265], "23925": 2265, "23931": 2248, "23932": 2246, "23937": 2265, "239403": 2207, "23955": 2289, "23963": 2246, "2397": 2199, "23970": 2246, "239771": 2207, "23978": 2246, "23980": 2246, "239885": 2186, "23990": [2246, 2265], "23998": 2289, "239990": 2235, "23h30min": [213, 345, 788, 2210], "24": [3, 15, 17, 18, 19, 25, 29, 30, 31, 32, 35, 101, 133, 134, 198, 208, 213, 214, 249, 271, 282, 341, 345, 407, 411, 532, 632, 708, 745, 751, 782, 788, 882, 899, 938, 1198, 1202, 1263, 1344, 1397, 1430, 1491, 1506, 1524, 1542, 1560, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2218, 2219, 2220, 2222, 2223, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2249, 2265, 2271, 2277, 2283, 2287, 2289, 2294, 2297, 2298, 2302, 2307], "240": [1302, 1433, 2185, 2186, 2188, 2195, 2197, 2199, 2210, 2220, 2231, 2238, 2246, 2298], "24008": 2223, "24009288": 2199, "24011": 2249, "24014": 2249, "24023": 2246, "24024": 2246, "24025": 2246, "24043": 2249, "24044": 2246, "240447": 2186, "24048": 2265, "24050": [2246, 2265], "240521": 2207, "24056": 2246, "24076": 2249, "24077": 2246, "240774": 2191, "24084": 2246, "240848": 2207, "240893": 2207, "240991": 2186, "241": [2185, 2186, 2188, 2193, 2195, 2197, 2199, 2207, 2210, 2220, 2246, 2254, 2298], "24103": 2302, "241039": 2230, "2411": 2214, "24110": 2246, "24112": 2265, "24113": 2246, "24114": 2265, "24115": 2265, "24118": 2246, "2412": 2214, "24121": 2302, "24124": 2283, "241241": 2207, "241263": 2207, "24127": 2246, "241295": 2207, "24130": 2265, "24139": 2246, "24142": 2246, "24147": 2246, "241527": 2217, "24157": [2246, 2265], "24162": 2246, "241620": 2191, "2417": 1344, "24182": 2184, "241860": 2191, "2419": 2226, "24198": 2248, "242": [2185, 2186, 2188, 2195, 2197, 2199, 2203, 2210, 2220, 2246, 2254, 2298], "24203": [2246, 2265], "24204": 2246, "24206": 2277, "24212": 2249, "242207": 2207, "242255": 2199, "24241": 2246, "242576": 2207, "242577": 2199, "24263": 2277, "242634": 2186, "242641": 1339, "24265": 2246, "242685": [2220, 2228, 2230], "242720": 2214, "242805": 2207, "24284": 2246, "242861": 2202, "242883": 2186, "242940": 2199, "243": [2185, 2186, 2188, 2195, 2197, 2199, 2203, 2210, 2220, 2227, 2235, 2246, 2249, 2254, 2298], "24306": 2289, "243080": 2207, "24329": 2271, "243354": 2207, "24345": 2298, "243458": 2207, "243487": 2185, "24349": 2246, "24350": 2246, "24353": 2246, "243550": 2257, "24356": 2246, "243678": 2210, "2437": 2216, "24371": 2246, "24372": 2246, "24382": 2271, "2439": [196, 771], "24398": 2246, "244": [268, 745, 2185, 2186, 2188, 2195, 2197, 2199, 2203, 2210, 2220, 2222, 2224, 2246, 2254, 2298], "24405": 2246, "24408": 2246, "244140625": 2298, "24415": 2246, "24416": 2249, "24435": [2283, 2298], "244413": 2199, "2445": 2202, "24458940": 2199, "24466": 2246, "244688": 2199, "24471": [2246, 2249], "24486": 2265, "24491": 2246, "245": [1403, 2185, 2186, 2188, 2195, 2197, 2199, 2203, 2210, 2220, 2298], "24510": 2246, "245166": 2197, "24518": 2298, "245334": 2210, "24548": 2246, "24559": [2246, 2265, 2289], "24569": 2246, "24570": 2249, "24574": 2246, "245838": 2207, "2458923": 1006, "24596": 2265, "246": [2185, 2186, 2188, 2193, 2195, 2197, 2199, 2203, 2210, 2220, 2298], "246288": 2207, "24630": 2246, "24653": 2249, "246622": 2207, "246648": 2207, "24675": 2246, "24694": [2246, 2265], "247": [2185, 2186, 2188, 2195, 2197, 2199, 2210, 2220], "24704": 2246, "24710": 2246, "24713": 2249, "24718": 2246, "24729": 2271, "24740": 2246, "24751": [2246, 2265], "24753": 2246, "24757": 2249, "247572": 2199, "24760": 2265, "24763": 2246, "247642": [2184, 2195, 2214], "24767": 2246, "24775": 2249, "247792": 2220, "24782": 2249, "24784": 2265, "248": [144, 2185, 2186, 2188, 2195, 2197, 2199, 2210, 2220, 2254], "248000": [2185, 2220], "248003": [102, 1158], "24804": [2277, 2298], "24806": 2265, "24813": 2249, "24817": 2289, "24839": 2277, "24845": 2294, "24849": 2246, "248505": 2215, "24860": 2283, "24861": 2246, "24867": 2249, "248717": 2191, "24874": 2246, "24880": 2249, "24889": 2249, "24892": 2289, "24893": 2265, "24895": 2249, "248959": 2199, "249": [1482, 1483, 2185, 2186, 2188, 2195, 2197, 2199, 2210, 2220, 2257], "249000": [2185, 2220], "249012": 2207, "24910": 2249, "24919": 2249, "24923": 2249, "24925": 2248, "249281": 2235, "249328": 2207, "24939": 2247, "24940": 2247, "24942": 2249, "24959": 2247, "24961": 2247, "24963": 2247, "249656": 2210, "24969": 2247, "2497": 2202, "24971": 2248, "24972": 2247, "249762": 2207, "24980": 2277, "24984": 2249, "24985": 2249, "24987": 2246, "24988": 2247, "249881": 2230, "24990": 2265, "24992": 2249, "24994": 2249, "249976": 2230, "24h": [1598, 1677, 2277], "24px": 2207, "25": [3, 15, 17, 18, 19, 23, 25, 26, 27, 28, 29, 30, 31, 81, 107, 108, 114, 134, 142, 144, 148, 149, 177, 178, 188, 189, 190, 192, 193, 195, 213, 242, 281, 283, 343, 344, 402, 586, 597, 629, 709, 725, 726, 755, 756, 764, 765, 766, 768, 770, 776, 788, 817, 910, 1164, 1204, 1221, 1264, 1291, 1314, 1336, 1344, 1419, 1433, 1447, 1467, 1498, 1502, 1657, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2215, 2216, 2217, 2218, 2220, 2222, 2225, 2226, 2228, 2230, 2231, 2232, 2233, 2235, 2238, 2241, 2247, 2248, 2254, 2256, 2257, 2260, 2265, 2271, 2277, 2283, 2289, 2294, 2297, 2298, 2302, 2307], "250": [111, 118, 132, 135, 159, 161, 175, 205, 633, 778, 2185, 2186, 2188, 2195, 2197, 2199, 2201, 2207, 2210, 2220], "2500": [24, 25, 28, 29, 32], "250000": [1205, 1267, 2185, 2186, 2201, 2220, 2222, 2235], "25009": 2249, "25014": 2247, "25016": 2249, "25017": 2249, "25022": 2265, "25034": 2247, "25036": 2247, "2504": 2257, "25040": 2249, "25045": 2249, "25047": 2249, "25057": 2271, "25061": 2248, "25065": 2249, "250663": 2186, "25070": 2249, "25075": 2248, "25077": 2248, "25080": 2248, "25087": 2249, "250933": 2186, "25099": 2265, "250m": 2210, "250n": 2202, "250u": 2202, "251": [2185, 2186, 2188, 2193, 2195, 2197, 2199, 2210, 2220], "251000": [2185, 2220], "25101": 2248, "25103": 2210, "251032": 2207, "251136": 2207, "251465": 2230, "25151": 2298, "251552": 2207, "25160": 2265, "25165": 2277, "25167": 2249, "2517": 1344, "25170": 2248, "251783": 2207, "25180": 2248, "25183": 2248, "25184": 2248, "2519": 2204, "251905": [2185, 2191, 2197], "25191": 2249, "25193": 2248, "25196": 2248, "251983": 2207, "251986": 2195, "252": [2185, 2186, 2188, 2195, 2197, 2199, 2210, 2220], "252000": [2185, 2220], "25211": 2249, "25220": 2249, "252244": 2207, "25231": 2249, "252395": [182, 760], "25241": 2249, "252450": 2210, "25259": 2248, "25261": 2283, "252728": 15, "252795": 2207, "25282": 2248, "252916": 2186, "25299": 2248, "253": [2185, 2186, 2188, 2195, 2197, 2199, 2210, 2220, 2254], "253000": [2185, 2220], "253022": 2199, "25303": 2265, "25311": 2248, "253128": 2191, "25317": 2248, "25318": 2248, "253355": 2210, "25338": 2248, "253495": 2207, "253881": 2229, "254": [2185, 2186, 2188, 2195, 2197, 2199, 2210, 2220], "254000": [2185, 2220], "25403": 2248, "25405": 2249, "25409": 2248, "254161": [2184, 2195, 2214], "25433": 2249, "25435": 2249, "25436": 2265, "254374": 2186, "25438": 2289, "25444": 2249, "25445": 2249, "254472": 2186, "25464": 2294, "25468": 2249, "25472": 2289, "25475": 2289, "25481": 2249, "25484": 2249, "254841": 2235, "25485": 2248, "254856": 2207, "25495": 2265, "255": [108, 630, 1433, 2185, 2186, 2188, 2195, 2197, 2199, 2210, 2220, 2247, 2265], "255000": [2185, 2220], "25506": 2249, "2550694": 2202, "25509": 2271, "2551": 2202, "25512": 2249, "255132": 18, "25514": 2249, "255238": 2207, "255448": 2207, "25545": 2248, "25549": 2289, "25554": 2249, "25555": 2249, "25557": 2249, "255619": 2229, "255630": 2207, "25575": 2249, "25580": 2248, "25587": 2249, "255931": 2207, "25596": 2271, "256": [2186, 2188, 2195, 2197, 2199, 2210, 2246], "256033": 2207, "25608": 2249, "256090": 2186, "25616": 2248, "25623": [2283, 2298], "2563": 2215, "256346": 2207, "256348": 2214, "25648": 2271, "256530": 2199, "256692": 2207, "25681": 2249, "25691": 2249, "25692": 2249, "256944": 2207, "25696": 2249, "257": [3, 2186, 2188, 2195, 2197, 2199, 2210], "25702": 2249, "25704": 2249, "25708": 2249, "25710": 2249, "257213": 2186, "25725": 2249, "257257": 2207, "25729": 2249, "257326": 2230, "2574": 2215, "25752": 2249, "25753": 2249, "25754": 2249, "25758": 2271, "25760": 2265, "257606": 2186, "257623": 2186, "25766": 2249, "25772": 2249, "257759": 2195, "25777": 2271, "2578": [2218, 2222], "25784": 2249, "258": [2186, 2188, 2195, 2197, 2199, 2210, 2227], "25804": 2249, "25807": 2249, "25809": 2249, "25814": 2249, "2583": 29, "258332": 2207, "2583560": [176, 179], "258410": 2207, "25843": 2249, "25851": 2249, "25860": 2249, "258648": 2210, "25871": 2249, "25880": 2298, "25893": 2249, "258993": 2197, "259": [2186, 2188, 2195, 2197, 2199, 2210], "25905": 2249, "25913": 2249, "259200": [683, 2298], "259200000000000": [931, 933, 937], "25922": 2249, "259260": 2228, "25928": 2249, "25941": 2249, "25945": 2249, "25955": 2265, "25959": 2249, "25960": 2249, "25969": 2283, "25971": 2307, "25978": 2249, "259795": 2207, "2598": 2220, "25984": 2249, "25990": 2249, "25em": 2207, "25px": 1421, "25th": [107, 629, 1164, 1221], "25x": 2238, "26": [3, 15, 17, 18, 19, 25, 29, 30, 31, 35, 101, 134, 213, 259, 341, 345, 788, 877, 890, 1344, 1498, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2213, 2216, 2217, 2218, 2220, 2222, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2265, 2271, 2283, 2289, 2294, 2298, 2302, 2307], "260": [144, 2186, 2188, 2195, 2197, 2199, 2210, 2235], "26005": 2249, "260096": 2207, "26011": 2249, "2602": 2215, "260222": 2207, "26023": 2265, "26039": 2249, "26043": 2249, "26045": 2249, "260476": [2224, 2228], "26049": 2294, "260503": 2199, "26051": 2249, "26053": 2249, "26068": 2289, "26070": 2289, "260719": 2191, "260847": 2207, "26089": 2249, "2609": 2215, "26097": 2249, "261": [2186, 2188, 2195, 2197, 2199, 2210, 2235, 2254], "26104": 2249, "26109": 2271, "2612": 2228, "26122": 2249, "26124": 2277, "26125": 2249, "2613": 2215, "26131": 2289, "26136": 2249, "261385": 2210, "26154": 2249, "26168": 2249, "261689e": 2191, "2617": 1344, "261740": 15, "26186": [2277, 2278], "261917": 2207, "26198": 2249, "262": [2186, 2188, 2195, 2197, 2199, 2210], "26203": 2289, "26206": 2249, "26208": 2249, "2621": 2202, "262127": 2207, "2621358": 2202, "26214": 2265, "262140": 1354, "262144": [1345, 1391, 1432, 1434, 1488, 1490, 2199, 2202], "26215": 2250, "262150": 1354, "26237": 2277, "262419": 15, "262467": 2197, "26258": 2249, "262585": [2186, 2207], "2626": 2215, "262637": 2207, "262731": [2191, 2197], "262736": 162, "262783": 2207, "26284": 2271, "2629": 2215, "263": [2186, 2188, 2195, 2197, 2199, 2210, 2218], "26303": 2249, "2631": 2215, "26310": 2249, "26314": 2289, "26326": 2249, "2633": 2215, "26335": 2249, "26336": [2249, 2265], "26342": 2249, "26349": 2249, "26372": 2249, "26381": 2249, "26385": 2250, "26388": [2269, 2270], "26390": 2249, "263914": 2207, "263952": [2184, 2214], "26397": 2249, "264": [283, 910, 2186, 2188, 2195, 2197, 2199, 2210], "2640": 2215, "264043": 2207, "26405": [2249, 2265], "2641": 2216, "26411": 2283, "26421": 2249, "264223": 2197, "26426": 2249, "26430": 2249, "26438": [2249, 2265], "26443": 2265, "26447": 2249, "264506": 2207, "26454": 2298, "2646": 2224, "264610": [2184, 2214], "26466": 2249, "26469": 2271, "26476": 2277, "26490": 2277, "26491": 2277, "26493": 2298, "26495": 2249, "264975": 2207, "265": [2186, 2188, 2195, 2197, 2199, 2210, 2231], "26504": 2249, "26512": 2249, "26513": 2271, "265275": 2207, "265351": 2207, "26536": 2249, "26537": 2249, "265445": 2207, "26545": 2249, "26554": 2249, "2656": 2249, "265616": 2207, "26563": 2249, "26565": 2249, "26566": 2249, "26568": 2307, "2658": 2257, "26581": [2249, 2265], "265879e": 2191, "265936": 2229, "26597": [2249, 2265], "26598": 2257, "26599": [2271, 2283], "266": [2186, 2188, 2195, 2197, 2199, 2210], "266046": [2184, 2214], "2661": 2204, "26610": 2249, "266143": [2185, 2197], "26615": 2289, "266152": 2207, "266154": 31, "26617": 2249, "266191": 2205, "266250": 2207, "26632": 2265, "266330": 2230, "266455": 2207, "266457": 2199, "26649": 2249, "26651": 2249, "26658": 2249, "26660": 2249, "26667": 2271, "26675": 2249, "2668": 2215, "26683": 2267, "26684": 2265, "26689": 2249, "266896": 2207, "266901": 2199, "267": [1193, 1254, 2186, 2188, 2195, 2197, 2199, 2210, 2257], "26702": 2249, "26705": 2249, "26722": 2249, "267414": 2207, "26744": 2265, "26747": 2250, "267526": 2207, "26761": 2271, "26773": 2249, "267767": [1148, 1149], "267827": 2207, "267828": 2207, "2678400": 2218, "2678703": 2218, "2679": 2246, "268": [2186, 2188, 2195, 2197, 2199, 2210], "2680": 2215, "268100": 2207, "268106": 2207, "268121": 2199, "26825": 2249, "2683": 2215, "26835": 2249, "26839": 2265, "2684": 2215, "268413": 2207, "2685": 2221, "268520": [2184, 2195, 2214], "2686": 2215, "2687": 2215, "2689": 2215, "268968": 2207, "269": [2186, 2188, 2195, 2197, 2199, 2210], "2690": 2215, "26916": 2249, "26919": 2283, "2692": 2215, "269219": [242, 817], "26934": 2249, "26939": 2265, "2694": 2215, "26944": 2249, "26946": 2249, "26962463": [624, 1215], "26974": 2283, "269755": 2207, "2698": 2215, "26987": 2249, "26988": 2265, "26989": 2271, "2699": 2215, "26996": 2265, "27": [15, 17, 18, 19, 25, 26, 27, 28, 29, 31, 77, 80, 108, 148, 149, 177, 178, 213, 230, 304, 305, 327, 345, 592, 656, 657, 725, 726, 755, 756, 788, 804, 1057, 1344, 1720, 2036, 2054, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2213, 2216, 2217, 2218, 2220, 2222, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2241, 2246, 2249, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302], "270": [2186, 2188, 2195, 2197, 2199, 2207, 2210], "2700": 2215, "27001": 2249, "27006": 2249, "27008": 2249, "270099": 2197, "27011": 2250, "27017": 2265, "270199": 2207, "2702": 2218, "27031": 2249, "27042": 2249, "2706": 2215, "27063": 2249, "2707": 2199, "27080": 2250, "27081": 2271, "27082": 2249, "27083": 2249, "27084": 2249, "27088": 2249, "271": [2186, 2188, 2195, 2197, 2199, 2210], "2710": [2202, 2216], "27101": 2277, "2710197": 2202, "27103": 2265, "27104": 2277, "27106": 2265, "27110": 2249, "27117": 2265, "27125": 2265, "271265": 2191, "2713": 2215, "271305": 2199, "27136": 2249, "27145": 2265, "27148": 2249, "271532": 2185, "27160": 2249, "27163": 2257, "271637": 2207, "2717": [1344, 2220], "27172": 2249, "2718281": 2223, "27186": [2241, 2249], "271860": [15, 2184, 2185, 2186, 2191, 2195, 2197, 2199, 2202, 2210, 2214, 2215, 2218, 2225, 2231, 2241, 2260], "2719": [2184, 2186, 2191], "271973": 2216, "27198": 2265, "27199": [2249, 2265], "272": [2186, 2188, 2195, 2197, 2199, 2210], "27219": 2249, "27222": 2271, "27237": 2271, "272395": 2235, "27242": 2265, "27250": 2249, "272593": 2230, "27261": 2251, "272673": 2207, "27283": 2265, "27292": 2265, "272968": 2195, "273": [2186, 2188, 2195, 2197, 2199, 2202, 2210, 2257], "2730": 2199, "27309": 2249, "27311": 2265, "27315": 2277, "27321": 2249, "273290": 2207, "273322": 2207, "273388": 2186, "27339": 2249, "27357": 2265, "2736": [2186, 2227], "27365": 2277, "27368": 2265, "27384": 2249, "27388": 2302, "2739": 2216, "27394": 2271, "27395": 2265, "27398": 2265, "274": [2186, 2188, 2195, 2197, 2199, 2202, 2210], "2740": 2208, "274013": 2207, "274028": 2191, "2742": [2204, 2208], "27423": 2197, "274230": [15, 2185, 2197], "2743": 2208, "274306": 31, "274317": 2204, "2745": 2208, "27451": 2265, "27453": 2271, "274580": 2197, "2746": 2208, "27464": 2250, "27469": 2294, "27470": 2250, "27481": 2250, "27482": 2250, "27484": 2250, "27489": 2265, "27495": 2265, "27496": 2250, "275": [2186, 2188, 2195, 2197, 2199, 2210, 2220], "2750": 25, "27500": 2250, "27516": 2250, "27519": 2265, "27526": 2250, "27529": 2265, "27538": 2265, "275396": 2197, "2754": 2222, "27548": 2250, "27553": 2271, "27554": 2283, "27571": 2250, "27573": [2271, 2298], "27575": 2250, "2758": 2216, "275812": 2207, "27585": 2250, "27586": 2265, "27591": 2289, "27596": 2269, "276": [2186, 2195, 2197, 2199, 2210], "27600": 2265, "27610": 2250, "27611": 2265, "27614": 2265, "27615": 2298, "276183": 2257, "2762": [2184, 2186, 2191], "276232": [15, 2184, 2185, 2186, 2191, 2197, 2199, 2202, 2210, 2214, 2215, 2216, 2218, 2225, 2231, 2241, 2264], "27636": 2250, "276386": 2207, "27642": 2250, "276464": 2230, "27656": [2294, 2298], "27660": 2265, "2766617129497566": 2257, "276662": [2185, 2197, 2199, 2202, 2215, 2257], "27668": 2265, "2767": 2191, "27676": 2265, "27679": 2269, "276829": 2185, "27686": 2265, "27692": 2271, "276923": 2212, "277": [2186, 2195, 2197, 2199, 2210], "277052": 2207, "27709": 2283, "277155": 2186, "27720": 2250, "277264": 2207, "277320": 1301, "27733": 2250, "277338": 2207, "27744": 2277, "27745": [2265, 2298], "27756": 2250, "27758": 2265, "27766": 2250, "27775": 2250, "27779": 2250, "27781": 2271, "277825": 2186, "27790": 2265, "278": [2186, 2195, 2197, 2199, 2210], "278094": 2197, "278111": 2186, "27814": 2250, "27837": 2271, "278380": 2199, "27840": 2250, "27841": 2250, "278445": 2184, "2786": 2217, "27865": 2250, "27874": 2265, "27892": 2271, "279": [15, 2186, 2195, 2197, 2199, 2210], "27900": 2251, "279321": 2186, "279344": 2186, "27943": 2250, "27951": 2265, "27952": 2265, "27953": 2271, "27955": 2265, "279789": 2207, "27991": 2250, "27992": 2251, "28": [13, 15, 17, 18, 19, 23, 28, 32, 35, 108, 187, 188, 189, 208, 213, 278, 304, 305, 314, 327, 331, 341, 517, 519, 542, 547, 548, 549, 651, 656, 657, 667, 686, 763, 764, 765, 782, 788, 904, 1271, 1344, 1524, 1720, 1793, 1815, 1947, 2000, 2145, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2213, 2216, 2217, 2218, 2219, 2220, 2222, 2223, 2225, 2226, 2227, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2265, 2277, 2283, 2289, 2294, 2298, 2302], "280": [29, 2186, 2195, 2197, 2199, 2210], "28010": 2265, "280220": 2207, "28023": 2265, "280249": 2206, "280343": 2210, "28049": 2265, "28055": 2250, "280593": 2199, "2807": [1433, 2216], "28071": 2271, "28079": 2265, "28080": 2265, "280835": 2207, "280845": 2219, "2809": 2216, "28095": 2265, "28098": 2265, "28099": 2265, "281": [29, 195, 770, 2186, 2195, 2197, 2199, 2210], "2810": 2216, "281011": 2205, "28103": 2277, "281059": 2197, "28107": 2265, "28113": 2251, "28115": 2265, "28118": 2265, "281247": [2185, 2191, 2197, 2199, 2202, 2204], "28130": 2265, "28139": 2265, "281461": 2191, "28147": 2251, "28150": 2265, "28156": 2271, "28163": 2265, "2817": 1344, "281885": 2186, "28189": 2271, "28192": 2265, "281939": 2207, "282": [2186, 2195, 2197, 2199, 2210], "28202": 2265, "28204": 2251, "28210": 2251, "28235": 2277, "282378": 2207, "282386": 2191, "28247": 2265, "28250": 2265, "28256": 2271, "28257": 2265, "28268": 2265, "282696": 2184, "28277": [2265, 2298], "282782": [15, 2191], "28279": 2265, "28282": 2265, "28283": [2277, 2283, 2289, 2294, 2298, 2302], "28286": 2265, "282863": [16, 17, 18, 19, 2184, 2185, 2191, 2193, 2195, 2197, 2199, 2202, 2204, 2206, 2208, 2210, 2214, 2215, 2216, 2218, 2220, 2225, 2231, 2235, 2241, 2260], "2828633443286633": [2186, 2191], "28289": 2265, "2829": [2184, 2186, 2191], "282978": [2166, 2218, 2229], "28299": 2265, "283": [16, 17, 18, 19, 2186, 2195, 2197, 2199, 2210, 2231, 2235], "28301": 2265, "28303": 2277, "28306": 2271, "28315": 2265, "283157": 2186, "28317": 2265, "283199": 2207, "28323": 2265, "28326": 2265, "28329": 2283, "2833": [24, 25, 28, 29, 32], "28330": 2271, "28337": 2265, "28341": 2265, "283572": 2207, "28358": 2265, "283627": 2229, "28368": 2265, "2837": 2216, "28375": 2271, "28383": 2265, "28385": 2298, "28394": 2277, "284": [16, 17, 18, 19, 2186, 2197, 2199, 2210, 2235], "28406": 2265, "28410": 2265, "28425": 2265, "28426": 2265, "28427": 2265, "284319": 2202, "2846": 2185, "284634": 2185, "28469": 2265, "2847": 2185, "28475": 2265, "284770": 2207, "28479": 2265, "2848": 2185, "28481": 2277, "28486": 2277, "28488": 2277, "28492": 2265, "285": [16, 17, 18, 19, 2186, 2197, 2199, 2210, 2235], "28501": 2277, "28507": 2277, "28512": 2265, "28518": 2265, "2852": [2185, 2217], "285277": 2207, "285296": 2220, "2853": 2185, "28530": 2265, "2854": 2185, "28556": 2283, "285569": 2207, "28557": 2265, "285737": 2207, "285805": 2207, "28584": 2271, "286": [16, 17, 18, 19, 27, 2186, 2197, 2199, 2210, 2235, 2255], "286094": 2207, "28619": 2265, "28621": [2265, 2298], "28631": 2251, "28652": 2265, "286539": 2210, "28663": 2265, "28664": 2265, "28668": 2265, "28669": 2265, "28678": 2251, "286879": 2218, "28690": 2283, "28699": 2265, "287": [16, 17, 18, 19, 2186, 2197, 2199, 2210, 2235], "28735": 2265, "28741": 2265, "287456": 2207, "28759": 2277, "28766": 2265, "28769": 2265, "287725": 2185, "28779": 2265, "28787": 2265, "28791": 2265, "28795": 2265, "288": [2186, 2194, 2197, 2199, 2210, 2222, 2257], "28805": 2265, "288098": 2207, "2881": 2238, "288112": 2186, "28814": 2265, "288256": 2207, "288374": 2207, "288377": 2235, "28839": 2265, "2884": 2202, "28840": 2251, "288473": 2207, "288504": 2199, "28867": 2277, "28869": 2265, "28870": 2265, "288725": 2207, "28882": 2252, "288911": 2207, "288977": 2207, "289": [16, 17, 18, 19, 2186, 2197, 2199, 2210, 2235, 2255], "289092": 2230, "28917": 2271, "289216": 2207, "2893": 2217, "28930": 2265, "289388": 2186, "289409": 2207, "28949": 2277, "28956": 2265, "28969": 2265, "28984": 2289, "28987": 2265, "289997": [2191, 2197], "28statist": 1457, "28t00": 2294, "28t01": 2294, "28t02": 2294, "29": [15, 17, 18, 19, 22, 28, 29, 36, 207, 213, 233, 278, 282, 313, 331, 517, 519, 547, 548, 549, 649, 650, 651, 666, 686, 781, 788, 904, 1274, 1336, 1344, 1437, 1438, 1439, 1457, 1524, 1560, 1637, 1720, 1815, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2213, 2216, 2217, 2218, 2219, 2220, 2222, 2223, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2271, 2274, 2277, 2283, 2287, 2289, 2292, 2293, 2294, 2298, 2301, 2302, 2307], "290": [81, 2186, 2197, 2199, 2210], "2900": 2185, "290018": 2207, "290098": 15, "2901": 2185, "2902": 2185, "290213": [2184, 2195, 2214], "2903": 2185, "2904": 2185, "29042": 2283, "29054": 2277, "29055": 2271, "2906": 2185, "29062": 2265, "29069": 2265, "2907": 2185, "29072": 2283, "290720": 2235, "2908": [2185, 2222], "2909": 2185, "290936": 2207, "290990": 2207, "290994": [2186, 2212], "291": [2186, 2197, 2199, 2210, 2255], "2910": [2185, 2199], "29102": 2294, "2911": [2185, 2199], "2912": 2199, "29122": 2265, "29128": 2265, "29129": 2289, "2913": 2185, "29130": 2283, "29134": 2265, "29136": 2265, "2914": 2185, "29142": 2265, "29146": 2271, "291519": [2184, 2214], "2917": 1344, "29174": 2265, "2918": 2216, "29189": 2265, "2919": 2216, "292": [2186, 2197, 2199, 2210], "292080": 2199, "29212": 2265, "29235": 2271, "29250": 2265, "29252": 2298, "2926": 2199, "292600": 2207, "292697": 2207, "2927": 2199, "2928": 2199, "2929": 2199, "292952": 2207, "293": [2186, 2197, 2199, 2210, 2231], "2930": 2199, "29305": 2265, "293083": 2210, "2931": 2199, "2932": 2199, "2933": 2199, "293343": 1334, "29335": 2265, "2934": 2199, "293432": 2207, "2935": 2199, "293531": 2195, "2936": [2199, 2249], "293601": 2199, "293786": 2191, "2938": 2199, "29388": 2265, "293906": 2207, "293926": 2204, "294": [2186, 2197, 2199, 2210], "29403": 2265, "29405": 2298, "294122": 2199, "294348": 2199, "294389": 2207, "29442": 2275, "2945": 2191, "2945235902555294": 2257, "294524": [2185, 2197, 2199, 2215, 2257], "29457": [2265, 2298], "2946": 2202, "29460": 2277, "294750": 2220, "29478": 2265, "294842": 2207, "29485": 2277, "2949": 2199, "295": [2186, 2197, 2199, 2210], "295100": 2194, "295181": 2207, "29519500": 2199, "29526": 2265, "29528": 2294, "295327": 15, "29539": 2265, "29555": 2265, "295575": 2215, "29558": 2265, "29563": 2271, "29564": 2289, "29565": 2265, "29570": 2277, "295722": 2235, "29578": 2265, "295968": 2207, "295989": 2197, "296": [514, 516, 2186, 2197, 2199, 2210, 2255], "2960": 2221, "29608": 2265, "29618": 2298, "29623": 2283, "29624": 2265, "296326": 2207, "29641": 2265, "29650": 2265, "29664": 2265, "29684": 2271, "29688": 2294, "297": [2186, 2197, 2199, 2210, 2255], "297019e": 2191, "29718": 2265, "29723": [2265, 2271], "29731": 2298, "29733": 2265, "29742": 2265, "297424": 2207, "29749": 2277, "29750": 2265, "29752": 2265, "29764": 2277, "29766": [2265, 2271], "29773": 2277, "297780": 2197, "29787": 2265, "297879": 2207, "297894": 2207, "2979": 2216, "29791": 2265, "298": [81, 2186, 2197, 2199, 2210, 2227], "29801": 2265, "29812": [2265, 2298], "29820": 2265, "298329": 2197, "29853": 2265, "29857": 2265, "298599": 2186, "29864": 2265, "298649": 2199, "298694": 2210, "298721": 2199, "29879": 2271, "29896": 2271, "299": [2186, 2197, 2199, 2210, 2255], "29910": 2265, "29916": 2271, "29921": 2271, "299269": 2191, "299368": [2185, 2197], "29941": [2271, 2298], "299504": 2186, "29964": 2265, "299674": 2197, "299748": 2204, "29975": 2265, "299860": 2207, "29997": 2265, "29th": [303, 655], "2_item": [71, 580], "2_level_2": [2199, 2217], "2b": 1502, "2bh": [1508, 1526, 1544, 1562, 1581, 1602, 1622, 1639, 1660, 1681, 1702, 1723, 1743, 1761, 1778, 1795, 1817, 1842, 1859, 1879, 1897, 1915, 1932, 1949, 1967, 1984, 2002, 2021, 2039, 2057, 2075, 2092, 2110, 2129, 2147], "2bme": 2210, "2d": [34, 63, 127, 157, 197, 218, 298, 302, 551, 703, 732, 793, 944, 1289, 1395, 1397, 1398, 1403, 1407, 1408, 1409, 1410, 1411, 1413, 1418, 1430, 1463, 2185, 2197, 2205, 2210, 2212, 2228, 2240, 2265, 2271, 2283, 2289, 2302], "2d5h": 2209, "2e": 2230, "2f": [253, 259, 886, 890, 1403, 1404, 1431, 2205, 2206, 2211], "2gb": 2238, "2h": [296, 318, 652, 673, 943, 948, 970, 1118, 1144, 2210, 2230], "2h20min": 2210, "2hz": 1280, "2j": [1118, 2199], "2m": [1447, 2200, 2210], "2min": 345, "2nd": [205, 633, 778, 1470, 2090, 2108, 2197, 2222, 2235], "2px": 2207, "2q": 2238, "2t": 1455, "2to3": [2218, 2253], "2w": 1502, "2x": [2226, 2228, 2256], "2xn": [2211, 2271], "3": [2, 4, 6, 8, 10, 11, 12, 13, 15, 16, 17, 18, 19, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 36, 39, 46, 56, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 77, 78, 79, 82, 83, 84, 85, 86, 88, 89, 91, 92, 93, 94, 95, 96, 97, 98, 99, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 116, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 133, 134, 136, 137, 138, 141, 142, 143, 144, 145, 146, 147, 153, 154, 155, 156, 157, 158, 160, 162, 163, 165, 166, 167, 168, 169, 171, 173, 174, 176, 179, 180, 182, 184, 185, 186, 187, 191, 192, 194, 195, 197, 198, 199, 202, 203, 204, 205, 206, 207, 208, 209, 210, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 237, 240, 241, 242, 243, 244, 248, 249, 250, 254, 255, 256, 257, 259, 261, 262, 263, 264, 265, 267, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 287, 288, 290, 291, 292, 294, 296, 298, 299, 300, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 318, 319, 321, 322, 326, 327, 330, 331, 332, 333, 337, 339, 341, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 358, 361, 363, 364, 367, 370, 371, 372, 375, 376, 377, 380, 382, 383, 385, 386, 387, 389, 390, 392, 393, 394, 395, 396, 397, 398, 399, 401, 404, 405, 406, 407, 408, 409, 411, 412, 414, 415, 416, 419, 420, 421, 422, 424, 425, 426, 427, 429, 432, 434, 435, 436, 437, 440, 445, 455, 459, 461, 462, 463, 469, 473, 475, 477, 483, 486, 490, 491, 492, 496, 497, 499, 501, 519, 524, 532, 540, 547, 548, 549, 551, 557, 562, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 579, 580, 581, 582, 583, 586, 589, 590, 591, 593, 594, 595, 596, 599, 600, 601, 603, 604, 609, 614, 615, 616, 618, 619, 620, 621, 622, 625, 626, 627, 628, 629, 630, 632, 633, 634, 635, 636, 637, 639, 640, 642, 643, 644, 646, 648, 651, 652, 654, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 673, 674, 675, 677, 680, 681, 682, 683, 685, 686, 688, 689, 690, 691, 692, 696, 697, 698, 699, 700, 701, 702, 703, 704, 708, 709, 711, 712, 714, 715, 717, 719, 720, 721, 722, 723, 724, 729, 730, 731, 732, 733, 735, 736, 737, 738, 740, 741, 743, 744, 745, 750, 751, 752, 754, 757, 758, 760, 762, 763, 767, 769, 770, 772, 776, 778, 779, 781, 782, 783, 784, 785, 786, 787, 788, 789, 793, 794, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 812, 813, 815, 816, 817, 819, 820, 821, 823, 824, 827, 828, 830, 833, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 848, 849, 853, 856, 858, 859, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 872, 874, 880, 881, 882, 883, 885, 888, 890, 891, 892, 894, 895, 896, 897, 898, 899, 900, 902, 903, 904, 905, 906, 907, 908, 909, 910, 912, 918, 920, 921, 923, 927, 930, 931, 932, 933, 937, 938, 939, 940, 941, 942, 943, 945, 946, 947, 948, 949, 951, 955, 958, 963, 964, 965, 966, 967, 968, 975, 976, 977, 978, 979, 980, 981, 992, 994, 999, 1009, 1023, 1025, 1032, 1033, 1034, 1035, 1038, 1040, 1041, 1042, 1043, 1044, 1045, 1046, 1048, 1049, 1052, 1053, 1054, 1055, 1057, 1058, 1059, 1060, 1061, 1062, 1063, 1065, 1066, 1067, 1069, 1071, 1072, 1073, 1074, 1075, 1076, 1077, 1078, 1082, 1085, 1086, 1087, 1088, 1089, 1091, 1099, 1100, 1101, 1105, 1106, 1109, 1113, 1117, 1118, 1119, 1121, 1123, 1124, 1127, 1128, 1129, 1135, 1136, 1138, 1140, 1142, 1143, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1155, 1157, 1158, 1159, 1160, 1161, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1173, 1176, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1216, 1217, 1218, 1221, 1222, 1223, 1225, 1226, 1227, 1228, 1231, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1260, 1261, 1262, 1263, 1264, 1265, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1343, 1344, 1345, 1347, 1350, 1359, 1362, 1369, 1375, 1380, 1381, 1384, 1385, 1388, 1389, 1390, 1391, 1393, 1394, 1395, 1396, 1397, 1398, 1399, 1400, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1414, 1415, 1416, 1417, 1419, 1422, 1423, 1424, 1430, 1432, 1433, 1434, 1435, 1436, 1438, 1439, 1440, 1441, 1442, 1443, 1444, 1445, 1446, 1447, 1448, 1449, 1450, 1453, 1454, 1455, 1456, 1458, 1463, 1466, 1467, 1468, 1469, 1470, 1474, 1476, 1478, 1479, 1483, 1486, 1487, 1488, 1489, 1490, 1491, 1493, 1494, 1495, 1496, 1497, 1498, 1499, 1500, 1506, 1508, 1524, 1526, 1544, 1560, 1562, 1581, 1602, 1622, 1639, 1660, 1681, 1702, 1723, 1741, 1743, 1761, 1778, 1793, 1795, 1815, 1817, 1842, 1857, 1859, 1879, 1897, 1915, 1932, 1949, 1967, 1982, 1984, 2000, 2002, 2021, 2036, 2039, 2054, 2057, 2075, 2092, 2108, 2110, 2129, 2147, 2163, 2164, 2165, 2166, 2184, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2196, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2232, 2234, 2235, 2236, 2238, 2239, 2240, 2242, 2243, 2246, 2248, 2249, 2250, 2251, 2254, 2255, 2257, 2263, 2264, 2265, 2267, 2270, 2271, 2276, 2277, 2278, 2279, 2289, 2290, 2294, 2295, 2296, 2306, 2308, 2309], "30": [6, 15, 17, 18, 19, 24, 27, 28, 31, 68, 74, 79, 80, 83, 85, 88, 111, 134, 138, 142, 160, 188, 189, 190, 192, 193, 207, 208, 213, 230, 234, 277, 278, 286, 288, 296, 306, 307, 308, 309, 316, 318, 331, 345, 363, 556, 560, 577, 583, 586, 591, 592, 594, 596, 600, 617, 618, 633, 637, 639, 652, 658, 659, 660, 661, 670, 673, 686, 709, 714, 738, 764, 765, 766, 768, 781, 782, 788, 804, 903, 904, 940, 943, 948, 957, 958, 970, 992, 997, 1014, 1189, 1192, 1250, 1253, 1259, 1264, 1272, 1275, 1286, 1323, 1344, 1392, 1447, 1491, 1498, 1524, 1560, 1620, 1637, 1699, 1720, 1815, 1930, 1947, 2000, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2213, 2216, 2217, 2218, 2219, 2220, 2222, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2262, 2265, 2271, 2277, 2283, 2289, 2292, 2294, 2298], "300": [118, 132, 135, 141, 142, 159, 161, 175, 345, 717, 2186, 2197, 2199, 2200, 2210, 2225, 2230, 2235, 2241, 2255], "3000": [10, 141, 717, 2193], "300000": [1354, 2210], "30003": 2265, "300108": 2207, "30011": 2265, "30017": 2289, "300218": 15, "30050": 2265, "3005000": 918, "30063": 2265, "300647": 2186, "30089": 2265, "3009": 2222, "30091": 2265, "30095": 2265, "301": [207, 781, 2186, 2197, 2199, 2210, 2231, 2255], "30103": 2265, "301038": 15, "30107": 2294, "30114": 2265, "301205": 2207, "301231": 2207, "301234": 2207, "301239": 2210, "301361": 2207, "30139": 2265, "30148": 2265, "301624": [2185, 2197, 2199, 2202], "3016244523": 2199, "30163": 2265, "30164": 2271, "30171": 2265, "30173": 2283, "30175": 2265, "301911": 2199, "30193": 2298, "302": [2186, 2197, 2199, 2207, 2210, 2256], "30200": [2265, 2277], "30208": 2265, "302092": 2195, "30219": 2298, "30225": 2265, "30227": 2265, "30228": 2294, "302303": 2207, "30238": 2265, "30253": 2265, "30270": 2265, "30280": 2265, "302827": 2197, "30288": 2265, "30289": 2265, "30296": [2265, 2298], "303": [2184, 2186, 2197, 2199, 2202, 2205, 2209, 2210, 2222, 2255], "30308": 2265, "303099": 2186, "3032": [2184, 2199, 2205], "30320": 2271, "303202": 2219, "303218": 2207, "30322": 2265, "3033": [2184, 2199, 2205, 2232], "30336": 2265, "30337": 2265, "30338": 2298, "303398": 2186, "3034": [2184, 2199, 2205], "30340": [2265, 2298], "303421": 2202, "303427": 2207, "303456": 2199, "30346": 2271, "30353": 2271, "303834": 2207, "303893": 2186, "30391": 2265, "30399": 2265, "304": [2186, 2197, 2199, 2210], "3040": 2202, "30429": 2271, "304418": 2197, "3046": 2218, "304611": 2197, "30463": 2265, "304662": 2199, "304762": 2207, "30482": 2298, "30484": 2271, "30489": 2298, "305": [2186, 2197, 2199, 2210], "30511": 2271, "305288": 2207, "305384": 2197, "30543": 2271, "30546": 2298, "30562": 2298, "305657": 2207, "30567": 2265, "30568": 2265, "3057": 2220, "305724": 2207, "305736": 2207, "30586265": [182, 760], "30588": 2265, "3059": 2216, "30593": 2265, "306": [2186, 2197, 2199, 2210], "30610": 2265, "306120": 2195, "30615": 2298, "306184": 2207, "30636": 2298, "30642": [2265, 2298], "3066101993807095471566981359501369297504425048828125": 2199, "30667": 2271, "306704": 2199, "306735": 2185, "306796": 2199, "306912": 15, "306996": [15, 2202], "307": [32, 2186, 2197, 2199, 2210], "3070": 2216, "30702": 2298, "307108": 2205, "307135": 2207, "30722": 2265, "30726": 2269, "307380": 2207, "30740": 2265, "30741": 2283, "30745": 2298, "307473": 2186, "3075": 2216, "30758": 2265, "3076": 2216, "307606": 2207, "30763": 2265, "307719": 2207, "307764": 2207, "308": [2186, 2197, 2199, 2210], "308013": 2193, "30806": 2265, "30821": 2265, "30841": 2265, "308611": 2207, "3087": 2257, "30871": 2271, "30876": 2271, "30880": 2271, "308847": [16, 19], "30889": 2265, "308975": 2210, "309": [2186, 2197, 2199, 2201, 2210, 2255], "309040": 2197, "309059": 2197, "30918": 2271, "309210": 2207, "30924": 2271, "30929": 2265, "30936": 2265, "30950": 2271, "309500": 2197, "309508": 2207, "309509": 2207, "309525": 2197, "30958": 2265, "30959": 2265, "309622": 2195, "30967": 2265, "30982": 2271, "30993": 2294, "30am": [84, 595], "30d": [2210, 2271], "30min": [1272, 1275, 2209], "30t": 2222, "30th": 2199, "30x": 2225, "31": [2, 15, 17, 18, 19, 25, 28, 31, 107, 133, 207, 208, 213, 228, 264, 270, 276, 282, 288, 292, 294, 296, 303, 306, 307, 308, 309, 313, 314, 318, 326, 332, 333, 341, 345, 362, 513, 514, 515, 516, 517, 518, 519, 532, 535, 542, 547, 548, 549, 560, 629, 637, 639, 644, 646, 649, 650, 651, 652, 655, 658, 659, 660, 661, 666, 667, 673, 680, 688, 689, 708, 781, 782, 788, 898, 902, 940, 943, 948, 957, 967, 968, 970, 976, 978, 980, 997, 1164, 1192, 1221, 1253, 1271, 1323, 1344, 1487, 1524, 1560, 1699, 1720, 1741, 1793, 1815, 1857, 1947, 2000, 2054, 2145, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2213, 2216, 2217, 2218, 2219, 2221, 2222, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2264, 2265, 2271, 2283, 2289, 2294, 2298, 2302, 2307], "310": [2186, 2197, 2199, 2201, 2210, 2231], "31016": 2271, "31025": [2265, 2298], "310274": 2191, "31043": 2271, "31048": 2277, "310530": 2207, "31064": 2271, "310823": 2207, "3109": [2184, 2199, 2205], "310957": 2230, "31096": 2271, "311": [176, 179, 2186, 2197, 2199, 2201, 2210, 2231], "3110": [2184, 2199, 2205], "3111": [2184, 2199, 2205], "311128": 2191, "31126": 2271, "3113": [2184, 2199, 2205], "31131": 2265, "311389": 2207, "3114": [2184, 2199, 2205], "311464": 2207, "3115": [2184, 2199, 2205], "3116": [2184, 2199, 2205], "3117": [2184, 2199, 2205], "31172": 2271, "3118": [2184, 2199, 2205], "31183": 2266, "311877": 2199, "3119": [2184, 2199, 2205], "312": [2186, 2197, 2199, 2210, 2255], "3120": [2184, 2199, 2205], "31200": 2271, "31204": 2271, "31205": 2266, "3121": [2184, 2199, 2205], "3122": [2184, 2199, 2205], "312403": 2191, "31242": 2277, "31243": 2294, "31251": 2271, "312652": [2220, 2228, 2230], "31269": 2271, "31271": 2271, "31286": 2277, "312868": 2207, "312912": 2195, "31296": 2271, "313": [2186, 2197, 2199, 2201, 2207, 2210, 2255], "31302": [2277, 2298], "313068": 2207, "3131": 203, "3132": 2199, "31325": 2271, "31326": 2283, "31329": 2271, "3133": 2199, "31330": 2277, "31331": 2271, "31333": [2271, 2298], "31338": 2271, "3134": 2199, "31345": 2271, "31354": 2271, "31356": [2194, 2201, 2203, 2283, 2294, 2302, 2307], "31357": 2283, "313584": 2207, "31359": 2265, "3136390": 2220, "31364": 2277, "31368": 2273, "313805": 2207, "31389": 2266, "313939": 2199, "31396": 2271, "314": [2186, 2197, 2199, 2201, 2210], "31401": 2271, "3141": [1109, 2217, 2246], "31413": 2271, "314148": 2191, "31415": 2271, "314159265": 2, "31422": 2277, "314232": [2185, 2191, 2197, 2199, 2204], "3142323796": 2199, "314232e": 2204, "31425": 2271, "314289": 2199, "31437": 2271, "3144": [2202, 2257], "31441": 2266, "31446": 2266, "31447": 2266, "31449": 2266, "31450": 2266, "31457": 2266, "314582": 2230, "31463": 2266, "314635": 2207, "31464": 2271, "31467": 2267, "31469": 2266, "31471": 2266, "31475": 2271, "31485": 2271, "31488": 2271, "3149": [182, 760], "31491": 2266, "31499": 2266, "315": [2186, 2197, 2199, 2201, 2210], "31501": [2197, 2266], "31503": 2267, "31505": 2266, "31507": 2267, "31522": 2266, "31532": 2266, "315356": 1317, "31544": 2271, "315628": 2197, "31569": 2298, "315742": 2207, "31575": 2266, "315811": 1416, "316": [2186, 2197, 2199, 2210, 2257], "316029": 2207, "31615": 2267, "31623": 2267, "316280": 2235, "31630": 2271, "31632": 2267, "316340": 2207, "31644": 2289, "316478": 2220, "31648": 2266, "31649": 2266, "31652": 2271, "31658": 2271, "31670": 2266, "316741": [102, 1158], "31677": 2267, "316836": 2230, "316847": 2207, "316862": 2207, "316938": 2195, "317": [2186, 2197, 2199, 2210], "31710": 2268, "31720": 2267, "31722": 2271, "317240": 2218, "31725": 2298, "31731": 2267, "317441": [2185, 2197, 2199, 2202], "31746": 2271, "31750": 2271, "31751": 2277, "31754": 2267, "31760": 2267, "31772": 2267, "31774": 2267, "31775": 2271, "31777": 2267, "31779": 2267, "3178": 30, "31783": 2271, "31784": 2271, "31785": 2267, "31789": 2267, "317901": 2207, "31793": 2289, "318": [2186, 2197, 2199, 2210], "31802": 2267, "31809": [2271, 2298], "318152": [2220, 2230], "318154": 2191, "31819": 2267, "31840": [2271, 2298], "31847": 2267, "318587": 2197, "318616": 2197, "31867": 2271, "318684": 2207, "31869": 2271, "318720": 2191, "318931": 2197, "31896": 2267, "318d08b2571a": 2186, "319": [2186, 2197, 2199, 2210, 2255], "31905": 2271, "31913": 2298, "3192": 2218, "31920": 2283, "31925": 2267, "31927": 2267, "31929": 2294, "319302": 2207, "31950": 2267, "319519": 2199, "319561": 2235, "319586": 2207, "319802": 2207, "319829": 2207, "31988": 2267, "31991": 2271, "31st": 541, "31t010101": 2210, "31t23": [575, 893, 2186, 2246], "32": [15, 17, 18, 19, 28, 81, 183, 213, 219, 268, 293, 295, 544, 546, 645, 647, 761, 788, 956, 957, 962, 970, 973, 983, 990, 995, 997, 999, 1002, 1006, 1007, 1008, 1009, 1013, 1014, 1018, 1095, 1323, 1394, 1433, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2216, 2217, 2218, 2219, 2220, 2222, 2223, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2265, 2271, 2283, 2287, 2293, 2294, 2298, 2301, 2302], "320": [111, 633, 2186, 2197, 2199, 2206, 2210], "320020": 2207, "320034": 2201, "32013": 2271, "32023": 2271, "3204": 2199, "320422": 2191, "320444": 2207, "3205": 2199, "3206": 2199, "320690": 2191, "32073": 2277, "3208": 2199, "3209": 2199, "321": [2186, 2197, 2199, 2210, 2255], "3210": 2199, "321153": 2195, "321158": 2230, "32117": 2267, "321219": 2191, "32123": 2267, "321243": 2186, "32134": 2298, "321418": 2207, "321434": 2186, "32146": 2267, "3215": 2218, "321604": 2186, "32166": 2267, "32167": 2271, "3217": 2218, "32173": 2271, "32174": 2298, "32194": 2269, "322": [2186, 2197, 2199, 2210], "32207": 2271, "32213": 2267, "32219": 2267, "322262": 2186, "32240": 2271, "32255": 2271, "32259": 2283, "32262": 2283, "32264": 2294, "32265": 2277, "32276": 2271, "32287": 2267, "32289": 2271, "323": [2186, 2197, 2199, 2210], "3230": 2217, "3232": 2249, "3232235777": 2241, "323321": 2197, "32334": 2277, "32346": 2294, "323510": 2207, "32377": [2271, 2274], "32380": [2271, 2298], "32385": 2267, "32392": 2277, "32394": 2271, "32395": [2269, 2271], "324": [2186, 2197, 2199, 2210, 2227, 2235, 2255], "32402": 2271, "324071": 2199, "32408": 2271, "32409": 2269, "32420": 2271, "32423": 2271, "32426": 2271, "32430": 2298, "32432": 2277, "3244": 2219, "32441": 2277, "324444": 2207, "32450": 2271, "32460": 2271, "324659": 2186, "32486": 2269, "32490": 2267, "32493": 2271, "32494": 2271, "324940": 2207, "325": [2186, 2193, 2197, 2199, 2210, 2222, 2227], "32501": 2271, "32503": 2271, "32515": 2271, "32516": 2298, "32526": 2298, "32535": 2271, "32538": 2271, "32543": 2271, "325441": 2218, "325456": 2207, "325539": 2207, "32556": 2289, "32558": 2271, "3256": 2220, "32579": 2271, "32580": 2271, "32581": 2298, "32582": 2271, "325838": 2205, "3259": 2220, "32590": 2277, "32591": [2267, 2298], "32593": 2283, "325963": 2235, "32599": 2271, "326": [29, 2186, 2197, 2199, 2210], "326020": 2207, "32621": 2271, "32624": 2271, "326348": 2207, "32639": [2271, 2298], "32640": 2271, "32650": 2271, "326508": 2186, "32651": 2271, "326593": 2220, "32667": 2271, "32668": 2271, "326687": 15, "32669": 2271, "32670": 2271, "32682": 2271, "32684": 2271, "32685": 2268, "327": [29, 2184, 2186, 2197, 2199, 2205, 2210, 2246, 2255], "32727": 2294, "327364": 2230, "32747": 2271, "32749": 2283, "3275": 2216, "32755": 2271, "32761": 2277, "32762": 2271, "32766": 30, "327710": 2191, "32779": 2271, "32782": 2271, "327863": 2186, "3279": 2199, "32792": 2271, "328": [2184, 2186, 2191, 2197, 2199, 2205, 2210, 2246], "3280": 2199, "32800": 2269, "32803": 2289, "32806": 2271, "32809": 2271, "3281": 2199, "32815": 2271, "328174": 2207, "32821": 2271, "32825": 2271, "32826": 2271, "328334": 2207, "32835": 2289, "32841": 2271, "3285": 2199, "32854": 2271, "32856": 2271, "32858": 2271, "32859": 2283, "3286": 2199, "32861": 2271, "328614": 2186, "32863": 2271, "32865": 2271, "3287": 2199, "32878": 2294, "328794": 2207, "3288": 2199, "328911": 2207, "32894": 2271, "328958": 2207, "32899": 2271, "329": [2184, 2185, 2186, 2197, 2199, 2205, 2210, 2246], "3290": 2199, "32904": 2271, "32905": 2269, "329141": 2207, "329200": 28, "329209": 2197, "329212": 2235, "32922": [2271, 2298], "329359": 2207, "329457": 2207, "32957": 2271, "329583": 2210, "32960": 2283, "32967": 2271, "329821": 2191, "32988": 2269, "32995": 2271, "32b": [271, 899], "32bit": 2231, "32ce785aaa5b": 2197, "33": [2, 15, 17, 18, 19, 68, 101, 134, 230, 341, 345, 577, 804, 957, 997, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2216, 2217, 2218, 2219, 2220, 2222, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2265, 2271, 2283, 2294, 2298, 2302], "330": [196, 617, 771, 2184, 2186, 2197, 2199, 2205, 2210, 2246], "33012": 2269, "33013": 2283, "33015": 2271, "33017": 2271, "33027": 2271, "33041": 2271, "33043": 2289, "33064": 2271, "33069": 2271, "330698": 2207, "330704": 2214, "33071": 2269, "33091": 2298, "33092": 2271, "331": [2184, 2186, 2197, 2199, 2205, 2210, 2246], "331053": 2207, "33113": 2271, "33115": 2269, "331152": 2210, "331279": 2195, "33133": 2271, "33136": 2271, "33141": 2271, "3314582": 2202, "33146": [2197, 2283], "3315": 2202, "331645": 2207, "331650": 2230, "3317": 2218, "33172": 2271, "33173": 2271, "33196": 2271, "331975": 2204, "332": [2184, 2186, 2197, 2199, 2205, 2210, 2246], "33200": 2269, "332030": 2207, "33205": 2289, "33206": 2271, "33215": 2271, "332214": 15, "332258": 2218, "3323": 2220, "332511": 2207, "33253": 2271, "33256": 2269, "33261": 2271, "33288": 2269, "33296": 2271, "333": [15, 1343, 2184, 2186, 2197, 2199, 2204, 2205, 2210, 2246], "33302": 2302, "333109": 15, "33314": 2276, "33315": 2276, "33317": 2271, "33321": 2283, "33327": 2271, "333273": 2207, "333315": 2207, "33333": 2302, "333333": [23, 69, 109, 129, 171, 173, 185, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 1152, 1179, 1186, 1205, 1238, 1247, 1267, 1308, 1320, 1323, 1337, 1454, 2186, 2201, 2277, 2283], "33333333": 1323, "3333333333333333": 914, "333333334": 2209, "33334": 2271, "333363": 2186, "3334": 2218, "3335": 2229, "33355": 2271, "333553": 2207, "33358": 2271, "33360": 2271, "333674": 2207, "333677": 2207, "333740": 2186, "333758": 2193, "333828": 2186, "33385": [2271, 2298], "33388": 2271, "33389": 2271, "333945": 2212, "33396": [2289, 2298], "334": [15, 2186, 2197, 2199, 2207, 2210, 2254], "33401": 2283, "334077": [2230, 2231], "33410": 2271, "3342": 2206, "3342113401317768": 2206, "33422": 2271, "33425": 2271, "33426": 2271, "33433": 2269, "33437": 2272, "33441": 2271, "33442": 2271, "33449": 2283, "33450": 2269, "33452": 2271, "334558": 2207, "33457": 2294, "33463": 2283, "33469": [2289, 2298], "33473": 2271, "33484": 2289, "33494": 2277, "33498": 2271, "334984": 2199, "335": [1433, 2186, 2197, 2199, 2210], "33530": 2277, "33539": 2271, "33548": 2277, "335486": 2207, "335505": 2230, "33552": 2271, "33558": 2283, "33562": 2283, "335664": 2207, "33569": 2269, "335712": 2207, "33573": 2271, "335844": 2199, "33589": 2283, "33594": 2269, "33595": [2271, 2298], "336": [2186, 2197, 2199, 2210], "33600": 2271, "33604": 2271, "336040": 2207, "33607": 2271, "33610": 2271, "336222": 2228, "33623": 2271, "336252": 2199, "3363": 2257, "33634": 2283, "33637": 2298, "33646": 2271, "336505": 2215, "33654": 2271, "33655": 2271, "33660": 2271, "336606": 2199, "33666": 2274, "336667": 2218, "3367": 2222, "33670": 2271, "33671": 2277, "33675": 2273, "33676": 2271, "336913": 2207, "336914": 2197, "336936": 2235, "33699": 2283, "337": [2186, 2197, 2199, 2210, 2231], "337000": [176, 179, 754, 757, 1242, 1243], "337092": 2191, "3371": 2202, "3371217": 2202, "337165": 2207, "33717": 2271, "33718": 2271, "33719": 2283, "337259": 2195, "3374": 2220, "33740": 2271, "33741": 2271, "33748": 2283, "33756": 2271, "337684": 2199, "33770": 2271, "337730": 2215, "33779": 2271, "337863": [2184, 2195, 2214], "33790": 2277, "33795": 2277, "338": [2186, 2197, 2199, 2210, 2257], "33803": 2271, "33814": 2283, "338144": 2186, "33819": 2277, "33820": 2271, "33824": 2271, "338589": 2229, "3386": 2218, "33883": 2271, "339": [2186, 2188, 2197, 2199, 2210], "33904": 2271, "33907": 2298, "3391": 2218, "33916": 2271, "33921": 2271, "339210": 2207, "339218": 15, "33924": 2271, "339283": 2207, "339298e": 2191, "33931": 2289, "339355": [2184, 2214], "33941": 2302, "339412": 2219, "33942": 2302, "339465": 2207, "339554": 2207, "33956": 2271, "33963": 2271, "33966": 2271, "339770": 2195, "33980": 2271, "339846": 2230, "33987": 2277, "339969": [2184, 2214], "33ff85": 1433, "34": [15, 17, 18, 19, 29, 1017, 1403, 1404, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2216, 2217, 2218, 2219, 2220, 2222, 2225, 2226, 2227, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2265, 2271, 2283, 2294, 2298], "340": [2186, 2188, 2191, 2197, 2199, 2210], "34002": 2283, "3401": 2219, "34010": 2269, "3403": 2191, "3403088497993827": 2197, "340309": [2185, 2197, 2199, 2202, 2204, 2215, 2257], "3404": 2232, "340407": 2195, "340429": 2197, "340445": 2214, "34047": 2289, "34050": 2278, "34051": 2271, "34052": 2271, "34061": 2283, "34074": 2271, "34077": 2277, "34088": 2271, "34095": 2271, "341": [2186, 2188, 2197, 2199, 2210, 2255], "3410": 2257, "34100": 30, "34120": 2289, "34129": 2271, "34133": 2307, "34145": 2298, "3415": 2218, "341500": 2207, "34160": 2277, "3417": 2218, "34171": [2271, 2298], "341734": [2185, 2197, 2199, 2202, 2204], "3417343559": 2199, "34178": 2271, "34191": 2271, "34193": 2298, "34195": 2266, "34197": 2294, "342": [2186, 2188, 2197, 2199, 2210, 2257], "342006": 2212, "342054": 2230, "342074": 2207, "34211": 2271, "34224": 2271, "34225": 2277, "342250": 2195, "342365": 2207, "34240": 2277, "342400": 15, "342416": 2197, "34244": 2277, "342474": 2207, "342493": 2207, "3425": 2217, "34252": 2283, "34253": 2271, "34272": 2271, "34274": 2283, "34297": 2271, "343": [2186, 2197, 2199, 2210, 2255], "343054": 2186, "34307": 2277, "34315": 2277, "34316": 2271, "343172": 2230, "34318": 2271, "343197": 2199, "34331": 2271, "34339": 2271, "343401": 2207, "34352": 2271, "34360": 2277, "34392": 2271, "34395": 2271, "344": [2186, 2188, 2197, 2199, 2210], "3440": 2218, "34402": 2271, "3441": 2246, "34411": 2283, "34418": 2298, "34422": 2271, "3443": 2191, "34431": 2271, "344312": [15, 2185, 2186, 2191, 2197, 2199, 2202, 2215, 2216, 2219, 2235, 2241, 2264], "344316": 2199, "344342": 2217, "34440": 2271, "3445": 2225, "34456": 2283, "34457": [2294, 2298], "34463": 2294, "34464": 2271, "34467": 2270, "34479": [2298, 2302], "34483": 2289, "34486": 2271, "34488": 2284, "345": [617, 2186, 2197, 2199, 2210], "34511": 2277, "34520": 2271, "34522": [2271, 2298], "34526": 2271, "34529": 2271, "34530": 2270, "345352": [2185, 2191, 2197, 2199], "3453521949": 2199, "34540": 2271, "345430": 2207, "34548": 2277, "345493": 2207, "3455": 2217, "34556": 2277, "3456": 2225, "345600": 683, "34564": 2271, "345644": 2207, "3457": 2217, "34570": 2271, "34573": 2271, "34580": 2271, "34592": 2271, "346": [2186, 2197, 2199, 2210], "34603": 2277, "346061": [2184, 2195, 2214], "34611": 2271, "34617": 2277, "34621": 2277, "34626": [2199, 2270], "34632": 2270, "34639": 2271, "346426": 2186, "346470": 2210, "34654": 2277, "34655": 2283, "34656": 2277, "34658": 2271, "34666": 2270, "34671": 2302, "34673": 2283, "346771": 2207, "3468": 2217, "346833": 2207, "346940": 2191, "347": [2186, 2193, 2197, 2199, 2210, 2255], "34703": 2271, "347105": 2207, "34717": 2277, "347213": 2185, "34725": 2277, "34731": 2271, "34740": 2271, "34741": 2271, "34746": 2271, "34748": 2271, "347533": 2235, "3477": 2217, "34777": 2277, "3478": 2218, "34784": 2271, "347882": 2207, "34789": 2277, "347912": 2207, "34798": [2271, 2298], "348": [2186, 2197, 2199, 2207, 2210, 2235, 2255], "348038": 2199, "34810": 2298, "34814": 2283, "34816000": 2199, "34832": 2271, "348368": 2184, "34839": 2271, "348407": 2207, "34843": 2271, "3485": 2294, "34850": 2271, "34853": [2271, 2298], "348563": 2207, "34857": 2277, "34859": 2271, "3486": 2236, "34862": [2283, 2298], "34871": 2277, "349": [2186, 2191, 2197, 2199, 2210], "3490": 2221, "34905": 2271, "34916": 2298, "349264": 2207, "34931": 2271, "34932": 2271, "349341": 2207, "34946": 2271, "3495": 2217, "34951": 2271, "34966": 2289, "34974": 2307, "349825": 2207, "34986": 2298, "349893": 2185, "3499": 2217, "34994": 2271, "34998": 2298, "35": [15, 17, 18, 19, 23, 25, 27, 133, 142, 160, 190, 193, 208, 213, 345, 708, 738, 766, 768, 782, 788, 823, 953, 957, 997, 1323, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2216, 2217, 2218, 2219, 2220, 2222, 2225, 2226, 2227, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2265, 2271, 2283, 2294, 2298], "350": [134, 268, 271, 709, 899, 1259, 1264, 1485, 2186, 2197, 2199, 2210], "35003": 2298, "35014": 2277, "35028": 2277, "35038": 2271, "35046": 2277, "35058": 2277, "350621": 2207, "3507": 2202, "35076": 2283, "351": [2186, 2197, 2199, 2210], "35109": 2271, "35114": 2271, "35131": 2289, "35132": 2294, "351389": 2199, "35141": 2298, "35144": 2277, "35164": 2271, "35185": 2283, "35190": 2271, "35194": 2271, "352": [283, 910, 2186, 2197, 2199, 2210], "352051": 2186, "352064": 2207, "35211": 2283, "352134": 15, "35214": 2277, "35217": 2271, "35219": 2277, "352192": 2186, "35224": [2277, 2298], "35246": 2271, "352480": 2197, "35267": 2277, "35269": 2277, "35281": 2277, "352933": 2210, "35296": 2298, "35297": 2277, "353": [2186, 2197, 2199, 2210], "35301": 2277, "353091": 2207, "353094": 2191, "35325": 2277, "353266": 2207, "353310": 2197, "353383": 2207, "35340": 2283, "35349": 2283, "35365": 2277, "353713": 2191, "35374": 2271, "35376": 2274, "353795": 2207, "35382": 2277, "35392": 2289, "353925": 2191, "354": [2186, 2197, 2199, 2210, 2298], "35407": [2289, 2298], "35416": 2283, "3542": [2186, 2227], "354342": 2207, "354360": 2207, "35439": 2272, "35446": 2272, "354493": 2235, "35450": 2283, "35455": 2272, "35460": 2273, "35462": 2272, "35471": 2273, "35486": 2272, "35488": 2272, "35490": 2272, "35493": 2272, "35499": 2272, "355": [2186, 2197, 2199, 2210, 2255, 2298], "35509": 2275, "355203": 2207, "35521": 2273, "35529": 2277, "35534": 2274, "355392": 2186, "35542": 2277, "35544": 2272, "35545": 2294, "35549": 2272, "35552": 2272, "355569": 2207, "35557": 2272, "35558": 2272, "35559": 2272, "35563": 2276, "35566": 2277, "35574": 2272, "35579": 2277, "35584": 2277, "35588": 2272, "35596": 2277, "35598": 2272, "356": [78, 162, 2186, 2197, 2199, 2210, 2298], "35606": 2272, "35607": 2277, "3561": 2217, "35612": 2283, "35614": 2277, "3562": 2217, "35625": 2277, "35626": [2277, 2298], "356362": 2207, "35646": 2277, "35655": 2277, "35657": 2272, "35658": 2273, "35663": 2272, "35667": 2273, "356676": 2207, "35677": 2277, "35679": 2277, "35680": 2272, "35683": 2273, "35684": 2273, "35685": 13, "35690": 2277, "356998400": 2199, "357": [1259, 2186, 2191, 2197, 2199, 2210, 2255, 2298], "35700": 2274, "357021": [2185, 2197, 2199, 2215, 2218, 2219], "357096": 2230, "3571": 2217, "35712": 2273, "35715": 2272, "35719": 2277, "3572": 2217, "35728": 2277, "35731": 2273, "35741": 2277, "357422": 2186, "357427": [2185, 2197, 2199, 2202], "35744": 2277, "35747": 2274, "357579": 2197, "35759": 2277, "35762": 2273, "357661": 2207, "3577": [2193, 2218], "3578": 2220, "357817": 2230, "3578760": [2199, 2294], "3578761": [2199, 2294], "3578762": [2199, 2294], "3578763": [2199, 2294], "3578764": [2199, 2294], "3578765": [2199, 2294], "35788": 2273, "35792": 2275, "35794": 2273, "358": [69, 109, 129, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 2186, 2197, 2199, 2210, 2298], "35802": 2274, "35811": 2277, "3582": 2217, "35826": 2283, "35843": 2276, "35847": 2277, "35849": 2298, "35853": [2277, 2298], "35858": 2274, "35869": 2277, "35873": 2283, "35876": 2273, "35878": 2273, "35882": 2273, "35889": 2277, "35897": 2274, "359": [69, 109, 129, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 2186, 2197, 2199, 2207, 2210, 2255, 2298], "3590": 2217, "35923": 2283, "359235": 2207, "359261": 2191, "359284": 2195, "359299": 2191, "35931": 2273, "35937": 2277, "35940": 2274, "359414837200037393": 2298, "35945": 2273, "35948": 2273, "359576": 2207, "35958": 2274, "359598": 2207, "3596": 2217, "35965": 2277, "35973": 2277, "35977": 2283, "359782": 2199, "359790": 2207, "35992": 2277, "35997": 2277, "36": [15, 17, 18, 19, 69, 108, 109, 129, 160, 171, 173, 199, 204, 206, 213, 215, 216, 217, 220, 221, 222, 244, 275, 278, 331, 345, 686, 738, 788, 904, 1323, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2216, 2217, 2218, 2219, 2220, 2222, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2265, 2271, 2283, 2294, 2298, 2302], "360": [69, 109, 129, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 272, 275, 1487, 2186, 2197, 2199, 2210, 2255, 2283, 2298], "3600": [930, 938, 969, 1020, 2225], "36003": 2276, "36004": 2277, "36014": 2273, "360173": 2191, "36018": 2273, "3602": 2217, "360241": 2207, "360253": 2207, "36031": 2277, "36032": 2273, "3604": 2218, "36040": 2277, "360403": 2207, "36044": 2273, "36045": 2277, "36047": 2274, "360481": 2219, "3605": 2217, "360526": 2207, "360575": 2191, "360588": 2186, "3606": 2217, "36063": 2274, "36076": 2277, "361": [69, 109, 129, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 268, 271, 275, 899, 1485, 2186, 2197, 2199, 2210, 2249, 2255, 2298], "361078": 2214, "36113": 2277, "36122": 2274, "361288": 2207, "36131": [2283, 2298], "361428": 2199, "36148": [2277, 2294, 2298], "36153": 2298, "36159": 2277, "3616": 2217, "361719": 2197, "361733": 2207, "36176": 2277, "36179": [2277, 2298], "36189": 2274, "36197": 2273, "362": [1193, 1254, 2186, 2197, 2199, 2210, 2255, 2298], "36204": 2277, "36210": 2277, "36212": 2277, "362228": 2210, "36226": 30, "36240": 2277, "36241": 2274, "3625": 2191, "36254": 2277, "362543": [2185, 2197, 2199, 2202, 2204, 2215, 2257], "36261": 2277, "36267": 2277, "36271": 2289, "362796": 2207, "362814": 2199, "362838": [1148, 1149], "36289": 2283, "36291": 2274, "36293": 2283, "36294": 2274, "362949": [2184, 2195, 2214], "36296": 2274, "363": [2186, 2197, 2199, 2210, 2249, 2255, 2298], "36304": 2277, "36308": 2277, "363098": 2207, "3631": 2217, "36310": 2277, "36317": 2277, "36319": 2277, "36325": 2277, "36327": 2298, "36343": 2277, "36345": 2277, "36346": 2277, "363482": 2220, "36353": 2274, "363552": 2207, "363560": 2207, "363565": 2235, "36359": 2277, "36360": 2277, "363636x0": 2195, "36373": 2275, "36377": 2274, "363777": 2199, "3638": 2217, "363825": 2210, "36383": 2274, "36384": 2277, "364": [2186, 2197, 2199, 2209, 2210, 2249, 2255, 2298], "364034": 2230, "36418": 2298, "36419": 2289, "36430": 2274, "36432": 2277, "36451": 2274, "364628": 2207, "364886": 2230, "36495": 2276, "365": [303, 445, 514, 516, 544, 546, 655, 923, 2186, 2191, 2195, 2197, 2199, 2205, 2209, 2210, 2249], "3650": 2218, "36525": 2277, "36526": 2274, "36527": 2274, "36530": 2277, "36541": 2277, "3656": 2217, "36562": 2277, "36564": 2277, "36566": 2283, "36567": 2277, "365819": 2210, "36583": 2277, "36589": 2289, "3659": 2217, "36596": 2283, "366": [303, 514, 516, 532, 544, 546, 655, 2186, 2197, 2199, 2209, 2210, 2298], "36603": 2274, "36611": 2277, "366110": 2197, "3662": 2220, "36621": 2277, "3663": 2238, "366330": 2195, "36666": 2277, "3667": 2217, "36672": 2225, "36685": [2277, 2298], "36688": 2283, "366920": 2214, "36695": 2298, "36697": 2298, "367": [2186, 2197, 2199, 2209, 2210, 2249], "36702": 2277, "36703": 2302, "36712": 2298, "367219": 2207, "36727": 2275, "367331": 2191, "36738": 2277, "36741": 2275, "36744": 2277, "367459": 2207, "367462": 2207, "3675": 2217, "36757": 2275, "36758": 2277, "3676": 2217, "36760": 2277, "3678": [1433, 2222], "3679": 2217, "36795": 2298, "36799": 2277, "368": [2186, 2197, 2199, 2210, 2255], "3682": [183, 761, 2217], "36838": 2298, "36840": 2277, "36843": 2277, "368449": 2191, "36870": 2277, "368714": 2184, "368824": 2230, "36888": 2277, "36889": 2275, "36893": 2283, "36895": 2277, "369": [2186, 2197, 2199, 2210], "36900": 2298, "36904": 2275, "36907": 2277, "36908": 2277, "369081": 2207, "36909": 2283, "3691": 2217, "36910": 2277, "36913": 2277, "36915": 2276, "36918": 2294, "369208": 2207, "36928": 2275, "369374": 2197, "36940": 2275, "36944": 2289, "36948": 2275, "36951": 2275, "36953": 2275, "369536": 2207, "36955": 2298, "369563": 2207, "3696": 2217, "369650": 2235, "36980": 2277, "36984": 2289, "369849": [2185, 2197, 2199, 2202], "3698493577": 2199, "369894": 2206, "36991": 2283, "37": [15, 17, 18, 19, 139, 140, 213, 230, 345, 788, 804, 1010, 1174, 1175, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2217, 2218, 2219, 2220, 2222, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2265, 2271, 2283, 2298], "370": [3, 134, 709, 1264, 2186, 2197, 2199, 2205, 2210, 2241, 2255], "37001": 2277, "370076": 2230, "370079": 2210, "3702": 2217, "370251": 2230, "370255": 2197, "37037": 2277, "37051": [2277, 2283], "3706": [2186, 2191], "37062": 2283, "370621": 2207, "37064": 2277, "370647": [2185, 2186, 2191, 2197, 2199, 2202, 2204, 2215, 2216, 2218, 2219, 2235, 2241, 2264], "370681": 2207, "370687": 2207, "37094": 2275, "371": [2186, 2197, 2199, 2210], "3710": 2220, "37105": 2277, "37115": 2276, "371182": 2207, "371275": 2204, "3714": 2218, "371454": 2210, "3715": 2235, "37153": 2277, "37156": 2277, "37165": 2277, "371660": 2197, "3717": 2218, "37172": 2283, "37173": 2277, "37174": 2275, "371900": 2186, "37194": 2277, "371983": 2195, "372": [2186, 2197, 2199, 2210, 2219], "372077": 2204, "372171": 2207, "37218": 2277, "37220": 2275, "372216": 2207, "37222": 2298, "37245": 2275, "3726": 2217, "37262": 2277, "37265": 2275, "372667": 2207, "37267": 2275, "37280": 2275, "372851": 2204, "37289": 2277, "3729": 2271, "37290": 2275, "37295": 2276, "37299": 2277, "373": [2186, 2197, 2199, 2210, 2255], "373001": 2191, "37330": 2277, "37343": 2276, "37356": 2277, "37366": 2283, "37367": 2283, "37371": 2277, "37374": 2298, "3738": 2220, "37381": 2277, "373847": 2207, "37392": 2277, "374": [2186, 2193, 2197, 2199, 2210, 2257], "3741": 2217, "37415": 2275, "3742": 2218, "37427": 2275, "374284": 29, "37436": 2277, "374372": 2207, "37441": 2298, "37448": 2277, "37450": 2277, "37454": 2277, "37457": 2277, "3746": 2241, "374767": 2207, "37478": 2277, "37484": 2289, "37486": 2277, "37493": [2283, 2294, 2298], "374961": 2207, "375": [3, 134, 2186, 2197, 2199, 2210, 2227], "37501": 2283, "37506": 2283, "3751": 2269, "37510": 2283, "37517": 2277, "37528": 2277, "375291": 2207, "37541": 2277, "37544": 2277, "37545": [2277, 2298], "37550": 2289, "375636": 2207, "37566": 2277, "375703": 2199, "37591": 2277, "376": [2186, 2197, 2199, 2210, 2255], "37601": [2277, 2298], "37605": 2289, "37609": 2277, "37610": 2277, "37615": 2283, "37621": 2277, "37626": 2277, "37631": 2276, "37635": 2277, "37641": 2276, "37643": [2277, 2283, 2294], "3765": 2218, "37667": 2277, "376750": 2228, "37682": 2283, "377": [2186, 2197, 2199, 2210], "377021": 2207, "37705": 2277, "37711": 2276, "37722": 2277, "377245": 15, "37725": 2277, "377263": 2207, "37733": 2277, "37748": 2277, "37750": 2289, "377535": 2186, "37755": 2276, "37758": 2277, "377642": 2210, "37768": 2277, "3777": [2193, 2218], "37782": 2302, "377887": 2207, "37799": 2277, "378": [2186, 2197, 2199, 2207, 2210, 2231], "3780": 2222, "37804": 2283, "378163": 2207, "37820": 2277, "37821": 2277, "378261": 2218, "37827": 2277, "378298": 2207, "378430": 2207, "378528": 2197, "37867": 2277, "3787": 2228, "37877": [2277, 2298], "378782": 993, "378849": 2191, "37899": 2289, "379": [2186, 2197, 2199, 2210, 2231], "37901": 2277, "37909": 2277, "379098": 2207, "37910": 2276, "37918": 2298, "37932": 2277, "3794": 2220, "37942": 2277, "379495": 2191, "37954": 2277, "3796": 2220, "37968": 2277, "37977": 2277, "37981": 2298, "37982": [2277, 2298], "37983": 2277, "37984": 2277, "37996": 2289, "37999": [2277, 2298], "37ea63d540fd27274cad6585082c91b1283f963d": 1491, "38": [15, 17, 18, 19, 23, 25, 28, 176, 179, 213, 788, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2217, 2218, 2219, 2220, 2222, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2265, 2271, 2283, 2298], "380": [3, 134, 2186, 2197, 2199, 2210], "380204": 2207, "38028": 2277, "38032": 2283, "38038": 2276, "380396": [2185, 2191, 2197, 2202, 2204], "3804": [2185, 2191, 2194, 2217], "38041": 2276, "3805": [2185, 2191, 2194], "38051": 2277, "38053": 2277, "3806": [2185, 2191, 2194], "3807": [2185, 2191, 2194], "38071": 2277, "3808": [2185, 2191, 2194], "380863": [2204, 2257], "380871": 2191, "3809": [2185, 2191, 2194], "38098": 2277, "381": [2186, 2197, 2199, 2210, 2255], "3810": [2185, 2191, 2194], "38100": 2289, "3811": [2185, 2191, 2194], "38111": 2277, "381137": 2207, "381160": 2191, "3812": [2185, 2191, 2194], "38122": 2277, "38125": 2277, "3813": [2185, 2191, 2194], "3813531": 2202, "38136": 2277, "3814": [2185, 2191, 2194, 2202], "381463": 2207, "3815": [2185, 2191, 2194], "3816": [2185, 2191, 2194], "38166": 2277, "38167": 2277, "3817": [2185, 2191, 2194], "38172": 2289, "38178": 2277, "38187": 2277, "38195": 2277, "38197": 2277, "381994": 2197, "382": [16, 17, 18, 19, 2186, 2197, 2199, 2210, 2235], "382141": 2206, "382242": 2199, "38225": 2277, "382263": 2207, "38227": 2277, "38234": 2277, "382459": 2184, "38247": 2277, "38254": 2283, "38268": 2277, "38271": 2277, "38274": 2277, "38278": 2283, "38282": 2277, "38286": 2276, "38292": 2283, "383": [16, 17, 18, 19, 2186, 2197, 2199, 2210, 2235], "3830": 2218, "38303": 2283, "38312": 2298, "383309": [2191, 2199], "38335": 2283, "3834": 2217, "38340": 2283, "38344": 2278, "383442": 2166, "38351": 2283, "38353": 2283, "38367": 2277, "383696": 2207, "38372": 2283, "383784": 2222, "38380": 2283, "38386": 2277, "383981": 2184, "384": [16, 17, 18, 19, 2186, 2197, 2199, 2210, 2235, 2246], "38415": 2283, "384329": 2207, "38433": [2283, 2298], "38439": 2283, "38453": 2289, "38454": 2289, "384724": 2197, "3849": 2218, "384941": 2207, "385": [16, 17, 18, 19, 2186, 2197, 2199, 2210, 2235], "38502": 2283, "385062": 2207, "38516": 2283, "38521": 2283, "38522": 30, "38523": 2283, "38525": 2277, "38527": 2283, "385327": 2214, "38544": 2283, "38549": 2289, "38552": 2283, "38566": 2283, "385684": 2235, "385688": 2186, "385734": 2219, "38575": 2283, "385785": 2186, "38581": 2283, "385845": 2186, "38592": 2284, "38597": 2298, "385974": 2207, "386": [16, 17, 18, 19, 2186, 2197, 2199, 2210, 2235], "3860": 2217, "38601": 2278, "38604": 2283, "38614": 2283, "386186": 2229, "386188": 2184, "3862": 2218, "38622": 2283, "38623": [2283, 2298], "386312": 2204, "38642": 2278, "38645": 2284, "38653": 2283, "3866": 2218, "386657": 2204, "3867": 2217, "386717": 2207, "38672": 2283, "386734": 2207, "386849": 29, "386902": 2207, "3869563279212530728": 2165, "386998": 2207, "387": [16, 17, 18, 19, 2186, 2197, 2199, 2207, 2210, 2235, 2255], "38701": [2294, 2298], "387015": 2235, "38708": 2278, "38709": 2283, "38714": 2278, "38723": 2278, "387275": 2197, "38729": 2283, "3873": 2217, "387327": 2207, "38733": 2283, "38736": 2278, "38740": 2278, "38741": 2283, "38743": 2283, "38749": 2283, "38753": 2278, "3876": 2217, "38760": 2294, "38764": 2283, "38766": 2278, "3877": 2217, "38774": 2278, "38778": 2283, "38780": 2283, "38782": 2283, "38787": 2283, "38788": 2278, "38792": 2283, "387949": 2207, "38798": 2298, "388": [2186, 2197, 2199, 2210], "38801": 2278, "3881": [2202, 2220], "388138": 2210, "3882": 2202, "38831": 2283, "388332": 2216, "38836": [2283, 2298], "38844": 2283, "38845": [2283, 2298], "38851": 2278, "388552400": 2235, "38857": 2283, "38865": 2278, "38878": 2283, "38879": 2283, "388876": 2207, "38895": 2283, "389": [198, 214, 249, 271, 882, 899, 1198, 1202, 1263, 2186, 2195, 2197, 2199, 2210], "38900": 2278, "389056": [273, 900, 2191], "38906": 2283, "38908": 2278, "389108": 28, "38932": 2283, "38934": 2283, "38939": 2283, "38944": [2283, 2298], "38947": 2278, "38955": 2279, "38956": 2279, "38963": [2283, 2298], "38964": 2283, "389643": 2207, "38965": 2283, "38969": 2278, "389765": 2191, "38979": 2278, "38980": 2278, "38989": 2278, "3899": 2218, "389948": 28, "38995": 2283, "389981": 2207, "39": [15, 17, 18, 19, 213, 345, 788, 1010, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2218, 2219, 2220, 2222, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2265, 2271, 2283, 2298], "390": [134, 709, 1259, 1264, 2186, 2197, 2199, 2210], "39001": 2279, "39002": 2279, "39004": 2283, "39007": 2283, "39010": 2278, "390173": 2207, "39022": 2298, "39024": 2278, "39025": 2283, "390389": 2197, "390491": 2186, "39050": 2278, "390625": 2298, "39068": 2283, "3907": 2217, "390779": 2207, "390820": 2197, "39086": 2283, "3909": 2229, "39098": 2302, "391": [2186, 2197, 2199, 2210, 2220], "3910": 2217, "3911": 2217, "39111": 2294, "39116": 2283, "3912": 2217, "39120": 2283, "391214": 2199, "39122": 2302, "39123": 2283, "39126": 2278, "391346": 2199, "39136": 2283, "391365": 2218, "3914": 2217, "39140": 2283, "391427": 15, "39143": 2283, "39147": 2278, "39151": 2278, "39154": 2307, "39164": 2298, "39167": 2289, "39168": 2278, "3917": 2220, "39172": 2283, "391735": 2207, "39181": 2279, "39184": 2278, "39189": 2283, "39196": 2298, "392": [2186, 2197, 2199, 2201, 2210], "39202": 2278, "392053": 2219, "392071": 2197, "39211": 2283, "392133": 2191, "392137": 2207, "392149": 2185, "39216": 2283, "39220": [2283, 2298], "39221": 2283, "39227": 2283, "392365": 2229, "39239": 2298, "39240": 2283, "39244": 2283, "392449": 2204, "39247": [2278, 2279], "39250": 2279, "39258": 2298, "39259": 2278, "39266": 2283, "392662": 15, "39267": 2283, "392670": [2184, 2214], "392704": 2216, "39272": 2289, "39274": 2283, "39276": 2283, "392823": 2207, "392855": 2235, "392940": 2195, "392958": 2207, "393": [2186, 2197, 2199, 2210], "39306": 2283, "39307": 2298, "393160": 2207, "39317": 2283, "39328": [2283, 2294, 2298], "39329": 2279, "393301": 2207, "393322362522515241": 2165, "39336": 2298, "39338": 2281, "393500": 2199, "393534": 2195, "39357": 2283, "393570": 2204, "393581": 2210, "39359": 2283, "39365": 2283, "393806": 2204, "39382": 2283, "39388": 2283, "39390": 30, "39395": 2283, "394": [2186, 2197, 2199, 2210], "39401": 2283, "39402": 2279, "39409": 2283, "39410": 2279, "39412": 2283, "39413": 2289, "394195": 2207, "39422": 2279, "3943": 2222, "39433": 2283, "39434": 2280, "3944": 2289, "394457": 15, "394469": 2195, "39450": 2283, "394534": 2207, "39454": 2283, "39461": 2283, "39462": 2283, "39464": 2283, "39465": 2289, "39474": 2279, "394760": 2207, "39481": 2283, "39488": 2283, "394981": 2186, "395": [2186, 2197, 2199, 2210, 2220, 2227], "3950": [2220, 2221], "395042": 2184, "39510": 2283, "395125": 2257, "39522": 2283, "39528": 2279, "395347": 2199, "395433": [2184, 2214], "395489": 2186, "39554": 2279, "39556": 2283, "39563": 2283, "39574": 2283, "39576": 2279, "39582": 2283, "39584": 2307, "39591": 2283, "39595": 2281, "395985": 2184, "396": [2186, 2197, 2199, 2210, 2255], "3960": 2220, "39614": 2283, "39619": 2283, "396194": 15, "3962": 2228, "39626": 2283, "3963": 2218, "39636": 2279, "3964": 2224, "396437": 2195, "39650": 2283, "39660": 2283, "39664": 2283, "396774": 2218, "396780": [2185, 2197, 2199, 2202], "396823": [2184, 2214], "39695": 2280, "397": [2186, 2197, 2199, 2210], "39701": 2283, "39710": 2283, "39716": 2283, "397191": 15, "39720": 2283, "397203": 2230, "39725": 2283, "397301": 2191, "39732": 2283, "39738": 2281, "39750": 2289, "39755": 2283, "39756": 2283, "39761": 2283, "397628": 2219, "397631": 2207, "39767": [2283, 2298], "39769": 2283, "39784": 2283, "39788": 2283, "397890": 2197, "398": [2186, 2197, 2199, 2210], "398014": 2216, "39805": 2283, "39808": 2283, "398165": 2191, "39817": 2289, "3982": 2217, "39821": 2283, "39823": 2283, "39837": 2281, "3984": 2220, "398417": 2207, "3985": 2217, "39853": 2298, "39872": 2283, "39882": 2283, "39888": 2283, "399": [2186, 2197, 2199, 2210], "3990": 2217, "399073": 2186, "39908": 2283, "39911": 2298, "399260": 2207, "39927": 2283, "39928": 2283, "399295": 2207, "39931": 2280, "399338": 2216, "39934": 2283, "39943": 2280, "3995": 2224, "39952": 2283, "39953": 2283, "3996": 2202, "399603": 2207, "399641": 2199, "39972": 2283, "399732": 2207, "39983": [2283, 2298], "39985": 2280, "39987": 2283, "3_item": [71, 580], "3_level_2": [2199, 2217], "3a": 2208, "3b": [2208, 2210], "3d": [127, 157, 703, 732, 931, 932, 933, 937, 2186, 2210, 2228, 2271], "3em": 2207, "3f": [1433, 2207], "3h": 2232, "3l": 2222, "3m": [2210, 2222], "3me": 1344, "3min": [213, 788, 1192, 1253, 2210], "3n": [1508, 1526, 1544, 1562, 1581, 1602, 1622, 1639, 1660, 1681, 1702, 1723, 1743, 1761, 1778, 1795, 1817, 1842, 1859, 1879, 1897, 1915, 1932, 1949, 1967, 1984, 2002, 2021, 2039, 2057, 2075, 2092, 2110, 2129, 2147], "3rd": [2, 11, 34, 108, 205, 249, 590, 630, 778, 882, 1118, 2186, 2191, 2232, 2246, 2307, 2308, 2310], "3u": 2209, "4": [2, 4, 9, 10, 12, 13, 15, 16, 17, 18, 19, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 35, 50, 58, 59, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 77, 78, 79, 80, 82, 83, 84, 85, 86, 88, 89, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 116, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 136, 138, 141, 144, 145, 146, 147, 152, 153, 154, 155, 156, 157, 158, 160, 162, 163, 164, 167, 168, 169, 170, 171, 172, 173, 174, 179, 180, 182, 184, 185, 186, 190, 191, 193, 194, 195, 196, 197, 199, 202, 203, 204, 205, 206, 209, 210, 212, 213, 215, 216, 217, 218, 220, 221, 222, 223, 224, 226, 228, 229, 231, 232, 233, 234, 235, 238, 240, 241, 244, 245, 248, 250, 252, 254, 255, 256, 257, 258, 261, 262, 263, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 278, 279, 280, 281, 284, 285, 292, 294, 301, 306, 307, 317, 331, 332, 339, 341, 345, 346, 347, 348, 349, 350, 351, 352, 353, 358, 367, 370, 380, 383, 389, 393, 394, 398, 399, 401, 404, 414, 420, 421, 429, 434, 436, 437, 455, 459, 461, 469, 473, 475, 477, 483, 490, 494, 496, 499, 501, 532, 568, 577, 579, 580, 581, 582, 583, 591, 592, 593, 594, 595, 596, 599, 600, 601, 603, 604, 605, 611, 612, 616, 618, 619, 621, 625, 626, 627, 628, 629, 630, 632, 634, 635, 636, 640, 644, 646, 658, 659, 671, 682, 683, 686, 688, 692, 696, 697, 698, 700, 701, 702, 703, 704, 712, 713, 714, 715, 716, 717, 720, 724, 730, 731, 732, 733, 738, 741, 742, 746, 748, 750, 758, 760, 762, 766, 767, 768, 769, 770, 771, 776, 778, 783, 784, 787, 788, 789, 793, 798, 799, 806, 807, 808, 812, 815, 816, 821, 823, 824, 830, 833, 835, 845, 846, 849, 858, 859, 862, 863, 865, 866, 868, 874, 879, 881, 883, 885, 888, 889, 895, 896, 899, 900, 902, 904, 906, 907, 908, 912, 913, 920, 921, 938, 979, 1033, 1034, 1035, 1037, 1044, 1053, 1054, 1061, 1073, 1074, 1075, 1077, 1120, 1127, 1134, 1136, 1138, 1140, 1143, 1145, 1146, 1147, 1148, 1149, 1152, 1153, 1154, 1155, 1156, 1157, 1159, 1160, 1161, 1164, 1165, 1166, 1167, 1168, 1170, 1171, 1172, 1176, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1191, 1192, 1193, 1194, 1195, 1196, 1199, 1200, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1212, 1214, 1216, 1217, 1218, 1221, 1222, 1223, 1225, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1237, 1238, 1239, 1240, 1241, 1244, 1246, 1247, 1248, 1249, 1250, 1252, 1253, 1254, 1255, 1256, 1257, 1260, 1261, 1263, 1265, 1267, 1268, 1269, 1270, 1271, 1273, 1274, 1277, 1278, 1279, 1280, 1282, 1283, 1284, 1285, 1288, 1289, 1290, 1291, 1292, 1294, 1295, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1343, 1344, 1347, 1362, 1365, 1369, 1375, 1384, 1385, 1390, 1391, 1393, 1394, 1395, 1396, 1397, 1398, 1400, 1402, 1403, 1404, 1406, 1407, 1408, 1409, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1424, 1430, 1432, 1433, 1434, 1435, 1436, 1438, 1439, 1440, 1441, 1442, 1443, 1445, 1446, 1447, 1448, 1449, 1450, 1453, 1454, 1458, 1463, 1465, 1466, 1467, 1468, 1469, 1470, 1475, 1476, 1478, 1479, 1486, 1487, 1489, 1490, 1493, 1494, 1496, 1497, 1498, 1500, 1506, 1524, 1741, 1758, 1793, 1815, 1839, 1857, 1982, 2000, 2108, 2166, 2184, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2196, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2240, 2241, 2246, 2247, 2249, 2257, 2260, 2261, 2263, 2264, 2265, 2266, 2267, 2270, 2271, 2277, 2278, 2283, 2294, 2295, 2297, 2298, 2302, 2307], "40": [15, 17, 18, 19, 32, 68, 74, 80, 88, 188, 189, 213, 228, 234, 345, 577, 583, 592, 600, 764, 765, 788, 823, 1264, 1387, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2218, 2219, 2220, 2222, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2265, 2271, 2283, 2298], "400": [15, 141, 212, 280, 303, 586, 655, 717, 787, 1280, 1433, 2186, 2197, 2199, 2200, 2201, 2207, 2210, 2226], "4000": [10, 141, 717], "40000": [168, 1443, 2194, 2199, 2222], "400000": [2195, 2201, 2210, 2214], "40002": 2283, "40004": 2283, "40008": 2283, "40013": 2283, "40014": 2283, "400157": 2207, "40018": 2280, "40024": 2281, "400292": 2207, "40035": 2283, "40044": 2283, "400528": 2186, "40073": 2286, "400863": 2207, "40096": 2283, "40098": 2283, "400m": 1280, "401": [2186, 2199, 2210], "401050": 2186, "40110": [2289, 2294, 2298], "40111": 2289, "401153": 2207, "401155": 2207, "40121": 2283, "401275": 2207, "40134": 2283, "4014": 2218, "40149": 2283, "4016": 2218, "40163": 2283, "40164": 2283, "401668": 2207, "401695": 2207, "4017": 2217, "40176": 2283, "401781": 2199, "40180": 2283, "40193": 2283, "402": [2186, 2199, 2210], "402027": 2207, "40211": 2283, "40226": 2298, "40230": 2283, "40231": 2289, "40242": 2283, "40245": [2283, 2289, 2298], "40255": 2298, "40258": 2283, "4026": 2202, "4028": 2217, "40284": 2283, "402938": 2195, "402985": 2217, "403": [2186, 2199, 2210], "403130": 2257, "40329": 2283, "403309524": 2199, "403310": [15, 2185, 2197, 2199, 2202], "40334": 2283, "4036": 2220, "40363": [2283, 2298], "40371": 2282, "40373": 2283, "40380": 2199, "40386": 2283, "40388": 2283, "4039": [2218, 2241], "40393": 2283, "404": [207, 781, 2184, 2186, 2199, 2210, 2228], "4041": 2220, "40413": 2298, "40420": 2283, "40425": 2283, "40430": [2283, 2298], "40440": 2283, "40442": 2283, "40443": 2298, "40448": 2283, "40450": 2283, "40453": 2283, "404545": 2201, "4047": [2186, 2191], "404705": [15, 2185, 2186, 2191, 2197, 2199, 2202, 2204, 2215, 2216, 2218, 2219, 2235, 2241, 2264], "40484": 2283, "40487": 2283, "404877": 2207, "40493": 2283, "405": [2186, 2199, 2210], "40518": 2283, "4052": [2228, 2230], "4054": 2217, "405453": 2230, "4056": 2220, "405638": 2207, "40571": 2298, "40585": 2283, "40589": 2294, "405906": 2207, "405919": 2195, "406": [2186, 2199, 2210], "4060": 2222, "40606": 2283, "4062": [2193, 2217], "40628": [2283, 2298], "4063": 2217, "406345": 2207, "40638": 2298, "4065": 2218, "40660": 2283, "40662": 2281, "406667": 2201, "40675": 2289, "40682": 2289, "40685": 2302, "40686": 2298, "4069": 2220, "407": [2186, 2199, 2210], "4071": 2217, "40712": 2283, "40722": 2281, "40730": 2283, "40731": 2283, "40732": 2289, "40754": 2289, "4076": 2220, "40767": 2283, "40769": 2283, "407749": 2199, "4078": 2218, "407930": 2207, "408": [1397, 2186, 2199, 2210], "4080": 2218, "40809": 2283, "40810": 2294, "40817": 2289, "408204": [2185, 2197], "40821": 2283, "40830": 2289, "40839": 2294, "408407": 2207, "40841": 2282, "40845": 2283, "40850": 2199, "40851": 2283, "408530": [2184, 2195, 2214], "40855": 2289, "40862": 2283, "40865": 2283, "4088": 2224, "408836": 1299, "408893": 2207, "4089": 2217, "40893": 2302, "40896": 2283, "409": [2186, 2199, 2210], "4090": 2217, "40904": 2283, "40908": 2283, "40912316": [182, 760], "40918": 2283, "4092": 2217, "409204": 2219, "40921": 2283, "409244": 2186, "409257": 2199, "40926": 2283, "409310": 2207, "40935": 2283, "40941": 2283, "409432": 2235, "4095": 2229, "40951": 2283, "40956": [2283, 2289], "409569": 2207, "4096": 2218, "409630": 2207, "409769": 2215, "40978": 2283, "40986": 2282, "40988": 2302, "40989": 2289, "4099": 1776, "40g": 2199, "41": [15, 17, 18, 19, 29, 213, 345, 788, 823, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2217, 2218, 2219, 2220, 2222, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2265, 2271, 2283, 2298], "410": [2186, 2199, 2210], "410001": [2185, 2197, 2199, 2202, 2204], "41010": 2283, "410179": [15, 2185, 2191, 2197], "4102": [2204, 2218], "41021": 2289, "410317": 2199, "410395": 2199, "41040": 2283, "41047": 2289, "41051": 2283, "41053": 2283, "410599": 2207, "41062": 2294, "41069": 2283, "41074": 2282, "410835": [2185, 2197, 2199, 2202, 2215, 2257], "41090": 2302, "41098": 2283, "411": [15, 2186, 2193, 2199, 2207, 2210], "4110": 2219, "411013": 2191, "41108": 2283, "41111": 2283, "41118": 2298, "4112": 2218, "411202": 2199, "41127": 2283, "4113": 2218, "41132": 2283, "41133": 2298, "41137": 2283, "411379": 2207, "411391": 2257, "41142": 2283, "41143": 2283, "41147": 2283, "4115": 2217, "41167": 2283, "41170": [2283, 2298], "41176": 2298, "411951": 2207, "412": [15, 2185, 2186, 2199, 2210], "41215": 2289, "412229": 2207, "41225": 2283, "412276": 2207, "412381": 2207, "412466": 2186, "4125": 2228, "41263": 2283, "412642": 2207, "41267": 2283, "4129": 2197, "41291": 2283, "412912": 2229, "413": [2185, 2186, 2195, 2197, 2199, 2210, 2231], "4130": 2197, "4131": 2197, "41320": 2283, "41325": 2283, "4133": [2197, 2219], "41333": 2283, "413371": 2207, "4134": [2197, 2218], "41342": 2283, "4135": [2197, 2218], "413542": 2185, "41356": 2289, "4136": [2197, 2218], "413681": [2185, 2197, 2199, 2202, 2204, 2215], "413686": 2205, "413688": 2207, "41369": 2283, "4137": [2191, 2197], "41373": 2289, "413738": [2185, 2197, 2199, 2215, 2257], "41373810535784006": 2257, "41378": 2298, "4138": 2197, "413853": 2207, "4139": 2197, "41395": 2289, "414": [15, 2185, 2186, 2199, 2210], "4140": 2197, "41403351": [182, 760], "414034": 2216, "41404": 2283, "414103": 2207, "414132": 2207, "414147": 2199, "414214": [273, 900, 1317, 2211, 2220], "41425": 2283, "41427": 2283, "41429": 2298, "41435": 2289, "4144": 2197, "41441": 2283, "414445": 2205, "41445": 2283, "41448": 2289, "414490": 2191, "4145": 2197, "414503": 2207, "414505": 2235, "4146": 2197, "414635": 2207, "414643": 2207, "41475": 2298, "41480": 2298, "414806": 2186, "41485": [2283, 2289, 2298], "41486": 2298, "41491": 2298, "41492": 2283, "41495": 2298, "41496": 2298, "41497": 2283, "415": [15, 2185, 2186, 2199, 2210], "41504": 2298, "41505": 2298, "41506": 2298, "41508": 2298, "4151": 2197, "41510": 2298, "41511": 2298, "41518": 2289, "4152": [2197, 2217], "41523": 2298, "41526": 2283, "4153": 2197, "415309": 2207, "4154": 2197, "41544": 2294, "41551": 2298, "41555": [2283, 2298], "41556": 2289, "41570": 2298, "41574": 2294, "41575": 2294, "41580": 2298, "41596": 2287, "41598": 2289, "41599": 2283, "416": [2185, 2186, 2199, 2210], "4160": 2235, "41602": 2283, "4161": 2220, "416106": 2207, "41619": 2283, "416201": 2207, "416203": 2186, "4163": 2220, "41634": 2289, "416446": 2207, "41647": 2283, "41653": 2283, "41662": 2298, "41670": 2283, "41673": 2283, "416988": 2191, "41699": 2298, "417": [2185, 2186, 2199, 2210, 2227], "4170": 2218, "41700": 2199, "41707": 2283, "41710": 2294, "417200": 2207, "41731": 2298, "41733": 2298, "41734": [2283, 2298], "41741": 2283, "41743": 2289, "417599": 2207, "41760": 2283, "41770": [2283, 2298], "417752": 2207, "41777": 2283, "41778": 2282, "41779": 2289, "41789": 2298, "41797": 2282, "418": [2186, 2199, 2210], "41812": 2283, "418176": 2207, "41821": 2283, "41828": 2289, "41831": 2283, "41836": 2283, "4184": 2257, "41846": 2283, "418522": 2207, "41866": 2289, "41875": 2283, "41876": 2289, "41885": 2283, "41893": 2289, "41897": 2283, "419": [2186, 2199, 2210], "419074": 2207, "4191": 2238, "41914": 2283, "41915": 2283, "41918": 2283, "41919": 2289, "41927": 2289, "41931": 2289, "41933": 2283, "41934": 2283, "41935": 2292, "41946": 2289, "41951": 2283, "419540": 2197, "4196": 2220, "41965": 2289, "41967": 2289, "41974": 2283, "419814": 2207, "41993": 2289, "41995": 2289, "419977": 2207, "42": [3, 15, 17, 18, 19, 102, 187, 287, 763, 918, 920, 921, 927, 930, 939, 941, 1158, 1462, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2217, 2218, 2219, 2220, 2222, 2225, 2226, 2228, 2230, 2232, 2235, 2238, 2241, 2246, 2249, 2265, 2271, 2283, 2298], "420": [2186, 2199, 2210], "420000": 28, "420018": 2207, "4201": 2218, "42014": 2289, "4202": 2218, "42021": 2289, "420223": 2197, "420266": 2207, "4204": 2218, "42043": 2289, "420446": 2191, "4204804": 2205, "4205": 2265, "42053": 2283, "42055": 2289, "42064": 2294, "420716": 2207, "42092": 2284, "421": [2186, 2199, 2210, 2227], "42101": 2285, "42104": 2283, "421077": 2195, "42113": [2289, 2298], "421201": 2207, "42130": 2290, "421359": 2207, "42137": 2298, "4214": 2217, "42140": 2289, "421422": 2207, "4215": 2217, "4216": 2217, "421655": 2207, "421830": 2219, "42185": 2289, "4219": 2218, "422": [2186, 2199, 2210], "4220": 2218, "422008": 2207, "42201": 2289, "422022": 2207, "422060": 2210, "422064": 2207, "422106": 2207, "42248": 2284, "42259": 2284, "4226": 2217, "422642": 2207, "42269": [2289, 2298], "42273": 2289, "42276": 2294, "422857": 2207, "42287": 2289, "42288": 2298, "4229": 2217, "422986": 2235, "422988": 2207, "423": [2186, 2199, 2210], "4230": 2218, "423040": 2207, "42310": 2289, "423141": 2207, "42320": 2283, "42333": 2286, "423369": 2207, "42345": 2284, "4235": 2218, "42351": [2289, 2298], "42352": 2284, "42353": 2289, "42355": 2284, "42365": 2289, "423655": 2166, "42376": 2289, "423761": 2207, "42380": 2284, "42387": 2285, "42390": 2286, "42395": 2286, "42396": 2284, "424": [2186, 2194, 2199, 2210], "424017": 15, "42405": 2284, "424067": 2207, "424104": 2230, "42425": 2289, "42430": 2285, "424318": 2207, "42433": 2284, "42440": 2289, "42442": 2289, "42446": 2289, "42452": 2289, "42456": 2285, "42458": 2284, "4246": 2217, "42461": 2284, "42462": 2285, "42463": 2289, "42465": 2289, "42476": 2289, "424779": 2207, "42482": 2298, "424844": 2207, "424972": [2184, 2185, 2186, 2191, 2197, 2199, 2202, 2210, 2214, 2215, 2216, 2218, 2225, 2226, 2231, 2241], "425": [2184, 2186, 2191, 2199, 2210, 2256], "42501": 2285, "42505": 2288, "42511": 2289, "42530": [2285, 2289], "42537": [2284, 2285], "42540766452641154071740215577757643572": 2241, "425439": 2222, "425549": 2207, "425662": 2186, "42568": [2192, 2197, 2289, 2298], "42570": 2284, "42579": 2284, "425795": 2235, "425966": 2185, "426": [2186, 2199, 2210], "42600": 2298, "42606": 2289, "42611": 2289, "42613": 2294, "42618": 2284, "42624": 2298, "42626": 2285, "42630": 2298, "42631": 2289, "426469": 2186, "4265": 2217, "42650": 2285, "42651": 2289, "42659": 2288, "426676": 2207, "426679": 2229, "42688": 2289, "426953": 2207, "427": [2186, 2199, 2210, 2298], "42704": 2289, "427117": 2207, "42714": 2285, "42717": 2298, "42719": 2285, "42727": 2285, "4273": 2218, "42731": 2285, "42738": 2289, "42748": 2289, "42753": 2285, "42761": 2290, "42768": 2289, "427681": 2207, "42771": 2285, "4279": 2302, "42794": 2285, "42795": 2294, "428": [2186, 2199, 2210, 2256, 2298], "4280": 2217, "42800": 2289, "428066": 2207, "42808": 2289, "4281": 2217, "42810": 2286, "428117": 2218, "42816": 2285, "4282": 2218, "428229": 2199, "428241": 2197, "42825": [2289, 2298], "42826": 2289, "428316": 2207, "428326": 2214, "428332": 2207, "42834": 2298, "42841": 2289, "42844": 2288, "42849": 2286, "42857": 2289, "428571": 1304, "428572": 15, "428598": 2201, "42866": 2285, "428681": 2229, "42870": 2298, "428702": 2207, "42875": 2289, "428759": 2186, "42878": 2294, "42880": 2289, "42881": 2289, "42883": 2298, "428913": 2229, "428980": 2207, "428984": 2235, "429": [2186, 2199, 2210], "42902": 2302, "42905": 2286, "429065": 2191, "4291": 2218, "429124": 2207, "42915": 2288, "429156": 2199, "429207": 2199, "42921": 2289, "4294": 2218, "4294967296": 2289, "42950": [2199, 2294], "42957": 2289, "429598": 2207, "429622": 2207, "42972": 2289, "4298": 2218, "429809": 28, "429897": 2207, "4299": [2185, 2197], "42992": 2289, "42998": 2289, "43": [15, 17, 19, 27, 68, 242, 283, 577, 817, 910, 926, 987, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2218, 2219, 2220, 2222, 2225, 2226, 2228, 2230, 2232, 2235, 2238, 2241, 2246, 2249, 2265, 2271, 2283, 2294, 2298], "430": [35, 2186, 2199, 2210, 2298], "4300": [2185, 2197], "4301": [2185, 2197, 2218], "43010": 2289, "43016": 2289, "43017": 2289, "43018": 2289, "43025": 2289, "43028": 2289, "4303": [2185, 2218], "430316": 29, "43034": 2289, "43037": 2289, "4304": [2185, 2219], "430489": 2199, "4305": 2218, "430505": 2186, "43059": 2289, "43075": 2286, "43080": 2289, "430860": [2207, 2212], "431": [28, 2186, 2199, 2210, 2298], "43101": 2289, "43102": 2289, "43108": 2286, "431125": 2184, "43115": 2289, "431186": 2199, "4312": 2218, "431256": [2185, 2197, 2199, 2202, 2204, 2215, 2257], "4313": [2191, 2218], "43132": 2287, "43133": 2286, "4314": 2230, "43142": 2289, "43143": 2294, "43144": 2289, "431469": 2195, "43147": 2289, "43149": 2289, "43155": 2235, "431550": 2235, "43160": 2289, "431621": 2184, "4318": 2218, "43182": 30, "43183": 2287, "43185": 2289, "43188": 2289, "431886": 2204, "431977": 2215, "431999": 2218, "432": [2186, 2199, 2210, 2227, 2298], "43201": 2289, "43205": 2286, "43209": 2287, "43212": 2289, "4322": 2218, "43222": 2298, "43223": 2286, "43227": 2289, "43232": 2287, "432390": [2185, 2197, 2202], "43240": 2286, "43242": 2289, "43243": 2289, "43248": 2298, "43265": [2289, 2298], "43267": 2287, "4327": 2230, "432707": [2220, 2228, 2230], "43274": 2286, "4328": 2218, "432893": 2218, "432911": 2199, "432980": 2184, "433": [2186, 2199, 2210, 2298], "4330": 2218, "433000088": 2210, "43305": 2289, "43307": 2289, "43309": 2289, "43311": 2289, "43314": 2287, "43316": 2289, "433281": 2186, "43329": 2288, "433306": 2197, "43332": 2289, "43333": 2289, "43334": 2287, "43335": 2289, "43339": 2287, "43344": 2289, "43346": 2289, "4335": 2218, "433502912": [1498, 2210], "433502913": 2210, "43352": 2289, "43354": 2289, "43355": 2289, "43357": 2287, "43366": 2289, "43368": 2289, "43369": 2289, "43370": 2289, "43371": 2294, "43373": 2286, "43375": 2289, "433754": 2186, "43383": 2289, "433834": 2186, "43386": 2287, "433866e": 2191, "43392": 2289, "43394": 2289, "43396": 2289, "433985": 2230, "434": [2186, 2199, 2210, 2298], "434000": [176, 179, 754, 757, 1242, 1243], "43401": 2286, "434027": 2199, "43404": 2289, "43406": 2289, "434160": 2207, "434191": 2235, "4342": 2220, "43422": 2286, "43424": 2286, "43427": 2298, "4343": 2235, "434350": 2207, "434351": 2229, "43439": 2286, "43442": 2289, "4345": 2218, "43454": 2201, "4346": 2218, "43464": 2289, "43469": 2289, "43476": 2289, "43480": 2289, "434813": 2207, "43485": 2302, "43495": 2289, "435": [2186, 2199, 2210, 2256, 2298], "43500": 2289, "43505": 2289, "43507": 2289, "4351": 2218, "43515": 2289, "435223": 2207, "43523": 2298, "43526": 2289, "43527": 2289, "43528": 2289, "4353": 2218, "43540": 2287, "43544": 2257, "43549": 2287, "43550": 2287, "43558": 2289, "435589": 2214, "43561": 2289, "43563": 2289, "435631": 2195, "43564": 2289, "43567": 2294, "43576": 2289, "435772": 2185, "43578": 2289, "435781": 2207, "435803": 2207, "43587": 2302, "43588": 2287, "4359": 2218, "43591": 2289, "43595": 2289, "436": [2186, 2199, 2210, 2298], "43609": 2289, "43612": 2289, "436173": 2230, "43619": 2289, "4362": 2218, "436466": 2207, "4365": 2218, "43654": 2289, "43659": 2289, "43665": [2289, 2298], "43666": 2289, "4367": 2218, "436723": 2207, "436737": [2185, 2197, 2199, 2202, 2215], "43675": 2289, "43683": 2289, "43686": 2289, "43693": 2294, "436935": 2218, "43694": 2289, "43696": 2289, "43697": 2302, "437": [2186, 2199, 2210, 2256], "4370": 2220, "437003": 2191, "437005e": 2191, "43701": 2289, "43703": 2289, "437048": 2207, "43705": 2289, "43706": 2289, "437072": 2207, "43711": 2289, "43713": 2289, "437189": 2199, "4372": 2218, "43725": 2289, "437274": 2214, "43729": 2287, "43730": 2289, "43731": 2289, "43734": 2289, "43740": [2289, 2298], "4375": 2218, "43758": 2289, "437587": 2166, "437589": 2207, "43764": 2289, "4377": 2218, "437728": 2230, "43777": 2289, "437823": 2210, "43787": 2289, "4379": 2218, "437913": 2197, "43792": 2289, "437932": 2218, "438": [2186, 2199, 2210, 2256], "438074": 2207, "4381": 2218, "438107": 2186, "4382": 2218, "43823": 2289, "43831": 2289, "4384": 2218, "438572": 2195, "4386": 2235, "438609": 2199, "43862": 2289, "43863": 2289, "43864": 2294, "43868": 2289, "43869": 2289, "438713": 2235, "43875": 2294, "43877": 2289, "43881": 2294, "43882": 2289, "43883": 2289, "43885": 2294, "43887": 2289, "438921": 2197, "43899": 2289, "439": [2186, 2199, 2207, 2210], "4390": 2218, "43901": 2289, "43903": 2289, "43904": 2289, "43909": 2289, "4391": [2218, 2241], "43917": 2289, "43923": 2289, "43925": 2289, "43926": 2289, "43927": 2289, "43930": [2289, 2298], "4395": [2197, 2202], "43953": 2289, "4396": 2197, "43962": 2289, "439668": 2207, "43968": 2289, "4397": 2197, "4398": 2197, "43986": 2289, "439872": 2199, "43988": 2289, "439895": 2193, "4399": 2197, "43997": 2289, "43999": 2302, "44": [15, 17, 19, 28, 31, 32, 213, 345, 788, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2218, 2219, 2220, 2222, 2225, 2226, 2228, 2230, 2232, 2235, 2238, 2241, 2246, 2249, 2265, 2271, 2283, 2294], "440": [1363, 2186, 2199, 2210], "4400": 2197, "44008": 2302, "44011": 2289, "44014": 2294, "44019": 2289, "4402": 2218, "44021": 2289, "4403": 2218, "440455": 2197, "4405": 2218, "44051": 2289, "44053": 2289, "44076": 2289, "44079": 2289, "4408": 2218, "44084": 2289, "44085": 2289, "440865": 2207, "4409": 2218, "44091": 2289, "44096": 2289, "44098": 2289, "441": [586, 2186, 2199, 2210], "44100": 2289, "44105": 2289, "44106": 2288, "441075": 2207, "44109": 2289, "441091": 2207, "441153": 2191, "441177": 2228, "441271": 2207, "441559": 2207, "44158": 2289, "441652": [2184, 2195, 2214], "44176": 2289, "44178": 2289, "44179": 2289, "44181": 2289, "44182": 2289, "44190": 2288, "44199": 2294, "442": [2186, 2199, 2210], "44201": 2289, "4421": 2218, "442118": 2207, "44212": [2223, 2289], "442141": 2230, "442166": 2207, "442353": 2186, "442354": 2217, "44236": 2289, "442399": 2207, "44240": 2298, "44241": 2289, "44243": 2298, "442441": 2195, "44247": 2289, "442473": 2207, "442490": 2207, "4426": [2192, 2197], "44261": 2289, "44265": 2289, "4427": [2192, 2197], "44270": 2289, "44276": 2289, "44279": 2302, "4428": [2192, 2197], "4429": [2192, 2197], "443": [2193, 2199, 2210], "4430": [2192, 2197], "44304": 2289, "4431": [2192, 2197], "443110": 2185, "44312": 2289, "44316": 2289, "44322": 2289, "44324": 2294, "4434": 2218, "44345": 2289, "44351": 2288, "44354": 2294, "443568": 29, "44366": 2289, "4437": 2218, "44382": 2289, "443863": 2207, "443982": 2229, "444": [2199, 2207, 2210, 2256], "4440": 2218, "44410": 2294, "44411": 2289, "44414": 2289, "44417": 2289, "44421": 2302, "44424": 2302, "44428": 2289, "444412": 2207, "444449": 2207, "44459": 2289, "4446": 2218, "44460": 2289, "44461": 2289, "44466": 2289, "44470": 2289, "44474": 2289, "44482": 2289, "44498": 2289, "44499": 2289, "445": [2199, 2210, 2249], "44502": 2294, "44507": 2289, "44509": 2289, "44514": 2289, "44522": 2289, "445289": 2197, "44532": 2289, "445437": 2207, "4455": 2218, "44551": 2289, "44564": 2289, "44572": 2289, "44574": 2289, "44575": 2289, "44580": 2289, "44595": 2289, "44597": 2289, "446": [2199, 2210, 2249], "44603": 2294, "44609": 2289, "44616": 2289, "44629": 2298, "4463": 2218, "446531": 2191, "4466": 2222, "446617": 2199, "4467": 2218, "446717": 2199, "44674": 2289, "44685": 2289, "4469": 2197, "44697": 2289, "447": [2199, 2210, 2249], "4470": 2197, "44703": 2289, "44705": 2289, "4471": [2197, 2235], "44710": 2298, "44715": 2289, "4472": 2197, "44720": 2294, "4473": 2197, "447351": 2230, "4474": 2197, "44746": 2289, "44748": 2289, "44749": 2289, "4475": 2197, "44752": 2289, "44764": 2294, "44766": 2289, "44772": 2289, "44779": 2257, "44787": 2294, "44793": 2289, "448": [2193, 2199, 2210, 2249], "4480": 2218, "44802": 2294, "44818": 2289, "4482": 2218, "44821": 2289, "44826": 2289, "4486": 2218, "44862": 2289, "44864": 2289, "44873": 2289, "4488": 2218, "448851": 2195, "44891": 2289, "44896": 2298, "448992": 2207, "449": [2199, 2210, 2249], "44900": 2289, "449092": 2191, "4491": 2219, "44914": 2294, "44916": 2289, "44917": 2298, "44923": 2298, "44924": 2289, "44929": [2289, 2298], "44930": 2289, "44939": 2289, "4494": 2218, "44940": 2289, "44952": 2302, "44955": 2289, "449567": 2235, "4496": 2218, "449644": 2214, "44965": 2294, "449695": 2214, "44977": 2294, "44978": 2289, "449784": 2207, "4498": 2218, "45": [17, 18, 19, 26, 27, 31, 88, 91, 111, 213, 230, 259, 345, 600, 633, 788, 804, 890, 1154, 1272, 1275, 1286, 1433, 1458, 1498, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2218, 2220, 2222, 2226, 2228, 2230, 2232, 2235, 2238, 2241, 2246, 2249, 2265, 2271, 2283], "450": [2199, 2210, 2249], "4500": 24, "450000": 2212, "45018": 2298, "450185": 2207, "45032": 2289, "45033": 2298, "45034": 2294, "45036": 2289, "45038": 2289, "4504": 2218, "4505": 2204, "450520": [2185, 2191, 2197], "45058": 2289, "45061": 2294, "45070": 2294, "45071": [2289, 2298], "45072": 2298, "450753": 2207, "45076": 2298, "45083": [2289, 2298], "45087": 2289, "45089": 2289, "45094": 2289, "451": [2199, 2210, 2249], "45101": 2298, "4511": 2218, "45121": 2289, "45122": 2289, "45128": 2289, "45133": [2289, 2298], "45135": 2289, "451351": 2201, "451376": 2228, "45138": 2289, "451396": 2207, "45144": 2294, "451452": 2207, "45151": 2294, "4516": 2218, "45162": 2294, "45170": 2289, "45174": 2289, "45180": 2289, "451849": 2199, "4519": 2218, "451921": 2207, "452": [2199, 2207, 2210, 2249], "4520": [176, 179, 2218], "452012": 2207, "45218": 2294, "452214": 2199, "45224": 2294, "45227": 2289, "45236": 2294, "452407": 2199, "45241": 2294, "45245": 2294, "4525": 2220, "45255": 2294, "45263": 2289, "4528": 2220, "45289": 2302, "452949": 2191, "453": [2199, 2210, 2249, 2256], "453013": 2219, "45302": 2298, "45307": 2298, "45309": 2294, "45313": 2294, "45316": 2294, "45319": 2294, "4532": 2218, "45321": [2294, 2298], "453210": 2193, "45324": 2297, "45326": 2298, "4533": 2222, "453326": 2207, "45333": 2298, "453372": 2191, "453425": 2235, "45350": 2294, "45357": 2294, "45359": 2294, "45361": 2294, "45362": 2294, "453684": 2207, "453749": [2184, 2214], "45384": 2289, "453846": 2201, "45387": 2294, "454": [28, 2199, 2207, 2210, 2249], "454020": 2207, "45404": 2294, "454118": 2207, "454131": 2197, "45414": 2294, "4542": 28, "454200": 28, "45421": 2294, "45422": [2294, 2298], "45423": 2294, "45424": 2294, "454274": 2207, "45428": 2294, "454366": 2207, "4544": 2218, "45442": 2294, "45451": 2294, "454545": 2210, "45462": 2294, "45463": 2294, "454663": 2207, "4547": 2220, "454750": 2191, "45479": 2294, "4548": 2218, "45481": 2302, "454811": 15, "45484": 2294, "454870": 2186, "45494": 2294, "454980": 2207, "455": [2199, 2210, 2249], "4550": 2218, "45506": 2294, "4551": 2220, "455109": 2207, "455173": 2207, "45523": 2298, "455299": [2205, 2210], "4553": 2220, "4554": 2218, "45546": 2290, "45554": 2290, "45568": 2294, "45572": 2294, "45573": [2294, 2298], "45577": 2294, "4558": 2220, "45580": 2294, "45582": 2294, "45585": 2294, "455893": 2207, "45598": 2294, "456": [833, 2199, 2210], "45601": 2291, "45603": 2290, "45608": 2294, "456086": 2197, "4561": 2218, "45615": 2290, "45618": 2290, "45621": 2290, "45622": 2294, "45637": 2292, "4564": 2218, "45640": 2290, "45643": 2290, "456434": 2185, "45647": 2290, "45648": 2294, "4565": 2220, "45660": 2290, "45661": 2290, "456620": 2207, "456789": 2228, "45681": 2294, "45684": 2290, "45691": 2294, "45694": 2294, "457": [2199, 2210], "457071": 2199, "45708": 2294, "45715": 2294, "45722": 2294, "45725": 2296, "457395": 2207, "45740": 2302, "457407": 2199, "45746": [2294, 2298], "45750": 2294, "4576": 2218, "45768": 2294, "45774": 2294, "45778": 2290, "45779": 2290, "457835": 2207, "457863": 1259, "45791": 2294, "45793": 2294, "45795": 2298, "45796": 2294, "45798": 2294, "458": [2199, 2210], "4580": 2218, "45804": 2290, "45806": 2294, "45809": 2294, "4581": 2232, "45810": 2298, "4582": 2227, "4583": [24, 25], "45836": 2291, "45837": 2294, "45838": 2294, "458383": 15, "4584": 2218, "45844": 2294, "45845": 2294, "45848": 2298, "45854": 2294, "45858": 2293, "45860": 2291, "4588": 2241, "45881": 2294, "45890": 2290, "459": [81, 2197, 2199, 2210, 2231], "45907": 2294, "45908": 2302, "45912": 2290, "4593": 2218, "459365": 2195, "45947": [2294, 2298], "459493": 2207, "45957": 2291, "4596": 2218, "459635": 2207, "45967": 2294, "45981": 2298, "459855": 2207, "45986": [2294, 2298], "45991": 2294, "45999": 2294, "46": [17, 19, 23, 29, 278, 331, 686, 904, 1323, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2218, 2220, 2222, 2226, 2228, 2230, 2232, 2235, 2238, 2241, 2246, 2249, 2265, 2271, 2277, 2283, 2297, 2302], "460": [2199, 2210], "46001": 2294, "4601": 2218, "46015": 2294, "46018": 2291, "46026": 2294, "46037": 2291, "4604": 2218, "46040": 2294, "46044": 2294, "4605": 2218, "4606": 2220, "46061": 2291, "46063": 2294, "460708": 2199, "460710": 2215, "46072": 2298, "46084": 2298, "460858": 2197, "46086": 2294, "46087": 2291, "4609": 2218, "460928": 2207, "460959": 2207, "46096": 2298, "461": [2199, 2210, 2256], "461007": 2197, "461025": 2207, "46109": 2294, "461230": 2207, "46129": 2294, "46134": [2294, 2298], "46135": 2294, "46149": 2291, "46152": 2291, "46156": 2294, "461560": 2207, "461659": 2195, "461706": [2184, 2257], "46173": 2298, "46174": 2294, "46178": 2302, "4618": 2218, "46185": 2294, "46186": 2294, "46188": [2294, 2298], "4619": 2218, "462": [2199, 2210, 2256], "4620": 2218, "46202": 2298, "4621": 2218, "46210": 2294, "46216": 2294, "46218": 2293, "46220": 2294, "46235": 2294, "46240": 2302, "4625": 2218, "46252": 2294, "4626": 2218, "46267": 2298, "46268": 2293, "462696": [2185, 2191, 2197, 2199, 2202], "4626960492": 2199, "4628": 2218, "462824": 2186, "46288": 2294, "462887": 2207, "46297": 2292, "462989": 2207, "463": [2199, 2210, 2256], "46306": 2291, "46312": 2294, "46317": 2291, "46319": 2298, "4633": 2218, "46330": 2294, "463376": 2207, "46357": 2294, "46362": 2298, "463651": 2207, "463652": 2207, "46369": 2294, "4637": 2218, "46379": 2294, "4638": 2218, "46382": 2294, "46383": 2293, "46384": 2291, "46389": 2291, "46396": 2294, "463966": 2207, "46398": 2298, "464": [16, 17, 18, 19, 2186, 2199, 2210, 2235], "46400": 2294, "464000": 2202, "46406": 2293, "46408": 2294, "46425": 2294, "46430": [2294, 2298], "46431": 2294, "46442": 2294, "464469": 2207, "4645": [2199, 2228], "4646": 2199, "46460": 2294, "4647": 2199, "46470": 2298, "46471": 2298, "46476": [2294, 2298], "464776": 2210, "46479": 2294, "4648": [2199, 2218], "464804": 2207, "46485": 2294, "465": [16, 17, 18, 19, 2199, 2210, 2235], "4651": 2218, "46518": [2294, 2298], "46519": 2294, "465222": 2199, "46527": 2294, "46551": 2294, "465520": 2207, "46555": 2294, "46560": 2294, "46569": 2294, "46575": 2294, "465793": 2199, "46580": 2292, "46584": 2294, "46588": 2294, "46589": 2292, "466": [16, 17, 18, 19, 2199, 2210, 2235], "46601": 2294, "466039": 2199, "466122": 2207, "46613": 2294, "46622": 2294, "46634": 2292, "4664": [2186, 2227], "46653": 2294, "46658": 2294, "4667": 2218, "46671": 2293, "46673": 2294, "46675": 2294, "46683": 2292, "46684": 2294, "467": [16, 17, 18, 19, 2199, 2210, 2235], "46702": 2293, "46725": 2294, "467318": 2207, "467327": [2184, 2214], "467408": 2207, "46750": 2294, "46751": 2294, "46754": 2294, "46760": 2294, "46769": 2293, "4678": 2218, "46783": 2294, "4679": 2228, "468": [16, 17, 18, 19, 2199, 2210, 2235, 2241, 2257], "468018": 2220, "468025": 2207, "468040": 2186, "46811": 2294, "46812": 2292, "46826": 2298, "46827": 2294, "46848": 2293, "4686": 2218, "46867": 2292, "46870": 2293, "46877": 2302, "4688": 2221, "46891": 2293, "46896": 2294, "469": [29, 2193, 2199, 2207, 2210, 2220], "4690": 2221, "46900": 2292, "46903": 2294, "46904": 2292, "46906": 2298, "469070": 2207, "4691": [2184, 2186, 2191], "46910": 2294, "469112": [15, 16, 17, 18, 19, 2184, 2185, 2191, 2193, 2195, 2197, 2199, 2202, 2204, 2206, 2208, 2210, 2214, 2215, 2216, 2218, 2220, 2225, 2231, 2235, 2241, 2260], "4691122999071863": [2184, 2186, 2191], "469271": 2212, "469305": 2220, "469359": 2207, "469388": [2185, 2197, 2199, 2215, 2216, 2218, 2219, 2241, 2257], "4694": 2191, "46947": 2294, "469471": 2207, "46955": 2292, "46958": 2294, "469813": 2199, "46984": 2294, "46988": 2292, "46995": 2292, "46997": 2294, "46999": 2294, "47": [17, 19, 213, 345, 788, 924, 985, 1323, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2218, 2220, 2222, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2265, 2271, 2283], "470": [29, 2199, 2210], "47003": 2294, "470054": 2207, "4702": 2218, "47039": 2292, "47053": 2292, "47071": 2293, "47079": 2294, "4708": 2218, "47084": [2292, 2298], "470934": 2191, "470973": 2207, "47099": 2294, "471": [2199, 2210], "47103": 2298, "47105": 2292, "4712": 2228, "47125": 2298, "47127": 2292, "47128": 2292, "4713": [1006, 1498, 2220], "471354": 2207, "47136": 2292, "471410": 2201, "471435": [2220, 2228, 2230], "47154": 2298, "47157": 2298, "471593": 2204, "47172": 2293, "47177": 2298, "4718": 2218, "47188": 2292, "47196": 2294, "471992": 2264, "472": [2191, 2199, 2210], "47203": 2294, "472035": [2185, 2197, 2199, 2202, 2204, 2215, 2257], "47207": 2292, "47209": 2294, "47215": 2294, "47216": 2294, "47244": 2298, "47247": 2294, "47248": 2305, "4726": 2218, "472618": 2191, "47263": 2294, "47266": [2294, 2298], "47267": 2294, "47268": 2294, "4727": 2218, "47276": 2294, "47280": 2298, "47294": 2294, "47296": 2294, "473": [2199, 2210], "473116": 2235, "47328": 2294, "47329": 2294, "47331": 2294, "473349": 2193, "473424": 2202, "47345": 2302, "47348": 2294, "473507": 2230, "47362": 2294, "47371": 2294, "47385": 2293, "474": [2184, 2199, 2205, 2210], "47400": 2294, "47403": 2298, "47404": 2294, "47405": 2298, "474064": 2207, "474071": [15, 2191], "47410": 2294, "47423": 2294, "474468": 2219, "47448": 2298, "47449": 2293, "47450": 2292, "47458": 2294, "4746": 2218, "47477": 2294, "47480": 2298, "47487": 2294, "475": [2184, 2199, 2205, 2210], "47500": [2294, 2298], "47501": 2293, "47521": 2210, "47527": 2294, "475308": 2199, "47538": 2294, "47557": 2294, "47561": 2298, "47563": [2294, 2298], "47566": 2298, "47571": 2298, "47578": 2293, "47579": 2294, "4758": 2218, "47587": 2298, "476": [2184, 2199, 2205, 2210, 2257], "47602": 2294, "476046": 2185, "476111": 15, "47618": 2298, "47628": 2293, "47649": 2293, "47656": 2298, "476640": 2207, "4767": 2218, "476720": 2202, "476841": 2201, "47687": 2298, "476953": 2207, "477": [2199, 2210], "4770": [2218, 2228], "477014": 2207, "47705": 2298, "4771": 2218, "477102": 2207, "47713": 2294, "47718": 2294, "47728": [2294, 2298], "477394": 2207, "4774": 2218, "477441": 2207, "477495": 2207, "47753": 2294, "47761": 2298, "47762": 2293, "47772": 2307, "477769": 2197, "47787": 2294, "477996": 2207, "478": [2184, 2199, 2205, 2210], "47809": 2294, "47812": 2294, "478155": 2207, "47819": 2298, "478240": 2207, "47834": 2298, "47836": 2294, "478369": 2186, "47838": 2294, "4784": [2184, 2186, 2191], "478427": [2184, 2185, 2186, 2191, 2197, 2199, 2202, 2204, 2210, 2214, 2215, 2216, 2219, 2235, 2241, 2264], "47844": [2294, 2298], "4785": 2218, "47851": 2298, "47856": 2294, "478587": 2191, "47862": 2302, "47864": 2294, "47867": 2293, "47880": 2294, "4789": 2218, "478935": 2207, "478942": 2207, "479": [2199, 2210, 2257], "47902": 2294, "47910": 2298, "47912": [2294, 2298], "479195": 2197, "4792": 2235, "479243": 2216, "479287": 2207, "4793": 2232, "47932": 2294, "479399": 2210, "47946": 2293, "479511": 2199, "47953": 2302, "47961": 2302, "47970": 2298, "47978": 2293, "4798": 2218, "479818": 28, "47985": 2295, "47986": 2294, "47987": 2294, "47990": 2257, "48": [15, 17, 19, 29, 139, 140, 183, 188, 189, 213, 230, 345, 761, 764, 765, 788, 804, 1174, 1175, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2218, 2220, 2222, 2223, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2265, 2271, 2283], "480": [2184, 2199, 2205, 2210], "480088": 2197, "480095": 2199, "48024": 2294, "48048": 2298, "480559": 2197, "48064": 2294, "480656": 2210, "48090": 2293, "481": [2184, 2199, 2205, 2210], "481165": 2235, "48124": 2293, "48128": [2294, 2298], "48130": [2294, 2298], "48137": 2298, "481402": 2207, "48152": 2294, "481780": 2201, "48184": 2298, "48190": 2298, "482": [2184, 2197, 2199, 2205, 2210, 2231, 2256], "482106": 2207, "482228": 2207, "48223": 2294, "482360": 2191, "4825": 2218, "48255": 2298, "482644": 2191, "482815": 2195, "48288": 2298, "482909": 2207, "48293": 2298, "48296": 2294, "483": [29, 2199, 2210], "4830": 2218, "48301": 2298, "48304": 2298, "483075": [2184, 2214], "48335": 2298, "48338": 2298, "483399": 2207, "483404": 2207, "483467": 2197, "48347": 2302, "48361": 2298, "48378": 2298, "48379": 2298, "48384": 2298, "483890": 15, "4839": 2218, "484": [2, 29, 2199, 2210], "48406": 2298, "48427": 2294, "484288": 2220, "484363": 2191, "484421e": 2204, "48446": 2298, "484478": 2197, "48459": 2298, "4846": 2218, "48464": 2298, "484779": 2207, "48480": 2295, "48481": 2298, "484907": 586, "484930": 2207, "48495": 2298, "48498": 2298, "485": [2199, 2203, 2210], "48502": 2298, "485026": 2199, "48504": 2298, "48505": 2298, "48509": 2302, "48510": 2298, "485213": 2207, "48526": 2302, "4853": [2218, 2228], "48538": 2298, "485506": 2207, "48567": 2298, "485748": 2230, "48577": 2302, "485855": 2197, "48595": 2298, "485998": 2201, "486": [16, 17, 18, 19, 2199, 2210, 2235], "48604": 2298, "48606": 2298, "48607": 2298, "48608": 2295, "48609": 2298, "48611": 2298, "4862": 2225, "48620": 2295, "48621": 2298, "48622": 2298, "48633": 2298, "48636": 2298, "4864": 2228, "48645": 2213, "48646": 2295, "48649": 2297, "486514": 2197, "48653": 2295, "48656": 2295, "486567": 2186, "48659": 2298, "48665": 2295, "48667": 2295, "48670": 2298, "48673": 2297, "486755": 2207, "4867681": 2202, "48678": 2295, "4868": 2202, "48681": 2298, "48683": 2295, "486899": 2207, "48692": 2295, "487": [2199, 2203, 2210], "48701": 2295, "48706": 2298, "48723": 2298, "48726": 2295, "48733": 2295, "48738": 2295, "48749": 2298, "48752": 2298, "487602": [2185, 2191, 2197, 2199], "48763": 2298, "487645": 15, "48767": 2295, "487702": 2207, "48778": 2295, "48780": 2295, "48784": 2295, "4879": 2218, "48791": 2298, "48794": 2295, "48796": 2298, "488": [16, 17, 18, 19, 2184, 2199, 2203, 2205, 2210, 2235], "48801": 2298, "48812": 2298, "48813": 2298, "488153": 2205, "48818": 2298, "48821": 2298, "48826": 2295, "48833": 2295, "48834": 2298, "4886": 2218, "48863": 2295, "488733": 2207, "48884": 2298, "488887": 2214, "4889": 2289, "488919": 2199, "48893": 2298, "48898": 2298, "488999": 2207, "489": [16, 17, 18, 19, 195, 770, 2184, 2199, 2205, 2210, 2235, 2257], "48900": 2298, "489013": 2207, "48905": 2298, "48911": 2298, "489145": 2207, "4892": [2220, 2230], "48922": 2298, "489266": 2201, "48928": 2298, "4893": 2228, "48933": 2302, "48939": 2298, "48943": 2298, "48944": 2295, "48951": 2298, "48957": 2298, "489603": 2207, "48963": 2298, "489682": 2197, "48975": 2295, "48976": 2298, "489811": 2219, "48996": 2296, "489961": 2207, "489981": 2207, "48e": [2186, 2227], "48hr": 234, "49": [15, 17, 19, 28, 242, 283, 817, 910, 1323, 1433, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2218, 2220, 2222, 2223, 2226, 2228, 2230, 2232, 2235, 2238, 2241, 2246, 2249, 2265, 2271, 2283], "490": [2194, 2199, 2201, 2203, 2210, 2249, 2283, 2294, 2298, 2307], "49008": 2298, "49010": 2298, "49014": 2298, "4902": 2218, "49021": 2298, "49037": 2298, "490482": 2199, "49054": 2295, "490671": 2185, "49068": 2298, "490732": 2229, "49075": 2298, "490865": 2206, "491": [16, 17, 18, 19, 28, 2199, 2210, 2235, 2249, 2298], "49106": 2298, "49108": 2298, "49109": 2298, "49111": 2298, "49121": 2298, "49128": 2298, "49139": 2229, "49148": 2298, "49159": 2298, "49162": 2295, "491708": 29, "49172": 2298, "49176": 2298, "49177": 2298, "49178": 2298, "4918": 2218, "491814": 2201, "491888": 2195, "491906": 2204, "491974": 2199, "492": [16, 17, 18, 19, 2194, 2199, 2201, 2203, 2210, 2232, 2235, 2249, 2257, 2283, 2294, 2298, 2307], "49207": 2297, "492097": 2207, "492125": 15, "49222": 2298, "49223": 2298, "492257": 2207, "49228": 2298, "49230": 2298, "49240": 2298, "49256": 2298, "49277": 2296, "492799": 2207, "4928": 2218, "4929": 2218, "492973": 2207, "49298": 2298, "493": [2194, 2199, 2201, 2203, 2210, 2232, 2249, 2283, 2294, 2298, 2307], "49309": 2298, "493173": 2186, "493246": 2199, "49340": 2298, "49341": 2298, "493537": 2199, "49354": 2298, "49356": 2298, "493593": 2264, "4936": 2218, "493662": [15, 2185, 2197, 2204], "4937": 2218, "49374": 2296, "4939": 2218, "49397": 2298, "493995": 2201, "494": [2199, 2207, 2210, 2249, 2298], "4940": 2218, "494034": 2207, "49404": 2298, "494079": 2207, "49417": 2298, "49420": 2298, "494400": 162, "49441": 2296, "49450": 2298, "494522": 2210, "49467": 2298, "49469": 2298, "494699": 2207, "4947": 2218, "49473": 2298, "49478": 2298, "494789": 2210, "494817": 2204, "494873": 2216, "4949": [2184, 2186], "494922": 2191, "494929": [2184, 2185, 2186, 2191, 2195, 2197, 2199, 2202, 2210, 2214, 2215, 2225, 2241, 2260], "49497": 2298, "495": [2194, 2199, 2201, 2203, 2210, 2249, 2271, 2283, 2294, 2298, 2307], "4950": [2220, 2230], "495050": 27, "49519": 2302, "49521": 2298, "49523": 2298, "49525": 2298, "495291": 15, "4953": 2202, "4953086": 2202, "49558": 2298, "4956": 2218, "495614": 2199, "49565": 2298, "49572": 2298, "495763": 2201, "495767": [2184, 2195, 2214], "49577": 2298, "49579": 2296, "49581": 2298, "49583": 2298, "495931": 2207, "49594": 2298, "495941": 1416, "49596": 2298, "49599": 2298, "496": [2194, 2199, 2201, 2203, 2210, 2249, 2257, 2283, 2294, 2298, 2307], "49603": 2298, "496030": 2207, "49612": [2297, 2302], "49620": 2298, "49631": 2298, "49632": 2298, "49649": 2297, "496599": 2207, "49660": 2298, "49676": 2296, "49684": 2298, "496902": 2207, "497": [2199, 2210, 2249, 2257], "497026": 2207, "497074": 2201, "49714": 2298, "49715": 2298, "49722": 2298, "49732": [2296, 2297], "49737": 2298, "49745": 2298, "49748": 2298, "4975": 2218, "49751": 2296, "49759": 2298, "49769": 2296, "49771": 2297, "497767": 2193, "497796": 2207, "49793": 2298, "49795": 2298, "497968": 2186, "498": [2184, 2199, 2205, 2210, 2249, 2257], "498073": 2207, "4982": 2218, "49824": 2298, "49825": 2298, "49830": 2298, "49834": 2297, "49835": 2298, "49839": 2297, "49842": 2298, "498420": 2207, "49851": 2298, "49861": 2298, "4987": 2225, "4988": 2238, "498861": 2191, "49888": 2300, "49889": 2299, "49890": 2298, "49897": 2298, "499": [2184, 2199, 2205, 2210, 2249], "49907": 2297, "499148": 2207, "49921": 2298, "49922": 2298, "49929": 2298, "4993": 2218, "49944": 2302, "499591": 2185, "4996": 2257, "499614": 2207, "49973": 2298, "499753": 2195, "4999": [2194, 2222], "49997": 2298, "499987": 2207, "49999": 2298, "49e": [2186, 2227], "4d": 2277, "4dx": 2208, "4ecdc4": 1461, "4h": [513, 515, 535, 2214], "4m": 1462, "4pt": 2207, "4q2005": 510, "4th": [2186, 2195, 2199, 2210, 2222, 2225, 2289], "4x": [2228, 2307], "5": [2, 9, 10, 12, 13, 15, 16, 17, 18, 19, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 63, 65, 67, 68, 69, 70, 71, 72, 73, 78, 80, 81, 83, 89, 91, 92, 94, 96, 97, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 116, 120, 121, 126, 129, 134, 136, 137, 139, 140, 141, 144, 145, 146, 148, 149, 151, 153, 155, 156, 160, 162, 163, 165, 166, 167, 169, 171, 173, 176, 177, 178, 180, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 196, 197, 198, 199, 202, 203, 204, 205, 206, 209, 212, 213, 214, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 229, 232, 233, 234, 235, 236, 240, 244, 248, 249, 250, 251, 252, 254, 255, 256, 258, 261, 262, 265, 266, 267, 268, 269, 271, 272, 273, 274, 275, 276, 278, 279, 280, 282, 284, 292, 294, 331, 332, 339, 341, 345, 346, 353, 367, 370, 376, 383, 384, 389, 392, 395, 400, 402, 404, 413, 414, 415, 423, 429, 434, 437, 445, 447, 448, 452, 453, 454, 455, 459, 460, 461, 466, 468, 469, 473, 477, 483, 490, 496, 505, 509, 532, 534, 536, 564, 566, 568, 569, 570, 571, 572, 577, 579, 580, 586, 592, 594, 597, 601, 603, 604, 616, 618, 619, 620, 625, 626, 627, 628, 629, 630, 632, 633, 634, 635, 636, 640, 644, 646, 662, 682, 683, 686, 688, 696, 699, 702, 709, 712, 717, 720, 724, 725, 726, 730, 731, 738, 741, 743, 744, 750, 754, 755, 756, 757, 758, 762, 763, 764, 765, 766, 767, 768, 769, 771, 776, 778, 783, 785, 787, 788, 789, 793, 798, 800, 806, 807, 808, 816, 824, 833, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 849, 863, 864, 868, 877, 881, 882, 883, 884, 888, 889, 895, 896, 899, 900, 902, 904, 907, 912, 918, 923, 938, 953, 957, 963, 965, 970, 997, 1033, 1034, 1036, 1037, 1044, 1051, 1061, 1069, 1071, 1072, 1073, 1075, 1078, 1084, 1103, 1109, 1125, 1126, 1127, 1132, 1133, 1134, 1135, 1136, 1137, 1143, 1147, 1148, 1149, 1150, 1152, 1153, 1155, 1156, 1158, 1159, 1161, 1162, 1163, 1164, 1165, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1209, 1212, 1216, 1218, 1219, 1220, 1221, 1222, 1225, 1226, 1227, 1228, 1229, 1233, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1255, 1256, 1257, 1258, 1260, 1261, 1262, 1263, 1265, 1267, 1268, 1269, 1270, 1272, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1283, 1284, 1288, 1289, 1291, 1292, 1293, 1294, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1306, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1343, 1344, 1347, 1382, 1388, 1389, 1393, 1394, 1395, 1397, 1398, 1400, 1406, 1407, 1410, 1411, 1413, 1415, 1416, 1422, 1430, 1431, 1433, 1434, 1441, 1442, 1445, 1446, 1447, 1448, 1449, 1450, 1451, 1453, 1454, 1458, 1460, 1463, 1465, 1467, 1468, 1469, 1473, 1475, 1476, 1478, 1479, 1480, 1485, 1486, 1487, 1490, 1491, 1493, 1494, 1495, 1496, 1497, 1498, 1500, 1502, 1506, 1508, 1510, 1511, 1513, 1514, 1515, 1516, 1517, 1519, 1524, 1526, 1528, 1529, 1531, 1532, 1533, 1534, 1535, 1537, 1544, 1546, 1547, 1549, 1550, 1551, 1552, 1553, 1556, 1562, 1564, 1565, 1567, 1568, 1569, 1570, 1571, 1574, 1578, 1581, 1584, 1585, 1587, 1588, 1589, 1590, 1591, 1593, 1598, 1602, 1605, 1606, 1608, 1609, 1610, 1611, 1612, 1614, 1622, 1624, 1625, 1627, 1628, 1629, 1630, 1631, 1633, 1639, 1641, 1642, 1644, 1645, 1646, 1647, 1648, 1650, 1657, 1660, 1663, 1664, 1666, 1667, 1668, 1669, 1670, 1672, 1677, 1681, 1684, 1685, 1687, 1688, 1689, 1690, 1691, 1693, 1699, 1702, 1705, 1706, 1708, 1709, 1710, 1711, 1712, 1715, 1720, 1723, 1726, 1727, 1729, 1730, 1731, 1732, 1733, 1736, 1741, 1743, 1745, 1746, 1748, 1749, 1750, 1751, 1752, 1754, 1761, 1763, 1764, 1766, 1767, 1768, 1769, 1770, 1772, 1773, 1778, 1780, 1781, 1783, 1784, 1785, 1786, 1787, 1789, 1793, 1795, 1799, 1800, 1802, 1803, 1804, 1805, 1806, 1808, 1815, 1817, 1821, 1822, 1824, 1825, 1826, 1827, 1828, 1830, 1842, 1844, 1845, 1847, 1848, 1849, 1850, 1851, 1853, 1854, 1857, 1859, 1861, 1862, 1864, 1865, 1866, 1867, 1868, 1870, 1879, 1881, 1882, 1884, 1885, 1886, 1887, 1888, 1890, 1891, 1897, 1899, 1900, 1902, 1903, 1904, 1905, 1906, 1908, 1909, 1915, 1917, 1918, 1920, 1921, 1922, 1923, 1924, 1926, 1927, 1932, 1934, 1935, 1937, 1938, 1939, 1940, 1941, 1943, 1949, 1951, 1952, 1954, 1955, 1956, 1957, 1958, 1960, 1967, 1969, 1970, 1972, 1973, 1974, 1975, 1976, 1978, 1979, 1982, 1984, 1986, 1987, 1989, 1990, 1991, 1992, 1993, 1995, 2000, 2002, 2004, 2005, 2007, 2008, 2009, 2010, 2011, 2013, 2021, 2023, 2024, 2026, 2027, 2028, 2029, 2030, 2032, 2033, 2039, 2041, 2042, 2044, 2045, 2046, 2047, 2048, 2050, 2057, 2059, 2060, 2062, 2063, 2064, 2065, 2066, 2068, 2075, 2077, 2078, 2080, 2081, 2082, 2083, 2084, 2086, 2087, 2092, 2094, 2095, 2097, 2098, 2099, 2100, 2101, 2103, 2108, 2110, 2112, 2113, 2115, 2116, 2117, 2118, 2119, 2121, 2129, 2131, 2132, 2134, 2135, 2136, 2137, 2138, 2141, 2147, 2149, 2150, 2152, 2153, 2154, 2155, 2156, 2159, 2163, 2166, 2184, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2238, 2240, 2241, 2242, 2246, 2249, 2257, 2260, 2261, 2263, 2264, 2265, 2267, 2271, 2275, 2277, 2278, 2279, 2283, 2289, 2298, 2302, 2307], "50": [15, 17, 19, 23, 26, 27, 28, 30, 31, 68, 80, 107, 144, 160, 187, 192, 202, 213, 223, 234, 252, 266, 273, 281, 345, 445, 556, 577, 592, 629, 738, 763, 776, 788, 798, 900, 923, 1011, 1019, 1164, 1190, 1204, 1221, 1251, 1291, 1323, 1336, 1345, 1391, 1433, 1447, 1457, 1460, 1488, 1490, 1498, 1912, 2018, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2218, 2220, 2222, 2226, 2228, 2230, 2232, 2235, 2238, 2241, 2246, 2249, 2257, 2260, 2265, 2271, 2283, 2289, 2294], "500": [65, 80, 192, 280, 592, 923, 1280, 1457, 2184, 2186, 2199, 2200, 2205, 2210, 2211, 2222, 2241, 2249], "5000": [10, 29, 168, 183, 761, 2194, 2222], "50000": [2199, 2215], "500000": [23, 69, 109, 129, 171, 173, 185, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 953, 1179, 1199, 1238, 1260, 1299, 1303, 1308, 1454, 2186, 2199, 2210, 2211, 2214, 2218, 2222, 2230, 2235], "500226": 2207, "50034": 2298, "50036": 2298, "50040": 2298, "50042": 2298, "50051": 2298, "500553": 2195, "500561": 2207, "5006": 2218, "50066": 2297, "50071": 2298, "500742": 2191, "500762": 2207, "50078": 2298, "500802": 2219, "50082": 2298, "50083": 2298, "50085": 2298, "50087": 2298, "50090": 2298, "50096": 2298, "50099": 2298, "500995": 2230, "500m": 1280, "500mb": 1487, "501": [65, 2199, 2210], "501007": 2191, "50102": 2298, "501069": 2207, "50107": 2298, "501219": 2184, "501277": 2216, "501295": 2207, "50140": 2298, "501401": 2257, "5016": 2218, "50161": 2298, "50162": 2298, "501668": 2207, "50183": 2298, "50185": 2298, "501957": 2207, "501979": 2207, "502": [2185, 2199, 2210], "502042": 2199, "502065": 2197, "5021": 2218, "50232": 2298, "50237": 2297, "50243": 2298, "50245": 2298, "50246": 2298, "502476": 2207, "50248": 2298, "50251": 2298, "50254": 2298, "50261": 2298, "50264": 2298, "50266": 2298, "502767": 2217, "50286": 2298, "5029": 2218, "503": [16, 17, 18, 19, 2199, 2210, 2235], "50301": 2298, "50307": 2298, "50308": 2298, "503083": 2230, "50310": 2298, "503211": 2195, "50323": 2298, "50325": 2298, "503311": 2199, "503406": 2207, "50342": 2297, "503443": 2199, "50359": 2298, "50360": 2297, "50361": 2298, "503656": 2207, "50369": 2298, "50370": 2298, "503712": 2207, "503789": 2207, "50395": 2307, "504": 2199, "50405": 2302, "504067": 2207, "50411": 2298, "50413": 2298, "50417": 2298, "504292": 2207, "50430": 2298, "50437": 2298, "50447": 2298, "504472": 2207, "50453": 2298, "50465": 2298, "50467": 2298, "50471": 2298, "5048": 2218, "50482": 2298, "50486": 2298, "505": [16, 17, 18, 19, 2199, 2235], "505089": 2207, "50524": 2298, "50533": 2298, "505430": 2220, "505601": 2186, "50563": 2298, "505723": 2197, "505754": 2195, "50585": 2298, "50587": 2298, "505895": 2195, "506": [16, 17, 18, 19, 2184, 2192, 2199, 2235], "50601": 2298, "50613": 2298, "50616": 2298, "50617": 2302, "506193": 2207, "50620": 2298, "50623": 2298, "506232": 2207, "506295": 2229, "50630": 2297, "50632": 2298, "50634": 2298, "506364": 2199, "50641": 2298, "506416": 2219, "50643": 2298, "50648": 2298, "50658": 2298, "5066": 2218, "50667": 2298, "506674": 2207, "50668": 2298, "50681": 2297, "50684": 2302, "507": [16, 17, 18, 19, 2192, 2199, 2235], "5070": 2218, "507027": 2186, "5071": 2241, "50712": 2298, "507295": 2191, "50735": 2298, "5074": 2218, "50758": 2298, "507593": 2207, "50777": 2298, "5078": 2246, "50791": 2298, "50795": 2298, "50797": 2298, "508": [16, 17, 18, 19, 2184, 2192, 2199, 2205, 2235], "5080": 2222, "50803": 2298, "50806": 2298, "50829": 2298, "5083": 2192, "508338": 2207, "50838": 2298, "50840": 2298, "5085": 2192, "5086": 2192, "50863": 2298, "5087": 2192, "50870": 2298, "5088": 2192, "50887": 2302, "5089": 2192, "508908": 2207, "509": [16, 17, 18, 19, 2184, 2192, 2197, 2199, 2205, 2231, 2235], "5090": 2192, "509058": 2216, "5090585031735124": [2186, 2191], "509059": [15, 16, 17, 18, 19, 2184, 2185, 2191, 2193, 2195, 2197, 2199, 2202, 2204, 2208, 2210, 2214, 2215, 2218, 2220, 2225, 2231, 2235, 2241, 2260], "509067": 2210, "5091": [2184, 2186, 2191, 2192], "509184": 2206, "5092": 2192, "50926": 2298, "5093": 2192, "509311": 2207, "509360": 2191, "50937": 2298, "5094": 2192, "509406": 2207, "5095": 2192, "50954": 2298, "509555": 2191, "5096": 2192, "509652": 2207, "5097": 2192, "50972": 2298, "50974": 2298, "50975": 2302, "50977": 2298, "5098": 2192, "50982": 2298, "509824": 2191, "50984": 2298, "50990": 2307, "50996": 2298, "50th": [107, 629, 1164, 1221], "50x": 2192, "51": [5, 17, 19, 24, 25, 30, 32, 139, 140, 213, 345, 718, 788, 1174, 1175, 1323, 1447, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2218, 2220, 2222, 2223, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2265, 2271, 2283], "510": [2184, 2199, 2205], "510158": 2207, "5102": 2218, "5103": 2218, "51032": 2298, "51034": 2298, "5104": 2222, "51040": 2298, "51045": 2302, "51046": 2302, "510470": 2230, "51050": 2298, "51053": 2298, "51054": 2298, "510714": 2218, "51073": 2298, "51076": 2298, "510805": 2207, "51084": 2298, "51090": 2298, "51092": 2298, "51098": 2298, "51099": 2302, "511": [2184, 2199, 2205], "51101": 2298, "511055": 2207, "51111198": [624, 1215], "51152": 2298, "51158": 2302, "51162": 2298, "51167": 2298, "511763": [2184, 2195, 2214], "511806": 2207, "51182": 2298, "51183": 2298, "51186": 2298, "511885": [1199, 1260], "51197": 2298, "512": [28, 2184, 2199, 2205], "51203": 2302, "512043": 2207, "51205": 2298, "51206": 2298, "5121": 2218, "51223": 2298, "51227": 2298, "51228": 2298, "5123": 2218, "51239": 2298, "51242": 2298, "512461": 2191, "5125": 2218, "51254": 2302, "51258": 2298, "512743": 2193, "51276": 2302, "5129": 2220, "51299": 2298, "513": 2199, "51302": 2298, "51316": 2298, "51349": 2298, "513520": 2207, "51353": 2302, "5136": [2192, 2197], "513600": 2207, "51363": 2307, "51365": 2298, "5137": [2192, 2197], "51373": 2298, "5138": [2192, 2197], "51397": 2298, "513979": 2207, "514": [1444, 2194, 2199, 2201, 2203, 2283, 2294, 2307], "51413": 2298, "51422": 2302, "51423": 2302, "51424": 2302, "5143": 2218, "51443": 2298, "514474": 2210, "51449": 2302, "51450": 2298, "51459": 2302, "51462": 2298, "514704": 2185, "51472": 2302, "514808": 2207, "51494": 2302, "515": [2194, 2199, 2201, 2203, 2283, 2294, 2307], "5150": 2218, "51501": 2307, "515018": 2235, "515031": 2207, "5151": [2192, 2197], "515189": 2207, "5152": [2192, 2197], "51521": 2302, "5153": [2192, 2197], "51539": 2302, "5154": [2192, 2197], "51541": 2298, "51546": 2302, "51548": 2298, "51549": 2302, "5155": [2192, 2197, 2222], "5156": [2192, 2197, 2218], "5157": [2192, 2197], "51574": 2302, "51575": 2302, "5158": [2192, 2197], "51583": 2298, "5159": [2192, 2197], "516": [2194, 2199, 2201, 2203, 2283, 2294, 2307], "5160": [2192, 2197], "51609": 2302, "5161": [2192, 2197], "51612": 2302, "516278": 2207, "51629": 2302, "51630": 2302, "51635": 2302, "5164": 2218, "516433": 2199, "51644": 2302, "51645": 2302, "5167": [29, 2289], "5168": 2241, "516826": 2207, "51684": 2302, "516842": 18, "51688": 2298, "517": [5, 2191, 2199, 2206], "51701": 2302, "517098": 2195, "517105": 2207, "51718": 2302, "5172": 2225, "51722": 2302, "51727": 2302, "51730": 2302, "517318": 2207, "51734": 2298, "51738": 2302, "51749": 2302, "5175": 2222, "51760": 2199, "517603": 2207, "51764": 2302, "51777": 2302, "51778": 2302, "51787": 2302, "517871": 2199, "51790": 2302, "518": [2194, 2199, 2201, 2203, 2238, 2283, 2294, 2307], "51800": 2302, "51809": 2302, "518162": 2207, "51828": 2302, "5185": 2218, "51853": 2298, "51856": 2302, "51858": 2302, "51861": 2302, "51873": 2302, "518736": 2197, "51895": 2300, "51896": 2302, "519": [2194, 2199, 2201, 2203, 2238, 2283, 2294, 2307], "51903": 2302, "5191": 2218, "519133": 2207, "51921": 2302, "51922": 2302, "51929": 2307, "51936": 2302, "51946": 2302, "5195": 2218, "519526": 2207, "51953": 2302, "51970": 2307, "519726": 2193, "51977": 2302, "51979": 2302, "5198": 2220, "519818": 2235, "519970": [2185, 2197, 2204], "52": [17, 19, 31, 188, 189, 213, 230, 345, 764, 765, 788, 804, 956, 957, 962, 970, 973, 982, 983, 990, 995, 997, 999, 1002, 1006, 1007, 1008, 1009, 1013, 1014, 1018, 1447, 1793, 1815, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2218, 2220, 2222, 2226, 2228, 2229, 2230, 2232, 2235, 2238, 2241, 2246, 2249, 2271, 2283], "520": 2199, "5200": [754, 757, 1242, 1243], "52008": 2298, "520091": 2184, "5203": 2218, "52033": 2302, "52036": 2298, "520478": 2199, "5206": [2, 2218], "520630": 2197, "52081": 2302, "52084": 2302, "52085": 2302, "52087": 2302, "52093": 2307, "52095": 2302, "52096": 2302, "521": [2199, 2257], "52116": 2303, "521161": 2207, "521174": 2207, "52125": 2302, "52126": 2302, "52128": 2302, "52140": 2302, "52143": 2302, "5215": 2218, "521620": 2207, "521732": 2207, "52179": 2302, "521919": 2207, "52197": 2302, "522": 2199, "52201": 2302, "52212": 2302, "52214": 2302, "52219": 2302, "52223": 2302, "52234": 2302, "5224": 2235, "522460": 2210, "52266": 2307, "52272": 2302, "52284": 2307, "5229": 2223, "52290": 2302, "52291": 2302, "52295": 2299, "523": 2199, "5231": 2228, "52314": 2302, "523211": 2197, "52331": 2302, "52341": 2302, "523425": 2204, "5235": 2218, "52353": 2302, "52384": 2302, "523852": 2207, "523873": 2207, "52388": 2302, "523889": [121, 696, 2212], "523893": 28, "5239": 2239, "52391": 2299, "524": 2199, "52401": 2299, "52404": 2299, "524058": 2207, "52406": 2299, "524182": 2207, "524183": 2207, "52419": 2307, "52425": 2299, "524267": 2207, "52427": 2299, "52430": 2302, "5244": 168, "52443": 2299, "52444": 2302, "52445": 2299, "52449": 2299, "52450": 2300, "52451": 2300, "52456": 2302, "524590": 1299, "52462": 2302, "524640": 2195, "52471": 2302, "5248": 2218, "52484": 2299, "524988": [15, 2184, 2185, 2186, 2191, 2197, 2199, 2202, 2204, 2214, 2215, 2216, 2219, 2235, 2241, 2264], "525": [2184, 2186, 2191, 2199], "52500": 2302, "52502": 2302, "52505": [2193, 2307], "52511": 2307, "525149": 2207, "52515": 2299, "525174": 1259, "52523": 2193, "525239": 2184, "52524": 2299, "52525": 2302, "52527": 2302, "52533": 2299, "52534": 2302, "52536": [2302, 2307], "52538": 2302, "52541": 2302, "52545": 2302, "52546": 2299, "52550": 2302, "52553": 2299, "52555": 2299, "52564": 2302, "52568": 2299, "52570": 2299, "52586": 2302, "52588": 2299, "52590": 2300, "526": [1444, 2199, 2257], "52607": 2302, "526206": 2195, "526246": 2195, "52625": 2299, "52628": 2302, "52629": 2299, "52632": 2302, "52642": 2302, "526497": 28, "526503": 2207, "526506": 2197, "52652": 2299, "52659": 2302, "5267": 2220, "52675": 2302, "52677": 2299, "52678": 2302, "52679": 2299, "52680": 2302, "52685": 2302, "526860": 2260, "52690": 2301, "526911": 2199, "527": [2199, 2220], "527045": 2207, "52705": 2302, "52708": 2302, "5271": 2218, "527146": 2210, "527206": 2207, "52728": 2302, "527525": [1195, 1256, 1292], "52760": 2299, "52761": 2299, "527625": 2228, "52764": 2302, "527645": 2207, "52777": 2302, "52781": 2302, "52788": 2302, "52795": 2299, "528": 2199, "52806": 2302, "52812": 2300, "528216": 2207, "52824": 2300, "528290": 2195, "5283": 2219, "52836": 2302, "52840": 2302, "52843": 2299, "52849": 2302, "528496": 2199, "52859": 2302, "52872": 2300, "528798": 2228, "528895": 2166, "52897": 2302, "52898": 2302, "529": 2199, "52904": 2302, "52909": 2300, "52927": 2307, "52930": 2302, "529322": 2184, "52941": 2302, "52947": 2302, "52960": 2302, "52969": 2302, "52979": 2302, "52981": 2302, "52986": 2302, "529895": 2219, "52998": 2302, "52w": 1433, "53": [15, 17, 19, 24, 25, 28, 29, 32, 532, 662, 957, 1377, 1793, 1815, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2218, 2220, 2222, 2226, 2228, 2230, 2232, 2235, 2238, 2241, 2246, 2249, 2271, 2283, 2294], "530": 2199, "53001": 2300, "53009": 2302, "530113": 2207, "53013": 2302, "53014": 2302, "53039": 2302, "53045": 2302, "530515": 2207, "53053": 2300, "53054": 2300, "530570": 2260, "53058": 2302, "530606": 2207, "53077": 2300, "53088": 2302, "530905": 2204, "53093": 2300, "531": 2199, "53103": 2302, "5310949": 2202, "531096": 2230, "5311": 2202, "53111": 2307, "53117": 2300, "5312": 2218, "5313": 2222, "531389": 2207, "5314": 2222, "53142": 2302, "53143": 2302, "531450": 2207, "53147": 2300, "53150": 2302, "53152": 2302, "53155": 2302, "53160": 2302, "53171": 2302, "531805": 2207, "53193": 2302, "53195": 2300, "53199": 2302, "532": 2199, "53200": 2300, "53212": 2302, "53220": 2302, "53229": 2302, "53231": 2301, "53232": 2300, "532359": 2207, "5324": 2218, "532532": [2184, 2214], "53255": 2302, "53258": 2302, "5326": 2218, "53265": 2302, "532779": 2207, "532785": 2219, "53291": 2302, "53295": 2300, "533": [2199, 2207], "533026": 2195, "533145": 2207, "53325": 2302, "53326": 2302, "53328": 2300, "533340": 2207, "5334": 2218, "53368": 2302, "53369": 2302, "533706": 2207, "5338": 2220, "533806": 2207, "53382": 2300, "533825": 2204, "53387": 2302, "53390": 2301, "53394": 2302, "534": [2199, 2257], "53400": 2302, "53401": 2302, "53409": 2302, "534212": 2207, "53425": 2302, "534317": 2230, "5344": 2218, "53446": [2302, 2304], "53452": 2307, "5347": 2218, "53470": 2302, "53481": 2307, "53482": 2302, "534833": 2191, "53486": 2302, "53490": 2301, "53491": [2302, 2304], "53497": 2301, "535": 2199, "53500": 2302, "5351": 2224, "53513": 2302, "53514": 2302, "53515": 2307, "53518": 2302, "5353": 2222, "53532": 2301, "53545": 2302, "535539": 2204, "5357": 2220, "53574": 2302, "535740": 2199, "535778": 2219, "53579": 2302, "53581": 2302, "53585": 2302, "535851": 2207, "535854": 2215, "536": [2199, 2257], "53601": 2302, "53602": 2302, "53606": 2302, "53616": 2301, "53617": 2301, "53620": 2302, "53621": 2302, "53627": 2302, "53631": 2302, "53635": 2302, "536364": 2195, "536408": 2199, "53641": 2307, "53644": 2301, "536453": 2207, "53646": 2302, "53648": 2301, "536517": 2207, "53655": 2302, "53658": 2302, "536580": 2197, "53659": 2302, "5366": 2194, "53662": 2302, "53664": 2302, "53668": 2302, "5367": [2194, 2218], "5368": 2194, "53686": 2302, "53687": 2302, "5369": 2194, "53692": 2302, "53694": 2302, "537": [2186, 2199, 2227], "5370": 2218, "53702": [2185, 2302], "537020": 2185, "53703": 2302, "53704": 2302, "5372": 2218, "53721": 2302, "53731": 2302, "53738": 2301, "53744": 2302, "53746": 2302, "53747": 2302, "53767": 2302, "5377": 2271, "53786": 2302, "537874": 2207, "53792": 2302, "538": [2191, 2199], "53806": 2302, "53811": 2302, "53831": 2302, "53832": 2302, "53846": 2304, "538468": 2210, "53854": 2302, "53857": 2302, "538674": 2199, "53870": 2302, "53885": 2302, "5389": 2194, "53898": 2302, "539": 2199, "5390": 2194, "53908": 2302, "5391": [2194, 2222], "539184": 2207, "53935": 2302, "53950": 2302, "53955": 2302, "53956": 2302, "539708": 2195, "53979": 2302, "53983": 2302, "539890": 2257, "539990": 2210, "53h": 2209, "54": [15, 17, 19, 29, 213, 345, 788, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2218, 2220, 2222, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2271, 2283], "540": [69, 109, 129, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 2199], "5401": 2277, "54011": 2302, "540132": 2207, "5402": 2219, "540338": 2235, "54037": 2302, "54063": 2302, "540662": 2207, "5407": 2220, "54074": 2302, "540920": 2195, "54097": 2302, "541": 2199, "5410": 2218, "541257": 2210, "541335": 2205, "54134": 2307, "5414": 2220, "541630": 2186, "54167": 2302, "541690": 2199, "54173": 2302, "541787": 2235, "54184": 2302, "54186": 2302, "5419": 2218, "541986": 2199, "542": [2199, 2257], "54206": 2302, "542108": 2184, "54219": 2302, "54224": 2302, "54229": [2302, 2307], "542291": 2207, "54234": 2307, "542382": 2207, "54239": 2302, "5424": 2218, "54247": 2302, "54251": 2302, "542520": 2210, "54257": 2302, "54261": 2307, "54264": 2307, "542720": 2207, "542749": 2197, "54275": 2307, "54287": 2302, "54296": 2307, "54297": 2302, "54298": 2302, "54299": 2302, "542993": 2207, "543": 2199, "54300": 2302, "54308": 2302, "5432": 2199, "54322": 2302, "54341": 2302, "54346": 2302, "5436": 2224, "5437": 2218, "54371": 2302, "54379": 2302, "54383": 2302, "544": 2199, "5441": 2218, "5443": 2219, "54430": 2302, "54443": 2302, "54459": 2307, "54466": 2308, "54467": 2307, "54477": 2302, "544785": 2207, "54480": 2307, "544883": 2166, "54495": 2302, "545": [1444, 2199, 2203, 2257], "545034": 2186, "54508": 2302, "545163": 2207, "545187e": 2195, "5453": 2220, "545371": 2207, "54550": 2307, "54564": 2307, "54566": 2302, "54580": 2307, "54592": [2194, 2201, 2203, 2283, 2294, 2302, 2307], "545952": [2185, 2197, 2199, 2202, 2204], "546": 2199, "54611": 2307, "54620": 2307, "54623": 2302, "546340": 2207, "54654": 2307, "54661": 2307, "54663": 2307, "54666": 2307, "54667": 2302, "54671": 2307, "546906": 2230, "547": [2186, 2199, 2227], "54710": 2307, "547168": 2207, "54722": 2307, "54727": 2307, "54769": 2307, "5478": 2220, "54797": 2302, "548": 2199, "548106": [2184, 2195, 2214], "548188": 2219, "54824": 2308, "54833": 2307, "54835": 2307, "54844": 2302, "54847": 2307, "54848": 2303, "54857": 2303, "54858": 2303, "54868": 2303, "54870": 2303, "548702": [2184, 2214], "54875": 2303, "54877": 2303, "548814": 2166, "54894": 2303, "549": 2199, "5490": 2219, "54904": 2303, "549047": 2207, "54918": 2303, "54920": 2303, "54922": 2304, "54931": 2303, "54934": 2303, "54938": 2307, "54941": 2307, "54942": 2307, "54944": 2303, "54948": 2303, "54964": 2307, "5497": 2219, "549734": 2207, "54980": 2303, "54981": 2303, "549834": 2207, "54984": 2307, "54994": 2307, "55": [15, 17, 19, 139, 140, 202, 213, 228, 273, 276, 788, 900, 902, 1174, 1175, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2218, 2220, 2222, 2223, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2271, 2283, 2302], "550": 2199, "5500": [6, 25], "55000": 2303, "550000": 2212, "55003": 2303, "55006": 2303, "55009": 2307, "55015": 2307, "55025": 2304, "55026": 2304, "550262": 2186, "55027": 2307, "55031": 2307, "55043": 2307, "550459": 2197, "5505": 2220, "550603": 2235, "55064": 2304, "55069": 2308, "550787": 2207, "5508": 2218, "55080": 2305, "55084": 2307, "550854": 2207, "55088": 2306, "551": 2199, "55106": 2304, "55108": 2307, "551115123125783e": 2199, "55113": 2307, "551225": 2193, "55137": 2306, "55138": 2304, "55139": 2307, "55147": 2307, "551686": 2207, "5517": 2222, "55181": 2307, "5519": 2220, "551981": 2199, "552": [2199, 2257], "55200": 2307, "5521": 2221, "55219": 2307, "55228": 2306, "552351": 2207, "55238": 2307, "55241": 2307, "552423": 2193, "55245": 2304, "55247": 2307, "55254": 2307, "55255": 2307, "55256": 2304, "55264": 2307, "5527": 2218, "55271": 2307, "5528": 2218, "55281": 2307, "55282": 2307, "552825": 2184, "552839": 2195, "552887": 15, "55299": 2304, "552990": 2207, "553": [2199, 2207], "55323": 2307, "55332": 2309, "553396": 2185, "55340": 2307, "553405": 2207, "553439": [2220, 2230], "55346": 2307, "55347": 2304, "55348": 2304, "55362": 2304, "55364": 2304, "55365": 2304, "55366": 2304, "55367": 2304, "55368": 2304, "55379": 2304, "553831": 2199, "55388": 2307, "5539": 2239, "55398": 2307, "554": [2199, 2257], "55403": 2307, "55405": 2307, "55413": 2307, "55415": 2307, "5542": 2218, "5543": 2220, "5545": 2218, "55453": 2304, "5546": 2220, "55468": 2307, "55483": 2307, "55498": 2307, "55499": 2307, "554994": 2207, "555": 2199, "5550": 2218, "55503": 2307, "55512": 2307, "55515": 2307, "55520": 2304, "55525": 2307, "5553": 2218, "555368": 1323, "55536811": 1323, "5555": 2199, "55554": 2304, "555556": [121, 696, 1300], "55561": 2304, "55569": 2307, "55580": 2307, "55583": 2307, "555902": 2207, "555923": 2207, "55595": 2307, "556": 2199, "55604": 2307, "55606": 2304, "55608": 2307, "55609": 2307, "55619": 2306, "55620": 2304, "55621": 2304, "55622": 2307, "55623": 2307, "55627": 2304, "556270": 1461, "556338": 2207, "55638": 2306, "556383": 2214, "55655": 2304, "55657": 2307, "5567": [2185, 2220], "55677": 2307, "55678": 2307, "556787e": 2222, "55683": 2307, "556882": 2195, "5569": 2221, "55693": 2307, "557": 2199, "55709": 2307, "55710": 2307, "557110": 2235, "55714": 2307, "55718": 2307, "55730": 2307, "55736": 2307, "55737": 2307, "557374": 2219, "557402": 2199, "557501": 2210, "55755": 2307, "55756": 2307, "55763": 2305, "55765": 2307, "5576966": 2202, "5577": 2202, "55780": 2307, "55785": 2307, "558": 2199, "55813": 2307, "55816": 2307, "558180": 2207, "55820": 2307, "55821": 2305, "558275": 2195, "55832": 2306, "55839": 2307, "55845": 2308, "55849": 2307, "558688": 2186, "558748": 2197, "55879": 2306, "55882": 2307, "558913": 2207, "55894": 2305, "55895": 2307, "559": 2199, "559067": 2207, "559163": 2207, "5592": 2218, "559209": 2197, "55936": 2307, "559365": 2210, "55948": 2307, "55949": 2307, "55951": 2307, "55953": 2307, "55956": 2307, "55958": 2307, "55960": 2307, "55961": 2307, "55971": 2307, "55972": 2307, "55979": 2307, "55989": 2307, "56": [17, 19, 22, 183, 276, 761, 902, 1017, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2218, 2220, 2222, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2271, 2283, 2307], "560": 2199, "56004": 2307, "56008": 2307, "56012": 2307, "5602": 2221, "5603": 2220, "56036": 2307, "56037": 2307, "560398": 2199, "56047": 2306, "56051": 2307, "56062": 2307, "560660": 2207, "5607": [2192, 2197], "56089": 2307, "5609": [2192, 2197, 2220], "56099": 2307, "561": [2, 2199], "5610": [2192, 2197, 2220], "56101": 2307, "56102": 2307, "56106": 2307, "5611": [2192, 2197], "56110": 2307, "56115": 2307, "56117": 2307, "561196": 2230, "5612": [2192, 2197], "56122": 2306, "56127": 2307, "56128": 2307, "5614": 2220, "56142": 2307, "56148": 2307, "561514": 2207, "56152": 2306, "56157": 2307, "56158": 2307, "56160": 2306, "56161": 2307, "561757": 2184, "56179": 2306, "56183": 2306, "56189": 2307, "56195": 2307, "561967": 2199, "561982": 2207, "562": [1193, 1254, 2199], "56204": 2307, "56205": [68, 577], "56208": 2307, "562167": 2199, "56227": 2307, "56236": 2307, "56243": 2307, "562500": 2212, "56259": 2307, "56262": 2307, "56266": 2306, "56267": 2307, "56268": 2307, "56271": 2306, "56273": 2307, "562777": 2191, "562782": 2186, "562808": 2207, "562860": [1148, 1149], "562861": 2235, "562868": 2207, "562973": 2186, "563": [2199, 2257], "5630": [2192, 2197], "5632": [2192, 2197], "56323": 2307, "5633": [2192, 2197], "5634": [2192, 2197], "56345": 2307, "5635": [2192, 2197], "5636": [2192, 2231], "5637": [2192, 2197], "5638": [2192, 2197], "563873": 2186, "5639": [2192, 2197, 2218], "564": 2199, "5640": [2192, 2197], "56404": 2307, "564056": 2197, "5641": [2192, 2197, 2220], "56410": 2307, "56411": 2307, "5642": [2192, 2197], "564201": 2199, "56426": 2307, "56427": 2307, "5643": [2192, 2197], "56441": 2307, "564417": 2235, "56442": 2307, "56443": 2307, "56444": 2307, "56455": 2307, "564592": 2197, "5646": 2192, "56463": 2307, "5647": 2192, "56478": 2307, "5648": 2192, "56486": 2307, "5649": 2192, "564918": 2195, "56492": 2307, "565": 2199, "5650": 2192, "56503": 2308, "56507": 2307, "5652": 2219, "565204": 2207, "56521": 2307, "56528": 2307, "565375": 2210, "565581": 2199, "5656": 2191, "565646": [2185, 2197, 2199, 2202, 2204, 2215, 2257], "565686": 2207, "565727": 2191, "56573": 2307, "565769": 2199, "565783": 2207, "56579": 2307, "566": 2199, "5662": 2226, "56635": 2307, "5664": 2226, "566411": 2207, "56645": 2307, "56652": 2307, "5666": 2218, "56672": 2307, "566826": 2207, "567": [78, 162, 2184, 2185, 2186, 2191, 2199], "56700": 2308, "56702": [2210, 2241, 2307, 2309], "567020": [15, 2184, 2185, 2186, 2191, 2197, 2199, 2202, 2210, 2214, 2215, 2216, 2218, 2225, 2226, 2231, 2241], "56703": 2307, "56706": 2307, "567182": 2214, "567296": 2199, "567517": 2207, "56761": 2307, "56765": 2307, "56766826": 2205, "5677": 2235, "5678": 2218, "568": 2199, "568018": 2197, "568099": 2230, "5682": 2219, "568242": 2191, "568390": 2207, "5684": 2220, "568517": 2204, "5686": 2289, "569": [2186, 2199, 2207], "569069": 2186, "569139": 2207, "56945": 2308, "5695": 2219, "569522": 2207, "569605": [2185, 2197, 2199, 2202, 2204, 2215], "569718": 2207, "5698": 2218, "56991": 2308, "57": [15, 17, 18, 19, 276, 902, 1192, 1253, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2218, 2220, 2222, 2225, 2226, 2228, 2230, 2232, 2235, 2238, 2241, 2246, 2249, 2271], "570": 2199, "57006": 2308, "57010": 2308, "57019": 2308, "5702": 2218, "57027": 2308, "5703": 2218, "57039": 2308, "57040": 2308, "57048": 2308, "57051": 2309, "57056": 2308, "57066": 2308, "57067": 2308, "57068": 2308, "5708": 2219, "570960": 2230, "571": 2199, "571073": 2207, "5712": 2218, "57121": 2308, "57124": 2308, "571241": 2186, "5713": 2202, "57130": 2308, "5713290": 2202, "571429": [2195, 2201, 2222], "57150": 2308, "57151": 2308, "5717": 2218, "572": [2199, 2298], "572182": 2193, "57224": 2308, "5724": 2235, "5725": 2218, "5727": 2219, "57276": 2308, "573": [1444, 2199], "57301": 2308, "573025": 2191, "57310": 2308, "57315": 2308, "57316": 2308, "57318": 2308, "5732": 2219, "573201": 2230, "573257": 2207, "573517": 2210, "573714": 2207, "573806": 2229, "574": [2194, 2199, 2201, 2203, 2232, 2283, 2294, 2298, 2302, 2307], "5740": 2220, "57418": 2308, "5742": 2219, "57429": 2308, "574779": 2184, "574816": 2207, "5749": 2219, "575": [2194, 2199, 2201, 2203, 2232, 2283, 2294, 2302, 2307], "575010": 2191, "575170": 2184, "575189": 2199, "575237": 2216, "575247": [2184, 2195, 2214], "575251": 2212, "57529": 2308, "57539": 2309, "5754": 2218, "57551": 2186, "575510": 2186, "57553": 2309, "575535": 2210, "576": [2194, 2199, 2201, 2203, 2232, 2283, 2294, 2298, 2302, 2307], "576300": 2207, "576332": 15, "576449": 2186, "5765": [2192, 2219], "5766": 2192, "57664": 2309, "5767": 2192, "576758": 2207, "5768": 2192, "5769": 2192, "577": [2186, 2191, 2194, 2199, 2201, 2203, 2232, 2283, 2294, 2298, 2302, 2307], "5770": 2192, "577046": [2185, 2186, 2191, 2197, 2199, 2202, 2204, 2215, 2216, 2218, 2219, 2235, 2241, 2257, 2264], "5771": 2192, "577115": 2207, "5772": 2192, "577223": 15, "5773": 2192, "57735": [225, 800, 1199, 1260], "577350": [1195, 1203, 1256, 1292, 1318, 1335], "577363": 2197, "5774": 2192, "5775": 2192, "577569": 2195, "577585": [2184, 2214], "5776": 2192, "57761": 2309, "57762": 2309, "577693": 2207, "578": [2194, 2199, 2201, 2203, 2232, 2283, 2294, 2298, 2302, 2307], "5786": 2229, "578615": 2207, "578798": 2210, "578900": 2207, "579": [2199, 2232], "5797": 2219, "58": [17, 19, 23, 213, 276, 345, 788, 902, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2218, 2220, 2222, 2226, 2228, 2230, 2232, 2235, 2238, 2241, 2246, 2249, 2271, 2307], "580": [2199, 2232], "580039": 2207, "5801": 2219, "580473": 2205, "5808": 2219, "581": 2199, "581139": [2212, 2232], "581588": 2207, "5818": 2219, "581859": 2205, "582": [2199, 2298], "582421": 2207, "582600": 2199, "582811": 2207, "582898": 2195, "583": [2199, 2210, 2298], "583067": 2207, "583090": 2191, "583139": 2207, "583333": 2222, "583343": 2199, "5835": 2219, "58374": 2257, "583749": 2186, "583787": 2191, "583888": 2186, "584": [2199, 2210, 2298], "584563": 2207, "5846": 2219, "584639": 2207, "585": [2193, 2199], "5850": 2202, "585583": 1334, "585746": 15, "585786": [121, 696, 2212], "585799e": 2222, "586": [2199, 2298], "5862": 2219, "586275": 2207, "5863": 2219, "58632": 2310, "586321": 2207, "586538": 2235, "586550": 2207, "586605": 2207, "586656": 2207, "586878": 2207, "5869": 2219, "587": [2199, 2298], "587101": 2197, "587119": 2207, "587231": 2230, "5873": 2225, "5874": 2219, "5875": 29, "587528": 2207, "587584": 2207, "5877": 2219, "58776": 2257, "5878": 2220, "587886": 2207, "5879": 2219, "588": 2199, "5884": 2222, "588635": 2230, "588641": 2207, "589": [1193, 1254, 2199], "5890": 2219, "589168": 2197, "5892": [183, 761], "589346": [2184, 2214], "5896": 2219, "5897": 2221, "589745": 2218, "589993": 2186, "59": [17, 19, 29, 276, 278, 288, 296, 318, 331, 363, 519, 524, 530, 531, 532, 549, 561, 639, 651, 652, 673, 676, 686, 902, 904, 940, 943, 948, 1491, 1876, 1894, 1964, 2018, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2218, 2220, 2222, 2226, 2228, 2230, 2232, 2235, 2238, 2241, 2246, 2249, 2264, 2271], "590": 2199, "5900": 2199, "59000000": [176, 179, 754, 757, 1242, 1243], "590204": 2210, "5905": 2219, "590584": 2210, "590715": [1148, 1149], "590871": 2207, "591": 2199, "591165": 2207, "5912": 2219, "591395": 2207, "5914": 2219, "591431": [2184, 2214], "591538": 2197, "5917": 2220, "591710": 2195, "591863": 2235, "592": 2199, "5922": 2219, "592222": 2207, "592306": 2184, "592714": 2195, "5928": [2186, 2219], "592886": 2235, "592951": 2207, "593": 2199, "593075": 2207, "5932": 2219, "593616": [2184, 2214], "594": 2199, "5940": 2220, "5940742896293765": [16, 19], "5944": 2219, "59444": 2310, "594454": 2207, "5945": 2220, "5947": 2219, "594943": 2207, "595": [2199, 2257], "5950": [2220, 2232], "595013": 2199, "5952": 2219, "595307": 2197, "595334": 2204, "595393": 2210, "595447": [2184, 2214], "5955": 2220, "595615": 2219, "595638": 15, "5958": 2220, "595974": 2185, "596": 2199, "596001": 2197, "59604644775390625": 2298, "5960698": 2202, "5961": [2202, 2219], "5963": 2224, "596664": 2207, "596673": 2207, "596791": 2204, "5968": 2219, "597": 2199, "5971": 2220, "597339": 2207, "5974": 2219, "5975": 2219, "597649": 2207, "598": [2199, 2298], "598062": 2207, "598150": 2191, "598575": 2191, "5987": 2220, "598845": 2207, "599": [2199, 2298], "599246": 2207, "5_calendar": [1793, 1815], "5c782b38cd2f": 2194, "5d": 2199, "5em": 2207, "5fba7d": 1398, "5gb": 1487, "5h": [31, 1145, 1344, 1393, 1497, 2210], "5hz": 1280, "5l": 2222, "5min": [957, 970, 997, 1502, 2184, 2210, 2235], "5n": 2218, "5u": [1500, 2186, 2209, 2218, 2222], "5x": [2226, 2254, 2255, 2307], "5xxx": 2227, "6": [2, 10, 13, 15, 16, 17, 18, 19, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 63, 65, 67, 68, 69, 70, 71, 72, 73, 74, 81, 83, 92, 99, 105, 106, 108, 109, 111, 113, 120, 126, 129, 133, 136, 144, 145, 148, 149, 155, 156, 160, 162, 163, 167, 169, 171, 173, 177, 178, 180, 184, 185, 186, 187, 191, 194, 196, 197, 199, 203, 204, 206, 207, 208, 209, 212, 213, 215, 216, 217, 218, 220, 221, 222, 225, 226, 229, 244, 248, 250, 254, 255, 256, 265, 267, 269, 273, 275, 278, 280, 281, 284, 292, 294, 331, 332, 339, 345, 346, 353, 367, 370, 389, 402, 404, 413, 415, 434, 483, 496, 513, 515, 517, 532, 535, 543, 545, 565, 568, 577, 579, 580, 583, 594, 603, 616, 622, 627, 628, 630, 632, 635, 644, 646, 686, 688, 702, 708, 712, 713, 725, 726, 730, 731, 738, 741, 750, 755, 756, 762, 763, 767, 769, 771, 781, 782, 787, 788, 793, 800, 807, 809, 810, 824, 881, 883, 888, 895, 896, 900, 904, 907, 912, 923, 1003, 1021, 1024, 1032, 1033, 1034, 1040, 1052, 1075, 1147, 1150, 1151, 1152, 1155, 1157, 1160, 1161, 1162, 1163, 1165, 1168, 1169, 1170, 1171, 1172, 1176, 1177, 1178, 1181, 1186, 1188, 1189, 1191, 1194, 1195, 1196, 1197, 1200, 1203, 1206, 1209, 1210, 1213, 1214, 1217, 1218, 1219, 1220, 1222, 1225, 1226, 1227, 1228, 1229, 1230, 1233, 1236, 1237, 1240, 1247, 1249, 1250, 1252, 1255, 1256, 1257, 1258, 1261, 1265, 1268, 1272, 1273, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1292, 1293, 1304, 1314, 1318, 1319, 1320, 1321, 1322, 1330, 1334, 1335, 1336, 1337, 1340, 1343, 1345, 1347, 1391, 1393, 1394, 1395, 1397, 1398, 1400, 1403, 1406, 1407, 1415, 1416, 1422, 1430, 1433, 1445, 1446, 1447, 1448, 1453, 1454, 1457, 1463, 1468, 1478, 1479, 1488, 1490, 1491, 1502, 1506, 1512, 1524, 1530, 1548, 1566, 1586, 1607, 1626, 1643, 1665, 1686, 1707, 1728, 1741, 1747, 1765, 1782, 1793, 1801, 1815, 1823, 1846, 1857, 1863, 1883, 1901, 1919, 1936, 1953, 1971, 1982, 1988, 2000, 2006, 2025, 2043, 2061, 2079, 2090, 2096, 2108, 2114, 2133, 2151, 2166, 2184, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2234, 2235, 2236, 2238, 2240, 2246, 2249, 2257, 2260, 2263, 2264, 2265, 2271, 2277, 2278, 2283, 2289, 2294, 2296, 2298, 2302, 2304, 2307], "60": [15, 16, 17, 19, 74, 160, 190, 193, 213, 273, 544, 546, 583, 738, 766, 768, 788, 900, 930, 934, 1345, 1391, 1443, 1488, 1490, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2218, 2220, 2222, 2225, 2226, 2228, 2230, 2232, 2235, 2241, 2246, 2249, 2271], "600": [74, 195, 280, 583, 770, 1280, 1433, 2199, 2200, 2210, 2298], "6000": [193, 768], "60000": [1443, 2199, 2201], "600000": [2201, 2212], "600044": 2207, "600113": 2207, "600142": 2207, "600178": [15, 2185, 2197, 2204], "600278": 2207, "600337": 2186, "6004": 2199, "6007": 2219, "600705": 2197, "600794": 2184, "6008": 2219, "600874": 2215, "601": [2199, 2298], "6013": 2219, "6014": 2220, "601544": 2185, "601618": 2207, "6018": 2219, "601965": 15, "602": 2199, "6021": 2219, "602268": 2207, "602549": 15, "6026": 2219, "602763": 2166, "6028": 2219, "603": [2199, 2298], "603194": 2207, "603594": 2207, "6039": 2186, "604": [2199, 2298], "6043": 2219, "604334": 2235, "604466": 2197, "604675": 2197, "604736": 2207, "604745": [2214, 2235], "6048": 2220, "6049": 2257, "605": [2199, 2298], "605081": 2207, "6051": [196, 771], "6055": 2219, "6056": 2219, "605632": 2207, "605656": 2197, "6059": 2219, "605928": 2193, "605946": 2193, "606": [2199, 2206, 2298], "6060271905134522": 2206, "6061": 2220, "6062": 2220, "60632": 2210, "606831": 2207, "606860": 2186, "607": 2199, "607315": 2195, "607422": 2186, "607671": 2207, "6077": 2230, "607731": 2207, "607920": [2185, 2197, 2199, 2202, 2204, 2215], "608": 2199, "608004": 2195, "608434": 2191, "608465": 2199, "609": 2199, "6091": 2202, "609373": 2207, "609738": 2230, "6098": 2219, "609836": 2186, "61": [15, 17, 19, 26, 27, 31, 242, 283, 532, 817, 910, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2218, 2220, 2222, 2223, 2226, 2228, 2230, 2231, 2232, 2235, 2241, 2246, 2271], "610": 2199, "6105": 2219, "610691": 2199, "610871": 2207, "611": 2199, "6111": 2186, "611107": 2207, "611112": 2218, "611185": 2197, "6113": [2186, 2228], "6114": 2186, "611510": 2184, "6116": 2186, "6117": 2186, "611789": 2207, "612": 2199, "6120": 2219, "6121": 2219, "612245": [2191, 2225], "6124": 2220, "612452": 2230, "6125": 2219, "6127": 2220, "6129": 2219, "613": 2199, "613172": 2186, "6134": 2220, "6136": 2219, "613616": 2202, "613897": 2230, "613898": 2207, "614": [2199, 2232], "6140": 2219, "614215": 2218, "614264": 2207, "614266": 2199, "614523": 2191, "614533": 2197, "614581": [2184, 2195], "6148": 2219, "6149": 2220, "615": 2199, "6150": 2219, "6152": 2219, "615303": 2191, "615385": [121, 696, 2212], "615396": 2230, "6155": 2219, "615556": 27, "615597": 2207, "615674": 2207, "615801": 2207, "615855": 2185, "615972": 2205, "615975": 2207, "616": [2199, 2232], "616184": 2197, "6166": 2220, "6167": 2219, "616767": 2184, "6169": 2219, "617": [16, 17, 18, 19, 2199, 2203, 2232, 2235, 2298], "6171": 2219, "6175": 2220, "617509": 2199, "6177": 2220, "6178": 2220, "618": 2199, "618153": 15, "618321": 2199, "618372": 2207, "618553": 2207, "6186": 2220, "618673": 2197, "618697": 2199, "618757": 2207, "618896": 2186, "618906": 2195, "619": [16, 17, 18, 19, 2199, 2203, 2232, 2235, 2298], "619048": 1320, "619104": 2207, "619366": 2207, "6194": 2232, "61941": 2257, "6199759194": 2199, "619976": [2185, 2191, 2197, 2199, 2202, 2204], "619993": 2235, "62": [15, 17, 18, 19, 81, 187, 213, 242, 283, 763, 788, 817, 910, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2218, 2220, 2222, 2226, 2228, 2230, 2232, 2235, 2241, 2246, 2271], "620": [16, 17, 18, 19, 2199, 2203, 2232, 2235, 2262, 2298], "620145": 2191, "62036035": [624, 1215], "620399": 2199, "620498": 2207, "6205": 2220, "620544": 2191, "620765": 2207, "6209": 2219, "621": 2199, "621034": 2186, "6212": 2219, "6214": 2218, "621452": 2207, "621592": 2207, "622": [16, 17, 18, 19, 2197, 2199, 2202, 2203, 2231, 2235, 2298], "622109": 2230, "6223": 2220, "622526": 2186, "622638": 2207, "622727": 2195, "622970": 2207, "623": [16, 17, 18, 19, 2199, 2203, 2235, 2298], "623033": 2184, "623732": 2191, "6238072747940578789": [1039, 2164], "623893": 2195, "623977": 2197, "624": 2199, "6240": 2220, "624607": 15, "624615": 2207, "624699e": 2191, "624747": 2199, "624938": 2191, "624988": 2230, "625": [205, 778, 2199, 2203, 2298], "6252": 2220, "625210": 2207, "6254": 2220, "625415": 2207, "6255": 2192, "6256": [2192, 2202], "6257": 2192, "625733": 2230, "625771": 2199, "6258": [2192, 2220], "6259": 2192, "625909": 2207, "626": [2199, 2203, 2298], "6260": 2192, "6262": 2192, "6263": 2192, "626300": 1323, "6263001": 1323, "6264": 2192, "626404": 2235, "626444": 15, "6265": 2220, "626968": 2217, "627": 2199, "627068": 2207, "627081": [2184, 2195, 2214], "6273": 2220, "6274": 2220, "627712": 2197, "627796": 2235, "6279": 2271, "628": 2199, "6281": 2220, "628296": 1198, "628767": 2199, "628776": 2235, "628872": 2207, "6289": 2220, "628992": 2257, "629": 2199, "6290": 2220, "629003": 2207, "629165": 2230, "6292": [2220, 2230], "6295": 2203, "629546": 2219, "6296": [2203, 2220], "629675": 2185, "6297": [2203, 2220], "6298": 2203, "6299": [2203, 2220], "63": [15, 17, 19, 213, 788, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2218, 2220, 2222, 2226, 2227, 2228, 2230, 2232, 2235, 2241, 2246, 2271], "630": 2199, "630110": 15, "630256": 2207, "630482": 2207, "631": 2199, "631095": 2195, "6313": 2220, "631502": 2207, "631523": 2235, "631545": 2207, "631547": 1303, "632": 2199, "632038": 2207, "6322": 2235, "6326": 2246, "632633": 2217, "6327": 2220, "632779": 2186, "6329": 2220, "633": 2199, "633165": 2230, "6332": 2220, "633372": 2215, "6335": 2220, "633678": 2185, "6337": 2220, "634": 2199, "6341": 2220, "6342": 2220, "634248": 2199, "6344": 2220, "6345": 2220, "634509": 2191, "634686": 2207, "6348": 2220, "635": 2199, "6351": 2220, "6355": 2220, "636": 2199, "6360": 2246, "636123": 2207, "636524": [2220, 2228, 2230, 2231], "6366": 2220, "637": [2197, 2199], "6371": 2220, "6372": 2220, "637235": 2210, "63741": 2204, "637410": 2204, "637550": [2184, 2214], "637752": 2229, "6378": [196, 771], "637829": 2199, "637901": 2186, "637903": 2207, "638": [2197, 2199], "6380": 2220, "638279": 2207, "638297": 2204, "6383": 2220, "638509": 15, "638902": 2229, "638934": 2199, "638n": 2202, "638u": 2202, "639": [2197, 2199], "6391": 2220, "6394": 2220, "6396": 2202, "639632": 2207, "6397": 2220, "6399": 2220, "64": [10, 17, 19, 568, 918, 1031, 1095, 1491, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2218, 2220, 2222, 2226, 2228, 2230, 2232, 2235, 2241, 2246, 2261, 2271, 2294, 2298, 2302], "640": [2197, 2199], "6401": 2220, "6403": 2228, "640340": 2230, "640382": 2186, "640556": 2215, "6407": 2220, "640843": 2199, "640875": 2207, "640880": 2235, "640898": 2219, "640x480": 1457, "641": 2199, "641184": 2186, "641360": 2199, "6415": 2238, "641602": 2230, "6418": 2220, "641817": 2216, "642": [2197, 2199], "6423": 2221, "642343": 2195, "6424": 2235, "642994": 2199, "643": [2197, 2199], "643342": 2210, "643563": [2185, 2191, 2197, 2199, 2215, 2216, 2218, 2219, 2235, 2241, 2257], "6436": 2191, "643703": 2207, "6439": 2220, "643950": 2186, "644": [29, 2197, 2199], "6440": 2220, "6444": 2220, "6445": 2220, "644937": 2199, "645": [29, 2199], "645054": 2207, "645096": 2199, "645330": 2207, "645423": 2186, "645656": 2207, "645751": [1294, 2211], "645894": 2166, "6459": 2220, "645944": 2199, "646": 2199, "6460": 2220, "646063": 2199, "646086": 2207, "6462": 2220, "6463": 2220, "6466": 2220, "646654": 2207, "646721": 2207, "646737": 2207, "647": [2199, 2257], "6471": 2220, "6472": 2220, "647353": 2207, "647444": 2207, "647623": 2186, "647626": 2207, "647699": 2199, "6479": 2220, "648": [2184, 2199, 2202, 2205, 2298], "648010": 2207, "648115": 2207, "6482": 2226, "6484": 2220, "648493": 2206, "648726": 2199, "649": [2184, 2199, 2205], "649122": 2207, "6493": 2220, "649456": 2199, "6496": [2221, 2222], "649646": 2207, "649682": 28, "649711": 2212, "649727": 2191, "649748": 2186, "64bit": 2298, "64ec62289cb4": 2203, "65": [17, 19, 259, 890, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2218, 2220, 2222, 2223, 2226, 2228, 2230, 2232, 2235, 2241, 2246, 2255, 2271], "650": [2199, 2298], "65000000": [176, 179, 754, 757, 1242, 1243], "6504": 2220, "650762": 2199, "650776": 2202, "650794": [121, 696], "6508": 2249, "650845e": 2191, "6509": 2220, "650951": 2207, "651": [2184, 2199, 2205, 2298], "6511": 2228, "651378": 2230, "6514": 2220, "651437": 2229, "651520": 2195, "651554": 2207, "652": 2199, "652317": 1334, "6525": 2220, "652692": 2195, "6527": 2222, "6529": 2220, "653": [2184, 2199, 2205, 2298], "653022": 2207, "6531": 2220, "6532": 2220, "653280": 2204, "653367": 15, "6536": 2220, "653602": 2186, "653619": 2207, "653788": 2191, "6538": 2235, "653817": 2207, "653932": 2207, "653940": 2207, "654": [2184, 2199, 2205, 2207, 2298], "654016": 2207, "6541": 2220, "654102": 2207, "6543": 2220, "6545": 2220, "6546": 2220, "6547": 2220, "655": [2184, 2199, 2205], "6551": 2220, "6552": 2222, "655377": 2207, "655440": 2207, "655457": 2214, "6555": 2220, "655514": 2212, "655824": 2197, "655873": 2207, "655969": 2230, "656": [2184, 2199, 2205], "656279": 2207, "656430": 2207, "656789": 2205, "656823": 2207, "657": [2184, 2199, 2205], "6573": 2220, "6574": 2220, "657564": 2207, "657575": 2199, "657803": 2197, "658": 2199, "6581": [2225, 2232, 2246], "658179": 2199, "6583": 2220, "6584": 2220, "658444": [2184, 2257], "658537": 2184, "658598": 2207, "6587": 2220, "6588664275960427": 2206, "658899": 2207, "6589": 2206, "659": [2193, 2199], "659221": 2207, "659369": 2207, "659584": 2207, "659955": 2207, "66": [17, 19, 139, 140, 219, 273, 900, 1174, 1175, 1433, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2218, 2220, 2222, 2226, 2228, 2230, 2232, 2235, 2241, 2246, 2271], "660": [2199, 2201], "6600": 2220, "660294": 2195, "6604": 2220, "660402": 2207, "660515": 2210, "660522": 2199, "6606": 2221, "6607": 2220, "6609": 2220, "660908": 2205, "661": [2199, 2210, 2259], "661062": 2217, "661196": 2207, "6612": 2220, "661376": 2207, "661633": 28, "6617": 2220, "661717": 2191, "6618": [2185, 2197, 2232], "661897": 2186, "6619": [2185, 2197], "661949": 2199, "662": 2199, "6620": [2185, 2197, 2225, 2228], "662031": 2193, "6621": [2185, 2197, 2220], "6622": [2185, 2197], "6623": [2185, 2197], "6624": [2185, 2197], "662428": 2214, "6625": [2185, 2197, 2230, 2302], "6626": [2185, 2197, 2302], "662690": 2191, "662696": 2207, "6628": 2302, "6629": 2302, "663": 2199, "6630": 2302, "6631": [2220, 2302], "6632": 2302, "6633": 2302, "6636": 2220, "6637": 2298, "6638": 2298, "6639": 2298, "663980": 2207, "664": 2199, "6641": 2298, "6642": 2298, "6643": 2298, "6644": 2298, "6645": [2220, 2298], "664592": 2207, "665": [2186, 2199, 2227], "665170": 2204, "665314": 2207, "665382": 2207, "6655": 2202, "665572": 2195, "6656": 2220, "665737": 2184, "6658": 2220, "666": 2199, "6660": [2185, 2197], "6661": [2185, 2197], "6662": [2185, 2197], "666317": 2207, "6664": [2185, 2197], "6665": [2185, 2197], "666667": [102, 121, 146, 696, 720, 1152, 1158, 1203, 1297, 1304, 2195, 2201, 2211, 2218], "6667": 2222, "667": [15, 1343, 2199, 2204, 2232], "667101": 2207, "6676": 2220, "667715": 2186, "6678": 2220, "668": 2199, "6680": [2220, 2230], "6681": 2220, "668149": 2199, "668157": 2207, "6685": 2220, "668777": 2207, "6689": 2220, "668909": 2207, "669": 2199, "669046": 1198, "669052": [2184, 2214], "669567": 2207, "669692": 2197, "6697": 2298, "669700": 2207, "669934": 2216, "67": [17, 19, 28, 29, 81, 219, 2184, 2185, 2186, 2188, 2191, 2193, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2205, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2218, 2220, 2222, 2226, 2228, 2230, 2231, 2232, 2235, 2241, 2246, 2271], "670": 2199, "6700": 2220, "670047": 2186, "670153": 2197, "670213": [121, 696], "670284": 1334, "670477": 2217, "671": 2199, "6710": 2235, "671233": 2199, "671496": 2207, "6715": 2220, "6716": 2220, "671824": 2207, "6719": 2220, "672808": 2201, "672848": 2207, "673145": 2215, "6732": 2220, "6733": 2220, "6734": 2220, "6736": 2226, "673601": 2195, "6736897080883706": 2197, "67369": 2241, "673690": [15, 2184, 2185, 2186, 2191, 2197, 2199, 2202, 2204, 2210, 2214, 2215, 2216, 2218, 2219, 2226, 2241, 2264], "6737": [2184, 2186, 2191], "673778": 18, "6738": 2220, "673913": [2191, 2225], "674": 2197, "6745": 2220, "6746": 2191, "674600": [2185, 2197, 2199, 2215, 2218, 2219], "6748": 2220, "674826": 2207, "6749": [2220, 2231], "675": [195, 770, 2197], "675341": 2186, "6754": 2220, "6755": 2228, "675554": 2220, "675595": 2199, "675642": 2207, "675663": 2207, "676": [2185, 2197], "6760": 2220, "676070": 2191, "676124": 2199, "676143": 2207, "6762": 2220, "676395": 2191, "6764": 2220, "676448": 2199, "676463": 2207, "6766": 2220, "676639": 2197, "6768": 2220, "676837": 2207, "6769": 2220, "677": [2185, 2197], "677285": 2207, "6774": [2221, 2235], "677424": 2207, "6775": 2185, "677510": 2184, "6777": 2220, "678": [1433, 2185, 2197], "678058": 2207, "6782": 2220, "678253": 2207, "678365": 2191, "6785": 2220, "6787": 2222, "678711": 2186, "678805": 2235, "678886": 2229, "679": [2185, 2197], "6790": 2197, "6792": 2197, "6793": 2197, "6794": 2197, "679430": 2207, "6796": [2185, 2197], "6797": [2185, 2197], "6798": 2185, "679894": 2207, "6799": 2185, "68": [17, 19, 2184, 2185, 2186, 2188, 2191, 2193, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2205, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2218, 2220, 2222, 2226, 2227, 2228, 2230, 2232, 2235, 2241, 2246, 2271], "680": [2185, 2197], "6800": 2185, "6801": 2185, "680188": 2207, "6802": [2185, 2220], "6803": 2185, "6804": 2185, "680539": 2207, "680555": 2191, "6806": [2185, 2220], "6807": [2185, 2220], "6808": [2185, 2220], "680851": [2191, 2225], "6809": [2185, 2221], "680948": 2207, "681": 2197, "6810": [2185, 2220], "6811": 2185, "681192": 2210, "6812": 2185, "6813": 2185, "6814": 2185, "681456": [15, 2219], "6815": 2185, "6816": 2220, "6817": [2185, 2220], "6818": [2185, 2220], "681973": 2207, "682": [2193, 2197], "682402": 2199, "682596e": 2191, "682781": 2207, "683276": 2207, "683333": 2222, "6834": 2220, "683463": 2230, "683536": 2197, "683763": 2186, "683774": 2207, "683847": 2195, "684": [2193, 2197], "684267": 2207, "684360": 2195, "684640": 2186, "6847": 2220, "684718": 2197, "685": [2186, 2197, 2227], "685094": 2207, "6851": 2202, "6851483": 2202, "685193": 2219, "6852": 2222, "685204": 2218, "685219": 2218, "685496": 2210, "6856": 2202, "6859": 2220, "686107": 2186, "686275": [2191, 2225], "6863": 2220, "686390": 2207, "686583": 2235, "6866": 2220, "686602": 2197, "686692": 2205, "687287": 15, "6873": 2220, "687406": 2199, "687500": [283, 910], "6877": [2185, 2197], "687716": 2207, "687738": [15, 2185, 2191, 2197, 2199, 2202, 2204], "6877383895": 2199, "687758": 2184, "6878": [2185, 2197, 2294], "6879": [2185, 2197], "687921": 2207, "6880": [2185, 2197], "6881": [2185, 2197], "688223": 2229, "6883": 2185, "6884": 2185, "6885": [2185, 2220], "6886": [2185, 2220], "6887": 2185, "688795": 15, "688896": 2207, "689": 2199, "6893": 2220, "6894": 2220, "689569": 2207, "6897": 2221, "6899": 2220, "69": [17, 19, 188, 189, 764, 765, 1433, 2184, 2185, 2186, 2188, 2191, 2193, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2205, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2218, 2220, 2222, 2226, 2228, 2230, 2232, 2235, 2241, 2246, 2271], "6900": 2220, "6902": 2199, "690288": 2191, "6903": 2199, "6904": [2199, 2220], "690438": 2191, "690539": 2235, "690579": [2185, 2191, 2197, 2199, 2204], "6905793352": 2199, "690629": 2199, "690764": 2207, "691": 2199, "6910": 2220, "691034": 2197, "691115": 2186, "6913": 2220, "691338": 2186, "6914": 2220, "6915": 2220, "691592": 2207, "691944": 2207, "692": 2199, "6923": 2220, "692424": 2186, "692498": 2207, "6926": 2220, "6927": 2220, "6929": 2277, "693": [1433, 2199], "6930": 2230, "693043": 2210, "6932": 2222, "693205": [2184, 2214], "693429": 28, "6937": 2221, "693884": 2210, "6939": 2220, "694": 2199, "694268": 28, "6945": 2241, "694592": 2207, "695": 2199, "6951": 2220, "695148": 2186, "6952": 2220, "695246": 2186, "695438": 2204, "6956": [2220, 2265], "6957746499": 2199, "695775": [2185, 2197, 2199, 2202, 2204], "695847": 2199, "6959": 2220, "695904": 2191, "696": 2199, "6960": 2220, "6961": 2223, "696232": 2207, "696404": 2207, "6965": 2220, "6966": 2226, "696n": 2202, "696u": 2202, "697": 2199, "6970": 2222, "697339": 2207, "6976": 2220, "697753": 2197, "697936": 2207, "697986": 2191, "698": [2199, 2214], "698548": 2207, "698687": 2191, "698728": 2257, "6988": 2220, "699": [2199, 2257], "699070": 2186, "69911764705882": 28, "699118": 28, "699142": 2207, "6992": 2227, "6997": [183, 761], "6998": 2220, "699877": 2229, "6999": 2220, "6em": 2207, "6f": [1309, 1326], "6h": 1497, "6me": 2195, "6th": 2298, "7": [10, 15, 16, 17, 18, 19, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 63, 65, 68, 72, 73, 74, 89, 92, 106, 108, 111, 113, 120, 122, 133, 136, 137, 141, 160, 163, 169, 185, 186, 193, 196, 197, 202, 203, 208, 212, 213, 219, 228, 234, 240, 248, 259, 265, 267, 273, 278, 280, 284, 346, 353, 384, 392, 395, 400, 414, 415, 568, 577, 583, 586, 601, 603, 616, 628, 632, 635, 697, 708, 712, 717, 738, 741, 758, 762, 768, 771, 782, 787, 788, 794, 807, 816, 846, 881, 890, 895, 896, 900, 904, 907, 912, 982, 984, 1073, 1075, 1103, 1147, 1150, 1151, 1153, 1157, 1163, 1165, 1170, 1171, 1173, 1176, 1180, 1185, 1188, 1191, 1193, 1197, 1199, 1200, 1205, 1206, 1209, 1210, 1212, 1214, 1220, 1222, 1227, 1228, 1233, 1239, 1246, 1249, 1252, 1254, 1258, 1260, 1261, 1265, 1267, 1268, 1269, 1270, 1273, 1277, 1278, 1279, 1284, 1288, 1293, 1295, 1297, 1304, 1318, 1320, 1321, 1334, 1335, 1337, 1343, 1347, 1369, 1384, 1397, 1406, 1416, 1430, 1433, 1440, 1446, 1447, 1448, 1454, 1456, 1463, 1478, 1479, 1490, 1699, 1720, 2166, 2184, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2239, 2240, 2241, 2242, 2243, 2245, 2246, 2247, 2248, 2249, 2264, 2265, 2271, 2277, 2278, 2283, 2286, 2289, 2294, 2298, 2302, 2307], "70": [15, 17, 19, 74, 188, 189, 583, 764, 765, 1198, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2205, 2207, 2208, 2209, 2210, 2211, 2212, 2218, 2220, 2222, 2226, 2228, 2230, 2232, 2235, 2241, 2246, 2271], "700": [74, 583, 2199, 2261], "70000": 2201, "700000": [1320, 2201], "700301": 2207, "701": 2199, "701025": 2207, "7011": 2220, "701204": 2214, "701343": 2207, "701379": 2186, "7015": 2220, "701544": 2191, "7016": 2220, "701936": 2207, "701948": 2195, "702": [2199, 2203], "702091": 2207, "702184": 2216, "7025": 2220, "7028": 2199, "7029": 2199, "703": [2199, 2203], "7030": 2199, "7031": 2199, "7032": [2199, 2222, 2228], "7033": 2199, "703334": 2218, "7034": [2199, 2220], "7035": 2199, "7036": 2199, "7037": 2199, "7038": 2199, "703846": 2201, "7039": 2199, "704": [2199, 2203], "7040": [2199, 2220], "704118": 2207, "704261": 2230, "7043": 2220, "704581": 2230, "704907": [1148, 1149], "705": [1193, 1254, 2199], "705001": 2207, "705212": 2207, "705238": 2207, "7053": 2221, "7056": 2249, "705764": 2219, "705775": [2184, 2214], "706": [2199, 2203], "7061": 2230, "706250": 2207, "706270": 2207, "706443": 2207, "706488": 2207, "7065": 2222, "706543": 2216, "7066": 2220, "706771": [2184, 2185, 2186, 2191, 2195, 2197, 2199, 2202, 2210, 2214, 2215, 2218, 2225, 2226, 2231, 2241, 2260], "7067711336300845": 2197, "7068": [2184, 2186], "7069": 2222, "707": [2199, 2203], "7070": 2222, "707107": [1264, 1301, 1316, 1333, 1339, 2211, 2212, 2235], "707140": 2197, "7074": 2228, "7075": 2220, "707731": 2184, "708": 2199, "7081": [2191, 2194], "708355": 2218, "7084": 2220, "708758": 2214, "7088": [2220, 2228], "7089": [2191, 2194], "709": 2199, "7090": 2220, "7092": 2220, "709213": 2195, "709248": 2260, "709459": 2199, "7095": 2228, "7096": 2232, "709661": [2184, 2214], "7097": 2222, "7098": 2220, "71": [15, 17, 24, 25, 28, 29, 32, 133, 208, 708, 718, 782, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2205, 2207, 2208, 2209, 2210, 2211, 2212, 2218, 2222, 2226, 2228, 2230, 2232, 2235, 2241, 2246, 2271], "710": 2199, "7101": 2220, "7103": 2222, "7105": 2220, "7106": 2220, "711": 2199, "711409": 2186, "7115": 2223, "7117": 2235, "712": [3, 2185, 2192], "712009": 2199, "712369": 2186, "7124": 2229, "712702": 2230, "712795": 2199, "713": [2192, 2199], "713216": 2217, "713416": [2185, 2207], "713897": 2197, "7139": 2226, "713941": 2204, "714": [24, 25, 28], "7140": 2221, "714000": 18, "714192": 2230, "714196": 2207, "714337": 2186, "714483": 2186, "7149": 2221, "715": [2186, 2191, 2192], "7150": 2221, "715002": [15, 2185, 2186, 2191, 2197, 2199, 2202, 2204, 2215, 2216, 2218, 2219, 2235, 2241, 2264], "715071": 2214, "715189": 2166, "715206": 2207, "7155": 2307, "7156": 2221, "7157": 2220, "716": [2186, 2227], "7160": 2232, "716193": 2207, "716272": 2207, "716721": 2184, "7169": 2220, "717": 2257, "7171": 2228, "717110": 15, "717123": 2207, "717283": 2205, "7173": 2222, "7175": [2238, 2257], "7176": 2220, "7177": 2222, "7178": 2220, "7180": 2222, "718282": [273, 900, 2191], "718796": 2207, "718815": [16, 19], "7189": 2220, "7190": 2220, "719177": 2228, "7192": 2220, "719369": 2195, "7195": 2221, "719541": 2228, "7196": 2221, "7198": 2220, "7199": 2220, "719915": 2207, "72": [17, 31, 190, 193, 766, 768, 1189, 1250, 1433, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2205, 2207, 2208, 2209, 2210, 2211, 2212, 2218, 2220, 2222, 2223, 2226, 2228, 2230, 2232, 2235, 2238, 2241, 2246, 2271], "720": [69, 109, 129, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 1447, 2200, 2232], "7200": 2210, "720000": [2191, 2225], "720521": 2210, "720589": [2220, 2228, 2230, 2231], "7206": 2220, "7207": 2222, "720780": 15, "721": 2202, "7210": 2220, "721025": 2207, "721104": 2210, "7212": 2227, "721555": [15, 2184, 2185, 2186, 2191, 2195, 2197, 2199, 2202, 2210, 2214, 2215, 2218, 2225, 2241, 2260], "721559": 2191, "7216": [2184, 2186], "721680": 2216, "7218": 2220, "721823": 2207, "722067": 2207, "7222": 2230, "7223": 2221, "7226": 2221, "7227": 2221, "722709": 2186, "7228": 2221, "722941": 2207, "7234": 2221, "723698": 2185, "723768": 2184, "723780": 2193, "7242": 2221, "724370": 2186, "7246": [182, 760], "724832": 2207, "724913": 2191, "725": [16, 17, 18, 19, 2199, 2235], "725238": 15, "725411": 2214, "725974": 2191, "7261": 2221, "726280": 2199, "726645": 28, "727": [16, 17, 18, 19, 2199, 2235], "727267": 2207, "727294": 2207, "727669": 2229, "7277": 2221, "727707": [2185, 2197, 2199, 2202, 2204], "727965": [2184, 2214], "728": [16, 17, 18, 19, 2199, 2235], "728068": 2230, "7281": 2221, "728293": 2197, "7284": 2221, "7286": 2221, "728702": 2186, "729": [16, 17, 18, 19, 2197, 2199, 2231, 2235], "729161": 2199, "7292": 2241, "7297": 2221, "7299": 2221, "729907": 2186, "72hr": 234, "73": [15, 17, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2205, 2207, 2208, 2209, 2210, 2211, 2212, 2218, 2220, 2222, 2226, 2228, 2230, 2232, 2235, 2238, 2241, 2246, 2271], "730": [16, 17, 18, 19, 2199, 2235], "7300": 2221, "730057": 2195, "7302": 2221, "7306": 2221, "7308": 2294, "730951": 2257, "730984": 2207, "731": [16, 17, 18, 19, 2199, 2235], "7310": 2221, "7313": 2221, "7315": 2221, "7316": 2221, "731628": 2207, "731847": 2207, "731920": 2257, "732": [16, 17, 18, 19, 2199, 2235], "732009": 2230, "732051": [232, 806], "732206": 2197, "732283": 2207, "7323": 2221, "732339": [15, 2185, 2191, 2197, 2199, 2202], "7323393705": 2199, "7324": 2221, "7325": 2221, "732707": [2184, 2195], "732716": 2197, "732964": 2191, "733": [16, 17, 18, 19, 2199, 2235], "733073": 2207, "7331": 2224, "7333": 2221, "733333": 2185, "7334": 2241, "733510": 15, "733639": 2186, "733957": 2207, "734": [16, 17, 18, 19, 2199, 2235], "734315": 2207, "734737": 18, "734777": 2207, "734871": 2207, "7349": 2221, "734907": 2185, "734929": 2186, "735": 2199, "7352": 2221, "7353": 2221, "7354": 2221, "735523": 2207, "7357": 2221, "735925": 2210, "736": [16, 17, 18, 19, 183, 761, 2199, 2232, 2235], "7360": 2221, "736107": 2197, "7365": 2222, "7366": 2221, "736609": 2207, "736755": 2199, "7369": 2221, "737": [16, 17, 18, 19, 2199, 2235, 2298], "7370": 2221, "737086": 2235, "737369": 2229, "737425": 972, "737463": 2207, "7376": 2221, "737858": 2199, "7379": 2221, "738": [2199, 2298], "738035": 2186, "7383": 2221, "738357": 2207, "738521": 1011, "738908": 2207, "739": [2199, 2298], "739013": 2207, "7391": 2221, "739185": 2207, "7394": 2221, "739537": 2195, "7398": 2202, "7399": 2221, "74": [31, 182, 190, 193, 760, 766, 768, 964, 966, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2205, 2207, 2208, 2209, 2210, 2211, 2212, 2218, 2220, 2222, 2223, 2226, 2228, 2230, 2232, 2235, 2241, 2246, 2271], "740": 2199, "7400": 2221, "740050": 29, "7401": 2225, "740139": 2186, "7402": 22, "7403": 2225, "7405": 2225, "740556": 2207, "7406": 2221, "7407": 2221, "7408": 2221, "7409": 2221, "741": 2199, "741113": 2215, "741243": 2207, "741248": 2191, "7413": 2202, "741524": 2207, "7416": 2221, "741782": 28, "741922": 15, "742": 2207, "742038": 28, "742165": 2207, "742260": 2207, "742267": 2214, "7423": 2221, "742682": 2219, "742802": [195, 770], "7429": 2221, "743089": 2207, "7431": 2221, "7431609117": 2199, "743161": [2185, 2191, 2197, 2199, 2202], "743875": 2191, "743894": 2191, "7439": 2222, "744095": 2207, "7441": [2202, 2222], "744154": 2204, "744376": 2207, "7444": 2222, "7447": 2222, "745": [2197, 2231], "7452": 2221, "7453": [2221, 2231], "745356": 1316, "745505": [2184, 2214], "745741": 2207, "7458": 2221, "7459": 2221, "745953": 2204, "746097": 2191, "7464": 2221, "7465": 2221, "7466": 2225, "7469": 2221, "747070": 15, "7471": 2221, "747447": 2193, "747967": 2210, "748199": 2197, "7482": [182, 760], "748344": 2207, "748471": 2199, "7485": 2221, "748572": 2191, "749": 2207, "749014": 2207, "7496": 2221, "7498": 2221, "749892": 2186, "75": [23, 28, 107, 133, 144, 208, 213, 252, 266, 629, 708, 776, 782, 788, 1164, 1221, 1314, 1397, 1419, 1430, 1447, 1467, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2205, 2207, 2208, 2209, 2210, 2211, 2212, 2218, 2220, 2222, 2226, 2228, 2230, 2232, 2235, 2241, 2246, 2249, 2257, 2260, 2271], "750": [2207, 2210], "7500": [24, 29, 2221], "750000": [121, 696, 2186, 2212, 2222, 2235], "750099": 2230, "7502": 2221, "7505": 2221, "7506": 2221, "7508": 2225, "7509": 2283, "751": 2210, "7511": 2222, "7512": 2221, "751208": 2207, "751328": 2195, "7516": 2221, "751694": 2207, "751976": 2214, "752102": 2207, "752239": 2207, "7523": 2221, "752332": 2186, "752441": 2207, "7528": 2222, "752861": 2195, "7529": 2221, "7534": 2221, "753444": 2207, "753606": 2199, "753611": 2207, "753623": 2191, "753747": 2207, "7539": 2221, "754": 2193, "7540": 2222, "754005": 2210, "7542": 2222, "7543": 2222, "754659": 2191, "755": [29, 2298], "7551": 2221, "7552144": 2199, "7555": 2221, "7559": 2221, "756": [29, 2298], "756495": 2186, "756500": 2207, "756852": 2207, "756995": 2199, "757034": 2219, "757304": 2186, "7575": 2222, "757508": 2205, "757555": 2193, "7576": 2294, "757698": 2195, "757745": 2207, "757772": 2207, "758": [27, 2185, 2298], "758070": 2207, "758294": 2191, "7586": 2221, "758602": 2207, "7588": 2231, "759": 32, "759104": 2185, "7592": 2221, "759328": 2199, "759606": 2199, "759644": 2222, "7599": 2228, "75th": [107, 629, 1164, 1221], "76": [18, 190, 193, 766, 768, 1433, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2207, 2208, 2209, 2210, 2211, 2212, 2218, 2220, 2222, 2223, 2226, 2228, 2230, 2232, 2235, 2241, 2246, 2271], "760": [32, 2298], "7601": 2221, "760109": 2195, "7606": 2221, "760643": 2199, "7609": 2221, "760970": 2207, "761": 2207, "7610": 2221, "761038": 2207, "761040": 2207, "7611": 2221, "761130": 2214, "7612": 2249, "7615": 2229, "761594": 2207, "761726": 2204, "7618": 2222, "762": 2298, "762034": 15, "762052": 2207, "7621": 2224, "762533": 2207, "7626": 2234, "7627": 2221, "7629": 2226, "7630": 2232, "763006": 2191, "763108": 2207, "763605": 2191, "763783": 2207, "764": 2207, "7640": 2235, "764052": 2207, "764443e": 2204, "764851": 2186, "7655": 2222, "7656": 2221, "7660": [2202, 2222], "7661": 2222, "766822": 2207, "767": [268, 2265], "767101": 2185, "767252": 2184, "767440": 2186, "767769": 2204, "7678": 2221, "768061": 2207, "7683": 2222, "768681": 2207, "7687": [2246, 2271], "7692": 2228, "769691": 2207, "7697": 2222, "769804": [2185, 2191, 2197, 2199, 2202, 2204], "77": [15, 81, 1447, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2205, 2207, 2208, 2209, 2210, 2211, 2212, 2218, 2220, 2222, 2223, 2226, 2228, 2230, 2232, 2235, 2241, 2246, 2271], "770": [2193, 2207], "7701": 2221, "770309": 2207, "7704": 2222, "770555": 2204, "770743": 2207, "7708": 2222, "770933": 2207, "770968": 2218, "7711": 2222, "771208": 2184, "771452": 18, "7715": 2222, "771533": 2229, "7718": 2230, "771805": 2207, "7720": [2186, 2227], "772115": 2215, "7722": 2222, "772263": 2216, "7724": 2224, "772485": 2191, "7725": 2222, "772517": 2186, "772519": [2199, 2207], "772827": 2230, "773": 2258, "773289": 2191, "7733": 2222, "7735": 2222, "7737": 2222, "773866": 2207, "773882": 2197, "7739": 2249, "773900": 15, "774": 2258, "7740": 2222, "7741": 2222, "7746": 2222, "774627": 15, "774753": 2195, "7748": 2222, "774848": 2207, "774928": 2206, "7750": 29, "775068": 1300, "7751": 2235, "7754": 2227, "775482": 2199, "775558e": 2222, "775602": 2207, "7757": 2238, "7758": 2222, "775880": 2186, "7760": 2222, "7761": 2222, "7762": 2222, "7763": 2222, "7766": 2222, "776734": 2207, "7768": [2222, 2241], "7769": 2191, "776904": [2185, 2197, 2199, 2215, 2218, 2219, 2257], "777037": 2207, "7771": 2225, "7772": 2222, "7774": 2222, "777482e": 2191, "777490": 2207, "7775": 2249, "777643": 2207, "7777": 2222, "7778": 2222, "7780": 2222, "778425": 2210, "778461": 2217, "7785": 2222, "778852": 2195, "779064": 2207, "7791": 2229, "7792": 2222, "779280": 2186, "7793": 2222, "779333": 2195, "7794": 2222, "7795": 2232, "779540": 2207, "7796": 2222, "7798": 2222, "779837": 2204, "779887": 2184, "779976": 2230, "78": [15, 29, 190, 193, 766, 768, 1433, 2184, 2185, 2186, 2188, 2191, 2193, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2205, 2207, 2208, 2209, 2210, 2211, 2212, 2218, 2220, 2222, 2226, 2228, 2230, 2232, 2235, 2241, 2246, 2271], "780": [2186, 2227], "7801": 2222, "7803": 2222, "780770": 2191, "7809": 2222, "781": 2225, "7811": 2228, "781105": 2220, "781147": 2207, "7812": 2222, "7814": 2222, "7816": 2222, "781836": 2191, "781993": 2191, "782": 2277, "7822": 2222, "782326": 2207, "782376": 2214, "7825": [2243, 2246], "7826": 2222, "782797": 2195, "783051": 2219, "783123": 2186, "783168": 2207, "7833": 2222, "783425": 2207, "7835": 2222, "7839": 2222, "784": 2258, "7840": 2222, "784153": 2218, "784161": 2207, "7844": 2222, "784420": 2195, "7845": 2222, "784549": 2207, "7846": 2222, "784643": 2207, "7848": 2222, "785103": 2191, "785359": 2230, "7856": 2226, "7857": 2222, "7858": 2222, "785939": 2211, "785980": 2195, "786": 2185, "7860": 2223, "786076": [242, 817], "786173": 2199, "7864": 2222, "786476": 2195, "7866": 2222, "786796": 1318, "7869": 2222, "787": 2258, "7870": 2222, "787140": 2204, "787338": 2214, "7877": 2228, "7878": 2222, "787847": 2186, "7880": 2222, "788412": 2207, "788427": 2207, "7885": 2222, "788730": 2230, "7888": 2222, "788871": 2210, "788960": 2207, "7890": 2222, "7892": 2222, "789461": 2191, "789478": 2207, "7897": 2222, "789963": 2186, "78e": [2186, 2227], "79": [29, 1433, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2207, 2208, 2209, 2210, 2211, 2212, 2218, 2220, 2222, 2223, 2226, 2228, 2230, 2232, 2235, 2241, 2246, 2271], "7900": 2222, "790087": 2207, "7901": 2222, "790202": 15, "7905": 2226, "7907": 2222, "7910": 2222, "7911": 2222, "791197": 2186, "7912": 2222, "791252": 2207, "7914": 2222, "791419": 2191, "791725": 2166, "792042": 2207, "792213": 2207, "792342": 2197, "7925": 2222, "792652": 2197, "7927": 2222, "792889": 2207, "7929": 2222, "7930": 2222, "7932": 2222, "793414": 2207, "7935": 2223, "793542": 2207, "793615": 2230, "793893": 2195, "7941": 2222, "794159": 2199, "7943": 2222, "794317": 2230, "794488": 2207, "7949": 2222, "7950": 2222, "7952": 2222, "795981": 2207, "7963": 2241, "796421": 2195, "7966": 2222, "797": 2193, "7972": 2222, "797515": 2191, "797614e": 2191, "7977": 2222, "797812": 2207, "798": 2193, "798110": 2195, "7982": 2222, "7983": 2202, "7983341": 2202, "798341": 2207, "798396": 2204, "798589": [2207, 2229], "7987": 2222, "798948": 2186, "7990": 2222, "799067": 2191, "799207": 2207, "799331": 15, "7996": 2241, "7997": 2222, "7998": 2222, "7999": 2222, "7d": 2246, "7min": [213, 345, 788, 2210, 2271], "7th": 2298, "7x": 2226, "8": [3, 4, 9, 10, 15, 16, 17, 18, 19, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 63, 72, 73, 74, 92, 108, 111, 113, 120, 133, 136, 144, 146, 147, 154, 160, 163, 164, 169, 170, 172, 185, 188, 189, 190, 193, 196, 203, 205, 208, 212, 213, 223, 234, 245, 248, 251, 255, 256, 257, 259, 265, 268, 269, 272, 273, 274, 280, 284, 346, 353, 440, 445, 568, 583, 599, 603, 616, 630, 632, 635, 708, 712, 720, 738, 741, 742, 746, 748, 764, 765, 766, 768, 771, 778, 782, 787, 788, 798, 807, 822, 847, 860, 879, 881, 884, 888, 890, 895, 900, 907, 912, 1039, 1075, 1147, 1150, 1154, 1157, 1160, 1162, 1163, 1165, 1168, 1170, 1171, 1176, 1178, 1180, 1181, 1185, 1186, 1189, 1191, 1195, 1196, 1197, 1199, 1200, 1203, 1205, 1206, 1209, 1214, 1217, 1219, 1220, 1222, 1225, 1227, 1228, 1233, 1237, 1239, 1240, 1246, 1247, 1250, 1252, 1256, 1257, 1258, 1260, 1261, 1265, 1267, 1268, 1273, 1277, 1278, 1279, 1280, 1284, 1288, 1291, 1292, 1293, 1294, 1297, 1302, 1304, 1321, 1323, 1325, 1338, 1339, 1340, 1341, 1343, 1344, 1345, 1347, 1374, 1391, 1396, 1406, 1407, 1411, 1414, 1416, 1432, 1433, 1434, 1440, 1446, 1448, 1454, 1463, 1469, 1473, 1476, 1478, 1479, 1486, 1487, 1488, 1490, 1491, 1493, 1494, 1495, 1496, 1512, 1530, 1548, 1566, 1586, 1598, 1607, 1626, 1643, 1657, 1665, 1677, 1686, 1699, 1707, 1720, 1728, 1741, 1747, 1765, 1782, 1801, 1823, 1846, 1863, 1883, 1901, 1919, 1936, 1953, 1971, 1988, 2006, 2025, 2043, 2061, 2079, 2096, 2114, 2133, 2151, 2166, 2184, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2240, 2241, 2242, 2246, 2249, 2251, 2257, 2260, 2263, 2264, 2265, 2270, 2271, 2277, 2278, 2283, 2289, 2294, 2295, 2298, 2302, 2307], "80": [28, 74, 183, 198, 214, 249, 268, 271, 282, 583, 761, 882, 899, 1198, 1202, 1263, 1345, 1391, 1433, 1488, 1490, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2218, 2220, 2222, 2223, 2226, 2228, 2230, 2232, 2235, 2241, 2246, 2249, 2271], "800": [65, 74, 583, 1280, 1302], "8000": [183, 761, 2185, 2220, 2223, 2230], "80000": [150, 168, 2194, 2201, 2222], "800000": [1320, 2184, 2201], "8002": 2222, "800523": 2207, "8006": 2222, "800959": 2191, "801": 65, "8011": 2228, "801196": 2197, "8014": 2222, "8015": 2224, "8017": 2222, "801859": 2207, "801872": 2230, "8019": 2222, "802": 2258, "8020": 2230, "8021": 2222, "802148": 2230, "802159": 2205, "802241": 2199, "802298": 2210, "802374": 2235, "8024": 2222, "8025": 2222, "802658": 2207, "8027": 2222, "802899": 2199, "803": 29, "803045": 2207, "803311": 2193, "803351": 2214, "8037": 2222, "8038": 2229, "803879": 2186, "8039": 2222, "803919": 2207, "803956e": 2204, "804": [29, 182, 760], "8040": 2222, "804338": 2207, "8044": 2222, "8045": 2222, "804551": 2199, "8046": 2222, "804737": 2214, "8048": 2225, "8052": 2191, "805244": [2185, 2197, 2199, 2202, 2204, 2215, 2257], "8052440253863785": 2185, "805367": 2229, "805452": 2193, "805479": 2191, "8056": 2222, "8058": 2222, "806": [2258, 2298], "8062": 2222, "806206": 2207, "806340": 2199, "8064": 2222, "806949": 2230, "807": [1433, 2258, 2298], "807069": 2207, "8071": 2222, "807157": 2207, "807291": 2195, "8073": 2222, "8074": 2241, "8075": 2222, "807545": 2207, "8076": 2222, "8079": 2222, "808": 2298, "8080": [13, 2222], "8081": 2222, "808277e": 2191, "808286": 2185, "808798": 2207, "808838": 2197, "808927": 2207, "809": 2200, "809152": 2216, "809185": 2219, "8092": 2222, "809797": 2207, "809829": 2207, "809926": 2207, "80px": 2207, "81": [15, 187, 763, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2207, 2208, 2209, 2210, 2211, 2218, 2222, 2223, 2226, 2228, 2230, 2232, 2235, 2241, 2246, 2249, 2271], "810": [182, 760, 2200, 2298], "8100": 2199, "8103": 2222, "810332": 2207, "810340": 2186, "810847": 2195, "811": [2200, 2298], "8110935116651192": 2186, "811094": 2186, "8112": 2223, "811230": 2199, "8114": 2222, "8116": 2222, "811999": 2207, "812": [2200, 2283], "8121": 2222, "812101": 2207, "8122": 2222, "812436": 2195, "812500": 18, "8128": 2222, "8129": 2222, "813": [2199, 2200, 2298], "8131": 2222, "8132": 2222, "813266": 2257, "813360": 2199, "8138": 2241, "813850": [15, 2185, 2197, 2199, 2202, 2215, 2257], "813893": 2207, "814": [2199, 2298], "8140": 2222, "8143": 2222, "814347": 2186, "814397": 2207, "814470": [2184, 2214], "814788": 2207, "814869": 2207, "815": [2199, 2298], "8152": 2222, "815703": 2185, "8158": 2231, "815826": 2195, "816": [2218, 2298], "816397": 2210, "8164": 2222, "816482": 2184, "816622": 2216, "8169": 2222, "816983": 2199, "817027": 2220, "8175": 2222, "8176": 2222, "817841": 2207, "818": 2258, "818058": 2207, "8181": 2222, "8182": 2222, "818577": 2207, "8187": 2222, "818705": 2204, "8188": 2228, "819": [2186, 2227], "8190": 2222, "819059": 2207, "8193": 2271, "819476": 2207, "819492": 2207, "8199": 2222, "82": [2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2207, 2208, 2209, 2210, 2211, 2212, 2218, 2220, 2222, 2226, 2228, 2230, 2232, 2235, 2241, 2246, 2271], "820": 2199, "820223": 2191, "820408": 2215, "820750": 2199, "8208": 2222, "820801": 2230, "8209": 2222, "820952": 2199, "821": 2199, "821225": 2205, "821428": 2218, "8215": 2222, "8217": 2222, "822": 2199, "822162": 2207, "8222": 2235, "822320": 2207, "822320e": 2191, "8226": 2222, "8227": 2232, "822726": 2199, "822756": 2207, "822775": 2207, "8230": 2222, "823014": 2207, "823197": 2207, "823242": 2186, "823540": 2207, "823553": 2210, "8236": 2222, "823647": 2195, "8239": 2228, "824095": 2215, "8242": 2222, "824246": 2186, "824375": 2185, "8245": 2222, "824568": 2216, "824590": [2184, 2195], "824758": 2215, "8252": 2222, "825394": 2207, "8254": [2232, 2241], "8258": 2222, "8260": 2228, "826008": 15, "8265": 2226, "8265909164": 2199, "826591": [2185, 2191, 2197, 2199], "826619": 2197, "8269": 2222, "827317": [15, 2185, 2197, 2199, 2202, 2215, 2257], "8276": 2232, "827892": 2218, "8279": 2222, "8281983": 2199, "828230": 2191, "828394": 2199, "828427": 1339, "8285": 2225, "8287": 2232, "828904": 2191, "8292": 2232, "829645": 2207, "829678": 2191, "829721": 2212, "83": [15, 24, 2184, 2185, 2186, 2188, 2191, 2193, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2207, 2208, 2209, 2210, 2211, 2212, 2218, 2222, 2223, 2226, 2228, 2230, 2232, 2235, 2241, 2246, 2271], "8302": 2224, "8303": 2222, "830429": 2207, "8305": 2222, "830545": 2199, "8306": [2243, 2246], "830957": 2207, "831269": 2186, "831973": 2207, "8325": [2224, 2228], "832585": 2204, "8327": 2226, "832706": 2207, "833069": 2207, "833175": 2207, "833468": 2207, "833491": 2207, "8341": 2230, "8345": 2222, "834518": 2199, "834659": 2207, "8349": 2222, "834997": 2207, "835": [2186, 2227], "835102": 2191, "83521": 2210, "835402": 2207, "835747": 2230, "8361": 2228, "836124": 2199, "8362": 2222, "8363": 2222, "8365": 2225, "836517": 2199, "836660": 1318, "836693": 2207, "8367": 2222, "8371": 2222, "837500": 2218, "8376": 2232, "8377": 2222, "837784": 2207, "837991": 2207, "838": 2199, "838161": 2207, "838166": 2207, "838258": 2207, "838665": 2207, "8387": 2222, "839002": 2207, "84": [31, 228, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2207, 2208, 2209, 2210, 2211, 2212, 2218, 2222, 2223, 2226, 2228, 2230, 2232, 2235, 2241, 2246], "8400": 2222, "840123": 2215, "840255": 2228, "840449": 15, "840607": 2186, "840870": 2197, "840938": 2207, "8409608": 2205, "841": 2193, "8411": 2222, "841217": 2207, "841655": 2207, "841669": 2210, "841858": 2207, "8419": 2235, "8420": 2224, "842023": 2197, "842205": 2186, "842346": 2207, "8425": 2249, "8428": 2223, "8430": 2222, "843157": 2184, "8435": [2199, 2294], "843575": 2207, "8437": 2222, "843767": 2207, "843822": 2207, "844115": 2207, "844274": 15, "8444": 2222, "8445": 2225, "844569": 2191, "844885": [15, 2185, 2186, 2191, 2197, 2199, 2202, 2215, 2216, 2219, 2235, 2241, 2264], "8449": 2191, "845172": 2199, "8452": 2224, "8453": 2222, "845520": 2207, "845555": 2214, "8456": 2223, "846154": 2222, "8467": 2222, "846958": 2197, "8470": 2202, "847097": 2199, "8471": 2222, "847970": 2207, "848": [16, 17, 18, 19, 2199, 2235], "8481": 2222, "8482": 2223, "848208": 2230, "8484": [2186, 2227], "8486": 2232, "848731": 2199, "848762": 2207, "848896": 2193, "848974": 2197, "849": [16, 17, 18, 19, 2199, 2235], "8494": 2223, "8496": 2241, "84960": 2210, "849980": 2195, "85": [182, 190, 193, 718, 760, 766, 768, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2207, 2208, 2209, 2210, 2211, 2218, 2222, 2223, 2226, 2228, 2230, 2232, 2235, 2241, 2246], "850": [16, 17, 18, 19, 2199, 2235], "850083": 2207, "8501": 2222, "850229": 2235, "850287": 2207, "8504": 2202, "850458": 2207, "8505": 2228, "850683": 2207, "850929": 2210, "851": 29, "8511": 2222, "851236": 2199, "8514": 2224, "851445": 2184, "851494": 2191, "8518": 2222, "8519": [182, 760], "852": [29, 2199], "8522": 2222, "852458": 2205, "852580": 2207, "8527": 2222, "852805": 2207, "853063": 2207, "8531": [2243, 2246], "853153": 2235, "8532": 2225, "854": 2199, "8540": 2265, "854096": 2207, "8543": 2222, "854477": 2197, "854483": 2191, "854552": 2207, "854775807": [924, 985, 2209, 2210], "855": 2199, "855167": 2207, "8552": 2224, "8554": 2246, "8558": 2224, "8559": 2224, "855932": 2214, "856": 2199, "856228": 2191, "856250": 31, "856283": 2207, "856545": 2207, "8566": 2257, "8569": 2237, "857": 2199, "857143": 2195, "857148": 2195, "857476": 2230, "857489": 162, "857704": [2184, 2185], "857759": 2207, "8578": 2223, "8582": 2223, "858221": 2207, "858377": 2207, "8584": 2224, "858447": [15, 2202], "858632e": 2191, "858644": 2199, "858888": 2218, "8589": 2223, "8591": 2223, "859155": 31, "8592": 2223, "8594": 2265, "859511": 2207, "859588": [2220, 2228, 2230, 2231], "8596": 2232, "859691": 2191, "85a3": 2241, "86": [16, 1433, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2207, 2208, 2209, 2210, 2211, 2212, 2218, 2222, 2223, 2226, 2228, 2230, 2232, 2235, 2241, 2246], "860": [182, 760, 2199], "860059": 2204, "8601": [662, 923, 983, 2199, 2209, 2210, 2230, 2235, 2241, 2271, 2277, 2283, 2298], "8602": 2224, "860312": 2199, "8607": 2223, "860736": 15, "8608": 2223, "860813": 2197, "8609": 2223, "86097": 2209, "861": [2199, 2259], "861040": 2220, "8612": 2223, "861228": 2218, "8613": 2225, "8614": 2223, "861549": 2214, "8616": [2243, 2246], "861651": 2207, "861755": 2229, "8618": [2184, 2186], "861816": 2216, "861849": [15, 2184, 2185, 2186, 2191, 2195, 2197, 2199, 2202, 2206, 2210, 2214, 2215, 2220, 2225, 2231, 2235, 2241, 2257, 2260], "862071": 1340, "862093": 2207, "8621": 2224, "862288": 2207, "8623": 2223, "8624": 2223, "862495": [2184, 2195, 2214], "8625": [24, 25, 2235], "8626": 2223, "8628": 2277, "862877": 2217, "863": [16, 17, 18, 19, 2199, 2235], "863171": 2207, "8633": 2224, "863497": 2207, "863638": 2191, "863670": 2197, "863772": 2204, "863776": 2207, "863838": [2185, 2197], "8639": [2224, 2227], "864": [16, 17, 18, 19, 2199, 2207, 2235], "86400": [683, 2209, 2298], "86400000000000": 2209, "86400000010u": 2210, "8641": 2224, "864436": 2207, "8645": 2223, "86460": 2228, "8648": 2224, "864883": 2197, "864890": 2186, "865": [16, 17, 18, 19, 2199, 2235], "86520000003042": 918, "8653": 2225, "865414": 2228, "865621": 2210, "8658": 2223, "8661": 2224, "866184": 2199, "866240": 2219, "8664": 2230, "866554": 2207, "866667": 2195, "8667": 2224, "86674": 2229, "8669": [2223, 2241], "867558": 2207, "867681": 2207, "8679": 2224, "867969": 2230, "868": 2207, "8680": 2223, "8681": 2224, "868210": 2207, "8683": 2224, "8685": 2228, "868579": 2207, "868584": 2197, "8687": 2223, "8688": 2225, "8689": 2223, "868951": 2207, "869081": 2199, "869127": 2230, "869226": 2186, "869339": 2207, "869551": 2191, "8697": 2224, "87": [15, 18, 133, 196, 208, 242, 283, 586, 708, 771, 782, 817, 910, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2218, 2222, 2223, 2226, 2228, 2230, 2232, 2235, 2241, 2246, 2298], "8701": 2223, "8702": 2223, "8703": 2223, "870756e": 2195, "8710": 2223, "871016": 2204, "871018": 2207, "871023": 2207, "8711": 2235, "871259": 2186, "871850": 2230, "872": [2186, 2227], "8722": 2223, "8725": 2232, "872644": 2199, "872685": 2207, "872735": 2184, "8728": 2225, "8730": 2225, "8733": 2224, "873316": 2201, "873389": 2210, "8735": 2228, "8737": 2223, "874": [2199, 2259], "8741": 2223, "8744": 2225, "874441": 2207, "874691": 2207, "874737": 2193, "875": [2186, 2222, 2227, 2259], "875000": 31, "875071": 2207, "875224": 2207, "8753": 2224, "8754": 2224, "875476": 18, "875579": 2205, "8757": 2224, "875772": 2217, "875802e": 2191, "875906": [2185, 2197, 2199, 2202, 2204, 2215], "875933": 2230, "876": 1433, "8761": 2224, "876100": 2186, "876341": 2199, "8765": 2224, "876654": 2199, "876808": 2207, "877025": 2199, "877046": 2214, "8771": 2224, "8772": 2224, "877353": 2207, "877384e": 2204, "877657": 2199, "8778": 2224, "8781": 2224, "8783": 2224, "878575": 2207, "8790": 2228, "8791": 2224, "879103": 2207, "8794": 2225, "8795": 2224, "879536": 2229, "879758": 2216, "88": [15, 188, 189, 207, 764, 765, 781, 1447, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2207, 2208, 2209, 2210, 2211, 2212, 2218, 2220, 2222, 2226, 2228, 2230, 2232, 2235, 2241, 2246, 2298], "880": 5, "880077": 2207, "8801": 2226, "880331": 2207, "880609": 15, "880680": 2207, "880838": 2218, "8813": 2224, "881334": 2191, "881376": 2204, "882": [27, 2259], "8822": 2226, "8823": 2226, "8825": 2235, "8826": 2246, "882641": 2230, "8831": 2224, "8833": 2224, "883333": 2222, "883362": 2207, "8835": 2224, "8836": 2224, "883656": 2184, "8839": 2246, "88427": 2257, "884345": [2184, 2214], "8844": 2224, "884519": 2191, "884586": 2210, "8846": 2224, "884785": 2195, "8848": 2230, "885": 2259, "8850": 2224, "885047": 2204, "8852": 2224, "885230": 2191, "885279": 2219, "885648": 2186, "886": [24, 25, 32], "886236": 2207, "8863": 2202, "88641": 2191, "88643": 2191, "8865": 2224, "8866": 2224, "8868": 2225, "887": [24, 25, 32], "887163": [2220, 2228, 2230, 2231], "887184": 2207, "887302e": 2191, "887304": 2199, "8874": 2227, "8875": [2225, 2226], "887508": 2186, "8877": 2225, "887786": 2207, "888": [24, 25, 32, 2199, 2207], "8882": 2228, "8884": 2224, "888657": 2214, "888747": 15, "8888": 2225, "888893": 2207, "889": [24, 25, 32, 2199], "8890": [2224, 2225], "889157": 2235, "889273": 2235, "889493": 2186, "889659": 2186, "889987": 2205, "89": [207, 781, 1433, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2207, 2208, 2209, 2210, 2211, 2218, 2220, 2222, 2226, 2228, 2230, 2232, 2235, 2241, 2246, 2298], "890": [24, 25, 32, 2197, 2199], "8904": 2224, "890546": 2186, "890819": 2206, "8909": 2224, "891": [24, 25, 28, 32, 2197, 2199], "8910": [2243, 2246], "891236": 2193, "8917": 2246, "891773": 2166, "891939": 2197, "892029": 2235, "892516": 2186, "892667": 2207, "892858": 2218, "893": [2186, 2197, 2259], "8932": 2246, "893220": 2207, "8938": 2224, "8943": 2225, "894409": 2197, "894427": 1318, "894701": 2230, "89474": 2191, "89480": 2191, "89481": 2191, "89482": 2191, "89489": 2191, "89493": 2191, "89494": 2191, "89495": 2191, "89497": 2191, "89498": 2191, "89499": 2191, "89501": 2191, "89502": 2191, "895202": [102, 1158], "89521": 2191, "89523": 2191, "89525": 2191, "89526": 2191, "8953": [2241, 2246], "89530": 2191, "89533": 2191, "89534": 2191, "895467": 2207, "8957": 2191, "895717": [2185, 2197, 2199, 2202, 2204, 2215, 2257], "895919": 2218, "8961": [2226, 2228], "896165": 2197, "896171": [2185, 2191, 2197, 2199], "8965": 2224, "896552": 31, "896581": 2235, "896686": 2191, "896839": 2186, "8969": 2224, "897157": 2220, "897237": [2224, 2228], "8979": 2225, "898": 2199, "8980": [2223, 2224], "8983": 2224, "8984": 2202, "8984347": 2202, "8986": 2225, "898725": 2197, "898872": 2214, "8989": 2224, "899": 2199, "8991": 2289, "899173761": 2199, "899260": 15, "8994": 2224, "899734": 15, "8999": 2229, "8a2e": 2241, "8em": 2207, "8h": 2294, "8x": 2228, "9": [5, 10, 15, 16, 17, 18, 19, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 63, 69, 72, 73, 74, 77, 79, 81, 84, 88, 92, 108, 109, 111, 113, 120, 129, 137, 144, 146, 160, 163, 171, 173, 183, 185, 186, 187, 197, 199, 203, 204, 206, 212, 213, 215, 216, 217, 220, 221, 222, 228, 234, 244, 256, 265, 274, 275, 280, 284, 341, 345, 440, 564, 566, 583, 591, 595, 600, 603, 616, 635, 720, 738, 741, 761, 762, 763, 787, 788, 888, 895, 907, 912, 923, 1021, 1075, 1147, 1148, 1149, 1150, 1151, 1157, 1160, 1161, 1162, 1163, 1168, 1170, 1171, 1173, 1176, 1178, 1181, 1185, 1186, 1188, 1189, 1191, 1196, 1197, 1200, 1203, 1206, 1209, 1210, 1214, 1217, 1218, 1219, 1220, 1225, 1227, 1228, 1233, 1237, 1240, 1246, 1247, 1249, 1250, 1252, 1257, 1258, 1261, 1265, 1268, 1273, 1277, 1278, 1279, 1288, 1293, 1304, 1321, 1336, 1340, 1400, 1402, 1406, 1407, 1433, 1435, 1436, 1440, 1448, 1454, 1456, 1463, 1478, 1479, 1489, 1490, 1578, 1598, 1677, 1758, 1839, 1876, 1894, 1912, 1964, 2018, 2166, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2222, 2224, 2225, 2226, 2227, 2229, 2230, 2231, 2232, 2235, 2238, 2240, 2241, 2246, 2249, 2260, 2261, 2265, 2271, 2274, 2276, 2277, 2278, 2283, 2289, 2294, 2298, 2302, 2307], "90": [74, 137, 182, 213, 583, 760, 788, 1173, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2207, 2208, 2209, 2210, 2211, 2218, 2220, 2222, 2226, 2228, 2230, 2232, 2235, 2241, 2246, 2249, 2271, 2298], "900": [74, 583], "9000": [2185, 2220, 2224], "900000": 2218, "90010907": [624, 1215], "9002": 2230, "9003": 2228, "900321": 2199, "9005": 2232, "9009": 2225, "900906": 2207, "901": 2199, "9011": 2224, "9012": 2224, "9016": 2225, "902": 2199, "903": [2193, 2199], "9031": 2246, "903246": 2207, "903450": 1340, "9037": 2225, "903794": 2186, "904": 2199, "9046": 2277, "904807": 2191, "9049": 2225, "905": 2199, "905029": 2207, "905122": 2199, "9052": 2230, "9054": 2226, "9057": 2227, "905793e": 2204, "905836": 2215, "9059": 2227, "9064": 2225, "9066": 2225, "9067": 2202, "9068": 2226, "9070": 2249, "9071": 2225, "907105": 2229, "907108": 2207, "9075": 2225, "907653": 2207, "9079": 2225, "908102": 2199, "9082": 2225, "908296": 2199, "9083": 2225, "9085": 2225, "9086": 2246, "9088": 2225, "9093": 2271, "909316": 2230, "9094": 2225, "909500": 2195, "9096": 2225, "909872": 2185, "9099": 2225, "91": [15, 182, 760, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2207, 2208, 2209, 2210, 2211, 2218, 2220, 2222, 2226, 2228, 2230, 2232, 2235, 2241, 2246, 2294, 2298], "9100": 2225, "910199": 2199, "910400": 28, "911055": 2195, "911128": 2207, "911385": 2207, "9114": 2232, "911414": 2207, "9116": 2225, "911743": 2207, "9118": 2228, "9119": 2246, "912": 2199, "912123": 2186, "912140": 2207, "912265": 2195, "9125": 2225, "9126": 2225, "9129": 2225, "913": [2194, 2199], "913052": 2197, "9136": 2225, "9139": 2225, "914": 2194, "9140": 2225, "914290": 2207, "914341": 2207, "9144": 2225, "914415": 2207, "9146": 2241, "914863": 2207, "915": 2199, "9151": 2225, "915427": 2207, "9155": 2241, "9157": 2228, "915709": 28, "915716": 2197, "9158": 2226, "916": 2194, "9161": 2232, "916146": 2207, "9163": 2225, "916667": [283, 910, 1205, 1267, 1320], "9167": 2225, "916901": 2210, "9169013294054507": 2210, "916949": 1323, "9169493": 1323, "917243": 1340, "9173": 2225, "917776": 2207, "9178": 2231, "917897": 2199, "918": 2259, "9180": 2232, "918008": 2207, "918201": 2195, "918376": 2199, "9184": 2225, "9185": 2225, "918553": 2207, "9186": 2257, "918953": 2207, "9190": 2225, "919069": [2184, 2214], "9192": 2225, "919339": 2219, "919540": 2214, "919624": 2191, "9197": 2225, "919854": [2184, 2195, 2214], "92": [15, 1447, 2184, 2185, 2186, 2188, 2191, 2193, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2207, 2208, 2209, 2210, 2211, 2218, 2220, 2222, 2226, 2227, 2230, 2232, 2235, 2241, 2246, 2255, 2298], "920046": 2197, "9201": 2225, "920379": 2230, "9204": 2225, "9205": 2225, "920733": 2207, "9208": 2246, "920830": 2216, "9209": 2202, "9210": 2225, "921208": 2207, "921215": 2207, "921297": [102, 1158], "921494": 15, "9217": 2235, "9218": 2228, "922": [2186, 2227], "9221": 2225, "922152": 2199, "9223372036854775808": [1499, 2294], "922818": 2184, "922883": 2210, "9229": [2202, 2225], "923061": [2185, 2197, 2199, 2202, 2204, 2215, 2257], "9231": [2191, 2225], "923568": 2204, "924": 2263, "924296": 2195, "9243": 2246, "9244": 2230, "924556": 2205, "924570": 2207, "9247": 2225, "924868": 2230, "9250": [24, 25, 28, 29, 32, 2225], "925372": 2215, "9255": 2225, "925544": 2207, "9258": 2225, "926": [2197, 2231], "926075": 2197, "926087": 2218, "926089": 2216, "9263": 2230, "9266": 2228, "926790": 2199, "927": 2205, "9272": 2225, "927226": 2207, "9273": 2225, "927462": 2229, "927764": 2215, "928": 2264, "9280": 2225, "928033": 2207, "928123": [2184, 2214], "9282": 2225, "9284": 2225, "928950": 2201, "929249": [16, 19], "929548": 2197, "929553": 2199, "929556": 2207, "929561": 2207, "929563": 2191, "929567": 2191, "9297": 2230, "93": [15, 718, 1447, 2184, 2185, 2186, 2188, 2191, 2193, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2207, 2208, 2209, 2210, 2211, 2214, 2218, 2220, 2222, 2226, 2230, 2232, 2235, 2246, 2257, 2298], "930": [2193, 2289], "930201": 2191, "9304": 2283, "930687": 2217, "930806": 2210, "9309": 2271, "9311": [2225, 2228], "931203": 2204, "931253": 2210, "9313": 2238, "931536": 2210, "931802": 2207, "932": 2202, "932053": 2199, "932132": [2184, 2195, 2214], "932171": 2199, "9322": 2225, "932249": 2191, "932592": 2207, "9327": 2227, "932714": 2207, "9330": 2226, "9331": 2225, "933140": 2230, "933653": 2214, "933753": 2193, "933792": 2216, "9344": 2225, "9345": 2228, "9347": 2225, "934975": 2207, "935076": 2207, "9351": 2235, "935120": 2207, "9352": 2225, "935220": 1317, "935834": 2229, "935890": 2207, "936077": 2186, "936154": 2230, "936856": 15, "937266": 2207, "937326": 2207, "937976": 2207, "938153": 2235, "9382": 2228, "938225": 2191, "9386": 2225, "9387": 2225, "938819": 2204, "939": 2230, "939036": 2207, "939145": 2207, "939470": 2199, "939652": 2207, "9398": 2225, "94": [15, 282, 2184, 2185, 2186, 2188, 2191, 2192, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2207, 2208, 2209, 2210, 2211, 2218, 2220, 2222, 2226, 2230, 2232, 2235, 2246], "9402": 2228, "941248": 2199, "9413": 2238, "941451": 2210, "9416": 2228, "9422": 2238, "942321": 2207, "9424": 2232, "9425": 2227, "9426": 2225, "942622": 2207, "942781": 15, "9428": 2228, "942870": 2228, "9429": 2225, "942941": 2195, "943009": 2199, "9431": 2228, "943173": 2230, "943285": 2210, "9435": 2289, "943536": 2207, "9439": 2225, "9440": 2225, "9442": 2228, "9443": 2225, "9444": 2225, "944446": 2207, "9445": 2225, "944953": 2210, "9450": 2225, "9452": 2225, "9455": 2231, "945553": 2235, "9456": 2227, "945867": [2184, 2195, 2214], "945m": 2202, "945u": 2202, "946": 2194, "946057": 2207, "946180": 2186, "9463": 2225, "9464": 2225, "946550": 15, "946584": 2207, "9466": 2246, "946684800000000000": 2246, "9467": 2231, "9468": 2225, "9469": 2225, "947": 2194, "947296": 2207, "947422": 2199, "9477": 2225, "9478": 2225, "947959": 2207, "948": 2194, "948318": 2207, "948458": 2197, "9491": 2225, "949264": 2210, "9493": [2225, 2265], "9494": 2230, "9497": 2225, "949707": 2207, "949747": [1269, 1270], "949965": 2217, "95": [15, 133, 208, 586, 708, 782, 1447, 1456, 2184, 2185, 2186, 2188, 2191, 2192, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2207, 2208, 2209, 2210, 2211, 2218, 2220, 2222, 2226, 2230, 2232, 2235, 2246, 2298], "950": [2194, 2207], "9500": [183, 761], "950057": 15, "950088": 2207, "950146": 2210, "950460": 2199, "950775": 2207, "950858": 2186, "950920": 29, "9512": 2225, "9513": 2228, "9516": 2225, "951611": 2199, "951676": 2191, "9518": 2228, "952478": 2235, "953324": [2220, 2230], "9535": 2228, "9536": 2271, "953632": 2199, "95367431640625": 2298, "9539": 2271, "953953": 2199, "9542": 2226, "9542078401": 2199, "954208": [2185, 2197, 2199, 2202], "9543": 2227, "954504": 2230, "954680": 2184, "954773": 2207, "9552": 2226, "955398": 2191, "9556635297215477": 2206, "955697": 2214, "9557": 2206, "955755": 2207, "9558": 2228, "956030": [2184, 2195, 2214], "956060": 2207, "956153": 2206, "956321": 2207, "95638": 2206, "9565": 2227, "956737": 2186, "9568": 2294, "956850": 2186, "9570": 2226, "9572": 2225, "957208": 2205, "9573": 2228, "957427": 1318, "957545": 2207, "9576": 2228, "957923": 2197, "957963": 2207, "958139": 2230, "9586": 2307, "958621": [218, 793], "9589": 2228, "9596": 2226, "9597255933": 2199, "959726": [2185, 2197, 2199, 2202], "959844": 2207, "96": [586, 1447, 2184, 2185, 2186, 2188, 2191, 2192, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2207, 2208, 2209, 2210, 2211, 2218, 2222, 2223, 2226, 2230, 2231, 2232, 2235, 2246], "960": 2205, "9602": 2225, "9603": 2226, "960464477539062e": 2298, "9605": 2277, "960500": 2219, "9607": 2228, "960819": 2207, "9610": 2226, "961133": 2207, "961193": 2207, "9615": 2225, "961538": 2235, "9617": 2225, "9618": 2228, "961912": 2257, "962215": 2191, "962232": 2195, "962513": 2186, "963": 2199, "9632": 2226, "9635": 2226, "9636": 2225, "963663": 2166, "964": 2197, "964346": 2207, "964475": 2197, "9648": 2225, "965": [2197, 2205], "965656": 2199, "965663": 2197, "966": 2197, "9663": 2227, "966718": [2224, 2228], "966995": 2207, "967": 2197, "9671": 2226, "9675": 2226, "9676": 2226, "968": [2186, 2197], "9680": 2226, "968304": 2207, "968344": 15, "9685": 2226, "9688": 2226, "9689": 2191, "968914": [2185, 2197, 2199, 2215, 2218, 2219], "969": 2197, "969051": 2210, "969092e": 2191, "969124": 2186, "969126": 2207, "969232": 2191, "969363": 2207, "969691": 2214, "969697": 31, "9697": 2226, "969883": 1010, "969917": 2207, "96hr": 234, "97": [31, 196, 771, 1447, 2184, 2185, 2186, 2188, 2191, 2193, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2207, 2208, 2209, 2210, 2211, 2218, 2222, 2226, 2228, 2230, 2232, 2235, 2246], "970": 2197, "9700": 2226, "970121": 28, "971": [2197, 2294], "9710": 2226, "971205": 15, "9713": 2226, "9714": 2230, "971495": 2230, "971944": 2207, "972": 2193, "972048": 2207, "972057": 2207, "9727": 2226, "972837": 2195, "9731": 2226, "973118": 2184, "9736": 2228, "974": 2205, "974466": [2185, 2197, 2199, 2202, 2204, 2215], "974503": 2207, "9746": 2230, "974697": 2207, "974699": 2207, "974836": 2207, "974967": 2219, "975": [2186, 2227], "9755": 2231, "9756": 2226, "9757": 2226, "975807": 2195, "975883": 2207, "975895": 2210, "975900": 1306, "9760": 2228, "9764": 2226, "9765": 2231, "9766": 2226, "976712": 2210, "976951": 2207, "977": [2193, 2199, 2205, 2207], "9770": 2226, "9772": 2277, "977278": 2207, "9773": 2226, "977349": [15, 2191], "9776": 2226, "977612": 31, "9777": 2226, "977759": 2195, "977795": [102, 1158], "9778": 2226, "977802": 1298, "977822": 2207, "9779": 2226, "978": 2199, "9780": [2241, 2246], "978151": 2210, "978171": 2214, "978262": 2207, "9783": 2226, "978393600": [2199, 2215], "9784": 2265, "9785": 2226, "9787": 2226, "978736": 2229, "978738": 2207, "978743": 2186, "978838": 2207, "978919": 2207, "979": 2199, "979140": 2207, "9792": 2227, "9794": 2226, "9795": 2226, "979542": 2185, "979573": 2207, "979600": 2186, "9798": 2226, "98": [15, 1447, 2184, 2185, 2186, 2188, 2191, 2192, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2207, 2208, 2209, 2210, 2211, 2218, 2222, 2226, 2230, 2232, 2235, 2238, 2246, 2294], "980": 2199, "9804": 2226, "9805": 2226, "9807": 2226, "980796": 2207, "980950": 2195, "981": [2199, 2207], "981293": 2207, "9816": 2228, "981683": 2207, "981845": 2199, "981981": 1306, "982": 2199, "982353": 29, "982405": 2184, "9827": 2226, "982821": 1298, "9832": 2226, "983776": 2195, "984": 2199, "984017": 2204, "984435": 2219, "9847": 2226, "984729": 2214, "9848": 2226, "984810": 2210, "984960": 2197, "9850": 2231, "9852": 2226, "9853": 2226, "9856": 2226, "985655": 2199, "9861": 2226, "986137": 2191, "9862": [2226, 2246], "986207": [218, 793, 1340], "986248": 15, "986678": 2204, "987": 2205, "987309": 2210, "987349": 2186, "9874": 2226, "987713": 2207, "988": 2205, "988045": 2199, "988138": 2235, "9882": 2228, "988387": [2191, 2197], "9885": 2226, "988537": 2207, "988693": [155, 156, 730, 731], "9890": 2226, "9894": 2228, "9895": 2235, "989634": 2204, "989726": 2207, "989859": 2185, "99": [15, 22, 145, 163, 284, 532, 741, 912, 1447, 1456, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2207, 2208, 2209, 2210, 2211, 2218, 2222, 2226, 2230, 2232, 2235, 2246, 2294, 2307], "990": [2199, 2230], "9900": 2199, "990000": 1894, "990317": 2199, "990340": 2207, "9905": 2226, "990582": [2184, 2195, 2214], "9907": 2228, "990810": 2235, "990921": 2204, "991": [2199, 2230], "9910": 2226, "991043": 2207, "991234": 2191, "991460": [2184, 2214], "991575": 2195, "991803": 1303, "991946": [2220, 2230], "991993": 2214, "992": [1343, 2199, 2205, 2230], "992033": 2205, "992052": 2207, "9921": 2226, "9923": 2202, "9925": 2226, "9926": 2227, "9927": 2226, "993": [2185, 2199, 2230], "9930": 2235, "993103": 18, "993865": 2191, "9939": 2226, "993962": 2185, "994": [1343, 2199, 2230], "9940": 2226, "994271": 2207, "9943": 2246, "994401": 2207, "9947": 2228, "995": [15, 2193, 2195, 2199, 2230], "995247": 2204, "995460": 2204, "995732": 586, "9957609037": 2199, "995761": [2185, 2197, 2199, 2202], "995893": 1301, "9959": 2277, "996": [436, 908, 2193, 2195, 2199, 2230], "996000": 2232, "996258": 2207, "9964": 2226, "996428": 2218, "996596": 2207, "9968": [2194, 2222], "996871": 2207, "997": [2186, 2193, 2195, 2199, 2205, 2230], "997345": [2166, 2218, 2229], "998": [2186, 2193, 2195, 2199, 2230], "9980": [2202, 2226], "998000": 2232, "998438": [102, 1158], "999": [532, 573, 853, 861, 1309, 1326, 2186, 2193, 2195, 2199, 2202, 2227, 2229, 2230, 2232, 2261, 2298, 2307], "999000": 1876, "999072": 2207, "9992": 2226, "999359": 31, "9995": [2206, 2226, 2232], "999552": 2206, "9996": 2206, "999600": 2232, "9997": 2206, "9998": 2206, "999874": 1309, "9999": [2206, 2210, 2225, 2232], "99991231": 2210, "999946": 1326, "99999": 597, "999997": 2209, "999999": [144, 532, 1964, 2199, 2209, 2222], "999999999": [278, 331, 519, 531, 532, 549, 561, 651, 676, 686, 904, 2210, 2228, 2241, 2246, 2264], "9am": 2210, "9e11": 2210, "9h": 2185, "A": [1, 2, 3, 4, 6, 10, 13, 14, 15, 16, 17, 18, 19, 22, 23, 24, 25, 26, 28, 29, 30, 31, 32, 34, 35, 36, 40, 42, 49, 54, 56, 60, 62, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 80, 81, 83, 84, 85, 88, 89, 91, 92, 93, 94, 95, 102, 103, 104, 105, 106, 107, 109, 111, 117, 118, 120, 123, 124, 125, 127, 128, 129, 130, 132, 134, 135, 137, 138, 141, 143, 144, 151, 153, 154, 157, 158, 159, 160, 161, 163, 167, 168, 169, 171, 173, 175, 180, 183, 184, 185, 186, 188, 189, 190, 191, 193, 194, 195, 196, 197, 199, 202, 203, 204, 206, 207, 208, 209, 210, 212, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 226, 227, 233, 234, 236, 238, 239, 240, 243, 244, 247, 250, 251, 253, 256, 257, 259, 261, 265, 266, 267, 268, 272, 273, 275, 276, 278, 280, 282, 284, 288, 296, 303, 318, 330, 331, 337, 339, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 356, 357, 377, 386, 402, 405, 418, 420, 428, 434, 437, 439, 445, 449, 459, 462, 467, 477, 478, 492, 494, 495, 503, 532, 541, 579, 580, 581, 582, 583, 585, 592, 594, 595, 596, 600, 601, 603, 613, 615, 616, 625, 626, 627, 628, 629, 633, 639, 652, 655, 673, 682, 685, 686, 693, 700, 701, 703, 704, 705, 709, 713, 714, 715, 716, 717, 719, 728, 732, 733, 738, 741, 761, 762, 764, 765, 766, 767, 768, 769, 770, 771, 781, 782, 784, 787, 793, 798, 799, 802, 807, 812, 815, 816, 818, 819, 820, 821, 823, 824, 827, 828, 829, 836, 837, 838, 839, 840, 841, 842, 843, 844, 846, 848, 857, 866, 867, 869, 870, 872, 880, 883, 884, 886, 888, 890, 893, 895, 896, 900, 902, 904, 905, 909, 911, 912, 940, 943, 948, 957, 970, 997, 1014, 1031, 1035, 1056, 1059, 1067, 1068, 1069, 1070, 1071, 1072, 1076, 1077, 1118, 1121, 1123, 1124, 1125, 1128, 1131, 1140, 1141, 1142, 1146, 1148, 1149, 1152, 1153, 1154, 1158, 1159, 1164, 1166, 1167, 1168, 1169, 1172, 1173, 1177, 1179, 1183, 1187, 1188, 1193, 1194, 1196, 1201, 1203, 1211, 1212, 1216, 1221, 1223, 1224, 1225, 1226, 1229, 1230, 1231, 1232, 1236, 1238, 1244, 1248, 1249, 1254, 1255, 1257, 1262, 1263, 1269, 1270, 1276, 1281, 1289, 1304, 1309, 1316, 1317, 1318, 1320, 1321, 1326, 1333, 1334, 1335, 1336, 1337, 1343, 1345, 1348, 1350, 1358, 1380, 1381, 1382, 1383, 1385, 1387, 1388, 1390, 1391, 1394, 1395, 1396, 1397, 1398, 1399, 1400, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1421, 1422, 1424, 1430, 1431, 1432, 1433, 1434, 1436, 1443, 1445, 1446, 1447, 1448, 1453, 1454, 1458, 1460, 1461, 1462, 1463, 1465, 1466, 1468, 1469, 1470, 1471, 1472, 1474, 1475, 1476, 1477, 1478, 1480, 1482, 1484, 1485, 1486, 1487, 1488, 1490, 1493, 1498, 1506, 1524, 1542, 1560, 1741, 1793, 1815, 1857, 1982, 2000, 2036, 2054, 2108, 2127, 2145, 2166, 2167, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2196, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2235, 2236, 2238, 2241, 2243, 2246, 2247, 2248, 2249, 2250, 2260, 2261, 2264, 2265, 2271, 2277, 2283, 2289, 2294, 2295, 2297, 2298, 2302, 2304, 2307], "AND": [18, 34, 1091, 1478, 2197, 2230], "AS": [18, 34, 2238, 2307], "And": [0, 3, 4, 25, 197, 2185, 2186, 2192, 2197, 2199, 2210, 2230, 2238, 2271], "As": [2, 3, 6, 7, 9, 10, 13, 16, 17, 18, 19, 23, 25, 26, 28, 29, 31, 32, 46, 160, 251, 258, 259, 265, 266, 268, 272, 363, 738, 884, 889, 890, 895, 1118, 1148, 1149, 1416, 1469, 1476, 1478, 1479, 1480, 1485, 1486, 1487, 1499, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2195, 2197, 2199, 2202, 2204, 2205, 2206, 2207, 2209, 2210, 2211, 2212, 2216, 2217, 2218, 2220, 2222, 2223, 2227, 2228, 2230, 2232, 2235, 2238, 2241, 2246, 2249, 2257, 2265, 2271, 2277, 2278, 2283, 2289, 2294, 2298, 2302, 2307, 2309, 2310], "At": [5, 35, 169, 224, 462, 1128, 1446, 1448, 2240, 2289], "BE": [29, 34, 2298], "BUT": 34, "BY": [16, 20, 21, 34, 2195, 2218, 2307], "BYS": 2210, "Be": [5, 13, 44, 186, 278, 331, 686, 762, 904, 1188, 1249, 2167, 2188, 2199, 2207, 2210, 2260], "Being": [2, 2191], "But": [3, 6, 13, 162, 193, 768, 1031, 2186, 2192, 2197, 2198, 2199, 2207, 2246, 2257, 2261, 2271, 2307], "By": [5, 8, 10, 13, 17, 18, 24, 26, 30, 31, 32, 77, 88, 91, 97, 103, 104, 105, 106, 107, 112, 116, 126, 130, 134, 139, 140, 144, 152, 172, 186, 187, 200, 201, 205, 207, 213, 214, 219, 233, 238, 240, 245, 247, 256, 259, 261, 262, 267, 269, 272, 281, 282, 325, 328, 342, 346, 364, 367, 373, 429, 431, 433, 464, 575, 600, 620, 625, 626, 627, 628, 629, 692, 702, 709, 762, 763, 774, 775, 778, 781, 788, 807, 816, 821, 879, 880, 888, 890, 896, 914, 950, 952, 972, 983, 1031, 1035, 1043, 1117, 1130, 1142, 1164, 1174, 1175, 1188, 1204, 1221, 1249, 1342, 1344, 1447, 1452, 1458, 1469, 1470, 1476, 1485, 1486, 1487, 1492, 1793, 1815, 2184, 2188, 2191, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2207, 2208, 2210, 2211, 2212, 2222, 2226, 2235, 2238, 2239, 2241, 2277], "FOR": [34, 2199], "For": [0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 34, 35, 41, 42, 45, 51, 52, 53, 54, 57, 60, 61, 62, 63, 68, 69, 70, 71, 75, 76, 77, 79, 80, 84, 85, 88, 89, 90, 91, 92, 97, 101, 102, 103, 104, 105, 106, 107, 108, 109, 111, 113, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 134, 136, 137, 146, 153, 155, 156, 157, 158, 163, 164, 165, 166, 170, 171, 173, 176, 183, 184, 186, 188, 189, 190, 191, 194, 195, 197, 199, 200, 201, 203, 204, 205, 206, 207, 210, 212, 213, 215, 216, 217, 218, 220, 221, 222, 223, 225, 226, 230, 232, 233, 234, 240, 242, 244, 245, 248, 249, 251, 253, 254, 256, 258, 259, 260, 261, 262, 263, 264, 265, 267, 268, 272, 275, 276, 278, 280, 283, 284, 286, 287, 289, 293, 295, 298, 302, 304, 305, 310, 317, 321, 323, 324, 329, 331, 341, 343, 344, 345, 355, 376, 380, 381, 402, 403, 406, 408, 411, 412, 424, 425, 430, 432, 437, 441, 442, 443, 444, 447, 448, 453, 454, 460, 468, 476, 477, 478, 513, 515, 519, 535, 547, 548, 549, 551, 574, 575, 577, 579, 580, 584, 585, 586, 590, 591, 592, 595, 596, 600, 601, 602, 606, 607, 608, 610, 613, 614, 615, 616, 620, 625, 626, 627, 628, 629, 630, 633, 635, 641, 645, 647, 648, 651, 656, 657, 664, 669, 671, 675, 678, 679, 684, 686, 696, 697, 699, 700, 701, 702, 703, 704, 709, 712, 713, 718, 720, 727, 730, 731, 732, 733, 740, 741, 742, 743, 744, 746, 751, 752, 761, 762, 764, 765, 766, 767, 769, 770, 774, 775, 778, 781, 784, 787, 788, 789, 793, 798, 800, 801, 804, 805, 806, 807, 808, 811, 816, 817, 821, 822, 823, 824, 825, 827, 828, 829, 830, 831, 832, 835, 847, 850, 851, 858, 859, 860, 862, 866, 867, 877, 879, 881, 882, 884, 886, 888, 889, 890, 891, 892, 893, 895, 896, 902, 904, 910, 912, 939, 942, 944, 945, 946, 947, 949, 953, 1014, 1027, 1028, 1029, 1030, 1031, 1034, 1040, 1052, 1056, 1063, 1064, 1068, 1069, 1071, 1072, 1076, 1090, 1091, 1118, 1122, 1126, 1132, 1139, 1142, 1143, 1145, 1147, 1148, 1149, 1150, 1151, 1154, 1157, 1158, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1170, 1171, 1173, 1174, 1175, 1176, 1178, 1179, 1180, 1181, 1185, 1186, 1188, 1189, 1191, 1193, 1195, 1196, 1197, 1198, 1199, 1200, 1202, 1203, 1205, 1206, 1207, 1208, 1209, 1210, 1214, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1227, 1228, 1230, 1233, 1237, 1238, 1239, 1240, 1245, 1246, 1247, 1249, 1250, 1252, 1254, 1256, 1257, 1258, 1259, 1260, 1261, 1263, 1264, 1267, 1268, 1273, 1277, 1278, 1279, 1280, 1284, 1287, 1288, 1292, 1293, 1300, 1302, 1305, 1310, 1311, 1312, 1313, 1318, 1319, 1320, 1322, 1327, 1328, 1329, 1330, 1335, 1336, 1337, 1343, 1344, 1345, 1350, 1352, 1380, 1381, 1385, 1387, 1388, 1389, 1391, 1393, 1400, 1407, 1417, 1431, 1433, 1441, 1442, 1447, 1449, 1450, 1453, 1458, 1467, 1469, 1470, 1471, 1472, 1473, 1475, 1476, 1477, 1478, 1479, 1480, 1485, 1486, 1487, 1488, 1490, 1498, 1741, 1793, 1815, 1857, 2166, 2167, 2169, 2180, 2184, 2185, 2186, 2187, 2188, 2191, 2192, 2193, 2194, 2195, 2196, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2207, 2208, 2209, 2210, 2211, 2212, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2244, 2245, 2246, 2249, 2250, 2251, 2252, 2253, 2254, 2255, 2256, 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, 2310], "IF": [17, 34], "IN": 34, "IT": [176, 179, 182, 760, 2261], "If": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 13, 18, 22, 23, 27, 28, 34, 39, 41, 44, 49, 50, 53, 56, 58, 60, 61, 62, 63, 65, 66, 69, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 83, 84, 88, 89, 91, 94, 96, 97, 101, 103, 104, 105, 106, 107, 109, 110, 111, 112, 113, 114, 117, 120, 121, 122, 123, 124, 125, 127, 128, 129, 130, 131, 133, 134, 136, 137, 139, 140, 144, 146, 147, 152, 153, 157, 158, 160, 162, 163, 164, 167, 168, 169, 170, 171, 172, 173, 182, 183, 184, 185, 186, 188, 189, 191, 192, 194, 195, 196, 199, 200, 201, 202, 204, 206, 207, 209, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 230, 233, 234, 238, 242, 244, 245, 248, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 269, 270, 272, 273, 275, 276, 277, 278, 279, 280, 282, 283, 284, 285, 286, 288, 296, 318, 321, 328, 330, 331, 337, 341, 345, 351, 354, 359, 360, 362, 363, 364, 368, 370, 371, 376, 383, 386, 401, 403, 404, 405, 417, 420, 421, 423, 425, 426, 427, 430, 433, 434, 435, 436, 459, 462, 463, 464, 466, 476, 483, 486, 487, 490, 491, 492, 493, 494, 500, 501, 502, 509, 510, 511, 513, 515, 529, 535, 568, 573, 578, 581, 582, 583, 584, 585, 586, 587, 588, 590, 591, 592, 594, 595, 597, 600, 601, 603, 605, 608, 611, 613, 614, 615, 619, 620, 625, 626, 627, 628, 629, 631, 633, 634, 635, 636, 639, 652, 673, 685, 686, 693, 694, 696, 697, 698, 699, 700, 701, 703, 704, 706, 707, 708, 709, 710, 712, 713, 715, 716, 720, 724, 727, 732, 733, 734, 738, 739, 740, 741, 742, 745, 746, 747, 749, 753, 760, 761, 762, 764, 765, 767, 769, 770, 771, 773, 774, 775, 776, 777, 780, 781, 783, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 804, 807, 808, 812, 817, 821, 823, 828, 831, 832, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 849, 850, 853, 854, 855, 857, 861, 862, 863, 865, 866, 868, 873, 878, 879, 881, 884, 885, 886, 888, 889, 890, 892, 895, 896, 897, 900, 901, 902, 903, 904, 907, 908, 910, 912, 913, 915, 916, 917, 940, 943, 948, 952, 954, 956, 957, 970, 983, 997, 1009, 1013, 1014, 1031, 1032, 1037, 1038, 1040, 1041, 1043, 1044, 1045, 1051, 1052, 1053, 1056, 1061, 1063, 1064, 1068, 1078, 1101, 1112, 1117, 1118, 1125, 1128, 1129, 1130, 1139, 1141, 1146, 1148, 1149, 1152, 1159, 1164, 1167, 1169, 1170, 1172, 1173, 1174, 1175, 1177, 1178, 1181, 1182, 1183, 1188, 1189, 1192, 1193, 1194, 1196, 1200, 1201, 1202, 1203, 1204, 1207, 1208, 1211, 1216, 1221, 1224, 1226, 1227, 1229, 1230, 1231, 1232, 1236, 1237, 1240, 1241, 1244, 1249, 1250, 1253, 1254, 1255, 1257, 1261, 1262, 1263, 1264, 1269, 1270, 1276, 1277, 1280, 1281, 1286, 1290, 1295, 1298, 1299, 1304, 1305, 1306, 1308, 1321, 1322, 1323, 1325, 1342, 1343, 1344, 1345, 1387, 1388, 1390, 1391, 1392, 1393, 1394, 1396, 1397, 1398, 1400, 1403, 1404, 1407, 1408, 1409, 1410, 1411, 1414, 1416, 1419, 1421, 1423, 1430, 1431, 1432, 1433, 1434, 1443, 1445, 1446, 1447, 1452, 1453, 1454, 1455, 1457, 1458, 1461, 1463, 1466, 1467, 1469, 1470, 1471, 1473, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1490, 1491, 1492, 1494, 1495, 1496, 1497, 1498, 1499, 1500, 1501, 1502, 1620, 1637, 1657, 1741, 1773, 1854, 1891, 1909, 1927, 1930, 1947, 1979, 2033, 2054, 2087, 2127, 2145, 2166, 2167, 2184, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2208, 2209, 2210, 2211, 2212, 2216, 2217, 2218, 2219, 2220, 2222, 2223, 2225, 2226, 2228, 2230, 2232, 2235, 2238, 2240, 2241, 2246, 2249, 2257, 2261, 2264, 2265, 2271, 2277, 2283, 2289, 2294, 2297, 2298, 2302, 2307], "In": [2, 3, 4, 5, 6, 9, 10, 12, 13, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 39, 74, 80, 89, 91, 97, 110, 123, 124, 125, 137, 142, 165, 166, 176, 179, 186, 188, 191, 194, 196, 203, 209, 210, 213, 225, 232, 240, 247, 256, 274, 278, 285, 286, 331, 341, 342, 365, 380, 401, 481, 494, 583, 592, 601, 617, 620, 681, 686, 698, 700, 701, 713, 743, 744, 762, 764, 767, 769, 771, 783, 784, 788, 789, 800, 806, 816, 862, 866, 880, 888, 904, 905, 913, 1014, 1040, 1042, 1052, 1056, 1069, 1071, 1072, 1090, 1118, 1122, 1142, 1144, 1146, 1152, 1167, 1173, 1188, 1211, 1224, 1230, 1249, 1272, 1275, 1298, 1299, 1306, 1308, 1323, 1325, 1338, 1339, 1340, 1341, 1342, 1345, 1350, 1391, 1403, 1415, 1458, 1469, 1470, 1478, 1486, 1488, 1490, 1498, 1499, 1657, 1677, 1699, 1720, 1793, 1815, 2172, 2184, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2196, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2239, 2240, 2241, 2242, 2243, 2246, 2249, 2250, 2257, 2260, 2261, 2263, 2264, 2265, 2266, 2267, 2271, 2277, 2278, 2283, 2289, 2294, 2295, 2298, 2302, 2307], "Into": [15, 35], "It": [1, 2, 3, 5, 6, 10, 12, 13, 17, 22, 23, 24, 28, 32, 34, 35, 36, 77, 86, 90, 110, 136, 162, 172, 233, 234, 241, 248, 259, 285, 292, 294, 331, 332, 380, 381, 427, 445, 459, 498, 547, 548, 564, 566, 602, 619, 632, 644, 646, 686, 688, 712, 740, 750, 807, 808, 881, 890, 913, 919, 922, 929, 953, 1031, 1052, 1118, 1125, 1146, 1265, 1343, 1374, 1383, 1387, 1402, 1419, 1433, 1457, 1473, 1475, 1482, 1491, 1494, 1793, 1815, 2166, 2184, 2185, 2186, 2188, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2202, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2216, 2217, 2218, 2220, 2222, 2226, 2228, 2230, 2231, 2235, 2238, 2240, 2241, 2246, 2249, 2261, 2265, 2271, 2277, 2283, 2289, 2294, 2295, 2298, 2299, 2302, 2307], "Its": [208, 782, 829, 2186, 2187, 2198, 2199, 2207, 2246, 2283], "NO": [26, 34], "NOT": [5, 10, 18, 29, 34, 435, 905, 1265, 1392, 1478, 2163, 2186, 2199, 2209, 2216, 2218, 2226, 2230], "No": [2, 3, 17, 18, 89, 124, 146, 186, 601, 633, 700, 720, 762, 1188, 1249, 1280, 1343, 1352, 1354, 1356, 1370, 1473, 2186, 2190, 2199, 2202, 2203, 2207, 2211, 2212, 2214, 2218, 2227, 2231, 2232, 2236, 2263, 2294, 2298, 2307], "Not": [2, 75, 76, 155, 156, 164, 165, 166, 170, 175, 200, 201, 213, 225, 232, 233, 242, 245, 256, 267, 283, 351, 356, 357, 402, 584, 585, 636, 730, 731, 742, 743, 744, 745, 746, 753, 774, 775, 788, 800, 806, 807, 817, 824, 879, 888, 896, 910, 1259, 1360, 2194, 2195, 2199, 2205, 2226, 2261, 2294, 2307], "OF": 34, "ON": [18, 34], "OR": [18, 34, 829, 1478, 2230, 2235], "Of": [130, 258, 889, 1145, 1344, 1393, 1452, 1497, 2195, 2197, 2199, 2228, 2232, 2238], "On": [0, 1, 2, 3, 5, 22, 62, 82, 212, 593, 615, 787, 831, 1447, 2185, 2186, 2187, 2195, 2199, 2201, 2210, 2211, 2231, 2235, 2246, 2249], "One": [1, 6, 10, 16, 19, 22, 24, 25, 26, 28, 29, 32, 91, 146, 188, 189, 256, 258, 286, 326, 510, 533, 540, 573, 680, 720, 764, 765, 857, 888, 889, 938, 1031, 1146, 1280, 1343, 1349, 1354, 1407, 1458, 2174, 2185, 2188, 2192, 2194, 2197, 2199, 2210, 2211, 2212, 2226, 2228, 2235, 2238, 2241, 2249, 2257, 2277, 2283, 2289, 2307, 2309], "Or": [2, 10, 23, 30, 75, 207, 575, 584, 705, 781, 853, 861, 877, 893, 1031, 1118, 1390, 1411, 1421, 2185, 2186, 2192, 2195, 2197, 2198, 2199, 2208, 2211, 2226, 2246, 2307], "SUCH": 34, "Such": [25, 2222], "THE": [34, 1392, 2199], "TO": [34, 2199], "That": [13, 230, 249, 804, 882, 1202, 2186, 2188, 2192, 2197, 2207, 2214, 2228], "The": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 46, 49, 50, 53, 54, 55, 58, 61, 62, 63, 64, 65, 66, 70, 71, 72, 73, 74, 77, 79, 80, 81, 82, 84, 90, 91, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 110, 115, 119, 120, 123, 126, 127, 130, 134, 136, 137, 139, 140, 141, 142, 143, 144, 146, 147, 150, 151, 152, 153, 157, 160, 163, 167, 168, 169, 172, 176, 179, 180, 182, 185, 186, 188, 189, 190, 191, 192, 194, 195, 197, 200, 201, 202, 203, 205, 207, 208, 209, 210, 212, 213, 218, 224, 225, 226, 227, 228, 230, 233, 238, 240, 241, 242, 245, 247, 248, 249, 251, 252, 255, 257, 258, 259, 261, 263, 264, 265, 266, 267, 269, 270, 272, 274, 276, 277, 278, 280, 281, 282, 283, 284, 286, 288, 290, 292, 293, 294, 295, 296, 298, 299, 306, 307, 308, 309, 311, 312, 313, 315, 316, 317, 318, 319, 321, 323, 324, 325, 328, 332, 333, 334, 335, 336, 337, 341, 342, 345, 353, 354, 359, 360, 362, 364, 369, 370, 373, 375, 376, 378, 380, 393, 401, 402, 403, 405, 413, 417, 418, 419, 420, 421, 423, 427, 430, 431, 433, 436, 439, 445, 455, 457, 458, 459, 461, 465, 478, 479, 483, 486, 489, 491, 492, 498, 500, 502, 505, 506, 510, 511, 514, 516, 522, 524, 529, 530, 532, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 551, 554, 556, 557, 558, 560, 563, 564, 565, 566, 567, 568, 570, 571, 572, 573, 575, 578, 579, 580, 581, 582, 583, 587, 588, 590, 591, 592, 593, 595, 597, 602, 603, 605, 608, 611, 614, 615, 617, 618, 619, 621, 622, 624, 625, 626, 627, 628, 629, 630, 631, 632, 634, 639, 642, 644, 645, 646, 647, 649, 650, 652, 654, 658, 659, 660, 661, 663, 665, 666, 668, 670, 671, 673, 674, 678, 679, 681, 688, 689, 694, 695, 698, 699, 702, 703, 705, 706, 707, 709, 710, 712, 717, 718, 719, 720, 724, 727, 732, 734, 735, 736, 737, 738, 739, 741, 745, 747, 748, 749, 750, 753, 754, 757, 760, 762, 764, 765, 766, 767, 769, 770, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 786, 787, 788, 789, 790, 791, 792, 793, 795, 796, 797, 799, 800, 801, 802, 804, 807, 810, 813, 816, 817, 821, 823, 827, 828, 829, 831, 832, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 850, 854, 855, 857, 862, 866, 867, 874, 875, 876, 877, 878, 879, 880, 881, 882, 884, 885, 887, 889, 890, 893, 894, 895, 896, 897, 898, 901, 902, 903, 904, 905, 908, 910, 911, 912, 914, 915, 916, 923, 931, 937, 938, 940, 941, 943, 948, 950, 952, 953, 957, 970, 983, 997, 1007, 1014, 1017, 1031, 1032, 1034, 1035, 1036, 1040, 1042, 1043, 1052, 1053, 1057, 1059, 1060, 1063, 1068, 1076, 1079, 1081, 1082, 1084, 1085, 1086, 1087, 1088, 1089, 1091, 1093, 1095, 1097, 1099, 1100, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1110, 1112, 1113, 1114, 1115, 1117, 1118, 1119, 1120, 1121, 1122, 1125, 1127, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1148, 1149, 1152, 1154, 1155, 1156, 1158, 1164, 1169, 1170, 1173, 1174, 1175, 1177, 1178, 1179, 1181, 1188, 1189, 1191, 1192, 1193, 1194, 1196, 1199, 1200, 1202, 1203, 1204, 1205, 1207, 1208, 1211, 1213, 1215, 1221, 1226, 1227, 1236, 1237, 1238, 1240, 1242, 1243, 1249, 1250, 1252, 1253, 1254, 1255, 1257, 1260, 1261, 1263, 1264, 1267, 1269, 1270, 1272, 1276, 1277, 1280, 1281, 1286, 1290, 1295, 1300, 1302, 1304, 1305, 1308, 1309, 1310, 1311, 1312, 1313, 1316, 1318, 1319, 1320, 1321, 1322, 1323, 1325, 1326, 1327, 1328, 1329, 1330, 1333, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1343, 1344, 1345, 1369, 1374, 1380, 1381, 1382, 1387, 1388, 1389, 1391, 1393, 1394, 1395, 1396, 1397, 1398, 1400, 1402, 1403, 1404, 1406, 1413, 1414, 1415, 1416, 1421, 1423, 1424, 1430, 1432, 1433, 1434, 1436, 1444, 1445, 1446, 1447, 1448, 1452, 1454, 1456, 1457, 1458, 1459, 1460, 1464, 1467, 1468, 1469, 1470, 1471, 1472, 1473, 1474, 1475, 1476, 1477, 1478, 1480, 1482, 1483, 1485, 1486, 1487, 1488, 1490, 1493, 1497, 1498, 1499, 1500, 1506, 1524, 1542, 1560, 1578, 1598, 1620, 1637, 1657, 1677, 1699, 1720, 1741, 1758, 1776, 1793, 1815, 1839, 1857, 1876, 1894, 1912, 1930, 1947, 1964, 1982, 2000, 2018, 2036, 2054, 2090, 2108, 2127, 2145, 2163, 2166, 2167, 2168, 2172, 2178, 2184, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2194, 2196, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2234, 2235, 2238, 2239, 2240, 2241, 2243, 2246, 2247, 2248, 2250, 2254, 2257, 2261, 2263, 2264, 2265, 2271, 2274, 2277, 2278, 2283, 2287, 2289, 2292, 2293, 2294, 2298, 2302, 2307, 2308], "Their": [931, 1007, 2186, 2218, 2220, 2249], "Then": [1, 3, 4, 97, 620, 2185, 2195, 2197, 2199, 2212, 2257], "There": [2, 3, 5, 10, 12, 13, 15, 16, 17, 18, 19, 21, 24, 32, 35, 42, 54, 280, 748, 836, 837, 838, 839, 840, 841, 842, 843, 844, 953, 1141, 1387, 1487, 1793, 1815, 2185, 2186, 2190, 2193, 2195, 2197, 2199, 2201, 2205, 2207, 2208, 2210, 2211, 2214, 2216, 2218, 2219, 2220, 2228, 2230, 2241, 2244, 2246, 2260, 2261, 2265, 2289, 2294, 2307], "These": [0, 1, 2, 3, 4, 14, 16, 19, 21, 32, 35, 66, 77, 146, 169, 192, 203, 250, 256, 260, 341, 376, 380, 432, 576, 699, 720, 829, 883, 888, 891, 892, 1064, 1065, 1077, 1141, 1280, 1388, 1420, 1421, 1423, 1433, 1446, 1475, 1499, 2168, 2172, 2180, 2185, 2186, 2187, 2188, 2190, 2191, 2193, 2195, 2197, 2198, 2199, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2218, 2220, 2222, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2240, 2241, 2246, 2247, 2248, 2249, 2250, 2251, 2252, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, 2310], "To": [1, 2, 3, 4, 5, 6, 7, 8, 10, 13, 14, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 36, 63, 79, 103, 104, 105, 106, 107, 112, 116, 139, 140, 147, 151, 172, 176, 179, 187, 200, 201, 207, 212, 213, 218, 224, 225, 242, 245, 251, 253, 278, 283, 286, 325, 328, 331, 341, 345, 401, 431, 433, 445, 494, 591, 625, 626, 627, 628, 629, 686, 713, 715, 716, 718, 724, 740, 763, 774, 775, 781, 787, 788, 789, 793, 800, 817, 821, 853, 857, 861, 873, 879, 884, 886, 904, 910, 938, 950, 952, 1117, 1121, 1123, 1124, 1145, 1148, 1149, 1164, 1174, 1175, 1187, 1193, 1202, 1221, 1230, 1231, 1232, 1248, 1254, 1263, 1289, 1296, 1338, 1339, 1340, 1341, 1344, 1393, 1424, 1431, 1433, 1452, 1469, 1470, 1473, 1478, 1486, 1487, 1497, 1498, 1657, 1677, 1699, 1720, 1741, 2167, 2185, 2186, 2188, 2191, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2214, 2218, 2220, 2222, 2223, 2225, 2228, 2230, 2232, 2235, 2238, 2240, 2241, 2242, 2246, 2249, 2261, 2263, 2265, 2271, 2278, 2283, 2289, 2294, 2298, 2302, 2307], "WILL": [10, 2186, 2199, 2216, 2298], "WITH": [2199, 2238, 2246], "Will": [8, 63, 134, 258, 259, 326, 366, 368, 430, 573, 680, 709, 889, 890, 1196, 1257, 2219, 2253], "With": [2, 3, 5, 16, 17, 18, 19, 21, 26, 29, 69, 89, 98, 109, 129, 141, 144, 152, 155, 156, 165, 166, 171, 173, 199, 204, 206, 215, 216, 217, 219, 220, 221, 222, 225, 232, 244, 253, 261, 272, 275, 281, 330, 331, 376, 436, 599, 601, 621, 634, 662, 685, 686, 699, 717, 730, 731, 743, 744, 748, 800, 806, 886, 908, 1052, 1153, 1212, 1274, 1388, 1431, 1487, 2166, 2184, 2186, 2190, 2195, 2197, 2199, 2204, 2205, 2207, 2208, 2210, 2217, 2220, 2221, 2238, 2240, 2243, 2254, 2261, 2271, 2289, 2294, 2298, 2307], "_": [26, 428, 818, 830, 858, 905, 1389, 1390, 1394, 1400, 1403, 1404, 1422, 1462, 1476, 2166, 2192, 2193, 2195, 2197, 2204, 2205, 2208, 2218, 2225, 2232, 2294, 2298, 2304], "_0": 2200, "_1": 2200, "_2": [26, 2200], "_3": 2200, "__": [9, 2208], "__300": 2225, "___12": 2225, "___25": 2225, "__abs__": 2289, "__add__": [10, 1741, 2210, 2230, 2241, 2289, 2298], "__and__": 2298, "__array_priority__": 10, "__array_ufunc__": [10, 1031, 2191, 2201, 2249], "__array_wrap__": [2294, 2298], "__arrow_array__": 10, "__bool__": 2201, "__builtin__": 2259, "__bytes__": [2217, 2249], "__call__": [2202, 2271, 2298], "__contain": 2249, "__contains__": [2218, 2224, 2225, 2230, 2241, 2249, 2273, 2277, 2283, 2302], "__dataframe__": [1077, 2294, 2307, 2309], "__deepcopy__": 2235, "__delitem__": 2283, "__dir__": [2226, 2271, 2289], "__doc__": [3, 1054], "__enter__": 2224, "__eq__": [1031, 1068, 2186, 2246, 2289, 2307], "__finalize__": [2192, 2194, 2197, 2199, 2218, 2220, 2298], "__floordiv__": [2241, 2307], "__from_arrow__": [10, 1068, 2299, 2302], "__fspath__": 2238, "__func__": 2202, "__getattr__": [15, 2199, 2218], "__getattribute__": [10, 2203, 2294], "__getitem__": [2, 203, 1031, 1064, 1387, 2185, 2191, 2193, 2194, 2197, 2217, 2225, 2226, 2246, 2249, 2254, 2257, 2265, 2271, 2274, 2277, 2283, 2286, 2289, 2294, 2295, 2297, 2298, 2300, 2301, 2302, 2306, 2307, 2308], "__getstate__": 2218, "__git_version__": 2246, "__globally__": 2190, "__gt__": 2188, "__hash__": [1068, 2246, 2302], "__index_level_": 9, "__index_level_0__": [9, 2199], "__init__": [10, 15, 16, 17, 18, 19, 1068, 1069, 1071, 1072, 2194, 2199, 2200, 2201, 2203, 2207, 2212, 2235, 2246, 2277, 2283, 2294, 2298, 2307], "__invert__": [2218, 2266, 2298], "__iter__": [2210, 2218, 2222, 2228, 2229, 2238, 2241, 2249, 2265, 2277, 2283, 2286, 2289, 2298, 2302], "__le__": 10, "__len__": [1031, 2218], "__main__": 10, "__missing__": [740, 2235], "__mul__": [2241, 2307], "__name__": [15, 2184, 2186, 2194, 2231, 2235, 2249, 2298, 2302], "__ne__": [2241, 2246, 2271, 2289, 2306], "__neg__": [2218, 2289], "__new__": [10, 2203, 2221, 2249, 2298], "__nonzero__": [2184, 2186, 2194, 2217, 2218], "__or__": 2298, "__pandas_priority__": [10, 2302], "__path__": 2, "__pos__": 2289, "__qualname__": [2231, 2235], "__radd__": 10, "__repr__": [2, 1031, 1035, 2217, 2220, 2222, 2231, 2253, 2254, 2265, 2271, 2283, 2289, 2294, 2302, 2307], "__rfloordiv__": 2241, "__rmatmul__": [2246, 2277], "__rmod__": 2241, "__setattr__": 2218, "__setitem__": [2, 1364, 2192, 2197, 2215, 2222, 2225, 2226, 2232, 2233, 2241, 2246, 2249, 2257, 2265, 2266, 2271, 2276, 2277, 2278, 2280, 2283, 2286, 2289, 2293, 2294, 2295, 2297, 2298, 2302, 2303, 2304, 2306], "__setstate__": 2218, "__str__": 2217, "__sub__": 2241, "__subclasses__": 2186, "__truediv__": 2307, "__unicode__": [2217, 2220, 2249], "__version__": [5, 2199], "__xor__": 2298, "_accessor": 2203, "_accumul": [1031, 2298], "_add_arithmetic_op": 10, "_add_comparison_op": 10, "_add_offset": 2210, "_add_timedeltalike_scalar": 2210, "_allows_duplicate_label": 2192, "_array_strptime_with_fallback": 2210, "_assert_tzawareness_compat": 2197, "_astype_nansaf": 2298, "_at": [1476, 2199], "_ax": [91, 1458], "_axis_nam": [2278, 2298], "_axis_numb": [2278, 2298], "_blank": [2199, 2207], "_bootstrap": [2199, 2203, 2212, 2298], "_buffer": [16, 17, 18, 19, 2199, 2235], "_built_with_meson": 5, "_cacheabl": 2246, "_call_chain": [16, 17, 18, 19, 2199, 2235], "_call_with_frames_remov": 2199, "_caller": 153, "_can_hold_identifiers_and_holds_nam": 2203, "_check_deprecated_callable_usag": [2185, 2197], "_check_for_loc": 2193, "_check_indexing_error": [2185, 2191, 2194], "_check_is_chained_assignment_poss": 2197, "_check_setitem_copi": 2197, "_check_tokenize_statu": 2199, "_cmp_method": 2186, "_code": [2249, 2283, 2298], "_col": [71, 580, 1394, 2207], "_concat_same_typ": 1031, "_concatenate_chunk": 2199, "_config": [1345, 1391, 1488, 1490, 2202, 2265], "_constructor": [10, 2289, 2291], "_constructor_expanddim": [10, 2226, 2283], "_constructor_from_mgr": [2197, 2199, 2298], "_constructor_sl": [10, 2283, 2289], "_context": [16, 17, 18, 19, 2199, 2235], "_convert_and_box_cach": 2210, "_convert_listlike_datetim": 2210, "_copi": 2302, "_core": 2193, "_cow_": [830, 858], "_create_connect": [16, 17, 18, 19, 2199, 2235], "_create_stor": 2199, "_creso": [1017, 2210], "_cross_merg": 2200, "_cython_magic_0d25707137bb8ab5a6eda8679f9fdbec62fe074": 2193, "_cython_magic_883da8958ecc60be73b28b7124368f9c7cc2d174": 2193, "_data": [1031, 2197, 2208, 2210, 2302], "_data_to_fram": 2199, "_decor": [2, 2184, 2199, 2205, 2246], "_default_hash_kei": [2164, 2165], "_deprec": 2265, "_dtype_to_subclass": 2298, "_element": 2199, "_encod": [16, 17, 18, 19, 2199, 2235], "_engin": [16, 17, 18, 19, 2185, 2191, 2194, 2199, 2203, 2235, 2298], "_ensure_arrai": 2298, "_ensure_index": 2253, "_ensure_nanosecond_dtyp": 2298, "_ensure_numer": 2218, "_except": 2, "_explod": 2307, "_find_and_load": [2199, 2203, 2212, 2298], "_find_and_load_unlock": [2199, 2203, 2212, 2298], "_fixedoffset": 2298, "_foot": 1400, "_forbid_nonstring_typ": [2208, 2249], "_format_argument_list": [2184, 2199, 2205, 2246], "_format_duplicate_messag": 2192, "_formatt": [1031, 2246, 2265], "_formatting_valu": [2246, 2265], "_from_factor": 1031, "_from_sequ": [1031, 1053, 1064, 1122, 1144, 2246, 2298], "_from_sequence_of_str": 1031, "_gcd_import": [2199, 2203, 2212, 2298], "_get_attributes_dict": 2298, "_get_axi": [2185, 2192, 2197], "_get_axis_numb": [2192, 2197], "_get_block_manager_axi": [2197, 2199], "_get_bool_data": 2218, "_get_cach": 2197, "_get_common_dtyp": 1068, "_get_data_buff": 1366, "_get_dupl": 2254, "_get_filepath_or_buff": [16, 17, 18, 19, 2199, 2235], "_get_formatted_index": 2226, "_get_kwargs_from_url": 2199, "_get_label": 2185, "_get_list_axi": 2197, "_get_loc_dupl": 2185, "_get_numeric_data": 2218, "_get_object_pars": 2199, "_get_opt": [2202, 2298], "_get_pyarrow_opt": [2203, 2298], "_get_root": 2202, "_get_single_kei": 2202, "_get_slice_axi": [2185, 2197], "_get_valu": [2185, 2191, 2193, 2194, 2197], "_getbool_axi": [2185, 2197], "_getitem_axi": [2185, 2197], "_getitem_lowerdim": [2185, 2197], "_getitem_tupl": [2185, 2197], "_getitem_tuple_same_dim": 2185, "_handled_typ": 1031, "_has_inf": 2221, "_hash": 2235, "_hash_pandas_object": 1043, "_ilocindex": 2197, "_import_class": 2199, "_indexed_sam": [2186, 2218], "_indexslic": 440, "_inferred_dtyp": [2208, 2249], "_info_axi": 2203, "_internal_nam": 10, "_internal_names_set": 10, "_is_boolean": [1056, 1068, 1081], "_is_copi": 2197, "_is_mixed_typ": 2197, "_is_numer": [1068, 2246, 2298], "_is_scalar_access": [2185, 2197], "_is_view": 2220, "_item": [71, 580, 1031], "_item_cach": 2271, "_join": 2235, "_json": [2199, 2265], "_kei": 2192, "_l": 2200, "_left": [169, 1446], "_lexsort_depth": 2185, "_lib": [2, 5, 2185, 2191, 2194, 2199, 2201, 2210, 2235, 2302], "_locationindex": [2185, 2197], "_locindex": [2185, 2197], "_lsprof": 2193, "_lxmlframepars": 2199, "_make_engin": [16, 17, 18, 19, 2199, 2203, 2235, 2298], "_matplotlib": [10, 2265], "_maybe_cast_slice_bound": [2197, 2233], "_maybe_check_uniqu": 2192, "_maybe_get_bool_index": 2185, "_maybe_null_out": 2221, "_mean": 2212, "_merg": [19, 169, 1446, 2200, 2228], "_mergeoper": 2200, "_metadata": [10, 1068, 2192, 2246], "_mgr": [2197, 2199, 2203, 2298, 2302], "_mixin": 2210, "_multi_tak": 2185, "_multi_take_opportun": 2185, "_n": 19, "_n_": 16, "_name": [2185, 2265], "_nan_": 2199, "_ndarrai": 2210, "_no_setting_nam": [2185, 2265], "_null_": 16, "_obj": [10, 1069, 1071, 1072], "_open": [16, 17, 18, 19, 2199, 2235], "_option": [2, 2199, 2203, 2212, 2298], "_other": 153, "_pad_or_backfil": [1031, 2302, 2307], "_pars": 2199, "_parse_doc": 2199, "_parse_with_format": 2210, "_partial_tup_index": 2185, "_pat_": 2294, "_path": [337, 2199, 2229], "_period": [2210, 2235], "_print_desc": 1345, "_quiet": 2218, "_r": 2200, "_raise_invalid_index": 2197, "_rang": [2185, 2265], "_rank": [1191, 1252], "_read": [16, 17, 18, 19, 2199, 2203, 2222, 2232, 2235, 2298], "_read_group": 2199, "_read_row": 2199, "_reader": [2199, 2203, 2298], "_recognized_scalar": 2197, "_reduc": [1031, 1056, 2220, 2302], "_ref_loc": [2218, 2219, 2220], "_refine_defaults_read": [16, 17, 18, 19, 2199, 2203, 2232, 2235, 2298], "_reindex_ax": [2192, 2197], "_reindex_multi": [2192, 2197], "_reindex_with_index": [2192, 2197], "_renam": 2192, "_repr_html_": [1394, 2207], "_repr_latex_": [2230, 2298], "_require_matching_freq": 2210, "_reset_ident": 2249, "_respons": [16, 17, 18, 19, 2199, 2235], "_result_dtyp": 2208, "_right": [169, 1446], "_row": [1394, 2207], "_sa": 2235, "_searchsorted_monoton": 2185, "_selected_obj": 2212, "_send_output": [16, 17, 18, 19, 2199, 2235], "_send_request": [16, 17, 18, 19, 2199, 2235], "_set_nam": 2192, "_setup_ax": 2218, "_shallow_copi": [2271, 2277], "_shared_doc": [3, 2184, 2199, 2205], "_shared_doc_kwarg": [3, 2192, 2197], "_should_cach": 2246, "_simple_new": [2210, 2298], "_slice": [2185, 2197], "_spars": 2235, "_split": 2199, "_start": [2199, 2249, 2265, 2298], "_step": [2249, 2265, 2298], "_stop": [2199, 2249, 2265, 2298], "_str": [854, 855, 2208], "_subplot": 3, "_table_schema": 1436, "_take_with_is_copi": 2197, "_takeabl": [2185, 2197], "_templat": 4, "_test": [2, 2219, 2230, 2235, 2238, 2241, 2265], "_time": [1476, 2199], "_tokenize_row": 2199, "_try_cast": 2298, "_tunnel_host": [16, 17, 18, 19, 2199, 2235], "_type": 2, "_un_chain": 2199, "_undeprecated_": 2265, "_unpack_bool_index": 2185, "_unpack_zerodim_and_def": 2186, "_v_attr": 2199, "_v_pathnam": 2199, "_valid": 10, "_valid_typ": 2197, "_validate_comparison_valu": 1361, "_validate_dtyp": [2194, 2201, 2203, 2283, 2294, 2307], "_validate_integ": 2197, "_validate_kei": [2185, 2197], "_validate_nam": [16, 17, 18, 19, 2199, 2203, 2232, 2235, 2298], "_validate_parse_dates_pres": 2199, "_validate_tuple_index": 2197, "_validate_usecols_nam": 2199, "_validate_validate_kwd": 2200, "_valu": [12, 1031, 2185, 2186, 2191, 2194], "_values_for_argsort": 1031, "_values_for_factor": [1031, 1039], "_verbose_info": 2218, "_verify_integr": 2249, "_where": 2199, "_window": 2235, "_wrap_arrai": 2218, "_x": [169, 1446, 1447, 1448], "_y": [169, 1446, 1447, 1448], "a0": [153, 440, 2185, 2200, 2220, 2241, 2246], "a1": [17, 153, 440, 828, 1395, 2185, 2200, 2208, 2218, 2220, 2226, 2230, 2241, 2246], "a10": [2191, 2200], "a11": [2200, 2208, 2230], "a1970": [2166, 2204, 2218], "a1980": [2166, 2204, 2218], "a1a2": [829, 2208, 2230, 2232], "a2": [17, 153, 1395, 2200, 2226, 2241, 2246], "a3": [153, 2185, 2200, 2208, 2220, 2241], "a4": [153, 2200], "a5": [153, 2200], "a6": 2200, "a7": 2200, "a8": 2200, "a9": 2200, "a98d19": [188, 189, 195, 197, 764, 765, 770], "a_": 2207, "a_a": [2204, 2222], "a_b": [2204, 2208, 2222], "a_b_c": 2208, "a_c": 2204, "a_col": [71, 580], "a_i": [1403, 2200], "a_str_seri": [428, 818], "a_x": 2200, "aa": [503, 821, 856, 2208, 2211, 2232, 2235], "aaa": [17, 341, 1469, 1486, 2208, 2218], "aaaaa": 2204, "aaaabbbbcccc": 2197, "aaab": 2208, "aaaba": 2195, "aaabba": 2195, "aab": [824, 2198, 2208, 2220, 2246], "aaba": [824, 2184, 2186, 2208], "aabb": [2188, 2229], "aabbbbcc": [2195, 2217], "aabbca": [2185, 2226], "aabbccddeeff": 2197, "aabbcdba": 2199, "aabc": [909, 1078], "aapl": [1447, 2200, 2223, 2232], "aapl141114c00080000": 2223, "aapl141114c00084000": 2223, "aapl141114c00085000": 2223, "aapl141114c00086000": 2223, "aapl141114c00087000": 2223, "aapl141114c00110000": 2223, "aapl141122c00109000": 2223, "aapl141122c00110000": 2223, "aapl141128c00109000": 2223, "aapl141128c00110000": 2223, "ab": [3, 103, 104, 105, 106, 207, 208, 378, 417, 465, 489, 498, 625, 626, 627, 628, 781, 782, 828, 829, 865, 1368, 2184, 2185, 2186, 2191, 2193, 2197, 2199, 2201, 2206, 2208, 2209, 2211, 2217, 2218, 2220, 2225, 2227, 2228, 2230, 2231, 2232, 2235, 2246, 2257, 2277, 2289], "ababc": 2204, "abb": [491, 492, 493], "abbaxi": 1184, "abbc": [382, 2197], "abbccc": 604, "abbrevi": [532, 1017, 1498, 2298], "abc": [15, 125, 167, 212, 252, 341, 354, 381, 382, 490, 701, 740, 787, 865, 885, 905, 1031, 1068, 1094, 1390, 1445, 2163, 2185, 2186, 2191, 2194, 2197, 2199, 2200, 2201, 2203, 2204, 2216, 2217, 2218, 2226, 2230, 2232, 2235, 2249, 2265, 2271, 2277, 2283], "abca": [1390, 2188, 2241], "abcaa": [1390, 2204], "abcaba": 2241, "abcb": 382, "abcd": [124, 125, 146, 190, 205, 425, 426, 604, 700, 701, 720, 766, 778, 865, 1154, 2184, 2188, 2194, 2197, 2199, 2208, 2211, 2217, 2218, 2220, 2225, 2226, 2229, 2230, 2241], "abcdef": [2185, 2197, 2225], "abcdefg": [15, 2195], "abcindex": 2208, "abcmeta": [1031, 1068], "abcpanel": 2231, "abcseri": 2194, "abd": 2232, "abdc": 865, "abdceff": 2186, "abil": [31, 272, 1487, 2186, 2194, 2199, 2205, 2207, 2212, 2214, 2220, 2224, 2225, 2228, 2230, 2231, 2235, 2242, 2246, 2254, 2258, 2265, 2269, 2270, 2289, 2294, 2295, 2298], "abl": [1, 4, 5, 6, 7, 8, 13, 16, 17, 19, 34, 418, 421, 445, 1469, 1486, 2191, 2199, 2207, 2210, 2215, 2220, 2228, 2232, 2249, 2261, 2265], "abn": 2220, "abnorm": 2199, "aboard": [24, 25, 28, 29, 32], "about": [0, 1, 2, 11, 12, 13, 15, 16, 17, 18, 19, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 44, 77, 79, 102, 111, 134, 144, 196, 203, 212, 213, 218, 262, 286, 591, 709, 771, 787, 788, 793, 938, 1117, 1145, 1158, 1193, 1254, 1344, 1393, 1452, 1475, 1477, 1482, 1491, 1497, 1498, 2185, 2186, 2188, 2190, 2191, 2193, 2195, 2196, 2197, 2199, 2202, 2205, 2208, 2210, 2211, 2212, 2214, 2218, 2220, 2222, 2223, 2228, 2232, 2235, 2236, 2238, 2241, 2254, 2257, 2260, 2261, 2265, 2273, 2289, 2294, 2295, 2298, 2302, 2304, 2307, 2308], "abov": [1, 2, 3, 4, 9, 10, 13, 15, 16, 17, 18, 19, 22, 25, 34, 91, 92, 98, 141, 160, 186, 205, 212, 213, 269, 276, 493, 616, 621, 717, 738, 762, 778, 787, 788, 821, 897, 902, 916, 1152, 1188, 1192, 1211, 1249, 1253, 1397, 1403, 1404, 1416, 1430, 1433, 1458, 1470, 1498, 2166, 2184, 2185, 2186, 2188, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2201, 2202, 2203, 2204, 2205, 2207, 2209, 2210, 2211, 2212, 2216, 2220, 2222, 2225, 2227, 2228, 2230, 2232, 2235, 2238, 2241, 2246, 2249, 2265, 2274, 2277, 2278, 2289, 2298, 2302, 2307], "above_35": 25, "above_below": 2216, "absenc": 2194, "absent": [2197, 2222, 2249, 2292], "absolut": [6, 68, 102, 121, 350, 577, 590, 696, 1158, 1423, 1447, 1493, 1494, 1495, 1496, 1500, 2186, 2199, 2207, 2210, 2212, 2218, 2255], "abstract": [1031, 1068, 1346, 2195, 2199, 2294], "abstractholidaycalendar": [2210, 2226, 2265, 2271, 2307], "abstracthttphandl": [16, 17, 18, 19, 2199, 2235], "abstractmethoderror": [1031, 1068, 2241, 2283], "ac": 123, "acast": 15, "acceler": [22, 1345, 1391, 1488, 1490, 2193, 2196, 2202, 2203, 2216, 2262, 2302], "accent": 2246, "accept": [1, 2, 3, 13, 22, 32, 37, 72, 73, 75, 76, 78, 92, 102, 103, 104, 105, 106, 108, 120, 162, 203, 219, 223, 258, 273, 274, 339, 354, 419, 478, 510, 568, 581, 582, 584, 585, 589, 616, 625, 626, 627, 628, 630, 715, 716, 740, 794, 798, 827, 867, 889, 900, 953, 1060, 1143, 1144, 1148, 1149, 1158, 1165, 1178, 1179, 1180, 1181, 1183, 1189, 1194, 1199, 1200, 1203, 1205, 1207, 1208, 1222, 1231, 1232, 1237, 1238, 1239, 1240, 1244, 1250, 1255, 1260, 1261, 1264, 1267, 1269, 1270, 1284, 1290, 1295, 1300, 1302, 1304, 1305, 1310, 1311, 1312, 1313, 1318, 1319, 1320, 1321, 1322, 1327, 1328, 1329, 1330, 1335, 1336, 1337, 1345, 1391, 1444, 1469, 1470, 1474, 1475, 1476, 1479, 1482, 1485, 1486, 1488, 1490, 2185, 2186, 2191, 2193, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2207, 2208, 2210, 2211, 2212, 2214, 2216, 2217, 2218, 2220, 2221, 2222, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2235, 2242, 2243, 2245, 2246, 2249, 2256, 2264, 2266, 2271, 2277, 2283, 2284, 2289, 2294, 2298, 2302, 2307], "acceptencod": 2199, "access": [2, 8, 10, 13, 15, 16, 17, 19, 31, 83, 107, 126, 138, 142, 160, 255, 256, 266, 285, 494, 594, 629, 702, 714, 735, 738, 888, 913, 918, 1069, 1071, 1072, 1164, 1221, 1379, 1469, 1473, 1474, 1486, 2167, 2169, 2180, 2184, 2186, 2188, 2190, 2193, 2196, 2199, 2208, 2209, 2210, 2216, 2217, 2218, 2220, 2222, 2225, 2226, 2227, 2228, 2229, 2232, 2236, 2238, 2239, 2241, 2243, 2247, 2254, 2256, 2257, 2259, 2262, 2263, 2265, 2271, 2283, 2294, 2298, 2302, 2304], "accessor": [11, 31, 32, 141, 235, 274, 292, 294, 303, 304, 305, 306, 307, 308, 309, 316, 332, 604, 637, 644, 646, 655, 656, 657, 658, 659, 660, 661, 670, 688, 717, 809, 1069, 1071, 1072, 2167, 2172, 2196, 2197, 2208, 2210, 2220, 2221, 2223, 2225, 2226, 2229, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2265, 2277, 2278, 2283, 2293, 2298, 2299], "accid": 2263, "accident": [2190, 2208, 2257, 2265, 2277], "accommod": [238, 282, 2186, 2216, 2307], "accompani": [1433, 2235], "accomplish": [15, 16, 17, 19, 2185, 2186, 2207, 2229, 2235, 2238, 2264], "accord": [13, 29, 32, 39, 108, 126, 192, 197, 212, 243, 249, 255, 529, 617, 630, 662, 702, 740, 787, 882, 983, 1042, 1192, 1202, 1253, 1263, 1280, 1342, 1345, 1391, 1394, 1397, 1430, 1463, 1470, 1488, 1490, 1499, 2185, 2186, 2195, 2197, 2199, 2202, 2203, 2207, 2209, 2220, 2222, 2226, 2232, 2261, 2264, 2265, 2271, 2289, 2294, 2298], "accordingli": [188, 189, 195, 764, 765, 770, 2185, 2199, 2220], "account": [1, 6, 13, 23, 34, 121, 255, 532, 696, 1469, 1473, 1486, 1793, 1815, 2188, 2194, 2199, 2201, 2210, 2212, 2218, 2222, 2224, 2230, 2289, 2302], "accumul": [192, 1031, 1032, 2195, 2212, 2278], "accur": [3, 13, 2194, 2210, 2225, 2229, 2277], "accuraci": [1489, 2202, 2210, 2212, 2235], "acegkm": 2257, "achem": 25, "achiev": [14, 15, 17, 22, 31, 77, 81, 359, 360, 376, 587, 588, 699, 873, 1305, 1322, 1388, 1416, 2186, 2193, 2195, 2197, 2199, 2205, 2207, 2210, 2212, 2214, 2220, 2225, 2232, 2238, 2257, 2308], "acknowledg": 13, "acquir": [2199, 2277], "across": [2, 13, 28, 30, 69, 74, 102, 109, 118, 121, 122, 129, 132, 135, 151, 155, 156, 159, 161, 164, 165, 166, 170, 171, 173, 175, 185, 199, 204, 206, 207, 215, 216, 217, 218, 220, 221, 222, 232, 244, 259, 275, 401, 578, 583, 617, 631, 694, 696, 697, 706, 707, 710, 730, 731, 734, 739, 742, 743, 744, 746, 747, 749, 753, 773, 777, 780, 781, 790, 791, 792, 793, 795, 796, 797, 806, 878, 890, 901, 1158, 1193, 1198, 1254, 1345, 1391, 1397, 1454, 1488, 1490, 2185, 2186, 2191, 2194, 2195, 2197, 2199, 2201, 2202, 2204, 2207, 2210, 2214, 2217, 2218, 2219, 2220, 2221, 2224, 2228, 2235, 2239, 2240, 2241, 2243, 2246, 2249, 2257, 2263, 2265, 2279, 2287, 2294, 2298, 2302, 2307], "act": [77, 1469, 1486, 2184, 2191, 2195, 2199, 2201, 2210, 2211, 2217, 2218, 2220, 2222, 2238, 2294, 2298], "action": [0, 2, 4, 6, 62, 615, 1345, 1391, 1488, 1490, 2186, 2202, 2207, 2218, 2298], "activ": [0, 1, 2, 5, 13, 16, 17, 18, 19, 22, 34, 2190, 2207, 2218, 2223, 2229, 2230, 2304], "actual": [2, 3, 4, 13, 17, 25, 28, 42, 54, 98, 117, 146, 249, 252, 334, 457, 538, 590, 621, 693, 713, 720, 882, 885, 893, 1094, 1118, 1146, 1202, 1230, 1263, 1280, 1342, 2185, 2186, 2187, 2188, 2190, 2191, 2197, 2199, 2201, 2202, 2204, 2206, 2207, 2210, 2218, 2220, 2222, 2224, 2225, 2228, 2232, 2235, 2241, 2246, 2249, 2265, 2277, 2295, 2307], "ad": [1, 2, 3, 4, 6, 10, 13, 21, 30, 31, 44, 50, 62, 65, 70, 71, 77, 89, 96, 97, 99, 100, 102, 114, 121, 122, 123, 124, 130, 139, 140, 153, 155, 156, 162, 164, 165, 166, 170, 185, 186, 200, 201, 213, 214, 218, 223, 230, 232, 245, 251, 252, 253, 258, 259, 262, 265, 267, 268, 272, 281, 337, 341, 345, 376, 502, 505, 579, 580, 586, 601, 603, 605, 615, 619, 620, 634, 636, 696, 697, 699, 700, 730, 731, 742, 743, 744, 746, 762, 774, 775, 788, 789, 793, 798, 804, 806, 831, 866, 874, 879, 884, 886, 889, 890, 895, 896, 1041, 1051, 1118, 1145, 1146, 1152, 1155, 1156, 1158, 1169, 1174, 1175, 1177, 1179, 1183, 1188, 1190, 1192, 1195, 1198, 1199, 1204, 1205, 1211, 1226, 1236, 1238, 1244, 1249, 1251, 1253, 1256, 1260, 1267, 1276, 1281, 1292, 1294, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1306, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1344, 1345, 1374, 1388, 1389, 1391, 1394, 1396, 1397, 1398, 1399, 1400, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1414, 1416, 1417, 1420, 1421, 1422, 1423, 1430, 1431, 1432, 1433, 1434, 1435, 1454, 1459, 1461, 1468, 1469, 1470, 1471, 1472, 1475, 1476, 1477, 1478, 1479, 1480, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1490, 1493, 1496, 1497, 1499, 1741, 2184, 2186, 2190, 2192, 2193, 2195, 2199, 2200, 2202, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2238, 2239, 2240, 2241, 2246, 2248, 2249, 2250, 2253, 2254, 2255, 2256, 2257, 2261, 2264, 2265, 2270, 2277, 2278, 2283, 2289, 2294, 2298, 2299, 2302, 2307, 2308, 2310], "adam": 2207, "adapt": [6, 31, 1416, 2199, 2222, 2257, 2261], "adatafil": 2199, "adbc": [22, 1482, 2199], "adbc_driver_postgresql": [1482, 2307], "adbc_driver_sqlit": 2199, "add": [0, 1, 2, 3, 5, 6, 10, 13, 17, 18, 29, 30, 31, 32, 41, 50, 53, 58, 59, 60, 61, 62, 65, 70, 71, 109, 129, 134, 160, 169, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 253, 256, 260, 275, 579, 580, 605, 608, 611, 612, 613, 614, 615, 709, 738, 777, 886, 888, 892, 897, 1014, 1146, 1196, 1257, 1342, 1345, 1387, 1390, 1391, 1398, 1419, 1423, 1424, 1431, 1432, 1433, 1435, 1446, 1448, 1463, 1464, 1488, 1490, 1741, 2184, 2185, 2186, 2188, 2193, 2195, 2196, 2197, 2199, 2200, 2201, 2202, 2204, 2205, 2208, 2210, 2211, 2214, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2228, 2230, 2232, 2235, 2241, 2246, 2249, 2251, 2255, 2256, 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2271, 2277, 2278, 2281, 2283, 2289, 2294, 2298, 2302, 2307], "add_categori": [41, 53, 58, 59, 60, 61, 62, 604, 608, 611, 612, 613, 614, 615, 2188, 2226, 2283, 2298], "add_country_nam": 2186, "add_custom_valu": 586, "add_prefix": [71, 580, 2184, 2238, 2298], "add_suffix": [70, 579, 2184, 2238, 2298], "add_valu": 3, "added_properti": 10, "addit": [1, 2, 3, 5, 10, 13, 16, 19, 22, 27, 29, 30, 35, 36, 39, 49, 65, 69, 75, 76, 77, 78, 81, 91, 92, 103, 104, 105, 106, 110, 123, 155, 156, 162, 164, 165, 166, 170, 182, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 200, 201, 204, 218, 219, 232, 245, 251, 254, 256, 262, 263, 322, 341, 359, 360, 406, 408, 532, 562, 578, 584, 585, 586, 587, 588, 616, 625, 626, 627, 628, 677, 698, 715, 716, 730, 731, 742, 743, 744, 746, 760, 762, 763, 764, 765, 766, 767, 768, 769, 770, 774, 775, 777, 793, 794, 806, 822, 836, 837, 838, 839, 840, 841, 842, 843, 844, 847, 852, 860, 879, 884, 888, 893, 983, 1032, 1041, 1143, 1152, 1188, 1193, 1198, 1204, 1211, 1231, 1232, 1249, 1254, 1259, 1345, 1387, 1391, 1394, 1395, 1413, 1417, 1420, 1422, 1423, 1432, 1433, 1458, 1469, 1470, 1472, 1474, 1477, 1478, 1486, 1488, 1490, 1494, 1498, 1499, 1741, 2172, 2184, 2186, 2188, 2192, 2193, 2195, 2197, 2199, 2200, 2202, 2204, 2207, 2210, 2211, 2212, 2216, 2220, 2222, 2223, 2231, 2232, 2233, 2235, 2236, 2238, 2241, 2242, 2259, 2264, 2265, 2266, 2271, 2276, 2277, 2289, 2294, 2307, 2308], "addition": [0, 2, 19, 34, 1064, 1118, 1387, 1393, 1415, 2168, 2185, 2190, 2195, 2199, 2203, 2204, 2207, 2210, 2212, 2218, 2222, 2235, 2238, 2246, 2277, 2289, 2294, 2298, 2307], "address": [1, 6, 10, 13, 16, 17, 18, 19, 34, 1031, 2190, 2191, 2195, 2199, 2228, 2235, 2236, 2239, 2241, 2258, 2289, 2294, 2298], "adel": 25, "adher": 2199, "adj": [2186, 2227], "adj_total_bil": [16, 19], "adjac": [1344, 2195], "adjust": [5, 91, 121, 213, 345, 696, 788, 969, 1398, 1403, 1404, 1458, 2191, 2199, 2207, 2212, 2220, 2222, 2249, 2262, 2271, 2283], "admin": [0, 13, 2218], "ado": 2199, "adopt": [1423, 2207, 2265, 2307], "adorn": 2211, "adult_nam": 25, "advanc": [2, 3, 21, 27, 30, 160, 738, 1415, 1433, 1469, 1470, 1486, 2184, 2186, 2188, 2195, 2196, 2197, 2204, 2210, 2211, 2216, 2220, 2222, 2232, 2246], "advantag": [17, 31, 2188, 2197, 2214, 2225, 2235, 2307], "advertis": 0, "advic": 2207, "advis": [34, 259, 890, 2199], "aeiou": 2195, "affect": [65, 85, 125, 219, 259, 267, 532, 573, 596, 701, 890, 896, 931, 1007, 1275, 1343, 1345, 1391, 1416, 1422, 1423, 1488, 1490, 2186, 2193, 2195, 2199, 2202, 2211, 2212, 2218, 2220, 2222, 2225, 2228, 2230, 2232, 2235, 2238, 2240, 2241, 2246, 2249, 2256, 2260, 2261, 2277, 2294, 2298, 2302], "affili": 2188, "after": [1, 2, 3, 4, 5, 6, 10, 13, 16, 17, 19, 24, 25, 32, 50, 69, 71, 91, 109, 129, 130, 146, 171, 173, 185, 199, 204, 206, 212, 215, 216, 217, 220, 221, 222, 230, 233, 240, 244, 248, 259, 274, 275, 276, 330, 428, 502, 506, 573, 580, 586, 605, 685, 720, 787, 804, 807, 816, 818, 853, 861, 865, 873, 881, 890, 902, 923, 1036, 1194, 1255, 1274, 1345, 1373, 1390, 1391, 1399, 1415, 1423, 1436, 1454, 1458, 1469, 1470, 1475, 1486, 1487, 1488, 1489, 1490, 1498, 1741, 2185, 2188, 2190, 2195, 2197, 2199, 2201, 2202, 2203, 2207, 2208, 2210, 2211, 2212, 2214, 2222, 2223, 2225, 2227, 2228, 2231, 2232, 2233, 2235, 2240, 2241, 2243, 2246, 2247, 2249, 2250, 2265, 2269, 2271, 2273, 2275, 2276, 2278, 2279, 2283, 2286, 2289, 2293, 2294, 2298, 2302], "after_head_row": 2207, "after_row": 2207, "after_t": 2207, "afternoon": [213, 788], "afterward": [6, 2188, 2197, 2199, 2289, 2292], "ag": [23, 24, 25, 28, 29, 32, 101, 142, 148, 149, 177, 178, 190, 193, 242, 259, 282, 283, 725, 726, 755, 756, 766, 768, 817, 890, 910, 1343, 1387, 2166, 2204, 2219, 2249], "again": [1, 6, 17, 25, 27, 29, 31, 32, 77, 79, 586, 591, 821, 1031, 2190, 2191, 2195, 2199, 2212, 2233, 2235, 2238, 2239, 2240, 2242, 2270, 2271, 2277, 2278], "against": [2, 18, 119, 169, 197, 375, 390, 455, 473, 695, 836, 837, 838, 839, 840, 841, 842, 843, 844, 1094, 1136, 1446, 1469, 1470, 1486, 2190, 2193, 2197, 2199, 2200, 2209, 2218, 2228, 2230, 2232, 2233, 2235, 2238, 2241, 2246, 2249, 2271, 2273, 2283], "agarw": 2248, "age_list": [190, 193, 766, 768], "age_no_na": 25, "age_sex": 25, "agenda": 0, "agent": [2199, 2283], "agg": [15, 18, 28, 73, 273, 509, 582, 586, 900, 1149, 1152, 1208, 1211, 1269, 1270, 1304, 1321, 1369, 1382, 1400, 2184, 2186, 2195, 2207, 2210, 2212, 2220, 2222, 2230, 2232, 2236, 2241, 2242, 2245, 2246, 2249, 2265, 2266, 2267, 2268, 2269, 2273, 2274, 2275, 2277, 2284, 2285, 2286, 2287, 2292, 2298, 2299, 2302, 2303, 2304], "agg_1": 509, "agg_a": 509, "aggfunc": [15, 17, 29, 185, 509, 1148, 1149, 1342, 1454, 2195, 2199, 2204, 2220, 2222, 2231, 2232, 2235, 2241, 2249, 2265, 2271, 2277, 2289], "aggreg": [20, 21, 23, 29, 31, 34, 35, 72, 76, 77, 79, 134, 155, 156, 164, 165, 166, 170, 184, 185, 218, 232, 273, 509, 581, 585, 586, 591, 709, 730, 731, 742, 743, 744, 746, 793, 806, 900, 1148, 1152, 1178, 1181, 1193, 1198, 1200, 1203, 1207, 1211, 1237, 1240, 1254, 1261, 1264, 1270, 1298, 1299, 1300, 1301, 1302, 1303, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1352, 1444, 1453, 1454, 2166, 2194, 2196, 2203, 2204, 2211, 2212, 2214, 2215, 2220, 2221, 2223, 2224, 2225, 2226, 2227, 2228, 2230, 2232, 2235, 2236, 2238, 2241, 2242, 2246, 2256, 2257, 2261, 2262, 2265, 2266, 2271, 2272, 2275, 2276, 2278, 2279, 2283, 2286, 2287, 2289, 2290, 2294, 2298, 2299, 2302, 2303, 2307], "aggress": [2231, 2283], "agnost": 2199, "agre": [13, 23, 2188, 2200, 2277], "agreement": 13, "ahead": [2, 16, 17, 19, 2199, 2210], "ai": [176, 179], "aic": [2186, 2227], "aid": 2185, "aim": [0, 13, 15, 34, 2195, 2197, 2207], "air": [26, 27, 29, 30, 31, 2228], "air_qual": [26, 27, 29, 30, 31], "air_quality_": 30, "air_quality_long": 29, "air_quality_no2": [26, 27, 30], "air_quality_no2_long": [30, 31], "air_quality_paramet": 30, "air_quality_parameters_nam": 30, "air_quality_pm25": 30, "air_quality_pm25_long": 30, "air_quality_renam": 27, "air_quality_st": 30, "air_quality_stations_coord": 30, "airflow": 13, "airspe": 2, "aka": [1, 23, 24, 2210], "akima": [146, 720, 1280, 2201, 2231, 2271], "akima1dinterpol": [146, 720], "akin": 18, "al": [16, 17, 19, 2191], "albania": 2199, "albeit": [2186, 2298], "albert": 2248, "alert": 2220, "alex": 2247, "alfr": [114, 148, 149, 177, 178, 725, 726, 755, 756], "algebra": [2184, 2257], "algo": [2228, 2229, 2235, 2289], "algorithm": [3, 34, 233, 234, 589, 807, 808, 1044, 1064, 2195, 2199, 2205, 2211, 2212, 2220, 2259, 2307], "alia": [2, 3, 16, 17, 19, 23, 72, 73, 148, 149, 177, 178, 292, 294, 332, 413, 507, 508, 510, 511, 513, 515, 535, 581, 582, 644, 646, 688, 725, 726, 729, 755, 756, 931, 1007, 1012, 1118, 1148, 1149, 1269, 1270, 1272, 1304, 1321, 1452, 1469, 1486, 1503, 1504, 1505, 1654, 1655, 1656, 2167, 2176, 2186, 2195, 2198, 2203, 2206, 2210, 2218, 2225, 2228, 2230, 2232, 2235, 2238, 2246, 2257, 2265, 2271, 2277, 2283, 2296, 2297, 2298, 2302], "alias": [2, 3, 31, 251, 253, 259, 269, 288, 296, 318, 326, 423, 533, 639, 652, 673, 680, 884, 886, 890, 940, 943, 948, 1123, 1124, 1192, 1253, 1344, 1431, 1462, 2167, 2185, 2186, 2195, 2209, 2218, 2220, 2228, 2230, 2232, 2234, 2235, 2238, 2246, 2249, 2261, 2298], "alic": [142, 274, 599, 2202, 2205, 2228], "align": [0, 34, 63, 65, 69, 92, 96, 100, 109, 110, 118, 129, 132, 134, 135, 142, 145, 159, 160, 161, 163, 171, 173, 175, 186, 199, 204, 206, 215, 216, 217, 220, 221, 222, 223, 244, 257, 259, 275, 280, 284, 354, 378, 380, 465, 489, 541, 573, 578, 616, 619, 622, 624, 631, 694, 706, 707, 709, 710, 718, 734, 738, 739, 741, 747, 749, 753, 762, 773, 777, 780, 790, 791, 792, 795, 796, 797, 798, 821, 878, 890, 901, 907, 912, 1146, 1156, 1188, 1203, 1213, 1215, 1249, 1264, 1345, 1391, 1398, 1407, 1418, 1433, 1488, 1490, 2184, 2195, 2197, 2199, 2200, 2201, 2202, 2207, 2210, 2211, 2213, 2214, 2215, 2217, 2218, 2219, 2220, 2221, 2222, 2225, 2226, 2227, 2231, 2232, 2235, 2238, 2241, 2242, 2246, 2253, 2254, 2256, 2257, 2258, 2261, 2263, 2264, 2265, 2267, 2275, 2277, 2280, 2289, 2293, 2294, 2298, 2302], "align_axi": [96, 619, 2200], "align_kei": [2199, 2298], "alist": 2217, "aliv": [7, 2190, 2199, 2302], "all": [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 13, 14, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 29, 31, 32, 34, 35, 39, 41, 53, 56, 60, 61, 65, 68, 74, 76, 80, 81, 82, 85, 91, 92, 96, 97, 107, 111, 112, 114, 116, 117, 119, 123, 125, 127, 128, 131, 134, 136, 137, 143, 144, 146, 147, 151, 157, 158, 160, 167, 169, 176, 179, 182, 184, 185, 186, 187, 188, 189, 192, 193, 195, 197, 200, 201, 202, 203, 207, 208, 209, 210, 212, 213, 214, 218, 224, 226, 227, 230, 238, 240, 245, 248, 252, 253, 256, 257, 258, 259, 261, 264, 266, 267, 269, 270, 272, 274, 276, 277, 278, 282, 346, 348, 351, 354, 357, 362, 363, 368, 369, 371, 373, 376, 378, 417, 421, 425, 436, 445, 465, 466, 489, 492, 494, 500, 501, 514, 516, 532, 573, 577, 583, 585, 590, 592, 593, 596, 608, 613, 614, 616, 619, 620, 622, 629, 634, 692, 693, 695, 699, 701, 703, 704, 709, 712, 719, 720, 732, 733, 736, 738, 754, 757, 760, 762, 763, 764, 765, 768, 770, 774, 775, 781, 782, 783, 784, 787, 788, 789, 793, 801, 802, 804, 816, 819, 820, 821, 828, 829, 831, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 848, 849, 856, 857, 862, 863, 866, 868, 869, 870, 871, 872, 876, 877, 879, 880, 881, 886, 888, 889, 890, 894, 896, 897, 898, 902, 903, 904, 908, 927, 930, 1041, 1049, 1050, 1052, 1056, 1063, 1076, 1117, 1118, 1141, 1146, 1154, 1164, 1173, 1183, 1188, 1193, 1213, 1221, 1242, 1243, 1244, 1249, 1254, 1275, 1280, 1298, 1299, 1306, 1308, 1323, 1325, 1342, 1343, 1344, 1345, 1360, 1387, 1388, 1389, 1390, 1391, 1393, 1394, 1397, 1398, 1400, 1403, 1404, 1406, 1407, 1411, 1416, 1419, 1424, 1430, 1431, 1432, 1433, 1443, 1444, 1445, 1446, 1453, 1454, 1458, 1463, 1469, 1470, 1471, 1475, 1476, 1481, 1485, 1486, 1487, 1488, 1490, 1493, 1498, 2166, 2167, 2172, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2196, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2210, 2211, 2212, 2213, 2214, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2239, 2240, 2241, 2242, 2243, 2245, 2246, 2248, 2249, 2250, 2257, 2261, 2263, 2265, 2277, 2278, 2279, 2281, 2282, 2283, 2285, 2290, 2293, 2294, 2295, 2298, 2302, 2304, 2307, 2308], "all_error": [16, 17, 18, 19, 2199, 2235], "all_pass": 17, "all_timezon": 2210, "allan": 2215, "allclos": 2283, "allen": [23, 32], "allevi": [2228, 2261], "allianc": 2199, "allig": [136, 248, 712, 881], "alloc": [364, 1040, 1052, 2217, 2230, 2246], "allow": [1, 2, 3, 5, 8, 10, 13, 16, 17, 18, 19, 22, 47, 63, 66, 74, 82, 114, 119, 120, 130, 141, 144, 145, 153, 160, 169, 186, 188, 189, 195, 202, 203, 210, 212, 214, 223, 227, 252, 256, 258, 266, 267, 268, 286, 342, 345, 346, 351, 352, 406, 505, 573, 583, 593, 695, 717, 738, 762, 764, 765, 770, 784, 787, 789, 798, 802, 829, 888, 889, 896, 1058, 1063, 1077, 1118, 1122, 1146, 1152, 1183, 1188, 1192, 1194, 1211, 1244, 1249, 1253, 1255, 1343, 1344, 1387, 1390, 1415, 1416, 1417, 1433, 1436, 1446, 1447, 1462, 1463, 1469, 1470, 1474, 1476, 1486, 1487, 1494, 1498, 2184, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2193, 2195, 2197, 2199, 2200, 2202, 2207, 2208, 2209, 2210, 2211, 2212, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2228, 2230, 2231, 2232, 2233, 2234, 2235, 2238, 2239, 2241, 2243, 2246, 2247, 2249, 2250, 2255, 2257, 2259, 2261, 2265, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "allow_2d": 2298, "allow_arg": [2184, 2199, 2205, 2246], "allow_copi": [66, 1077, 2302], "allow_dup": [2192, 2197], "allow_dupl": [145, 214, 505, 789, 2217, 2294], "allow_exact_match": [1447, 2200, 2232], "allow_fil": [430, 1064, 2231, 2246, 2289], "allow_mgr": 2203, "allow_nan": 2, "allow_object": 2210, "allow_set": [1101, 2232, 2246], "allowed_typ": 2249, "allowlist": 2221, "allows_duplicate_label": [227, 342, 705, 802, 1355, 2192, 2277], "almena": 2199, "almond": [359, 360, 587, 588], "almost": [4, 16, 19, 1424, 2186, 2193, 2199], "alomasa02": 2191, "along": [1, 2, 9, 30, 35, 74, 75, 76, 77, 78, 89, 92, 99, 100, 113, 114, 124, 125, 134, 139, 140, 146, 160, 162, 172, 183, 184, 188, 205, 233, 234, 249, 310, 321, 417, 420, 583, 584, 585, 601, 616, 622, 635, 700, 701, 709, 715, 716, 720, 738, 761, 764, 778, 799, 808, 882, 945, 1040, 1041, 1052, 1063, 1064, 1146, 1155, 1156, 1166, 1167, 1174, 1175, 1202, 1213, 1223, 1224, 1231, 1232, 1263, 1280, 1387, 1395, 1396, 1406, 1407, 1411, 1413, 1414, 1415, 1453, 1469, 1486, 1498, 2184, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2204, 2211, 2214, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2257, 2258, 2263, 2264, 2265, 2271, 2287, 2289, 2294, 2302, 2307], "alongsid": [1498, 2186, 2199, 2210, 2298], "aloumo01": 2191, "alpha": [26, 121, 144, 176, 179, 193, 696, 768, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1403, 1465, 2211, 2212, 2222, 2230, 2260, 2261, 2283], "alphabet": [836, 837, 838, 839, 840, 841, 842, 843, 844, 857, 2208, 2226, 2228, 2235, 2241, 2283], "alphanumer": [353, 836, 837, 838, 839, 840, 841, 842, 843, 844], "alreadi": [2, 3, 5, 10, 19, 21, 27, 34, 44, 74, 79, 82, 98, 143, 145, 153, 169, 207, 208, 209, 210, 226, 227, 251, 253, 256, 264, 267, 270, 274, 276, 277, 278, 341, 346, 583, 591, 593, 621, 719, 779, 781, 782, 783, 784, 801, 802, 880, 884, 886, 888, 894, 896, 898, 902, 903, 904, 1146, 1271, 1345, 1376, 1391, 1400, 1416, 1431, 1446, 1488, 1490, 2167, 2186, 2188, 2195, 2197, 2199, 2201, 2202, 2203, 2207, 2216, 2220, 2222, 2232, 2235, 2238, 2239, 2240, 2241, 2246, 2249, 2265, 2267, 2271, 2277, 2278, 2283, 2289, 2293, 2294, 2295, 2298, 2299, 2302, 2307], "also": [0, 1, 2, 4, 5, 6, 10, 13, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 27, 29, 30, 31, 32, 34, 35, 49, 55, 60, 63, 74, 77, 90, 96, 97, 102, 107, 110, 134, 141, 146, 160, 162, 169, 182, 184, 185, 190, 192, 202, 203, 207, 209, 210, 212, 214, 233, 234, 247, 251, 252, 253, 258, 265, 267, 268, 272, 277, 278, 281, 331, 341, 345, 353, 386, 390, 427, 436, 445, 459, 466, 482, 498, 502, 547, 548, 583, 602, 613, 619, 620, 629, 632, 686, 709, 717, 720, 738, 740, 750, 760, 766, 781, 783, 784, 787, 807, 808, 824, 832, 836, 837, 838, 839, 840, 841, 842, 843, 844, 853, 861, 880, 884, 886, 889, 895, 896, 903, 904, 906, 907, 908, 938, 956, 957, 970, 983, 997, 1013, 1043, 1097, 1110, 1115, 1117, 1123, 1124, 1125, 1146, 1148, 1149, 1158, 1164, 1183, 1203, 1207, 1208, 1221, 1244, 1264, 1280, 1305, 1322, 1342, 1343, 1344, 1345, 1383, 1387, 1391, 1393, 1400, 1402, 1416, 1423, 1431, 1433, 1446, 1453, 1454, 1469, 1472, 1473, 1476, 1477, 1478, 1479, 1480, 1485, 1486, 1487, 1488, 1490, 1498, 1598, 1677, 1793, 1815, 2166, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2235, 2240, 2241, 2242, 2243, 2246, 2248, 2249, 2255, 2257, 2260, 2261, 2263, 2265, 2271, 2277, 2283, 2289, 2291, 2292, 2293, 2294, 2298, 2302, 2307], "altair": [10, 2211], "alter": [5, 34, 137, 186, 210, 226, 418, 762, 783, 784, 801, 1173, 1188, 1249, 2196, 2199, 2202, 2204, 2214, 2230, 2238, 2246, 2249, 2253, 2265, 2272, 2273, 2277, 2283, 2294], "altern": [5, 6, 10, 14, 15, 16, 17, 18, 19, 22, 26, 81, 82, 90, 91, 96, 111, 125, 131, 137, 183, 186, 188, 189, 192, 195, 197, 209, 212, 242, 282, 283, 593, 602, 619, 701, 713, 761, 762, 764, 765, 770, 783, 787, 817, 910, 911, 1052, 1148, 1149, 1154, 1167, 1173, 1187, 1188, 1203, 1207, 1208, 1224, 1230, 1248, 1249, 1264, 1289, 1387, 1390, 1415, 1467, 1474, 2167, 2190, 2193, 2194, 2195, 2197, 2199, 2209, 2210, 2211, 2217, 2222, 2228, 2230, 2232, 2238, 2246, 2249, 2254, 2256, 2277, 2283, 2291, 2294, 2298, 2307], "although": [22, 2195, 2207, 2210, 2211, 2294], "altogeth": [6, 8, 9, 1469, 1486, 2199], "alwai": [1, 2, 3, 4, 6, 7, 9, 24, 30, 34, 72, 73, 74, 85, 108, 144, 153, 205, 274, 364, 430, 491, 581, 582, 583, 586, 590, 596, 630, 748, 778, 828, 916, 923, 1063, 1064, 1117, 1118, 1122, 1146, 1191, 1252, 1269, 1270, 1304, 1321, 1350, 1423, 1433, 1443, 1475, 1477, 1487, 1498, 1793, 1815, 2090, 2185, 2186, 2187, 2188, 2190, 2191, 2193, 2195, 2197, 2199, 2201, 2207, 2208, 2210, 2211, 2212, 2214, 2217, 2218, 2220, 2221, 2222, 2226, 2228, 2230, 2231, 2232, 2238, 2239, 2241, 2242, 2247, 2249, 2260, 2265, 2277, 2279, 2289, 2294, 2298, 2299, 2302, 2307, 2308], "am": [88, 322, 405, 532, 562, 600, 677, 740, 2194, 2300], "amax": 2235, "amazon": [22, 2199, 2225], "ambigu": [278, 286, 288, 296, 318, 331, 639, 652, 673, 686, 904, 940, 943, 948, 953, 957, 970, 997, 1014, 2184, 2185, 2186, 2194, 2197, 2199, 2201, 2202, 2218, 2220, 2222, 2228, 2229, 2230, 2233, 2238, 2241, 2246, 2249, 2265, 2271, 2277, 2298, 2307], "ambiguous_as_wid": [1345, 1391, 1488, 1490, 2202, 2228], "ambiguousindexerror": 2235, "ambiguoustimeerror": [278, 286, 288, 296, 318, 331, 639, 652, 673, 686, 904, 940, 943, 948, 957, 970, 997, 1014, 2210, 2222, 2232, 2234, 2246, 2271, 2277, 2307], "amen": 2263, "amend": [2230, 2285], "america": [9, 37, 335, 336, 2199, 2294], "amin": 2235, "among": [1, 69, 102, 107, 109, 118, 119, 129, 132, 135, 159, 161, 171, 173, 175, 188, 189, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 629, 695, 764, 765, 1154, 1158, 1164, 1221, 2185, 2188, 2194, 2195, 2199, 2209, 2219, 2238, 2277], "amongst": 2241, "amount": [2, 3, 15, 18, 24, 34, 134, 144, 709, 1423, 1465, 2193, 2199, 2200, 2206, 2210, 2212, 2214, 2260], "amp": [1403, 1404, 2199, 2207], "amro": 2220, "amsterdam": [288, 296, 318, 639, 652, 673, 940, 943, 948, 957, 970, 997], "an": [0, 3, 4, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 29, 30, 31, 34, 35, 36, 37, 39, 42, 44, 45, 46, 47, 48, 49, 54, 56, 57, 63, 72, 73, 75, 76, 77, 79, 80, 81, 82, 89, 90, 92, 97, 98, 102, 103, 104, 105, 106, 107, 108, 110, 117, 118, 119, 120, 121, 124, 125, 126, 130, 131, 132, 134, 135, 137, 139, 140, 141, 142, 146, 148, 149, 152, 153, 159, 160, 161, 163, 165, 166, 167, 168, 169, 174, 175, 177, 178, 183, 185, 186, 187, 188, 189, 191, 194, 195, 200, 201, 202, 203, 207, 208, 209, 212, 213, 218, 219, 223, 225, 226, 228, 230, 231, 232, 233, 242, 245, 249, 251, 252, 253, 256, 257, 258, 259, 263, 265, 266, 267, 268, 271, 272, 274, 278, 281, 282, 283, 284, 286, 288, 296, 303, 318, 321, 322, 325, 326, 327, 328, 331, 334, 337, 341, 342, 343, 344, 345, 346, 350, 351, 352, 353, 354, 356, 361, 362, 363, 364, 369, 375, 376, 377, 378, 379, 380, 381, 383, 402, 403, 405, 406, 413, 415, 417, 419, 423, 427, 430, 431, 432, 433, 437, 440, 441, 442, 443, 444, 445, 449, 451, 455, 457, 459, 461, 462, 463, 464, 465, 466, 467, 469, 473, 475, 476, 477, 487, 489, 491, 504, 522, 524, 538, 562, 568, 573, 576, 581, 582, 584, 585, 586, 590, 591, 592, 593, 601, 602, 610, 616, 617, 620, 621, 625, 626, 627, 628, 629, 630, 632, 634, 636, 639, 652, 655, 673, 677, 680, 681, 682, 683, 686, 693, 695, 696, 699, 700, 701, 702, 709, 713, 715, 716, 717, 718, 720, 724, 725, 726, 727, 728, 738, 740, 741, 743, 744, 755, 756, 761, 762, 763, 764, 765, 767, 769, 770, 774, 775, 776, 779, 781, 782, 783, 786, 787, 788, 793, 794, 798, 800, 801, 804, 806, 807, 808, 814, 817, 821, 823, 828, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 852, 853, 854, 855, 857, 861, 865, 866, 874, 877, 879, 882, 884, 885, 886, 888, 889, 890, 891, 893, 895, 896, 899, 904, 905, 910, 911, 912, 916, 931, 940, 943, 948, 950, 951, 952, 953, 957, 970, 997, 1007, 1008, 1014, 1027, 1028, 1029, 1030, 1031, 1032, 1034, 1035, 1036, 1037, 1038, 1043, 1044, 1045, 1048, 1051, 1052, 1053, 1056, 1060, 1063, 1064, 1067, 1068, 1069, 1070, 1071, 1072, 1076, 1078, 1081, 1082, 1086, 1088, 1090, 1091, 1097, 1099, 1100, 1105, 1106, 1110, 1111, 1112, 1113, 1115, 1117, 1118, 1119, 1121, 1122, 1123, 1124, 1125, 1127, 1128, 1129, 1130, 1131, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1141, 1142, 1143, 1144, 1158, 1164, 1167, 1169, 1173, 1174, 1175, 1177, 1183, 1188, 1193, 1202, 1204, 1221, 1224, 1226, 1230, 1231, 1232, 1236, 1244, 1249, 1254, 1263, 1269, 1270, 1272, 1274, 1275, 1276, 1280, 1281, 1286, 1304, 1305, 1321, 1322, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1347, 1348, 1350, 1351, 1352, 1353, 1354, 1355, 1357, 1359, 1360, 1361, 1362, 1363, 1364, 1373, 1383, 1387, 1388, 1389, 1391, 1393, 1394, 1395, 1396, 1397, 1407, 1413, 1414, 1416, 1422, 1430, 1431, 1433, 1436, 1439, 1441, 1442, 1443, 1445, 1446, 1449, 1450, 1454, 1459, 1464, 1467, 1469, 1470, 1473, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1490, 1495, 1498, 1499, 1500, 1502, 1741, 1773, 1854, 1891, 1909, 1927, 1947, 1979, 2033, 2087, 2163, 2164, 2166, 2167, 2168, 2172, 2173, 2184, 2187, 2188, 2190, 2191, 2192, 2193, 2194, 2196, 2198, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2246, 2247, 2248, 2250, 2251, 2256, 2257, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2289, 2290, 2291, 2292, 2293, 2295, 2296, 2297, 2298, 2299, 2301, 2302, 2304, 2307, 2308], "an_integ": 2231, "anaconda": 21, "anaconda3": 22, "analog": [16, 17, 19, 266, 789, 823, 850, 956, 957, 962, 970, 990, 993, 995, 997, 1007, 1009, 1010, 1013, 1014, 1415, 2185, 2186, 2188, 2191, 2197, 2209, 2218, 2222, 2232, 2255, 2264, 2298], "analogi": 241, "analogu": [279, 2185, 2257, 2289, 2298], "analys": [16, 19], "analysi": [2, 15, 22, 31, 34, 36, 102, 107, 203, 629, 1158, 1164, 1221, 2185, 2186, 2191, 2197, 2199, 2205, 2210, 2212], "analyt": [20, 22, 2199, 2205, 2215, 2218, 2224, 2229, 2235], "analyz": [2, 24, 30, 34, 107, 629, 1164, 1221, 2190, 2205], "anchor": [1280, 1452, 2230, 2232, 2246, 2265], "anded": 2193, "ander": 25, "andersson": 25, "andrew": 1455, "andrews_curv": [1463, 2172, 2211, 2220, 2230, 2265], "angel": [18, 2248], "angl": [69, 91, 109, 129, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 1154, 1458], "anguilla": [176, 179, 754, 757, 1242, 1243], "ani": [0, 1, 2, 3, 5, 6, 7, 9, 10, 13, 14, 16, 19, 26, 30, 31, 34, 46, 56, 61, 66, 69, 72, 73, 74, 75, 79, 80, 83, 89, 91, 94, 98, 107, 109, 111, 112, 114, 116, 117, 118, 124, 125, 129, 131, 132, 134, 135, 142, 153, 159, 160, 161, 169, 171, 173, 175, 184, 185, 197, 199, 204, 205, 206, 207, 209, 212, 215, 216, 217, 219, 220, 221, 222, 224, 244, 247, 250, 256, 261, 262, 265, 267, 274, 275, 276, 281, 285, 310, 341, 342, 353, 356, 364, 366, 367, 371, 375, 385, 429, 449, 467, 492, 501, 578, 583, 584, 590, 591, 592, 594, 599, 601, 614, 621, 629, 631, 693, 694, 700, 701, 706, 707, 709, 710, 711, 734, 738, 739, 747, 749, 753, 773, 777, 778, 780, 781, 787, 790, 791, 792, 795, 796, 797, 821, 823, 828, 829, 831, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 849, 863, 868, 878, 880, 883, 888, 893, 895, 896, 901, 902, 905, 913, 932, 945, 972, 1031, 1035, 1040, 1041, 1051, 1056, 1064, 1068, 1077, 1103, 1131, 1143, 1146, 1154, 1164, 1183, 1184, 1204, 1221, 1244, 1342, 1343, 1344, 1345, 1387, 1391, 1394, 1399, 1402, 1403, 1404, 1415, 1423, 1432, 1433, 1435, 1436, 1446, 1453, 1454, 1458, 1469, 1470, 1473, 1474, 1475, 1476, 1477, 1478, 1479, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1490, 1494, 1495, 1498, 1499, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2196, 2197, 2198, 2199, 2200, 2202, 2204, 2205, 2206, 2207, 2208, 2210, 2211, 2212, 2216, 2217, 2218, 2220, 2224, 2225, 2226, 2228, 2230, 2232, 2235, 2237, 2238, 2239, 2241, 2243, 2246, 2248, 2249, 2250, 2261, 2265, 2271, 2277, 2278, 2283, 2287, 2289, 2294, 2298, 2302, 2304, 2307, 2309, 2310], "anim": [3, 15, 134, 136, 137, 147, 152, 164, 170, 195, 205, 210, 245, 248, 268, 271, 285, 325, 328, 345, 431, 433, 494, 634, 692, 709, 712, 724, 742, 746, 770, 778, 784, 879, 881, 892, 899, 913, 950, 952, 1146, 1173, 1265, 1387, 1485, 2195, 2204, 2249, 2271, 2298], "animal1": 15, "animal2": 15, "animal3": 15, "animal_1": 260, "animal_2": 260, "ann": 281, "anna": [25, 599], "anni": 25, "annot": [1, 2, 2193, 2307], "announc": [0, 13, 2218, 2219, 2229], "annual": [2210, 2228, 2307], "anomali": 2199, "anon": 2199, "anonym": [25, 586, 2199], "anoth": [3, 7, 13, 15, 16, 17, 18, 19, 65, 81, 94, 96, 99, 102, 108, 110, 153, 160, 186, 188, 189, 190, 195, 214, 256, 261, 277, 280, 330, 331, 445, 619, 622, 630, 632, 685, 686, 738, 740, 762, 764, 765, 766, 770, 789, 865, 873, 888, 893, 903, 956, 1013, 1045, 1050, 1111, 1155, 1158, 1165, 1188, 1213, 1222, 1249, 1397, 1400, 1402, 1430, 1498, 2184, 2185, 2188, 2190, 2191, 2195, 2197, 2198, 2199, 2200, 2203, 2207, 2209, 2210, 2211, 2212, 2217, 2218, 2221, 2225, 2226, 2231, 2232, 2235, 2241, 2246, 2263, 2265, 2271, 2277, 2283, 2289, 2294, 2297, 2298, 2301, 2302], "ansibl": 13, "answer": [0, 13, 34, 2186, 2246], "ant": [3, 281, 325, 328, 355, 411, 412, 424, 431, 433, 574, 751, 752, 805, 849, 863, 868, 950, 952, 1441, 1442, 1449, 1450], "antelop": 3, "antwerp": [26, 27, 29, 30, 31], "antwerpen": [29, 31], "any_json_valu": 2, "anybodi": 13, "anyio": 22, "anymor": [1, 16, 17, 18, 19, 25, 494, 2190, 2197, 2208, 2220, 2222, 2226, 2246, 2265, 2294, 2298], "anyon": [0, 13], "anyth": [3, 13, 34, 504, 1078, 1470, 2199, 2217, 2218, 2231, 2246, 2265, 2283, 2289, 2294, 2298], "anywai": 2246, "anywher": [1498, 2227], "apach": [11, 1068, 2199, 2203, 2302, 2307], "apart": [23, 26, 2188, 2191, 2283], "api": [0, 2, 4, 7, 10, 13, 14, 15, 16, 22, 34, 36, 37, 38, 66, 82, 120, 121, 122, 134, 182, 213, 218, 255, 322, 345, 391, 393, 394, 398, 399, 562, 593, 677, 696, 697, 709, 760, 788, 793, 915, 953, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1143, 1144, 1192, 1193, 1253, 1254, 1473, 1476, 1485, 2167, 2168, 2171, 2177, 2179, 2183, 2184, 2185, 2187, 2188, 2193, 2194, 2195, 2196, 2198, 2201, 2202, 2203, 2205, 2207, 2208, 2210, 2211, 2212, 2213, 2239, 2273, 2287, 2290, 2299, 2300, 2308], "apicli": [2221, 2232], "apostroph": 2289, "app": [2, 6], "appar": 2216, "apparit": [436, 908], "appear": [1, 2, 6, 39, 91, 96, 134, 169, 172, 205, 429, 435, 498, 619, 709, 748, 754, 757, 778, 829, 905, 1035, 1117, 1191, 1242, 1243, 1252, 1265, 1272, 1275, 1286, 1446, 1458, 2163, 2184, 2186, 2188, 2195, 2197, 2199, 2200, 2209, 2210, 2211, 2218, 2222, 2225, 2226, 2227, 2228, 2230, 2232, 2235, 2241, 2246, 2271, 2307], "appeas": 2, "append": [3, 5, 18, 169, 228, 248, 251, 253, 255, 256, 258, 267, 341, 351, 353, 862, 866, 881, 884, 886, 888, 889, 896, 1117, 1146, 1193, 1254, 1345, 1347, 1390, 1391, 1400, 1431, 1446, 1469, 1470, 1475, 1486, 1488, 1490, 1492, 2184, 2195, 2197, 2199, 2202, 2210, 2214, 2215, 2216, 2217, 2218, 2219, 2221, 2222, 2226, 2228, 2229, 2232, 2233, 2234, 2238, 2241, 2246, 2249, 2253, 2256, 2257, 2261, 2262, 2265, 2271, 2273, 2277, 2279, 2283, 2298, 2302, 2303], "append_to_multipl": [2199, 2215, 2271], "appl": [17, 182, 384, 392, 394, 398, 399, 400, 420, 760, 799, 1499, 2186, 2197, 2199, 2202, 2214], "appli": [3, 10, 13, 14, 15, 16, 18, 19, 21, 23, 26, 27, 28, 29, 30, 31, 32, 34, 56, 68, 72, 73, 78, 79, 85, 97, 121, 126, 134, 155, 156, 162, 164, 165, 166, 170, 172, 183, 185, 200, 201, 207, 208, 209, 210, 212, 213, 227, 232, 233, 234, 245, 257, 259, 266, 267, 269, 273, 321, 342, 378, 405, 417, 427, 445, 465, 489, 500, 501, 509, 541, 577, 581, 582, 591, 596, 597, 620, 622, 696, 702, 705, 709, 730, 731, 740, 742, 743, 744, 746, 761, 774, 775, 781, 782, 783, 784, 787, 788, 802, 806, 807, 808, 831, 879, 890, 896, 897, 900, 1148, 1149, 1150, 1151, 1157, 1159, 1160, 1161, 1162, 1163, 1165, 1168, 1169, 1172, 1177, 1178, 1179, 1181, 1183, 1186, 1187, 1191, 1192, 1193, 1197, 1198, 1199, 1200, 1201, 1203, 1205, 1207, 1208, 1209, 1210, 1213, 1214, 1216, 1217, 1218, 1219, 1220, 1222, 1225, 1226, 1229, 1236, 1237, 1238, 1240, 1244, 1247, 1248, 1252, 1253, 1254, 1258, 1259, 1260, 1261, 1262, 1264, 1267, 1269, 1271, 1273, 1276, 1281, 1289, 1293, 1296, 1304, 1321, 1343, 1394, 1396, 1397, 1398, 1399, 1400, 1402, 1403, 1404, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1414, 1415, 1416, 1418, 1421, 1424, 1430, 1433, 1435, 1447, 1454, 1465, 1468, 1469, 1470, 1471, 1472, 1475, 1476, 1477, 1478, 1481, 1482, 1483, 1484, 1486, 1487, 1498, 1499, 1578, 1598, 1657, 1677, 1699, 1720, 1741, 2180, 2184, 2191, 2192, 2193, 2194, 2196, 2197, 2199, 2200, 2204, 2205, 2206, 2207, 2208, 2210, 2211, 2214, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2232, 2235, 2236, 2238, 2239, 2242, 2246, 2247, 2248, 2250, 2255, 2257, 2260, 2266, 2267, 2269, 2272, 2273, 2274, 2275, 2277, 2278, 2283, 2286, 2290, 2295, 2297, 2298, 2300, 2302, 2303, 2307], "applic": [2, 6, 8, 9, 10, 26, 34, 102, 121, 163, 186, 207, 208, 256, 278, 284, 286, 288, 296, 318, 331, 633, 639, 652, 673, 686, 696, 741, 762, 781, 782, 888, 904, 912, 940, 943, 948, 957, 970, 997, 1014, 1141, 1158, 1188, 1203, 1249, 1264, 1395, 1406, 1413, 1415, 1423, 1478, 2172, 2184, 2185, 2190, 2193, 2196, 2199, 2201, 2204, 2207, 2210, 2212, 2228, 2230, 2232, 2235, 2246, 2249, 2261, 2277, 2283], "applied_func": 2219, "apply_along_axi": 2255, "apply_func": 2212, "apply_if_cal": [2185, 2197], "apply_index": [1395, 1400, 1413, 1414, 1415, 2207, 2271, 2289, 2298], "apply_integrate_f": 2193, "apply_integrate_f_numba": 2193, "apply_integrate_f_wrap": 2193, "apply_raw": 2194, "apply_series_gener": 2194, "apply_series_numba": 2194, "apply_standard": 2194, "applymap": [162, 1348, 2184, 2217, 2235, 2238, 2246, 2277, 2283, 2302], "applymap_index": [1396, 1414, 2289, 2302], "applymark": 2, "applytypeerror": 2221, "approach": [2, 4, 10, 15, 16, 17, 19, 21, 22, 28, 31, 1077, 1433, 2186, 2188, 2193, 2196, 2199, 2223, 2246, 2249, 2260], "appropri": [1, 2, 6, 10, 13, 79, 89, 97, 124, 125, 246, 251, 300, 301, 376, 377, 379, 532, 591, 601, 617, 620, 699, 700, 701, 884, 1068, 1076, 1123, 1124, 1152, 1167, 1211, 1224, 1388, 1433, 1493, 1494, 1495, 1496, 2186, 2188, 2199, 2201, 2210, 2217, 2218, 2224, 2225, 2226, 2228, 2232, 2235, 2238, 2241, 2242, 2265, 2283, 2294, 2298, 2302], "approv": 13, "approxim": [24, 192, 2193, 2197, 2201, 2210, 2222, 2238, 2299], "apr": 2210, "april": [247, 529, 880, 2199, 2210, 2213, 2246], "aqr": 34, "ar": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 39, 41, 42, 44, 46, 49, 50, 53, 54, 56, 58, 59, 60, 61, 62, 63, 65, 68, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 85, 86, 88, 91, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 111, 112, 114, 115, 116, 117, 118, 119, 121, 123, 126, 128, 132, 134, 135, 137, 139, 140, 141, 143, 146, 148, 149, 151, 152, 153, 158, 159, 160, 161, 162, 163, 167, 169, 172, 175, 176, 177, 178, 179, 182, 183, 184, 185, 187, 188, 189, 190, 191, 192, 193, 194, 195, 197, 200, 201, 202, 203, 205, 207, 208, 209, 212, 213, 214, 218, 219, 223, 224, 230, 233, 234, 238, 240, 241, 245, 249, 251, 253, 255, 256, 257, 258, 260, 261, 262, 263, 265, 267, 268, 269, 272, 273, 278, 279, 280, 281, 282, 284, 285, 286, 288, 296, 298, 303, 316, 318, 322, 331, 341, 342, 345, 346, 353, 356, 357, 362, 363, 364, 367, 368, 369, 371, 373, 375, 376, 378, 380, 381, 385, 386, 389, 396, 397, 401, 402, 406, 407, 413, 417, 420, 423, 429, 430, 432, 434, 435, 445, 449, 459, 462, 463, 464, 465, 467, 475, 478, 486, 489, 498, 500, 501, 510, 529, 532, 540, 551, 562, 573, 576, 577, 579, 580, 581, 582, 583, 584, 585, 586, 589, 591, 592, 596, 599, 600, 603, 605, 608, 611, 612, 613, 614, 615, 619, 620, 621, 622, 624, 625, 626, 627, 628, 629, 633, 636, 639, 652, 655, 670, 673, 677, 681, 686, 692, 693, 695, 696, 699, 702, 704, 705, 709, 711, 713, 717, 719, 720, 721, 722, 723, 724, 725, 726, 733, 738, 740, 741, 754, 755, 756, 757, 760, 761, 763, 764, 765, 766, 767, 768, 769, 770, 774, 775, 776, 778, 781, 782, 783, 787, 788, 789, 793, 798, 799, 804, 807, 808, 811, 815, 816, 821, 827, 828, 829, 831, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 849, 857, 862, 863, 866, 867, 868, 871, 873, 874, 879, 882, 884, 886, 888, 889, 891, 892, 893, 895, 896, 897, 900, 904, 905, 907, 911, 912, 913, 916, 923, 931, 932, 938, 940, 941, 943, 948, 953, 957, 970, 983, 997, 1007, 1014, 1031, 1032, 1040, 1041, 1043, 1044, 1050, 1051, 1058, 1059, 1061, 1063, 1064, 1065, 1068, 1076, 1078, 1094, 1097, 1101, 1103, 1110, 1115, 1117, 1118, 1119, 1120, 1123, 1124, 1125, 1128, 1129, 1130, 1131, 1138, 1141, 1142, 1143, 1145, 1146, 1148, 1149, 1150, 1152, 1155, 1156, 1158, 1164, 1168, 1169, 1173, 1174, 1175, 1177, 1178, 1179, 1181, 1182, 1189, 1191, 1192, 1193, 1196, 1199, 1200, 1202, 1203, 1204, 1205, 1207, 1208, 1209, 1211, 1213, 1215, 1221, 1225, 1226, 1230, 1234, 1235, 1236, 1237, 1238, 1240, 1241, 1242, 1243, 1250, 1252, 1253, 1254, 1257, 1260, 1261, 1263, 1264, 1267, 1269, 1270, 1275, 1276, 1281, 1290, 1291, 1295, 1300, 1302, 1304, 1305, 1310, 1311, 1312, 1313, 1318, 1319, 1320, 1321, 1322, 1327, 1328, 1329, 1330, 1335, 1336, 1337, 1342, 1343, 1344, 1345, 1350, 1365, 1373, 1382, 1385, 1387, 1388, 1389, 1390, 1391, 1392, 1393, 1394, 1395, 1397, 1398, 1400, 1402, 1403, 1404, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1415, 1416, 1418, 1420, 1421, 1423, 1424, 1430, 1431, 1432, 1433, 1435, 1436, 1441, 1442, 1443, 1444, 1445, 1446, 1447, 1448, 1449, 1450, 1452, 1453, 1454, 1458, 1459, 1460, 1462, 1463, 1467, 1468, 1469, 1470, 1471, 1472, 1473, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1482, 1485, 1486, 1487, 1488, 1490, 1493, 1494, 1495, 1496, 1498, 1499, 1500, 1741, 1793, 1815, 2163, 2166, 2167, 2168, 2169, 2171, 2172, 2173, 2178, 2179, 2180, 2181, 2183, 2184, 2187, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2196, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2231, 2232, 2235, 2236, 2238, 2239, 2240, 2242, 2244, 2246, 2247, 2248, 2250, 2251, 2252, 2257, 2260, 2261, 2263, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, 2310], "arang": [15, 100, 111, 163, 213, 279, 284, 345, 440, 633, 640, 682, 683, 741, 788, 912, 938, 1156, 1159, 1216, 1396, 1411, 1414, 1500, 2185, 2186, 2195, 2197, 2199, 2201, 2209, 2210, 2211, 2214, 2217, 2218, 2220, 2222, 2224, 2226, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2271, 2289], "arbitrari": [16, 19, 27, 34, 118, 120, 132, 135, 159, 161, 175, 228, 253, 337, 852, 874, 886, 1060, 1431, 1470, 2167, 2185, 2186, 2195, 2197, 2200, 2205, 2208, 2210, 2214, 2218, 2226, 2231, 2232, 2238, 2241, 2246, 2255, 2294, 2302], "arbitrarili": [107, 629, 1164, 1221, 1741, 2185, 2197, 2214, 2226], "arcco": [2193, 2228], "arccosh": [2193, 2228], "architectur": [2, 1095, 2225, 2241], "archiv": [251, 258, 265, 268, 272, 341, 884, 889, 895, 2199, 2242], "archive_nam": [251, 884], "arcsin": [2193, 2228], "arcsinh": [2193, 2228], "arctan": [2193, 2228], "arctan2": [2193, 2228], "arctanh": [2193, 2228], "are_all_object_dtype_col": 2246, "area": [13, 26, 34, 186, 203, 762, 1188, 1249, 2185, 2195, 2196, 2197, 2207, 2220, 2221, 2222, 2228, 2232, 2241, 2265], "aren": [2, 10, 17, 186, 762, 1188, 1249, 1342, 1388, 2206, 2214, 2222, 2241, 2283, 2307], "arg": [3, 5, 8, 16, 17, 18, 19, 50, 51, 52, 58, 59, 60, 61, 62, 72, 73, 77, 92, 103, 104, 105, 106, 183, 186, 219, 258, 273, 274, 287, 288, 291, 296, 314, 316, 318, 321, 326, 327, 345, 356, 357, 359, 360, 361, 406, 408, 461, 473, 475, 476, 562, 581, 582, 586, 587, 588, 605, 606, 607, 611, 612, 613, 614, 615, 616, 625, 626, 627, 628, 638, 639, 643, 652, 667, 670, 673, 677, 680, 683, 685, 686, 715, 716, 740, 761, 762, 794, 889, 900, 940, 943, 948, 951, 1044, 1148, 1149, 1152, 1162, 1163, 1168, 1187, 1192, 1193, 1203, 1207, 1208, 1211, 1219, 1220, 1225, 1231, 1232, 1248, 1253, 1254, 1264, 1269, 1270, 1276, 1281, 1282, 1283, 1284, 1285, 1287, 1288, 1289, 1290, 1292, 1294, 1295, 1296, 1297, 1304, 1305, 1321, 1322, 1327, 1415, 1433, 1451, 1482, 1483, 1484, 1498, 1499, 1500, 2184, 2186, 2192, 2194, 2199, 2202, 2205, 2208, 2210, 2212, 2219, 2220, 2222, 2224, 2230, 2232, 2235, 2241, 2246, 2249, 2255, 2269, 2272, 2278, 2283, 2287, 2289, 2294, 2295, 2298, 2307], "arg1": [1187, 1248, 1289, 1415, 2188, 2227], "arg2": [1187, 1248, 1289, 1415, 2188, 2227], "arg3": [1187, 1248, 1289, 1415, 2227], "argc": 2210, "argentina": [139, 140, 1174, 1175], "argmax": [139, 164, 360, 588, 715, 742, 1031, 1174, 1231, 2185, 2186, 2218, 2265, 2271, 2283, 2294, 2302], "argmin": [140, 170, 359, 587, 716, 746, 1031, 1175, 1232, 2186, 2218, 2265, 2271, 2283, 2294, 2302], "argsort": [68, 234, 420, 577, 799, 1031, 1042, 1061, 2186, 2219, 2294, 2298, 2302], "argu": 2260, "argument": [2, 3, 10, 15, 16, 17, 18, 19, 24, 26, 28, 29, 30, 37, 39, 72, 73, 77, 78, 82, 91, 97, 102, 120, 121, 122, 130, 131, 134, 137, 141, 143, 146, 155, 156, 160, 162, 164, 165, 166, 169, 170, 182, 183, 184, 187, 188, 189, 191, 192, 193, 194, 195, 196, 197, 200, 201, 203, 207, 209, 210, 212, 218, 225, 232, 233, 234, 242, 245, 247, 251, 252, 253, 256, 258, 259, 262, 263, 272, 273, 283, 285, 286, 322, 337, 341, 345, 359, 360, 406, 408, 427, 501, 502, 541, 562, 573, 581, 582, 586, 587, 588, 593, 620, 677, 696, 697, 709, 715, 716, 717, 719, 720, 730, 731, 738, 742, 743, 744, 746, 760, 761, 763, 764, 765, 767, 768, 769, 770, 771, 774, 775, 781, 784, 787, 789, 793, 794, 800, 806, 807, 808, 817, 857, 873, 879, 880, 884, 886, 888, 889, 890, 900, 910, 913, 932, 1032, 1041, 1059, 1068, 1076, 1117, 1118, 1142, 1146, 1148, 1149, 1152, 1154, 1158, 1167, 1173, 1187, 1192, 1193, 1194, 1198, 1203, 1207, 1208, 1211, 1224, 1231, 1232, 1248, 1253, 1254, 1255, 1259, 1264, 1269, 1270, 1280, 1289, 1304, 1305, 1321, 1322, 1338, 1339, 1340, 1341, 1343, 1345, 1369, 1394, 1403, 1404, 1407, 1411, 1415, 1421, 1423, 1431, 1432, 1433, 1441, 1442, 1446, 1449, 1450, 1453, 1458, 1459, 1460, 1464, 1465, 1466, 1468, 1469, 1470, 1472, 1474, 1475, 1478, 1482, 1483, 1484, 1486, 1488, 1494, 1498, 1499, 1500, 1741, 2184, 2185, 2186, 2188, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2207, 2208, 2209, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2236, 2237, 2238, 2246, 2248, 2249, 2251, 2253, 2254, 2255, 2256, 2257, 2260, 2261, 2264, 2267, 2272, 2273, 2275, 2278, 2279, 2281, 2283, 2284, 2285, 2289, 2290, 2293, 2294, 2295, 2296, 2302, 2307, 2308, 2309], "ari": 2191, "aris": [34, 278, 286, 331, 686, 904, 1014, 2186, 2192, 2194, 2197, 2212, 2214, 2232, 2241, 2261], "arithmet": [2, 11, 63, 69, 109, 129, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 1387, 2186, 2193, 2198, 2203, 2210, 2215, 2218, 2220, 2224, 2227, 2228, 2230, 2231, 2238, 2241, 2249, 2250, 2257, 2260, 2265, 2267, 2271, 2275, 2277, 2289, 2294, 2296, 2298, 2299, 2302], "aritra": 142, "arm64": 2, "arm_slow": 2, "arno": 2248, "around": [2, 3, 4, 15, 34, 146, 167, 193, 203, 219, 362, 590, 720, 768, 794, 845, 853, 861, 862, 866, 1141, 1280, 1345, 1391, 1433, 1445, 1482, 1488, 1490, 2185, 2188, 2191, 2193, 2197, 2199, 2202, 2210, 2211, 2218, 2220, 2222, 2225, 2226, 2230, 2232, 2238, 2246, 2249, 2283, 2307], "arr": [3, 110, 632, 1032, 1040, 1042, 1044, 1045, 1046, 1051, 1052, 1053, 1054, 1055, 1056, 1058, 1061, 1062, 1063, 1065, 1066, 1067, 1076, 1090, 1111, 1118, 1142, 1309, 1326, 2185, 2186, 2190, 2198, 2206, 2210, 2212, 2218, 2235, 2238, 2246, 2265, 2283, 2289, 2298, 2302], "arr1": [1033, 1045, 1050], "arr2": [1033, 1045, 1046, 1050, 1067, 2218], "arr_2d": [72, 73, 581, 582, 1269, 1270, 1304, 1321], "arr_or_dtyp": [1079, 1081, 1082, 1084, 1085, 1086, 1087, 1088, 1090, 1093, 1095, 1097, 1099, 1104, 1105, 1106, 1110, 1112, 1113, 1114, 1115, 2302], "arrai": [2, 3, 9, 12, 15, 31, 34, 39, 40, 42, 44, 49, 54, 63, 72, 73, 77, 80, 81, 82, 91, 92, 98, 110, 119, 121, 126, 130, 131, 134, 141, 142, 145, 153, 160, 163, 168, 169, 174, 185, 186, 187, 188, 189, 191, 194, 195, 196, 197, 202, 205, 207, 208, 212, 219, 223, 228, 229, 231, 236, 237, 238, 239, 249, 257, 258, 261, 266, 269, 271, 274, 278, 280, 282, 284, 285, 286, 289, 300, 301, 303, 304, 305, 306, 307, 308, 309, 310, 316, 321, 323, 324, 327, 329, 330, 331, 348, 354, 356, 357, 359, 360, 361, 363, 366, 367, 368, 373, 376, 378, 379, 380, 382, 389, 401, 402, 407, 413, 415, 416, 417, 419, 420, 427, 429, 430, 432, 434, 435, 437, 439, 449, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 473, 475, 476, 477, 478, 482, 485, 486, 487, 488, 489, 491, 492, 493, 502, 540, 541, 555, 573, 575, 581, 582, 586, 587, 588, 589, 592, 593, 603, 616, 621, 632, 634, 641, 655, 656, 657, 658, 659, 660, 661, 670, 678, 679, 681, 682, 684, 685, 686, 695, 696, 699, 702, 709, 717, 738, 741, 745, 762, 763, 764, 765, 767, 769, 770, 771, 776, 778, 779, 781, 782, 785, 786, 787, 789, 794, 798, 799, 807, 808, 809, 810, 811, 813, 814, 823, 827, 832, 850, 867, 882, 889, 891, 893, 899, 904, 905, 909, 911, 912, 913, 914, 918, 932, 937, 938, 945, 951, 1031, 1032, 1033, 1034, 1035, 1036, 1037, 1038, 1039, 1040, 1041, 1042, 1043, 1044, 1045, 1046, 1047, 1048, 1049, 1050, 1051, 1052, 1053, 1054, 1055, 1056, 1057, 1058, 1059, 1060, 1061, 1062, 1063, 1064, 1065, 1066, 1067, 1068, 1069, 1071, 1072, 1076, 1078, 1079, 1081, 1082, 1084, 1085, 1086, 1087, 1088, 1090, 1093, 1095, 1097, 1099, 1101, 1104, 1105, 1106, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1117, 1148, 1149, 1166, 1167, 1176, 1188, 1190, 1191, 1194, 1198, 1202, 1203, 1207, 1208, 1223, 1233, 1249, 1251, 1252, 1255, 1263, 1264, 1269, 1270, 1279, 1291, 1304, 1318, 1320, 1321, 1323, 1335, 1337, 1342, 1343, 1345, 1359, 1388, 1390, 1391, 1392, 1395, 1396, 1397, 1398, 1403, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1418, 1430, 1441, 1442, 1443, 1446, 1448, 1449, 1450, 1454, 1458, 1465, 1467, 1469, 1470, 1476, 1486, 1488, 1490, 1493, 1498, 1499, 1500, 1657, 1677, 1699, 1720, 2163, 2164, 2165, 2172, 2184, 2185, 2187, 2192, 2193, 2194, 2195, 2196, 2197, 2198, 2199, 2201, 2202, 2203, 2204, 2206, 2207, 2209, 2210, 2211, 2212, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2233, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2248, 2249, 2250, 2260, 2261, 2266, 2271, 2272, 2273, 2274, 2277, 2278, 2281, 2282, 2283, 2284, 2286, 2288, 2289, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2304, 2307, 2308, 2309], "arrang": [15, 1387, 2199, 2207, 2263], "array_equ": [119, 695, 2199], "array_equival": [2219, 2233], "array_split": 2224, "array_strptim": 2210, "arrayformatt": 2219, "arraylik": [213, 788, 2186, 2277], "arraymanag": 2307, "arrayobject": 2193, "arrow": [262, 1068, 2180, 2199, 2201, 2203, 2294, 2298, 2302, 2304, 2305, 2306], "arrow_parser_wrapp": [2203, 2298], "arrowdtyp": [97, 620, 735, 736, 737, 875, 876, 877, 1034, 1468, 1469, 1470, 1471, 1472, 1475, 1476, 1477, 1478, 1481, 1482, 1483, 1484, 1486, 1487, 1499, 2167, 2194, 2199, 2201, 2203, 2294, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2306, 2307, 2308], "arrowextensionarrai": [1034, 2167, 2203, 2295, 2298, 2299, 2300, 2302], "arrowinvalid": [2298, 2302], "arrowioerror": 2271, "arrowparserwrapp": [2203, 2298], "arrowstringarrai": [1118, 2302], "art": 13, "arthropod": 172, "articl": [1, 1463, 2199, 2294], "artifact": [4, 8, 2207, 2283, 2302], "artist": [2211, 2232], "as_block": [2218, 2228, 2238, 2265], "as_cmap": 2207, "as_index": [134, 709, 1172, 1197, 1201, 1204, 1229, 1258, 1262, 1293, 2195, 2218, 2220, 2223, 2231, 2232, 2235, 2246, 2283, 2289, 2297, 2298, 2299, 2302], "as_json": 1491, "as_matrix": [2218, 2222, 2241, 2265], "as_ord": [55, 604, 2188, 2225, 2294, 2298], "as_recarrai": [2214, 2232, 2241], "as_typ": 2, "as_unit": [2210, 2298], "as_unord": [604, 2188, 2225, 2294, 2298], "asap": 2261, "asarrai": [40, 261, 575, 893, 2167, 2186, 2188, 2191, 2199, 2206, 2235, 2246, 2249, 2261, 2265, 2271, 2278, 2298], "asarray_tuplesaf": 2298, "asc": 2218, "ascend": [15, 18, 29, 176, 179, 205, 233, 234, 281, 420, 427, 436, 502, 754, 757, 778, 799, 807, 808, 908, 1044, 1061, 1159, 1182, 1191, 1204, 1216, 1241, 1242, 1243, 1252, 1266, 1315, 1332, 2184, 2186, 2195, 2197, 2199, 2218, 2220, 2230, 2238, 2241, 2259, 2264, 2277, 2280, 2289, 2302, 2307], "ascending_idx": 375, "ascii": [19, 203, 258, 825, 826, 889, 1403, 2199, 2221, 2230, 2232, 2235, 2238, 2246, 2257, 2265], "ascii_lowercas": [3, 15], "asd": [2210, 2228], "asdf": 1475, "asfreq": [125, 213, 701, 788, 1275, 1280, 2210, 2226, 2230, 2231, 2235, 2238, 2241, 2246, 2283, 2302, 2307, 2308], "asi8": [2210, 2277, 2298], "asia": [277, 316, 670, 903, 956, 1013, 1145, 1344, 2232, 2235], "asian": [1345, 1391, 1488, 1490, 2202], "asid": 22, "ask": [0, 1, 7, 13, 24, 144, 168, 1447, 2196, 2197, 2200, 2210, 2232, 2234, 2246, 2257, 2302], "asobject": [2221, 2241, 2265], "asof": [84, 300, 363, 595, 1447, 2210, 2222, 2225, 2233, 2235, 2246, 2261, 2271, 2294], "aspect": [3, 2211], "assembl": 1498, "assert": [2, 10, 13, 16, 17, 18, 19, 257, 1493, 1494, 1495, 1496, 2172, 2185, 2186, 2193, 2210, 2220, 2235, 2265, 2283, 2302], "assert_": 2297, "assert_extension_array_equ": [2283, 2298, 2307], "assert_frame_equ": [2, 119, 695, 2235, 2241, 2272, 2278, 2279, 2283, 2290, 2295, 2298, 2302, 2307], "assert_index_equ": [1494, 2235, 2242, 2277, 2278, 2283, 2292, 2294, 2295, 2298], "assert_produces_warn": 2, "assert_raises_regex": 2265, "assert_series_equ": [2, 119, 695, 1494, 2235, 2241, 2265, 2272, 2277, 2278, 2279, 2283, 2294, 2297, 2298, 2299, 2302, 2307, 2308], "assertionerror": [119, 212, 695, 787, 1494, 2199, 2220, 2241, 2242, 2243, 2246, 2249, 2266, 2267, 2270, 2271, 2273, 2275, 2277, 2279, 2286, 2287, 2289, 2294, 2295, 2303, 2308], "assess": [2211, 2229], "asset_id": 2220, "assign": [1, 13, 15, 16, 17, 18, 19, 25, 27, 39, 41, 53, 92, 96, 120, 142, 184, 188, 205, 207, 218, 223, 226, 306, 307, 608, 616, 658, 659, 764, 778, 781, 793, 798, 801, 927, 930, 1191, 1192, 1252, 1253, 1343, 1345, 1350, 1382, 1387, 1389, 1391, 1403, 1404, 1424, 1432, 1453, 1461, 1463, 1475, 1487, 1488, 1490, 1498, 2184, 2185, 2186, 2188, 2193, 2196, 2199, 2200, 2201, 2202, 2204, 2210, 2214, 2217, 2218, 2219, 2220, 2221, 2222, 2224, 2226, 2227, 2228, 2231, 2235, 2239, 2246, 2249, 2250, 2257, 2264, 2265, 2266, 2277, 2280, 2283, 2289, 2293, 2294, 2298, 2300, 2302], "assigne": 1, "assist": [2, 2238], "associ": [10, 13, 131, 342, 502, 573, 705, 894, 918, 1017, 1119, 1432, 1438, 1439, 1485, 2200, 2203, 2210, 2217, 2218, 2231, 2241, 2246], "assum": [3, 5, 8, 9, 10, 12, 13, 16, 17, 18, 19, 23, 27, 36, 39, 80, 102, 130, 144, 251, 253, 257, 259, 269, 276, 292, 294, 332, 362, 425, 592, 617, 644, 646, 688, 823, 836, 837, 838, 839, 840, 841, 842, 843, 844, 857, 866, 884, 886, 890, 893, 902, 1061, 1158, 1403, 1404, 1431, 1443, 1475, 2166, 2186, 2188, 2193, 2197, 2199, 2209, 2210, 2211, 2212, 2227, 2235, 2238, 2271], "assumpt": [1031, 2212], "astimezon": 1013, "astronomi": 2220, "astrseri": [428, 818], "astuff": 2201, "astyp": [2, 3, 10, 15, 46, 90, 168, 384, 392, 399, 400, 586, 602, 604, 815, 909, 911, 1031, 1064, 1070, 1078, 1148, 1149, 1152, 1203, 1207, 1208, 1264, 1359, 1498, 1499, 1500, 2167, 2184, 2185, 2188, 2194, 2195, 2198, 2199, 2201, 2205, 2206, 2208, 2209, 2210, 2212, 2216, 2217, 2218, 2220, 2221, 2222, 2223, 2225, 2226, 2228, 2229, 2231, 2232, 2235, 2237, 2238, 2239, 2246, 2249, 2261, 2265, 2267, 2271, 2273, 2274, 2275, 2277, 2279, 2282, 2283, 2284, 2289, 2294, 2302, 2307, 2308], "astype_arrai": 2298, "astype_array_saf": 2298, "astype_nansaf": 2294, "asv": [2, 13], "asv_bench": 2, "asymmetr": [2211, 2271], "asyncio": 2298, "at_tim": [88, 127, 157, 300, 600, 703, 732, 2246, 2249, 2261, 2264], "atm": 2220, "atol": [1493, 1494, 1495, 1496], "atom": 2185, "attach": [983, 1394, 1423, 2207, 2211, 2226, 2229, 2246, 2302], "attempt": [77, 97, 131, 143, 278, 286, 288, 296, 318, 331, 354, 365, 367, 429, 481, 620, 639, 652, 673, 686, 719, 904, 940, 943, 948, 1031, 1118, 1148, 1149, 1152, 1177, 1192, 1203, 1207, 1208, 1211, 1236, 1253, 1264, 1281, 1347, 1362, 1385, 1459, 1469, 1475, 1477, 1478, 1482, 1483, 1484, 1486, 1498, 2184, 2185, 2191, 2195, 2199, 2200, 2210, 2217, 2218, 2219, 2221, 2222, 2231, 2232, 2241, 2246, 2249, 2250, 2265, 2271, 2273, 2275, 2277, 2287, 2289, 2294, 2295, 2297, 2298, 2302], "attend": [0, 13], "attende": 0, "attent": [3, 10, 2197, 2205, 2207, 2214, 2216], "attr": [15, 227, 705, 802, 1394, 1423, 1475, 1487, 2169, 2180, 2192, 2199, 2203, 2241, 2265, 2277, 2289, 2298, 2302, 2307], "attr_col": [272, 2199], "attribut": [4, 9, 10, 15, 24, 25, 31, 37, 38, 39, 46, 49, 63, 85, 107, 142, 153, 203, 210, 230, 249, 257, 266, 267, 272, 280, 286, 334, 337, 341, 342, 343, 344, 354, 386, 423, 441, 442, 443, 444, 445, 457, 459, 478, 487, 494, 509, 510, 514, 516, 532, 538, 540, 568, 573, 596, 629, 783, 784, 804, 882, 896, 914, 915, 916, 927, 930, 938, 953, 1027, 1028, 1029, 1030, 1031, 1068, 1069, 1071, 1072, 1078, 1081, 1090, 1091, 1117, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1140, 1141, 1142, 1143, 1144, 1164, 1168, 1202, 1203, 1221, 1263, 1264, 1342, 1345, 1347, 1374, 1387, 1391, 1394, 1395, 1396, 1402, 1403, 1404, 1405, 1413, 1414, 1420, 1421, 1422, 1424, 1432, 1433, 1435, 1436, 1475, 1487, 1488, 1490, 1494, 1495, 1496, 1506, 1524, 1542, 1560, 1578, 1598, 1620, 1637, 1657, 1677, 1699, 1720, 1741, 1758, 1776, 1793, 1815, 1839, 1857, 1876, 1894, 1912, 1930, 1947, 1964, 1982, 2000, 2018, 2036, 2054, 2072, 2090, 2108, 2127, 2145, 2167, 2172, 2184, 2185, 2192, 2193, 2196, 2199, 2202, 2203, 2204, 2206, 2208, 2210, 2211, 2214, 2216, 2217, 2218, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2235, 2236, 2238, 2239, 2241, 2242, 2246, 2249, 2251, 2253, 2254, 2257, 2259, 2263, 2265, 2271, 2273, 2277, 2278, 2280, 2283, 2289, 2292, 2293, 2295, 2297, 2298, 2302, 2307], "attribute2": [1395, 1396, 1413, 1414], "attributeconflictwarn": [2217, 2294], "attributeerror": [10, 15, 845, 1069, 1071, 1072, 2203, 2220, 2221, 2222, 2225, 2226, 2227, 2228, 2230, 2231, 2232, 2233, 2235, 2238, 2239, 2241, 2246, 2247, 2249, 2250, 2265, 2266, 2269, 2271, 2274, 2275, 2276, 2278, 2279, 2281, 2283, 2286, 2289, 2290, 2294, 2295, 2298, 2301, 2302, 2307, 2308], "attrs_onli": [1487, 2199], "audienc": 2207, "audit": [16, 17, 18, 19, 2199, 2222, 2235], "aug": [1699, 1720, 2210, 2213], "augment": [2225, 2231, 2277], "augspurg": [35, 2247, 2248], "august": [586, 2210, 2213], "ausmubr01": 2191, "auth": [255, 1473, 2199, 2246], "auth_local_webserv": [255, 1473, 2294], "authent": [255, 1473, 2230], "author": [13, 1040, 1052, 2168, 2199, 2261, 2307], "authorized_kei": 13, "authus": 2218, "auto": [2, 4, 263, 622, 983, 1213, 1345, 1391, 1478, 1488, 1490, 2199, 2202, 2222, 2225, 2265, 2283], "auto_clos": [352, 2199, 2227], "auto_mkdir": 2199, "auto_open": [16, 17, 18, 19, 2199, 2235], "autocorrel": [597, 1456, 2225], "autocorrelation_plot": [2172, 2211], "autodataformatt": 2232, "autodetect": [302, 944], "autofmt_xd": 2211, "autoindex": 2199, "autom": [2, 6, 13, 2232, 2235, 2241], "automag": [2199, 2215], "automat": [1, 2, 3, 4, 5, 8, 10, 13, 17, 19, 34, 102, 186, 191, 194, 253, 352, 573, 622, 762, 767, 769, 886, 1158, 1188, 1213, 1249, 1344, 1393, 1394, 1420, 1421, 1431, 1459, 1464, 1469, 1470, 1482, 1486, 1497, 2184, 2185, 2186, 2188, 2191, 2193, 2197, 2202, 2207, 2208, 2210, 2212, 2215, 2216, 2217, 2218, 2219, 2220, 2222, 2224, 2228, 2230, 2232, 2239, 2241, 2246, 2265, 2277, 2289, 2298, 2302], "autopct": 2211, "autosummari": 4, "avail": [0, 1, 2, 4, 5, 10, 13, 14, 16, 17, 18, 19, 21, 22, 24, 26, 27, 28, 29, 30, 31, 32, 34, 36, 99, 255, 256, 268, 292, 294, 303, 304, 305, 306, 307, 308, 309, 316, 332, 345, 376, 644, 646, 655, 656, 657, 658, 659, 660, 661, 670, 683, 688, 699, 705, 824, 853, 861, 888, 916, 931, 1007, 1031, 1119, 1120, 1123, 1124, 1143, 1148, 1149, 1155, 1178, 1181, 1183, 1200, 1203, 1207, 1208, 1237, 1240, 1244, 1261, 1264, 1275, 1305, 1322, 1345, 1387, 1388, 1391, 1416, 1432, 1434, 1463, 1470, 1473, 1476, 1482, 1488, 1490, 2167, 2173, 2180, 2186, 2191, 2194, 2196, 2197, 2199, 2201, 2203, 2204, 2206, 2207, 2208, 2210, 2211, 2212, 2218, 2220, 2222, 2223, 2224, 2225, 2226, 2228, 2229, 2230, 2235, 2239, 2240, 2241, 2249, 2265, 2271, 2277, 2283, 2289, 2291, 2294, 2298, 2307, 2308], "averag": [15, 17, 28, 31, 121, 205, 310, 696, 778, 945, 1191, 1252, 1269, 1270, 1315, 1332, 1400, 2190, 2192, 2195, 2207, 2212, 2218, 2230, 2289], "average_rank": [1191, 1252], "average_weight": [2195, 2249], "avg": [15, 18, 2218], "avg_saturday_rid": 2199, "avg_sunday_holiday_rid": 2199, "avg_weekday_rid": 2199, "avoid": [2, 3, 5, 7, 10, 66, 98, 162, 165, 166, 169, 207, 214, 225, 232, 621, 740, 743, 744, 781, 800, 806, 1119, 1203, 1264, 1374, 1394, 1446, 1470, 1741, 2185, 2186, 2191, 2192, 2193, 2195, 2196, 2197, 2198, 2199, 2201, 2204, 2207, 2217, 2219, 2220, 2222, 2227, 2230, 2235, 2238, 2239, 2240, 2250, 2257, 2271, 2277, 2278, 2283, 2289, 2294, 2295, 2298, 2307, 2309], "aw": [22, 2199, 2228, 2298], "awai": [6, 13, 2186, 2199, 2219, 2307], "awar": [0, 2, 7, 82, 186, 267, 277, 278, 330, 331, 334, 575, 593, 685, 686, 762, 893, 896, 903, 904, 909, 956, 1013, 1014, 1018, 1118, 1122, 1188, 1249, 1344, 1415, 1498, 2167, 2184, 2186, 2188, 2191, 2199, 2200, 2207, 2210, 2219, 2220, 2221, 2222, 2230, 2231, 2234, 2235, 2238, 2239, 2241, 2242, 2243, 2247, 2248, 2249, 2250, 2261, 2265, 2266, 2267, 2273, 2277, 2278, 2283, 2288, 2289, 2290, 2294, 2295, 2298, 2300, 2302, 2307], "awesom": 2199, "awesome_table_class": 2199, "aws_s3_host": [2199, 2230], "ax": [3, 26, 29, 30, 31, 34, 63, 74, 75, 76, 91, 100, 117, 137, 141, 148, 149, 155, 156, 164, 165, 166, 170, 174, 177, 178, 184, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 200, 201, 208, 225, 232, 240, 242, 245, 246, 256, 282, 283, 346, 583, 584, 585, 693, 713, 717, 725, 726, 730, 731, 742, 743, 744, 746, 755, 756, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 774, 775, 782, 800, 806, 816, 817, 865, 879, 888, 910, 1146, 1154, 1156, 1173, 1188, 1198, 1230, 1249, 1402, 1419, 1453, 1455, 1456, 1457, 1458, 1460, 1461, 1463, 1465, 1466, 1469, 1472, 1476, 1484, 1486, 2169, 2180, 2185, 2186, 2191, 2192, 2193, 2195, 2197, 2199, 2200, 2201, 2207, 2218, 2219, 2220, 2221, 2222, 2224, 2225, 2226, 2227, 2228, 2229, 2232, 2234, 2235, 2238, 2241, 2243, 2246, 2255, 2257, 2263, 2265, 2271, 2277, 2283, 2298, 2302, 2307], "ax1": 197, "ax2": 197, "axc": 865, "axd": [865, 2225], "axessubplot": [3, 137, 192, 193, 713, 768, 1173, 1230], "axhlin": [2211, 2225], "axi": [2, 3, 12, 15, 16, 17, 19, 30, 34, 65, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 84, 86, 87, 88, 89, 91, 92, 94, 96, 100, 101, 103, 104, 105, 106, 108, 109, 111, 112, 113, 114, 117, 118, 121, 122, 124, 125, 126, 129, 132, 134, 135, 137, 139, 140, 141, 146, 154, 155, 156, 159, 160, 161, 162, 163, 164, 165, 166, 167, 170, 171, 172, 173, 175, 180, 181, 182, 183, 186, 187, 188, 189, 199, 200, 201, 202, 204, 205, 206, 207, 208, 209, 210, 211, 213, 215, 216, 217, 218, 220, 221, 222, 223, 225, 226, 230, 232, 233, 234, 240, 241, 242, 244, 245, 247, 249, 264, 270, 273, 275, 276, 277, 278, 283, 284, 285, 310, 321, 345, 354, 356, 357, 359, 360, 368, 406, 408, 419, 420, 430, 503, 573, 578, 579, 580, 581, 582, 583, 584, 585, 587, 588, 589, 595, 598, 600, 601, 616, 619, 625, 626, 627, 628, 631, 633, 634, 635, 636, 693, 694, 696, 697, 700, 701, 702, 706, 707, 709, 710, 713, 715, 716, 717, 718, 720, 730, 731, 734, 738, 739, 741, 742, 743, 744, 746, 747, 749, 753, 759, 760, 761, 762, 763, 764, 765, 773, 774, 775, 777, 778, 780, 781, 782, 783, 784, 786, 788, 790, 791, 792, 793, 795, 796, 797, 798, 799, 800, 801, 804, 806, 807, 808, 816, 817, 878, 879, 882, 900, 901, 902, 903, 904, 910, 912, 913, 945, 1040, 1041, 1052, 1054, 1060, 1063, 1064, 1146, 1148, 1149, 1154, 1156, 1160, 1161, 1162, 1163, 1165, 1167, 1173, 1174, 1175, 1186, 1188, 1191, 1193, 1196, 1198, 1202, 1203, 1207, 1208, 1217, 1218, 1219, 1220, 1222, 1224, 1230, 1231, 1232, 1247, 1249, 1252, 1254, 1257, 1259, 1263, 1264, 1269, 1270, 1280, 1304, 1321, 1343, 1395, 1396, 1397, 1398, 1400, 1402, 1404, 1406, 1407, 1408, 1409, 1411, 1414, 1415, 1416, 1419, 1421, 1422, 1430, 1433, 1435, 1445, 1456, 1458, 1460, 1461, 1465, 1466, 2184, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2201, 2204, 2205, 2207, 2208, 2209, 2210, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2235, 2239, 2241, 2242, 2243, 2246, 2247, 2248, 2249, 2250, 2256, 2257, 2258, 2259, 2262, 2264, 2265, 2269, 2271, 2272, 2277, 2278, 2283, 2284, 2285, 2287, 2289, 2290, 2291, 2292, 2294, 2295, 2298, 2302, 2303, 2307, 2308], "axis0": [348, 2199], "axis1": [246, 348, 2199], "axis2": 246, "axisint": 2185, "axvlin": [1461, 2224, 2225], "axvlines_kwd": [1461, 2229], "ayd": [8, 2248], "azur": 2271, "b": [1, 2, 3, 10, 13, 15, 16, 17, 18, 19, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 66, 67, 68, 69, 70, 71, 72, 73, 74, 76, 77, 80, 83, 85, 89, 91, 93, 94, 95, 96, 97, 98, 99, 100, 102, 103, 104, 105, 106, 107, 108, 109, 111, 113, 118, 120, 121, 122, 123, 124, 125, 128, 129, 130, 131, 132, 134, 135, 138, 141, 144, 146, 153, 154, 155, 156, 158, 159, 160, 161, 163, 165, 166, 167, 169, 171, 173, 174, 175, 180, 184, 185, 186, 188, 189, 195, 199, 202, 203, 204, 205, 206, 209, 212, 215, 216, 217, 218, 220, 221, 222, 224, 225, 226, 231, 232, 233, 234, 235, 240, 244, 247, 250, 251, 253, 255, 256, 258, 261, 262, 266, 267, 273, 275, 276, 279, 280, 284, 322, 339, 346, 347, 348, 349, 350, 351, 352, 353, 354, 361, 365, 366, 368, 376, 378, 380, 381, 382, 383, 385, 386, 388, 405, 406, 408, 416, 418, 419, 425, 426, 430, 434, 465, 479, 481, 486, 489, 490, 491, 492, 493, 494, 495, 497, 498, 501, 503, 504, 505, 506, 532, 562, 573, 577, 578, 579, 580, 583, 585, 590, 592, 594, 596, 601, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 619, 620, 621, 622, 625, 626, 627, 628, 629, 631, 633, 635, 677, 694, 696, 697, 699, 700, 701, 704, 706, 707, 709, 710, 713, 714, 715, 716, 717, 720, 728, 730, 731, 733, 734, 738, 739, 741, 743, 744, 745, 747, 749, 753, 762, 764, 765, 770, 773, 777, 778, 780, 786, 787, 789, 790, 791, 792, 793, 795, 796, 797, 800, 801, 806, 807, 808, 815, 816, 821, 824, 825, 826, 828, 829, 831, 833, 834, 836, 837, 838, 839, 840, 841, 842, 843, 844, 856, 867, 878, 880, 883, 884, 886, 887, 888, 889, 893, 896, 900, 901, 902, 905, 906, 907, 909, 912, 1060, 1069, 1071, 1072, 1074, 1077, 1078, 1081, 1084, 1085, 1087, 1090, 1093, 1095, 1097, 1104, 1110, 1112, 1115, 1117, 1118, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1176, 1177, 1178, 1179, 1180, 1181, 1183, 1184, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1199, 1200, 1201, 1203, 1205, 1206, 1209, 1210, 1211, 1212, 1213, 1214, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1225, 1226, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1236, 1237, 1238, 1239, 1240, 1244, 1245, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1260, 1261, 1262, 1267, 1268, 1272, 1273, 1275, 1276, 1277, 1278, 1279, 1281, 1284, 1287, 1289, 1292, 1293, 1304, 1305, 1306, 1307, 1308, 1310, 1311, 1312, 1313, 1314, 1317, 1319, 1321, 1336, 1342, 1343, 1345, 1347, 1352, 1354, 1355, 1358, 1365, 1369, 1372, 1373, 1374, 1382, 1385, 1387, 1388, 1389, 1390, 1391, 1394, 1395, 1396, 1398, 1399, 1403, 1404, 1406, 1408, 1409, 1410, 1413, 1414, 1415, 1416, 1417, 1419, 1421, 1422, 1424, 1431, 1432, 1433, 1434, 1436, 1445, 1446, 1447, 1448, 1453, 1454, 1458, 1462, 1465, 1466, 1468, 1469, 1470, 1476, 1482, 1483, 1486, 1487, 1488, 1490, 1493, 1494, 1495, 1496, 1578, 1657, 1677, 1699, 1720, 2163, 2166, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2222, 2223, 2224, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2240, 2241, 2243, 2246, 2249, 2257, 2260, 2264, 2265, 2271, 2277, 2278, 2283, 2289, 2294, 2298, 2302, 2304, 2307], "b0": [153, 440, 2185, 2200, 2220, 2241, 2246], "b1": [153, 440, 829, 2185, 2200, 2208, 2220, 2226, 2230, 2232, 2241, 2246, 2248], "b10": 2200, "b11": 2200, "b1970": [2166, 2204, 2218], "b1980": [2166, 2204, 2218], "b2": [17, 153, 440, 828, 2200, 2208, 2218, 2226, 2230, 2241, 2246], "b22": [2208, 2230], "b241b64bb471": 2186, "b27eb9c1dfc0": 2184, "b3": [440, 2200, 2208, 2241], "b4": 2200, "b42": 24, "b5": 2200, "b6": 2200, "b7": 2200, "b77": 32, "b8": 2200, "b9": 2200, "b921d1a": 2220, "b_": 2207, "b_a": 2204, "b_b": [2204, 2222], "b_c": [2204, 2208, 2222], "b_col": [71, 580], "b_min": [1148, 1149], "b_sum": 2195, "ba": [212, 213, 787, 788, 857, 2185, 2202, 2208, 2235, 2249, 2307], "baabc": [905, 2163, 2235], "babc": 2188, "bac": 2232, "baca": [824, 2184, 2186, 2208], "back": [10, 16, 97, 207, 263, 267, 504, 575, 590, 620, 781, 896, 905, 1031, 1064, 1069, 1071, 1072, 1118, 1119, 1120, 1143, 1148, 1149, 1152, 1203, 1207, 1208, 1211, 1264, 1343, 1374, 1387, 1390, 1394, 1459, 1468, 1469, 1470, 1471, 1472, 1475, 1476, 1477, 1478, 1481, 1482, 1483, 1484, 1486, 1487, 1499, 1741, 2166, 2167, 2185, 2186, 2188, 2190, 2191, 2192, 2194, 2195, 2197, 2199, 2203, 2204, 2206, 2208, 2210, 2212, 2217, 2218, 2220, 2221, 2228, 2230, 2231, 2232, 2233, 2235, 2238, 2239, 2241, 2242, 2246, 2248, 2249, 2257, 2265, 2266, 2277, 2289, 2295, 2300, 2302, 2303, 2304, 2305, 2306, 2310], "backend": [5, 11, 91, 120, 137, 186, 203, 263, 713, 762, 1154, 1173, 1188, 1230, 1249, 1345, 1387, 1391, 1488, 1490, 2196, 2199, 2202, 2217, 2218, 2246, 2249, 2250, 2265, 2307], "backfil": [74, 79, 125, 146, 182, 207, 208, 378, 417, 465, 489, 583, 591, 701, 720, 760, 781, 782, 1040, 1052, 1272, 1275, 1280, 1286, 2186, 2225, 2230, 2241, 2249, 2271, 2277, 2283, 2289, 2298, 2302, 2304], "background": [13, 36, 1348, 1396, 1397, 1398, 1407, 1408, 1409, 1410, 1411, 1414, 1415, 1418, 1421, 1423, 1430, 1433, 2199, 2211, 2240, 2246, 2283, 2294], "background_gradi": [1430, 1433, 2207, 2229, 2246, 2265, 2283, 2298], "backlink": 6, "backport": 11, "backslash": [2199, 2201, 2300], "backtick": [3, 203, 2249, 2265, 2289], "backward": [11, 74, 77, 89, 124, 125, 146, 207, 212, 278, 286, 288, 296, 318, 331, 583, 586, 601, 639, 652, 673, 686, 700, 701, 720, 781, 787, 904, 940, 943, 948, 957, 970, 997, 1014, 1040, 1041, 1052, 1063, 1153, 1166, 1167, 1212, 1223, 1224, 1272, 1275, 1280, 1286, 1370, 1447, 1475, 1479, 1482, 2186, 2198, 2199, 2201, 2208, 2213, 2214, 2220, 2257, 2278, 2307], "bad": [3, 13, 1343, 1353, 1467, 1469, 1486, 2184, 2188, 2219, 2222, 2223, 2238, 2283, 2289], "bad_lin": [1469, 1486], "bad_lines_func": 2199, "badli": 2246, "bah": [2185, 2199, 2214, 2219, 2220], "bait": [212, 787], "balanc": [1463, 2199, 2239], "ballin": 2248, "ban": 2302, "banana": [2186, 2202], "band": [255, 1456, 1473, 2211, 2294], "bandwidth": [191, 194, 767, 769, 2218], "bank": [2199, 2223], "banterra": 2199, "bao": 857, "bar": [3, 6, 21, 26, 31, 77, 169, 184, 185, 186, 189, 212, 255, 265, 341, 440, 500, 501, 504, 762, 765, 787, 789, 807, 846, 854, 855, 857, 866, 895, 1078, 1168, 1188, 1203, 1225, 1249, 1342, 1373, 1443, 1446, 1453, 1454, 1469, 1473, 1478, 1479, 1486, 2184, 2185, 2186, 2188, 2190, 2191, 2195, 2197, 2199, 2202, 2204, 2208, 2214, 2215, 2218, 2219, 2220, 2221, 2222, 2225, 2226, 2227, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2255, 2260, 2263, 2265, 2271, 2277, 2278, 2289, 2294, 2298, 2307], "bar_str": [854, 855, 2208], "barbarbar": 2195, "barboursvil": 2199, "bare": [2, 2199, 2222, 2241, 2277], "barf": 2217, "barh": [26, 186, 188, 762, 764, 1188, 1249, 2211, 2220, 2221, 2228, 2260, 2294], "bark": 1365, "barplot": 2222, "barycentr": [146, 720, 1280, 2201, 2218], "base": [1, 3, 4, 5, 10, 11, 13, 16, 17, 18, 19, 20, 21, 22, 23, 25, 31, 32, 34, 49, 65, 83, 84, 88, 107, 111, 112, 121, 127, 136, 137, 138, 141, 142, 144, 147, 157, 160, 184, 187, 212, 213, 218, 224, 240, 248, 253, 276, 278, 279, 285, 286, 288, 296, 318, 328, 331, 345, 352, 415, 433, 445, 459, 478, 540, 568, 573, 594, 595, 600, 629, 633, 639, 652, 673, 686, 696, 703, 712, 714, 717, 718, 732, 738, 754, 757, 763, 787, 788, 793, 816, 823, 836, 837, 838, 839, 840, 841, 842, 843, 844, 881, 886, 902, 904, 905, 913, 938, 940, 943, 948, 952, 1031, 1040, 1052, 1068, 1073, 1075, 1119, 1125, 1141, 1148, 1149, 1164, 1173, 1193, 1207, 1208, 1221, 1242, 1243, 1254, 1265, 1269, 1270, 1286, 1342, 1343, 1398, 1423, 1431, 1444, 1453, 1467, 1470, 1474, 1475, 1498, 1519, 1537, 1556, 1574, 1593, 1614, 1633, 1650, 1672, 1693, 1715, 1736, 1754, 1772, 1789, 1808, 1830, 1853, 1870, 1890, 1908, 1926, 1943, 1960, 1978, 1995, 2013, 2032, 2050, 2068, 2086, 2103, 2121, 2141, 2159, 2163, 2166, 2183, 2184, 2185, 2187, 2188, 2191, 2192, 2193, 2194, 2195, 2196, 2199, 2200, 2201, 2203, 2207, 2208, 2210, 2211, 2212, 2213, 2214, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2226, 2228, 2229, 2230, 2231, 2232, 2235, 2236, 2238, 2240, 2241, 2246, 2249, 2253, 2255, 2261, 2264, 2265, 2274, 2277, 2283, 2291, 2298, 2302], "base_dtyp": 2199, "base_pars": 2199, "base_typ": [2194, 2201, 2203, 2294, 2302, 2307], "basebal": [15, 2186, 2191, 2197, 2227, 2231], "baseblockmanag": [2197, 2199, 2298], "basebooleanreducetest": 2307, "basebuff": [16, 17, 18, 19, 2199, 2235], "baseconstructorstest": 10, "baseindex": [218, 793, 1193, 1254, 2212, 2265, 2271, 2272, 2277, 2289], "basenoreducetest": 2307, "basenumericreducetest": 2307, "baseoffset": [511, 526, 1502], "basereducetest": 2307, "basetzinfo": [329, 684], "bash": [2, 13], "basi": [146, 720, 1280, 2200, 2208, 2226, 2277], "basic": [3, 21, 23, 25, 35, 187, 188, 189, 354, 763, 764, 765, 1396, 1407, 1414, 1416, 1423, 1457, 2188, 2191, 2196, 2201, 2220, 2221, 2224, 2238, 2246, 2283], "bat": [5, 15, 212, 285, 787, 827, 867, 913, 2199], "batch": [267, 896, 2188, 2199], "batman": [114, 148, 149, 177, 178, 725, 726, 755, 756], "batmobil": [114, 148, 149, 177, 178, 725, 726, 755, 756], "baz": [169, 184, 504, 789, 807, 857, 866, 1373, 1446, 1453, 1469, 1486, 2184, 2185, 2186, 2195, 2197, 2199, 2204, 2208, 2215, 2222, 2228, 2235, 2238, 2241, 2263], "bb": [503, 821, 856, 2186, 2191, 2197, 2208, 2211, 2226, 2227, 2231, 2235, 2241], "bbacab": 2204, "bbb": [17, 341, 1469, 1486, 2208, 2218], "bbbd": 2208, "bbd": 2208, "bbeebbaa": 2188, "bbi": [126, 702], "bc": [30, 1006, 1498, 2185, 2197, 2220, 2232], "bccd": [2188, 2241], "bcd": 2225, "bcde": 2235, "bdai": [182, 760, 1075, 1741, 2210, 2212, 2215, 2302], "bdate_rang": [2210, 2238, 2261, 2289, 2298], "bday_egypt": [2210, 2217], "bday_u": 2210, "bdc": [1657, 1677, 1699, 1720], "bdfl": [34, 35], "beach": [1443, 2199], "beagl": 1265, "bear": [3, 150, 325, 328, 355, 411, 412, 424, 431, 433, 574, 751, 752, 805, 827, 867, 950, 952], "bearer": 2199, "beat": [2185, 2260], "beauti": [1475, 2249], "beautifulsoup": [2216, 2217], "beautifulsoup4": [22, 2199, 2217, 2241, 2249, 2265, 2271, 2277, 2283, 2289, 2294, 2302, 2307], "becam": [31, 2283], "becaus": [2, 4, 5, 18, 75, 76, 80, 102, 146, 151, 172, 192, 203, 207, 249, 276, 356, 357, 490, 584, 585, 592, 617, 720, 781, 882, 902, 1059, 1103, 1117, 1118, 1152, 1158, 1202, 1211, 1342, 1345, 1348, 1354, 1360, 1391, 1416, 1469, 1475, 1476, 1486, 1488, 1490, 2185, 2186, 2187, 2188, 2190, 2193, 2194, 2195, 2197, 2198, 2199, 2202, 2207, 2208, 2210, 2212, 2217, 2218, 2220, 2222, 2223, 2226, 2228, 2230, 2231, 2232, 2238, 2241, 2246, 2249, 2261, 2271, 2277, 2298, 2307, 2308], "becom": [1, 2, 3, 11, 29, 32, 34, 130, 131, 228, 750, 828, 1041, 1280, 2186, 2190, 2197, 2198, 2199, 2204, 2205, 2210, 2217, 2218, 2228, 2229, 2235, 2241, 2249, 2289, 2295, 2307], "bee": [136, 248, 712, 849, 863, 868, 881, 1441, 1442, 1449, 1450, 2195, 2238], "beef": [139, 140, 1174, 1175], "been": [1, 2, 4, 10, 12, 13, 22, 30, 34, 78, 253, 573, 586, 886, 1384, 1400, 1416, 1431, 1433, 1469, 1486, 1499, 2184, 2185, 2186, 2189, 2191, 2194, 2195, 2197, 2199, 2202, 2203, 2206, 2207, 2214, 2215, 2218, 2219, 2220, 2222, 2223, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2236, 2238, 2239, 2240, 2241, 2246, 2249, 2257, 2261, 2263, 2265, 2266, 2273, 2277, 2283, 2289, 2292, 2294, 2297, 2298, 2302, 2307, 2308], "beeslei": 25, "beetl": [369, 373, 634, 692, 724], "befor": [1, 2, 3, 5, 6, 7, 10, 13, 16, 25, 32, 69, 70, 80, 100, 109, 129, 146, 160, 171, 173, 182, 185, 199, 204, 206, 213, 215, 216, 217, 220, 221, 222, 230, 233, 234, 244, 253, 262, 267, 275, 276, 286, 341, 420, 427, 506, 578, 579, 592, 597, 622, 624, 631, 694, 706, 707, 710, 720, 734, 738, 739, 747, 749, 753, 760, 773, 777, 780, 788, 789, 790, 791, 792, 795, 796, 797, 799, 804, 807, 808, 815, 821, 853, 861, 865, 878, 886, 896, 897, 901, 902, 1039, 1040, 1052, 1061, 1064, 1141, 1145, 1152, 1156, 1183, 1211, 1213, 1215, 1244, 1275, 1344, 1345, 1388, 1391, 1395, 1397, 1398, 1403, 1404, 1407, 1408, 1409, 1410, 1411, 1413, 1418, 1430, 1431, 1432, 1447, 1454, 1459, 1469, 1475, 1477, 1486, 1488, 1490, 1498, 1506, 1524, 1542, 1560, 1598, 1620, 1637, 1657, 1677, 1699, 1720, 1741, 1776, 1793, 1815, 1857, 1930, 1947, 1982, 2000, 2036, 2054, 2090, 2108, 2127, 2145, 2164, 2165, 2173, 2185, 2186, 2188, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2200, 2202, 2207, 2208, 2210, 2211, 2212, 2214, 2215, 2217, 2218, 2220, 2221, 2222, 2225, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2239, 2240, 2241, 2242, 2243, 2246, 2249, 2257, 2261, 2263, 2265, 2271, 2275, 2277, 2278, 2283, 2289, 2290, 2291, 2294, 2298, 2301, 2302, 2307], "before_cellstyl": 2207, "before_head_row": 2207, "before_row": 2207, "before_styl": 2207, "before_t": 2207, "beforehand": [2, 2201, 2211, 2246], "begin": [3, 5, 13, 16, 19, 121, 233, 234, 259, 267, 270, 425, 426, 427, 502, 513, 515, 533, 535, 541, 696, 807, 808, 866, 873, 890, 896, 898, 1044, 1345, 1391, 1403, 1404, 1433, 1469, 1476, 1483, 1486, 1488, 1490, 1498, 1499, 1699, 1930, 2127, 2186, 2199, 2202, 2208, 2210, 2212, 2220, 2221, 2225, 2228, 2229, 2271, 2277, 2289], "behav": [7, 63, 134, 205, 267, 341, 709, 778, 896, 1350, 1387, 2168, 2185, 2187, 2190, 2195, 2198, 2203, 2207, 2209, 2210, 2211, 2220, 2222, 2224, 2225, 2232, 2235, 2238, 2240, 2249, 2261, 2265, 2277, 2283, 2289, 2290, 2294, 2302, 2307], "behavior": [0, 2, 3, 10, 12, 13, 14, 34, 72, 73, 74, 77, 81, 82, 94, 98, 99, 143, 146, 160, 169, 200, 201, 207, 208, 209, 210, 212, 213, 225, 226, 227, 242, 245, 255, 258, 263, 264, 270, 273, 274, 276, 277, 278, 283, 288, 296, 318, 427, 575, 581, 582, 583, 586, 593, 621, 622, 639, 652, 673, 681, 719, 720, 738, 774, 775, 781, 782, 783, 784, 787, 788, 800, 801, 802, 817, 873, 879, 880, 889, 894, 898, 900, 902, 903, 904, 910, 940, 943, 948, 957, 970, 997, 999, 1014, 1018, 1031, 1068, 1118, 1148, 1149, 1152, 1155, 1168, 1202, 1203, 1207, 1208, 1211, 1213, 1225, 1263, 1264, 1269, 1270, 1304, 1321, 1345, 1391, 1446, 1469, 1470, 1475, 1477, 1478, 1486, 1487, 1488, 1490, 1497, 1498, 2177, 2191, 2192, 2193, 2194, 2195, 2196, 2197, 2201, 2202, 2206, 2207, 2210, 2211, 2212, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2222, 2223, 2224, 2225, 2226, 2231, 2232, 2235, 2238, 2240, 2241, 2242, 2246, 2247, 2249, 2257, 2260, 2265, 2266, 2271, 2277, 2283, 2289, 2294, 2297, 2298, 2302, 2308], "behaviour": [18, 75, 77, 97, 98, 169, 205, 242, 247, 584, 620, 621, 634, 778, 808, 817, 864, 880, 1123, 1345, 1391, 1419, 1446, 1468, 1469, 1470, 1471, 1472, 1475, 1476, 1477, 1478, 1481, 1482, 1483, 1484, 1486, 1487, 1488, 1490, 1498, 1499, 2186, 2188, 2199, 2201, 2202, 2206, 2221, 2222, 2223, 2224, 2225, 2226, 2231, 2235, 2241, 2243, 2246, 2249, 2265, 2271, 2277, 2278, 2289, 2294, 2298, 2302, 2307], "behind": [2197, 2207, 2218, 2302, 2307], "behr": 32, "beij": [1145, 2207], "being": [1, 2, 3, 4, 10, 13, 17, 141, 150, 152, 160, 188, 189, 209, 212, 214, 223, 241, 253, 257, 259, 262, 263, 269, 276, 346, 352, 375, 376, 563, 617, 699, 717, 738, 764, 765, 783, 787, 798, 830, 835, 858, 859, 864, 886, 890, 902, 1035, 1076, 1117, 1192, 1253, 1387, 1388, 1431, 1433, 1469, 1472, 1475, 1486, 1487, 1493, 1494, 1495, 1496, 1498, 2186, 2188, 2191, 2194, 2195, 2197, 2199, 2201, 2204, 2206, 2210, 2211, 2212, 2214, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2237, 2238, 2239, 2241, 2242, 2246, 2249, 2250, 2261, 2265, 2266, 2267, 2271, 2275, 2277, 2278, 2283, 2286, 2287, 2289, 2294, 2296, 2298, 2302, 2304, 2307, 2308], "belal01": 30, "belhb23": 30, "belld01": 30, "belld02": 30, "belong": [2, 150, 303, 445, 555, 655, 2195, 2210, 2211, 2217, 2222, 2228, 2232], "below": [1, 3, 5, 6, 9, 10, 13, 15, 16, 17, 19, 22, 79, 92, 98, 102, 107, 117, 160, 196, 213, 252, 276, 378, 380, 465, 489, 591, 616, 621, 629, 693, 738, 771, 788, 902, 1121, 1146, 1148, 1149, 1152, 1158, 1164, 1203, 1207, 1208, 1211, 1221, 1264, 1309, 1323, 1326, 1328, 1343, 1344, 1345, 1354, 1391, 1397, 1403, 1421, 1430, 1433, 1488, 1490, 1498, 1657, 1677, 1699, 1720, 1793, 1815, 2167, 2175, 2184, 2185, 2186, 2188, 2194, 2195, 2197, 2199, 2202, 2206, 2207, 2208, 2210, 2211, 2212, 2218, 2221, 2228, 2231, 2232, 2235, 2241, 2249, 2265, 2271, 2275, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "belr833": 30, "benchmark": [2, 11, 15, 2222, 2228, 2307], "benefici": [2193, 2302], "benefit": [4, 1478, 2190, 2193, 2197, 2199, 2212, 2228, 2230, 2246, 2249, 2283, 2289], "benevol": 34, "benitar01": 2191, "benjamin": 2218, "bera": [2186, 2227], "berg": [853, 861], "berkelei": 81, "berlin": [330, 685, 1344, 2210], "bernstein": [146, 720], "besid": [3, 203, 1741, 2210, 2277], "bessel": 2186, "best": [2, 6, 12, 13, 14, 15, 34, 35, 97, 143, 620, 719, 1118, 1119, 1142, 1487, 2184, 2193, 2199, 2207, 2211, 2239, 2295, 2307], "beta": [144, 1403], "beth": 281, "betr801": [26, 27, 29, 30, 31], "better": [0, 2, 3, 13, 77, 134, 143, 151, 162, 586, 709, 719, 1305, 1322, 1354, 1741, 2167, 2186, 2199, 2204, 2205, 2207, 2208, 2210, 2214, 2216, 2218, 2220, 2224, 2230, 2231, 2234, 2238, 2246, 2248, 2250, 2254, 2255, 2256, 2257, 2261, 2265, 2283, 2298, 2300, 2302, 2307], "between": [0, 1, 2, 3, 10, 13, 16, 23, 25, 26, 27, 30, 34, 77, 84, 88, 94, 99, 100, 102, 107, 110, 127, 157, 182, 195, 197, 202, 205, 207, 208, 268, 300, 301, 378, 380, 417, 465, 489, 506, 514, 516, 522, 524, 573, 595, 597, 600, 622, 624, 629, 632, 682, 703, 732, 760, 770, 776, 778, 781, 782, 821, 830, 835, 845, 858, 859, 916, 938, 983, 1042, 1094, 1142, 1155, 1156, 1158, 1164, 1187, 1190, 1191, 1213, 1215, 1221, 1248, 1251, 1252, 1280, 1289, 1298, 1299, 1306, 1308, 1314, 1323, 1325, 1331, 1343, 1344, 1393, 1434, 1447, 1455, 1463, 1465, 1470, 1475, 1476, 1478, 1497, 1506, 1524, 1542, 1560, 1637, 1699, 1720, 1815, 1982, 2000, 2127, 2145, 2185, 2186, 2188, 2191, 2195, 2196, 2197, 2199, 2200, 2201, 2205, 2208, 2212, 2213, 2214, 2218, 2221, 2222, 2223, 2224, 2226, 2230, 2231, 2235, 2238, 2241, 2242, 2246, 2248, 2249, 2254, 2258, 2261, 2265, 2271, 2274, 2277, 2278, 2282, 2283, 2284, 2285, 2289, 2293, 2294, 2298, 2299, 2302, 2306], "between_tim": [84, 127, 157, 301, 595, 703, 732, 2230, 2246, 2261, 2263, 2264, 2289, 2298], "beyond": [13, 176, 179, 2186, 2199, 2210, 2211, 2224, 2261], "bfill": [74, 79, 87, 125, 146, 182, 207, 208, 212, 213, 378, 417, 465, 489, 583, 591, 598, 701, 720, 760, 781, 782, 787, 788, 1040, 1052, 1167, 1224, 1275, 1280, 2186, 2195, 2201, 2214, 2218, 2220, 2241, 2242, 2251, 2271, 2277, 2283, 2289, 2298, 2302, 2304, 2307], "bfseri": 1433, "bh": [1598, 2210, 2307], "bhour_mon": 2210, "bhour_u": [2210, 2231], "bia": [102, 1158, 1299, 1301, 1303, 1309, 1326, 2212, 2222], "bias": [2212, 2222], "bic": [2186, 2227], "bid": [1447, 2200, 2232], "big": [15, 16, 17, 18, 19, 22, 111, 144, 268, 2194, 2199, 2218, 2224, 2225, 2228, 2229, 2235, 2241, 2271, 2289, 2302], "bigdf": 2207, "bigger": [2294, 2307], "biggest": 2199, "biggicr01": 2191, "bigint": [2199, 2307], "bigqueri": [255, 1473, 2172, 2196, 2218, 2225, 2226, 2230, 2249, 2294], "bike": [417, 439], "bill": [18, 1473], "bim": 2202, "bin": [5, 22, 72, 73, 79, 137, 192, 193, 213, 345, 436, 445, 459, 591, 713, 768, 788, 908, 1125, 1173, 1192, 1230, 1253, 1266, 1343, 1467, 2186, 2188, 2195, 2204, 2214, 2220, 2222, 2232, 2234, 2235, 2240, 2242, 2246, 2249, 2261, 2265, 2271, 2293, 2303, 2307], "bin_r": 2210, "binari": [10, 16, 34, 36, 69, 109, 118, 129, 132, 135, 159, 161, 171, 173, 175, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 251, 254, 256, 263, 265, 268, 271, 275, 337, 420, 578, 631, 694, 706, 707, 710, 734, 739, 747, 749, 753, 773, 777, 780, 790, 791, 792, 795, 796, 797, 799, 878, 884, 888, 895, 899, 901, 1470, 1471, 1477, 1478, 1479, 1480, 2172, 2184, 2191, 2196, 2205, 2214, 2218, 2219, 2220, 2225, 2231, 2232, 2237, 2238, 2243, 2246, 2253, 2254, 2257, 2265, 2273, 2278, 2279, 2280, 2289, 2298, 2302, 2307], "binary6": 1416, "binary7": 1416, "binaryio": 341, "bind": [5, 16, 17, 18, 19, 2197, 2199, 2235, 2241, 2307], "binder": 35, "bindparam": 2199, "bingroup": 2228, "binop": 2214, "bio": 2199, "biomed": 2199, "biotech": 2220, "bird": [3, 172, 198, 214, 249, 271, 285, 617, 785, 822, 847, 860, 882, 899, 913, 1146, 1198, 1202, 1263, 2195], "birth": 2166, "birthdai": 2289, "bisect": 13, "bit": [4, 10, 13, 15, 34, 568, 918, 1031, 1095, 1152, 1211, 1432, 1434, 1491, 1741, 2185, 2186, 2192, 2194, 2195, 2197, 2199, 2201, 2205, 2207, 2209, 2210, 2215, 2216, 2220, 2222, 2230, 2232, 2235, 2238, 2241, 2246, 2261, 2277, 2283, 2287, 2298, 2301, 2302], "bitbucket": 35, "bitgener": [223, 798, 1194, 1255, 2271], "bitmask": [2300, 2309], "bitwis": [203, 829, 1387, 2193, 2225, 2293, 2294, 2302], "bitwise_and": 2293, "bl": [2199, 2283], "black": [2, 30, 107, 402, 413, 629, 785, 1164, 1194, 1221, 1255, 1384, 1400, 1423, 2197, 2199, 2207, 2228, 2235, 2294], "blank": [3, 16, 17, 19, 1394, 1421, 1432, 1469, 1486, 2199, 2207, 2211, 2222, 2226, 2228, 2271, 2277, 2283], "bld": 1, "blk": 2199, "blob": [2199, 2271, 2307], "block": [2, 3, 7, 34, 282, 1142, 1345, 1349, 1391, 1488, 1490, 1494, 2191, 2196, 2199, 2202, 2207, 2218, 2220, 2222, 2223, 2224, 2226, 2227, 2232, 2235, 2246, 2253, 2256, 2261, 2265, 2284, 2289, 2294, 2298, 2307], "block0_item": [348, 2199], "block0_valu": [348, 2199], "block_length": 1142, "blocker": [4, 13], "blockindex": 2232, "blockmanag": [7, 2218, 2224, 2253, 2298, 2307], "blockmanagerfix": 2199, "blockvaluesref": 7, "blog": [8, 13, 35], "blogpost": 2241, "blood": [164, 170, 245, 742, 746, 879, 2188], "blosc": [22, 256, 888, 2199, 2226, 2236, 2294, 2307], "blosclz": [256, 888, 2199, 2236], "blow": 2220, "blue": [3, 15, 401, 434, 478, 485, 488, 1182, 1194, 1241, 1255, 1395, 1415, 1421, 1422, 1463, 2197, 2200, 2207, 2219], "bluegreenr": 1348, "bm": [2210, 2226, 2307], "bme": [213, 788, 2210, 2307], "bmonthbegin": [1620, 2210], "bmonthend": [1637, 2210], "bmth_u": 2210, "bn": [176, 179], "bo": [15, 251, 884, 2191, 2204], "board": 32, "bob": [142, 274, 599, 2197, 2199, 2205, 2218], "bodi": [16, 17, 18, 19, 1475, 2199, 2225, 2235], "bogu": 2215, "boilerpl": 2246, "bokeh": [10, 2211], "bold": [3, 257, 259, 890, 1395, 1400, 1407, 1411, 1432, 1433, 2199, 2207, 2237], "bold_head": [1432, 2289], "bold_row": [257, 259, 890, 2199, 2237], "bolder": 1433, "bolingbrok": 2248, "bom": [2232, 2249, 2277], "bondsba01": 2191, "bone": 2199, "bonnel": [23, 25], "book": [241, 1470, 2199, 2294, 2295, 2298], "book1": 2294, "book2": 2294, "bookstor": 2199, "booktab": [259, 890, 1433], "bool": [3, 9, 15, 25, 32, 39, 44, 46, 49, 55, 61, 62, 63, 66, 74, 75, 76, 77, 79, 82, 89, 91, 92, 94, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 111, 112, 114, 116, 117, 118, 119, 120, 121, 123, 124, 125, 131, 132, 134, 135, 137, 139, 140, 143, 144, 145, 146, 148, 149, 152, 153, 155, 156, 159, 161, 163, 164, 165, 166, 167, 168, 169, 170, 172, 175, 177, 178, 180, 185, 186, 187, 200, 201, 202, 203, 205, 207, 208, 209, 210, 212, 213, 214, 218, 223, 224, 225, 226, 227, 228, 232, 233, 234, 241, 242, 245, 250, 251, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 266, 267, 268, 269, 270, 272, 274, 276, 277, 278, 279, 280, 281, 283, 284, 285, 286, 288, 296, 301, 303, 304, 305, 308, 309, 310, 318, 321, 325, 331, 342, 345, 346, 351, 352, 354, 356, 357, 359, 360, 363, 364, 365, 367, 373, 375, 376, 384, 385, 386, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 404, 406, 407, 408, 413, 414, 418, 421, 427, 429, 430, 431, 434, 436, 439, 447, 448, 449, 453, 454, 455, 459, 462, 463, 464, 467, 469, 476, 478, 481, 492, 500, 501, 502, 505, 540, 568, 573, 575, 583, 584, 585, 586, 587, 588, 591, 593, 599, 601, 614, 615, 616, 619, 620, 621, 625, 626, 627, 628, 633, 634, 636, 639, 652, 655, 656, 657, 660, 661, 673, 686, 692, 693, 694, 695, 696, 698, 699, 700, 701, 707, 709, 710, 711, 713, 715, 716, 719, 720, 721, 722, 723, 724, 725, 726, 730, 731, 734, 739, 741, 742, 743, 744, 745, 746, 748, 753, 755, 756, 758, 762, 763, 774, 775, 778, 781, 782, 783, 784, 787, 788, 789, 793, 798, 800, 801, 802, 806, 807, 808, 812, 815, 817, 823, 827, 828, 832, 836, 837, 838, 839, 840, 841, 842, 843, 844, 850, 851, 853, 857, 861, 862, 866, 867, 873, 879, 880, 883, 884, 886, 888, 889, 890, 892, 893, 894, 896, 897, 898, 902, 903, 904, 906, 908, 910, 912, 913, 914, 917, 938, 940, 943, 945, 948, 950, 954, 957, 970, 975, 976, 977, 978, 979, 980, 981, 997, 1014, 1032, 1035, 1037, 1038, 1039, 1040, 1041, 1044, 1045, 1049, 1051, 1052, 1055, 1064, 1077, 1078, 1079, 1080, 1081, 1083, 1085, 1087, 1089, 1090, 1091, 1092, 1094, 1096, 1100, 1101, 1102, 1103, 1107, 1108, 1109, 1111, 1117, 1118, 1121, 1122, 1123, 1124, 1125, 1128, 1129, 1130, 1131, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1150, 1151, 1152, 1154, 1155, 1156, 1158, 1159, 1167, 1168, 1169, 1173, 1174, 1175, 1177, 1178, 1179, 1180, 1181, 1182, 1184, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1198, 1199, 1200, 1204, 1205, 1209, 1210, 1211, 1216, 1224, 1225, 1226, 1230, 1231, 1232, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1259, 1260, 1261, 1267, 1276, 1280, 1281, 1283, 1284, 1290, 1292, 1294, 1295, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1305, 1306, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1358, 1387, 1388, 1390, 1391, 1394, 1406, 1421, 1431, 1432, 1433, 1434, 1436, 1441, 1442, 1444, 1445, 1446, 1447, 1449, 1450, 1454, 1458, 1461, 1465, 1467, 1469, 1470, 1471, 1473, 1474, 1475, 1476, 1478, 1480, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1489, 1490, 1491, 1492, 1493, 1494, 1495, 1496, 1498, 1501, 1506, 1524, 1542, 1560, 1578, 1598, 1620, 1637, 1657, 1677, 1699, 1720, 1741, 1776, 1793, 1815, 1857, 1930, 1947, 1982, 2000, 2036, 2054, 2090, 2108, 2127, 2145, 2164, 2165, 2167, 2184, 2185, 2186, 2187, 2188, 2191, 2193, 2194, 2197, 2199, 2201, 2202, 2203, 2208, 2210, 2211, 2212, 2214, 2217, 2218, 2220, 2221, 2222, 2224, 2225, 2226, 2229, 2230, 2231, 2235, 2238, 2241, 2242, 2243, 2246, 2249, 2260, 2264, 2265, 2267, 2271, 2277, 2283, 2284, 2286, 2289, 2294, 2298, 2301, 2302, 2307], "bool1": 2186, "bool2": 2186, "bool_": [90, 602, 1081, 2167, 2185, 2186, 2193, 2199, 2201, 2222, 2238, 2239, 2294, 2307], "bool_index": 2271, "bool_onli": [75, 76, 584, 585, 2248, 2277, 2294, 2298, 2302], "bool_vec": 2191, "boolarrai": 2, "boolcol": 2199, "boolean": [2, 3, 9, 15, 16, 17, 18, 19, 25, 32, 38, 75, 76, 90, 97, 99, 100, 101, 102, 108, 116, 120, 126, 139, 140, 141, 147, 148, 149, 155, 156, 160, 163, 164, 165, 166, 170, 177, 178, 186, 200, 201, 202, 203, 212, 225, 232, 238, 242, 245, 276, 283, 284, 285, 303, 304, 305, 306, 307, 308, 309, 363, 382, 383, 391, 392, 393, 394, 395, 396, 397, 398, 399, 401, 402, 413, 447, 448, 449, 453, 454, 461, 466, 467, 468, 469, 473, 491, 492, 584, 585, 590, 599, 602, 603, 620, 630, 655, 656, 657, 658, 659, 660, 661, 702, 717, 721, 722, 723, 724, 725, 726, 730, 731, 738, 741, 742, 743, 744, 746, 755, 756, 762, 774, 775, 787, 800, 806, 817, 823, 827, 832, 836, 837, 838, 839, 840, 841, 842, 843, 844, 850, 867, 879, 902, 910, 912, 913, 1049, 1050, 1055, 1076, 1078, 1079, 1080, 1081, 1082, 1084, 1086, 1088, 1093, 1095, 1097, 1099, 1103, 1104, 1105, 1106, 1110, 1112, 1113, 1114, 1115, 1121, 1123, 1124, 1127, 1131, 1132, 1136, 1143, 1150, 1151, 1155, 1156, 1158, 1168, 1169, 1174, 1175, 1177, 1178, 1179, 1180, 1181, 1188, 1189, 1190, 1195, 1198, 1199, 1200, 1205, 1209, 1210, 1225, 1226, 1236, 1237, 1238, 1239, 1240, 1249, 1250, 1251, 1256, 1259, 1260, 1261, 1267, 1276, 1281, 1283, 1284, 1290, 1292, 1294, 1295, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1306, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1345, 1358, 1387, 1389, 1391, 1406, 1435, 1441, 1442, 1449, 1450, 1487, 1488, 1490, 1509, 1510, 1511, 1512, 1513, 1514, 1515, 1516, 1527, 1528, 1529, 1530, 1531, 1532, 1533, 1534, 1545, 1546, 1547, 1548, 1549, 1550, 1551, 1552, 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1583, 1584, 1585, 1586, 1587, 1588, 1589, 1590, 1604, 1605, 1606, 1607, 1608, 1609, 1610, 1611, 1623, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1640, 1641, 1642, 1643, 1644, 1645, 1646, 1647, 1662, 1663, 1664, 1665, 1666, 1667, 1668, 1669, 1683, 1684, 1685, 1686, 1687, 1688, 1689, 1690, 1704, 1705, 1706, 1707, 1708, 1709, 1710, 1711, 1725, 1726, 1727, 1728, 1729, 1730, 1731, 1732, 1744, 1745, 1746, 1747, 1748, 1749, 1750, 1751, 1763, 1764, 1765, 1766, 1767, 1768, 1769, 1779, 1780, 1781, 1782, 1783, 1784, 1785, 1786, 1798, 1799, 1800, 1801, 1802, 1803, 1804, 1805, 1820, 1821, 1822, 1823, 1824, 1825, 1826, 1827, 1844, 1845, 1846, 1847, 1848, 1849, 1850, 1860, 1861, 1862, 1863, 1864, 1865, 1866, 1867, 1881, 1882, 1883, 1884, 1885, 1886, 1887, 1899, 1900, 1901, 1902, 1903, 1904, 1905, 1917, 1918, 1919, 1920, 1921, 1922, 1923, 1933, 1934, 1935, 1936, 1937, 1938, 1939, 1940, 1950, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2023, 2024, 2025, 2026, 2027, 2028, 2029, 2040, 2041, 2042, 2043, 2044, 2045, 2046, 2047, 2058, 2059, 2060, 2061, 2062, 2063, 2064, 2065, 2077, 2078, 2079, 2080, 2081, 2082, 2083, 2093, 2094, 2095, 2096, 2097, 2098, 2099, 2100, 2111, 2112, 2113, 2114, 2115, 2116, 2117, 2118, 2130, 2131, 2132, 2133, 2134, 2135, 2136, 2137, 2148, 2149, 2150, 2151, 2152, 2153, 2154, 2155, 2185, 2188, 2191, 2192, 2193, 2195, 2196, 2198, 2202, 2208, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2224, 2226, 2229, 2231, 2232, 2233, 2235, 2239, 2241, 2242, 2246, 2248, 2249, 2255, 2263, 2264, 2269, 2271, 2275, 2277, 2280, 2285, 2288, 2289, 2291, 2294, 2295, 2298, 2299, 2302, 2307, 2309], "booleanarrai": [590, 1055, 1118, 1120, 1143, 2186, 2187, 2197, 2267, 2277, 2289], "booleandtyp": [97, 620, 2167, 2186, 2201, 2208, 2265, 2267, 2283, 2289, 2293, 2298, 2302], "boost": 2224, "bootstrap": [1457, 2262], "bootstrap_plot": [2172, 2211, 2271], "bootstrapping_": 1457, "bop": 2195, "border": [257, 1345, 1348, 1391, 1400, 1488, 1490, 2199, 2202, 2207, 2232, 2238, 2241, 2249, 2294, 2297], "born": [114, 148, 149, 177, 178, 725, 726, 755, 756], "bossch": [2247, 2248], "boston": 18, "bot": 13, "both": [2, 3, 5, 6, 13, 16, 17, 18, 19, 21, 22, 25, 26, 27, 28, 29, 30, 31, 34, 63, 65, 69, 74, 83, 88, 91, 94, 95, 98, 100, 102, 107, 109, 119, 129, 134, 137, 138, 141, 146, 147, 153, 155, 156, 160, 164, 165, 166, 169, 170, 171, 172, 173, 186, 195, 199, 200, 201, 203, 204, 205, 206, 212, 215, 216, 217, 218, 220, 221, 222, 224, 225, 232, 242, 244, 245, 247, 259, 273, 275, 278, 280, 283, 286, 292, 294, 328, 331, 332, 345, 376, 390, 429, 433, 434, 445, 446, 448, 449, 453, 455, 457, 458, 459, 460, 462, 463, 464, 467, 468, 469, 475, 573, 578, 583, 594, 599, 600, 621, 629, 631, 644, 646, 686, 688, 694, 695, 699, 706, 707, 709, 710, 714, 717, 720, 730, 731, 734, 738, 739, 742, 743, 744, 746, 747, 749, 753, 762, 770, 773, 774, 775, 777, 778, 780, 787, 790, 791, 792, 793, 795, 796, 797, 800, 806, 817, 852, 874, 878, 879, 880, 890, 900, 901, 904, 910, 916, 952, 953, 1014, 1050, 1053, 1125, 1126, 1128, 1129, 1130, 1131, 1132, 1138, 1141, 1145, 1156, 1158, 1164, 1173, 1178, 1181, 1188, 1193, 1198, 1200, 1221, 1237, 1240, 1249, 1254, 1261, 1280, 1305, 1322, 1344, 1345, 1354, 1388, 1391, 1393, 1397, 1398, 1403, 1407, 1411, 1419, 1430, 1446, 1447, 1448, 1458, 1470, 1475, 1478, 1488, 1490, 1492, 1493, 1494, 1495, 1497, 1498, 2167, 2169, 2180, 2184, 2185, 2186, 2187, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2207, 2208, 2209, 2210, 2211, 2212, 2216, 2217, 2218, 2219, 2220, 2222, 2224, 2225, 2226, 2227, 2228, 2230, 2231, 2232, 2235, 2236, 2238, 2241, 2243, 2246, 2249, 2257, 2261, 2265, 2271, 2275, 2277, 2282, 2283, 2285, 2289, 2294, 2298, 2302, 2307, 2309, 2310], "boto": [2230, 2235], "bottleneck": [1, 22, 1345, 1391, 1488, 1490, 2186, 2199, 2202, 2216, 2235, 2238, 2240, 2241, 2246, 2249, 2262, 2265, 2271, 2277, 2283, 2289, 2294, 2299, 2302, 2307], "bottom": [17, 186, 205, 762, 778, 1188, 1191, 1249, 1252, 1345, 1391, 1433, 1469, 1486, 1488, 1490, 2184, 2195, 2199, 2202, 2207, 2220, 2221, 2227, 2241, 2249, 2264, 2289, 2302], "bottommost": [253, 886, 1431, 2199], "bottomrul": [259, 890, 1433, 2277], "bound": [3, 88, 138, 141, 383, 445, 450, 456, 457, 458, 459, 462, 463, 599, 600, 714, 717, 1064, 1073, 1125, 1128, 1129, 1145, 1343, 1344, 1393, 1407, 1411, 1452, 1467, 1497, 1498, 2185, 2196, 2197, 2199, 2212, 2216, 2218, 2220, 2223, 2225, 2228, 2230, 2231, 2232, 2236, 2241, 2249, 2250, 2265, 2266, 2267, 2271, 2276, 2283, 2285, 2289, 2298, 2302, 2304, 2307], "boundari": [88, 92, 218, 286, 345, 599, 600, 616, 793, 1074, 1075, 1145, 1193, 1254, 1344, 1407, 2183, 2197, 2222, 2226, 2230, 2232, 2243, 2246, 2283, 2298], "boundscheck": 2193, "bow": 2217, "box": [1, 10, 12, 21, 24, 26, 29, 91, 186, 257, 269, 286, 540, 762, 1035, 1064, 1122, 1141, 1154, 1188, 1249, 1458, 1473, 2207, 2216, 2222, 2228, 2230, 2232, 2238, 2246, 2247, 2249, 2265, 2283, 2289, 2294, 2307], "box_with_arrai": 2, "boxcar": 2222, "boxplot": [21, 26, 186, 190, 762, 766, 1188, 1249, 2172, 2184, 2195, 2211, 2220, 2221, 2222, 2225, 2232, 2235, 2236, 2242, 2255, 2265, 2271, 2277, 2289, 2294], "boxprop": 2271, "bp": [1433, 2211], "bpoli": [146, 720, 1280], "bq": [2210, 2221, 2226, 2307], "bqe": [213, 788, 2210, 2307], "bquarterbegin": [2172, 2210], "bquarterend": [2172, 2210, 2307], "br": [2199, 2294], "brace": [1433, 2241], "bracket": [3, 23, 24, 25, 27, 28, 445, 1416, 2265, 2294], "bradlei": [25, 32], "branch": [2, 6, 13, 22, 2195, 2220, 2235, 2261], "brand": [1, 112, 116, 2196], "braund": [23, 32], "brazilian": [291, 314, 643, 667], "bread": [420, 799], "break": [1, 2, 13, 14, 16, 17, 18, 19, 272, 463, 873, 1129, 1391, 1469, 1472, 1486, 1488, 1490, 2184, 2195, 2199, 2202, 2208, 2210, 2214, 2218, 2220, 2223, 2224, 2225, 2226, 2229, 2230, 2235, 2240, 2241, 2246, 2250, 2259, 2265, 2277, 2278, 2294], "break_long_word": 873, "break_on_hyphen": 873, "breakag": [2, 2215], "breakdown": 1462, "breed": 1265, "breviti": [2184, 2199], "brief": [5, 2191, 2207, 2249], "briefli": [2191, 2265], "brigg": [25, 32], "bring": [0, 1, 2210, 2271, 2307], "british": 2210, "broad": [3, 2191, 2207], "broadcast": [69, 74, 77, 109, 118, 129, 132, 135, 159, 161, 171, 173, 175, 199, 204, 206, 207, 215, 216, 217, 220, 221, 222, 244, 275, 578, 583, 631, 694, 706, 707, 710, 734, 739, 747, 749, 753, 773, 777, 780, 781, 790, 791, 792, 795, 796, 797, 878, 901, 1203, 1264, 2184, 2185, 2191, 2195, 2214, 2218, 2221, 2222, 2228, 2230, 2232, 2233, 2235, 2236, 2241, 2257, 2265, 2286, 2289, 2294], "broadcast_axi": [74, 583, 2302], "broader": [34, 2199, 2207], "broadest": 282, "broke": [2246, 2267], "broken": [22, 378, 417, 465, 489, 873, 1167, 1224, 2191, 2222, 2226, 2229, 2246, 2261, 2304], "brotli": 263, "brotlipi": 2294, "brought": 2210, "broward": [1443, 2199], "brown": 1384, "brows": 6, "browser": [4, 5, 6, 1432, 1434, 2199, 2207, 2230, 2283], "brunei": [176, 179, 754, 757, 1242, 1243], "brussel": [969, 1004, 1016, 1020, 1021], "bs4": [1475, 2199, 2217, 2231], "bsd": [34, 36], "bson": 9, "bsr_matrix": 1111, "bubbl": 2211, "buchkovski": 2247, "bucket": [16, 17, 19, 213, 788, 1343, 1467, 1478, 2199, 2221, 2228, 2269, 2270], "bucketnam": 2230, "buf": [144, 257, 259, 260, 269, 890, 892, 897, 1432, 1433, 1434, 2199, 2292, 2307], "buffer": [144, 257, 259, 260, 262, 263, 268, 269, 337, 341, 890, 892, 897, 1091, 1366, 1432, 1433, 1434, 1470, 2194, 2199, 2220, 2225, 2230, 2235, 2242, 2265, 2273, 2277, 2279, 2283, 2309], "buffer_lin": [2232, 2241], "buffer_rd_byt": 2230, "bug": [0, 2, 5, 11, 13, 14, 22, 35, 1119, 1491, 1501, 2172, 2185, 2188, 2197, 2213, 2214, 2215, 2216, 2258, 2259, 2260, 2261, 2262, 2263, 2264], "bugfix": 2, "buggi": [2, 2218, 2220, 2224, 2230], "bui": 1433, "build": [1, 2, 3, 6, 8, 10, 11, 13, 16, 17, 18, 19, 22, 34, 243, 272, 445, 459, 573, 1077, 1125, 1146, 1394, 2184, 2185, 2186, 2188, 2191, 2192, 2193, 2194, 2197, 2199, 2200, 2201, 2202, 2203, 2205, 2207, 2208, 2210, 2212, 2213, 2226, 2228, 2229, 2230, 2232, 2233, 2235, 2238, 2244, 2270, 2278, 2294, 2298, 2302, 2307], "build_ext": 13, "build_table_schema": 2199, "builddir": [5, 8], "builder": [22, 2199], "buildtmp": 2193, "built": [2, 3, 4, 5, 6, 8, 10, 13, 16, 17, 19, 21, 32, 34, 509, 846, 1368, 1433, 2184, 2186, 2193, 2194, 2199, 2207, 2208, 2210, 2221, 2225, 2227, 2231, 2232, 2238, 2241, 2261, 2265, 2283, 2284, 2289, 2294], "builtin": [2, 26, 233, 234, 262, 427, 807, 808, 1109, 1433, 1469, 1470, 1476, 1485, 1486, 2172, 2186, 2193, 2196, 2199, 2222, 2232, 2277, 2290, 2302], "bull": [1157, 1160, 1162, 1214, 1217, 1219, 1273], "bullet": 13, "bullwhip": 114, "bump": [2207, 2249, 2277, 2278], "bunch": [2205, 2211], "burden": [2, 34], "busdaycalendar": [1145, 1657, 1677, 1699, 1720, 2217], "busi": [34, 187, 763, 1145, 1506, 1524, 1542, 1560, 1578, 1598, 1620, 1637, 1657, 1677, 1699, 1720, 1741, 1815, 2215, 2218, 2220, 2226, 2238, 2241, 2265, 2289], "business_d": [2195, 2222], "businessdai": [1075, 1502, 1503, 1512, 1530, 1548, 1566, 1607, 1626, 1643, 1665, 1686, 1707, 1728, 1747, 1765, 1782, 1801, 1823, 1846, 1863, 1883, 1901, 1919, 1936, 1953, 1971, 1988, 2006, 2025, 2043, 2061, 2079, 2096, 2114, 2133, 2151, 2172, 2184, 2210, 2212, 2219, 2226, 2277, 2289, 2302, 2307], "businesshour": [1508, 1526, 1544, 1562, 1581, 1622, 1639, 1660, 1681, 1702, 1723, 1743, 1761, 1778, 1795, 1817, 1842, 1859, 1879, 1897, 1915, 1932, 1949, 1967, 1984, 2002, 2021, 2039, 2057, 2075, 2092, 2110, 2129, 2147, 2172, 2210, 2226, 2231, 2249, 2294, 2298, 2307], "businessmonthbegin": [1504, 2172, 2210, 2221], "businessmonthend": [1505, 2172, 2210, 2220, 2221, 2307], "businessyearbegin": 2221, "button": [1, 26], "buyer": [2195, 2220], "bw_method": [191, 194, 767, 769, 2218, 2241], "bwr": 2207, "by1": 15, "by2": 15, "by_block": 1494, "by_col": 2246, "by_row": [77, 586, 2194, 2302], "bye": [2210, 2307], "byearbegin": [2172, 2210, 2307], "byearend": [2172, 2210, 2307], "bypass": 2218, "bysort": 19, "byte": [9, 144, 168, 262, 263, 337, 407, 411, 745, 751, 825, 877, 911, 1057, 1078, 1109, 1470, 1475, 1476, 1480, 2184, 2196, 2199, 2202, 2205, 2206, 2208, 2218, 2219, 2222, 2223, 2226, 2231, 2232, 2235, 2246, 2249, 2265, 2277, 2278, 2279, 2287, 2294, 2295, 2298, 2302], "byte_arrai": 9, "bytemask": 2309, "byteord": [268, 1491, 2194, 2199], "bytes_": [2186, 2199], "bytesio": [262, 263, 341, 1470, 1475, 1478, 1487, 2184, 2199, 2205, 2228, 2277, 2302], "bytestr": 2249, "byteswap": 2194, "bz": 2294, "bz2": [251, 258, 265, 268, 272, 884, 889, 895, 1469, 1476, 1479, 1480, 1485, 1486, 1487, 2199, 2228, 2229, 2235, 2271, 2279, 2294, 2298, 2302], "bz2file": [251, 258, 265, 268, 272, 884, 889, 895, 1469, 1476, 1479, 1480, 1485, 1486, 1487, 2199], "bzip2": [256, 888, 2199], "c": [2, 3, 6, 10, 11, 13, 16, 17, 18, 19, 21, 22, 24, 25, 28, 29, 32, 34, 39, 41, 42, 45, 46, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 68, 72, 73, 74, 76, 83, 94, 95, 96, 97, 100, 102, 107, 108, 111, 113, 118, 120, 123, 124, 125, 130, 131, 132, 134, 135, 138, 141, 144, 146, 154, 155, 156, 159, 160, 161, 167, 169, 174, 175, 184, 185, 186, 188, 189, 192, 197, 202, 203, 205, 209, 212, 224, 226, 231, 232, 233, 234, 247, 250, 253, 255, 256, 258, 261, 267, 273, 276, 280, 322, 339, 354, 361, 365, 366, 368, 376, 378, 380, 381, 383, 388, 405, 406, 408, 416, 418, 419, 425, 426, 430, 434, 465, 481, 489, 490, 494, 495, 497, 501, 505, 506, 532, 562, 573, 577, 578, 583, 585, 594, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 619, 620, 629, 631, 633, 635, 677, 694, 699, 700, 701, 706, 707, 710, 714, 715, 716, 717, 720, 728, 730, 731, 734, 738, 739, 747, 749, 753, 762, 764, 765, 773, 777, 778, 779, 780, 786, 787, 789, 790, 791, 792, 795, 796, 797, 801, 806, 807, 808, 815, 821, 824, 829, 833, 834, 856, 871, 878, 880, 883, 886, 887, 888, 889, 896, 900, 901, 902, 905, 907, 909, 1059, 1060, 1117, 1118, 1143, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1156, 1157, 1158, 1160, 1161, 1162, 1163, 1164, 1166, 1167, 1168, 1169, 1170, 1171, 1176, 1177, 1178, 1179, 1181, 1186, 1188, 1189, 1193, 1195, 1196, 1197, 1199, 1200, 1203, 1205, 1206, 1207, 1208, 1209, 1210, 1214, 1217, 1218, 1219, 1220, 1221, 1223, 1225, 1226, 1227, 1228, 1231, 1232, 1233, 1236, 1237, 1238, 1240, 1247, 1249, 1250, 1254, 1256, 1257, 1258, 1260, 1261, 1264, 1267, 1268, 1273, 1276, 1277, 1278, 1279, 1281, 1292, 1293, 1300, 1302, 1304, 1305, 1306, 1307, 1308, 1310, 1311, 1312, 1313, 1314, 1317, 1318, 1319, 1320, 1321, 1322, 1327, 1328, 1329, 1330, 1335, 1336, 1337, 1342, 1343, 1345, 1347, 1352, 1355, 1358, 1365, 1373, 1374, 1382, 1385, 1388, 1389, 1390, 1391, 1394, 1397, 1406, 1415, 1416, 1421, 1422, 1430, 1431, 1433, 1436, 1445, 1446, 1447, 1448, 1453, 1454, 1465, 1468, 1469, 1470, 1476, 1482, 1483, 1486, 1487, 1488, 1490, 1493, 1657, 2163, 2166, 2184, 2185, 2186, 2188, 2191, 2192, 2194, 2195, 2196, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2241, 2242, 2246, 2249, 2257, 2260, 2261, 2264, 2265, 2266, 2271, 2274, 2277, 2283, 2289, 2291, 2294, 2296, 2297, 2298, 2301, 2302, 2307], "c0": [9, 2185, 2200, 2207, 2220, 2241, 2246], "c1": [9, 829, 1424, 2185, 2188, 2199, 2200, 2207, 2208, 2220, 2230, 2232, 2241, 2246], "c10": 2200, "c103": 25, "c11": 2200, "c123": [24, 25, 28, 29, 32], "c138bdd570e3": 2193, "c148": 24, "c2": [9, 1424, 2185, 2188, 2199, 2200, 2207, 2208, 2220, 2241, 2246], "c2a74e076cf0": 2193, "c3": [9, 828, 2185, 2200, 2207, 2208, 2218, 2220, 2230, 2241, 2246], "c33": [2208, 2230], "c4": [9, 2200, 2207], "c5": 2200, "c6": 2200, "c7": 2200, "c7f464": 1461, "c8": 2200, "c85": [24, 25, 28, 29, 32], "c9": 2200, "c_": 2207, "c_5": 2241, "c_6": 2241, "c_d": 2208, "c_d_e": 2208, "c_mean": 2195, "c_parser_wrapp": [2199, 2203, 2298], "c_sum": [1148, 1149], "ca": [824, 2208], "cab": [2185, 2226], "caba": [824, 2184, 2186, 2208], "cabin": [24, 25, 28, 29, 32], "cac": [1185, 1246, 1288], "cach": [10, 22, 1345, 1391, 1469, 1486, 1488, 1490, 1498, 2186, 2192, 2193, 2199, 2202, 2210, 2212, 2218, 2219, 2220, 2226, 2227, 2228, 2241, 2246, 2249, 2265, 2266, 2271, 2273, 2277, 2283, 2284, 2289, 2293, 2298, 2307], "cache_arrai": 2210, "cache_d": [16, 17, 18, 19, 1469, 1486, 2199, 2203, 2232, 2235, 2249, 2298], "cache_readonli": 2255, "cacheableoffset": [2218, 2241], "cacher": 2197, "cacher_needs_upd": 2197, "caeen": 864, "cal": 2210, "calamin": [22, 337, 1345, 1391, 1470, 1488, 1490, 2196, 2202], "calc": 17, "calcul": [17, 18, 21, 23, 27, 31, 32, 33, 68, 69, 102, 108, 109, 121, 122, 129, 137, 144, 171, 173, 182, 185, 191, 194, 199, 204, 206, 215, 216, 217, 218, 220, 221, 222, 225, 242, 244, 275, 283, 321, 363, 383, 445, 532, 577, 624, 630, 662, 696, 697, 713, 760, 767, 769, 776, 793, 800, 817, 910, 1073, 1075, 1158, 1165, 1173, 1186, 1193, 1215, 1222, 1230, 1247, 1254, 1298, 1299, 1300, 1301, 1302, 1303, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1345, 1391, 1400, 1454, 1488, 1490, 1498, 2184, 2191, 2195, 2196, 2199, 2202, 2204, 2207, 2210, 2211, 2212, 2216, 2218, 2220, 2221, 2222, 2224, 2225, 2228, 2231, 2232, 2238, 2239, 2241, 2245, 2246, 2271, 2277, 2283, 2285, 2289, 2294], "calcutta": [316, 670], "calendar": [11, 127, 157, 517, 529, 703, 732, 1452, 1498, 1657, 1677, 1699, 1720, 1793, 1815, 2127, 2145, 2185, 2209, 2217, 2220, 2231, 2238, 2261, 2271], "call": [2, 3, 10, 14, 15, 16, 17, 18, 19, 21, 22, 29, 31, 40, 50, 60, 72, 73, 77, 92, 94, 95, 98, 110, 121, 122, 134, 137, 141, 153, 160, 163, 169, 182, 184, 186, 188, 189, 195, 203, 207, 208, 209, 210, 218, 223, 228, 240, 251, 258, 273, 280, 284, 341, 362, 375, 381, 383, 418, 503, 504, 575, 581, 582, 586, 605, 613, 616, 617, 621, 632, 683, 696, 697, 709, 717, 738, 741, 750, 760, 762, 764, 765, 770, 781, 782, 784, 793, 798, 816, 821, 824, 857, 884, 889, 900, 912, 953, 1000, 1031, 1036, 1064, 1069, 1071, 1072, 1076, 1094, 1117, 1118, 1121, 1141, 1146, 1152, 1170, 1173, 1183, 1188, 1193, 1203, 1211, 1227, 1244, 1249, 1254, 1264, 1269, 1270, 1277, 1296, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1345, 1346, 1352, 1355, 1356, 1359, 1362, 1363, 1365, 1367, 1369, 1370, 1371, 1372, 1373, 1382, 1384, 1385, 1390, 1391, 1394, 1415, 1418, 1433, 1446, 1453, 1459, 1464, 1469, 1470, 1475, 1482, 1486, 1487, 1488, 1490, 1494, 2166, 2171, 2173, 2179, 2183, 2184, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2193, 2194, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2207, 2208, 2210, 2211, 2212, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2225, 2227, 2228, 2230, 2231, 2232, 2233, 2234, 2235, 2238, 2240, 2241, 2242, 2245, 2246, 2248, 2250, 2255, 2257, 2260, 2265, 2266, 2267, 2269, 2271, 2277, 2283, 2284, 2289, 2291, 2293, 2294, 2295, 2297, 2298, 2300, 2302, 2307, 2309], "callabl": [60, 78, 81, 99, 100, 141, 160, 162, 163, 183, 191, 192, 194, 233, 234, 251, 258, 267, 280, 284, 427, 586, 603, 613, 622, 717, 738, 741, 761, 767, 769, 807, 808, 857, 884, 889, 896, 912, 1035, 1069, 1070, 1071, 1072, 1148, 1149, 1152, 1155, 1156, 1187, 1211, 1213, 1248, 1269, 1270, 1289, 1345, 1391, 1394, 1398, 1403, 1404, 1415, 1469, 1470, 1486, 1488, 1490, 2169, 2180, 2186, 2191, 2192, 2195, 2196, 2199, 2202, 2207, 2208, 2212, 2222, 2231, 2232, 2235, 2236, 2238, 2239, 2241, 2246, 2249, 2250, 2271, 2289, 2291, 2293, 2294, 2298, 2302, 2303, 2307], "callabledynamicdoc": [1345, 1391, 1488, 1490, 2202], "callback": 2271, "caller": [82, 98, 127, 136, 146, 153, 157, 163, 205, 208, 210, 213, 223, 227, 238, 248, 249, 276, 284, 418, 421, 500, 504, 593, 621, 703, 712, 720, 732, 740, 741, 778, 782, 784, 785, 788, 798, 802, 821, 862, 866, 881, 882, 902, 912, 1042, 1190, 1194, 1251, 1255, 2249], "callsmmyi": [2216, 2223], "callsyymmdd": 2223, "calori": [359, 360, 587, 588], "can": [0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 12, 13, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 39, 44, 46, 49, 62, 63, 66, 72, 73, 74, 77, 80, 81, 82, 88, 91, 92, 96, 97, 98, 102, 107, 110, 111, 120, 127, 130, 131, 134, 141, 142, 143, 147, 152, 153, 162, 163, 167, 168, 169, 172, 176, 179, 180, 183, 184, 185, 186, 188, 189, 190, 191, 192, 193, 194, 197, 200, 201, 203, 207, 208, 209, 210, 212, 213, 214, 219, 223, 225, 226, 227, 228, 230, 233, 240, 241, 242, 245, 247, 250, 251, 252, 253, 255, 256, 258, 259, 262, 263, 264, 265, 266, 267, 268, 270, 272, 273, 274, 276, 277, 278, 279, 280, 281, 283, 284, 285, 286, 291, 298, 302, 314, 321, 322, 330, 331, 341, 342, 345, 346, 351, 352, 354, 363, 373, 376, 421, 423, 425, 436, 445, 466, 481, 482, 494, 498, 502, 503, 506, 529, 533, 547, 548, 551, 562, 564, 566, 581, 582, 583, 586, 592, 593, 599, 600, 615, 616, 620, 621, 629, 632, 633, 634, 643, 667, 677, 685, 686, 692, 699, 703, 705, 709, 717, 718, 719, 740, 741, 745, 748, 750, 754, 757, 761, 762, 764, 765, 766, 767, 768, 769, 774, 775, 776, 781, 782, 783, 784, 787, 788, 798, 800, 801, 802, 804, 807, 808, 816, 817, 821, 829, 831, 836, 837, 838, 839, 840, 841, 842, 843, 844, 857, 862, 866, 877, 879, 880, 883, 884, 885, 886, 888, 889, 890, 894, 895, 896, 898, 900, 902, 903, 904, 906, 907, 908, 910, 912, 913, 938, 944, 953, 956, 957, 970, 997, 1010, 1013, 1031, 1043, 1052, 1068, 1069, 1071, 1072, 1076, 1078, 1085, 1108, 1117, 1118, 1125, 1141, 1142, 1145, 1146, 1148, 1149, 1152, 1154, 1158, 1164, 1168, 1178, 1179, 1181, 1183, 1187, 1188, 1194, 1199, 1200, 1203, 1205, 1207, 1208, 1211, 1221, 1225, 1237, 1238, 1240, 1242, 1243, 1244, 1248, 1249, 1255, 1260, 1261, 1264, 1267, 1269, 1270, 1272, 1275, 1280, 1289, 1300, 1302, 1304, 1305, 1310, 1311, 1312, 1313, 1318, 1319, 1320, 1321, 1322, 1327, 1328, 1329, 1330, 1335, 1336, 1337, 1343, 1344, 1345, 1348, 1350, 1354, 1371, 1374, 1380, 1381, 1387, 1388, 1389, 1390, 1391, 1394, 1400, 1402, 1403, 1406, 1407, 1415, 1416, 1421, 1422, 1423, 1424, 1431, 1433, 1436, 1444, 1445, 1446, 1447, 1448, 1453, 1454, 1455, 1458, 1459, 1462, 1463, 1464, 1467, 1469, 1470, 1472, 1473, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1484, 1485, 1486, 1487, 1488, 1490, 1495, 1497, 1498, 1499, 1501, 1578, 1598, 1657, 1677, 1699, 1720, 1741, 1758, 1793, 1815, 1839, 1876, 1894, 1912, 1964, 2018, 2163, 2166, 2167, 2174, 2180, 2184, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2196, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2238, 2239, 2241, 2246, 2247, 2249, 2250, 2253, 2255, 2256, 2257, 2258, 2259, 2261, 2262, 2263, 2264, 2265, 2273, 2277, 2278, 2283, 2294, 2297, 2301, 2302, 2307, 2308], "cancel": 6, "cancer": 2207, "candid": [13, 2205], "candidate_only_group": 2199, "cane": 2200, "cannot": [1, 2, 10, 15, 16, 19, 34, 44, 49, 77, 114, 125, 176, 184, 203, 207, 212, 223, 258, 268, 288, 296, 318, 326, 334, 377, 383, 389, 434, 491, 639, 652, 673, 680, 701, 754, 757, 781, 787, 798, 857, 866, 889, 929, 940, 943, 948, 957, 970, 972, 997, 1031, 1040, 1052, 1053, 1076, 1078, 1118, 1167, 1194, 1224, 1242, 1243, 1255, 1359, 1367, 1372, 1387, 1398, 1406, 1415, 1423, 1433, 1453, 1469, 1476, 1486, 1498, 2167, 2185, 2186, 2187, 2188, 2192, 2193, 2197, 2198, 2199, 2201, 2207, 2208, 2210, 2211, 2215, 2220, 2222, 2225, 2228, 2229, 2230, 2231, 2232, 2233, 2235, 2238, 2241, 2245, 2246, 2249, 2265, 2267, 2271, 2277, 2283, 2289, 2294, 2298, 2307], "cannot_infer_bad": 2, "cannot_infer_good": 2, "cannotsendhead": [16, 17, 18, 19, 2199, 2235], "canon": 1462, "cap": [91, 1458, 2211, 2283], "capabl": [2191, 2199, 2210, 2254, 2256, 2271, 2289], "capac": 268, "capit": [3, 34, 820, 836, 837, 838, 839, 840, 841, 842, 843, 844, 848, 869, 870, 872, 1123, 1124, 2198, 2208, 2226, 2246, 2271, 2277], "capitalis": 2271, "capprop": 2271, "capsiz": 2211, "caption": [259, 890, 1394, 1400, 1402, 1417, 1432, 1433, 2196, 2265, 2289], "captiv": [134, 709], "captur": [2, 828, 829, 2166, 2195, 2208, 2210, 2230], "car": [417, 439], "carbon": 30, "card": 2207, "cardin": [2205, 2239], "care": [2, 8, 10, 12, 13, 15, 44, 82, 278, 282, 331, 346, 593, 686, 904, 1152, 1211, 2190, 2195, 2197, 2199, 2207, 2220, 2260], "carefulli": 2240, "carib": 852, "carl": [2195, 2220], "carnivor": 211, "carnivora": 2195, "carol": 599, "carri": [6, 32, 286, 540, 2186, 2199, 2217], "cartesian": [153, 169, 478, 485, 486, 487, 488, 1446, 2195, 2200, 2206, 2219, 2241], "cartesian_product": [2232, 2235], "cartopi": [10, 1069, 1071, 1072], "cascad": 2207, "case": [2, 3, 6, 9, 10, 13, 15, 18, 24, 25, 29, 30, 31, 34, 77, 80, 91, 92, 136, 137, 145, 151, 162, 165, 166, 186, 188, 195, 203, 209, 210, 212, 225, 230, 232, 240, 241, 248, 270, 274, 278, 285, 316, 331, 365, 401, 434, 481, 517, 533, 568, 592, 616, 670, 686, 712, 713, 743, 744, 762, 764, 770, 783, 784, 787, 789, 800, 804, 806, 816, 819, 820, 823, 828, 829, 831, 832, 836, 837, 838, 839, 840, 841, 842, 843, 844, 848, 850, 857, 862, 866, 869, 870, 872, 881, 904, 905, 913, 916, 953, 1042, 1052, 1056, 1064, 1117, 1118, 1146, 1148, 1149, 1152, 1154, 1168, 1173, 1188, 1192, 1203, 1207, 1208, 1211, 1230, 1249, 1253, 1264, 1298, 1299, 1306, 1308, 1323, 1325, 1340, 1345, 1391, 1395, 1397, 1398, 1400, 1403, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1415, 1416, 1418, 1430, 1458, 1469, 1470, 1482, 1483, 1484, 1486, 1488, 1490, 1498, 2166, 2184, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2198, 2199, 2200, 2201, 2202, 2204, 2205, 2206, 2207, 2208, 2210, 2211, 2212, 2214, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2230, 2231, 2232, 2235, 2238, 2240, 2241, 2242, 2246, 2249, 2250, 2254, 2256, 2257, 2261, 2263, 2265, 2267, 2271, 2272, 2273, 2274, 2277, 2278, 2279, 2281, 2283, 2284, 2286, 2287, 2289, 2291, 2293, 2294, 2296, 2298, 2302, 2307, 2308], "case_sensit": 3, "case_when": 2307, "casefold": [819, 848, 869, 870, 872, 2208, 2249], "caselist": [603, 2307], "cast": [2, 3, 82, 97, 163, 209, 270, 284, 326, 364, 434, 490, 563, 593, 620, 680, 741, 898, 912, 1031, 1043, 1045, 1064, 1372, 1387, 1493, 1498, 1499, 1500, 2166, 2186, 2194, 2197, 2198, 2199, 2201, 2204, 2210, 2211, 2212, 2216, 2217, 2220, 2222, 2230, 2231, 2232, 2235, 2238, 2239, 2241, 2246, 2249, 2261, 2265, 2269, 2271, 2274, 2275, 2277, 2279, 2284, 2286, 2289, 2292, 2294, 2295, 2299, 2302, 2306, 2307], "castabl": 2294, "casted_kei": [2185, 2191, 2194], "castellana": 32, "casualti": 2194, "caswel": 2248, "cat": [3, 40, 41, 42, 43, 45, 51, 52, 53, 54, 57, 61, 62, 99, 102, 155, 156, 205, 210, 219, 241, 281, 285, 376, 494, 699, 730, 731, 740, 778, 784, 785, 824, 827, 832, 845, 849, 863, 867, 868, 913, 1060, 1146, 1155, 1158, 1224, 1265, 1365, 1373, 1384, 1388, 1433, 1441, 1442, 1449, 1450, 2167, 2180, 2184, 2185, 2186, 2188, 2195, 2199, 2204, 2206, 2208, 2222, 2224, 2225, 2226, 2228, 2229, 2232, 2238, 2246, 2249, 2265, 2271, 2283, 2287, 2294, 2298, 2307], "cat1": 2241, "cat2": 2241, "cat_bas": 2188, "cat_base2": 2188, "cat_dtyp": [82, 593], "cat_typ": [47, 48, 2188], "cata": 2222, "catb": 2222, "catch": [2, 367, 429, 1499, 2197, 2217, 2218, 2235, 2261, 2307], "catchal": 1078, "categor": [2, 3, 9, 10, 12, 15, 23, 28, 35, 46, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 60, 61, 62, 82, 107, 134, 168, 169, 185, 188, 224, 268, 354, 376, 391, 392, 393, 394, 395, 398, 399, 420, 436, 445, 586, 590, 593, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 629, 699, 709, 764, 799, 834, 893, 905, 908, 1031, 1039, 1060, 1078, 1081, 1082, 1090, 1117, 1164, 1221, 1342, 1343, 1345, 1388, 1389, 1390, 1391, 1436, 1440, 1446, 1454, 1467, 1481, 1485, 1488, 1490, 1494, 1495, 1496, 2163, 2164, 2165, 2185, 2186, 2191, 2194, 2196, 2200, 2202, 2204, 2205, 2206, 2211, 2213, 2217, 2223, 2224, 2226, 2227, 2229, 2230, 2231, 2233, 2242, 2243, 2248, 2261, 2262, 2266, 2267, 2269, 2274, 2278, 2279, 2282, 2288, 2290, 2292, 2299, 2300, 2304], "categori": [1, 2, 10, 12, 15, 21, 39, 40, 42, 43, 44, 45, 46, 48, 49, 50, 51, 54, 55, 56, 57, 58, 59, 60, 61, 62, 82, 107, 168, 176, 185, 188, 189, 224, 262, 376, 384, 392, 399, 400, 420, 462, 494, 590, 593, 604, 605, 606, 609, 610, 611, 612, 613, 614, 615, 629, 699, 764, 765, 799, 893, 905, 909, 1031, 1060, 1078, 1117, 1118, 1128, 1164, 1221, 1342, 1343, 1345, 1386, 1388, 1389, 1390, 1391, 1454, 1463, 1467, 1485, 1488, 1490, 1496, 2163, 2167, 2184, 2185, 2186, 2191, 2194, 2195, 2196, 2199, 2202, 2204, 2205, 2208, 2222, 2224, 2225, 2226, 2227, 2228, 2229, 2231, 2232, 2235, 2236, 2237, 2238, 2239, 2240, 2242, 2246, 2248, 2249, 2265, 2266, 2271, 2274, 2277, 2278, 2283, 2287, 2288, 2289, 2294, 2295, 2298, 2302, 2307], "categoricalblock": 2298, "categoricalconversionwarn": [2294, 2298], "categoricaldtyp": [2, 10, 39, 43, 44, 49, 82, 392, 593, 1082, 1118, 2167, 2185, 2186, 2195, 2196, 2199, 2232, 2239, 2246, 2249, 2265, 2276, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "categoricalindex": [4, 39, 41, 42, 45, 354, 392, 604, 606, 607, 608, 610, 614, 615, 1082, 1117, 2172, 2188, 2227, 2228, 2230, 2231, 2232, 2235, 2238, 2239, 2241, 2242, 2246, 2249, 2265, 2271, 2272, 2275, 2277, 2283, 2289, 2294, 2298, 2302, 2307, 2308], "categories_dtyp": [43, 2188, 2195, 2241, 2249, 2265], "catfish": [1186, 1195, 1196, 1247, 1256, 1257, 1292], "catherin": 32, "cats2": 2188, "catwoman": 114, "caught": [367, 429, 2197, 2232, 2233], "caus": [2, 5, 10, 34, 66, 278, 331, 342, 686, 904, 911, 1064, 1118, 1469, 1486, 1498, 2185, 2191, 2193, 2194, 2197, 2199, 2200, 2202, 2210, 2214, 2215, 2218, 2219, 2220, 2222, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2241, 2242, 2243, 2245, 2246, 2248, 2249, 2252, 2260, 2263, 2265, 2269, 2271, 2273, 2274, 2275, 2277, 2278, 2279, 2283, 2287, 2289, 2292, 2293, 2294, 2295, 2298, 2299, 2302, 2307, 2308], "caution": [2190, 2199], "caveat": [169, 1446, 2188, 2197, 2222, 2224, 2307, 2309], "cba": [604, 2193, 2241, 2249], "cbad": 2241, "cbh": [1677, 2210, 2307], "cbm": [1699, 2210, 2307], "cbme": [1720, 2210, 2307], "cbmonthbegin": 2210, "cbmonthend": 2210, "cc": [856, 2208, 2211, 2241], "cca": 2208, "ccc": [856, 2218, 2226], "cd": [1, 5, 6, 8, 13, 2199, 2211, 2217, 2246], "cdai": 2210, "cdata": 2199, "cdate_rang": [2238, 2249], "cdef": 2193, "cdot": [1455, 2212], "cdt": 2241, "ceil": [213, 316, 345, 670, 788, 2210, 2230, 2243, 2246, 2283], "ceil_mid": 2210, "cell": [15, 16, 17, 18, 19, 101, 180, 253, 623, 886, 1345, 1391, 1394, 1398, 1403, 1404, 1418, 1419, 1423, 1431, 1432, 1433, 1470, 1475, 1488, 1490, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2197, 2200, 2201, 2202, 2203, 2205, 2208, 2210, 2212, 2225, 2229, 2230, 2232, 2235, 2246, 2249, 2265, 2271, 2274, 2277, 2283, 2286, 2289, 2294, 2298, 2302, 2307], "cell_bord": 2207, "cell_color": 2207, "cell_hov": 2207, "cell_id": [1394, 1422, 1423, 2272], "cellcolor": 1433, "cellloc": 1466, "cellstyl": 2207, "celsiu": 27, "center": [10, 121, 186, 218, 257, 259, 269, 696, 762, 793, 847, 852, 860, 874, 890, 1069, 1071, 1072, 1073, 1188, 1193, 1249, 1254, 1272, 1275, 1336, 1398, 1433, 1466, 2207, 2208, 2220, 2222, 2225, 2230, 2232, 2271, 2272, 2277, 2285, 2289, 2294, 2298], "cento": 5, "central": [107, 278, 286, 330, 331, 629, 685, 686, 904, 1014, 1164, 1221, 1345, 1391, 1398, 1433, 1488, 1490, 2199, 2202, 2220, 2246], "centric": 2199, "centuri": 532, "cereal": [359, 360, 587, 588], "certain": [0, 10, 15, 22, 25, 32, 68, 111, 112, 116, 218, 276, 363, 577, 793, 862, 866, 902, 1193, 1254, 1345, 1391, 1470, 1475, 1487, 1488, 1490, 1741, 1793, 1815, 2186, 2188, 2190, 2192, 2193, 2195, 2197, 2199, 2202, 2207, 2209, 2210, 2211, 2214, 2215, 2216, 2217, 2218, 2220, 2221, 2222, 2223, 2224, 2225, 2227, 2228, 2233, 2235, 2238, 2241, 2242, 2246, 2247, 2265, 2267, 2273, 2275, 2283, 2287, 2289, 2292, 2294, 2296, 2302, 2304, 2307, 2308], "certainli": 2199, "cet": [278, 331, 575, 686, 893, 904, 1004, 1012, 1016, 2186, 2210, 2228, 2246], "cflag": 8, "cftimeindex": 2269, "cfun": 2199, "ch": [864, 2218], "chain": [5, 10, 16, 17, 18, 19, 35, 141, 183, 227, 717, 761, 802, 1187, 1248, 1289, 1345, 1350, 1380, 1381, 1391, 1400, 1406, 1415, 1416, 1488, 1490, 2185, 2186, 2193, 2195, 2196, 2199, 2202, 2207, 2212, 2218, 2219, 2220, 2222, 2225, 2227, 2230, 2235, 2249, 2277, 2293, 2296, 2297, 2298], "chainabl": [183, 761], "chained_assign": [1345, 1380, 1381, 1391, 1488, 1490, 2194, 2197, 2202, 2218, 2222], "chainedassignmenterror": [2190, 2307], "challeng": [2185, 2199], "chameleon": 864, "chanc": [1, 2186], "chang": [0, 2, 3, 5, 6, 10, 11, 13, 14, 18, 21, 25, 31, 34, 37, 38, 42, 54, 61, 62, 63, 74, 81, 82, 85, 90, 91, 97, 98, 99, 100, 102, 108, 110, 134, 137, 143, 163, 169, 182, 185, 186, 190, 193, 202, 203, 205, 207, 208, 209, 210, 212, 213, 214, 223, 225, 226, 227, 228, 242, 251, 253, 255, 258, 259, 264, 268, 270, 272, 274, 276, 277, 278, 280, 283, 284, 286, 321, 330, 331, 337, 341, 354, 415, 421, 494, 503, 573, 583, 593, 596, 599, 602, 603, 614, 615, 620, 621, 630, 633, 634, 685, 686, 709, 713, 718, 719, 741, 760, 762, 766, 768, 778, 781, 782, 783, 784, 787, 788, 798, 800, 801, 802, 817, 880, 884, 886, 889, 890, 894, 898, 902, 903, 904, 910, 911, 912, 915, 956, 973, 1013, 1032, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1143, 1144, 1148, 1149, 1152, 1155, 1156, 1158, 1173, 1174, 1175, 1178, 1179, 1180, 1181, 1183, 1186, 1188, 1189, 1190, 1194, 1195, 1196, 1199, 1200, 1203, 1205, 1207, 1208, 1211, 1230, 1237, 1238, 1239, 1240, 1244, 1247, 1249, 1250, 1251, 1255, 1256, 1257, 1260, 1261, 1264, 1267, 1283, 1284, 1290, 1292, 1294, 1295, 1297, 1344, 1345, 1374, 1387, 1391, 1394, 1395, 1398, 1405, 1415, 1431, 1433, 1446, 1454, 1458, 1469, 1470, 1473, 1476, 1478, 1479, 1486, 1487, 1488, 1490, 1493, 1494, 1496, 1499, 1500, 1598, 1677, 2167, 2169, 2180, 2184, 2186, 2187, 2188, 2190, 2191, 2192, 2194, 2195, 2197, 2198, 2199, 2201, 2202, 2207, 2208, 2210, 2211, 2213, 2234, 2239, 2242, 2244, 2248, 2250, 2251, 2252, 2266, 2267, 2268, 2269, 2270, 2272, 2273, 2275, 2276, 2278, 2279, 2280, 2281, 2282, 2284, 2285, 2286, 2287, 2288, 2290, 2291, 2292, 2293, 2295, 2296, 2297, 2299, 2300, 2301, 2303, 2304, 2305, 2306, 2308, 2309, 2310], "changelog": [2246, 2247, 2248, 2249, 2250, 2251, 2252, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, 2310], "channel": [0, 1, 13], "chapter": [35, 2197], "char": [15, 62, 615, 852, 1166, 1223, 2225, 2234], "charact": [16, 17, 19, 23, 24, 31, 32, 148, 149, 177, 178, 203, 251, 257, 259, 268, 269, 402, 413, 532, 725, 726, 755, 756, 819, 820, 822, 823, 824, 825, 826, 827, 832, 836, 837, 838, 839, 840, 841, 842, 843, 844, 846, 847, 848, 849, 850, 852, 857, 860, 862, 863, 866, 867, 868, 869, 870, 871, 872, 873, 874, 884, 890, 1345, 1374, 1389, 1391, 1394, 1403, 1404, 1432, 1433, 1434, 1468, 1469, 1470, 1475, 1486, 1488, 1490, 2166, 2186, 2193, 2194, 2201, 2202, 2208, 2214, 2216, 2217, 2218, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2228, 2232, 2233, 2235, 2237, 2238, 2241, 2246, 2249, 2265, 2271, 2277, 2289, 2291, 2294, 2298, 2302], "character": 445, "characterist": 24, "chararrai": 15, "charli": 2205, "chart": [188, 189, 190, 764, 765, 766, 1398, 1470, 2196, 2235, 2289], "chat": 0, "cheat": [21, 2234], "check": [1, 2, 4, 5, 6, 8, 12, 13, 18, 21, 22, 23, 24, 25, 26, 27, 30, 32, 36, 62, 75, 80, 81, 147, 153, 163, 169, 228, 256, 284, 346, 384, 386, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 420, 445, 447, 448, 453, 454, 455, 461, 469, 473, 478, 500, 501, 584, 592, 603, 615, 741, 799, 836, 837, 838, 839, 840, 841, 842, 843, 844, 888, 912, 976, 977, 978, 979, 1076, 1079, 1081, 1082, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1093, 1095, 1097, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1110, 1111, 1112, 1113, 1114, 1115, 1127, 1136, 1141, 1146, 1184, 1345, 1354, 1370, 1391, 1441, 1442, 1446, 1449, 1450, 1475, 1482, 1483, 1488, 1490, 1493, 1494, 1495, 1496, 1499, 1512, 1530, 1548, 1566, 1586, 1607, 1626, 1643, 1665, 1686, 1707, 1728, 1747, 1765, 1782, 1801, 1823, 1846, 1863, 1883, 1901, 1919, 1936, 1953, 1971, 1988, 2006, 2025, 2043, 2061, 2079, 2096, 2114, 2133, 2151, 2168, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2208, 2211, 2217, 2218, 2220, 2222, 2224, 2225, 2227, 2228, 2229, 2230, 2231, 2232, 2234, 2235, 2238, 2240, 2241, 2246, 2253, 2255, 2261, 2265, 2271, 2277, 2279, 2283, 2289, 2294, 2298, 2302, 2307, 2308], "check_array_index": 2172, "check_categor": [1494, 1495, 1496, 2242], "check_category_ord": 1496, "check_column_typ": 1494, "check_datetimelike_compat": [1494, 1496], "check_dict_or_set_index": 2197, "check_dtyp": [1493, 1494, 1496, 2271, 2272, 2299], "check_dtype_backend": 2199, "check_exact": [1493, 1494, 1495, 1496, 2272, 2277, 2307, 2308], "check_extens": 2294, "check_flag": [1494, 1496, 2290], "check_frame_typ": 1494, "check_freq": [1494, 1496, 2278], "check_index": 1496, "check_index_typ": [1494, 1496], "check_less_precis": 2298, "check_lik": [1494, 1496, 2278, 2294, 2295], "check_nam": [1494, 1495, 1496], "check_ord": [1495, 2277, 2278, 2292, 2294], "check_series_typ": [1496, 2271], "check_str_or_non": 2197, "checker": [2, 2302], "checkout": [1, 13], "chees": [15, 420, 799, 2204], "cheetah": [1178, 1181, 1189, 1200, 1237, 1240, 1250, 1261], "chi": 718, "chicag": 2186, "chicago": [17, 18, 718, 2186, 2199], "chicken": [137, 186, 762, 1173, 1188, 1249], "chihuahua": 1265, "child": [353, 875, 876, 877, 1400, 1487, 2186, 2199, 2274, 2294, 2298], "child_elem": 1487, "childa": 3, "childb": 3, "children": [3, 24, 25, 28, 29, 32, 272, 348, 2199], "chime": 13, "chines": [35, 2294], "chirp": 1365, "chn": 2191, "choic": [3, 5, 25, 144, 223, 233, 234, 589, 798, 807, 808, 1194, 1255, 1469, 1486, 1498, 2185, 2188, 2194, 2195, 2196, 2202, 2205, 2210, 2211, 2213, 2227, 2230, 2235, 2238, 2253], "choiceload": 2207, "choos": [5, 6, 8, 30, 77, 94, 118, 132, 134, 135, 159, 161, 175, 205, 214, 247, 263, 280, 617, 709, 778, 880, 2186, 2194, 2197, 2199, 2204, 2210, 2211, 2222, 2230, 2235], "chop": [2202, 2229], "chop_threshold": [1345, 1391, 1488, 1490, 2202, 2216], "chose": 2191, "chosen": [107, 192, 238, 253, 282, 363, 629, 886, 1148, 1149, 1164, 1203, 1207, 1208, 1221, 1264, 1431, 2186, 2194, 2199, 2201, 2206, 2210, 2289], "chri": 2248, "christma": 2289, "christoph": 35, "chrome": [207, 781], "chromium": 6, "chromosom": 2235, "chunk": [16, 17, 18, 19, 22, 255, 346, 1203, 1264, 1354, 1469, 1472, 1482, 1483, 1484, 1485, 1486, 2186, 2195, 2196, 2218, 2222, 2230, 2235, 2246, 2254, 2283, 2289, 2302, 2307], "chunk1": 2199, "chunk2": 2199, "chunked_arrai": 2302, "chunkedarrai": [10, 1068, 1119, 1120, 2283, 2294], "chunkshap": 2199, "chunksiz": [16, 17, 18, 19, 251, 254, 255, 267, 346, 352, 884, 896, 1349, 1469, 1472, 1474, 1476, 1480, 1482, 1483, 1484, 1485, 1486, 2199, 2203, 2205, 2215, 2216, 2217, 2221, 2222, 2228, 2232, 2235, 2238, 2246, 2254, 2271, 2275, 2277, 2278, 2283, 2298, 2307], "chunkwis": 2205, "ci": [0, 1, 2, 4, 13, 41, 42, 45, 49, 51, 52, 53, 54, 55, 57, 61, 62, 606, 607, 608, 610, 614, 615, 2218, 2219, 2246, 2276], "ci0": 9, "ci1": 9, "ci2": 55, "ci2_ord": 55, "ci3": 55, "ci4": 55, "ci5": 55, "ci6": 55, "ci_ord": 55, "cidx": 1433, "cimport": 2193, "cin": [9, 2191, 2197, 2231], "cinnamon": [359, 360, 587, 588], "circa": 2228, "circl": [69, 109, 129, 171, 173, 197, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 272, 275, 1463, 1487, 2199, 2211, 2283, 2294], "circumst": [2199, 2232, 2235, 2246], "circumv": 2190, "cirilje01": 2191, "citi": [18, 29, 31, 586, 718, 1397, 1430, 2199], "city_and_cod": 2186, "city_and_countri": 2186, "city_nam": 2186, "city_seri": 718, "cityc": 2199, "cl": [12, 438, 1037, 1038, 1070, 1346, 2194, 2199, 2201, 2203, 2207, 2249, 2283, 2294, 2298, 2302, 2307], "claim": 2220, "clang": [2, 2229], "clarifi": [1, 34, 207, 209, 210, 781, 784, 2217, 2220, 2228, 2230, 2246, 2271, 2294, 2298], "clariti": 2241, "clark": 2199, "class": [2, 3, 4, 10, 12, 16, 17, 24, 25, 28, 29, 32, 34, 37, 38, 39, 46, 49, 63, 91, 141, 144, 193, 195, 198, 210, 211, 214, 249, 252, 253, 257, 271, 285, 286, 334, 337, 341, 342, 343, 344, 345, 349, 354, 364, 423, 440, 441, 442, 443, 444, 445, 457, 459, 478, 500, 509, 510, 538, 540, 568, 573, 717, 768, 770, 784, 882, 885, 886, 899, 913, 914, 915, 916, 919, 922, 929, 938, 953, 995, 1027, 1028, 1029, 1030, 1031, 1035, 1040, 1052, 1068, 1069, 1070, 1071, 1072, 1073, 1074, 1075, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1140, 1141, 1142, 1143, 1144, 1176, 1198, 1202, 1233, 1263, 1279, 1338, 1339, 1340, 1341, 1345, 1346, 1354, 1391, 1394, 1402, 1405, 1420, 1421, 1422, 1423, 1431, 1432, 1435, 1451, 1455, 1458, 1461, 1488, 1490, 1494, 1495, 1496, 1506, 1524, 1542, 1560, 1578, 1598, 1620, 1637, 1657, 1677, 1699, 1720, 1741, 1758, 1776, 1793, 1815, 1839, 1857, 1876, 1894, 1912, 1930, 1947, 1964, 1982, 2000, 2018, 2036, 2054, 2072, 2090, 2108, 2127, 2145, 2166, 2167, 2172, 2183, 2184, 2185, 2186, 2188, 2191, 2194, 2195, 2196, 2197, 2200, 2201, 2202, 2206, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2222, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2248, 2249, 2250, 2254, 2257, 2261, 2263, 2265, 2271, 2277, 2283, 2289, 2298, 2302, 2307], "class_23": 25, "class_column": [1455, 1461, 1463], "class_inst": 1346, "class_without_autosummari": 4, "classic": [39, 46, 1389, 2199], "classmethod": [44, 130, 131, 237, 462, 463, 464, 485, 486, 487, 488, 526, 552, 553, 569, 812, 958, 972, 973, 993, 1000, 1010, 1018, 1019, 1033, 1036, 1037, 1038, 1128, 1129, 1130, 1346, 1405], "claus": [18, 19, 34, 267, 896, 2199, 2220, 2229, 2230, 2235, 2246], "claytro01": 2191, "clean": [2, 4, 11, 21, 34, 2186, 2192, 2199, 2208, 2218, 2220, 2231, 2232, 2235, 2238], "cleaner": [2195, 2307], "cleanli": [15, 2199], "cleanup": [1, 1475, 2246], "clear": [1, 3, 4, 13, 14, 19, 1146, 1433, 2186, 2194, 2199, 2208, 2218, 2221, 2228, 2246, 2249, 2261, 2263, 2265, 2283, 2307], "clearer": [1148, 1149, 2186, 2195, 2249], "clearli": [2, 13], "clemero02": 2191, "clever": [2186, 2257], "cli": 22, "click": [1, 2, 4, 6, 17, 2227], "clickabl": [1403, 1404], "client": [16, 17, 18, 19, 2199, 2215, 2221, 2228, 2235], "client_kwarg": 2199, "cline": [259, 890, 1433, 2289, 2294], "clip": [1345, 1391, 1398, 1488, 1490, 2184, 2202, 2218, 2222, 2226, 2230, 2236, 2238, 2241, 2245, 2246, 2283, 2298, 2302, 2307], "clip_low": [2226, 2246, 2265], "clip_upp": [2226, 2246, 2265], "clipboard": [63, 250, 883, 1378, 1379, 1468, 2172, 2196, 2218, 2220, 2234, 2236, 2249, 2255, 2258, 2298], "clipdf": 2199, "cln": 1, "clock": [278, 286, 288, 296, 318, 331, 532, 617, 639, 652, 673, 686, 904, 940, 943, 948, 953, 957, 970, 997, 1014, 2210], "clockwis": [137, 1173], "clone": [1, 2, 5, 13, 2220], "clongdoubl": 2186, "close": [3, 6, 11, 88, 213, 218, 286, 341, 345, 346, 347, 348, 349, 350, 352, 353, 445, 447, 448, 449, 450, 451, 453, 454, 455, 456, 457, 458, 459, 462, 463, 464, 467, 468, 469, 473, 475, 599, 600, 788, 793, 938, 1073, 1099, 1125, 1128, 1129, 1130, 1131, 1132, 1136, 1138, 1145, 1185, 1192, 1193, 1246, 1253, 1254, 1288, 1343, 1344, 1351, 1393, 1403, 1407, 1411, 1474, 1482, 1497, 2184, 2185, 2186, 2197, 2199, 2203, 2204, 2210, 2211, 2212, 2214, 2216, 2217, 2218, 2224, 2225, 2231, 2232, 2233, 2235, 2238, 2239, 2241, 2246, 2249, 2261, 2265, 2267, 2272, 2273, 2277, 2278, 2282, 2289, 2292, 2294, 2298, 2302, 2307], "closed": 2235, "closed_left": [448, 453], "closed_right": [447, 454], "closedfileerror": [2199, 2218, 2238, 2294], "closer": [3, 1463, 2211], "closest": [68, 278, 288, 296, 318, 331, 577, 639, 652, 673, 686, 904, 940, 943, 948, 957, 970, 997, 1014, 1447, 1793, 1815, 2210, 2298], "closur": [267, 896, 1482], "cloud": [1473, 2199, 2218, 2246, 2249, 2271, 2277], "cls1": 2207, "cls2": 2207, "cls3": 2207, "clump": 1142, "cluster": [1455, 1463, 2205, 2211, 2222], "clutter": 2271, "cm": [203, 864, 1398, 2207, 2211, 2217], "cmap": [192, 1397, 1398, 1430, 1433, 2207, 2211, 2229, 2271], "cmd": [5, 6], "co": [30, 1455, 2193, 2199, 2228], "co2_emiss": [139, 140, 1174, 1175], "cobra": [160, 418, 421, 738], "cockatoo": 1198, "cocoa": [359, 360, 587, 588], "code": [0, 3, 4, 5, 6, 8, 10, 11, 12, 13, 14, 15, 18, 22, 27, 34, 39, 44, 56, 111, 120, 188, 189, 195, 197, 203, 291, 314, 376, 478, 481, 482, 500, 501, 503, 633, 643, 667, 699, 764, 765, 770, 1031, 1036, 1043, 1051, 1069, 1071, 1072, 1148, 1149, 1178, 1179, 1181, 1199, 1200, 1203, 1205, 1207, 1208, 1237, 1238, 1240, 1260, 1261, 1264, 1267, 1300, 1302, 1305, 1310, 1311, 1312, 1313, 1318, 1319, 1320, 1322, 1327, 1328, 1329, 1330, 1335, 1336, 1337, 1387, 1388, 1389, 1390, 1391, 1415, 1433, 1488, 1490, 1741, 2166, 2167, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2196, 2197, 2199, 2202, 2204, 2207, 2208, 2214, 2218, 2222, 2223, 2225, 2227, 2228, 2230, 2231, 2232, 2235, 2238, 2239, 2241, 2246, 2253, 2254, 2255, 2257, 2261, 2263, 2265, 2267, 2277, 2283, 2289, 2294, 2298, 2307], "code_check": 2, "code_obj": 2193, "codebas": 2, "codeblock": 2202, "codec": [16, 17, 18, 19, 2199, 2235, 2278, 2279], "coef": [2186, 2227], "coeffici": [99, 100, 622, 1155, 1156, 1213, 1455, 2211], "coerc": [261, 276, 376, 590, 699, 893, 902, 916, 1031, 1064, 1388, 1498, 1499, 1500, 2186, 2194, 2198, 2199, 2201, 2210, 2216, 2218, 2220, 2222, 2223, 2224, 2225, 2228, 2230, 2231, 2232, 2234, 2235, 2238, 2239, 2241, 2242, 2246, 2248, 2249, 2264, 2265, 2271, 2290, 2294, 2298, 2299, 2302], "coerce_float": [131, 1482, 1483, 1484, 2259], "coerce_timestamp": 2271, "coercibl": [280, 907, 2230, 2231], "coercion": [10, 2209, 2216, 2222, 2223, 2225, 2228, 2231, 2233, 2246, 2289, 2302], "coerciv": 2238, "coexist": [2186, 2216], "coher": 2220, "coincid": [2208, 2235], "col": [15, 34, 82, 90, 95, 234, 253, 258, 593, 602, 812, 886, 889, 1394, 1416, 1421, 1431, 1461, 1476, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2207, 2219, 2220, 2225, 2230, 2232, 2238, 2246, 2249, 2257, 2271, 2273, 2283, 2298, 2302, 2307], "col0": [145, 1422, 1432, 2185, 2207], "col1": [15, 16, 17, 18, 19, 63, 64, 75, 82, 86, 91, 96, 145, 174, 186, 229, 230, 231, 234, 252, 255, 257, 262, 263, 269, 270, 274, 584, 593, 762, 804, 1188, 1249, 1389, 1390, 1432, 1458, 2185, 2186, 2197, 2199, 2200, 2207, 2211, 2226, 2228, 2232, 2235, 2246, 2263, 2271, 2294], "col1_0": [230, 804], "col1_1": [230, 804], "col1_2": [230, 804], "col1_a": [1389, 1390, 2294], "col1_b": [1389, 1390, 2294], "col1_doubl": 2193, "col2": [15, 18, 63, 64, 75, 82, 86, 91, 96, 145, 174, 186, 229, 230, 231, 234, 252, 257, 262, 263, 269, 270, 274, 584, 593, 762, 804, 1188, 1249, 1389, 1390, 1458, 2186, 2197, 2199, 2200, 2207, 2211, 2228, 2232, 2235, 2246, 2263, 2271, 2294], "col2_a": [1389, 1390, 2294], "col2_b": [1389, 1390, 2294], "col2_c": [1389, 1390, 2294], "col3": [15, 91, 96, 229, 230, 234, 804, 1458, 2199, 2200, 2211, 2232, 2235, 2271], "col4": [91, 234, 1458], "col_": [70, 579], "col_0": [92, 616, 1342, 2204], "col_1": [92, 130, 131, 616, 1438, 1439, 2199, 2224], "col_2": [130, 131, 1438, 1439, 2199], "col_3": 2199, "col_a": [70, 579, 2193], "col_b": [70, 579, 2193], "col_dict": 2199, "col_fil": 214, "col_head": [1394, 1421, 1422, 1432, 2207, 2232], "col_index": [2218, 2222], "col_left": [2200, 2228], "col_level": [167, 214, 1445, 2271], "col_n": 2193, "col_on": 15, "col_ord": 1473, "col_right": [2200, 2228], "col_spac": [257, 269, 2199, 2222, 2228, 2232, 2249, 2271, 2298], "col_trim": [1394, 1421, 2207], "cold": [164, 170, 245, 742, 746, 879], "cole": 1443, "coleen": [1443, 2199], "colheader_justifi": [1345, 1391, 1488, 1490, 2202], "colindex": 2199, "collabel": 1466, "collabor": [1, 34], "collaps": 19, "colleagu": 24, "collect": [2, 5, 13, 16, 19, 22, 29, 241, 252, 358, 479, 740, 846, 885, 1094, 1102, 1387, 1397, 1411, 1430, 1487, 2167, 2191, 2195, 2197, 2199, 2200, 2210, 2212, 2216, 2223, 2232, 2235, 2238, 2249, 2250, 2265, 2271, 2283, 2302, 2308], "collid": [9, 2207], "collinear": 2204, "collis": [1394, 2277], "colnam": [1342, 2195, 2197, 2204], "colon": [3, 25, 1403, 2241, 2291], "color": [3, 5, 186, 188, 189, 195, 197, 401, 478, 482, 484, 485, 487, 488, 762, 764, 765, 770, 1182, 1188, 1241, 1249, 1348, 1384, 1395, 1396, 1397, 1398, 1399, 1400, 1407, 1408, 1409, 1410, 1411, 1413, 1414, 1415, 1418, 1421, 1423, 1430, 1433, 1455, 1461, 1462, 1463, 2197, 2207, 2211, 2217, 2218, 2219, 2220, 2222, 2226, 2228, 2229, 2230, 2235, 2236, 2237, 2238, 2246, 2265, 2271, 2277, 2283, 2294, 2296, 2297, 2302], "color_b": [1396, 1414], "color_neg": [1398, 1413, 2207, 2235], "color_posit": [1398, 2207, 2235], "colorbar": [186, 762, 1188, 1249, 2211, 2222, 2246, 2271], "colormap": [186, 197, 762, 1188, 1249, 1397, 1398, 1430, 1455, 1461, 1463, 2207, 2217, 2222, 2246, 2295, 2296], "colortbl": 1433, "colour": [188, 764], "cols_to_drop": 15, "colspac": [2228, 2232, 2302], "colspan": [1475, 2199, 2235, 2246], "colspec": [1472, 2199, 2218, 2220, 2289], "columbu": 2210, "column": [3, 10, 15, 18, 21, 24, 26, 28, 29, 30, 31, 32, 33, 34, 63, 64, 65, 69, 70, 71, 72, 73, 74, 75, 76, 77, 80, 81, 82, 83, 84, 86, 88, 89, 91, 92, 94, 95, 96, 97, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 128, 129, 130, 131, 132, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 150, 151, 152, 153, 154, 155, 156, 158, 159, 160, 161, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 175, 176, 179, 180, 182, 183, 184, 185, 186, 187, 188, 189, 190, 192, 193, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 228, 230, 231, 232, 233, 234, 237, 240, 241, 242, 244, 245, 247, 249, 250, 251, 252, 253, 255, 256, 257, 258, 259, 261, 262, 263, 264, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 321, 325, 328, 339, 341, 342, 345, 346, 347, 348, 349, 350, 351, 352, 353, 366, 431, 433, 435, 440, 486, 488, 494, 505, 509, 579, 580, 581, 582, 583, 584, 585, 592, 593, 594, 595, 597, 600, 601, 616, 619, 620, 622, 623, 624, 625, 626, 627, 628, 629, 632, 633, 635, 636, 662, 693, 695, 696, 697, 698, 700, 701, 702, 704, 708, 709, 714, 717, 719, 720, 728, 730, 731, 733, 738, 740, 741, 742, 743, 744, 746, 750, 760, 761, 762, 763, 764, 765, 766, 768, 770, 771, 774, 775, 778, 781, 782, 784, 787, 788, 789, 793, 798, 800, 804, 806, 807, 815, 816, 817, 821, 828, 829, 831, 862, 866, 879, 880, 882, 883, 884, 886, 888, 889, 890, 896, 897, 899, 902, 903, 904, 906, 910, 912, 913, 941, 950, 952, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1183, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1226, 1227, 1228, 1229, 1233, 1236, 1237, 1238, 1239, 1240, 1244, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1267, 1268, 1269, 1270, 1273, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1284, 1289, 1290, 1291, 1292, 1293, 1295, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1345, 1350, 1352, 1354, 1356, 1360, 1362, 1369, 1377, 1380, 1381, 1382, 1386, 1387, 1389, 1390, 1391, 1394, 1395, 1396, 1397, 1398, 1400, 1402, 1403, 1404, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1414, 1415, 1416, 1418, 1419, 1421, 1422, 1423, 1424, 1430, 1431, 1432, 1433, 1434, 1435, 1436, 1437, 1438, 1439, 1443, 1444, 1445, 1446, 1447, 1448, 1453, 1454, 1455, 1458, 1461, 1463, 1465, 1466, 1468, 1469, 1470, 1471, 1472, 1473, 1474, 1475, 1476, 1477, 1478, 1480, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1490, 1494, 1498, 2166, 2167, 2184, 2185, 2190, 2192, 2193, 2194, 2196, 2198, 2201, 2202, 2203, 2204, 2205, 2206, 2208, 2211, 2212, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2233, 2234, 2235, 2236, 2237, 2239, 2242, 2243, 2247, 2248, 2250, 2253, 2254, 2255, 2256, 2257, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2269, 2272, 2273, 2274, 2275, 2276, 2278, 2279, 2280, 2281, 2282, 2284, 2285, 2286, 2287, 2288, 2290, 2291, 2293, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2306, 2307, 2308, 2309], "column1": [1487, 2195], "column2": [1487, 2195], "column3": [1487, 2195], "column4": 2195, "column_1": 144, "column_2": 144, "column_3": 144, "column_a": 2208, "column_b": 2208, "column_dtyp": [266, 2246, 2249], "column_format": [259, 890, 1433, 2228, 2291], "column_index": [9, 2207], "column_label": [207, 781], "column_level": [815, 2206, 2225], "column_nam": [9, 66, 130, 252, 1077, 1482, 1483, 1484, 2199, 2289], "column_spac": [2294, 2298], "columnar": [2199, 2283], "columns_mapp": [209, 210, 784], "columns_nam": 2230, "columnwis": [2207, 2246], "colwidth": [1466, 2211], "com": [1, 2, 5, 6, 13, 16, 17, 18, 19, 121, 234, 272, 696, 1403, 1455, 1461, 1487, 2185, 2197, 2199, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2244, 2245, 2246, 2249, 2250, 2251, 2252, 2253, 2254, 2255, 2256, 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, 2310], "combin": [2, 15, 18, 21, 22, 25, 26, 28, 29, 31, 32, 33, 34, 46, 72, 73, 91, 95, 101, 111, 112, 114, 134, 153, 184, 203, 228, 241, 273, 281, 479, 581, 582, 618, 709, 821, 829, 849, 862, 863, 866, 868, 900, 918, 957, 970, 997, 1117, 1146, 1148, 1149, 1152, 1203, 1204, 1207, 1208, 1211, 1264, 1269, 1270, 1298, 1299, 1304, 1306, 1308, 1321, 1323, 1325, 1344, 1397, 1400, 1403, 1422, 1430, 1433, 1453, 1458, 1469, 1470, 1478, 1486, 1487, 2172, 2184, 2185, 2187, 2188, 2196, 2199, 2207, 2208, 2209, 2212, 2215, 2216, 2219, 2222, 2224, 2226, 2230, 2231, 2232, 2235, 2238, 2246, 2249, 2255, 2271, 2277, 2278, 2283, 2289, 2292, 2298, 2307], "combinatori": 2215, "combine_first": [94, 617, 2186, 2222, 2232, 2234, 2246, 2277, 2302, 2308], "combineadd": [2228, 2235], "combinemult": [2228, 2235], "come": [2, 3, 5, 13, 16, 19, 789, 829, 1343, 2184, 2185, 2199, 2207, 2208, 2210, 2225, 2260, 2302], "comma": [3, 15, 18, 25, 32, 63, 250, 251, 253, 883, 884, 886, 1183, 1244, 1354, 1373, 1374, 1431, 1468, 1469, 1470, 1472, 1475, 1486, 2199, 2204, 2218, 2246, 2249, 2289], "command": [1, 2, 5, 6, 8, 13, 16, 17, 19, 21, 22, 291, 314, 440, 643, 667, 1403, 1404, 1433, 2221], "commandlin": 5, "comment": [1, 2, 3, 4, 10, 13, 16, 17, 18, 19, 203, 339, 1433, 1469, 1470, 1486, 2195, 2203, 2221, 2222, 2228, 2232, 2235, 2236, 2241, 2261, 2271, 2283, 2298], "commit": [0, 1, 5, 11, 13, 267, 896, 1491, 2213, 2220, 2246, 2261, 2278], "committe": 13, "common": [1, 2, 3, 4, 13, 15, 16, 17, 18, 19, 28, 34, 107, 190, 238, 241, 261, 282, 389, 455, 469, 473, 629, 766, 811, 1078, 1099, 1106, 1110, 1113, 1114, 1136, 1142, 1164, 1221, 1400, 1415, 1433, 1498, 1793, 1815, 2184, 2185, 2186, 2191, 2192, 2194, 2195, 2197, 2199, 2200, 2201, 2203, 2207, 2210, 2212, 2216, 2218, 2220, 2225, 2228, 2230, 2231, 2232, 2233, 2235, 2246, 2249, 2257, 2271, 2277, 2283, 2289, 2290, 2294, 2302, 2307], "common_timezon": 2210, "commonli": [2, 1460, 2191, 2205, 2210, 2212, 2235], "commun": [1, 5, 11, 13, 21, 23, 2185, 2199, 2207, 2302], "commut": [2249, 2294], "comodo": [207, 781], "compact": [3, 2199, 2210, 2212, 2307], "compact_int": [2232, 2241], "compaison": 2201, "compani": [1793, 1815], "compar": [1, 2, 4, 16, 17, 19, 21, 22, 26, 30, 31, 69, 108, 109, 118, 119, 129, 132, 135, 159, 161, 171, 173, 175, 182, 188, 189, 199, 203, 204, 206, 207, 212, 215, 216, 217, 220, 221, 222, 241, 244, 275, 367, 375, 389, 390, 429, 434, 445, 630, 695, 724, 760, 764, 765, 781, 787, 1050, 1152, 1165, 1211, 1222, 1493, 1494, 1495, 1496, 2172, 2185, 2188, 2190, 2193, 2194, 2195, 2196, 2197, 2199, 2201, 2203, 2208, 2218, 2219, 2220, 2221, 2222, 2223, 2225, 2228, 2229, 2232, 2235, 2238, 2241, 2242, 2243, 2246, 2247, 2249, 2265, 2275, 2277, 2279, 2283, 2288, 2289, 2292, 2294, 2298, 2299, 2302, 2303, 2307], "comparison": [2, 4, 30, 96, 102, 118, 132, 135, 159, 161, 175, 188, 189, 619, 764, 765, 1055, 1120, 1143, 1158, 1361, 2168, 2184, 2185, 2194, 2196, 2198, 2199, 2200, 2203, 2208, 2213, 2218, 2219, 2221, 2222, 2223, 2224, 2226, 2229, 2230, 2231, 2236, 2238, 2239, 2241, 2242, 2243, 2249, 2261, 2271, 2274, 2277, 2278, 2281, 2283, 2285, 2289, 2292, 2295, 2298, 2299, 2302, 2303, 2306, 2307], "compat": [3, 11, 14, 17, 22, 74, 75, 76, 77, 92, 103, 104, 105, 106, 110, 207, 219, 249, 253, 274, 337, 341, 356, 357, 359, 360, 381, 406, 408, 419, 430, 464, 478, 481, 500, 501, 578, 581, 582, 583, 584, 585, 586, 587, 588, 589, 616, 625, 626, 627, 628, 631, 633, 636, 694, 706, 707, 710, 715, 716, 734, 739, 747, 749, 753, 773, 777, 780, 781, 783, 786, 790, 791, 792, 794, 795, 796, 797, 807, 808, 824, 878, 882, 886, 900, 901, 916, 918, 931, 937, 1003, 1007, 1021, 1031, 1037, 1038, 1041, 1059, 1060, 1130, 1140, 1145, 1202, 1224, 1231, 1232, 1259, 1263, 1344, 1370, 1403, 1404, 1407, 1431, 1433, 1447, 1462, 1470, 1475, 1476, 1479, 1482, 1483, 1484, 2172, 2197, 2198, 2199, 2203, 2208, 2209, 2212, 2213, 2214, 2215, 2217, 2218, 2220, 2222, 2223, 2224, 2225, 2228, 2229, 2230, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2241, 2243, 2246, 2249, 2250, 2251, 2257, 2265, 2271, 2277, 2283, 2289, 2294, 2297, 2298, 2302, 2307], "compat_x": 2235, "compil": [4, 8, 11, 22, 77, 212, 787, 857, 866, 1107, 1108, 1148, 1149, 1178, 1179, 1181, 1199, 1200, 1203, 1205, 1207, 1208, 1237, 1238, 1240, 1260, 1261, 1264, 1267, 1300, 1302, 1305, 1310, 1311, 1312, 1313, 1318, 1319, 1320, 1322, 1327, 1328, 1329, 1330, 1335, 1336, 1337, 1475, 2194, 2196, 2201, 2208, 2217, 2230, 2232, 2235, 2250, 2272, 2276, 2283, 2287, 2292, 2293, 2307], "compile_command": 8, "complain": [2, 2302], "complaint": 2220, "complement": [1182, 1241, 2205, 2225], "complementari": [3, 2185], "complet": [1, 4, 8, 13, 16, 17, 18, 19, 22, 24, 99, 120, 203, 622, 824, 1155, 1213, 1298, 1299, 1306, 1308, 1323, 1325, 1345, 1387, 1391, 1416, 1433, 1459, 1469, 1486, 1488, 1490, 2184, 2185, 2186, 2188, 2195, 2197, 2199, 2200, 2202, 2207, 2212, 2214, 2215, 2216, 2217, 2218, 2220, 2222, 2225, 2228, 2230, 2235, 2236, 2241, 2242, 2246, 2251, 2254, 2257, 2260, 2261, 2263, 2264, 2265, 2289], "complevel": [256, 346, 351, 888, 2199, 2238], "complex": [2, 3, 4, 17, 56, 68, 197, 577, 740, 862, 866, 1078, 1079, 1083, 1084, 1345, 1387, 1391, 1394, 1403, 1404, 1470, 1487, 1488, 1490, 2184, 2186, 2195, 2197, 2199, 2202, 2207, 2218, 2220, 2221, 2228, 2231, 2249, 2250, 2261, 2265, 2277, 2289, 2294, 2298, 2302, 2310], "complex128": [168, 1084, 1118, 2186, 2194, 2222, 2228], "complex64": [2186, 2228], "complex_": 2199, "complexflo": 2186, "compli": 13, "complianc": 2241, "compliant": [1473, 2190, 2199, 2228, 2241], "complib": [256, 346, 351, 888, 2199, 2227, 2238], "complic": [2, 808, 2185, 2195, 2205, 2210, 2211, 2218, 2220, 2235], "compon": [3, 5, 31, 258, 276, 316, 407, 522, 524, 530, 534, 536, 662, 670, 683, 833, 889, 902, 923, 927, 930, 1141, 1741, 2186, 2196, 2199, 2209, 2222, 2225, 2228, 2231, 2271, 2289, 2294, 2298, 2307, 2308], "compos": [1031, 2202, 2207, 2238, 2246], "composit": [10, 2199, 2307], "compound": [873, 2193, 2194, 2201, 2203, 2218, 2249, 2265, 2283, 2294, 2307], "comprehens": [15, 1433, 2191, 2193, 2197, 2207], "compress": [3, 16, 17, 18, 19, 251, 254, 256, 258, 263, 265, 268, 272, 884, 888, 889, 895, 1397, 1430, 1469, 1476, 1479, 1480, 1485, 1486, 1487, 2184, 2203, 2204, 2205, 2206, 2218, 2220, 2226, 2228, 2229, 2230, 2231, 2232, 2236, 2238, 2239, 2241, 2242, 2246, 2248, 2265, 2271, 2273, 2277, 2279, 2280, 2283, 2289, 2294, 2298, 2302], "compression_level": 254, "compression_opt": [251, 884], "compresslevel": [251, 258, 265, 268, 272, 884, 889, 895, 2199, 2271], "compressor": [256, 888, 2199], "compris": [60, 613, 1491, 2212], "comput": [1, 3, 12, 15, 16, 17, 19, 34, 44, 69, 72, 73, 81, 99, 100, 102, 109, 110, 129, 134, 144, 155, 156, 163, 164, 165, 166, 170, 171, 172, 173, 182, 185, 199, 200, 201, 202, 203, 204, 205, 206, 215, 216, 217, 220, 221, 222, 232, 244, 245, 255, 275, 284, 378, 380, 401, 404, 425, 426, 429, 465, 489, 568, 578, 581, 582, 597, 603, 622, 624, 631, 632, 694, 706, 707, 709, 710, 730, 731, 734, 739, 741, 742, 743, 744, 746, 747, 749, 753, 760, 773, 774, 775, 776, 777, 778, 780, 790, 791, 792, 795, 796, 797, 806, 846, 877, 878, 879, 901, 912, 1066, 1119, 1148, 1149, 1152, 1155, 1156, 1157, 1158, 1169, 1177, 1178, 1179, 1180, 1181, 1185, 1189, 1190, 1191, 1192, 1195, 1197, 1198, 1199, 1200, 1203, 1205, 1207, 1208, 1211, 1213, 1214, 1215, 1226, 1236, 1237, 1238, 1239, 1240, 1246, 1250, 1251, 1252, 1253, 1256, 1258, 1259, 1260, 1261, 1264, 1267, 1269, 1270, 1273, 1276, 1281, 1282, 1283, 1284, 1285, 1288, 1290, 1292, 1293, 1294, 1295, 1297, 1300, 1302, 1304, 1305, 1310, 1311, 1312, 1313, 1314, 1318, 1319, 1320, 1321, 1322, 1327, 1328, 1329, 1330, 1331, 1335, 1336, 1337, 1342, 1343, 1344, 1345, 1391, 1454, 1473, 1488, 1490, 1493, 2172, 2184, 2185, 2186, 2188, 2191, 2193, 2195, 2197, 2199, 2201, 2202, 2203, 2204, 2208, 2210, 2211, 2214, 2218, 2219, 2220, 2228, 2229, 2230, 2235, 2237, 2238, 2246, 2254, 2256, 2257, 2260, 2261, 2265, 2267, 2271, 2277, 2283, 2287, 2289, 2294, 2295, 2298, 2304, 2307], "computation": [2193, 2197], "compute_engin": [255, 1473], "compute_metr": 2195, "compute_numba": 2193, "con": [267, 896, 1482, 1483, 1484, 2199, 2220, 2228, 2302], "concat": [17, 18, 30, 85, 596, 2185, 2188, 2192, 2196, 2198, 2199, 2205, 2207, 2208, 2213, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2228, 2230, 2231, 2232, 2233, 2238, 2239, 2241, 2242, 2246, 2249, 2258, 2265, 2271, 2277, 2282, 2283, 2284, 2285, 2293, 2294, 2297, 2298, 2302, 2303, 2307, 2308], "concatan": 1400, "concaten": [21, 32, 35, 230, 804, 821, 845, 1033, 1146, 1400, 1469, 1470, 1486, 2184, 2185, 2196, 2199, 2218, 2220, 2222, 2226, 2228, 2230, 2231, 2235, 2239, 2242, 2257, 2258, 2261, 2271, 2283, 2285, 2289, 2294, 2297, 2298, 2302, 2307, 2308], "concatent": 1146, "concentr": [26, 27, 29, 31, 2193], "concept": [2, 3, 16, 19, 21, 29, 31, 35, 36, 1433, 2199, 2210, 2212], "conceptu": [2199, 2240], "concern": [1031, 2197, 2207, 2294], "concis": [2, 3, 35, 144, 168, 2186, 2235], "concret": [35, 1118, 1346, 2167, 2191, 2238], "concurr": 2199, "cond": [163, 284, 439, 741, 912, 2186, 2227, 2246, 2271, 2283, 2298, 2302], "conda": [2, 6, 8, 13, 21, 22, 2184, 2199, 2203, 2205, 2212, 2235, 2240, 2241, 2265, 2294, 2298], "condit": [17, 18, 21, 22, 25, 27, 32, 34, 160, 163, 212, 259, 284, 415, 439, 445, 603, 738, 741, 787, 890, 912, 2184, 2186, 2197, 2199, 2201, 2207, 2212, 2214, 2218, 2227, 2231, 2232, 2235, 2238, 2239, 2243, 2246, 2264, 2281, 2304], "condition": [1396, 1400, 1414, 2186, 2196, 2199], "condition0": 603, "condition1": 603, "conduct": [0, 1478], "conf": 2, "confid": [13, 1456, 2211], "config": [5, 6, 8, 13, 98, 259, 621, 890, 1345, 1391, 1473, 1488, 1490, 2199, 2202, 2247], "config_init": 2202, "configur": [1, 5, 6, 17, 257, 269, 1338, 1339, 1340, 1341, 1419, 1443, 1473, 2177, 2190, 2194, 2202, 2207, 2211, 2216, 2227, 2230, 2238, 2242, 2261, 2265, 2271, 2289, 2294], "confirm": [6, 13], "conflict": [1, 2, 13, 267, 896, 1069, 1071, 1072, 1184, 1347, 2197, 2218, 2223, 2224, 2232, 2235, 2241, 2246, 2265], "conflict_t": [267, 896], "conform": [79, 125, 141, 207, 208, 255, 404, 417, 591, 701, 717, 718, 781, 782, 1400, 1423, 1487, 1741, 2186, 2191, 2197, 2218, 2220, 2225, 2231, 2232, 2246, 2294], "confus": [203, 2172, 2192, 2198, 2199, 2207, 2214, 2222, 2227, 2230, 2235, 2238, 2246, 2265, 2271, 2298], "coninje01": 2191, "conjunct": [18, 1469, 1470, 1486, 2193, 2195, 2199, 2298, 2302], "conn": [267, 896, 1353, 1482, 1483, 2199, 2307], "connect": [0, 1, 16, 17, 18, 19, 251, 253, 258, 260, 263, 265, 267, 268, 272, 341, 884, 886, 889, 892, 895, 896, 1353, 1431, 1469, 1470, 1471, 1475, 1476, 1478, 1479, 1482, 1483, 1484, 1485, 1486, 1487, 2191, 2211, 2217, 2220, 2228, 2230, 2232, 2235, 2241, 2271, 2290, 2302, 2307], "connectionrefusederror": [16, 17, 18, 19, 2199, 2235], "connector": 2226, "consecut": [74, 89, 124, 125, 146, 182, 207, 208, 378, 417, 419, 465, 489, 583, 601, 700, 701, 720, 760, 781, 782, 786, 1040, 1052, 1060, 1167, 1224, 1275, 1280, 1469, 1486, 2186, 2199, 2200, 2201, 2214, 2241, 2246, 2283, 2307], "consensu": 13, "consequ": [7, 268, 2190, 2196, 2197, 2199, 2232, 2235, 2246, 2249, 2265, 2289], "consequenti": 34, "conserv": 2186, "consid": [1, 2, 3, 10, 13, 34, 37, 38, 62, 80, 101, 111, 112, 114, 116, 117, 118, 119, 132, 135, 139, 140, 148, 149, 159, 160, 161, 167, 172, 175, 177, 178, 356, 359, 360, 402, 413, 449, 467, 532, 587, 588, 592, 615, 617, 622, 636, 693, 695, 725, 726, 738, 748, 755, 756, 873, 915, 1043, 1050, 1081, 1091, 1097, 1101, 1110, 1115, 1119, 1120, 1121, 1131, 1143, 1174, 1175, 1213, 1395, 1397, 1402, 1430, 1445, 1457, 1469, 1470, 1472, 1486, 1491, 2169, 2180, 2185, 2186, 2187, 2188, 2191, 2193, 2194, 2195, 2196, 2197, 2199, 2204, 2207, 2208, 2210, 2211, 2212, 2221, 2222, 2231, 2235, 2236, 2238, 2242, 2243, 2246, 2248, 2249, 2265, 2271, 2276, 2277, 2280, 2283, 2289, 2294, 2298, 2302, 2307, 2308], "consider": [20, 80, 190, 592, 766, 1300, 1302, 1310, 1311, 1312, 1313, 1319, 1327, 1328, 1329, 1330, 1336, 2191, 2195, 2196, 2210, 2211, 2212, 2294], "consist": [2, 3, 4, 10, 12, 13, 16, 17, 18, 19, 23, 24, 25, 28, 29, 32, 97, 107, 141, 251, 279, 363, 391, 392, 393, 394, 395, 398, 399, 408, 478, 620, 629, 717, 812, 884, 1069, 1071, 1072, 1164, 1221, 1393, 1403, 1404, 1475, 2186, 2188, 2190, 2193, 2195, 2197, 2199, 2201, 2209, 2210, 2211, 2214, 2217, 2218, 2219, 2220, 2221, 2222, 2224, 2225, 2226, 2227, 2230, 2231, 2240, 2243, 2246, 2249, 2260, 2265, 2294, 2302, 2303, 2304], "consol": [4, 255, 257, 259, 269, 890, 1345, 1391, 1473, 1488, 1490, 1491, 2185, 2197, 2202, 2218, 2230, 2251, 2254, 2256, 2261, 2281, 2283], "consolid": [2195, 2210, 2220, 2227, 2228, 2235, 2246, 2284, 2298], "consolidat": 2218, "conson": 2195, "consortium": 2302, "const": 2199, "constant": [63, 69, 109, 129, 171, 173, 191, 194, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 251, 275, 767, 769, 884, 1407, 1469, 1486, 1498, 2188, 2199, 2215, 2220, 2222, 2223, 2231, 2235, 2302], "constantli": 2, "constitut": [2199, 2211, 2260, 2294], "constrained_layout": 2283, "constraint": [1436, 2199, 2220], "construct": [2, 37, 63, 97, 101, 130, 143, 183, 286, 459, 462, 463, 464, 478, 540, 573, 620, 719, 761, 916, 938, 972, 1018, 1037, 1038, 1118, 1121, 1123, 1124, 1125, 1128, 1129, 1130, 1141, 1146, 1170, 1227, 1277, 1387, 1416, 1433, 1475, 2185, 2188, 2191, 2195, 2196, 2197, 2199, 2200, 2201, 2203, 2206, 2207, 2209, 2210, 2212, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2225, 2227, 2228, 2229, 2230, 2231, 2232, 2235, 2236, 2237, 2238, 2241, 2243, 2246, 2248, 2261, 2265, 2266, 2271, 2273, 2276, 2279, 2283, 2284, 2289, 2290, 2294, 2299, 2301, 2302, 2304, 2306, 2307], "construct_array_typ": [1068, 2246, 2283], "construct_from_str": [2194, 2201, 2203, 2246, 2265, 2283, 2294, 2302, 2307], "constructor": [12, 37, 44, 63, 130, 131, 459, 505, 750, 916, 919, 922, 929, 953, 1125, 1452, 2172, 2184, 2185, 2188, 2190, 2194, 2198, 2199, 2203, 2209, 2210, 2212, 2214, 2218, 2220, 2221, 2222, 2224, 2225, 2226, 2227, 2229, 2230, 2233, 2235, 2239, 2241, 2242, 2243, 2246, 2249, 2255, 2256, 2257, 2263, 2265, 2267, 2272, 2273, 2274, 2276, 2277, 2279, 2284, 2286, 2289, 2294, 2296, 2298, 2299, 2302, 2304, 2306, 2307], "constructur": 1433, "consult": [5, 2218, 2249], "consum": [66, 144, 168, 407, 745, 1433, 2193, 2199, 2206], "consumpt": [139, 140, 168, 407, 745, 1174, 1175, 2229], "contact": 13, "contain": [2, 3, 5, 6, 9, 10, 12, 13, 17, 18, 21, 22, 25, 27, 28, 31, 32, 34, 36, 37, 46, 47, 55, 58, 60, 61, 63, 68, 76, 91, 95, 96, 98, 103, 104, 105, 106, 110, 112, 114, 116, 117, 119, 120, 126, 133, 134, 139, 140, 142, 145, 147, 153, 169, 172, 184, 185, 203, 209, 213, 214, 223, 228, 234, 238, 243, 249, 251, 253, 256, 258, 259, 268, 272, 276, 280, 281, 285, 292, 294, 325, 332, 345, 353, 354, 359, 360, 376, 380, 401, 429, 431, 436, 445, 449, 451, 459, 467, 490, 492, 494, 504, 517, 532, 573, 577, 585, 587, 588, 599, 611, 613, 614, 617, 621, 625, 626, 627, 628, 636, 637, 644, 646, 662, 681, 682, 683, 688, 693, 695, 699, 702, 708, 709, 718, 724, 728, 783, 788, 789, 798, 814, 821, 824, 827, 828, 830, 835, 845, 850, 853, 858, 859, 861, 862, 866, 867, 882, 884, 886, 888, 889, 890, 893, 902, 907, 908, 913, 950, 957, 970, 982, 997, 1014, 1034, 1039, 1044, 1051, 1055, 1064, 1068, 1076, 1117, 1123, 1124, 1125, 1131, 1142, 1143, 1146, 1174, 1175, 1183, 1194, 1202, 1204, 1244, 1255, 1263, 1342, 1343, 1344, 1354, 1358, 1360, 1386, 1387, 1388, 1389, 1390, 1394, 1395, 1403, 1404, 1405, 1422, 1423, 1431, 1435, 1441, 1442, 1446, 1449, 1450, 1453, 1454, 1455, 1458, 1461, 1463, 1469, 1470, 1474, 1475, 1476, 1478, 1479, 1480, 1485, 1486, 1487, 1495, 1498, 1500, 2164, 2165, 2166, 2167, 2173, 2178, 2185, 2186, 2188, 2191, 2192, 2193, 2194, 2195, 2196, 2197, 2199, 2200, 2202, 2203, 2204, 2206, 2207, 2210, 2211, 2212, 2214, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2237, 2238, 2241, 2243, 2245, 2246, 2247, 2248, 2249, 2254, 2255, 2257, 2261, 2265, 2266, 2267, 2269, 2271, 2272, 2274, 2277, 2283, 2284, 2288, 2289, 2291, 2292, 2294, 2295, 2297, 2298, 2299, 2300, 2302, 2307, 2308], "contamin": 2212, "content": [12, 16, 17, 18, 19, 35, 126, 144, 145, 150, 238, 250, 253, 256, 262, 263, 341, 702, 845, 883, 886, 888, 1345, 1373, 1391, 1431, 1466, 1468, 1470, 1475, 1488, 1490, 2184, 2185, 2193, 2195, 2197, 2202, 2203, 2205, 2208, 2220, 2225, 2228, 2230, 2235, 2246, 2249, 2264, 2265, 2294, 2298], "content_encod": [16, 17, 18, 19, 2199, 2235], "context": [2, 3, 16, 17, 18, 19, 341, 1345, 1370, 1391, 1415, 1451, 1488, 1490, 2185, 2193, 2197, 2199, 2202, 2218, 2224, 2232, 2235, 2277, 2298], "contextdecor": 2271, "contextlib": 2271, "contigu": [34, 1142, 1472, 2199, 2238, 2289, 2307, 2308], "continu": [1, 3, 4, 11, 14, 23, 376, 436, 445, 699, 908, 1343, 1388, 2185, 2186, 2192, 2194, 2197, 2204, 2212, 2218, 2226, 2230, 2238, 2241, 2246, 2249, 2261, 2277, 2278, 2283, 2289, 2298], "contract": 34, "contrari": [160, 738, 2197, 2216], "contrast": [19, 39, 98, 213, 621, 788, 1050, 2186, 2188, 2190, 2194, 2197, 2210, 2222, 2241, 2278], "contribut": [0, 5, 6, 11, 13, 21, 22, 34, 36, 168, 745, 2215, 2216, 2219, 2226, 2231, 2241, 2246, 2247, 2248, 2289, 2294], "contributing_gitpod": 6, "contributor": [1, 2, 5, 6, 11, 13, 34, 2213], "contributors_list": [2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2244, 2245, 2246, 2249, 2250, 2251, 2252, 2253, 2254, 2255, 2256, 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, 2310], "contriv": 2186, "control": [4, 10, 17, 82, 118, 132, 135, 159, 161, 175, 184, 200, 201, 213, 233, 241, 245, 251, 257, 267, 269, 288, 296, 318, 369, 509, 593, 639, 652, 673, 774, 775, 788, 807, 879, 884, 893, 896, 940, 943, 948, 957, 970, 997, 1148, 1149, 1194, 1207, 1208, 1255, 1344, 1345, 1391, 1406, 1407, 1419, 1423, 1433, 1453, 1469, 1486, 1488, 1490, 1498, 2185, 2186, 2191, 2196, 2199, 2202, 2205, 2210, 2214, 2216, 2219, 2220, 2222, 2228, 2232, 2235, 2239, 2240, 2241, 2246, 2249, 2261, 2265, 2271, 2277, 2283, 2285, 2289, 2298], "conv": 2210, "conveni": [10, 16, 17, 19, 21, 24, 28, 30, 31, 32, 134, 213, 436, 709, 728, 788, 908, 1391, 1418, 1482, 1487, 1488, 1490, 2185, 2186, 2188, 2195, 2197, 2199, 2206, 2207, 2210, 2211, 2214, 2216, 2218, 2219, 2220, 2225, 2231, 2238, 2239, 2246, 2254, 2257, 2261, 2263], "convent": [1, 2, 4, 10, 12, 44, 207, 209, 210, 213, 238, 270, 282, 345, 781, 784, 788, 898, 953, 2184, 2186, 2194, 2197, 2199, 2209, 2210, 2211, 2222, 2241, 2271, 2307], "convers": [0, 10, 13, 27, 29, 34, 97, 134, 143, 213, 258, 268, 364, 620, 709, 719, 779, 788, 889, 917, 953, 954, 995, 1077, 1192, 1253, 1354, 1433, 1436, 1469, 1470, 1486, 1487, 1498, 1499, 2172, 2184, 2188, 2196, 2204, 2206, 2213, 2217, 2218, 2219, 2220, 2222, 2224, 2226, 2229, 2230, 2232, 2243, 2254, 2261], "convert": [10, 15, 16, 17, 18, 19, 26, 27, 29, 30, 31, 32, 34, 79, 82, 97, 121, 125, 130, 131, 142, 143, 203, 213, 237, 239, 251, 252, 257, 258, 259, 261, 262, 264, 266, 268, 269, 270, 271, 272, 277, 278, 286, 287, 288, 296, 316, 318, 322, 325, 326, 328, 330, 331, 339, 352, 356, 357, 431, 433, 445, 478, 485, 486, 487, 488, 490, 504, 511, 541, 562, 563, 575, 590, 591, 593, 620, 639, 652, 670, 673, 677, 680, 682, 685, 686, 696, 701, 719, 740, 788, 819, 820, 834, 848, 869, 870, 872, 874, 884, 885, 887, 889, 890, 893, 894, 898, 899, 903, 904, 909, 917, 923, 929, 931, 932, 939, 940, 943, 948, 950, 952, 953, 954, 956, 957, 970, 995, 997, 999, 1006, 1007, 1009, 1013, 1014, 1031, 1037, 1076, 1116, 1141, 1143, 1271, 1343, 1345, 1348, 1359, 1360, 1377, 1389, 1390, 1391, 1393, 1403, 1404, 1433, 1436, 1459, 1464, 1466, 1469, 1470, 1474, 1475, 1476, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1490, 1498, 1499, 1500, 1657, 1677, 1699, 1720, 2167, 2184, 2185, 2186, 2188, 2191, 2194, 2196, 2197, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2212, 2213, 2214, 2215, 2216, 2217, 2218, 2220, 2221, 2222, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2241, 2242, 2247, 2248, 2249, 2250, 2254, 2255, 2261, 2262, 2264, 2267, 2272, 2275, 2277, 2278, 2282, 2283, 2287, 2289, 2298, 2299, 2301, 2302, 2304, 2306, 2308, 2309], "convert_": 2300, "convert_ax": [1476, 2199], "convert_boolean": [97, 620, 2199], "convert_categor": [1481, 1485, 2199, 2232], "convert_css": 1433, "convert_d": [268, 1476, 1485, 2199, 2216], "convert_datetime64": [2241, 2265], "convert_dtyp": [143, 586, 719, 1498, 1499, 1500, 2199, 2201, 2203, 2267, 2283, 2287, 2289, 2298, 2300, 2301, 2307], "convert_dummi": [2222, 2225], "convert_flo": [97, 620, 2199], "convert_float": [2283, 2298], "convert_integ": [97, 620, 2199], "convert_listlik": 2210, "convert_miss": [1485, 2199, 2222], "convert_na_valu": 2298, "convert_numer": 2216, "convert_object": [2216, 2218, 2221, 2228, 2238, 2249, 2256], "convert_reso": 2210, "convert_str": [97, 620, 2199], "convert_strl": 268, "convert_typ": 2302, "convolut": 5, "coo": [238, 2206, 2235, 2249], "coo_matrix": [3, 812, 815, 2206, 2225, 2298], "cook": [16, 17, 19, 2199], "cookbook": [2184, 2185, 2195, 2197, 2199, 2204, 2210, 2211, 2216], "cool": [2199, 2215], "coord": 812, "coord_i": 192, "coord_x": 192, "coordin": [30, 91, 187, 192, 195, 197, 238, 271, 763, 770, 812, 815, 899, 1398, 1458, 1461, 2205, 2206, 2216, 2220, 2229, 2230, 2235, 2241, 2262], "copenhagen": [1397, 1430], "copi": [1, 3, 4, 11, 13, 20, 39, 40, 49, 63, 66, 74, 82, 85, 89, 96, 97, 111, 124, 125, 143, 151, 162, 169, 207, 208, 209, 210, 226, 227, 230, 246, 250, 253, 255, 259, 261, 264, 270, 274, 276, 277, 278, 286, 354, 361, 364, 390, 427, 439, 459, 462, 463, 464, 478, 540, 568, 573, 575, 583, 590, 593, 596, 601, 620, 700, 701, 719, 781, 782, 783, 784, 801, 802, 804, 857, 880, 883, 886, 890, 893, 894, 898, 902, 903, 904, 931, 938, 1007, 1031, 1034, 1037, 1038, 1040, 1045, 1052, 1054, 1063, 1067, 1077, 1118, 1121, 1122, 1123, 1124, 1125, 1128, 1129, 1130, 1140, 1141, 1142, 1143, 1144, 1146, 1345, 1350, 1380, 1381, 1387, 1391, 1402, 1431, 1446, 1468, 1473, 1488, 1490, 2184, 2185, 2188, 2191, 2192, 2193, 2194, 2195, 2196, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2212, 2215, 2216, 2218, 2219, 2220, 2222, 2225, 2228, 2230, 2232, 2235, 2238, 2239, 2241, 2243, 2246, 2249, 2253, 2256, 2264, 2265, 2267, 2271, 2277, 2281, 2284, 2285, 2289, 2292, 2293, 2296, 2297, 2300, 2301, 2308], "copy_expert": 2199, "copy_on_writ": [74, 82, 98, 143, 169, 207, 208, 209, 210, 226, 227, 264, 270, 274, 276, 277, 278, 583, 593, 621, 719, 781, 782, 783, 784, 801, 802, 880, 894, 898, 902, 903, 904, 1345, 1350, 1391, 1446, 1488, 1490, 2190, 2197, 2202, 2294, 2298, 2307], "copyright": [34, 2189], "core": [1, 2, 3, 4, 5, 8, 13, 16, 19, 22, 24, 25, 34, 72, 73, 91, 102, 103, 104, 105, 106, 141, 144, 202, 203, 205, 440, 625, 626, 627, 628, 717, 776, 778, 1064, 1085, 1087, 1088, 1099, 1106, 1110, 1113, 1114, 1432, 1458, 1499, 2172, 2184, 2185, 2186, 2188, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2205, 2207, 2208, 2210, 2212, 2214, 2216, 2218, 2219, 2220, 2221, 2222, 2228, 2229, 2230, 2232, 2233, 2235, 2246, 2249, 2250, 2255, 2265, 2271, 2283, 2286, 2289, 2294, 2298, 2302, 2307], "coredump": 2246, "corg": 2222, "cormirh01": 2191, "corn": [359, 360, 587, 588], "corner": [2220, 2241, 2277, 2283, 2289], "corr": [100, 597, 1156, 2212, 2217, 2229, 2230, 2241, 2246, 2249, 2256, 2265, 2267, 2271, 2273, 2277, 2283, 2286, 2287, 2288, 2289, 2290, 2294, 2298, 2302], "corrcoef": [1306, 1323], "correct": [2, 4, 5, 13, 228, 420, 799, 893, 1076, 1118, 1299, 1301, 1303, 1345, 1391, 1405, 1476, 1488, 1490, 2186, 2197, 2199, 2202, 2206, 2210, 2215, 2217, 2218, 2221, 2222, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2236, 2238, 2241, 2246, 2249, 2250, 2265, 2271, 2277, 2285, 2289, 2293, 2295, 2298, 2302, 2304, 2307], "correctli": [6, 7, 1042, 1345, 1391, 1400, 1433, 1469, 1475, 1486, 1488, 1490, 2168, 2186, 2199, 2202, 2215, 2217, 2218, 2220, 2221, 2222, 2223, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2235, 2238, 2239, 2242, 2243, 2246, 2249, 2250, 2265, 2267, 2277, 2283, 2284, 2285, 2286, 2289, 2290, 2293, 2298, 2301, 2302, 2303, 2304, 2307], "correl": [99, 100, 102, 197, 597, 622, 1155, 1156, 1158, 1213, 1298, 1306, 1323, 1433, 1463, 2220, 2229, 2235, 2246, 2256, 2286, 2294, 2295], "correspond": [2, 13, 21, 27, 30, 32, 35, 56, 65, 69, 79, 109, 111, 119, 121, 129, 131, 144, 163, 171, 173, 183, 186, 192, 199, 204, 206, 207, 210, 215, 216, 217, 220, 221, 222, 244, 249, 269, 272, 275, 280, 284, 285, 286, 330, 350, 363, 378, 380, 383, 405, 420, 455, 462, 465, 489, 510, 532, 540, 578, 591, 599, 631, 685, 694, 695, 696, 706, 707, 710, 734, 739, 740, 741, 747, 749, 750, 753, 761, 762, 773, 777, 780, 781, 783, 784, 790, 791, 792, 795, 796, 797, 799, 821, 830, 834, 835, 856, 858, 859, 876, 877, 878, 882, 901, 907, 912, 913, 938, 953, 972, 1042, 1061, 1128, 1188, 1202, 1249, 1338, 1339, 1340, 1341, 1387, 1397, 1403, 1404, 1421, 1430, 1439, 1441, 1442, 1449, 1450, 1455, 1456, 1469, 1470, 1476, 1480, 1482, 1483, 1484, 1486, 1498, 1506, 1524, 1815, 1982, 2000, 2167, 2186, 2188, 2191, 2193, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2208, 2209, 2210, 2211, 2212, 2217, 2220, 2222, 2228, 2230, 2232, 2241, 2246, 2249, 2253, 2271, 2277, 2283, 2289, 2294, 2298, 2302], "corrupt": [2199, 2220, 2232, 2241, 2265, 2278, 2279, 2282, 2298, 2307], "corrwith": [99, 597, 622, 1155, 1213, 2241, 2246, 2271, 2294, 2295, 2302], "cosh": [2193, 2228], "cost": [3, 13, 118, 132, 135, 144, 159, 161, 175, 1473, 2186, 2197, 2241, 2295], "could": [1, 2, 3, 5, 12, 13, 15, 16, 17, 18, 19, 22, 102, 162, 184, 197, 212, 251, 258, 265, 268, 272, 481, 787, 884, 889, 895, 1117, 1158, 1343, 1373, 1453, 1469, 1470, 1471, 1472, 1476, 1477, 1478, 1479, 1480, 1484, 1485, 1486, 1487, 2166, 2185, 2186, 2188, 2192, 2194, 2195, 2197, 2199, 2210, 2211, 2212, 2218, 2220, 2225, 2226, 2227, 2228, 2229, 2230, 2232, 2233, 2234, 2235, 2238, 2239, 2241, 2246, 2247, 2248, 2249, 2250, 2252, 2260, 2265, 2271, 2277, 2278, 2283, 2284, 2289, 2293, 2294, 2295, 2298, 2302, 2307, 2308], "couldn": [22, 2277, 2286, 2298], "count": [16, 18, 21, 23, 24, 107, 112, 123, 144, 172, 180, 281, 414, 436, 629, 748, 758, 831, 908, 1164, 1182, 1183, 1184, 1194, 1204, 1221, 1241, 1244, 1255, 1345, 1382, 1391, 1400, 1470, 1488, 1490, 2188, 2191, 2194, 2195, 2199, 2202, 2204, 2205, 2208, 2211, 2215, 2216, 2218, 2219, 2220, 2222, 2223, 2225, 2228, 2229, 2230, 2231, 2232, 2235, 2239, 2241, 2246, 2249, 2254, 2255, 2256, 2257, 2260, 2265, 2271, 2277, 2279, 2283, 2289, 2294, 2302], "counter": [3, 1416, 2235], "counterexampl": 2, "counterpart": [98, 621, 2206, 2225, 2231, 2238, 2265, 2277, 2289, 2294], "countess": 32, "counti": [1443, 2199], "countri": [29, 31, 1204, 2188, 2195, 2202, 2219, 2223, 2228], "countries_popul": [754, 757, 1242, 1243], "country_nam": 2186, "coupl": [2, 2188, 2195, 2197, 2207, 2210, 2217, 2218, 2224, 2260, 2261], "cours": [8, 2186, 2191, 2197, 2199, 2228, 2230, 2232], "coursework": [247, 880], "courtesi": [2217, 2218, 2231], "cousin": [203, 2228, 2241], "cov": [1306, 1323, 2194, 2195, 2212, 2217, 2220, 2230, 2236, 2241, 2255, 2271, 2277, 2283, 2287, 2288, 2294, 2298, 2302], "covari": [102, 624, 1158, 1215, 1299, 1306, 1308, 1323, 1325, 2186, 2195, 2220, 2227], "cover": [35, 207, 781, 1141, 1343, 2185, 2196, 2199, 2234, 2285], "coverag": [2, 2186], "cow": [3, 7, 111, 232, 325, 328, 355, 369, 373, 411, 412, 424, 431, 433, 574, 633, 634, 692, 724, 751, 752, 805, 806, 825, 826, 845, 950, 952, 1157, 1160, 1162, 1214, 1217, 1219, 1273, 1433, 2196, 2199, 2202, 2307], "cow_": [830, 858], "coyot": [188, 189, 764, 765], "cparser": 2218, "cparsererror": [2231, 2232, 2235], "cparserwrapp": [2199, 2203, 2298], "cpcloud": 2217, "cpdef": 2193, "cpickl": 2199, "cppflag": 8, "cpu": [2, 3, 5, 2186, 2193, 2205], "cpython": 2238, "cpython3_3": [16, 17, 18, 19, 2184, 2185, 2186, 2188, 2191, 2192, 2193, 2194, 2197, 2199, 2200, 2201, 2202, 2203, 2205, 2208, 2210, 2212, 2232, 2235, 2246, 2249, 2265, 2283, 2294, 2298, 2302, 2307], "cr": 2225, "cran": 15, "cranberri": 2218, "crash": [2235, 2248, 2267, 2271], "creat": [0, 2, 3, 4, 6, 7, 8, 10, 11, 13, 16, 17, 18, 19, 21, 22, 23, 29, 31, 32, 33, 34, 35, 46, 60, 75, 79, 81, 82, 85, 91, 98, 102, 112, 114, 120, 127, 130, 131, 137, 142, 145, 153, 157, 167, 169, 185, 186, 187, 197, 203, 207, 209, 210, 213, 214, 228, 233, 237, 241, 251, 252, 253, 255, 256, 258, 263, 265, 267, 268, 272, 286, 325, 328, 331, 341, 346, 351, 354, 364, 417, 418, 419, 421, 429, 431, 433, 440, 445, 459, 462, 463, 464, 478, 490, 494, 498, 505, 540, 569, 575, 584, 586, 591, 593, 596, 613, 621, 686, 703, 718, 728, 732, 762, 763, 781, 784, 786, 788, 789, 812, 815, 853, 861, 884, 886, 888, 889, 895, 896, 911, 938, 950, 952, 956, 957, 970, 995, 997, 1013, 1014, 1060, 1074, 1118, 1119, 1120, 1121, 1123, 1124, 1125, 1128, 1129, 1130, 1141, 1143, 1146, 1154, 1158, 1173, 1188, 1249, 1274, 1342, 1354, 1389, 1402, 1403, 1405, 1423, 1431, 1433, 1436, 1444, 1445, 1446, 1454, 1457, 1458, 1473, 1475, 1478, 1485, 1498, 1741, 2166, 2167, 2184, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2196, 2197, 2200, 2202, 2203, 2204, 2206, 2207, 2210, 2211, 2212, 2214, 2215, 2216, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2228, 2230, 2231, 2232, 2236, 2241, 2242, 2248, 2249, 2253, 2254, 2263, 2265, 2271, 2277, 2278, 2279, 2283, 2285, 2288, 2289, 2292, 2293, 2294, 2298, 2299, 2301, 2302, 2304, 2309], "create_connect": [16, 17, 18, 19, 2199, 2235], "create_engin": [267, 896, 1483, 2199, 2220], "create_section_head": 2212, "create_t": [351, 2271], "create_table_index": [2199, 2214], "createdbi": [2199, 2249], "creation": [10, 12, 130, 131, 251, 268, 286, 351, 884, 938, 2196, 2199, 2209, 2210, 2214, 2215, 2216, 2218, 2220, 2222, 2225, 2230, 2231, 2232, 2233, 2234, 2241, 2246, 2257, 2298, 2309], "creativ": [2166, 2195, 2199], "creator": 9, "cred": 2269, "credenti": [255, 1473, 2199, 2232, 2246, 2277], "creso": 2210, "crit": 2238, "criteria": [352, 821, 1343, 1357, 1474, 2184, 2195, 2197, 2199, 2210, 2231, 2271], "criterion": [808, 1168, 1225, 2195, 2197, 2199], "critic": 2, "cron": 13, "crop": [2197, 2223], "cross": [3, 22, 34, 153, 160, 169, 285, 738, 913, 1342, 1446, 2197, 2200, 2204, 2218, 2219, 2222, 2235, 2238, 2256, 2277, 2283, 2293, 2294], "crosstab": [2196, 2220, 2225, 2230, 2231, 2238, 2250, 2257, 2271, 2277, 2289, 2302], "crucial": 13, "cruft": 2263, "crunch": [359, 360, 587, 588], "cryptic": [2283, 2289], "csc": 237, "csi": 2199, "csr_matrix": [2206, 2235], "css": [243, 257, 1345, 1348, 1391, 1394, 1395, 1396, 1398, 1400, 1402, 1403, 1404, 1407, 1408, 1409, 1410, 1411, 1413, 1414, 1415, 1418, 1419, 1421, 1422, 1423, 1432, 1433, 1435, 1488, 1490, 2196, 2199, 2202, 2229, 2232, 2249, 2271, 2277, 2283, 2285, 2289, 2291, 2294], "css2": 2207, "css4": 2277, "css_class": [1423, 2207], "css_class_nam": [1394, 1421, 2207], "cssstyle": 2289, "csstoexcelconvert": 2294, "csswarn": 2294, "cstore": 2199, "csv": [4, 16, 18, 19, 21, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 63, 250, 251, 253, 256, 262, 263, 341, 883, 884, 886, 888, 1354, 1373, 1374, 1431, 1455, 1461, 1468, 1469, 1470, 1472, 1475, 1486, 2186, 2188, 2191, 2196, 2197, 2203, 2205, 2207, 2214, 2217, 2218, 2219, 2220, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2234, 2235, 2238, 2246, 2249, 2253, 2261, 2265, 2278, 2294, 2298, 2307], "csv_import": 2218, "csv_parser": 2218, "ctime": 2238, "ctrl": [6, 2199], "cu": [2199, 2283], "cubehelix": 2211, "cubic": [146, 720, 1280, 2201, 2218], "cubicsplin": [146, 720, 1280, 2271], "cudf": 2203, "cum": 2231, "cumbersom": [3, 32, 2207, 2210], "cumcount": [18, 1182, 1241, 2195, 2231, 2236, 2271], "cume": [25, 32], "cummax": [104, 105, 106, 626, 627, 628, 1032, 2186, 2195, 2224, 2235, 2249, 2257, 2265, 2283, 2289, 2294, 2298, 2302], "cummin": [103, 105, 106, 625, 627, 628, 1032, 2186, 2195, 2224, 2235, 2249, 2257, 2265, 2283, 2289, 2294, 2298, 2302], "cumpct": 2195, "cumprod": [103, 104, 106, 625, 626, 628, 1032, 2186, 2195, 2201, 2218, 2229, 2232, 2241, 2249, 2294, 2302], "cumsum": [103, 104, 105, 625, 626, 627, 808, 1032, 1385, 1460, 2184, 2186, 2195, 2201, 2207, 2211, 2212, 2218, 2229, 2231, 2232, 2235, 2241, 2249, 2265, 2283, 2289, 2294, 2302], "cumtim": 2193, "cumul": [103, 104, 105, 106, 625, 626, 627, 628, 1160, 1161, 1162, 1163, 1217, 1218, 1219, 1220, 2186, 2195, 2201, 2211, 2257, 2265], "cup": [112, 116], "cur": 2199, "cur_sheet": [2294, 2298], "curat": 1, "curiou": 0, "curli": [3, 1416], "curr_pars": 2199, "current": [0, 1, 2, 3, 4, 5, 6, 13, 16, 19, 22, 27, 31, 34, 60, 77, 99, 108, 182, 186, 207, 208, 241, 258, 262, 268, 272, 334, 342, 378, 380, 419, 465, 489, 498, 573, 613, 622, 630, 681, 760, 762, 781, 782, 786, 889, 993, 1010, 1031, 1032, 1041, 1060, 1074, 1118, 1122, 1123, 1124, 1143, 1144, 1155, 1188, 1203, 1213, 1249, 1264, 1345, 1374, 1387, 1391, 1400, 1402, 1403, 1404, 1416, 1435, 1469, 1470, 1486, 1487, 1488, 1490, 1620, 1637, 1930, 1947, 2054, 2127, 2145, 2186, 2187, 2188, 2192, 2197, 2198, 2199, 2201, 2202, 2207, 2208, 2210, 2212, 2216, 2217, 2218, 2220, 2223, 2228, 2230, 2232, 2235, 2238, 2241, 2242, 2246, 2249, 2264, 2265, 2271, 2277, 2278, 2283, 2289, 2294, 2298, 2302, 2307, 2308], "currentlydefault": 2230, "cursor": [267, 896, 2199, 2216, 2220], "curv": 1455, "custom": [2, 7, 11, 12, 16, 19, 21, 26, 29, 31, 39, 82, 152, 167, 213, 252, 254, 586, 593, 718, 788, 1031, 1068, 1069, 1071, 1072, 1145, 1305, 1322, 1405, 1432, 1445, 1459, 1464, 1469, 1475, 1476, 1479, 1480, 1482, 1485, 1486, 1487, 1598, 1657, 1677, 1699, 1720, 2167, 2172, 2183, 2188, 2195, 2197, 2199, 2202, 2204, 2207, 2209, 2217, 2218, 2220, 2222, 2224, 2228, 2232, 2235, 2238, 2239, 2246, 2247, 2248, 2249, 2250, 2263, 2264, 2267, 2271, 2272, 2289, 2291, 2293, 2298, 2302, 2309], "custom_resampl": [213, 788], "custom_valu": 586, "customari": [16, 17, 18, 19, 873], "customarili": 2184, "custombusinessdai": [1656, 2172, 2210, 2217, 2220, 2221, 2222, 2223, 2230, 2231, 2289, 2296, 2302], "custombusinesshour": [2172, 2210, 2231, 2307], "custombusinessmonth": 2222, "custombusinessmonthbegin": [1654, 2172, 2210, 2220, 2289], "custombusinessmonthend": [1655, 2172, 2210, 2220, 2221, 2289, 2307], "customindex": [1073, 2212], "customis": [1416, 2196, 2294], "customiz": 2220, "customlist": 10, "cut": [15, 376, 436, 445, 459, 699, 908, 1125, 1388, 2186, 2188, 2196, 2218, 2220, 2223, 2234, 2235, 2236, 2241, 2246, 2249, 2261, 2265, 2271, 2274, 2289, 2293, 2307], "cuyahoga": [1443, 2199], "cve": 2305, "cx_freez": 2224, "cyberpanda": 2241, "cycl": [2, 16, 17, 18, 19, 2186, 2199, 2235, 2241, 2250], "cygdb": 8, "cython": [5, 8, 12, 22, 34, 1148, 1149, 1178, 1179, 1181, 1199, 1200, 1203, 1205, 1207, 1208, 1237, 1238, 1240, 1260, 1261, 1264, 1267, 1300, 1302, 1305, 1310, 1311, 1312, 1313, 1318, 1319, 1320, 1322, 1327, 1328, 1329, 1330, 1335, 1336, 1337, 1492, 2186, 2196, 2199, 2203, 2212, 2218, 2220, 2222, 2225, 2226, 2228, 2233, 2235, 2241, 2246, 2253, 2254, 2255, 2257, 2261, 2265, 2266, 2271, 2274, 2287, 2292, 2293, 2298], "d": [2, 3, 9, 10, 12, 15, 16, 17, 18, 19, 25, 31, 41, 50, 53, 55, 58, 59, 63, 74, 82, 97, 100, 102, 107, 111, 113, 118, 120, 121, 123, 124, 125, 130, 131, 132, 133, 135, 141, 146, 154, 155, 156, 159, 161, 167, 175, 185, 186, 188, 192, 205, 207, 208, 212, 213, 223, 230, 233, 234, 245, 253, 258, 269, 270, 276, 280, 285, 290, 291, 292, 294, 298, 306, 307, 308, 309, 310, 321, 322, 326, 331, 332, 361, 363, 376, 383, 420, 423, 434, 490, 505, 510, 511, 514, 516, 519, 521, 531, 532, 533, 534, 536, 538, 539, 542, 543, 544, 545, 546, 549, 551, 561, 562, 563, 565, 573, 578, 583, 593, 603, 604, 605, 608, 611, 612, 619, 620, 629, 631, 635, 642, 643, 644, 646, 648, 651, 658, 659, 660, 661, 676, 677, 680, 682, 683, 686, 688, 694, 696, 699, 700, 701, 706, 707, 708, 710, 715, 716, 717, 720, 730, 731, 734, 739, 747, 749, 753, 762, 764, 773, 777, 778, 780, 781, 782, 787, 788, 789, 790, 791, 792, 795, 796, 797, 798, 799, 804, 807, 808, 815, 821, 823, 828, 829, 832, 864, 878, 879, 886, 889, 901, 902, 905, 907, 913, 916, 921, 938, 942, 945, 951, 953, 999, 1000, 1031, 1056, 1061, 1068, 1069, 1071, 1072, 1106, 1111, 1118, 1121, 1122, 1123, 1124, 1141, 1146, 1156, 1158, 1164, 1169, 1188, 1194, 1203, 1221, 1226, 1231, 1232, 1249, 1255, 1276, 1305, 1306, 1307, 1308, 1310, 1311, 1312, 1313, 1314, 1317, 1319, 1342, 1343, 1344, 1347, 1358, 1365, 1387, 1388, 1389, 1392, 1393, 1421, 1431, 1436, 1445, 1448, 1452, 1454, 1465, 1469, 1476, 1482, 1483, 1484, 1486, 1487, 1497, 1498, 1499, 1500, 1501, 1578, 1657, 1677, 1699, 1720, 2166, 2184, 2185, 2186, 2188, 2191, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2240, 2241, 2246, 2249, 2260, 2261, 2264, 2271, 2277, 2289, 2294, 2298, 2302], "d0": [2185, 2200, 2220, 2241, 2246], "d1": [274, 2185, 2200, 2220, 2232, 2241, 2246], "d10": 2200, "d11": 2200, "d2": [213, 274, 788, 2200, 2241, 2246], "d20130523": 2199, "d3": [2199, 2200, 2241, 2246], "d4": 2200, "d5": 2200, "d6": 2200, "d65f5f": [1398, 2207], "d7": 2200, "d8": 2200, "d9": 2200, "d_": 2207, "d_2037": 2210, "d_2038": 2210, "d_e": 2208, "dade": [1443, 2199], "dai": [1, 2, 6, 17, 18, 31, 68, 84, 88, 121, 127, 157, 187, 202, 213, 218, 286, 287, 291, 292, 293, 294, 295, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 321, 332, 345, 423, 445, 510, 513, 514, 515, 516, 517, 518, 519, 522, 531, 532, 534, 535, 536, 539, 540, 543, 544, 545, 546, 547, 548, 549, 552, 561, 565, 577, 595, 600, 640, 643, 644, 645, 646, 647, 649, 650, 651, 655, 656, 657, 658, 659, 660, 661, 662, 664, 669, 675, 676, 682, 683, 688, 696, 703, 732, 763, 788, 793, 916, 917, 918, 919, 920, 922, 923, 924, 926, 927, 928, 929, 930, 931, 932, 933, 934, 937, 938, 939, 941, 944, 945, 946, 947, 949, 951, 953, 960, 962, 963, 964, 965, 966, 967, 968, 976, 977, 978, 979, 980, 981, 984, 995, 996, 1005, 1011, 1019, 1024, 1113, 1118, 1144, 1145, 1289, 1344, 1345, 1372, 1391, 1452, 1488, 1490, 1497, 1498, 1500, 1501, 1502, 1506, 1512, 1524, 1530, 1542, 1548, 1560, 1566, 1578, 1586, 1598, 1607, 1620, 1626, 1637, 1643, 1657, 1665, 1677, 1686, 1699, 1707, 1720, 1728, 1741, 1747, 1782, 1793, 1801, 1815, 1823, 1846, 1857, 1863, 1883, 1901, 1919, 1936, 1953, 1971, 1988, 2006, 2025, 2036, 2043, 2054, 2061, 2079, 2090, 2096, 2108, 2114, 2133, 2151, 2172, 2185, 2186, 2188, 2195, 2197, 2199, 2201, 2202, 2209, 2212, 2214, 2215, 2217, 2218, 2219, 2220, 2221, 2222, 2224, 2225, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2261, 2271, 2274, 2275, 2283, 2289, 2290, 2294, 2298, 2299, 2302, 2307], "daili": [22, 31, 146, 326, 513, 515, 535, 680, 720, 1145, 1280, 1344, 1452, 2195, 2210, 2214, 2224, 2230, 2238, 2263, 2298], "damag": 34, "damp": 15, "dan": 2215, "danbirken": 2219, "daniel": 599, "danira": 25, "dark": [1397, 2219, 2246, 2294], "dark_background": 2283, "darkblu": [197, 2207, 2211], "darkgreen": 2211, "darkgrei": 2207, "darkorang": 2211, "darwin": 2, "dash": [22, 1456, 2207, 2211, 2225, 2226, 2304], "dashboard": [6, 13, 2218], "dashdot": 2207, "dashdotdot": 2207, "dask": [16, 19, 2228, 2284, 2294], "data": [2, 3, 7, 8, 9, 11, 15, 18, 20, 21, 25, 26, 27, 28, 29, 33, 36, 37, 38, 39, 44, 46, 49, 63, 66, 68, 69, 72, 73, 79, 82, 88, 90, 91, 92, 97, 98, 99, 100, 101, 102, 107, 109, 111, 114, 115, 117, 118, 123, 127, 129, 130, 131, 132, 134, 135, 136, 137, 139, 140, 144, 146, 151, 154, 157, 159, 161, 163, 168, 171, 173, 175, 183, 184, 185, 186, 187, 188, 189, 190, 192, 193, 196, 197, 199, 202, 204, 205, 206, 207, 208, 209, 210, 211, 213, 214, 215, 216, 217, 220, 221, 222, 223, 224, 226, 227, 230, 235, 236, 237, 243, 244, 248, 251, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 280, 284, 285, 286, 288, 296, 306, 307, 308, 309, 316, 318, 325, 331, 334, 336, 343, 344, 346, 347, 348, 349, 350, 351, 352, 353, 354, 363, 364, 372, 378, 380, 390, 391, 392, 393, 394, 395, 398, 399, 403, 404, 407, 411, 412, 422, 424, 425, 431, 436, 437, 441, 442, 443, 444, 445, 457, 459, 462, 463, 464, 465, 473, 477, 478, 485, 489, 494, 504, 505, 538, 540, 569, 573, 575, 577, 578, 581, 582, 590, 591, 593, 600, 602, 604, 616, 620, 621, 622, 629, 631, 633, 636, 639, 652, 658, 659, 660, 661, 670, 673, 681, 682, 686, 690, 691, 693, 694, 703, 706, 707, 709, 710, 712, 715, 716, 718, 720, 727, 732, 734, 736, 739, 741, 745, 747, 749, 751, 752, 753, 761, 762, 763, 764, 765, 766, 768, 771, 773, 776, 777, 778, 779, 780, 781, 782, 783, 784, 788, 790, 791, 792, 795, 796, 797, 798, 801, 802, 803, 804, 805, 809, 811, 875, 876, 877, 878, 880, 881, 884, 886, 888, 889, 890, 893, 895, 896, 899, 900, 901, 902, 903, 904, 908, 909, 911, 912, 913, 914, 915, 937, 938, 940, 943, 948, 950, 953, 1027, 1028, 1029, 1030, 1031, 1032, 1037, 1038, 1039, 1040, 1045, 1052, 1064, 1067, 1068, 1069, 1071, 1072, 1078, 1091, 1117, 1118, 1120, 1121, 1122, 1123, 1124, 1125, 1128, 1129, 1130, 1136, 1140, 1141, 1142, 1143, 1144, 1146, 1147, 1148, 1149, 1150, 1151, 1154, 1155, 1156, 1157, 1158, 1160, 1161, 1162, 1163, 1164, 1165, 1170, 1171, 1173, 1174, 1175, 1176, 1177, 1178, 1180, 1181, 1185, 1186, 1188, 1189, 1190, 1191, 1192, 1193, 1195, 1196, 1197, 1199, 1200, 1203, 1205, 1206, 1207, 1208, 1209, 1210, 1213, 1214, 1217, 1218, 1219, 1220, 1221, 1222, 1227, 1228, 1231, 1232, 1233, 1236, 1237, 1239, 1240, 1246, 1247, 1249, 1250, 1251, 1252, 1253, 1254, 1256, 1257, 1258, 1260, 1261, 1264, 1267, 1268, 1269, 1270, 1272, 1273, 1275, 1277, 1278, 1279, 1280, 1281, 1283, 1284, 1286, 1288, 1292, 1293, 1294, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1345, 1347, 1352, 1356, 1365, 1369, 1373, 1389, 1390, 1391, 1394, 1395, 1397, 1398, 1400, 1402, 1403, 1404, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1415, 1416, 1418, 1421, 1422, 1423, 1430, 1431, 1433, 1434, 1435, 1436, 1437, 1443, 1444, 1447, 1448, 1453, 1454, 1455, 1457, 1458, 1460, 1461, 1463, 1466, 1467, 1468, 1469, 1470, 1471, 1472, 1473, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1490, 1494, 1496, 1499, 1500, 2164, 2165, 2166, 2172, 2175, 2190, 2192, 2193, 2194, 2196, 2200, 2202, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2236, 2237, 2238, 2239, 2241, 2242, 2243, 2248, 2249, 2250, 2253, 2255, 2256, 2257, 2260, 2261, 2263, 2264, 2268, 2271, 2272, 2273, 2275, 2284, 2285, 2286, 2287, 2289, 2292, 2294, 2295, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2308, 2309], "data1": [350, 352, 2199, 2204, 2211], "data2": [350, 352, 2191, 2211], "data_chunk": 2199, "data_column": [256, 346, 351, 888, 2199, 2215, 2216, 2217, 2218, 2234, 2235, 2271], "data_df": 2195, "data_dict": 2199, "data_dtyp": [2199, 2203, 2224, 2298], "data_it": [267, 896, 2199], "data_keyword": [183, 761, 1187, 1248, 1289, 2186], "data_label": [268, 2220], "data_manag": [1345, 1391, 1488, 1490, 2202, 2298, 2307], "data_onli": 2307, "data_sourc": 2220, "data_t": 2199, "dataarrai": [271, 899, 2230, 2235, 2241, 2289], "databas": [2, 8, 16, 18, 19, 21, 30, 34, 169, 265, 267, 895, 896, 1446, 1447, 1448, 1479, 1482, 1483, 1484, 2184, 2188, 2199, 2200, 2210, 2215, 2218, 2220, 2222, 2223, 2224, 2228, 2246, 2257, 2283, 2295, 2307], "databaseerror": 2294, "dataclass": 63, "dataerror": [2249, 2289, 2294, 2298], "dataf": 2217, "datafam": [2220, 2241], "datafil": [16, 2191], "datafram": [2, 3, 4, 7, 10, 11, 15, 18, 21, 22, 24, 26, 27, 28, 29, 30, 31, 33, 34, 35, 300, 301, 306, 307, 325, 326, 328, 337, 339, 341, 342, 345, 346, 347, 348, 349, 350, 351, 352, 353, 359, 360, 369, 373, 377, 401, 406, 408, 414, 417, 427, 431, 433, 436, 439, 440, 478, 485, 486, 487, 488, 494, 503, 505, 509, 568, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 591, 592, 593, 594, 595, 596, 597, 598, 600, 601, 602, 616, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 640, 658, 659, 662, 680, 683, 692, 693, 694, 695, 696, 697, 698, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 712, 714, 715, 716, 717, 719, 720, 724, 725, 726, 728, 730, 731, 732, 733, 734, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 749, 750, 753, 755, 756, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 773, 774, 775, 777, 778, 780, 781, 782, 783, 784, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 800, 802, 804, 806, 807, 808, 816, 817, 821, 828, 829, 831, 834, 853, 861, 862, 866, 876, 877, 878, 879, 881, 882, 883, 884, 886, 887, 888, 889, 890, 893, 895, 896, 899, 900, 901, 902, 903, 904, 906, 908, 910, 912, 913, 941, 950, 952, 1031, 1035, 1040, 1054, 1069, 1071, 1072, 1073, 1074, 1075, 1077, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1231, 1232, 1233, 1236, 1237, 1238, 1239, 1240, 1241, 1244, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1345, 1347, 1348, 1350, 1354, 1358, 1359, 1360, 1362, 1365, 1368, 1369, 1373, 1374, 1375, 1377, 1380, 1381, 1382, 1383, 1384, 1385, 1386, 1387, 1389, 1390, 1391, 1394, 1395, 1396, 1397, 1398, 1399, 1400, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1430, 1431, 1432, 1433, 1434, 1435, 1436, 1437, 1438, 1439, 1440, 1441, 1442, 1443, 1444, 1445, 1446, 1447, 1448, 1449, 1450, 1453, 1454, 1455, 1457, 1458, 1459, 1461, 1462, 1463, 1464, 1465, 1466, 1468, 1469, 1470, 1471, 1472, 1473, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1489, 1490, 1494, 1498, 1499, 1500, 2165, 2166, 2167, 2171, 2172, 2173, 2174, 2179, 2181, 2183, 2184, 2185, 2190, 2192, 2196, 2197, 2198, 2201, 2202, 2203, 2204, 2205, 2206, 2208, 2209, 2211, 2212, 2213, 2215, 2216, 2217, 2219, 2220, 2221, 2223, 2224, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2236, 2237, 2239, 2240, 2242, 2245, 2247, 2248, 2250, 2251, 2253, 2254, 2255, 2256, 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2266, 2267, 2268, 2269, 2272, 2273, 2274, 2275, 2276, 2279, 2280, 2281, 2282, 2284, 2285, 2286, 2287, 2288, 2290, 2291, 2293, 2295, 2296, 2297, 2299, 2300, 2301, 2303, 2304, 2305, 2306, 2308, 2309], "dataframeformatt": [1345, 1391, 1488, 1490, 2202, 2226, 2246], "dataframegroupbi": [18, 134, 186, 205, 223, 762, 778, 798, 1206, 1209, 1210, 1214, 1217, 1218, 1219, 1220, 1222, 1223, 1224, 1226, 1227, 1228, 1233, 1236, 1237, 1239, 1240, 1246, 1247, 1249, 1250, 1256, 1257, 1260, 1261, 1267, 1268, 1273, 1276, 1277, 1278, 1279, 1281, 1284, 1288, 1291, 1292, 2172, 2184, 2195, 2210, 2222, 2232, 2239, 2241, 2245, 2246, 2249, 2250, 2251, 2252, 2265, 2266, 2267, 2269, 2272, 2273, 2275, 2276, 2277, 2278, 2286, 2287, 2288, 2289, 2292, 2293, 2295, 2297, 2302, 2303, 2304, 2306, 2307, 2308], "dataframegroupbygroupbi": 2298, "dataframemodel": 2218, "dataframewidget": 2218, "dataframexchg": 1077, "datalak": 2271, "datalin": 16, "datalines2": 16, "datamatrix": 2230, "datapoint": 1280, "dataread": [2220, 2223, 2224, 2228, 2232], "dataset": [16, 17, 18, 35, 85, 107, 112, 116, 127, 139, 140, 153, 157, 169, 227, 254, 255, 262, 263, 268, 271, 359, 360, 587, 588, 596, 617, 629, 703, 705, 732, 802, 899, 1153, 1164, 1174, 1175, 1212, 1221, 1365, 1446, 1463, 1469, 1473, 1486, 2169, 2180, 2191, 2192, 2196, 2199, 2200, 2211, 2218, 2220, 2228, 2232, 2246, 2265, 2275, 2277, 2294], "datastor": [267, 896], "datatim": 2246, "datatyp": [37, 267, 896, 1485, 2172, 2196, 2239, 2291, 2294, 2302], "datawhalechina": 35, "date": [1, 2, 3, 4, 5, 9, 12, 13, 21, 26, 29, 30, 31, 34, 36, 80, 82, 84, 88, 127, 157, 207, 230, 258, 268, 271, 273, 276, 278, 286, 303, 304, 305, 306, 307, 308, 309, 316, 317, 322, 331, 341, 345, 510, 514, 516, 526, 532, 555, 558, 562, 592, 593, 595, 600, 655, 656, 657, 658, 659, 660, 661, 662, 670, 671, 677, 682, 686, 703, 732, 781, 804, 889, 899, 900, 902, 904, 916, 938, 957, 958, 970, 972, 976, 977, 978, 979, 980, 981, 983, 984, 997, 1006, 1014, 1024, 1078, 1145, 1274, 1344, 1345, 1391, 1452, 1464, 1469, 1470, 1476, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1490, 1498, 1501, 1502, 1506, 1524, 1542, 1560, 1578, 1598, 1620, 1637, 1657, 1677, 1699, 1720, 1741, 1758, 1776, 1793, 1815, 1839, 1857, 1876, 1894, 1912, 1930, 1947, 1964, 1982, 2000, 2018, 2036, 2054, 2090, 2108, 2127, 2145, 2169, 2172, 2180, 2184, 2185, 2186, 2195, 2196, 2197, 2202, 2204, 2209, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2235, 2238, 2239, 2241, 2242, 2246, 2254, 2261, 2262, 2265, 2266, 2271, 2273, 2274, 2277, 2278, 2283, 2293, 2294, 2295, 2296, 2298, 2300, 2302, 2306, 2307], "date1": [16, 17, 19], "date1_next": [16, 17, 19], "date1_plusmonth": 16, "date1_year": [16, 17, 19], "date2": [16, 17, 19], "date2_month": [16, 17, 19], "date32": [2199, 2300, 2307], "date64": 2300, "date_": 2188, "date_1": 2199, "date_2": 2199, "date_cat": 2188, "date_column": 1482, "date_convert": 2277, "date_dayfirst": [1345, 1391, 1488, 1490, 2202], "date_format": [16, 17, 18, 19, 251, 258, 322, 339, 341, 562, 677, 884, 889, 1469, 1470, 1486, 2199, 2203, 2218, 2219, 2227, 2229, 2232, 2235, 2271, 2294, 2298, 2302], "date_index": [207, 781], "date_index2": [207, 781], "date_next_mondai": 2090, "date_next_sundai": 2090, "date_object": 2090, "date_pars": [16, 17, 18, 19, 339, 1469, 1470, 1486, 2199, 2203, 2227, 2230, 2232, 2235, 2246, 2289, 2298], "date_plus_one_week": 2090, "date_rang": [12, 79, 82, 84, 88, 127, 133, 157, 187, 207, 208, 213, 218, 230, 255, 261, 276, 286, 288, 290, 291, 292, 294, 296, 299, 301, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 318, 319, 321, 322, 326, 327, 330, 331, 332, 333, 345, 363, 423, 562, 575, 591, 593, 595, 600, 637, 639, 642, 643, 644, 646, 652, 654, 655, 656, 657, 658, 659, 660, 661, 663, 665, 666, 667, 668, 670, 673, 674, 677, 680, 681, 685, 686, 688, 689, 703, 708, 732, 763, 781, 782, 788, 793, 804, 893, 902, 909, 940, 943, 945, 948, 1075, 1145, 1192, 1253, 1269, 1270, 1272, 1275, 1280, 1286, 1289, 1296, 1372, 1392, 1436, 1462, 1598, 1657, 1677, 1699, 1720, 2184, 2186, 2188, 2195, 2197, 2199, 2201, 2205, 2207, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2221, 2222, 2223, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2239, 2240, 2241, 2242, 2246, 2249, 2261, 2265, 2271, 2277, 2283, 2289, 2294, 2296, 2298, 2302, 2307], "date_spec": 2199, "date_str": 2199, "date_unit": [258, 889, 1476, 2199], "date_yearfirst": [1345, 1391, 1488, 1490, 2202], "dateclos": 2199, "datedif": 17, "datefram": [2246, 2302], "datelik": [1476, 2209, 2216, 2217, 2219, 2220, 2222, 2224, 2277], "dateobj": 2283, "dateoffset": [12, 79, 127, 157, 182, 213, 230, 423, 533, 538, 563, 591, 703, 732, 760, 788, 804, 1109, 1141, 1145, 1192, 1253, 1344, 1393, 1452, 1497, 1502, 1506, 1507, 1508, 1509, 1517, 1524, 1525, 1526, 1527, 1535, 1542, 1543, 1544, 1545, 1553, 1560, 1561, 1562, 1563, 1571, 1578, 1580, 1581, 1583, 1591, 1598, 1600, 1602, 1604, 1612, 1620, 1621, 1622, 1623, 1631, 1637, 1638, 1639, 1640, 1648, 1657, 1659, 1660, 1662, 1670, 1677, 1679, 1681, 1683, 1691, 1699, 1701, 1702, 1704, 1712, 1720, 1722, 1723, 1725, 1733, 1758, 1759, 1761, 1770, 1776, 1777, 1778, 1779, 1787, 1793, 1794, 1795, 1798, 1806, 1815, 1816, 1817, 1820, 1828, 1839, 1840, 1842, 1851, 1858, 1859, 1860, 1868, 1876, 1877, 1879, 1888, 1894, 1895, 1897, 1906, 1912, 1913, 1915, 1924, 1930, 1931, 1932, 1933, 1941, 1947, 1948, 1949, 1950, 1958, 1964, 1965, 1967, 1976, 1982, 1983, 1984, 1985, 1993, 2000, 2001, 2002, 2003, 2011, 2018, 2019, 2021, 2030, 2036, 2037, 2039, 2040, 2048, 2054, 2055, 2057, 2058, 2066, 2073, 2075, 2084, 2091, 2092, 2093, 2101, 2109, 2110, 2111, 2119, 2127, 2128, 2129, 2130, 2138, 2145, 2146, 2147, 2148, 2156, 2172, 2196, 2209, 2217, 2218, 2222, 2228, 2230, 2238, 2241, 2249, 2255, 2265, 2271, 2275, 2277, 2289, 2290, 2293, 2294, 2298, 2302, 2307, 2308], "daterang": [2220, 2261], "dates_lst_1": 2210, "dates_lst_2": 2210, "dates_seri": [303, 655], "datetim": [3, 9, 10, 12, 16, 17, 19, 26, 27, 29, 30, 32, 82, 84, 88, 97, 115, 143, 202, 213, 224, 230, 251, 258, 262, 267, 268, 276, 286, 289, 290, 292, 294, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 315, 316, 319, 322, 323, 324, 327, 329, 330, 331, 332, 333, 334, 336, 341, 345, 402, 423, 510, 562, 593, 595, 600, 620, 641, 642, 644, 646, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 665, 668, 670, 674, 677, 678, 679, 681, 682, 683, 684, 685, 686, 688, 689, 719, 788, 804, 884, 889, 893, 896, 902, 905, 909, 916, 932, 945, 951, 953, 958, 960, 969, 982, 995, 999, 1001, 1004, 1009, 1010, 1018, 1020, 1078, 1100, 1101, 1109, 1118, 1122, 1145, 1344, 1345, 1371, 1391, 1392, 1393, 1407, 1436, 1452, 1459, 1464, 1469, 1470, 1482, 1483, 1484, 1486, 1487, 1488, 1490, 1494, 1496, 1497, 1498, 1499, 1500, 1501, 1502, 1512, 1530, 1548, 1566, 1586, 1598, 1607, 1626, 1643, 1657, 1665, 1677, 1686, 1699, 1707, 1720, 1728, 1741, 1747, 1765, 1782, 1801, 1823, 1846, 1863, 1883, 1901, 1919, 1936, 1953, 1971, 1988, 2006, 2025, 2043, 2061, 2079, 2096, 2114, 2133, 2151, 2172, 2175, 2184, 2185, 2186, 2193, 2195, 2197, 2202, 2203, 2204, 2206, 2209, 2212, 2213, 2215, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2225, 2226, 2227, 2229, 2230, 2232, 2233, 2234, 2238, 2241, 2242, 2243, 2247, 2249, 2250, 2261, 2262, 2265, 2266, 2271, 2273, 2276, 2278, 2279, 2285, 2289, 2290, 2291, 2294, 2295, 2299, 2300, 2301, 2303, 2304, 2307, 2308], "datetime64": [9, 31, 82, 107, 115, 121, 212, 224, 264, 268, 270, 271, 286, 287, 288, 289, 290, 291, 293, 295, 296, 299, 301, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 323, 324, 329, 330, 331, 333, 334, 354, 402, 420, 423, 519, 540, 549, 563, 575, 590, 593, 629, 637, 639, 641, 642, 643, 645, 647, 649, 650, 651, 652, 654, 655, 656, 657, 658, 659, 660, 661, 663, 665, 666, 667, 668, 670, 671, 673, 674, 678, 679, 681, 684, 685, 686, 689, 696, 787, 799, 893, 899, 905, 909, 914, 932, 938, 939, 940, 943, 945, 948, 955, 1005, 1007, 1078, 1085, 1086, 1087, 1097, 1104, 1110, 1118, 1122, 1142, 1145, 1164, 1221, 1344, 1393, 1441, 1442, 1449, 1450, 1464, 1498, 1598, 1657, 1677, 1699, 1720, 2163, 2167, 2184, 2185, 2186, 2188, 2194, 2197, 2199, 2201, 2206, 2209, 2210, 2213, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2234, 2235, 2238, 2239, 2241, 2246, 2247, 2248, 2249, 2265, 2266, 2267, 2269, 2271, 2272, 2273, 2276, 2277, 2278, 2279, 2283, 2285, 2289, 2293, 2294, 2295, 2299, 2302, 2303, 2307, 2308], "datetime64n": 2294, "datetime64tz": [2271, 2277], "datetime64tzdtyp": 2283, "datetime_data": 2210, "datetime_format": [341, 2219, 2294], "datetime_is_numer": [2271, 2298], "datetime_seri": [290, 299, 311, 312, 313, 315, 319, 333, 642, 654, 663, 665, 666, 668, 674, 689], "datetimearrai": [2, 316, 326, 459, 563, 590, 670, 680, 905, 1090, 1118, 1125, 2163, 2167, 2186, 2210, 2235, 2246, 2250, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2299, 2302, 2307], "datetimeconvert": 2220, "datetimeindex": [12, 31, 46, 80, 84, 88, 121, 127, 157, 208, 213, 230, 264, 270, 276, 277, 278, 354, 363, 402, 423, 517, 519, 540, 549, 551, 562, 563, 592, 595, 600, 639, 641, 643, 644, 645, 646, 647, 651, 652, 655, 656, 657, 658, 659, 660, 661, 667, 670, 671, 673, 677, 678, 679, 680, 684, 685, 686, 688, 696, 703, 732, 782, 788, 804, 894, 898, 902, 903, 904, 938, 939, 940, 943, 944, 945, 948, 953, 1007, 1085, 1087, 1088, 1122, 1145, 1146, 1147, 1157, 1170, 1171, 1176, 1180, 1185, 1192, 1195, 1197, 1206, 1214, 1227, 1228, 1233, 1239, 1245, 1246, 1253, 1256, 1258, 1268, 1271, 1273, 1274, 1277, 1278, 1279, 1282, 1283, 1284, 1285, 1287, 1288, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1344, 1367, 1392, 1441, 1442, 1449, 1450, 1494, 1496, 1498, 1598, 1657, 1677, 1699, 1720, 2163, 2172, 2184, 2185, 2186, 2197, 2199, 2201, 2209, 2212, 2215, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2232, 2233, 2234, 2235, 2236, 2238, 2239, 2240, 2241, 2242, 2243, 2248, 2249, 2250, 2261, 2262, 2265, 2266, 2267, 2271, 2273, 2275, 2276, 2277, 2282, 2283, 2286, 2288, 2289, 2293, 2294, 2298, 2302, 2305, 2307, 2308], "datetimeindexopsmixin": 2197, "datetimeindexresampl": 2230, "datetimeindexresamplergroupbi": [1192, 1253], "datetimelik": [218, 637, 793, 1069, 1071, 1072, 1193, 1254, 1441, 1442, 1447, 1449, 1450, 2172, 2195, 2197, 2210, 2216, 2219, 2221, 2222, 2225, 2228, 2229, 2232, 2235, 2238, 2239, 2266, 2267, 2281, 2287], "datetimelikearraymixin": 2298, "datetimetz": [9, 224, 2235, 2246], "datetimetzblock": [2298, 2307], "datetimetzdtyp": [286, 1085, 1087, 1088, 1122, 2167, 2186, 2228, 2232, 2238, 2246, 2249, 2265, 2283, 2289, 2298, 2302, 2307], "datetimt64": 1498, "datetoffset": 2265, "datetool": [2232, 2246], "dateutil": [22, 127, 157, 286, 329, 330, 331, 684, 685, 686, 703, 732, 953, 956, 972, 1013, 1014, 1469, 1470, 1486, 1498, 1741, 1776, 2199, 2210, 2221, 2222, 2224, 2227, 2232, 2234, 2241, 2246, 2249, 2265, 2271, 2277, 2283, 2289, 2298], "datevalu": 17, "daunt": 8, "day_nam": [292, 294, 332, 644, 646, 688, 1512, 1530, 1548, 1566, 1586, 1607, 1626, 1643, 1665, 1686, 1707, 1728, 1747, 1765, 1782, 1801, 1823, 1846, 1863, 1883, 1901, 1919, 1936, 1953, 1971, 1988, 2006, 2025, 2043, 2061, 2079, 2096, 2114, 2133, 2151, 2210, 2241, 2302], "day_of_month": [2036, 2054, 2210], "day_of_week": [514, 515, 516, 965, 2210, 2277], "day_of_year": [516, 966, 2210, 2263, 2277], "dayfirst": [16, 17, 18, 19, 286, 1469, 1486, 1498, 1501, 2199, 2203, 2210, 2220, 2232, 2235, 2261, 2289, 2294, 2298, 2307], "daylight": [288, 296, 318, 639, 652, 673, 940, 943, 948, 953, 957, 969, 970, 997, 1498, 2210, 2218, 2222, 2241, 2271, 2277, 2288, 2293, 2298], "dayofweek": [292, 332, 512, 519, 531, 534, 535, 536, 549, 561, 644, 651, 676, 688, 2210, 2227, 2277], "dayofyear": [293, 512, 513, 515, 518, 519, 531, 535, 544, 549, 561, 645, 651, 676, 2210, 2227, 2263, 2277], "days_in_month": [518, 548, 968, 2210, 2225, 2302], "days_of_week": 2222, "daysinmonth": [517, 519, 531, 547, 549, 561, 649, 651, 676, 2225, 2227], "db": [2, 22, 267, 896, 1482, 1483, 1492, 2199, 2271], "db8": 2241, "db_name": [1482, 1484], "db_tabl": 2220, "dbapi": [267, 896, 1482, 1484, 2199, 2220, 2307], "dbapi2": [1482, 1483, 2290], "dbapi_conn": 2199, "dbm": 16, "dbuildtyp": [5, 8], "dcast": 15, "dd": [252, 341, 821, 885, 983, 1469, 1486, 2199, 2208, 2211, 2215, 2241, 2249, 2261, 2289], "ddc": 2208, "ddd": [1469, 1486, 2208], "dddc": 2208, "dddd": 2226, "ddebug": 5, "ddof": [102, 225, 242, 283, 321, 624, 800, 817, 910, 1041, 1158, 1195, 1199, 1205, 1215, 1256, 1260, 1267, 1292, 1294, 1297, 1306, 1308, 1316, 1318, 1320, 1323, 1325, 1333, 1335, 1337, 1339, 1341, 2195, 2210, 2219, 2222, 2265, 2271, 2294], "de": [32, 2199, 2222, 2231, 2238, 2285, 2289], "deadlock": 2235, "deal": [3, 5, 6, 282, 1354, 2172, 2185, 2186, 2194, 2197, 2201, 2210, 2212, 2214, 2216, 2217, 2222, 2232, 2246, 2249, 2261, 2265, 2271], "dealt": 2199, "debian": 5, "debias": [2212, 2222], "debug": [5, 11, 1433, 2202, 2207, 2230], "debugg": 8, "dec": [264, 303, 540, 541, 544, 546, 655, 894, 898, 1008, 1578, 1657, 1677, 1699, 2199, 2210, 2230, 2238, 2307], "dec_column": 2195, "decai": [121, 696, 2212], "decemb": [313, 557, 666, 2199, 2209, 2210, 2213], "decent": 2211, "decid": [2, 3, 13, 207, 268, 781, 1345, 1391, 1488, 1490, 2199, 2202, 2235, 2295], "decil": 1467, "decim": [3, 16, 17, 18, 19, 99, 131, 219, 251, 257, 258, 259, 269, 532, 622, 794, 810, 836, 837, 838, 839, 840, 841, 842, 843, 844, 884, 889, 890, 923, 1078, 1109, 1155, 1213, 1345, 1391, 1394, 1400, 1403, 1404, 1436, 1469, 1470, 1475, 1482, 1483, 1484, 1486, 1488, 1489, 1490, 2195, 2199, 2202, 2203, 2207, 2210, 2214, 2218, 2225, 2226, 2227, 2228, 2229, 2230, 2232, 2235, 2238, 2246, 2249, 2265, 2277, 2278, 2283, 2289, 2298, 2302, 2307, 2308], "decimal128": [2199, 2203, 2307], "decimal_typ": 2203, "decimaldtyp": 2246, "decis": [13, 34, 2185, 2207, 2226, 2302, 2308], "declar": [2, 272, 2199, 2207, 2246, 2271, 2294], "decod": [251, 256, 258, 884, 888, 889, 1389, 1474, 1475, 1476, 2199, 2208, 2218, 2228, 2231, 2239, 2242, 2249, 2263, 2298], "decompress": [1469, 1476, 1479, 1480, 1485, 1486, 1487, 2199, 2226, 2271], "decor": [2, 3, 10, 1068, 1069, 1070, 1071, 1072, 1345, 1391, 1433, 1488, 1490, 2184, 2193, 2199, 2202, 2205, 2207, 2211, 2212, 2217, 2235, 2238, 2246, 2271], "decreas": [207, 208, 362, 396, 397, 468, 721, 754, 781, 782, 1132, 1234, 1242, 2185, 2186, 2222, 2223, 2225, 2238, 2241, 2246, 2249, 2251, 2265, 2267, 2277, 2289, 2294, 2298], "decrement": 2246, "dedic": [13, 25, 28, 31, 1118, 2186, 2197, 2207, 2208, 2246, 2277, 2283, 2294], "dedupl": 2192, "deep": [7, 85, 98, 144, 168, 365, 407, 432, 481, 596, 621, 745, 891, 1345, 1391, 1488, 1490, 2185, 2192, 2194, 2197, 2199, 2202, 2205, 2229, 2235, 2238, 2249, 2269, 2302], "deepcopi": [98, 365, 481, 621, 2192, 2235, 2307], "deeper": [2185, 2194, 2220], "deepli": [168, 407, 745, 1487, 2199], "deer": [65, 835, 859], "def": [2, 3, 10, 16, 17, 18, 19, 99, 167, 183, 213, 267, 490, 491, 492, 493, 586, 622, 761, 788, 896, 1035, 1064, 1068, 1069, 1071, 1072, 1073, 1155, 1213, 1346, 1369, 1395, 1396, 1413, 1414, 1415, 1433, 1445, 1741, 2184, 2185, 2186, 2192, 2193, 2194, 2195, 2197, 2199, 2202, 2203, 2205, 2207, 2208, 2210, 2212, 2214, 2217, 2219, 2220, 2235, 2246, 2249, 2265, 2271, 2283, 2289, 2298], "default": [1, 2, 3, 5, 6, 8, 10, 13, 16, 17, 18, 19, 22, 23, 24, 26, 28, 29, 30, 34, 39, 40, 44, 46, 49, 62, 63, 66, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 88, 89, 91, 92, 94, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 111, 112, 113, 114, 116, 118, 120, 121, 122, 123, 124, 125, 126, 129, 130, 131, 132, 133, 134, 135, 136, 137, 139, 140, 143, 144, 145, 146, 152, 153, 155, 156, 159, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 175, 176, 179, 180, 182, 185, 186, 187, 188, 190, 191, 192, 193, 194, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 220, 221, 222, 223, 225, 226, 227, 228, 230, 232, 233, 234, 237, 240, 241, 242, 244, 245, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 283, 284, 285, 286, 288, 291, 296, 301, 310, 314, 318, 321, 325, 326, 328, 331, 334, 337, 341, 342, 345, 346, 350, 351, 352, 353, 354, 359, 360, 364, 365, 367, 368, 369, 370, 371, 373, 376, 377, 378, 389, 404, 406, 407, 408, 414, 417, 418, 421, 423, 425, 426, 427, 429, 430, 431, 433, 434, 436, 439, 440, 445, 459, 462, 463, 464, 465, 476, 478, 481, 482, 483, 489, 492, 500, 501, 502, 503, 505, 506, 510, 511, 533, 540, 541, 563, 568, 573, 575, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 591, 592, 593, 595, 597, 599, 600, 601, 615, 616, 617, 619, 620, 621, 624, 625, 626, 627, 628, 629, 630, 631, 633, 634, 635, 636, 639, 643, 652, 667, 673, 680, 686, 692, 694, 696, 697, 698, 699, 700, 701, 702, 706, 707, 708, 709, 710, 712, 713, 715, 716, 719, 720, 730, 731, 734, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 753, 754, 757, 758, 760, 762, 763, 764, 766, 767, 768, 769, 773, 774, 775, 776, 777, 778, 780, 781, 782, 783, 784, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 800, 801, 802, 804, 806, 807, 808, 812, 815, 816, 817, 821, 822, 823, 824, 827, 828, 829, 831, 832, 834, 847, 849, 850, 852, 853, 857, 860, 861, 862, 863, 866, 867, 868, 873, 878, 879, 880, 881, 882, 883, 884, 885, 886, 888, 889, 890, 892, 893, 894, 895, 896, 897, 898, 901, 902, 903, 904, 906, 908, 910, 911, 912, 913, 914, 916, 917, 938, 940, 943, 945, 948, 950, 952, 953, 954, 957, 962, 970, 983, 990, 993, 997, 1010, 1014, 1031, 1032, 1034, 1035, 1037, 1038, 1039, 1040, 1041, 1043, 1044, 1045, 1049, 1051, 1052, 1053, 1059, 1063, 1064, 1067, 1068, 1077, 1078, 1101, 1117, 1118, 1121, 1122, 1123, 1124, 1125, 1128, 1129, 1130, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1148, 1149, 1150, 1151, 1152, 1154, 1155, 1156, 1158, 1159, 1164, 1165, 1167, 1168, 1169, 1170, 1173, 1174, 1175, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1198, 1199, 1200, 1202, 1203, 1204, 1205, 1207, 1208, 1209, 1210, 1211, 1215, 1216, 1221, 1222, 1224, 1225, 1226, 1227, 1230, 1231, 1232, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1259, 1260, 1261, 1263, 1264, 1267, 1269, 1270, 1276, 1277, 1280, 1281, 1283, 1284, 1290, 1291, 1292, 1294, 1295, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1368, 1374, 1381, 1387, 1388, 1389, 1390, 1391, 1393, 1394, 1395, 1397, 1398, 1403, 1404, 1407, 1408, 1409, 1410, 1411, 1419, 1420, 1421, 1423, 1430, 1431, 1432, 1433, 1434, 1436, 1443, 1444, 1445, 1446, 1447, 1448, 1452, 1454, 1455, 1457, 1458, 1460, 1461, 1463, 1465, 1467, 1468, 1469, 1470, 1471, 1472, 1473, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1489, 1490, 1491, 1492, 1493, 1494, 1495, 1496, 1497, 1498, 1499, 1500, 1501, 1506, 1524, 1542, 1560, 1578, 1598, 1620, 1637, 1657, 1677, 1699, 1720, 1741, 1758, 1776, 1793, 1815, 1839, 1857, 1876, 1894, 1912, 1930, 1947, 1964, 1982, 2000, 2018, 2036, 2054, 2090, 2108, 2127, 2145, 2164, 2165, 2166, 2168, 2184, 2185, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2235, 2236, 2237, 2238, 2239, 2240, 2243, 2246, 2247, 2249, 2257, 2263, 2271, 2278, 2283, 2289, 2308], "default_categori": [1389, 2204], "default_expand": 2199, "default_fill_valu": [2235, 2249], "default_format": [256, 888, 1345, 1391, 1488, 1490, 2199, 2202, 2218], "default_handl": [258, 889, 2199], "default_index": [2194, 2201, 2203, 2283, 2294, 2307], "default_rank": [205, 778], "default_rng": 2201, "default_valu": [133, 708], "defaultdict": [252, 740, 885, 1176, 1233, 1279, 1469, 1486, 2199, 2246, 2294, 2298], "defens": [2, 2190], "defer": [2, 10, 74, 82, 98, 143, 169, 207, 208, 209, 210, 226, 227, 228, 264, 270, 274, 276, 277, 278, 583, 593, 621, 719, 781, 782, 783, 784, 801, 802, 880, 894, 898, 902, 903, 904, 1031, 1446, 2190, 2230, 2231, 2298], "defici": 2210, "defin": [2, 3, 13, 15, 16, 17, 18, 19, 25, 26, 28, 29, 30, 31, 32, 39, 63, 72, 73, 77, 81, 114, 197, 208, 218, 241, 247, 267, 269, 272, 273, 310, 440, 462, 532, 581, 582, 586, 597, 709, 740, 782, 793, 808, 852, 873, 880, 896, 900, 945, 1031, 1032, 1041, 1068, 1128, 1148, 1149, 1152, 1168, 1193, 1203, 1207, 1208, 1211, 1225, 1254, 1264, 1269, 1270, 1304, 1321, 1343, 1346, 1383, 1394, 1398, 1400, 1403, 1404, 1407, 1408, 1409, 1410, 1411, 1415, 1416, 1418, 1422, 1433, 1469, 1470, 1486, 1487, 1498, 1657, 1677, 1699, 1720, 1741, 1776, 2167, 2183, 2186, 2188, 2193, 2196, 2199, 2201, 2203, 2204, 2206, 2207, 2209, 2210, 2211, 2212, 2220, 2224, 2225, 2226, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2261, 2267, 2271, 2277, 2283, 2286, 2289, 2291, 2294, 2295, 2298, 2301, 2302, 2307], "definit": [2, 3, 8, 10, 102, 155, 156, 355, 412, 574, 730, 731, 752, 972, 1158, 1306, 1309, 1323, 1326, 1433, 2185, 2195, 2197, 2199, 2210, 2212, 2225, 2226, 2238, 2277, 2289], "deflat": 2199, "degrad": 2199, "degre": [27, 69, 91, 102, 109, 129, 137, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 225, 242, 244, 272, 275, 283, 321, 624, 800, 817, 910, 1158, 1173, 1195, 1199, 1205, 1215, 1256, 1260, 1267, 1292, 1294, 1297, 1308, 1316, 1318, 1320, 1323, 1325, 1333, 1335, 1337, 1458, 1487, 2199, 2201, 2271, 2283, 2289, 2294], "degrees_oth": 2199, "degrees_polygon": 2199, "del": [16, 17, 18, 19, 2191, 2194, 2199, 2214, 2223, 2235, 2248], "delai": 2190, "deleg": [10, 1482, 2199, 2220, 2221, 2249], "delet": [2, 6, 17, 20, 27, 34, 111, 228, 256, 341, 368, 482, 871, 888, 1345, 1391, 1488, 1490, 2184, 2186, 2202, 2214, 2217, 2220, 2221, 2226, 2256, 2302], "delevel": 2222, "delgaca01": 2191, "deliber": 2185, "delic": 13, "delight": [359, 360, 587, 588], "delim_whitespac": [16, 17, 18, 19, 1374, 1469, 1486, 2199, 2203, 2214, 2220, 2222, 2231, 2232, 2235, 2274, 2277, 2298, 2303, 2307], "delimit": [16, 17, 18, 19, 34, 63, 250, 251, 258, 272, 845, 862, 866, 883, 884, 889, 1354, 1374, 1390, 1434, 1468, 1469, 1476, 1486, 2203, 2208, 2214, 2218, 2220, 2226, 2232, 2234, 2235, 2236, 2238, 2239, 2243, 2253, 2254, 2271, 2283, 2289, 2294, 2298], "delitem": 2218, "deliv": 2195, "delta": [102, 144, 225, 242, 283, 624, 800, 817, 910, 1158, 1215, 1308, 1316, 1318, 1320, 1323, 1325, 1333, 1335, 1337, 2196, 2210, 2271, 2294, 2298, 2307], "delta_to_nanosecond": 2210, "demand": 2199, "demean": 2195, "demonstr": [2, 16, 19, 94, 380, 2185, 2186, 2187, 2199, 2202, 2207, 2211, 2241, 2294], "den": [2247, 2248], "deni": 1379, "denomin": [238, 282, 2186, 2212, 2216, 2277], "denot": [116, 292, 294, 332, 363, 445, 644, 646, 688, 916, 1049, 1134, 1345, 1391, 1468, 1469, 1476, 1486, 1487, 1488, 1490, 1498, 1500, 2194, 2199, 2202, 2249, 2277, 2302, 2307], "dens": [205, 236, 239, 778, 1142, 1191, 1252, 2199, 2206, 2211, 2218, 2220, 2231, 2232, 2241, 2242, 2246, 2253, 2289], "dense_index": [812, 2206], "dense_rank": [1191, 1252], "densiti": [26, 186, 194, 235, 762, 769, 809, 914, 1188, 1249, 1317, 1334, 1465, 2206, 2214, 2228, 2246, 2261], "density_kwd": 1465, "dep": [2186, 2227], "depend": [5, 6, 10, 11, 13, 34, 77, 81, 91, 107, 151, 153, 169, 213, 230, 251, 252, 253, 258, 261, 262, 268, 404, 437, 445, 477, 629, 788, 804, 823, 827, 832, 850, 857, 862, 866, 867, 884, 886, 889, 893, 909, 914, 973, 1095, 1118, 1142, 1164, 1192, 1204, 1221, 1253, 1343, 1345, 1391, 1402, 1406, 1415, 1421, 1431, 1435, 1446, 1458, 1467, 1469, 1470, 1474, 1475, 1476, 1477, 1482, 1483, 1486, 1488, 1490, 1498, 1499, 1500, 2184, 2185, 2186, 2187, 2188, 2190, 2191, 2193, 2195, 2197, 2199, 2201, 2202, 2203, 2205, 2207, 2208, 2210, 2211, 2212, 2213, 2216, 2220, 2221, 2222, 2226, 2230, 2231, 2232, 2235, 2240, 2250, 2263, 2304, 2308, 2310], "depict": [91, 190, 766, 1458], "depr_modul": 2235, "deprec": [2, 5, 10, 14, 16, 17, 18, 19, 66, 74, 78, 87, 89, 90, 124, 125, 127, 131, 134, 141, 146, 157, 162, 181, 182, 185, 200, 201, 210, 212, 213, 218, 225, 242, 245, 246, 255, 283, 286, 345, 377, 391, 392, 393, 394, 395, 398, 399, 540, 583, 586, 598, 601, 602, 681, 700, 701, 703, 709, 717, 720, 732, 759, 760, 774, 775, 779, 784, 787, 788, 793, 800, 817, 879, 910, 911, 916, 938, 1052, 1082, 1088, 1095, 1099, 1106, 1111, 1152, 1165, 1167, 1170, 1174, 1175, 1191, 1192, 1196, 1198, 1202, 1207, 1208, 1211, 1222, 1224, 1227, 1252, 1253, 1257, 1259, 1263, 1277, 1280, 1314, 1331, 1345, 1391, 1396, 1414, 1454, 1469, 1470, 1473, 1475, 1476, 1478, 1486, 1487, 1488, 1490, 1498, 1499, 1500, 1509, 1527, 1545, 1563, 1583, 1604, 1623, 1640, 1662, 1683, 1704, 1725, 1744, 1762, 1779, 1798, 1820, 1843, 1860, 1880, 1898, 1916, 1933, 1950, 1968, 1985, 2003, 2022, 2040, 2058, 2076, 2093, 2111, 2130, 2148, 2184, 2193, 2197, 2199, 2202, 2205, 2210, 2213, 2214, 2215, 2217, 2233, 2234, 2236, 2242, 2250, 2251, 2257, 2261, 2263, 2278, 2293, 2295, 2297, 2303], "deprecate_nonkeyword_argu": [2184, 2199, 2205, 2246], "deprecated_funct": 2, "deprecationwarn": [2, 2218, 2226, 2230, 2232, 2235, 2241, 2249, 2265, 2289, 2297, 2306, 2308, 2309], "depth": [1, 5, 21, 36, 491, 1375, 1384, 1443, 2185, 2224, 2243], "dequ": [2223, 2265], "der": [853, 861, 2271], "deregister_matplotlib_convert": [1464, 2172, 2250], "deriv": [7, 17, 21, 29, 33, 34, 740, 1397, 1430, 2190, 2191, 2195, 2197, 2201, 2207, 2212, 2256, 2294, 2298], "desc": [15, 18], "descend": [29, 176, 179, 233, 234, 281, 427, 436, 502, 754, 807, 808, 908, 1044, 1191, 1204, 1242, 1252, 1487, 2199, 2271, 2277, 2283], "descending_idx": 375, "descr0": 9, "descr1": 9, "describ": [1, 2, 3, 6, 9, 10, 15, 23, 28, 36, 98, 120, 144, 203, 256, 258, 445, 446, 460, 621, 888, 889, 953, 1078, 1126, 1387, 1400, 1421, 1423, 1463, 1469, 1482, 1483, 1486, 1793, 1857, 2090, 2108, 2167, 2184, 2185, 2188, 2190, 2192, 2195, 2197, 2199, 2202, 2207, 2210, 2211, 2218, 2220, 2222, 2225, 2228, 2229, 2230, 2231, 2238, 2246, 2254, 2256, 2257, 2260, 2269, 2271, 2294, 2295, 2298, 2299, 2300, 2302, 2307], "describe_opt": [2202, 2214], "descript": [1, 2, 3, 13, 28, 30, 34, 36, 107, 144, 629, 1118, 1164, 1221, 1345, 1391, 1488, 1490, 2172, 2195, 2196, 2199, 2200, 2201, 2202, 2208, 2210, 2214, 2230, 2255, 2257, 2265, 2271], "descriptor": [1400, 2271], "desend": 2199, "deseri": [2218, 2222, 2230, 2235, 2261], "deserv": 2238, "design": [13, 34, 35, 278, 288, 296, 318, 478, 639, 652, 673, 904, 940, 943, 948, 1402, 1415, 1416, 1419, 1423, 1436, 1448, 1487, 1498, 1741, 2185, 2193, 2197, 2199, 2204, 2207, 2210, 2215, 2224, 2228, 2235, 2238, 2243, 2246, 2289], "desir": [2, 13, 17, 65, 108, 189, 202, 207, 213, 226, 230, 251, 253, 264, 270, 423, 511, 597, 630, 765, 776, 781, 788, 801, 804, 884, 886, 898, 1063, 1145, 1190, 1207, 1208, 1251, 1314, 1331, 1344, 1345, 1391, 1431, 1473, 1476, 1488, 1490, 1497, 1793, 1815, 2186, 2191, 2195, 2197, 2199, 2202, 2218, 2235, 2241, 2246, 2249, 2283, 2298, 2302], "desktop": [5, 17], "despit": [3, 182, 376, 699, 760, 1354, 1388, 2241], "destin": [255, 2190, 2228, 2229, 2232, 2241], "destination_t": [255, 2307], "destruct": 2199, "destructor": 2267, "destructur": 2197, "det": [2197, 2231], "detail": [2, 3, 4, 5, 6, 9, 13, 15, 16, 17, 19, 24, 27, 28, 29, 31, 34, 35, 36, 66, 72, 73, 77, 83, 91, 102, 107, 120, 121, 122, 134, 144, 160, 163, 168, 186, 190, 203, 218, 241, 251, 253, 258, 260, 263, 265, 267, 268, 272, 273, 284, 322, 341, 349, 445, 562, 578, 581, 582, 586, 594, 629, 631, 677, 696, 697, 706, 709, 738, 741, 747, 749, 762, 766, 773, 777, 780, 790, 791, 792, 793, 795, 796, 797, 828, 836, 837, 838, 839, 840, 841, 842, 843, 844, 878, 884, 886, 889, 892, 895, 896, 900, 901, 912, 1148, 1149, 1152, 1158, 1164, 1168, 1188, 1192, 1203, 1207, 1208, 1211, 1221, 1225, 1249, 1253, 1264, 1269, 1270, 1304, 1321, 1387, 1395, 1413, 1418, 1421, 1431, 1458, 1469, 1470, 1471, 1475, 1476, 1478, 1479, 1485, 1486, 1487, 1498, 2185, 2186, 2188, 2190, 2194, 2195, 2197, 2199, 2204, 2207, 2210, 2212, 2213, 2218, 2222, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2265, 2271, 2277, 2294, 2307], "detect": [10, 148, 149, 177, 178, 251, 258, 265, 268, 272, 402, 413, 725, 726, 755, 756, 884, 889, 895, 1345, 1391, 1433, 1441, 1442, 1449, 1450, 1469, 1470, 1472, 1476, 1479, 1480, 1485, 1486, 1487, 1488, 1490, 2194, 2196, 2199, 2201, 2202, 2207, 2210, 2217, 2220, 2225, 2232, 2236, 2238, 2277, 2283, 2298], "detect_client_encod": 2246, "detect_typ": 2304, "determin": [2, 7, 12, 13, 16, 19, 55, 77, 88, 96, 112, 114, 116, 134, 191, 194, 197, 214, 252, 291, 314, 337, 341, 364, 375, 406, 408, 505, 532, 600, 619, 643, 667, 709, 767, 769, 815, 821, 832, 850, 857, 866, 957, 962, 970, 990, 997, 1014, 1031, 1034, 1118, 1142, 1148, 1149, 1172, 1190, 1201, 1207, 1208, 1229, 1251, 1262, 1345, 1391, 1397, 1403, 1404, 1411, 1415, 1430, 1469, 1470, 1472, 1486, 1488, 1490, 1498, 2185, 2186, 2187, 2188, 2191, 2192, 2194, 2195, 2197, 2199, 2202, 2209, 2210, 2211, 2212, 2219, 2224, 2226, 2229, 2241, 2246, 2249, 2265, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "determinist": [3, 4, 123, 698, 2164, 2277], "deutsch": [182, 760], "dev": [0, 1, 2, 5, 6, 10, 13, 14, 16, 17, 18, 19, 267, 896, 1031, 1433, 1455, 1461, 2185, 2188, 2193, 2197, 2199, 2211, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2244, 2245, 2246, 2249, 2250, 2251, 2252, 2253, 2254, 2255, 2256, 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, 2310], "dev0": [5, 13], "devcontain": 5, "devel": 2218, "develop": [4, 8, 10, 12, 13, 14, 16, 26, 36, 250, 883, 2197, 2199, 2202, 2207, 2210, 2211, 2218, 2228, 2229, 2239, 2241, 2246, 2249, 2261, 2265, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "devguid": 5, "deviat": [107, 242, 321, 629, 817, 1164, 1199, 1221, 1260, 1294, 1301, 1318, 1335, 1339, 2186, 2195, 2201, 2211, 2255], "devic": 2236, "devin": 2248, "df": [3, 10, 15, 16, 17, 18, 19, 23, 34, 63, 64, 65, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 85, 86, 89, 91, 92, 93, 96, 97, 99, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 128, 129, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 155, 156, 158, 159, 160, 161, 162, 163, 165, 166, 167, 168, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 202, 203, 204, 205, 206, 207, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 238, 239, 240, 242, 243, 244, 247, 248, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 266, 267, 268, 269, 271, 272, 273, 275, 276, 279, 280, 281, 282, 283, 284, 285, 306, 307, 326, 339, 341, 342, 345, 347, 348, 349, 350, 351, 352, 486, 505, 509, 577, 579, 580, 583, 584, 585, 591, 592, 593, 594, 596, 601, 616, 620, 625, 626, 627, 628, 629, 632, 635, 658, 659, 680, 693, 695, 696, 697, 700, 701, 702, 704, 705, 708, 712, 714, 717, 719, 720, 725, 726, 730, 731, 733, 738, 741, 743, 744, 750, 755, 756, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 778, 781, 784, 787, 788, 793, 798, 800, 802, 804, 806, 816, 817, 881, 882, 883, 884, 888, 889, 890, 896, 899, 900, 902, 910, 912, 913, 1073, 1074, 1075, 1077, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1209, 1210, 1212, 1214, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1225, 1226, 1227, 1228, 1229, 1233, 1236, 1237, 1238, 1239, 1240, 1241, 1244, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1260, 1261, 1262, 1263, 1265, 1267, 1268, 1272, 1273, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1284, 1288, 1289, 1292, 1293, 1304, 1321, 1323, 1336, 1345, 1348, 1350, 1354, 1358, 1360, 1362, 1367, 1368, 1369, 1374, 1375, 1377, 1380, 1381, 1382, 1383, 1384, 1385, 1386, 1387, 1389, 1390, 1391, 1394, 1395, 1396, 1397, 1398, 1399, 1400, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1430, 1432, 1433, 1434, 1436, 1437, 1438, 1439, 1440, 1441, 1442, 1445, 1449, 1450, 1453, 1454, 1455, 1458, 1459, 1461, 1462, 1463, 1464, 1465, 1466, 1468, 1471, 1473, 1474, 1475, 1476, 1480, 1481, 1482, 1485, 1487, 1488, 1489, 1490, 1498, 2166, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2235, 2238, 2241, 2243, 2246, 2249, 2257, 2260, 2263, 2264, 2265, 2266, 2271, 2273, 2276, 2277, 2278, 2283, 2289, 2294, 2295, 2298, 2302, 2307], "df1": [3, 16, 17, 18, 19, 63, 94, 95, 100, 163, 169, 208, 253, 267, 270, 274, 284, 337, 341, 346, 353, 741, 782, 886, 896, 912, 1146, 1156, 1347, 1431, 1446, 1448, 1494, 2184, 2186, 2191, 2192, 2193, 2197, 2199, 2200, 2207, 2214, 2216, 2218, 2223, 2225, 2228, 2232, 2235, 2241, 2278, 2283, 2289], "df1_mt": [2199, 2215], "df1_transpos": 274, "df2": [3, 16, 17, 18, 19, 63, 94, 95, 96, 100, 125, 163, 169, 207, 208, 213, 227, 253, 267, 270, 274, 282, 284, 341, 346, 353, 701, 741, 781, 782, 788, 802, 886, 896, 912, 1146, 1156, 1347, 1354, 1431, 1446, 1448, 1494, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2195, 2197, 2199, 2200, 2204, 2207, 2211, 2212, 2214, 2216, 2217, 2218, 2219, 2220, 2223, 2224, 2225, 2226, 2228, 2232, 2235, 2241, 2264, 2271, 2278, 2283, 2289, 2307], "df2_align": 2185, "df2_mt": [2199, 2215], "df2_t": 2186, "df2_transpos": 274, "df3": [3, 63, 1146, 2185, 2186, 2193, 2195, 2197, 2200, 2204, 2207, 2211, 2216, 2218], "df4": [1146, 2185, 2186, 2193, 2195, 2197, 2200, 2207, 2211, 2216, 2218], "df5": [1146, 2185, 2186], "df6": 1146, "df7": 1146, "df_0a": [240, 816], "df_1": 2199, "df_2": 2199, "df_a": [240, 816], "df_align": 2185, "df_bool": 2193, "df_box": 2211, "df_cat": 2188, "df_conflict": [267, 896], "df_conv": 2201, "df_coord": 2199, "df_copi": 162, "df_dc": 2199, "df_dec": 2195, "df_dropna": [2195, 2271], "df_empti": [117, 693], "df_fill": 2201, "df_fix": 2218, "df_group": 2232, "df_idx": 2197, "df_info": 144, "df_list": [2195, 2199, 2271], "df_main": 3, "df_mask": 2199, "df_mi": 2199, "df_mi_2": 2199, "df_miss": 2201, "df_mix": [2199, 2215], "df_mixed1": [2199, 2215], "df_mt": [2199, 2215], "df_multi": [2186, 2220, 2241], "df_multi_level_cols1": 241, "df_multi_level_cols2": 241, "df_multiindex": [271, 899], "df_multindex": [69, 109, 118, 129, 132, 135, 159, 161, 171, 173, 175, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275], "df_new": 2197, "df_not_necessarily_panda": [66, 1077], "df_orig": 2186, "df_p": 2186, "df_panda": [66, 1077], "df_parquet_byt": 1478, "df_pyarrow": [2203, 2298], "df_re": 2195, "df_set_idx": 2232, "df_single_level_col": 241, "df_tabl": 2218, "df_table2": 2218, "df_time": [218, 793], "df_tl": 2199, "df_to_join": 3, "df_udf": 2186, "df_with_duplicated_col": 2294, "df_with_miss": [2199, 2228], "dfa": [2186, 2191, 2197], "dfb": 2197, "dfc": [2197, 2218], "dfcat": 2199, "dfd": [2197, 2199, 2220], "dfeq": 2199, "dff": [2195, 2201, 2217], "dfg": 2195, "dfi": [2186, 2197, 2216, 2218, 2223], "dfin": 2199, "dfj": 2199, "dfj2": 2199, "dfjo": 2199, "dfju": 2199, "dfl": [2197, 2220], "dflt": 2199, "dfm": 2185, "dfmi": [440, 2185, 2186, 2197], "dfmi_with_on": 2197, "dfn": [97, 620], "dfp": 2210, "dfq": [2199, 2218], "dfs1": 2199, "dfs2": 2199, "dfsg": [16, 17, 18, 19, 2184, 2185, 2186, 2188, 2191, 2192, 2193, 2194, 2197, 2199, 2200, 2201, 2202, 2203, 2205, 2208, 2210, 2212, 2232, 2235, 2246, 2249, 2265, 2283, 2294, 2298, 2302, 2307], "dfss": 2199, "dfss2": 2199, "dft": [2186, 2204, 2210, 2232], "dft1": 2186, "dft2": [2210, 2231], "dft_minut": 2210, "dftd": 2199, "dg": 864, "di": [7, 13], "dia": 2199, "diagon": [99, 274, 622, 1155, 1213, 1465, 2211, 2219, 2261], "dialect": [16, 17, 18, 19, 267, 896, 1469, 1473, 1486, 2203, 2214, 2220, 2223, 2224, 2232, 2235, 2241, 2246, 2261, 2298, 2308], "dialog": [17, 1473], "dice": [193, 768, 2197], "dict": [2, 3, 12, 56, 60, 63, 65, 69, 72, 73, 77, 81, 89, 91, 109, 124, 125, 129, 130, 131, 134, 147, 148, 149, 168, 171, 173, 177, 178, 185, 186, 188, 189, 195, 199, 204, 206, 209, 210, 212, 215, 216, 217, 219, 220, 221, 222, 244, 251, 252, 253, 255, 256, 257, 258, 259, 260, 262, 263, 265, 266, 267, 268, 269, 272, 273, 275, 279, 280, 337, 339, 341, 346, 377, 405, 421, 505, 573, 581, 582, 586, 601, 613, 700, 701, 709, 725, 726, 740, 755, 756, 762, 764, 765, 770, 783, 784, 787, 833, 871, 884, 885, 886, 888, 889, 890, 892, 895, 896, 900, 1089, 1148, 1149, 1152, 1154, 1167, 1169, 1171, 1176, 1177, 1178, 1179, 1181, 1187, 1188, 1199, 1200, 1203, 1205, 1207, 1208, 1211, 1224, 1226, 1228, 1233, 1236, 1237, 1238, 1240, 1248, 1249, 1260, 1261, 1264, 1267, 1269, 1270, 1276, 1278, 1279, 1281, 1289, 1300, 1302, 1304, 1305, 1310, 1311, 1312, 1313, 1318, 1319, 1320, 1321, 1322, 1327, 1328, 1329, 1330, 1335, 1336, 1337, 1345, 1382, 1387, 1389, 1390, 1391, 1394, 1395, 1396, 1402, 1403, 1404, 1413, 1414, 1418, 1421, 1431, 1435, 1436, 1438, 1439, 1443, 1444, 1454, 1458, 1469, 1470, 1471, 1473, 1475, 1476, 1478, 1479, 1480, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1490, 1498, 1517, 1535, 1553, 1571, 1591, 1612, 1631, 1648, 1670, 1691, 1712, 1733, 1752, 1770, 1787, 1806, 1828, 1851, 1868, 1888, 1906, 1924, 1941, 1958, 1976, 1993, 2011, 2030, 2048, 2066, 2084, 2101, 2119, 2138, 2156, 2166, 2188, 2192, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2207, 2208, 2210, 2211, 2212, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2227, 2228, 2230, 2231, 2232, 2233, 2234, 2235, 2246, 2248, 2250, 2254, 2257, 2259, 2261, 2263, 2265, 2269, 2271, 2277, 2284, 2289, 2292, 2294, 2298, 2299, 2300, 2302, 2303, 2307], "dict_data": [1469, 1476, 1479, 1480, 1485, 1486, 1487], "dict_kei": 2275, "dictat": [34, 278, 286, 331, 686, 904, 1014, 2186, 2212, 2220, 2221, 2302], "dictionari": [2, 3, 9, 15, 16, 17, 18, 19, 23, 27, 32, 34, 60, 63, 65, 69, 75, 82, 85, 91, 101, 109, 129, 130, 171, 173, 183, 199, 204, 206, 212, 215, 216, 217, 220, 221, 222, 244, 252, 266, 267, 268, 275, 280, 573, 584, 593, 596, 613, 740, 761, 787, 846, 896, 1148, 1149, 1178, 1179, 1181, 1187, 1199, 1200, 1203, 1205, 1207, 1208, 1237, 1238, 1240, 1248, 1260, 1261, 1264, 1267, 1289, 1300, 1302, 1305, 1310, 1311, 1312, 1313, 1318, 1319, 1320, 1322, 1327, 1328, 1329, 1330, 1335, 1336, 1337, 1387, 1390, 1415, 1418, 1421, 1444, 1458, 1464, 1469, 1475, 1476, 1479, 1480, 1482, 1485, 1486, 1487, 2169, 2180, 2184, 2185, 2186, 2191, 2193, 2194, 2195, 2196, 2199, 2201, 2212, 2218, 2220, 2225, 2226, 2228, 2231, 2232, 2234, 2238, 2241, 2246, 2249, 2265, 2269, 2271, 2277, 2280, 2281, 2283, 2284, 2285, 2289, 2291, 2292, 2294, 2298, 2299, 2300, 2301, 2302, 2303, 2307], "dictionaryarrai": 2307, "dictlik": 77, "did": [5, 16, 17, 19, 134, 207, 213, 709, 781, 788, 2186, 2195, 2217, 2218, 2219, 2221, 2222, 2226, 2227, 2228, 2230, 2231, 2232, 2234, 2235, 2237, 2238, 2241, 2242, 2243, 2246, 2265, 2271, 2272, 2277, 2278, 2283, 2286, 2289, 2293, 2294, 2298, 2302, 2307], "didn": [13, 2191, 2197, 2210, 2218, 2220, 2221, 2222, 2223, 2224, 2230, 2232, 2235, 2249, 2265, 2277, 2283, 2298], "didx": [2210, 2222], "die": [193, 768], "diet": 211, "diff": [182, 760, 2184, 2186, 2195, 2211, 2218, 2219, 2222, 2226, 2228, 2232, 2235, 2241, 2265, 2271, 2272, 2277, 2278, 2289, 2294, 2298, 2302, 2305], "differ": [2, 3, 5, 8, 10, 13, 15, 16, 17, 18, 19, 23, 24, 25, 26, 28, 29, 31, 34, 63, 69, 72, 73, 74, 94, 96, 102, 108, 109, 111, 118, 119, 129, 132, 134, 135, 146, 159, 161, 163, 169, 171, 173, 175, 182, 187, 193, 199, 203, 204, 206, 209, 212, 215, 216, 217, 218, 220, 221, 222, 227, 233, 234, 244, 256, 263, 272, 273, 275, 276, 284, 291, 314, 365, 376, 427, 429, 445, 481, 494, 529, 581, 582, 583, 590, 617, 619, 630, 633, 643, 667, 682, 695, 699, 705, 709, 720, 741, 760, 763, 768, 787, 793, 802, 807, 808, 821, 836, 837, 838, 839, 840, 841, 842, 843, 844, 853, 856, 861, 862, 866, 874, 888, 893, 900, 902, 912, 916, 1010, 1018, 1035, 1117, 1148, 1149, 1152, 1158, 1165, 1187, 1211, 1222, 1248, 1269, 1270, 1280, 1289, 1304, 1318, 1320, 1321, 1335, 1337, 1344, 1347, 1354, 1387, 1388, 1390, 1398, 1402, 1403, 1404, 1433, 1436, 1446, 1455, 1461, 1469, 1470, 1486, 1494, 1498, 1500, 2167, 2184, 2185, 2186, 2187, 2190, 2191, 2193, 2196, 2198, 2199, 2200, 2201, 2204, 2205, 2206, 2207, 2209, 2210, 2211, 2212, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2224, 2225, 2226, 2228, 2230, 2231, 2233, 2238, 2239, 2241, 2246, 2247, 2248, 2249, 2253, 2254, 2257, 2261, 2265, 2270, 2272, 2273, 2277, 2283, 2289, 2294, 2296, 2298, 2299, 2300, 2302, 2303, 2306, 2308], "differenc": [2225, 2226], "different_column_typ": [119, 695], "different_data_typ": [119, 695], "differenti": [2198, 2235], "difficult": [2, 1433, 2211, 2228, 2241, 2249, 2289], "difficulti": 5, "digit": [203, 823, 828, 829, 836, 837, 838, 839, 840, 841, 842, 843, 844, 1489, 1498, 2208, 2210, 2218, 2230, 2232, 2249, 2265, 2283, 2302], "dim": [15, 821, 2218, 2232], "dimens": [10, 25, 34, 74, 110, 174, 229, 257, 269, 271, 274, 412, 494, 583, 752, 899, 1031, 1041, 1062, 1111, 1345, 1358, 1391, 1455, 1463, 1487, 1488, 1490, 2184, 2185, 2186, 2195, 2199, 2200, 2202, 2207, 2211, 2214, 2216, 2218, 2219, 2220, 2222, 2230, 2235, 2241, 2248, 2249, 2277, 2279, 2283], "dimension": [15, 16, 19, 22, 23, 25, 30, 34, 49, 63, 214, 229, 240, 286, 354, 459, 462, 463, 464, 481, 505, 573, 816, 821, 853, 861, 862, 866, 938, 1058, 1063, 1064, 1111, 1118, 1125, 1128, 1129, 1130, 1140, 1343, 1463, 1469, 1472, 1484, 1486, 2184, 2185, 2186, 2191, 2192, 2197, 2199, 2204, 2206, 2208, 2213, 2220, 2221, 2226, 2232, 2241, 2246, 2248, 2249, 2265, 2271, 2276, 2283, 2285, 2289, 2298, 2304], "diner": 18, "dinner": [16, 17, 18, 19], "dioxid": 30, "dir": [26, 1345, 1391, 1488, 1490, 2202, 2232, 2250, 2265, 2277, 2278], "direct": [2, 3, 4, 6, 13, 34, 146, 192, 205, 230, 233, 322, 502, 532, 562, 677, 720, 778, 804, 807, 1196, 1257, 1280, 1286, 1447, 2185, 2191, 2194, 2197, 2199, 2201, 2207, 2208, 2210, 2211, 2226, 2230, 2233, 2235, 2241, 2246, 2249, 2277, 2294, 2298], "directli": [2, 3, 6, 10, 16, 17, 29, 31, 50, 81, 111, 121, 210, 212, 240, 255, 280, 303, 304, 305, 306, 307, 308, 309, 316, 418, 421, 575, 605, 655, 656, 657, 658, 659, 660, 661, 670, 683, 696, 784, 787, 816, 1031, 1125, 1141, 1143, 1389, 1415, 1469, 1473, 1478, 1486, 2172, 2173, 2185, 2186, 2191, 2192, 2195, 2196, 2197, 2199, 2202, 2203, 2207, 2208, 2209, 2210, 2212, 2216, 2218, 2220, 2222, 2223, 2225, 2228, 2230, 2235, 2241, 2246, 2249, 2261, 2265, 2271, 2283, 2289, 2298], "directori": [1, 2, 4, 5, 6, 8, 13, 19, 22, 254, 262, 263, 1405, 1478, 2199, 2202, 2205, 2218, 2225, 2235, 2246, 2269, 2270, 2289], "dirti": 5, "disabl": [251, 256, 821, 884, 888, 2191, 2199, 2208, 2219, 2220, 2232, 2241, 2249, 2254, 2257, 2261, 2262, 2264, 2265, 2270, 2271, 2294], "disadvantag": 2201, "disallow": [203, 223, 342, 798, 1194, 1255, 2190, 2196, 2283, 2294, 2303], "disambigu": [9, 2166, 2200, 2249], "disappear": [2231, 2246], "discard": [369, 575, 634, 2186, 2191, 2195, 2197, 2199, 2200, 2232, 2238, 2289, 2302, 2307, 2310], "discern": 1392, "disclaim": 34, "disconnect": [2225, 2293], "discontinu": 1, "discourag": [2, 1741], "discov": [3, 1343, 2211, 2228, 2309, 2310], "discover": [10, 2228], "discoveri": 2232, "discret": [28, 108, 188, 189, 376, 445, 459, 630, 699, 764, 765, 1040, 1052, 1125, 1165, 1222, 1343, 1388, 1467, 2184, 2188, 2204, 2211], "discuss": [0, 1, 2, 3, 13, 14, 16, 17, 18, 19, 2185, 2186, 2196, 2201, 2210, 2218, 2224, 2241, 2298, 2308], "disjunct": 2193, "disk": [256, 346, 888, 1469, 1476, 1479, 1480, 1485, 1486, 1487, 2205, 2206, 2215, 2294], "dispatch": [10, 379, 1036, 1051, 2186, 2199, 2203, 2243, 2246, 2271, 2294], "dispers": [107, 629, 1164, 1221], "displai": [1, 2, 3, 6, 17, 18, 24, 26, 34, 91, 127, 137, 144, 157, 168, 187, 205, 257, 269, 703, 732, 750, 763, 778, 897, 1031, 1173, 1315, 1332, 1343, 1345, 1391, 1394, 1400, 1402, 1403, 1404, 1406, 1416, 1419, 1423, 1432, 1433, 1434, 1451, 1458, 1467, 1470, 1473, 1475, 1488, 1489, 1490, 2184, 2185, 2186, 2194, 2196, 2197, 2199, 2204, 2209, 2211, 2213, 2214, 2216, 2217, 2218, 2219, 2221, 2222, 2223, 2225, 2226, 2227, 2229, 2230, 2231, 2232, 2235, 2238, 2239, 2241, 2246, 2249, 2250, 2251, 2262, 2265, 2266, 2271, 2283, 2284, 2289, 2294, 2298, 2302, 2307], "display": [1403, 1404], "display_valu": 1433, "displayed_onli": [1475, 2241], "dispos": [267, 896, 1482], "dist": [13, 15, 2193, 2199, 2302], "distanc": [207, 208, 378, 417, 465, 489, 781, 782, 1447, 2186], "distinct": [15, 176, 179, 180, 188, 281, 376, 494, 699, 724, 764, 819, 820, 848, 869, 870, 872, 1123, 1194, 1255, 1388, 2206, 2208, 2218, 2228, 2232, 2235, 2241, 2249, 2261, 2277], "distinguish": [1094, 1476, 1487, 2199, 2207, 2210, 2211, 2218, 2241, 2271, 2277], "distribut": [3, 5, 13, 21, 22, 34, 91, 107, 137, 191, 192, 193, 194, 532, 629, 767, 768, 769, 1164, 1173, 1221, 1458, 1463, 2186, 2199, 2201, 2205, 2211, 2222, 2229, 2243, 2265, 2283], "div": [69, 129, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 1403, 2186, 2207, 2221, 2271], "dive": 30, "diverging_palett": 2207, "divers": 2222, "divert": 2241, "divid": [34, 69, 109, 121, 129, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 436, 631, 696, 780, 797, 901, 908, 1342, 1598, 1677, 2186, 2197, 2209, 2210, 2218, 2220, 2221, 2226, 2228, 2239, 2241, 2246, 2265, 2271, 2289, 2294], "divis": [39, 49, 69, 109, 129, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 303, 631, 655, 706, 780, 790, 797, 901, 1306, 1323, 2186, 2188, 2209, 2217, 2218, 2220, 2222, 2224, 2225, 2230, 2235, 2246, 2249, 2271, 2277, 2289, 2294, 2298, 2302, 2310], "divisor": [102, 225, 242, 283, 321, 624, 800, 817, 910, 1158, 1215, 1308, 1316, 1318, 1320, 1323, 1325, 1333, 1335, 1337, 2209, 2241, 2307], "divmod": [2186, 2209, 2232, 2241, 2249, 2277], "djvu": [2199, 2294], "dnarrai": 2302, "do": [0, 1, 2, 3, 4, 5, 6, 8, 10, 12, 13, 14, 15, 16, 17, 19, 21, 27, 31, 32, 33, 34, 39, 41, 44, 49, 50, 53, 60, 61, 62, 94, 98, 111, 119, 131, 134, 185, 200, 201, 207, 212, 214, 223, 225, 240, 242, 245, 249, 251, 258, 267, 268, 283, 331, 337, 346, 367, 389, 425, 429, 434, 455, 469, 473, 586, 605, 608, 613, 614, 615, 621, 633, 636, 686, 695, 709, 774, 775, 781, 787, 789, 798, 800, 816, 817, 829, 864, 879, 882, 884, 889, 893, 896, 910, 923, 1034, 1040, 1052, 1117, 1136, 1146, 1167, 1168, 1170, 1187, 1202, 1224, 1225, 1227, 1248, 1277, 1289, 1342, 1345, 1364, 1389, 1391, 1400, 1444, 1454, 1469, 1470, 1475, 1486, 1487, 1488, 1490, 1498, 1500, 2166, 2184, 2185, 2186, 2188, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2205, 2207, 2208, 2210, 2211, 2212, 2214, 2217, 2218, 2219, 2220, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2230, 2231, 2235, 2238, 2240, 2241, 2242, 2253, 2256, 2257, 2260, 2261, 2263, 2264, 2265, 2277, 2278, 2283, 2289, 2295, 2298, 2302, 2307], "do_open": [16, 17, 18, 19, 2199, 2235], "do_someth": [2197, 2199, 2228], "do_v": [830, 858], "do_v_": [830, 858], "doc": [1, 2, 3, 4, 5, 6, 13, 203, 265, 267, 271, 272, 322, 352, 459, 478, 510, 532, 562, 677, 862, 866, 895, 896, 899, 999, 1448, 1469, 1472, 1474, 1475, 1476, 1486, 1487, 2184, 2185, 2186, 2188, 2192, 2193, 2197, 2199, 2205, 2208, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2244, 2245, 2246, 2249, 2250, 2251, 2252, 2253, 2254, 2255, 2256, 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, 2310], "docker": 11, "dockerfil": [5, 2294], "docstr": [2, 10, 11, 13, 339, 2197, 2218, 2238, 2241, 2265, 2289], "doctest": [2, 4, 1492, 2199], "doctool": 2235, "doctype_html": 1432, "document": [0, 1, 3, 5, 10, 11, 13, 14, 15, 16, 17, 19, 22, 23, 34, 77, 120, 146, 163, 184, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 203, 255, 259, 272, 284, 337, 578, 631, 706, 720, 741, 747, 749, 762, 763, 764, 765, 766, 767, 768, 769, 770, 773, 777, 780, 790, 791, 792, 795, 796, 797, 862, 866, 878, 890, 901, 912, 999, 1188, 1192, 1249, 1253, 1300, 1302, 1310, 1311, 1312, 1313, 1319, 1327, 1328, 1329, 1330, 1336, 1387, 1404, 1433, 1453, 1469, 1473, 1475, 1482, 1483, 1486, 1487, 1498, 2169, 2172, 2180, 2184, 2185, 2186, 2193, 2194, 2195, 2197, 2199, 2201, 2202, 2205, 2207, 2208, 2210, 2211, 2213, 2216, 2218, 2220, 2221, 2222, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2235, 2246, 2255, 2258, 2261, 2271, 2277, 2291, 2294], "docutil": 6, "doe": [2, 3, 4, 8, 12, 13, 15, 16, 17, 19, 21, 28, 31, 32, 33, 34, 44, 62, 63, 79, 83, 90, 95, 110, 126, 134, 147, 151, 153, 163, 169, 176, 179, 184, 207, 212, 213, 240, 255, 256, 258, 261, 267, 278, 280, 284, 288, 296, 316, 318, 331, 341, 346, 407, 420, 425, 435, 445, 449, 467, 494, 503, 591, 594, 602, 615, 618, 637, 639, 652, 670, 673, 686, 702, 709, 741, 781, 787, 788, 799, 807, 816, 823, 888, 889, 893, 896, 904, 905, 912, 940, 943, 948, 957, 970, 997, 1014, 1031, 1032, 1041, 1045, 1068, 1118, 1131, 1146, 1202, 1263, 1265, 1271, 1342, 1387, 1389, 1403, 1404, 1411, 1416, 1433, 1446, 1453, 1484, 1741, 2163, 2185, 2186, 2188, 2190, 2191, 2192, 2194, 2195, 2199, 2200, 2201, 2202, 2203, 2204, 2207, 2210, 2211, 2218, 2220, 2221, 2222, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2251, 2265, 2271, 2273, 2277, 2279, 2283, 2285, 2289, 2294, 2298, 2299, 2302, 2307], "doesn": [3, 4, 13, 16, 17, 19, 77, 81, 163, 212, 262, 263, 284, 430, 586, 603, 741, 787, 831, 912, 1118, 1374, 2186, 2188, 2192, 2195, 2199, 2207, 2210, 2218, 2220, 2221, 2222, 2226, 2232, 2235, 2246, 2249, 2271, 2289, 2300], "dog": [3, 99, 102, 147, 152, 155, 156, 164, 170, 205, 210, 211, 219, 223, 241, 245, 260, 281, 285, 494, 730, 731, 740, 742, 746, 778, 784, 785, 798, 822, 823, 845, 846, 847, 860, 864, 879, 892, 913, 1146, 1155, 1158, 1165, 1180, 1199, 1205, 1222, 1239, 1260, 1265, 1267, 1284, 1365, 1373, 1387, 1433, 1441, 1442, 1449, 1450, 2184, 2186, 2195, 2204, 2208, 2249, 2271], "dok_matrix": 2236, "dollar": [203, 824, 1345, 1391, 1488, 1490, 2202, 2208], "dom": 2199, "domain": [2, 2194, 2210], "domin": 1421, "don": [2, 4, 6, 13, 16, 17, 18, 19, 22, 44, 96, 141, 172, 180, 188, 207, 208, 209, 240, 263, 281, 414, 436, 717, 748, 758, 764, 781, 782, 783, 816, 908, 1042, 1068, 1076, 1168, 1184, 1202, 1204, 1225, 1263, 1345, 1391, 1447, 1470, 1476, 1488, 1490, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2193, 2195, 2197, 2199, 2200, 2202, 2205, 2210, 2211, 2212, 2217, 2220, 2221, 2228, 2232, 2235, 2238, 2241, 2246, 2257, 2261, 2263, 2294], "donat": 34, "donatello": [251, 259, 884, 890], "done": [2, 5, 6, 10, 13, 15, 16, 17, 18, 19, 24, 27, 28, 31, 44, 63, 91, 97, 163, 169, 284, 620, 741, 912, 1275, 1343, 1394, 1403, 1404, 1446, 1458, 1459, 1464, 2185, 2186, 2188, 2190, 2191, 2197, 2199, 2207, 2208, 2211, 2212, 2214, 2218, 2228, 2230, 2234, 2235, 2246, 2271, 2289, 2298, 2307], "donkei": [835, 850, 859], "doo": 2195, "doolei": 32, "door": 2185, "dot": [3, 6, 91, 1443, 1458, 2199, 2201, 2202, 2211, 2216, 2255, 2263, 2264, 2271, 2283, 2302], "doubl": [3, 17, 532, 1416, 1476, 2193, 2199, 2212, 2225, 2234, 2246, 2302, 2307], "double_ag": 1387, "double_every_value_nonumba": 2193, "double_every_value_withnumba": 2193, "double_precis": [258, 889, 2199], "doublequot": [16, 17, 18, 19, 251, 884, 1469, 1486, 2199, 2203, 2220, 2232, 2235, 2298], "doubt": 8, "dove": 832, "down": [2, 4, 5, 6, 13, 146, 213, 240, 720, 788, 816, 1498, 1741, 2195, 2199, 2212, 2214, 2230, 2238, 2241, 2253, 2263], "downcast": [87, 89, 124, 125, 146, 181, 377, 598, 601, 700, 701, 720, 759, 1167, 1224, 1280, 1345, 1391, 1488, 1490, 1499, 2186, 2202, 2205, 2218, 2220, 2234, 2235, 2271, 2283, 2289, 2290, 2294, 2302, 2308], "downgrad": 2, "download": [4, 5, 13, 17, 19, 30, 31, 36, 1473, 2199, 2207, 2220, 2223, 2228, 2243, 2249, 2263, 2265, 2283, 2294], "download_wheel": 13, "downsampl": [213, 788, 1192, 1253, 1274, 1280, 2195, 2210, 2238, 2243, 2246], "downsid": [1152, 1211, 2194, 2302], "downstream": [9, 34, 2192, 2235, 2237, 2238, 2241, 2277], "downward": 30, "dozen": [2228, 2258], "dpkg": 5, "dplyr": [15, 2186, 2191, 2225, 2227], "dr": [2210, 2230], "draft": 1475, "drag": 17, "dragon": [207, 781], "draw": [137, 186, 187, 190, 193, 197, 713, 762, 763, 766, 768, 1173, 1188, 1230, 1249, 1345, 1391, 1398, 1433, 1457, 1465, 1488, 1490, 2197, 2202, 2207, 2211, 2217, 2220, 2222, 2226, 2228, 2232], "drawback": [2186, 2199], "drawn": [91, 96, 196, 619, 771, 1398, 1458, 2211, 2220], "drive": 13, "driven": [0, 11], "driver": [22, 1482, 1483, 2199, 2271], "drop": [4, 15, 59, 100, 112, 114, 117, 134, 198, 211, 213, 214, 228, 241, 255, 267, 345, 369, 371, 376, 429, 492, 499, 612, 634, 636, 692, 693, 699, 709, 772, 785, 788, 789, 873, 893, 896, 1051, 1146, 1156, 1168, 1225, 1343, 1345, 1388, 1391, 1433, 1467, 1469, 1486, 1488, 1490, 2184, 2185, 2190, 2191, 2192, 2194, 2195, 2196, 2197, 2199, 2200, 2202, 2211, 2217, 2218, 2220, 2222, 2223, 2226, 2228, 2229, 2230, 2231, 2232, 2234, 2235, 2236, 2241, 2242, 2243, 2245, 2246, 2247, 2248, 2249, 2250, 2251, 2257, 2259, 2263, 2264, 2265, 2271, 2275, 2277, 2278, 2284, 2285, 2286, 2289, 2291, 2294, 2295, 2298, 2300, 2302], "drop_dupl": [15, 17, 18, 111, 116, 373, 633, 692, 905, 2197, 2220, 2222, 2223, 2228, 2229, 2230, 2235, 2238, 2241, 2246, 2255, 2265, 2277, 2283, 2288, 2298, 2302, 2303], "drop_first": [1390, 2204], "drop_level": [285, 492, 913, 2185], "drop_whitespac": 873, "dropa": 2201, "dropbox": 2271, "dropdown": 13, "droplevel": [2246, 2277], "dropna": [3, 16, 17, 18, 19, 28, 111, 117, 134, 148, 149, 172, 177, 178, 180, 185, 241, 256, 281, 345, 346, 351, 402, 414, 436, 633, 693, 709, 725, 726, 748, 755, 756, 758, 888, 908, 1031, 1168, 1182, 1183, 1184, 1204, 1225, 1241, 1244, 1245, 1266, 1342, 1444, 1454, 2184, 2188, 2191, 2199, 2201, 2203, 2204, 2208, 2211, 2217, 2218, 2219, 2220, 2221, 2222, 2224, 2225, 2229, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2256, 2263, 2265, 2271, 2273, 2277, 2283, 2286, 2289, 2295, 2298, 2302], "dropna_t": [346, 1345, 1391, 1488, 1490, 2202, 2218], "dry": [15, 2207], "dst": [278, 286, 288, 296, 318, 331, 639, 652, 673, 686, 904, 940, 943, 948, 957, 970, 997, 1014, 2210, 2222, 2224, 2225, 2232, 2234, 2238, 2239, 2243, 2246, 2247, 2249, 2271, 2277, 2283, 2289, 2307], "dsttzinfo": [1004, 1012, 2186, 2210, 2222], "dt": [16, 17, 19, 31, 32, 82, 278, 288, 289, 290, 291, 292, 293, 294, 295, 296, 299, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 329, 331, 332, 333, 519, 547, 548, 549, 593, 904, 923, 940, 942, 943, 946, 947, 948, 949, 1069, 1071, 1072, 1109, 1498, 1512, 1530, 1548, 1566, 1586, 1598, 1607, 1626, 1643, 1657, 1665, 1677, 1686, 1699, 1707, 1720, 1728, 1747, 1765, 1782, 1797, 1801, 1819, 1823, 1838, 1846, 1863, 1883, 1901, 1919, 1936, 1953, 1971, 1988, 2006, 2025, 2043, 2061, 2079, 2096, 2114, 2133, 2151, 2180, 2188, 2196, 2197, 2199, 2203, 2206, 2208, 2209, 2210, 2217, 2223, 2225, 2226, 2229, 2230, 2231, 2232, 2235, 2238, 2241, 2265, 2271, 2273, 2274, 2277, 2283, 2289, 2293, 2298, 2299, 2300, 2302, 2303, 2307], "dt64": 2289, "dt_arrai": 2261, "dt_str": 1501, "dt_time": [1598, 1677], "dta": [19, 268, 1437, 1438, 1439, 1440, 1485, 2199, 2221, 2222, 2232, 2241, 2242, 2246, 2249, 2265, 2271, 2302], "dta_fil": 1349, "dtd": 2199, "dti": [330, 685, 2209, 2210, 2222, 2246, 2271], "dtindex": [2246, 2298], "dtl": 2298, "dtpye": 2246, "dtstring": 2210, "dtype": [2, 3, 9, 10, 12, 15, 16, 17, 18, 19, 23, 24, 25, 28, 31, 32, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 49, 51, 53, 54, 56, 57, 61, 62, 63, 66, 68, 70, 71, 72, 73, 75, 76, 77, 80, 82, 86, 89, 92, 93, 97, 98, 100, 101, 103, 104, 105, 106, 107, 108, 110, 116, 117, 119, 120, 121, 123, 124, 125, 130, 131, 139, 140, 141, 142, 143, 144, 146, 148, 149, 150, 151, 154, 155, 156, 160, 163, 164, 165, 166, 168, 169, 170, 176, 177, 178, 180, 182, 198, 200, 201, 202, 205, 207, 208, 209, 210, 212, 213, 223, 224, 225, 230, 232, 235, 237, 238, 240, 241, 242, 245, 252, 255, 256, 261, 262, 264, 266, 267, 268, 270, 273, 274, 276, 277, 278, 279, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 299, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 343, 344, 345, 352, 354, 355, 358, 359, 360, 361, 363, 364, 366, 367, 368, 369, 370, 371, 375, 376, 377, 378, 380, 381, 385, 387, 388, 389, 391, 392, 393, 394, 395, 398, 399, 401, 402, 404, 405, 407, 409, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 427, 428, 429, 430, 432, 433, 434, 435, 436, 437, 439, 441, 442, 443, 444, 457, 458, 459, 460, 461, 462, 463, 464, 465, 468, 469, 473, 475, 476, 477, 478, 481, 483, 489, 490, 492, 493, 504, 519, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 554, 556, 557, 558, 560, 562, 563, 564, 565, 566, 567, 568, 569, 573, 574, 575, 577, 578, 579, 580, 581, 582, 584, 585, 586, 587, 588, 589, 590, 592, 593, 599, 601, 603, 604, 606, 608, 609, 610, 614, 615, 616, 617, 618, 619, 620, 621, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 636, 637, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 673, 674, 675, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 688, 689, 692, 693, 694, 695, 696, 698, 699, 700, 701, 706, 707, 709, 710, 711, 715, 716, 717, 718, 719, 720, 724, 725, 726, 729, 730, 731, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 760, 772, 773, 774, 775, 776, 777, 778, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 794, 795, 796, 797, 798, 799, 800, 801, 804, 805, 806, 807, 808, 809, 811, 812, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 830, 831, 832, 833, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 876, 877, 878, 879, 880, 888, 891, 893, 894, 896, 897, 898, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 931, 932, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 951, 952, 1007, 1027, 1028, 1029, 1030, 1031, 1032, 1033, 1034, 1035, 1036, 1037, 1038, 1039, 1040, 1043, 1045, 1046, 1047, 1049, 1050, 1051, 1052, 1053, 1054, 1055, 1059, 1063, 1064, 1066, 1067, 1068, 1069, 1071, 1072, 1073, 1076, 1077, 1078, 1079, 1081, 1082, 1084, 1085, 1086, 1087, 1088, 1090, 1093, 1095, 1097, 1099, 1104, 1105, 1106, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1156, 1157, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1170, 1171, 1174, 1175, 1176, 1178, 1179, 1180, 1181, 1182, 1185, 1186, 1189, 1194, 1195, 1196, 1197, 1199, 1200, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1214, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1227, 1228, 1231, 1232, 1233, 1234, 1235, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1245, 1246, 1247, 1250, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1263, 1264, 1265, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1277, 1278, 1279, 1280, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1354, 1358, 1359, 1377, 1386, 1387, 1388, 1390, 1391, 1393, 1400, 1403, 1404, 1407, 1411, 1415, 1436, 1441, 1442, 1446, 1449, 1450, 1452, 1465, 1468, 1469, 1470, 1471, 1472, 1474, 1475, 1476, 1477, 1478, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1490, 1493, 1494, 1495, 1496, 1497, 1498, 1499, 1500, 1598, 1657, 1677, 1699, 1720, 2163, 2164, 2165, 2167, 2169, 2175, 2180, 2184, 2187, 2191, 2192, 2193, 2194, 2195, 2196, 2197, 2198, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2208, 2209, 2212, 2213, 2214, 2215, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2231, 2233, 2234, 2236, 2237, 2239, 2240, 2242, 2243, 2248, 2250, 2253, 2256, 2257, 2260, 2263, 2264, 2266, 2267, 2269, 2270, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2282, 2284, 2285, 2286, 2288, 2290, 2291, 2292, 2293, 2295, 2296, 2299, 2300, 2301, 2303, 2304, 2306, 2308, 2309], "dtype_backend": [16, 17, 18, 19, 97, 339, 620, 1468, 1469, 1470, 1471, 1472, 1475, 1476, 1477, 1478, 1481, 1482, 1483, 1484, 1486, 1487, 1499, 2184, 2199, 2203, 2205, 2232, 2235, 2299, 2300, 2301, 2307], "dtype_str": [2249, 2265], "dtype_typ": [2194, 2201, 2203, 2283, 2294, 2302, 2307], "dtypebackend": 2199, "dtypewarn": 2235, "dual": [1394, 2249], "duck": [137, 186, 334, 457, 538, 617, 618, 762, 832, 845, 1173, 1188, 1249, 2289], "duck_": [830, 858], "due": [2, 5, 13, 77, 278, 286, 288, 296, 318, 331, 573, 639, 652, 673, 686, 754, 757, 904, 940, 943, 948, 953, 957, 970, 997, 1014, 1242, 1243, 1348, 1373, 1374, 1379, 1419, 1487, 1499, 2188, 2193, 2199, 2210, 2211, 2212, 2220, 2222, 2225, 2230, 2235, 2241, 2242, 2246, 2248, 2249, 2250, 2261, 2265, 2272, 2283, 2289, 2294, 2298], "dull": [1342, 2204], "dummi": [16, 265, 408, 834, 895, 1389, 1390, 1479, 1485, 2204, 2208, 2219, 2232, 2246, 2249, 2271, 2294], "dummy_na": [1390, 2218], "dump": [2, 253, 258, 886, 889, 1431, 2199, 2246, 2289, 2290], "dup": [2219, 2222], "duplic": [1, 13, 18, 111, 112, 123, 145, 176, 179, 184, 207, 211, 214, 227, 228, 342, 369, 384, 400, 429, 499, 505, 633, 634, 698, 718, 754, 757, 781, 785, 789, 802, 856, 905, 1039, 1146, 1242, 1243, 1343, 1355, 1382, 1444, 1453, 1467, 1469, 1486, 1498, 2164, 2165, 2166, 2184, 2185, 2188, 2191, 2195, 2196, 2200, 2204, 2207, 2208, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2225, 2226, 2227, 2228, 2229, 2230, 2233, 2234, 2235, 2238, 2241, 2242, 2243, 2246, 2248, 2249, 2254, 2255, 2261, 2265, 2271, 2274, 2276, 2280, 2283, 2284, 2285, 2288, 2289, 2291, 2294, 2298, 2300, 2302, 2303, 2307, 2308], "duplicatelabelerror": [342, 2192, 2277], "duplicatewarn": 2218, "durat": [31, 682, 683, 916, 923, 934, 938, 1436, 1500, 2184, 2199, 2209, 2210, 2228, 2235, 2241, 2267, 2277, 2298, 2299, 2302, 2307], "durbin": [2186, 2227], "dure": [1, 2, 4, 16, 17, 18, 19, 31, 79, 97, 143, 203, 363, 591, 620, 719, 862, 866, 916, 1150, 1151, 1209, 1210, 1271, 1457, 1499, 2184, 2186, 2188, 2192, 2193, 2195, 2199, 2203, 2209, 2210, 2212, 2217, 2218, 2219, 2221, 2222, 2225, 2228, 2235, 2246, 2248, 2265, 2271, 2272, 2289, 2293, 2295, 2298, 2302, 2304, 2307], "durian": 2186, "dutch": 2220, "dwrap": 1433, "dx": 2193, "dynam": [212, 787, 1415, 2193, 2207, 2226, 2241], "dynamic_highlight": 1415, "e": [0, 2, 3, 9, 10, 13, 15, 16, 17, 18, 19, 22, 24, 28, 29, 30, 31, 34, 37, 46, 62, 72, 73, 74, 75, 76, 77, 81, 82, 84, 88, 89, 91, 92, 96, 97, 100, 102, 107, 111, 113, 114, 118, 123, 124, 125, 126, 132, 134, 135, 141, 146, 159, 160, 161, 167, 175, 182, 185, 192, 203, 205, 212, 213, 230, 234, 238, 251, 253, 254, 255, 257, 258, 259, 260, 262, 263, 265, 268, 269, 270, 272, 273, 276, 280, 282, 316, 322, 341, 345, 350, 377, 423, 445, 490, 491, 492, 493, 510, 511, 513, 515, 533, 535, 541, 562, 563, 578, 581, 582, 583, 584, 585, 593, 595, 600, 601, 604, 615, 616, 619, 620, 629, 631, 635, 670, 677, 694, 700, 701, 702, 706, 707, 709, 710, 715, 717, 720, 734, 738, 739, 740, 747, 749, 753, 760, 773, 777, 778, 780, 787, 788, 790, 791, 792, 795, 796, 797, 804, 808, 821, 823, 828, 831, 832, 835, 850, 857, 859, 865, 878, 884, 886, 889, 890, 892, 895, 898, 900, 901, 902, 907, 918, 927, 930, 957, 970, 997, 1035, 1042, 1069, 1071, 1072, 1076, 1077, 1078, 1097, 1109, 1110, 1115, 1117, 1145, 1148, 1149, 1152, 1156, 1158, 1164, 1167, 1207, 1208, 1211, 1221, 1224, 1231, 1269, 1270, 1272, 1275, 1280, 1286, 1304, 1306, 1314, 1315, 1317, 1321, 1323, 1332, 1342, 1343, 1344, 1345, 1374, 1389, 1391, 1393, 1397, 1430, 1431, 1433, 1443, 1445, 1447, 1448, 1454, 1458, 1467, 1469, 1470, 1471, 1472, 1475, 1476, 1477, 1478, 1479, 1482, 1483, 1485, 1486, 1487, 1488, 1490, 1497, 1498, 1500, 2108, 2166, 2167, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2222, 2223, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2250, 2257, 2263, 2265, 2266, 2271, 2273, 2277, 2278, 2283, 2289, 2290, 2294, 2295, 2297, 2298, 2299, 2301, 2302, 2307], "e225": [2184, 2191, 2193, 2195, 2211, 2228, 2230], "e402": 2199, "e46": [24, 25], "e501": [2193, 2212], "e6ab24a4f45147b49b54a662f0c412a3": 2199, "e6ffe6": 2207, "e711": 2201, "e83e8c": [1407, 1411, 2207], "e901": 2220, "e999": [1069, 1071, 1072, 2184, 2185, 2191, 2193, 2195, 2211, 2219, 2228, 2230], "ea": [2, 2271, 2302], "ea2d": 2302, "each": [0, 1, 2, 3, 5, 6, 7, 8, 9, 10, 12, 15, 16, 17, 18, 19, 21, 24, 25, 26, 27, 28, 29, 30, 31, 32, 35, 41, 44, 53, 65, 68, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 88, 97, 101, 102, 103, 104, 105, 106, 107, 115, 116, 119, 123, 125, 134, 137, 139, 140, 142, 146, 147, 148, 149, 150, 151, 152, 160, 162, 163, 168, 169, 172, 177, 178, 180, 186, 188, 189, 192, 193, 195, 196, 197, 205, 208, 212, 213, 218, 219, 223, 224, 230, 233, 234, 237, 241, 255, 257, 258, 259, 266, 267, 268, 269, 273, 281, 284, 348, 353, 369, 373, 401, 419, 432, 445, 462, 463, 478, 485, 487, 488, 491, 493, 494, 495, 541, 576, 577, 579, 580, 583, 584, 585, 586, 590, 591, 592, 599, 600, 608, 620, 623, 625, 626, 627, 628, 629, 632, 634, 648, 664, 669, 675, 683, 692, 695, 698, 701, 709, 718, 720, 724, 725, 726, 735, 737, 738, 740, 741, 755, 756, 762, 764, 765, 768, 770, 771, 778, 782, 786, 787, 788, 793, 794, 798, 804, 807, 819, 820, 821, 823, 824, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 846, 848, 849, 850, 856, 857, 858, 859, 863, 864, 867, 868, 869, 870, 872, 873, 875, 889, 890, 891, 893, 896, 912, 942, 946, 947, 949, 1034, 1037, 1038, 1056, 1060, 1065, 1128, 1129, 1133, 1134, 1135, 1137, 1141, 1142, 1145, 1147, 1148, 1149, 1150, 1151, 1152, 1154, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1172, 1173, 1174, 1175, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1214, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1229, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1260, 1261, 1262, 1263, 1264, 1265, 1267, 1268, 1269, 1270, 1273, 1276, 1281, 1283, 1284, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1305, 1322, 1336, 1342, 1343, 1344, 1345, 1389, 1390, 1391, 1393, 1394, 1395, 1396, 1397, 1398, 1403, 1404, 1407, 1408, 1409, 1414, 1416, 1418, 1421, 1423, 1430, 1432, 1433, 1434, 1438, 1439, 1441, 1442, 1443, 1444, 1446, 1447, 1448, 1449, 1450, 1455, 1457, 1461, 1463, 1467, 1469, 1470, 1472, 1475, 1482, 1483, 1484, 1486, 1487, 1488, 1490, 1493, 1498, 1506, 1524, 1741, 1857, 2090, 2108, 2166, 2167, 2184, 2185, 2188, 2193, 2194, 2196, 2197, 2199, 2200, 2202, 2204, 2205, 2207, 2210, 2211, 2212, 2213, 2214, 2217, 2218, 2219, 2220, 2222, 2223, 2225, 2226, 2227, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2253, 2255, 2265, 2271, 2277, 2283, 2288, 2289, 2291, 2294, 2298, 2302], "eager": [98, 621, 2241], "eagl": [617, 618, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 850, 859, 1170, 1176, 1197, 1227, 1233, 1258, 1277, 1279, 1293], "earli": 2214, "earlier": [213, 788, 1345, 1391, 1488, 1490, 2191, 2199, 2202, 2216, 2228, 2240, 2241, 2242, 2243, 2246, 2247, 2261, 2271], "earth": [196, 771], "eas": [10, 15, 33, 2225], "easi": [2, 3, 6, 12, 13, 15, 34, 35, 36, 119, 250, 695, 883, 1433, 1462, 2184, 2186, 2188, 2195, 2197, 2199, 2201, 2207, 2208, 2210, 2211, 2222, 2261], "easier": [3, 5, 10, 15, 251, 884, 1487, 2185, 2199, 2207, 2211, 2212, 2214, 2225, 2226, 2235, 2239, 2249, 2289], "easiest": [2, 22, 2197, 2240], "easili": [2, 3, 21, 32, 440, 1415, 2184, 2185, 2186, 2191, 2195, 2210, 2211, 2216, 2222, 2228, 2235, 2254, 2257], "easleda01": 2191, "east": [1345, 1391, 1488, 1490, 2202], "east_asian_width": [1345, 1391, 1488, 1490, 2202, 2228], "easter": [2172, 2210, 2221], "eastern": [331, 686, 905, 909, 1085, 1087, 1088, 2163, 2184, 2186, 2199, 2210, 2220, 2221, 2222, 2226, 2228, 2230, 2235], "easystyl": [1405, 2207], "eat": 2204, "eb6628": 1433, "echo": [267, 896], "econom": [1478, 2186, 2210], "ecosystem": [10, 34, 35, 2186, 2205, 2211, 2219, 2241], "ed": [2185, 2210, 2249], "edcba": 2186, "edg": [91, 137, 190, 213, 218, 713, 766, 788, 793, 830, 835, 858, 859, 1173, 1192, 1193, 1230, 1253, 1254, 1343, 1458, 1467, 2185, 2204, 2210, 2212, 2217, 2220, 2222, 2223, 2224, 2225, 2235, 2241, 2271, 2307], "edit": [5, 6, 13], "edith": 32, "editor": [6, 11], "edmonji01": 2191, "educ": 1204, "ef": 2246, "effect": [1, 16, 17, 19, 29, 35, 41, 53, 66, 75, 76, 77, 92, 98, 103, 104, 105, 106, 134, 151, 213, 219, 240, 249, 419, 573, 584, 585, 586, 589, 608, 616, 621, 625, 626, 627, 628, 709, 715, 716, 788, 794, 816, 882, 1060, 1145, 1152, 1202, 1211, 1231, 1232, 1263, 1344, 1397, 1406, 1415, 1430, 1469, 1486, 1498, 2185, 2186, 2190, 2195, 2197, 2199, 2200, 2202, 2207, 2208, 2210, 2218, 2219, 2220, 2222, 2224, 2232, 2239, 2249, 2257, 2265, 2271, 2272, 2277, 2293, 2294, 2298, 2302, 2307], "effici": [7, 153, 168, 1031, 1039, 1423, 1487, 2164, 2165, 2167, 2184, 2185, 2186, 2188, 2195, 2196, 2197, 2199, 2202, 2206, 2207, 2210, 2224, 2226, 2232, 2238, 2246, 2257, 2261, 2271, 2294], "effort": [2, 34, 2185, 2193], "efgh": [425, 2197, 2225], "eg": [540, 824, 1345, 1391, 1398, 1482, 1483, 1488, 1490, 1501, 2202, 2225, 2230, 2278], "egen": 19, "egg": [341, 1184, 2197, 2241], "egypt": [2210, 2217], "eh": 2238, "either": [1, 2, 5, 6, 8, 13, 16, 17, 18, 19, 22, 25, 29, 30, 39, 40, 72, 73, 77, 90, 98, 118, 126, 132, 135, 153, 159, 161, 169, 175, 197, 207, 209, 210, 228, 230, 234, 251, 263, 268, 273, 280, 286, 300, 301, 373, 381, 401, 420, 429, 446, 460, 468, 490, 532, 533, 578, 581, 582, 602, 621, 631, 692, 694, 702, 706, 707, 710, 734, 739, 747, 749, 753, 773, 777, 780, 784, 789, 790, 791, 792, 795, 796, 797, 799, 804, 808, 823, 878, 884, 900, 901, 916, 953, 1053, 1061, 1067, 1091, 1119, 1126, 1132, 1148, 1149, 1178, 1179, 1181, 1183, 1199, 1200, 1203, 1205, 1207, 1208, 1237, 1238, 1240, 1244, 1260, 1261, 1264, 1267, 1269, 1270, 1300, 1302, 1304, 1305, 1310, 1311, 1312, 1313, 1318, 1319, 1320, 1321, 1322, 1327, 1328, 1329, 1330, 1335, 1336, 1337, 1344, 1345, 1391, 1394, 1395, 1403, 1417, 1446, 1448, 1465, 1469, 1470, 1475, 1480, 1482, 1486, 1487, 1488, 1490, 1793, 1815, 2167, 2185, 2186, 2188, 2190, 2191, 2193, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2204, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2216, 2217, 2219, 2224, 2225, 2226, 2228, 2230, 2235, 2238, 2241, 2246, 2261, 2264, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "el": 871, "elect": 2199, "elem_col": [272, 2199], "element": [3, 10, 12, 25, 26, 27, 32, 34, 55, 65, 68, 69, 75, 76, 78, 80, 90, 91, 92, 94, 95, 96, 101, 102, 108, 109, 113, 114, 118, 119, 120, 123, 125, 128, 129, 132, 135, 139, 140, 141, 144, 147, 148, 149, 152, 158, 159, 161, 162, 163, 168, 169, 171, 172, 173, 175, 176, 177, 178, 179, 180, 182, 192, 199, 204, 205, 206, 207, 208, 212, 215, 216, 217, 219, 220, 221, 222, 223, 224, 225, 231, 238, 240, 242, 244, 249, 257, 259, 269, 272, 275, 281, 283, 284, 310, 321, 356, 357, 359, 360, 363, 367, 370, 375, 378, 380, 386, 389, 403, 405, 407, 414, 415, 417, 419, 420, 424, 429, 430, 436, 445, 459, 462, 465, 483, 487, 489, 492, 541, 577, 578, 584, 585, 586, 587, 588, 592, 599, 602, 616, 617, 618, 624, 630, 631, 632, 633, 635, 648, 664, 669, 675, 683, 694, 695, 698, 701, 704, 706, 707, 710, 717, 718, 724, 725, 726, 727, 733, 734, 739, 741, 745, 747, 749, 753, 754, 755, 756, 757, 758, 760, 772, 773, 776, 777, 778, 780, 781, 782, 786, 787, 790, 791, 792, 795, 796, 797, 798, 799, 800, 805, 811, 812, 815, 816, 817, 821, 823, 824, 827, 831, 833, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 853, 861, 862, 864, 866, 867, 878, 882, 890, 897, 901, 908, 910, 912, 942, 945, 946, 947, 949, 1034, 1037, 1038, 1060, 1061, 1064, 1112, 1125, 1128, 1141, 1142, 1143, 1148, 1149, 1150, 1151, 1158, 1159, 1165, 1166, 1167, 1168, 1169, 1174, 1175, 1177, 1184, 1194, 1202, 1204, 1207, 1208, 1209, 1210, 1215, 1216, 1222, 1223, 1225, 1226, 1236, 1242, 1243, 1245, 1255, 1263, 1276, 1281, 1287, 1298, 1299, 1306, 1308, 1315, 1316, 1318, 1320, 1323, 1325, 1332, 1333, 1335, 1337, 1344, 1345, 1391, 1393, 1395, 1396, 1398, 1406, 1413, 1414, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1432, 1433, 1434, 1441, 1442, 1446, 1448, 1449, 1450, 1455, 1458, 1469, 1475, 1486, 1487, 1488, 1490, 1495, 1497, 1498, 2167, 2184, 2185, 2186, 2188, 2191, 2194, 2195, 2197, 2198, 2199, 2202, 2206, 2207, 2208, 2209, 2210, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2226, 2228, 2231, 2232, 2235, 2237, 2238, 2241, 2245, 2246, 2249, 2255, 2256, 2261, 2264, 2266, 2271, 2272, 2273, 2277, 2279, 2283, 2289, 2290, 2294, 2297, 2298, 2299, 2302, 2303, 2307], "elementtre": 2199, "elementwis": [21, 77, 78, 118, 132, 135, 159, 161, 162, 175, 183, 212, 461, 469, 473, 586, 617, 740, 761, 787, 1127, 1136, 1395, 1396, 1413, 1414, 2207, 2255, 2302], "elems_onli": [1487, 2199], "eleph": [188, 189, 764, 765, 845], "elif": [1433, 2185, 2191, 2192, 2194, 2197, 2199, 2200, 2203, 2207, 2212, 2246, 2283, 2298, 2302], "elimin": [2199, 2217, 2227], "elisabeth": 392, "elizabeth": [23, 25], "elk": [65, 260, 892, 2298], "ellips": 2220, "ellipsi": [1076, 2197, 2202, 2231, 2238, 2246, 2289], "els": [1, 2, 4, 13, 16, 17, 18, 19, 34, 44, 94, 137, 146, 148, 149, 186, 262, 263, 382, 402, 435, 466, 469, 720, 725, 726, 762, 1035, 1150, 1151, 1173, 1188, 1209, 1210, 1211, 1249, 1280, 1396, 1403, 1404, 1413, 1414, 1433, 1467, 1480, 2184, 2185, 2192, 2194, 2195, 2197, 2199, 2200, 2201, 2203, 2205, 2207, 2208, 2210, 2212, 2235, 2265, 2271, 2283, 2294, 2298, 2302, 2307], "email": 6, "embark": [24, 25, 28, 29, 32], "embed": [1345, 1391, 1488, 1490, 2199, 2202, 2218, 2220, 2271], "embrac": 2, "embreal01": 2191, "emit": [2, 4, 14, 1041, 1469, 1486, 2190, 2219, 2238, 2241, 2246, 2290, 2294, 2295, 2297, 2302, 2308], "emploi": [274, 1793, 1815, 2217], "empti": [2, 3, 13, 17, 26, 46, 75, 76, 123, 128, 139, 140, 148, 149, 158, 177, 178, 200, 201, 224, 245, 252, 272, 402, 413, 419, 449, 467, 571, 584, 585, 636, 698, 704, 715, 716, 725, 726, 733, 755, 756, 774, 775, 786, 821, 853, 861, 865, 879, 885, 1060, 1063, 1073, 1117, 1131, 1174, 1175, 1183, 1231, 1232, 1244, 1342, 1356, 1395, 1396, 1413, 1414, 1422, 1423, 1469, 1470, 1475, 1486, 1487, 2184, 2185, 2186, 2192, 2193, 2194, 2195, 2197, 2201, 2204, 2208, 2211, 2212, 2213, 2215, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2239, 2240, 2241, 2242, 2246, 2247, 2248, 2255, 2261, 2263, 2266, 2267, 2271, 2272, 2273, 2274, 2277, 2279, 2283, 2285, 2288, 2290, 2291, 2294, 2295, 2297, 2299, 2300, 2302, 2306, 2307, 2308], "empty_col": 2249, "empty_lik": [2218, 2293], "emptydataerror": [2231, 2235, 2241, 2295], "emptylin": 2199, "emul": [2190, 2194, 2289], "en": [633, 923, 1272, 1275, 1306, 1323, 1457, 1793, 1815, 2199, 2307], "en_gb": 1491, "en_u": [291, 314, 643, 667], "enabl": [2, 5, 6, 16, 19, 22, 26, 29, 31, 74, 82, 98, 143, 169, 207, 208, 209, 210, 226, 227, 264, 270, 274, 276, 277, 278, 351, 385, 583, 593, 621, 711, 719, 781, 782, 783, 784, 801, 802, 880, 894, 898, 902, 903, 904, 1070, 1119, 1345, 1350, 1391, 1446, 1469, 1473, 1476, 1486, 1488, 1490, 2184, 2185, 2186, 2194, 2196, 2197, 2199, 2200, 2202, 2207, 2210, 2214, 2216, 2218, 2219, 2220, 2222, 2224, 2225, 2226, 2228, 2230, 2232, 2235, 2241, 2246, 2249, 2253, 2258, 2259, 2261, 2263, 2264, 2265, 2277, 2283, 2294, 2298, 2300, 2301, 2302, 2307, 2308], "encapsul": 2199, "enclos": [1345, 1391, 1488, 1490, 2202], "encod": [3, 9, 16, 17, 18, 19, 144, 251, 256, 257, 258, 259, 269, 272, 346, 351, 376, 699, 825, 884, 888, 889, 890, 1036, 1039, 1051, 1345, 1388, 1390, 1391, 1431, 1432, 1433, 1434, 1469, 1474, 1475, 1476, 1480, 1486, 1487, 1488, 1490, 2164, 2165, 2195, 2199, 2202, 2203, 2204, 2214, 2218, 2220, 2221, 2222, 2225, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2239, 2241, 2242, 2246, 2249, 2257, 2263, 2265, 2266, 2267, 2271, 2277, 2278, 2282, 2283, 2289, 2292, 2294, 2298], "encode_chunk": [16, 17, 18, 19, 2199, 2235], "encoding_error": [16, 17, 18, 19, 1469, 1476, 1486, 2199, 2203, 2232, 2235, 2283, 2289, 2298], "encompass": 228, "encount": [2, 10, 22, 1354, 1356, 1372, 1373, 1469, 1476, 1486, 2172, 2186, 2193, 2199, 2218, 2221, 2231, 2232, 2238, 2294, 2298], "encourag": [2, 4, 13, 22, 212, 787, 2186, 2193, 2195, 2199, 2238, 2265, 2277, 2302, 2307], "end": [3, 19, 30, 31, 35, 79, 88, 91, 97, 121, 133, 186, 187, 190, 208, 213, 233, 234, 249, 251, 257, 259, 269, 270, 286, 288, 292, 294, 296, 307, 318, 331, 332, 345, 425, 426, 427, 437, 459, 460, 468, 476, 477, 491, 493, 502, 506, 510, 511, 519, 531, 533, 541, 549, 561, 563, 591, 600, 620, 639, 644, 646, 651, 652, 659, 673, 676, 686, 688, 696, 708, 762, 763, 766, 782, 788, 807, 808, 823, 827, 830, 831, 835, 858, 859, 862, 865, 867, 873, 882, 884, 890, 898, 940, 943, 948, 979, 981, 1008, 1044, 1073, 1126, 1132, 1139, 1145, 1146, 1172, 1188, 1201, 1202, 1229, 1249, 1262, 1263, 1344, 1345, 1391, 1392, 1393, 1394, 1397, 1403, 1404, 1430, 1433, 1452, 1458, 1468, 1469, 1470, 1471, 1472, 1475, 1476, 1477, 1478, 1481, 1482, 1483, 1484, 1486, 1487, 1488, 1490, 1497, 1499, 1506, 1510, 1513, 1515, 1524, 1528, 1531, 1533, 1542, 1546, 1549, 1551, 1560, 1564, 1567, 1569, 1578, 1584, 1587, 1589, 1598, 1605, 1608, 1610, 1620, 1624, 1627, 1629, 1637, 1641, 1644, 1646, 1657, 1663, 1666, 1668, 1677, 1684, 1687, 1689, 1705, 1708, 1710, 1720, 1726, 1729, 1731, 1745, 1748, 1750, 1763, 1766, 1768, 1776, 1780, 1783, 1785, 1793, 1799, 1802, 1804, 1815, 1821, 1824, 1826, 1844, 1847, 1849, 1857, 1861, 1864, 1866, 1881, 1884, 1886, 1899, 1902, 1904, 1917, 1920, 1922, 1930, 1934, 1937, 1939, 1947, 1951, 1954, 1956, 1969, 1972, 1974, 1982, 1986, 1989, 1991, 2000, 2004, 2007, 2009, 2023, 2026, 2028, 2036, 2041, 2044, 2046, 2054, 2059, 2062, 2064, 2077, 2080, 2082, 2090, 2094, 2097, 2099, 2108, 2112, 2115, 2117, 2127, 2131, 2134, 2136, 2145, 2149, 2152, 2154, 2185, 2188, 2191, 2195, 2197, 2199, 2202, 2204, 2205, 2208, 2209, 2210, 2212, 2214, 2220, 2221, 2222, 2225, 2228, 2230, 2232, 2238, 2239, 2241, 2242, 2248, 2261, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2300, 2302, 2307], "end_dai": [213, 345, 788, 2210, 2283], "end_dat": 2210, "end_slic": [2185, 2197], "end_tim": [88, 301, 513, 515, 531, 535, 561, 600, 676, 2230, 2264], "endblock": 2207, "endem": 2199, "endhead": [16, 17, 18, 19, 2199, 2235], "endian": [2194, 2225, 2228, 2241, 2249, 2271], "endors": 34, "endow": [1168, 1203, 1264], "endpoint": [445, 455, 469, 473, 1133, 1136, 1137, 1393, 1452, 1497, 2184, 2197, 2210, 2229, 2235, 2238, 2248, 2249, 2257, 2287, 2298], "endpoint_url": 2199, "endswith": [823, 867, 2208, 2274, 2294, 2307], "energi": [34, 1433], "enforc": [14, 63, 126, 203, 325, 328, 431, 433, 702, 950, 952, 2193, 2226, 2232, 2265, 2297, 2298], "engag": 0, "engformatt": [1345, 1391, 1488, 1490, 2202], "engin": [5, 16, 17, 18, 19, 22, 34, 77, 121, 122, 203, 218, 253, 255, 262, 263, 267, 337, 341, 696, 697, 793, 886, 896, 1148, 1149, 1178, 1179, 1181, 1193, 1199, 1200, 1203, 1205, 1207, 1208, 1237, 1238, 1240, 1254, 1260, 1261, 1264, 1267, 1300, 1302, 1305, 1310, 1311, 1312, 1313, 1318, 1319, 1320, 1322, 1327, 1328, 1329, 1330, 1335, 1336, 1337, 1345, 1368, 1369, 1373, 1374, 1387, 1391, 1431, 1469, 1470, 1473, 1475, 1476, 1478, 1482, 1483, 1486, 1488, 1490, 2184, 2194, 2195, 2197, 2202, 2203, 2205, 2207, 2214, 2218, 2220, 2222, 2224, 2225, 2227, 2228, 2229, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2239, 2241, 2249, 2265, 2271, 2274, 2277, 2279, 2283, 2286, 2291, 2292, 2294, 2300, 2301, 2302, 2303, 2304], "engine_kwarg": [77, 253, 262, 337, 341, 886, 1148, 1149, 1178, 1179, 1181, 1199, 1200, 1203, 1205, 1207, 1208, 1237, 1238, 1240, 1260, 1261, 1264, 1267, 1300, 1302, 1305, 1310, 1311, 1312, 1313, 1318, 1319, 1320, 1322, 1327, 1328, 1329, 1330, 1335, 1336, 1337, 1431, 1470, 2193, 2194, 2195, 2199, 2212, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "english": [4, 291, 314, 643, 667, 873, 962, 990, 2197], "enh": [1, 2253], "enh1b": 2253, "enh56": 2253, "enh5c": 2254, "enh61": 2254, "enhanc": [2, 11, 13, 120, 259, 890, 1387, 2186, 2195, 2196, 2205, 2208, 2212, 2213, 2214, 2215, 2261, 2262, 2263, 2264], "enhdc": 2253, "enjoi": 2235, "enlarg": [2196, 2218, 2222, 2256, 2278, 2294, 2300], "enlist": [21, 24, 30], "enough": [3, 2163, 2186, 2199, 2206, 2207, 2214, 2289], "ensur": [1, 2, 4, 6, 8, 10, 12, 13, 30, 34, 63, 77, 160, 223, 240, 261, 738, 798, 816, 823, 873, 893, 1031, 1118, 1433, 1469, 1486, 2168, 2188, 2192, 2199, 2200, 2203, 2210, 2220, 2225, 2229, 2249, 2250, 2251, 2265, 2271, 2285, 2294, 2298, 2307], "ensure_clean": 2, "ensure_index": [2194, 2201, 2203, 2283, 2294, 2307], "ensure_string_arrai": 2298, "ensure_wrapped_if_datetimelik": 2298, "entail": 35, "enter": [6, 17, 547, 548, 1403], "entir": [2, 17, 21, 28, 74, 75, 76, 82, 89, 103, 104, 105, 106, 117, 121, 122, 124, 125, 139, 140, 141, 160, 218, 225, 242, 267, 283, 321, 510, 583, 584, 585, 586, 593, 601, 625, 626, 627, 628, 693, 696, 697, 700, 701, 715, 716, 717, 738, 793, 800, 817, 832, 850, 896, 910, 1040, 1052, 1167, 1169, 1174, 1175, 1177, 1193, 1203, 1224, 1226, 1231, 1232, 1236, 1254, 1264, 1276, 1281, 1395, 1397, 1398, 1406, 1408, 1409, 1411, 1421, 1430, 1469, 1470, 1486, 2184, 2186, 2188, 2195, 2197, 2199, 2200, 2205, 2207, 2208, 2212, 2213, 2214, 2218, 2222, 2223, 2225, 2227, 2228, 2230, 2238, 2240, 2241, 2271, 2277, 2283, 2289, 2294, 2298, 2301], "entireti": [2199, 2230], "entiti": [34, 2197, 2207, 2246], "entri": [2, 10, 16, 24, 28, 30, 74, 79, 89, 91, 101, 114, 124, 125, 144, 146, 148, 149, 150, 163, 177, 178, 184, 185, 190, 207, 251, 266, 284, 363, 369, 376, 402, 413, 583, 591, 601, 634, 636, 699, 700, 701, 720, 725, 726, 741, 755, 756, 766, 781, 812, 845, 846, 884, 912, 953, 1040, 1042, 1051, 1052, 1134, 1148, 1149, 1167, 1169, 1172, 1177, 1186, 1201, 1207, 1208, 1224, 1226, 1229, 1236, 1247, 1262, 1276, 1281, 1342, 1358, 1388, 1433, 1444, 1453, 1454, 1458, 1495, 1498, 2186, 2191, 2194, 2199, 2202, 2204, 2206, 2210, 2211, 2212, 2218, 2219, 2222, 2225, 2226, 2229, 2231, 2232, 2235, 2238, 2246, 2265, 2271, 2277, 2283, 2289, 2298, 2302, 2307], "entry_point": 10, "entrypoint": 2250, "enum": [1182, 1241, 1436, 2199], "enumer": [15, 376, 699, 1036, 1051, 1349, 1388, 1416, 2194, 2197, 2205, 2220], "env": [1, 5, 1394, 1405, 2207, 2230], "env_dir": 5, "environ": [2, 4, 6, 8, 11, 22, 26, 34, 35, 98, 203, 255, 259, 621, 890, 1345, 1391, 1394, 1401, 1405, 1433, 1473, 1488, 1490, 2196, 2197, 2199, 2207, 2217, 2220, 2236, 2248, 2265, 2289, 2294, 2298], "enwikisourc": [2199, 2294], "eof": [2228, 2237], "eom": [230, 804], "ep": 2212, "epoch": [213, 258, 345, 510, 788, 889, 953, 1498, 2199, 2235, 2246, 2271, 2274], "epsilon": 144, "eq": [119, 132, 135, 147, 159, 161, 175, 695, 2186, 2232, 2246, 2261, 2307], "equal": [1, 62, 75, 76, 89, 96, 118, 124, 125, 132, 134, 135, 146, 147, 159, 161, 175, 191, 194, 202, 205, 212, 214, 223, 249, 257, 259, 269, 328, 350, 356, 357, 362, 377, 380, 386, 389, 396, 397, 433, 434, 459, 462, 490, 498, 584, 585, 601, 615, 619, 694, 700, 701, 707, 709, 715, 716, 720, 734, 753, 767, 769, 778, 787, 798, 874, 882, 890, 893, 952, 1125, 1128, 1167, 1194, 1202, 1224, 1231, 1232, 1255, 1280, 1306, 1323, 1343, 1344, 1345, 1377, 1390, 1391, 1447, 1457, 1467, 1478, 1488, 1490, 1493, 1494, 1495, 1496, 1578, 1598, 2186, 2191, 2193, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2208, 2210, 2211, 2212, 2218, 2219, 2222, 2224, 2225, 2226, 2227, 2228, 2231, 2232, 2234, 2235, 2236, 2238, 2239, 2240, 2241, 2242, 2243, 2246, 2249, 2261, 2265, 2269, 2271, 2275, 2277, 2281, 2283, 2287, 2288, 2289, 2294, 2298, 2299, 2304, 2307], "equat": [207, 208, 378, 417, 465, 489, 781, 782, 2212], "equidist": 1280, "equilibrium": 2211, "equip": [22, 2184, 2186, 2199, 2208], "equiti": [1433, 2199, 2220], "equiv": [1494, 1495, 1496, 2197, 2298], "equival": [3, 10, 15, 16, 17, 19, 20, 21, 24, 25, 32, 34, 65, 69, 75, 76, 79, 91, 103, 104, 105, 106, 109, 111, 116, 118, 129, 132, 135, 136, 144, 147, 159, 161, 163, 164, 170, 171, 173, 175, 176, 179, 186, 199, 203, 204, 206, 207, 208, 209, 212, 213, 215, 216, 217, 218, 220, 221, 222, 230, 244, 245, 248, 258, 265, 275, 281, 284, 322, 339, 345, 359, 360, 369, 373, 419, 429, 436, 532, 541, 562, 578, 584, 585, 587, 588, 591, 599, 625, 626, 627, 628, 631, 634, 677, 692, 694, 706, 707, 710, 712, 724, 734, 739, 741, 742, 746, 747, 749, 753, 762, 773, 777, 780, 781, 782, 786, 787, 788, 790, 791, 792, 793, 795, 796, 797, 804, 819, 820, 822, 825, 826, 827, 830, 831, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 847, 848, 849, 852, 857, 858, 859, 860, 863, 864, 867, 868, 869, 870, 871, 872, 878, 879, 881, 889, 895, 901, 908, 911, 912, 916, 953, 1050, 1055, 1060, 1145, 1159, 1183, 1188, 1204, 1216, 1244, 1249, 1309, 1318, 1320, 1323, 1326, 1335, 1337, 1348, 1406, 1407, 1416, 1433, 1447, 1458, 1469, 1486, 1494, 1496, 2167, 2184, 2185, 2188, 2191, 2193, 2195, 2196, 2197, 2199, 2200, 2203, 2204, 2207, 2208, 2209, 2210, 2211, 2212, 2215, 2217, 2218, 2219, 2220, 2224, 2225, 2228, 2230, 2235, 2238, 2241, 2246, 2249, 2263, 2265, 2277, 2283, 2289, 2294, 2297, 2298, 2302, 2307], "eras": [253, 886, 1431, 2199], "ericson": 2199, "erik": 2199, "err": [16, 17, 18, 19, 2184, 2185, 2186, 2191, 2194, 2197, 2199, 2201, 2203, 2205, 2227, 2235, 2239, 2294, 2302, 2307], "err_types_to_retry_with_anon": 2199, "errno": [16, 17, 18, 19, 2199, 2235], "erron": [1280, 2218, 2220, 2223, 2235, 2249, 2265, 2277, 2290, 2298], "error": [0, 2, 3, 4, 5, 8, 16, 17, 18, 19, 22, 72, 73, 77, 82, 111, 165, 166, 186, 203, 209, 225, 232, 251, 256, 273, 280, 341, 342, 346, 351, 362, 368, 383, 482, 581, 582, 586, 593, 633, 724, 743, 744, 762, 783, 800, 806, 825, 826, 857, 866, 884, 888, 900, 1031, 1068, 1076, 1143, 1148, 1149, 1152, 1168, 1188, 1195, 1207, 1208, 1211, 1225, 1249, 1256, 1269, 1270, 1292, 1304, 1306, 1316, 1321, 1323, 1333, 1343, 1387, 1433, 1443, 1459, 1464, 1467, 1469, 1474, 1476, 1482, 1486, 1498, 1499, 1500, 2172, 2184, 2186, 2192, 2193, 2194, 2195, 2197, 2203, 2205, 2207, 2210, 2212, 2215, 2217, 2218, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2229, 2230, 2232, 2233, 2234, 2236, 2237, 2239, 2241, 2242, 2243, 2246, 2249, 2250, 2257, 2265, 2267, 2269, 2271, 2272, 2273, 2275, 2277, 2278, 2279, 2280, 2283, 2286, 2288, 2289, 2291, 2292, 2293, 2294, 2297, 2298, 2299, 2300, 2302, 2304, 2307, 2308], "error_bad_lin": [2235, 2283, 2298], "error_msg": [2184, 2199, 2205], "errorbar": [2211, 2222], "escap": [203, 251, 257, 259, 824, 866, 884, 890, 1345, 1391, 1394, 1403, 1404, 1433, 1469, 1486, 1488, 1490, 2201, 2202, 2208, 2216, 2218, 2220, 2225, 2230, 2235, 2241, 2283, 2298, 2302], "escapechar": [16, 17, 18, 19, 251, 884, 1469, 1486, 2199, 2203, 2214, 2220, 2232, 2235, 2298], "especi": [3, 22, 267, 896, 1123, 1140, 1469, 1482, 1483, 1484, 1486, 1498, 2185, 2186, 2188, 2193, 2194, 2195, 2199, 2201, 2205, 2208, 2214, 2216, 2246, 2249, 2260, 2265, 2277, 2289], "essenc": 2185, "essenti": [3, 6, 16, 19, 953, 1159, 1216, 1271, 1280, 2184, 2196, 2199, 2207, 2211, 2218, 2261], "estat": 2249, "estim": [13, 102, 144, 186, 191, 194, 624, 762, 767, 769, 1158, 1188, 1215, 1249, 1299, 1301, 1303, 1411, 1457, 1465, 2194, 2211, 2212, 2261], "etc": [2, 3, 4, 10, 13, 17, 21, 34, 203, 230, 251, 253, 258, 260, 263, 265, 268, 272, 286, 341, 423, 500, 804, 828, 829, 884, 886, 889, 892, 895, 1400, 1431, 1467, 1469, 1470, 1471, 1475, 1476, 1478, 1479, 1485, 1486, 1487, 2108, 2169, 2180, 2184, 2191, 2192, 2197, 2199, 2205, 2207, 2208, 2210, 2211, 2214, 2218, 2220, 2221, 2228, 2241, 2246, 2257, 2261, 2263, 2265, 2294, 2298, 2302], "eternallearner42": 2248, "ethz": 2218, "etoolbox": 1433, "etre": [272, 1487, 2199, 2294], "euro": 203, "europ": [257, 259, 269, 278, 288, 296, 318, 330, 331, 334, 639, 652, 673, 685, 686, 890, 904, 940, 943, 948, 957, 969, 970, 997, 1004, 1012, 1014, 1016, 1020, 1021, 1344, 1498, 2210, 2220, 2221, 2271], "european": [251, 278, 286, 331, 686, 884, 904, 1014, 1469, 1470, 1475, 1486, 2199, 2210, 2214], "ev": 599, "eval": [15, 203, 1368, 1383, 2196, 2218, 2219, 2220, 2221, 2222, 2229, 2231, 2232, 2233, 2235, 2246, 2249, 2265, 2271, 2273, 2289, 2292, 2293, 2294, 2298, 2302, 2310], "evalu": [15, 72, 73, 81, 120, 191, 194, 203, 218, 356, 357, 581, 582, 767, 769, 793, 836, 837, 838, 839, 840, 841, 842, 843, 844, 1168, 1225, 1269, 1270, 1304, 1321, 1380, 1381, 1387, 1469, 1470, 1486, 2172, 2191, 2195, 2196, 2199, 2201, 2207, 2209, 2210, 2218, 2220, 2225, 2230, 2238, 2246, 2260, 2275, 2290, 2294], "even": [1, 2, 3, 5, 10, 13, 34, 65, 80, 98, 119, 141, 176, 179, 207, 208, 238, 240, 261, 273, 274, 282, 376, 379, 494, 571, 573, 592, 621, 695, 699, 717, 748, 750, 781, 782, 816, 828, 893, 900, 923, 1045, 1118, 1342, 1388, 1433, 1475, 2185, 2186, 2188, 2191, 2192, 2197, 2198, 2199, 2200, 2201, 2204, 2205, 2207, 2208, 2210, 2211, 2212, 2217, 2219, 2220, 2221, 2223, 2225, 2226, 2228, 2230, 2231, 2232, 2238, 2239, 2240, 2241, 2246, 2249, 2260, 2265, 2271, 2277, 2283, 2286, 2289, 2291, 2292, 2293, 2294, 2298, 2302, 2307], "even_more_awesome_class": 2199, "even_prim": [240, 816], "evenli": [218, 793, 1193, 1254, 1463, 2185, 2209, 2210, 2220, 2222], "event": [34, 1118, 1342, 2197, 2230], "ever": [5, 2214], "everi": [1, 2, 3, 4, 5, 7, 13, 16, 17, 19, 24, 25, 28, 29, 32, 75, 78, 91, 147, 162, 218, 240, 257, 259, 269, 272, 342, 363, 584, 793, 816, 857, 890, 923, 1433, 1458, 2167, 2185, 2186, 2187, 2190, 2192, 2197, 2199, 2208, 2210, 2211, 2230, 2243, 2249, 2265, 2277, 2289, 2298], "everydai": 2199, "everyon": [0, 4], "everyth": [1, 5, 34, 148, 149, 402, 725, 726, 865, 1146, 1177, 1236, 1281, 2199, 2208, 2298], "everywher": 2260, "evoc": 4, "ew": [121, 696, 2212], "ewm": [72, 73, 102, 122, 218, 697, 793, 1158, 1304, 2183, 2212, 2222, 2230, 2235, 2241, 2271, 2286, 2289, 2294, 2298, 2302, 2307], "ewma": [121, 696, 2212, 2222, 2262], "ewma_func": 2212, "ewmcorr": [2220, 2222], "ewmcov": [2220, 2222], "ewmstd": 2222, "ewmvar": [2212, 2222], "ewmvol": 2222, "ex": [5, 133, 708, 1469, 1486], "exact": [1, 3, 5, 13, 267, 378, 417, 465, 466, 489, 896, 1343, 1447, 1494, 1495, 1498, 2186, 2188, 2190, 2199, 2200, 2221, 2224, 2232, 2235, 2241, 2249, 2283, 2289, 2294, 2298], "exactli": [16, 19, 32, 90, 121, 207, 208, 212, 378, 417, 465, 489, 602, 696, 724, 781, 782, 787, 829, 1145, 1343, 1344, 1345, 1391, 1393, 1452, 1469, 1486, 1488, 1490, 1493, 1494, 1495, 1496, 1497, 1498, 1741, 2185, 2191, 2195, 2197, 2199, 2202, 2208, 2210, 2218, 2228, 2230, 2232, 2235, 2238, 2249, 2257, 2294, 2298, 2307], "exactly_equ": [119, 695], "exam": [247, 880], "examin": 2195, "exampl": [0, 1, 4, 5, 7, 9, 10, 12, 13, 14, 15, 16, 17, 18, 19, 22, 23, 24, 25, 26, 27, 28, 30, 31, 34, 35, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 339, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 473, 475, 476, 477, 478, 479, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 521, 522, 523, 524, 525, 526, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 551, 554, 555, 556, 557, 558, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 920, 921, 922, 923, 927, 929, 930, 931, 932, 933, 934, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 959, 960, 962, 963, 964, 965, 966, 967, 968, 969, 970, 972, 973, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 990, 992, 993, 994, 995, 997, 999, 1000, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1014, 1016, 1017, 1018, 1019, 1020, 1021, 1023, 1024, 1025, 1027, 1028, 1029, 1030, 1031, 1032, 1033, 1034, 1035, 1036, 1037, 1038, 1039, 1040, 1041, 1042, 1043, 1044, 1045, 1046, 1047, 1048, 1049, 1050, 1051, 1052, 1053, 1054, 1055, 1056, 1057, 1058, 1059, 1060, 1061, 1062, 1063, 1064, 1065, 1066, 1067, 1068, 1069, 1070, 1071, 1072, 1073, 1074, 1075, 1076, 1077, 1078, 1079, 1080, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1092, 1093, 1094, 1095, 1096, 1097, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1349, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1358, 1359, 1360, 1362, 1363, 1365, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1380, 1381, 1382, 1383, 1384, 1385, 1386, 1387, 1388, 1389, 1390, 1391, 1392, 1393, 1394, 1395, 1396, 1397, 1398, 1399, 1400, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1430, 1431, 1432, 1433, 1434, 1435, 1436, 1437, 1438, 1439, 1440, 1441, 1442, 1443, 1444, 1445, 1446, 1447, 1448, 1449, 1450, 1451, 1452, 1453, 1454, 1455, 1456, 1457, 1458, 1459, 1460, 1461, 1462, 1463, 1464, 1465, 1466, 1467, 1468, 1469, 1470, 1471, 1472, 1473, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1489, 1490, 1491, 1492, 1493, 1494, 1495, 1496, 1497, 1498, 1499, 1500, 1501, 1502, 1506, 1507, 1508, 1509, 1510, 1511, 1512, 1513, 1514, 1515, 1516, 1517, 1519, 1524, 1525, 1526, 1527, 1528, 1529, 1530, 1531, 1532, 1533, 1534, 1535, 1537, 1542, 1543, 1544, 1545, 1546, 1547, 1548, 1549, 1550, 1551, 1552, 1553, 1556, 1560, 1561, 1562, 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1571, 1574, 1578, 1580, 1581, 1583, 1584, 1585, 1586, 1587, 1588, 1589, 1590, 1591, 1593, 1598, 1600, 1602, 1604, 1605, 1606, 1607, 1608, 1609, 1610, 1611, 1612, 1614, 1620, 1621, 1622, 1623, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1631, 1633, 1637, 1638, 1639, 1640, 1641, 1642, 1643, 1644, 1645, 1646, 1647, 1648, 1650, 1657, 1659, 1660, 1662, 1663, 1664, 1665, 1666, 1667, 1668, 1669, 1670, 1672, 1677, 1679, 1681, 1683, 1684, 1685, 1686, 1687, 1688, 1689, 1690, 1691, 1693, 1699, 1701, 1702, 1704, 1705, 1706, 1707, 1708, 1709, 1710, 1711, 1712, 1715, 1720, 1722, 1723, 1725, 1726, 1727, 1728, 1729, 1730, 1731, 1732, 1733, 1736, 1741, 1742, 1743, 1744, 1745, 1746, 1747, 1748, 1749, 1750, 1751, 1752, 1754, 1758, 1759, 1761, 1762, 1763, 1764, 1765, 1766, 1767, 1768, 1769, 1770, 1772, 1773, 1776, 1777, 1778, 1779, 1780, 1781, 1782, 1783, 1784, 1785, 1786, 1787, 1789, 1793, 1794, 1795, 1798, 1799, 1800, 1801, 1802, 1803, 1804, 1805, 1806, 1808, 1815, 1816, 1817, 1820, 1821, 1822, 1823, 1824, 1825, 1826, 1827, 1828, 1830, 1839, 1840, 1842, 1843, 1844, 1845, 1846, 1847, 1848, 1849, 1850, 1851, 1853, 1854, 1857, 1858, 1859, 1860, 1861, 1862, 1863, 1864, 1865, 1866, 1867, 1868, 1870, 1876, 1877, 1879, 1880, 1881, 1882, 1883, 1884, 1885, 1886, 1887, 1888, 1890, 1891, 1894, 1895, 1897, 1898, 1899, 1900, 1901, 1902, 1903, 1904, 1905, 1906, 1908, 1909, 1912, 1913, 1915, 1916, 1917, 1918, 1919, 1920, 1921, 1922, 1923, 1924, 1926, 1927, 1930, 1931, 1932, 1933, 1934, 1935, 1936, 1937, 1938, 1939, 1940, 1941, 1943, 1947, 1948, 1949, 1950, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1960, 1964, 1965, 1967, 1968, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1976, 1978, 1979, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1995, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2013, 2018, 2019, 2021, 2022, 2023, 2024, 2025, 2026, 2027, 2028, 2029, 2030, 2032, 2033, 2036, 2037, 2039, 2040, 2041, 2042, 2043, 2044, 2045, 2046, 2047, 2048, 2050, 2054, 2055, 2057, 2058, 2059, 2060, 2061, 2062, 2063, 2064, 2065, 2066, 2068, 2073, 2075, 2076, 2077, 2078, 2079, 2080, 2081, 2082, 2083, 2084, 2086, 2087, 2090, 2091, 2092, 2093, 2094, 2095, 2096, 2097, 2098, 2099, 2100, 2101, 2103, 2108, 2109, 2110, 2111, 2112, 2113, 2114, 2115, 2116, 2117, 2118, 2119, 2121, 2127, 2128, 2129, 2130, 2131, 2132, 2133, 2134, 2135, 2136, 2137, 2138, 2141, 2145, 2146, 2147, 2148, 2149, 2150, 2151, 2152, 2153, 2154, 2155, 2156, 2159, 2163, 2164, 2165, 2166, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2194, 2196, 2197, 2201, 2202, 2203, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2216, 2217, 2218, 2219, 2220, 2222, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2250, 2257, 2261, 2265, 2271, 2277, 2278, 2283, 2289, 2291, 2293, 2294, 2298, 2302, 2307], "example_fp": 2199, "example_pa": [1477, 2199], "example_seri": 2226, "example_weight": [2197, 2226], "example_weights2": [2197, 2226], "examplecalendar": 2210, "exc": [2277, 2297], "exce": [268, 501, 1345, 1391, 1488, 1490, 2202, 2210, 2218, 2220, 2221, 2225, 2232, 2249, 2277], "exceed": [1345, 1391, 1488, 1490, 2199, 2202, 2220, 2229, 2243], "excel": [4, 16, 19, 21, 24, 34, 153, 185, 250, 251, 253, 337, 339, 341, 883, 884, 886, 1345, 1391, 1403, 1404, 1431, 1454, 1470, 1488, 1490, 2172, 2196, 2202, 2218, 2219, 2220, 2226, 2232, 2234, 2241, 2249, 2258, 2264, 2265, 2277, 2279, 2283, 2289, 2291, 2294, 2297, 2298, 2307], "excel_writ": [253, 886, 1431, 2307], "excelfil": [1470, 2215, 2217, 2218, 2228, 2238, 2241, 2249, 2263, 2264, 2267, 2282, 2283], "excelread": 2228, "excelwrit": [253, 886, 1431, 2199, 2218, 2228, 2238, 2246, 2283, 2289, 2295, 2298], "except": [3, 6, 9, 13, 16, 17, 18, 19, 34, 82, 90, 112, 116, 136, 141, 169, 182, 185, 212, 213, 248, 259, 303, 354, 364, 366, 368, 369, 373, 389, 430, 434, 593, 602, 634, 655, 692, 712, 717, 760, 787, 788, 821, 835, 859, 881, 890, 1049, 1056, 1119, 1146, 1306, 1323, 1345, 1346, 1347, 1348, 1349, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 1385, 1386, 1391, 1394, 1395, 1403, 1433, 1446, 1447, 1454, 1469, 1470, 1476, 1486, 1487, 1488, 1490, 1498, 1499, 1500, 2172, 2184, 2185, 2186, 2188, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2205, 2207, 2208, 2209, 2210, 2212, 2214, 2215, 2217, 2218, 2220, 2222, 2223, 2224, 2225, 2226, 2229, 2230, 2232, 2234, 2235, 2236, 2238, 2241, 2246, 2249, 2257, 2260, 2261, 2265, 2271, 2277, 2283, 2287, 2289, 2294, 2298, 2302, 2303, 2307, 2308], "exceptiongroup": [16, 17, 18, 19, 2199, 2235], "exceptionn": 1352, "excess": 3, "excit": 2185, "exclam": [203, 2202], "exclud": [2, 16, 17, 19, 28, 75, 76, 83, 99, 102, 103, 104, 105, 106, 107, 131, 134, 139, 140, 155, 156, 164, 165, 166, 170, 200, 201, 203, 218, 224, 225, 232, 242, 245, 266, 283, 321, 359, 360, 406, 408, 414, 436, 573, 584, 585, 587, 588, 594, 599, 622, 624, 625, 626, 627, 628, 629, 715, 716, 730, 731, 742, 743, 744, 746, 758, 774, 775, 793, 800, 806, 817, 879, 908, 910, 1145, 1152, 1155, 1157, 1158, 1164, 1169, 1172, 1174, 1175, 1177, 1179, 1180, 1185, 1192, 1193, 1195, 1198, 1199, 1201, 1205, 1211, 1213, 1214, 1215, 1221, 1226, 1229, 1231, 1232, 1236, 1238, 1239, 1246, 1253, 1254, 1256, 1259, 1260, 1262, 1267, 1273, 1276, 1281, 1283, 1284, 1288, 1292, 1294, 1297, 1344, 1403, 1404, 1433, 1447, 1657, 1677, 1699, 1720, 2184, 2186, 2195, 2197, 2199, 2200, 2207, 2208, 2215, 2220, 2221, 2222, 2223, 2225, 2230, 2232, 2238, 2240, 2246, 2249, 2265, 2271, 2277, 2294, 2298, 2299, 2307], "exclude_styl": 1432, "exclus": [16, 19, 126, 251, 702, 884, 2187, 2230, 2232, 2265], "exec": 2193, "execut": [22, 121, 122, 218, 267, 696, 697, 793, 815, 896, 1148, 1149, 1193, 1203, 1207, 1208, 1254, 1264, 1353, 1482, 1483, 2190, 2193, 2195, 2197, 2199, 2202, 2212, 2265, 2271, 2277, 2283, 2289, 2294, 2298], "exemplari": 34, "exh": 2225, "exhaust": [2, 22, 2191, 2199, 2298, 2307], "exhibit": [2, 2188, 2211], "exist": [2, 3, 4, 5, 13, 14, 16, 17, 19, 21, 22, 26, 29, 30, 31, 33, 36, 46, 60, 69, 81, 83, 94, 95, 109, 111, 114, 120, 129, 146, 162, 167, 171, 173, 177, 178, 184, 199, 204, 206, 209, 212, 215, 216, 217, 220, 221, 222, 228, 230, 244, 251, 253, 255, 256, 267, 275, 278, 288, 296, 318, 331, 341, 346, 351, 368, 413, 425, 501, 532, 578, 594, 613, 618, 631, 633, 636, 639, 652, 673, 686, 694, 706, 707, 710, 718, 720, 734, 739, 747, 749, 753, 755, 756, 773, 777, 780, 783, 787, 790, 791, 792, 795, 796, 797, 804, 878, 884, 886, 888, 896, 901, 904, 940, 943, 948, 957, 970, 997, 1014, 1146, 1202, 1263, 1272, 1275, 1280, 1286, 1345, 1347, 1391, 1400, 1422, 1423, 1431, 1445, 1453, 1469, 1470, 1486, 1487, 1488, 1490, 1498, 1741, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2206, 2207, 2208, 2210, 2211, 2215, 2217, 2218, 2219, 2220, 2221, 2222, 2224, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2236, 2238, 2241, 2246, 2249, 2254, 2257, 2262, 2264, 2265, 2277, 2279, 2283, 2289, 2294, 2298, 2302], "exist_ok": [251, 884, 2205], "exit": [2, 13, 2202, 2207, 2280], "exp": [121, 273, 696, 900, 2186, 2191, 2193, 2204, 2211, 2212, 2228], "expand": [16, 17, 19, 72, 73, 77, 102, 103, 104, 105, 106, 121, 207, 208, 214, 218, 228, 625, 626, 627, 628, 696, 781, 782, 793, 828, 853, 861, 862, 866, 873, 1158, 2172, 2186, 2195, 2196, 2199, 2201, 2207, 2208, 2218, 2225, 2226, 2227, 2230, 2231, 2232, 2235, 2238, 2239, 2246, 2249, 2263, 2271, 2277, 2278, 2283, 2294, 2298, 2301, 2302, 2308], "expand_frame_repr": [1345, 1391, 1488, 1490, 2191, 2202, 2214], "expand_tab": 873, "expanding_": [2222, 2230, 2241], "expanding_appli": [2220, 2222], "expanding_corr": [2220, 2221, 2222], "expanding_corr_pairwis": 2230, "expanding_cov": [2220, 2221, 2222], "expanding_std": 2222, "expanding_var": 2222, "expandinggroupbi": [2246, 2277, 2283], "expans": [873, 2283], "expect": [0, 2, 10, 13, 141, 183, 193, 212, 233, 234, 258, 337, 342, 346, 427, 603, 717, 761, 768, 787, 807, 808, 823, 857, 889, 1031, 1052, 1068, 1118, 1122, 1143, 1144, 1187, 1248, 1289, 1373, 1415, 1469, 1470, 1471, 1472, 1475, 1476, 1477, 1478, 1480, 1485, 1486, 1498, 2166, 2185, 2186, 2188, 2190, 2191, 2192, 2194, 2195, 2197, 2199, 2208, 2214, 2215, 2217, 2218, 2220, 2227, 2235, 2246, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2309], "expectedrow": [346, 2199, 2215], "expens": [10, 261, 481, 893, 1031, 1056, 1146, 2184, 2186, 2192, 2193, 2194, 2197, 2199, 2214, 2229, 2241], "experi": [0, 2, 6, 8, 13, 212, 787, 2212, 2231, 2232, 2261], "experienc": [0, 3, 22, 34], "experiment": [10, 14, 37, 38, 85, 97, 342, 596, 620, 915, 1119, 1120, 1121, 1122, 1123, 1124, 1143, 1144, 1468, 1469, 1470, 1471, 1472, 1475, 1476, 1477, 1478, 1481, 1482, 1483, 1484, 1486, 1487, 1499, 2167, 2169, 2180, 2187, 2192, 2198, 2199, 2201, 2208, 2213, 2222, 2229, 2235, 2246, 2267, 2283, 2294], "experimenti": 2199, "expert": [4, 34], "expiri": [2216, 2223, 2224], "expiry_d": 2223, "explain": [3, 22, 24, 26, 29, 31, 2190, 2197, 2199, 2201, 2210, 2235, 2246, 2307], "explan": [1, 3, 4, 5, 7, 13, 23, 36, 160, 378, 445, 465, 489, 738, 2184, 2188, 2195, 2197, 2199, 2249, 2294], "explanatori": 1, "explicit": [26, 34, 39, 49, 212, 486, 568, 787, 1345, 1354, 1391, 1432, 1433, 1434, 1488, 1490, 2186, 2188, 2191, 2197, 2199, 2202, 2206, 2211, 2216, 2220, 2225, 2231, 2232, 2234, 2235, 2237, 2241, 2248, 2260, 2265, 2271, 2298, 2302], "explicitli": [2, 3, 16, 17, 18, 19, 28, 34, 134, 212, 213, 247, 278, 331, 487, 686, 709, 787, 788, 866, 880, 904, 1118, 1142, 1397, 1430, 1469, 1470, 1486, 1499, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2197, 2198, 2199, 2201, 2207, 2208, 2210, 2211, 2215, 2217, 2218, 2220, 2222, 2226, 2227, 2228, 2230, 2232, 2235, 2238, 2239, 2241, 2246, 2249, 2261, 2263, 2265, 2271, 2289, 2291, 2292, 2294, 2298, 2299, 2302, 2307], "explod": [167, 877, 1034, 1445, 2196, 2265, 2271, 2277, 2283, 2287, 2294, 2298, 2302, 2307], "explor": [21, 2307], "exploratori": 2186, "expm1": [2193, 2228], "expon": [2227, 2278], "exponenti": [69, 72, 73, 102, 109, 121, 122, 129, 171, 173, 199, 204, 206, 215, 216, 217, 218, 220, 221, 222, 244, 275, 696, 697, 773, 793, 795, 1158, 1298, 1299, 1300, 1301, 1302, 1303, 2172, 2196, 2222, 2230, 2249, 2268, 2277], "exponentialmovingwindow": [72, 73, 102, 121, 696, 1158, 2183, 2212, 2249, 2271, 2283, 2286, 2289, 2294, 2298], "exponentialmovingwindowgroupbi": 2283, "export": [2, 3, 24, 66, 268, 1415, 1435, 1440, 1485, 2172, 2196, 2199, 2220, 2222, 2224, 2229, 2235, 2241, 2242, 2246, 2265, 2277, 2289, 2294], "expos": [2, 2172, 2188, 2197, 2202, 2225, 2228, 2232, 2235, 2238, 2241, 2265, 2271, 2273, 2274, 2283, 2294, 2298], "exposur": 35, "expr": [120, 203, 1387, 2193, 2197, 2199, 2235, 2246, 2298], "expr_no_paren": 2193, "expr_with_and": 2193, "express": [2, 3, 15, 16, 17, 19, 25, 27, 32, 34, 120, 126, 203, 205, 212, 498, 682, 683, 702, 778, 787, 823, 824, 827, 828, 829, 831, 832, 850, 857, 866, 867, 877, 930, 1345, 1368, 1387, 1391, 1394, 1403, 1404, 1469, 1475, 1486, 1487, 1488, 1490, 1500, 2166, 2184, 2186, 2187, 2191, 2195, 2196, 2197, 2199, 2202, 2208, 2209, 2212, 2215, 2217, 2218, 2220, 2221, 2222, 2226, 2228, 2230, 2235, 2238, 2255, 2271, 2272, 2277, 2289, 2298], "ext_geom_df": 2199, "extdtyp": 2199, "extend": [11, 12, 21, 23, 26, 91, 190, 230, 766, 804, 1300, 1302, 1310, 1311, 1312, 1313, 1319, 1327, 1328, 1329, 1330, 1336, 1343, 1397, 1398, 1400, 1421, 1430, 1433, 1458, 2167, 2168, 2172, 2186, 2191, 2199, 2203, 2207, 2210, 2211, 2212, 2217, 2218, 2230, 2249, 2277, 2289, 2291, 2298], "extend_block": [2199, 2298], "extended_iv": 445, "extens": [2, 3, 4, 5, 11, 13, 16, 21, 34, 38, 97, 163, 230, 251, 253, 258, 265, 268, 272, 274, 284, 341, 586, 590, 620, 741, 804, 884, 886, 889, 893, 895, 905, 912, 915, 1078, 1090, 1118, 1120, 1121, 1143, 1148, 1149, 1178, 1179, 1181, 1199, 1200, 1203, 1205, 1207, 1208, 1237, 1238, 1240, 1260, 1261, 1264, 1267, 1300, 1302, 1305, 1310, 1311, 1312, 1313, 1318, 1319, 1320, 1322, 1327, 1328, 1329, 1330, 1335, 1336, 1337, 1343, 1431, 1465, 1469, 1470, 1476, 1479, 1480, 1485, 1486, 1487, 2167, 2172, 2185, 2186, 2194, 2196, 2198, 2199, 2201, 2203, 2206, 2208, 2210, 2213, 2218, 2224, 2226, 2231, 2232, 2238, 2241, 2248, 2249, 2261, 2266, 2270, 2271, 2272, 2273, 2277, 2279, 2283, 2284, 2285, 2289, 2291, 2292, 2294, 2295, 2296, 2298, 2299, 2303, 2306, 2307, 2308], "extensionarrai": [2, 12, 437, 477, 590, 779, 893, 905, 1068, 1076, 1081, 1118, 1119, 1122, 1140, 1141, 1142, 1144, 1493, 2163, 2164, 2172, 2186, 2191, 2199, 2201, 2203, 2206, 2241, 2246, 2251, 2269, 2285, 2293, 2307, 2308], "extensionblock": 2307, "extensiondtyp": [2, 37, 82, 334, 343, 344, 354, 441, 442, 443, 444, 457, 538, 573, 593, 914, 1027, 1028, 1029, 1030, 1045, 1048, 1067, 1070, 1118, 1122, 1144, 2172, 2191, 2199, 2246, 2271, 2276, 2277, 2278, 2283, 2286, 2289, 2294, 2298, 2302], "extensionscalaropsmixin": 10, "extensiontyp": [1068, 1070], "extent": [1472, 2186, 2199], "extern": [259, 890, 1078, 1422, 1423, 2196, 2199, 2211, 2225, 2232, 2246, 2277], "external_list": 2199, "extra": [17, 22, 60, 209, 251, 253, 258, 260, 263, 265, 268, 272, 341, 613, 783, 884, 886, 889, 892, 895, 1424, 1431, 1469, 1470, 1471, 1475, 1476, 1478, 1479, 1485, 1486, 1487, 1492, 1517, 1535, 1553, 1571, 1591, 1612, 1631, 1648, 1670, 1691, 1712, 1733, 1752, 1770, 1787, 1806, 1828, 1851, 1868, 1888, 1906, 1924, 1941, 1958, 1976, 1993, 2011, 2030, 2048, 2066, 2084, 2101, 2119, 2138, 2156, 2166, 2186, 2195, 2197, 2199, 2200, 2203, 2207, 2208, 2212, 2220, 2223, 2224, 2226, 2229, 2232, 2238, 2246, 2249, 2255, 2267, 2271, 2283, 2289, 2301, 2308], "extra_arg": 1492, "extra_kwarg": 2199, "extract": [21, 31, 32, 223, 798, 829, 831, 832, 833, 850, 857, 876, 877, 1031, 1090, 1118, 1122, 1141, 1475, 2186, 2195, 2196, 2197, 2199, 2212, 2218, 2219, 2220, 2221, 2226, 2235, 2246, 2283, 2294, 2298, 2307], "extract_arrai": 2186, "extract_city_nam": 2186, "extract_link": [1475, 2199], "extract_numpi": 2186, "extract_rang": 2186, "extract_result": 2208, "extractal": [828, 831, 2232, 2241, 2304], "extractall_result": 2208, "extran": [2199, 2241, 2246], "extrapol": [89, 124, 146, 601, 700, 720, 1280, 2304], "extrem": [1475, 2184, 2199, 2206, 2210, 2218, 2289], "extremeti": 2207, "ey": [237, 2185, 2201], "f": [1, 2, 16, 17, 18, 19, 32, 97, 107, 113, 144, 150, 160, 167, 212, 234, 263, 266, 276, 280, 351, 380, 490, 492, 493, 532, 620, 629, 635, 707, 710, 728, 734, 738, 739, 787, 857, 902, 1059, 1147, 1164, 1187, 1191, 1203, 1206, 1221, 1248, 1252, 1264, 1268, 1289, 1309, 1314, 1326, 1342, 1395, 1413, 1415, 1416, 1433, 1445, 1455, 1469, 1470, 1477, 1478, 1486, 1498, 1741, 2166, 2184, 2185, 2186, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2200, 2202, 2203, 2204, 2205, 2207, 2208, 2210, 2211, 2214, 2215, 2216, 2218, 2219, 2220, 2224, 2225, 2227, 2230, 2232, 2235, 2241, 2246, 2249, 2283, 2294, 2295, 2298, 2307, 2308], "f0e": 1433, "f1731d": 1433, "f1f1f1": 1433, "f2": 2200, "f3": [2199, 2200], "f4": 2191, "f6": 2200, "f68013": 1433, "f7": 2200, "f8": 266, "f821": [10, 2222, 2224, 2227, 2229, 2260, 2294], "f_g": 2208, "f_g_h": 2208, "f_momentum_factor": 2220, "f_plain": 2193, "f_type": 2193, "fab": 2212, "fac42a": 1433, "face": [13, 1064, 2238, 2261, 2273], "facet": [2211, 2232], "facil": [30, 2184], "facilit": [2, 1397, 2185, 2199, 2203, 2216, 2218, 2220, 2226, 2235], "fact": [4, 7, 1433, 2186, 2193, 2197, 2199, 2200, 2208, 2228, 2249], "factor": [27, 28, 44, 121, 502, 696, 1031, 1036, 1043, 1342, 1485, 2186, 2196, 2197, 2212, 2218, 2220, 2222, 2228, 2230, 2232, 2233, 2235, 2241, 2246, 2248, 2249, 2261, 2265, 2271, 2273, 2283, 2289, 2294, 2295, 2298, 2302, 2307], "factor_agg": 2222, "factori": [1405, 2214, 2217, 2261], "fade": 2207, "fail": [2, 3, 4, 10, 13, 16, 17, 18, 19, 22, 66, 77, 203, 251, 255, 267, 342, 586, 884, 896, 911, 1094, 1348, 1353, 1433, 1475, 1498, 2185, 2192, 2199, 2203, 2207, 2210, 2214, 2215, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2237, 2238, 2239, 2241, 2246, 2247, 2249, 2250, 2261, 2265, 2267, 2269, 2272, 2275, 2277, 2278, 2279, 2280, 2282, 2283, 2284, 2286, 2287, 2288, 2289, 2292, 2294, 2298, 2299, 2302, 2307, 2309], "failur": [2, 22, 830, 858, 2199, 2218, 2235, 2241, 2249, 2277, 2278, 2283, 2298], "fair": 2218, "fairli": 2199, "faithfulli": [9, 97, 620, 2199, 2238], "falcon": [3, 111, 134, 136, 147, 164, 170, 172, 198, 214, 223, 245, 248, 249, 268, 271, 281, 345, 617, 618, 633, 709, 712, 742, 746, 798, 879, 881, 882, 899, 1153, 1198, 1202, 1212, 1234, 1235, 1259, 1263, 1264, 1485, 2195], "falconiform": 2195, "fall": [107, 203, 213, 263, 278, 286, 288, 296, 318, 331, 512, 517, 518, 525, 528, 537, 629, 639, 652, 673, 686, 788, 904, 940, 943, 948, 957, 970, 997, 1014, 1148, 1149, 1164, 1190, 1192, 1203, 1207, 1208, 1221, 1251, 1253, 1264, 1343, 1344, 1374, 1387, 1394, 1475, 1478, 2185, 2191, 2194, 2195, 2197, 2199, 2210, 2217, 2218, 2220, 2231, 2241, 2246, 2257, 2265, 2283, 2289, 2294, 2295, 2298, 2302], "fallback": [256, 888, 1498, 2197, 2210, 2216, 2218, 2220, 2221, 2222, 2230, 2231, 2250, 2283], "fals": [2, 3, 7, 9, 15, 16, 17, 18, 19, 24, 25, 29, 32, 39, 44, 45, 46, 48, 49, 51, 52, 55, 56, 57, 61, 62, 63, 66, 74, 75, 76, 77, 79, 82, 84, 87, 89, 90, 91, 92, 94, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 111, 112, 114, 116, 117, 118, 119, 120, 121, 123, 124, 125, 131, 132, 134, 135, 137, 139, 140, 141, 144, 146, 147, 148, 149, 152, 153, 155, 156, 159, 160, 161, 163, 164, 165, 166, 167, 168, 169, 170, 172, 175, 176, 177, 178, 181, 185, 186, 187, 200, 201, 202, 203, 205, 207, 208, 209, 210, 212, 213, 214, 218, 223, 224, 225, 227, 228, 232, 233, 234, 241, 242, 245, 250, 251, 252, 255, 256, 257, 258, 259, 261, 262, 263, 264, 266, 267, 269, 270, 274, 278, 280, 281, 283, 284, 285, 286, 288, 296, 300, 301, 303, 304, 305, 306, 307, 308, 309, 318, 325, 331, 339, 342, 345, 346, 351, 352, 354, 356, 357, 363, 364, 365, 367, 369, 373, 375, 376, 382, 384, 386, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 404, 407, 413, 415, 418, 421, 427, 429, 431, 434, 436, 439, 445, 447, 448, 449, 453, 454, 455, 459, 461, 462, 463, 464, 466, 467, 468, 469, 473, 476, 478, 481, 492, 493, 502, 505, 523, 540, 555, 568, 573, 583, 584, 585, 586, 591, 593, 595, 598, 599, 601, 602, 606, 607, 610, 614, 615, 616, 619, 620, 621, 625, 626, 627, 628, 633, 634, 636, 639, 652, 655, 656, 657, 658, 659, 660, 661, 673, 686, 692, 693, 694, 695, 696, 698, 699, 700, 701, 705, 707, 709, 710, 713, 715, 716, 717, 720, 721, 722, 723, 724, 725, 726, 730, 731, 734, 738, 739, 741, 742, 743, 744, 745, 746, 748, 753, 754, 755, 756, 759, 762, 763, 774, 775, 778, 781, 782, 783, 784, 787, 788, 789, 793, 798, 800, 802, 806, 807, 808, 812, 815, 817, 823, 827, 828, 832, 836, 837, 838, 839, 840, 841, 842, 843, 844, 850, 851, 853, 857, 861, 862, 866, 867, 873, 879, 883, 884, 888, 889, 890, 893, 896, 897, 904, 908, 910, 912, 913, 914, 917, 931, 938, 940, 943, 948, 950, 954, 957, 970, 976, 977, 978, 979, 980, 981, 997, 1007, 1035, 1037, 1038, 1039, 1040, 1041, 1045, 1049, 1051, 1052, 1054, 1055, 1056, 1064, 1076, 1077, 1078, 1079, 1080, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1092, 1093, 1094, 1095, 1096, 1097, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1117, 1118, 1121, 1122, 1123, 1124, 1125, 1127, 1128, 1129, 1130, 1131, 1132, 1136, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1148, 1149, 1150, 1151, 1152, 1154, 1155, 1156, 1158, 1159, 1160, 1161, 1167, 1168, 1169, 1173, 1174, 1175, 1177, 1178, 1179, 1180, 1181, 1182, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1197, 1198, 1199, 1200, 1203, 1204, 1205, 1207, 1208, 1209, 1210, 1211, 1216, 1217, 1218, 1224, 1225, 1226, 1230, 1231, 1232, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1258, 1259, 1260, 1261, 1264, 1266, 1267, 1276, 1280, 1281, 1282, 1283, 1284, 1285, 1290, 1292, 1293, 1294, 1295, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1350, 1354, 1355, 1374, 1387, 1388, 1390, 1391, 1406, 1421, 1422, 1432, 1433, 1434, 1441, 1442, 1445, 1446, 1447, 1449, 1450, 1454, 1458, 1459, 1461, 1462, 1464, 1465, 1467, 1469, 1470, 1472, 1473, 1474, 1475, 1476, 1478, 1480, 1485, 1486, 1487, 1488, 1489, 1490, 1491, 1492, 1493, 1494, 1495, 1496, 1498, 1501, 1502, 1506, 1507, 1509, 1510, 1512, 1513, 1515, 1524, 1525, 1527, 1528, 1530, 1531, 1533, 1542, 1543, 1545, 1546, 1548, 1549, 1551, 1560, 1561, 1563, 1564, 1566, 1567, 1569, 1578, 1580, 1583, 1584, 1586, 1587, 1589, 1598, 1600, 1604, 1605, 1607, 1608, 1610, 1620, 1621, 1623, 1624, 1626, 1627, 1629, 1637, 1638, 1640, 1641, 1643, 1644, 1646, 1657, 1659, 1662, 1663, 1665, 1666, 1668, 1677, 1679, 1683, 1684, 1686, 1687, 1689, 1699, 1701, 1704, 1705, 1707, 1708, 1710, 1720, 1722, 1725, 1726, 1728, 1729, 1731, 1741, 1742, 1744, 1745, 1747, 1748, 1750, 1759, 1762, 1763, 1765, 1766, 1768, 1776, 1777, 1779, 1780, 1782, 1783, 1785, 1793, 1794, 1798, 1799, 1801, 1802, 1804, 1815, 1816, 1820, 1821, 1823, 1824, 1826, 1840, 1843, 1844, 1846, 1847, 1849, 1857, 1858, 1860, 1861, 1863, 1864, 1866, 1877, 1880, 1881, 1883, 1884, 1886, 1895, 1898, 1899, 1901, 1902, 1904, 1913, 1916, 1917, 1919, 1920, 1922, 1930, 1931, 1933, 1934, 1936, 1937, 1939, 1947, 1948, 1950, 1951, 1953, 1954, 1956, 1965, 1968, 1969, 1971, 1972, 1974, 1982, 1983, 1985, 1986, 1988, 1989, 1991, 2000, 2001, 2003, 2004, 2006, 2007, 2009, 2019, 2022, 2023, 2025, 2026, 2028, 2036, 2037, 2040, 2041, 2043, 2044, 2046, 2054, 2055, 2058, 2059, 2061, 2062, 2064, 2073, 2076, 2077, 2079, 2080, 2082, 2090, 2091, 2093, 2094, 2096, 2097, 2099, 2108, 2109, 2111, 2112, 2114, 2115, 2117, 2127, 2128, 2130, 2131, 2133, 2134, 2136, 2145, 2146, 2148, 2149, 2151, 2152, 2154, 2167, 2184, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2210, 2211, 2212, 2214, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2235, 2236, 2238, 2239, 2240, 2242, 2243, 2246, 2247, 2248, 2249, 2250, 2260, 2261, 2263, 2265, 2267, 2272, 2273, 2274, 2275, 2277, 2278, 2284, 2285, 2286, 2289, 2290, 2292, 2294, 2295, 2297, 2298, 2299, 2300, 2302, 2306, 2307, 2308], "false_": [2199, 2243], "false_valu": [16, 17, 18, 19, 339, 1469, 1470, 1486, 2199, 2203, 2214, 2232, 2235, 2283, 2298], "fama_macbeth": [2230, 2235], "famafrench": [2220, 2228], "famid": 2166, "famili": [1443, 2199, 2207], "familiar": [1, 3, 6, 16, 17, 18, 19, 21, 23, 2192, 2195, 2197, 2200, 2218, 2235], "fanci": [34, 2185, 2219, 2257], "faq": [2196, 2222], "far": [376, 699, 1388, 2193, 2199, 2207, 2241, 2246, 2249], "fare": [24, 25, 28, 29, 32], "farmer": 2199, "farthest": [91, 1458], "fashion": [34, 39, 46, 2221, 2246, 2283], "fast": [5, 15, 34, 83, 141, 256, 351, 594, 717, 888, 1203, 1264, 1469, 1470, 1476, 1486, 2184, 2186, 2192, 2193, 2195, 2196, 2199, 2210, 2222, 2226, 2235, 2246, 2249, 2253, 2254, 2255, 2256], "fast_path": 2199, "fastavro": [1473, 2249], "faster": [4, 5, 15, 16, 34, 62, 151, 162, 251, 258, 262, 263, 265, 268, 272, 390, 615, 754, 757, 815, 884, 889, 895, 1152, 1211, 1242, 1243, 1469, 1486, 1498, 2163, 2185, 2186, 2188, 2193, 2195, 2197, 2199, 2208, 2211, 2214, 2215, 2216, 2219, 2220, 2222, 2232, 2238, 2246, 2249, 2253, 2255, 2256, 2277, 2289, 2302, 2307], "fastest": [2186, 2197, 2199], "fastparquet": [22, 263, 1345, 1391, 1478, 1488, 1490, 2184, 2199, 2202, 2205, 2238, 2246, 2249, 2265, 2271, 2277, 2278, 2283, 2286, 2289, 2294, 2298, 2302, 2307], "fastparquetimpl": 2199, "fastpath": [39, 573, 2194, 2201, 2203, 2246, 2265, 2271, 2283, 2294, 2298, 2302, 2307], "fatal": 2229, "fault": [2228, 2235, 2239, 2246, 2249, 2271, 2275, 2289], "faulti": 2220, "favor": [34, 2220, 2222, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2239, 2241, 2246, 2249, 2265, 2266, 2283, 2289, 2294, 2298], "favorit": 5, "favour": [916, 2210, 2298], "fay": [1443, 2199], "fca108": 1433, "fca50a": 1433, "fcffa4": 1433, "fdic": 2199, "fe01ea": 1433, "fe68df": 2199, "feather": [22, 254, 256, 888, 1471, 2172, 2196, 2235, 2246, 2298], "feather_format": 2199, "featur": [0, 2, 6, 13, 14, 16, 19, 22, 30, 34, 35, 77, 262, 342, 1433, 1469, 1473, 1486, 1487, 2167, 2185, 2186, 2191, 2192, 2196, 2199, 2207, 2210, 2213, 2216, 2218, 2219, 2220, 2221, 2223, 2224, 2226, 2242, 2243, 2245, 2246, 2247, 2248, 2249, 2277, 2283, 2294], "feb": 2210, "feb152015": 19, "februari": [247, 303, 314, 655, 667, 880, 2199, 2210, 2213], "fed": 2191, "feder": [2199, 2289], "fedora": 5, "feed": 2204, "feedback": [1, 6, 2229, 2235, 2240, 2294, 2302, 2308], "feedstock": 13, "feedtyp": 15, "feel": [1, 3, 13, 30, 2186, 2199, 2228], "fell": 2230, "felt": 1, "femal": [18, 23, 25, 28, 32, 1204, 2195, 2222], "fencepost": 2231, "fetch": [1, 5, 267, 896, 1473, 2216, 2218, 2232, 2263, 2270], "fetchal": [267, 896], "fevereiro": [314, 667], "few": [0, 1, 2, 4, 6, 10, 12, 13, 15, 34, 127, 157, 212, 703, 732, 787, 2186, 2188, 2190, 2191, 2195, 2197, 2199, 2201, 2205, 2207, 2208, 2210, 2226, 2240, 2249, 2258, 2259, 2262, 2265, 2307], "fewer": [200, 201, 245, 268, 774, 775, 879, 1169, 1177, 1178, 1181, 1189, 1200, 1226, 1236, 1237, 1240, 1250, 1261, 1274, 1276, 1281, 1290, 1295, 1392, 1400, 2195, 2199, 2210, 2222, 2235, 2240, 2246, 2289, 2298], "ff": [1, 13], "ff00ee": 1433, "ff5933": 1433, "ffdd33": 1433, "ffe6e6": 2207, "fffd75": [1407, 1411], "ffff00": 1433, "ffff99": 2207, "ffffb3": 2207, "ffill": [16, 19, 74, 79, 125, 146, 181, 182, 207, 208, 212, 213, 378, 417, 465, 489, 583, 591, 701, 720, 759, 760, 781, 782, 787, 788, 1040, 1052, 1167, 1224, 1272, 1275, 1280, 1448, 2186, 2195, 2200, 2201, 2210, 2214, 2218, 2220, 2230, 2231, 2235, 2241, 2242, 2251, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2304, 2307, 2308], "fgh": 2225, "fh": 2199, "fiction": [207, 781], "fidel": 2199, "field": [9, 10, 13, 107, 130, 131, 152, 250, 251, 255, 258, 266, 532, 540, 629, 875, 876, 883, 884, 889, 958, 995, 1031, 1148, 1149, 1164, 1221, 1436, 1443, 1447, 1448, 1469, 1472, 1476, 1486, 2191, 2192, 2195, 2199, 2209, 2210, 2212, 2218, 2220, 2222, 2225, 2229, 2230, 2232, 2237, 2239, 2261, 2265, 2294, 2302, 2307], "field_nam": 9, "fig": [3, 26, 31, 1457, 2211], "figsiz": [26, 31, 91, 137, 186, 190, 193, 196, 713, 762, 766, 768, 771, 1154, 1173, 1188, 1230, 1249, 1458, 1465, 2211, 2217, 2221, 2236, 2265], "figur": [1, 4, 26, 91, 137, 186, 188, 713, 762, 764, 1154, 1173, 1188, 1230, 1249, 1457, 1458, 2184, 2197, 2207, 2211, 2217, 2218, 2226, 2228, 2239, 2261, 2265], "file": [1, 3, 4, 5, 6, 8, 9, 10, 13, 15, 16, 18, 19, 21, 24, 30, 34, 63, 144, 250, 251, 253, 254, 256, 258, 259, 260, 262, 263, 265, 268, 271, 272, 337, 339, 341, 346, 347, 349, 351, 352, 866, 883, 884, 886, 888, 889, 890, 892, 895, 899, 1091, 1345, 1347, 1349, 1351, 1354, 1356, 1357, 1373, 1374, 1376, 1391, 1422, 1431, 1432, 1433, 1434, 1437, 1468, 1469, 1470, 1471, 1472, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1481, 1485, 1486, 1487, 1488, 1490, 1491, 2172, 2184, 2185, 2186, 2188, 2191, 2192, 2193, 2194, 2196, 2197, 2200, 2201, 2202, 2203, 2205, 2207, 2208, 2210, 2212, 2213, 2215, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2229, 2230, 2231, 2232, 2233, 2234, 2236, 2237, 2239, 2241, 2242, 2243, 2246, 2249, 2254, 2260, 2263, 2264, 2265, 2266, 2267, 2269, 2270, 2271, 2278, 2279, 2280, 2282, 2285, 2286, 2289, 2291, 2292, 2295, 2298, 2302, 2304, 2307], "file_exist": 2199, "file_obj": 2199, "file_path": 2199, "filemetadata": 9, "filenam": [2, 341, 1403, 1437, 1438, 1439, 1440, 1485, 2191, 2193, 2199, 2230, 2246, 2249, 2277, 2294], "filename_01": 2191, "filename_02": 2191, "filenotfounderror": [5, 2199, 2232, 2249, 2269, 2294], "filepath": [251, 884, 1469, 1486, 2184, 2199, 2205, 2219, 2235], "filepath_or_buff": [16, 17, 18, 19, 1469, 1472, 1479, 1480, 1485, 1486, 2199, 2203, 2229, 2232, 2235, 2283, 2289, 2293, 2298], "filesystem": [1470, 1477, 1478, 2184, 2199, 2205, 2220], "filesystemload": 2207, "filetyp": 2283, "fill": [1, 3, 13, 15, 69, 74, 79, 87, 89, 94, 95, 109, 124, 125, 129, 146, 163, 169, 171, 173, 181, 182, 185, 188, 189, 195, 197, 199, 204, 206, 207, 208, 212, 213, 215, 216, 217, 220, 221, 222, 241, 244, 275, 284, 377, 417, 578, 583, 591, 598, 601, 618, 631, 694, 700, 701, 706, 707, 710, 720, 734, 739, 741, 747, 749, 753, 759, 760, 764, 765, 770, 773, 777, 780, 781, 782, 787, 788, 790, 791, 792, 795, 796, 797, 822, 823, 832, 847, 850, 852, 860, 874, 878, 901, 912, 914, 1040, 1052, 1063, 1064, 1142, 1146, 1153, 1166, 1167, 1168, 1203, 1212, 1223, 1224, 1225, 1264, 1271, 1272, 1274, 1275, 1280, 1286, 1446, 1447, 1448, 1454, 1470, 2184, 2187, 2191, 2195, 2196, 2197, 2199, 2200, 2204, 2206, 2208, 2211, 2214, 2217, 2222, 2225, 2228, 2232, 2235, 2238, 2242, 2246, 2249, 2265, 2271, 2272, 2276, 2277, 2283, 2285, 2286, 2289, 2294, 2298, 2301, 2302, 2307], "fill_axi": [74, 583, 2302], "fill_between": 2211, "fill_method": [182, 760, 1186, 1192, 1247, 1253, 1448, 2200, 2210, 2221, 2230, 2241, 2265, 2302, 2304, 2308], "fill_na": 2265, "fill_valu": [69, 74, 79, 94, 109, 129, 171, 173, 185, 199, 204, 206, 207, 215, 216, 217, 220, 221, 222, 230, 244, 275, 279, 430, 578, 583, 591, 617, 631, 694, 706, 707, 710, 734, 739, 747, 749, 753, 773, 777, 780, 781, 790, 791, 792, 795, 796, 797, 804, 810, 813, 814, 878, 901, 906, 914, 1054, 1063, 1064, 1142, 1196, 1257, 1271, 1454, 2186, 2192, 2197, 2204, 2205, 2206, 2227, 2228, 2230, 2231, 2232, 2235, 2241, 2246, 2258, 2265, 2267, 2271, 2277, 2283, 2289, 2292, 2294, 2298, 2302, 2303], "fillchar": [822, 847, 852, 860, 2225], "filler": 2199, "fillna": [3, 16, 19, 114, 146, 207, 212, 636, 720, 781, 787, 1031, 1153, 1166, 1212, 1223, 1272, 1274, 2184, 2186, 2187, 2188, 2195, 2197, 2201, 2203, 2209, 2210, 2211, 2214, 2216, 2217, 2218, 2220, 2222, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2234, 2235, 2238, 2239, 2241, 2242, 2246, 2249, 2250, 2258, 2259, 2261, 2265, 2271, 2273, 2275, 2276, 2277, 2278, 2283, 2286, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2298, 2302, 2307], "filter": [18, 21, 27, 29, 88, 127, 157, 494, 600, 703, 732, 1184, 1478, 2184, 2191, 2192, 2194, 2197, 2205, 2207, 2212, 2214, 2215, 2217, 2218, 2220, 2222, 2226, 2228, 2231, 2232, 2239, 2260, 2264, 2275, 2277, 2283, 2289, 2302, 2303], "filter_func": 280, "filterwarn": 2, "filtrat": [134, 709, 2196], "final": [1, 2, 3, 6, 13, 74, 77, 84, 88, 121, 127, 157, 191, 194, 247, 362, 367, 370, 378, 379, 386, 389, 390, 391, 392, 393, 394, 395, 398, 399, 402, 404, 413, 416, 433, 434, 439, 583, 595, 600, 696, 703, 732, 767, 769, 877, 880, 1118, 1269, 1271, 1272, 1273, 1274, 1275, 1276, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1415, 1416, 1433, 1478, 1491, 1793, 1815, 2184, 2185, 2186, 2193, 2194, 2197, 2206, 2207, 2208, 2209, 2211, 2220, 2222, 2226, 2231, 2238, 2240, 2241, 2246], "financ": [34, 2249, 2263], "financi": [34, 35, 2184, 2210, 2212], "find": [2, 4, 5, 6, 10, 11, 13, 18, 21, 22, 103, 104, 105, 106, 116, 160, 212, 291, 314, 376, 378, 417, 420, 465, 489, 586, 625, 626, 627, 628, 643, 667, 699, 738, 787, 799, 824, 831, 835, 858, 1061, 1388, 1475, 2166, 2184, 2185, 2186, 2194, 2195, 2197, 2199, 2201, 2203, 2205, 2207, 2208, 2210, 2217, 2218, 2222, 2225, 2230, 2235, 2238, 2246, 2265, 2283, 2289, 2294, 2302, 2307, 2309], "find_common_typ": [238, 282, 2232], "find_packag": 2241, "find_stack_level": [2, 2184, 2197, 2199, 2205, 2246], "findal": [2166, 2208], "findw": 16, "fine": [2, 13, 144, 2199, 2249, 2261], "finer": [184, 1453, 2196, 2228, 2298], "finfo": [2212, 2235], "finish": [1, 3, 13, 352, 533, 541, 2199, 2217], "finit": [1359, 2212], "finlest01": 2191, "fip": 2294, "firefox": [6, 207, 781, 2199], "first": [0, 1, 2, 3, 4, 5, 6, 8, 10, 12, 13, 15, 16, 17, 18, 19, 24, 25, 26, 28, 29, 30, 32, 34, 56, 77, 79, 80, 84, 88, 95, 100, 107, 108, 112, 116, 119, 125, 128, 134, 136, 137, 139, 140, 146, 152, 157, 168, 176, 179, 184, 185, 188, 189, 195, 203, 205, 210, 212, 213, 214, 218, 233, 234, 241, 247, 248, 251, 266, 281, 285, 286, 304, 305, 307, 309, 341, 345, 353, 359, 360, 369, 373, 380, 403, 420, 423, 427, 434, 436, 498, 502, 503, 529, 532, 573, 586, 587, 588, 591, 592, 595, 600, 617, 629, 630, 634, 656, 657, 659, 661, 692, 695, 701, 704, 709, 712, 713, 715, 716, 720, 727, 732, 754, 757, 764, 765, 770, 778, 784, 787, 788, 789, 793, 799, 807, 808, 819, 820, 828, 829, 836, 837, 838, 839, 840, 841, 842, 843, 844, 848, 853, 861, 862, 866, 869, 870, 872, 880, 881, 884, 908, 913, 953, 977, 979, 981, 1039, 1044, 1049, 1061, 1148, 1149, 1152, 1156, 1164, 1165, 1166, 1167, 1172, 1173, 1174, 1175, 1177, 1182, 1191, 1193, 1203, 1204, 1207, 1208, 1211, 1221, 1222, 1223, 1229, 1230, 1231, 1232, 1236, 1241, 1242, 1243, 1252, 1254, 1264, 1274, 1280, 1281, 1306, 1323, 1343, 1344, 1345, 1369, 1382, 1390, 1391, 1398, 1416, 1417, 1433, 1443, 1447, 1453, 1454, 1469, 1470, 1472, 1473, 1478, 1486, 1488, 1490, 1494, 1498, 1501, 1506, 1542, 1620, 1741, 2036, 2164, 2165, 2167, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2196, 2197, 2199, 2200, 2201, 2202, 2204, 2206, 2207, 2210, 2211, 2212, 2214, 2215, 2217, 2218, 2220, 2222, 2223, 2227, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2243, 2246, 2247, 2248, 2261, 2263, 2265, 2266, 2267, 2269, 2273, 2276, 2277, 2278, 2283, 2285, 2287, 2289, 2292, 2294, 2298, 2300, 2302, 2304, 2307, 2308, 2309, 2310], "first_nam": [16, 17, 19, 281], "first_rank": [1191, 1252], "first_valid_index": [158, 733, 2231, 2238, 2241, 2243, 2302], "firstlast": [16, 17, 19], "firstli": 15, "fiscal": [529, 532, 1793, 1815, 2210, 2261, 2307], "fish": [164, 170, 223, 245, 742, 746, 798, 845, 879], "fisher": [155, 156, 730, 731, 1309, 1326], "fit": [3, 28, 34, 191, 194, 754, 757, 767, 769, 1146, 1242, 1243, 1345, 1391, 1443, 1487, 1488, 1490, 2186, 2191, 2195, 2202, 2205, 2222, 2227, 2241, 2246, 2283, 2300], "five": [754, 1242, 1482, 1483, 2186, 2211], "fix": [1, 2, 3, 12, 13, 14, 22, 27, 34, 39, 49, 213, 218, 256, 286, 288, 296, 318, 345, 351, 352, 459, 462, 463, 464, 540, 639, 652, 673, 788, 793, 888, 938, 940, 943, 948, 1074, 1075, 1125, 1128, 1129, 1130, 1141, 1145, 1193, 1194, 1254, 1255, 1343, 1344, 1345, 1391, 1393, 1452, 1466, 1468, 1469, 1470, 1472, 1474, 1486, 1488, 1490, 1497, 1498, 1773, 1854, 1891, 1909, 1927, 1979, 2033, 2087, 2167, 2184, 2185, 2188, 2191, 2197, 2202, 2210, 2212, 2213, 2214, 2215, 2216, 2240, 2244, 2256, 2260, 2261, 2262, 2263, 2264], "fixedformatt": 2273, "fixedforwardwindowindex": [218, 793, 2212, 2271, 2277, 2287], "fixedloc": 2273, "fixedoffset": [2246, 2298], "fixtur": [2, 10], "fl": [1443, 2199], "flag": [2, 8, 85, 227, 278, 286, 288, 296, 318, 331, 596, 639, 652, 673, 686, 802, 823, 824, 828, 829, 831, 832, 850, 857, 904, 940, 943, 948, 957, 970, 997, 1014, 1150, 1151, 1172, 1201, 1209, 1210, 1229, 1262, 1433, 1485, 1494, 1496, 2172, 2190, 2191, 2192, 2199, 2208, 2210, 2219, 2220, 2224, 2241, 2255, 2265, 2276, 2277, 2289], "flake": [359, 360, 587, 588], "flaki": 2, "flat": [34, 504, 1443, 1476, 2172, 2199, 2210, 2218, 2246, 2250, 2254, 2265, 2283, 2298], "flatten": [72, 73, 272, 416, 581, 582, 779, 1059, 1269, 1270, 1304, 1321, 1487, 2199, 2241, 2246], "flatter": [1487, 2199], "flavien": 2248, "flavor": [267, 896, 1475, 1484, 2199, 2220, 2222, 2231, 2232, 2241, 2246], "fledg": 2216, "flex": [2218, 2241, 2265, 2271, 2277], "flexibl": [15, 16, 19, 34, 69, 109, 118, 129, 132, 135, 159, 161, 171, 173, 175, 184, 185, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 256, 259, 275, 346, 351, 390, 888, 890, 1152, 1211, 1416, 1444, 1453, 1454, 2166, 2191, 2196, 2199, 2207, 2210, 2220, 2222, 2230, 2235, 2261, 2263, 2277, 2289], "fli": [285, 913], "flier": [91, 1458, 2211], "flip": [2187, 2212], "flo": 2191, "float": [2, 3, 9, 10, 16, 19, 23, 24, 34, 69, 91, 92, 97, 99, 100, 101, 102, 109, 115, 121, 129, 131, 137, 139, 140, 151, 155, 156, 164, 165, 166, 170, 171, 173, 186, 199, 200, 201, 202, 204, 206, 212, 215, 216, 217, 220, 221, 222, 223, 225, 232, 237, 242, 244, 245, 251, 253, 257, 258, 259, 267, 269, 275, 283, 364, 391, 392, 393, 394, 395, 398, 399, 417, 432, 490, 576, 578, 590, 597, 616, 617, 620, 622, 624, 631, 694, 696, 706, 707, 710, 713, 730, 731, 734, 739, 742, 743, 744, 746, 747, 749, 753, 762, 773, 774, 775, 776, 777, 780, 787, 790, 791, 792, 795, 796, 797, 798, 800, 806, 817, 878, 879, 884, 886, 889, 890, 891, 896, 897, 901, 910, 914, 916, 953, 1002, 1065, 1069, 1071, 1072, 1078, 1079, 1092, 1093, 1095, 1097, 1104, 1110, 1115, 1118, 1123, 1142, 1148, 1149, 1152, 1154, 1155, 1156, 1158, 1169, 1173, 1174, 1175, 1177, 1178, 1179, 1180, 1181, 1188, 1189, 1190, 1194, 1195, 1198, 1199, 1200, 1205, 1207, 1208, 1213, 1215, 1226, 1230, 1236, 1237, 1238, 1239, 1240, 1249, 1250, 1251, 1255, 1256, 1259, 1260, 1261, 1267, 1276, 1281, 1283, 1284, 1290, 1291, 1292, 1294, 1295, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1306, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1345, 1390, 1391, 1394, 1397, 1398, 1403, 1404, 1411, 1430, 1431, 1433, 1447, 1455, 1458, 1459, 1464, 1465, 1467, 1469, 1470, 1482, 1483, 1484, 1486, 1488, 1489, 1490, 1493, 1494, 1495, 1496, 1498, 1499, 2186, 2188, 2191, 2193, 2194, 2195, 2197, 2198, 2201, 2202, 2205, 2206, 2207, 2208, 2210, 2212, 2215, 2216, 2217, 2218, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2231, 2232, 2238, 2239, 2241, 2242, 2246, 2248, 2249, 2250, 2254, 2257, 2264, 2265, 2269, 2271, 2274, 2278, 2281, 2282, 2285, 2286, 2288, 2289, 2292, 2293, 2294, 2297, 2302, 2307, 2308], "float16": [9, 238, 261, 282, 354, 2186, 2199, 2216, 2230, 2289, 2294, 2298], "float32": [2, 9, 15, 238, 261, 282, 343, 1123, 1499, 2167, 2184, 2186, 2197, 2199, 2203, 2204, 2205, 2215, 2216, 2222, 2232, 2235, 2274, 2277, 2286, 2289, 2294, 2298, 2302, 2307], "float32col": 2199, "float32dtyp": [344, 1123, 2167, 2277], "float64": [3, 9, 15, 16, 19, 24, 25, 28, 31, 68, 72, 73, 75, 76, 80, 89, 92, 97, 100, 103, 104, 105, 106, 107, 108, 115, 124, 125, 144, 146, 148, 149, 151, 155, 156, 163, 165, 166, 168, 177, 178, 182, 200, 201, 202, 205, 213, 224, 225, 232, 238, 241, 242, 245, 252, 271, 274, 279, 281, 282, 283, 284, 344, 354, 359, 360, 364, 371, 377, 402, 413, 436, 468, 490, 573, 577, 578, 584, 585, 586, 587, 588, 592, 601, 616, 617, 618, 620, 625, 626, 627, 628, 629, 630, 631, 633, 636, 683, 694, 700, 701, 706, 707, 709, 710, 711, 715, 716, 720, 725, 726, 730, 731, 734, 739, 741, 743, 744, 747, 748, 749, 753, 755, 756, 760, 773, 774, 775, 776, 777, 778, 780, 788, 790, 791, 792, 794, 795, 796, 797, 800, 806, 808, 812, 815, 817, 824, 846, 878, 879, 899, 901, 908, 910, 911, 912, 914, 1043, 1045, 1054, 1076, 1118, 1132, 1135, 1153, 1156, 1157, 1164, 1165, 1166, 1167, 1179, 1180, 1182, 1185, 1186, 1195, 1196, 1199, 1204, 1205, 1207, 1208, 1211, 1212, 1214, 1221, 1222, 1223, 1224, 1231, 1232, 1238, 1239, 1241, 1246, 1247, 1256, 1257, 1259, 1260, 1264, 1267, 1272, 1273, 1274, 1275, 1280, 1283, 1284, 1286, 1288, 1291, 1292, 1294, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1343, 1377, 1387, 1393, 1467, 1469, 1470, 1482, 1483, 1485, 1486, 1487, 1494, 1499, 2166, 2167, 2184, 2185, 2186, 2188, 2191, 2193, 2194, 2195, 2197, 2198, 2199, 2201, 2202, 2203, 2204, 2205, 2206, 2208, 2209, 2210, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2222, 2223, 2225, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2240, 2241, 2246, 2249, 2257, 2260, 2263, 2264, 2265, 2277, 2283, 2286, 2289, 2294, 2298, 2299, 2302, 2307], "float64_t": 2193, "float64col": 2199, "float64dtyp": [343, 1045, 2167, 2186, 2201, 2277, 2283, 2302], "float64ind": 2231, "float64index": [2213, 2220, 2221, 2222, 2223, 2230, 2232, 2237, 2238, 2241, 2246, 2265, 2271, 2273, 2294, 2298], "float_": 2222, "float_cat": 2188, "float_col": [144, 2265], "float_format": [251, 253, 257, 259, 269, 884, 886, 890, 897, 1345, 1391, 1431, 1488, 1489, 1490, 2199, 2202, 2230, 2231, 2246, 2255, 2277, 2281, 2294], "float_precis": [16, 17, 18, 19, 1469, 1486, 2199, 2203, 2222, 2232, 2235, 2277, 2278, 2289, 2298], "float_valu": 144, "floatarrai": 2, "floatarrayformatt": 2226, "floatdtyp": 2289, "floatindex": 2241, "floating_precis": 2277, "floatingarrai": [1045, 1118, 2186, 2277, 2283, 2289, 2294, 2302], "floatingdtyp": [2289, 2294], "floor": [316, 318, 322, 562, 670, 673, 677, 948, 2186, 2209, 2210, 2230, 2235, 2241, 2243, 2246, 2249, 2277, 2283, 2289], "floordiv": [69, 109, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 790, 2218, 2265, 2271, 2289, 2294, 2304], "florenc": [25, 32], "florida": [1443, 2199], "flow": [255, 1473, 2227, 2294], "flush": 2199, "fly": [214, 251, 258, 265, 268, 272, 884, 889, 895, 1441, 1442, 1449, 1450, 1469, 1476, 1479, 1480, 1485, 1486, 1487, 2199], "fmt": [532, 2210, 2302], "fname": [2265, 2298], "fo": 2191, "focu": [9, 29, 34, 2197, 2199, 2205], "focus": [2205, 2283], "fold": [953, 995, 2249, 2277, 2289], "folder": [2, 4, 5, 8, 13, 251, 884, 2202], "folder_01": 2191, "folder_02": 2191, "folk": 0, "follow": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 12, 13, 15, 16, 17, 18, 19, 22, 24, 25, 28, 29, 32, 34, 35, 40, 44, 46, 63, 77, 80, 97, 108, 144, 152, 176, 179, 192, 195, 203, 205, 212, 213, 242, 247, 250, 251, 256, 258, 265, 268, 272, 337, 341, 345, 353, 388, 592, 620, 630, 770, 778, 787, 788, 789, 817, 823, 853, 861, 877, 880, 883, 884, 888, 889, 895, 957, 970, 997, 1014, 1031, 1068, 1118, 1280, 1338, 1339, 1340, 1341, 1345, 1374, 1387, 1391, 1400, 1402, 1416, 1421, 1424, 1433, 1459, 1460, 1464, 1468, 1469, 1470, 1471, 1472, 1475, 1476, 1477, 1478, 1479, 1480, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1490, 1498, 1499, 1741, 2172, 2178, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2197, 2199, 2201, 2202, 2203, 2207, 2208, 2210, 2211, 2212, 2216, 2217, 2218, 2219, 2220, 2222, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2250, 2251, 2257, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2308], "fond": 2220, "fonnesbeck": 35, "font": [91, 186, 762, 1188, 1249, 1395, 1400, 1407, 1411, 1421, 1432, 1433, 1458, 2207, 2224, 2238], "fontsiz": [91, 186, 762, 1154, 1188, 1249, 1458, 2211, 2222, 2235, 2238], "foo": [3, 77, 115, 123, 160, 169, 184, 185, 212, 265, 341, 440, 500, 501, 504, 698, 738, 787, 789, 807, 846, 854, 855, 857, 866, 895, 1078, 1100, 1101, 1103, 1107, 1168, 1203, 1225, 1342, 1346, 1373, 1382, 1443, 1446, 1453, 1454, 1469, 1470, 1478, 1479, 1486, 1487, 2184, 2185, 2186, 2188, 2190, 2191, 2195, 2197, 2199, 2200, 2202, 2204, 2208, 2211, 2214, 2215, 2216, 2218, 2219, 2220, 2222, 2226, 2228, 2229, 2232, 2235, 2238, 2241, 2249, 2260, 2263, 2265, 2271, 2277, 2294, 2298, 2302, 2307], "foo1": 2191, "foo2": 2191, "foo_str": [854, 855, 2208], "foobar": 2226, "foobarbaz": 2235, "food": [139, 140, 1174, 1175, 2197, 2199, 2214], "foofoofoofoofoo": 2195, "fooindex": 2, "foojpgbar": 866, "foot": [1400, 1421], "foot0_": 1400, "foot1_": 1400, "foot_2": 1400, "foot_row0": 1400, "footer": [9, 1373, 1475, 2224, 2294], "footnot": [2199, 2307], "footprint": [168, 745, 2205, 2232, 2302, 2307], "forbid": 2190, "forbid_nonstring_typ": [2208, 2249], "forbidden": 2227, "forc": [63, 130, 255, 258, 267, 351, 889, 896, 1403, 1404, 1423, 1433, 1469, 1473, 1476, 1486, 1498, 2186, 2194, 2197, 2198, 2199, 2210, 2211, 2214, 2216, 2222, 2223, 2232, 2236, 2298], "force_ascii": [258, 889, 2199], "force_unicod": 2220, "foreign": 1485, "forese": 2199, "forg": [13, 21, 22, 2235], "forget": [13, 23], "form": [0, 1, 3, 9, 21, 29, 34, 130, 137, 153, 182, 184, 188, 189, 195, 203, 205, 255, 389, 430, 434, 476, 590, 603, 713, 750, 760, 764, 765, 770, 778, 815, 836, 837, 838, 839, 840, 841, 842, 843, 844, 851, 877, 953, 1139, 1173, 1230, 1315, 1332, 1389, 1394, 1403, 1404, 1421, 1422, 1453, 1455, 1469, 1486, 1491, 1741, 2166, 2169, 2180, 2184, 2185, 2190, 2191, 2197, 2199, 2202, 2204, 2207, 2208, 2209, 2210, 2211, 2220, 2230, 2232, 2241, 2246, 2249, 2257], "formal": [34, 2241, 2294, 2302], "format": [2, 3, 4, 10, 11, 13, 15, 16, 17, 19, 21, 22, 24, 26, 30, 34, 91, 123, 130, 167, 184, 185, 197, 237, 241, 243, 250, 251, 252, 253, 254, 256, 258, 259, 260, 262, 263, 265, 268, 271, 272, 300, 301, 322, 337, 341, 346, 351, 352, 353, 405, 532, 562, 677, 682, 698, 740, 883, 884, 886, 888, 889, 890, 892, 895, 899, 923, 955, 983, 999, 1000, 1035, 1345, 1348, 1391, 1436, 1440, 1444, 1445, 1453, 1454, 1458, 1462, 1468, 1469, 1470, 1471, 1472, 1474, 1476, 1480, 1482, 1483, 1484, 1486, 1487, 1488, 1489, 1490, 1491, 1498, 1500, 1501, 1598, 1677, 2166, 2172, 2184, 2186, 2188, 2194, 2196, 2204, 2205, 2206, 2209, 2213, 2214, 2215, 2217, 2218, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2231, 2232, 2234, 2237, 2239, 2241, 2243, 2246, 2248, 2254, 2262, 2263, 2265, 2272, 2273, 2277, 2283, 2289, 2291, 2294, 2295, 2300, 2302, 2304, 2307], "format_and_align": 2246, "format_index": [1400, 1403, 1416, 1433, 2207, 2289], "formatt": [257, 259, 269, 890, 897, 1345, 1391, 1394, 1403, 1404, 1433, 1459, 1464, 1488, 1490, 2199, 2202, 2207, 2228, 2232, 2235, 2239, 2246, 2264, 2265, 2277, 2298, 2302, 2307], "formatted_fil": 1403, "former": 2199, "formerli": [2197, 2218, 2235, 2289], "formul": 2283, "formula": [17, 1403, 2186, 2193, 2212, 2227], "forstner": 2248, "fort": 2199, "forth": [9, 2210], "fortran": [34, 2193], "fortun": [12, 2199], "forward": [74, 79, 89, 124, 125, 146, 182, 207, 208, 212, 218, 251, 253, 258, 260, 263, 265, 268, 272, 278, 288, 296, 318, 331, 341, 583, 591, 601, 639, 652, 673, 686, 700, 701, 720, 760, 781, 782, 787, 793, 884, 886, 889, 892, 895, 904, 940, 943, 948, 957, 970, 997, 1014, 1040, 1052, 1054, 1166, 1167, 1223, 1224, 1272, 1274, 1275, 1280, 1286, 1431, 1447, 1469, 1470, 1471, 1475, 1476, 1478, 1479, 1480, 1485, 1486, 1487, 1741, 2186, 2192, 2195, 2199, 2201, 2212, 2216, 2218, 2225, 2228, 2230, 2232, 2235, 2241, 2246, 2271, 2283, 2294, 2302, 2307], "found": [0, 1, 2, 3, 5, 7, 10, 16, 17, 18, 19, 22, 34, 35, 111, 128, 131, 133, 158, 160, 169, 198, 209, 223, 242, 267, 322, 334, 368, 380, 401, 420, 494, 562, 633, 677, 704, 708, 733, 738, 740, 772, 798, 799, 817, 828, 831, 835, 853, 859, 861, 862, 866, 896, 1041, 1061, 1146, 1363, 1433, 1446, 1447, 1448, 1469, 1472, 1475, 1486, 1498, 2167, 2185, 2186, 2191, 2194, 2197, 2199, 2200, 2201, 2202, 2208, 2210, 2211, 2215, 2216, 2217, 2218, 2220, 2221, 2222, 2223, 2225, 2228, 2235, 2238, 2246, 2249, 2265, 2277, 2283, 2294, 2295, 2298, 2302], "foundat": 2207, "foundl": [2199, 2294], "foundri": 34, "four": [35, 100, 190, 303, 655, 757, 766, 953, 1145, 1156, 1243, 1309, 1323, 1326, 1344, 1393, 1497, 2184, 2188, 2197, 2235], "fourier": 2211, "fourth": [0, 25, 2197, 2206, 2207], "fox": [1163, 1220], "fqp": 2199, "fr": [29, 31, 176, 179, 182, 760, 1204, 1741, 2261], "fr04014": [26, 27, 29, 30, 31], "frac": [15, 121, 223, 696, 798, 1194, 1255, 1403, 1455, 2197, 2212, 2226, 2235, 2265], "fraction": [182, 202, 223, 760, 776, 798, 836, 837, 838, 839, 840, 841, 842, 843, 844, 983, 1109, 1194, 1255, 1314, 1331, 2197, 2199, 2205, 2214, 2226, 2227, 2241], "fragil": [2199, 2238], "fragment": [2199, 2289, 2298], "frame": [2, 3, 15, 16, 18, 21, 23, 24, 25, 34, 63, 74, 94, 102, 120, 123, 134, 141, 144, 153, 160, 167, 169, 184, 198, 203, 207, 212, 213, 224, 230, 238, 241, 253, 268, 349, 583, 709, 717, 738, 781, 787, 788, 804, 886, 1158, 1345, 1387, 1391, 1397, 1419, 1430, 1431, 1443, 1445, 1446, 1448, 1453, 1455, 1461, 1463, 1465, 1476, 1488, 1490, 2166, 2184, 2186, 2191, 2192, 2193, 2194, 2197, 2199, 2200, 2202, 2203, 2205, 2209, 2210, 2214, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2235, 2238, 2241, 2246, 2249, 2261, 2265, 2267, 2273, 2274, 2277, 2289, 2293, 2298, 2302], "frame_appli": 2194, "frame_or_seri": 2, "frame_queri": [2220, 2230], "frame_t": [2199, 2214], "frameappli": 2194, "framework": [2, 2235], "franc": [176, 179, 182, 754, 757, 760, 1242, 1243], "francisco": 18, "francois": 871, "frank": [2208, 2226], "fran\u00e7ois": 871, "free": [1, 3, 5, 13, 30, 2257, 2261, 2310], "freebsd": 2229, "freed": 2230, "freedom": [102, 225, 242, 283, 321, 624, 800, 817, 910, 1158, 1195, 1199, 1205, 1215, 1256, 1260, 1267, 1292, 1294, 1297, 1308, 1316, 1318, 1320, 1323, 1325, 1333, 1335, 1337, 2191, 2271], "freeli": 1031, "freez": [2199, 2235], "freeze_pan": [253, 886, 1431, 2199, 2235], "french": [182, 760], "freq": [31, 79, 84, 88, 107, 108, 127, 133, 157, 182, 187, 207, 208, 213, 230, 264, 270, 276, 286, 287, 288, 290, 291, 292, 294, 296, 298, 299, 301, 302, 303, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 318, 319, 320, 321, 322, 326, 330, 331, 332, 333, 345, 363, 402, 423, 510, 511, 512, 514, 516, 518, 519, 522, 526, 529, 531, 532, 533, 538, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 551, 552, 553, 554, 555, 556, 557, 558, 560, 561, 562, 563, 564, 565, 566, 567, 591, 595, 600, 629, 630, 637, 639, 642, 643, 644, 646, 648, 651, 652, 654, 655, 658, 659, 660, 661, 663, 664, 665, 666, 667, 668, 669, 670, 673, 674, 675, 676, 677, 680, 681, 683, 685, 686, 688, 689, 703, 708, 732, 760, 763, 781, 782, 788, 804, 894, 898, 902, 919, 922, 929, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 951, 957, 970, 997, 1008, 1051, 1068, 1106, 1118, 1122, 1141, 1144, 1145, 1157, 1164, 1180, 1186, 1192, 1195, 1196, 1197, 1214, 1221, 1239, 1245, 1247, 1253, 1256, 1257, 1258, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1280, 1282, 1283, 1284, 1285, 1286, 1287, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1344, 1367, 1372, 1393, 1436, 1441, 1442, 1449, 1450, 1452, 1459, 1462, 1464, 1494, 1496, 1497, 1498, 1500, 1502, 1507, 1510, 1511, 1512, 1513, 1514, 1515, 1516, 1525, 1528, 1529, 1530, 1531, 1532, 1533, 1534, 1543, 1546, 1547, 1548, 1549, 1550, 1551, 1552, 1561, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1580, 1584, 1585, 1586, 1587, 1588, 1589, 1590, 1598, 1600, 1605, 1606, 1607, 1608, 1609, 1610, 1611, 1621, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1638, 1641, 1642, 1643, 1644, 1645, 1646, 1647, 1657, 1659, 1663, 1664, 1665, 1666, 1667, 1668, 1669, 1677, 1679, 1684, 1685, 1686, 1687, 1688, 1689, 1690, 1699, 1701, 1705, 1706, 1707, 1708, 1709, 1710, 1711, 1720, 1722, 1726, 1727, 1728, 1729, 1730, 1731, 1732, 1742, 1745, 1746, 1747, 1748, 1749, 1750, 1751, 1759, 1763, 1764, 1765, 1766, 1767, 1768, 1769, 1777, 1780, 1781, 1782, 1783, 1784, 1785, 1786, 1794, 1799, 1800, 1801, 1802, 1803, 1804, 1805, 1816, 1821, 1822, 1823, 1824, 1825, 1826, 1827, 1840, 1844, 1845, 1846, 1847, 1848, 1849, 1850, 1858, 1861, 1862, 1863, 1864, 1865, 1866, 1867, 1877, 1881, 1882, 1883, 1884, 1885, 1886, 1887, 1895, 1899, 1900, 1901, 1902, 1903, 1904, 1905, 1913, 1917, 1918, 1919, 1920, 1921, 1922, 1923, 1931, 1934, 1935, 1936, 1937, 1938, 1939, 1940, 1948, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1965, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1983, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 2001, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2019, 2023, 2024, 2025, 2026, 2027, 2028, 2029, 2037, 2041, 2042, 2043, 2044, 2045, 2046, 2047, 2055, 2059, 2060, 2061, 2062, 2063, 2064, 2065, 2073, 2077, 2078, 2079, 2080, 2081, 2082, 2083, 2091, 2094, 2095, 2096, 2097, 2098, 2099, 2100, 2109, 2112, 2113, 2114, 2115, 2116, 2117, 2118, 2128, 2131, 2132, 2133, 2134, 2135, 2136, 2137, 2146, 2149, 2150, 2151, 2152, 2153, 2154, 2155, 2163, 2167, 2184, 2185, 2186, 2188, 2195, 2197, 2199, 2201, 2204, 2205, 2209, 2210, 2211, 2212, 2214, 2216, 2217, 2218, 2220, 2221, 2222, 2223, 2226, 2227, 2228, 2230, 2231, 2232, 2233, 2235, 2238, 2240, 2241, 2246, 2261, 2264, 2265, 2267, 2271, 2283, 2289, 2292, 2293, 2294, 2295, 2298, 2299, 2302, 2307], "freq_copi": [1507, 1525, 1543, 1561, 1580, 1600, 1621, 1638, 1659, 1679, 1701, 1722, 1742, 1759, 1777, 1794, 1816, 1840, 1858, 1877, 1895, 1913, 1931, 1948, 1965, 1983, 2001, 2019, 2037, 2055, 2073, 2091, 2109, 2128, 2146], "freqstr": [2221, 2225, 2230, 2232, 2238, 2241, 2298], "frequenc": [12, 34, 79, 107, 125, 134, 172, 213, 218, 264, 270, 281, 286, 288, 296, 298, 302, 318, 320, 326, 345, 423, 436, 459, 462, 463, 464, 511, 513, 515, 521, 526, 532, 533, 535, 538, 539, 540, 541, 551, 563, 591, 629, 639, 652, 673, 680, 701, 709, 788, 793, 894, 898, 908, 919, 922, 929, 938, 940, 943, 944, 948, 957, 970, 997, 1008, 1114, 1122, 1125, 1128, 1129, 1130, 1141, 1145, 1164, 1192, 1193, 1196, 1204, 1221, 1253, 1254, 1257, 1271, 1272, 1275, 1286, 1342, 1344, 1347, 1392, 1393, 1452, 1497, 1507, 1508, 1509, 1512, 1519, 1525, 1526, 1527, 1530, 1537, 1543, 1544, 1545, 1548, 1556, 1561, 1562, 1563, 1566, 1574, 1580, 1581, 1583, 1586, 1593, 1600, 1602, 1604, 1607, 1614, 1621, 1622, 1623, 1626, 1633, 1638, 1639, 1640, 1643, 1650, 1659, 1660, 1662, 1665, 1672, 1679, 1681, 1683, 1686, 1693, 1701, 1702, 1704, 1707, 1715, 1722, 1723, 1725, 1728, 1736, 1742, 1743, 1744, 1747, 1754, 1759, 1761, 1765, 1772, 1773, 1777, 1778, 1779, 1782, 1789, 1794, 1795, 1798, 1801, 1808, 1816, 1817, 1820, 1823, 1830, 1840, 1842, 1846, 1853, 1854, 1858, 1859, 1860, 1863, 1870, 1877, 1879, 1883, 1890, 1891, 1895, 1897, 1901, 1908, 1909, 1913, 1915, 1919, 1926, 1927, 1931, 1932, 1933, 1936, 1943, 1948, 1949, 1950, 1953, 1960, 1965, 1967, 1971, 1978, 1979, 1983, 1984, 1985, 1988, 1995, 2001, 2002, 2003, 2006, 2013, 2019, 2021, 2025, 2032, 2033, 2037, 2039, 2040, 2043, 2050, 2055, 2057, 2058, 2061, 2068, 2073, 2075, 2079, 2086, 2087, 2091, 2092, 2093, 2096, 2103, 2109, 2110, 2111, 2114, 2121, 2128, 2129, 2130, 2133, 2141, 2146, 2147, 2148, 2151, 2159, 2172, 2184, 2185, 2195, 2196, 2199, 2204, 2211, 2214, 2217, 2218, 2219, 2220, 2222, 2224, 2225, 2227, 2230, 2231, 2232, 2235, 2238, 2239, 2241, 2243, 2246, 2247, 2249, 2257, 2261, 2264, 2265, 2271, 2274, 2276, 2277, 2283, 2291, 2296, 2298, 2307, 2308], "frequent": [0, 34, 144, 168, 259, 281, 436, 890, 908, 1204, 1280, 1498, 2186, 2196, 2197, 2238, 2246, 2302], "fresh": 6, "fri": [18, 1145, 1400, 1578, 1657, 1677, 1699, 1720, 2195, 2210, 2217], "fridai": [1741, 1793, 1815, 1857, 2108, 2207, 2210, 2217, 2231], "friend": [1345, 1391, 1488, 1490, 2202, 2217, 2218, 2289], "friendli": [22, 184, 185, 259, 260, 269, 890, 892, 1444, 1453, 1454, 2166, 2225, 2239, 2262], "friendlier": [2230, 2257], "frm": 2185, "from": [1, 2, 3, 4, 5, 6, 7, 8, 10, 12, 13, 18, 23, 24, 26, 28, 29, 31, 32, 33, 34, 35, 44, 49, 60, 63, 68, 72, 73, 74, 75, 77, 78, 82, 83, 88, 91, 95, 96, 99, 100, 101, 102, 107, 111, 114, 116, 123, 126, 130, 131, 133, 134, 141, 144, 145, 153, 160, 162, 163, 167, 169, 182, 183, 184, 185, 186, 188, 189, 190, 191, 192, 194, 195, 197, 198, 203, 212, 213, 214, 218, 223, 227, 230, 234, 237, 240, 241, 248, 249, 250, 251, 252, 255, 256, 257, 258, 259, 264, 265, 266, 267, 268, 269, 271, 272, 276, 278, 279, 280, 281, 284, 285, 286, 330, 331, 334, 335, 336, 339, 341, 352, 354, 362, 363, 365, 366, 367, 373, 376, 378, 380, 381, 387, 420, 428, 429, 430, 435, 436, 439, 445, 459, 462, 463, 464, 465, 478, 481, 482, 485, 486, 487, 488, 489, 498, 501, 510, 529, 530, 532, 569, 573, 575, 577, 581, 582, 583, 584, 586, 590, 593, 594, 600, 613, 617, 618, 619, 622, 629, 633, 636, 685, 686, 692, 698, 699, 702, 705, 708, 709, 717, 728, 735, 736, 738, 740, 741, 760, 761, 762, 764, 765, 766, 767, 769, 770, 772, 787, 788, 789, 793, 798, 799, 802, 804, 809, 810, 812, 813, 814, 815, 816, 818, 821, 828, 829, 831, 833, 849, 852, 854, 855, 857, 862, 863, 864, 865, 866, 868, 874, 881, 882, 883, 884, 885, 888, 889, 890, 894, 895, 896, 899, 902, 904, 905, 907, 908, 912, 913, 923, 953, 958, 972, 973, 1010, 1014, 1018, 1031, 1037, 1038, 1051, 1061, 1064, 1068, 1070, 1073, 1075, 1077, 1078, 1079, 1081, 1082, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1093, 1094, 1095, 1097, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1118, 1121, 1122, 1123, 1124, 1125, 1128, 1129, 1130, 1141, 1142, 1143, 1145, 1146, 1148, 1149, 1154, 1155, 1156, 1158, 1159, 1164, 1168, 1169, 1170, 1172, 1177, 1178, 1179, 1181, 1182, 1183, 1188, 1193, 1194, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1207, 1208, 1211, 1213, 1216, 1221, 1225, 1226, 1227, 1229, 1236, 1237, 1238, 1240, 1241, 1244, 1249, 1254, 1255, 1260, 1261, 1262, 1263, 1264, 1267, 1269, 1270, 1272, 1275, 1276, 1277, 1280, 1281, 1286, 1300, 1302, 1304, 1305, 1310, 1311, 1312, 1313, 1318, 1319, 1320, 1321, 1322, 1327, 1328, 1329, 1330, 1335, 1336, 1337, 1343, 1345, 1349, 1353, 1354, 1356, 1373, 1374, 1377, 1380, 1381, 1387, 1388, 1389, 1391, 1397, 1398, 1400, 1402, 1403, 1404, 1405, 1406, 1416, 1422, 1430, 1433, 1435, 1436, 1444, 1445, 1446, 1448, 1451, 1452, 1453, 1454, 1455, 1457, 1458, 1463, 1468, 1469, 1470, 1471, 1472, 1473, 1474, 1476, 1477, 1478, 1479, 1480, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1490, 1493, 1494, 1495, 1496, 1498, 1499, 1500, 1501, 1502, 1506, 1524, 1542, 1560, 1598, 1657, 1677, 1699, 1720, 1741, 1758, 1839, 1876, 1894, 1912, 1964, 1982, 2000, 2018, 2163, 2166, 2169, 2172, 2180, 2184, 2185, 2187, 2188, 2190, 2192, 2193, 2194, 2195, 2197, 2198, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2236, 2237, 2238, 2239, 2240, 2242, 2247, 2248, 2250, 2253, 2254, 2255, 2256, 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2267, 2270, 2271, 2273, 2274, 2276, 2277, 2278, 2279, 2283, 2284, 2288, 2289, 2293, 2295, 2296, 2297, 2298, 2299, 2302, 2305, 2306, 2307, 2308], "from_a": 2204, "from_a_a": 2204, "from_a_b": 2204, "from_arrai": [12, 134, 164, 170, 245, 370, 401, 425, 434, 459, 463, 464, 478, 479, 481, 483, 486, 487, 488, 490, 491, 492, 493, 495, 496, 497, 499, 502, 505, 506, 709, 742, 746, 789, 879, 1125, 1129, 1130, 1198, 1404, 1433, 2184, 2185, 2188, 2195, 2197, 2199, 2200, 2204, 2210, 2211, 2217, 2220, 2232, 2235, 2241, 2265, 2271, 2298, 2307], "from_ax": 2218, "from_b": 2204, "from_b_b": 2204, "from_b_c": 2204, "from_block": [2199, 2298], "from_break": [459, 462, 464, 475, 1125, 1128, 1130, 1138, 2185, 2204, 2241, 2298], "from_cod": [2167, 2188, 2222, 2232, 2241, 2246, 2265, 2267, 2302], "from_coo": [2206, 2225, 2246, 2249, 2298], "from_csv": [2228, 2238, 2249, 2256, 2257], "from_custom_templ": [2207, 2283], "from_datafram": [66, 2294, 2299, 2300, 2302, 2307, 2308], "from_deriv": [146, 720, 1280, 2231], "from_dict": [63, 131, 252, 2191, 2204, 2227, 2241, 2249, 2255, 2292, 2307], "from_dummi": [1390, 2196, 2302], "from_field": [540, 2307], "from_fram": [478, 485, 487, 488, 2185, 2246], "from_interv": [2241, 2265], "from_item": [2241, 2256, 2265], "from_list": 2204, "from_msgpack": 2230, "from_ordin": [540, 2307], "from_product": [12, 210, 213, 406, 408, 418, 421, 440, 478, 482, 484, 485, 486, 488, 494, 498, 504, 784, 788, 906, 1358, 1362, 1396, 1400, 1406, 1414, 1415, 1416, 2185, 2186, 2197, 2199, 2200, 2204, 2207, 2210, 2219, 2220, 2221, 2222, 2223, 2228, 2231, 2232, 2235, 2246, 2249, 2265, 2271], "from_record": [63, 130, 266, 2191, 2215, 2216, 2217, 2218, 2220, 2255, 2259, 2285, 2289, 2298, 2302], "from_spmatrix": [2206, 2271], "from_tupl": [12, 113, 160, 214, 241, 279, 459, 461, 462, 463, 469, 473, 476, 478, 485, 486, 487, 500, 501, 504, 635, 738, 815, 1125, 1127, 1128, 1129, 1136, 1139, 1154, 1343, 1433, 2185, 2186, 2200, 2204, 2206, 2220, 2225, 2235, 2238, 2241, 2246, 2249, 2255, 2265, 2283, 2289, 2294, 2298, 2302, 2307], "fromisocalendar": 2265, "fromordin": 2298, "fromstr": 2199, "fromtimestamp": [2224, 2289], "front": [25, 2193, 2246], "frontend": [5, 1345, 1391, 1488, 1490, 2202, 2235], "frozen": [253, 886, 1431, 2199, 2203, 2212, 2265, 2298], "frozenlist": [12, 494, 496, 498, 501, 2185, 2199, 2200, 2218, 2246, 2265], "frozenndarrai": [2218, 2246, 2265], "frozenset": [2218, 2274, 2283], "frustrat": 2207, "fs_token": 2199, "fsb": 2199, "fsimpl1": 2199, "fsimpl2": 2199, "fss": [22, 2298], "fsspec": [22, 251, 253, 258, 260, 263, 265, 268, 272, 341, 884, 886, 889, 892, 895, 1431, 1469, 1470, 1471, 1475, 1476, 1477, 1478, 1479, 1485, 1486, 1487, 2199, 2283, 2289, 2294, 2302, 2307], "fsspec_mod": 2199, "fsync": 2199, "ftp": [1403, 1404, 1469, 1470, 1471, 1472, 1475, 1476, 1477, 1478, 1480, 1485, 1486, 1487, 2199, 2271], "ftype": [2218, 2219, 2220, 2249, 2265], "fulfil": [2231, 2235], "full": [2, 3, 4, 5, 6, 13, 22, 25, 26, 28, 29, 30, 31, 32, 144, 169, 251, 256, 345, 353, 532, 812, 884, 888, 983, 1031, 1152, 1187, 1211, 1248, 1289, 1345, 1391, 1417, 1433, 1446, 1448, 1468, 1474, 1488, 1490, 2184, 2186, 2194, 2195, 2197, 2199, 2200, 2202, 2210, 2212, 2213, 2214, 2215, 2216, 2217, 2221, 2222, 2225, 2228, 2230, 2232, 2235, 2241, 2246, 2247, 2248, 2249, 2250, 2251, 2252, 2257, 2260, 2261, 2263, 2264, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, 2310], "full_capt": [259, 890, 2277], "full_url": [16, 17, 18, 19, 2199, 2235], "fulli": [1, 9, 10, 830, 835, 858, 859, 1432, 1469, 1486, 2185, 2186, 2188, 2199, 2219, 2220, 2241, 2242, 2249, 2283], "fullmatch": [850, 2208, 2271, 2307], "fullshuffl": 2199, "fullurl": [16, 17, 18, 19, 2199, 2235], "fully_label": 1440, "fun": [15, 2196], "func": [2, 3, 16, 17, 18, 19, 72, 73, 77, 78, 94, 162, 183, 273, 581, 582, 586, 617, 761, 900, 1148, 1149, 1152, 1168, 1178, 1181, 1187, 1192, 1200, 1203, 1207, 1208, 1211, 1225, 1237, 1240, 1248, 1253, 1261, 1264, 1269, 1270, 1289, 1304, 1305, 1321, 1322, 1395, 1396, 1403, 1404, 1413, 1414, 1415, 2184, 2194, 2199, 2205, 2208, 2212, 2217, 2220, 2222, 2229, 2232, 2235, 2246, 2249, 2271, 2277, 2283, 2285, 2286, 2287, 2289, 2294, 2302], "func_nam": [2208, 2249], "function": [0, 1, 2, 3, 4, 12, 15, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 36, 56, 68, 72, 73, 77, 78, 94, 95, 103, 104, 105, 106, 119, 120, 121, 122, 127, 134, 136, 137, 141, 146, 155, 156, 157, 160, 162, 164, 165, 166, 167, 170, 176, 183, 184, 185, 187, 191, 192, 193, 194, 195, 196, 200, 201, 202, 203, 207, 209, 210, 212, 213, 218, 232, 233, 234, 241, 245, 248, 251, 254, 255, 257, 258, 259, 262, 263, 265, 268, 269, 272, 273, 285, 321, 341, 365, 376, 405, 419, 425, 427, 428, 459, 462, 463, 464, 481, 509, 532, 577, 581, 582, 586, 599, 617, 618, 622, 625, 626, 627, 628, 662, 695, 696, 697, 699, 703, 709, 712, 713, 715, 716, 717, 720, 730, 731, 732, 738, 740, 742, 743, 744, 746, 761, 763, 767, 768, 769, 770, 771, 774, 775, 781, 783, 784, 786, 787, 788, 789, 793, 806, 807, 808, 818, 821, 824, 831, 845, 846, 871, 873, 879, 881, 884, 889, 890, 895, 897, 900, 911, 913, 923, 1000, 1031, 1032, 1035, 1041, 1042, 1060, 1097, 1110, 1114, 1115, 1119, 1120, 1125, 1128, 1129, 1130, 1143, 1148, 1149, 1150, 1151, 1152, 1154, 1157, 1160, 1161, 1162, 1163, 1165, 1168, 1169, 1172, 1173, 1177, 1179, 1183, 1186, 1187, 1191, 1192, 1193, 1197, 1198, 1199, 1201, 1203, 1205, 1207, 1208, 1209, 1210, 1211, 1213, 1214, 1217, 1218, 1219, 1220, 1222, 1225, 1226, 1229, 1230, 1231, 1232, 1236, 1238, 1244, 1247, 1248, 1252, 1253, 1254, 1258, 1259, 1260, 1262, 1264, 1267, 1269, 1270, 1273, 1276, 1280, 1281, 1289, 1293, 1296, 1304, 1305, 1306, 1309, 1321, 1322, 1323, 1326, 1342, 1343, 1352, 1354, 1373, 1374, 1378, 1379, 1382, 1385, 1388, 1394, 1395, 1396, 1397, 1398, 1400, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1414, 1415, 1416, 1418, 1421, 1423, 1430, 1432, 1433, 1434, 1435, 1441, 1442, 1445, 1449, 1450, 1453, 1454, 1455, 1457, 1462, 1464, 1465, 1466, 1467, 1469, 1470, 1471, 1472, 1473, 1475, 1476, 1477, 1478, 1479, 1480, 1482, 1484, 1485, 1486, 1487, 1494, 1498, 1657, 1677, 1699, 1720, 2166, 2172, 2178, 2185, 2188, 2196, 2197, 2200, 2201, 2202, 2204, 2206, 2208, 2211, 2214, 2215, 2217, 2218, 2219, 2220, 2221, 2222, 2224, 2225, 2226, 2227, 2229, 2234, 2235, 2236, 2242, 2245, 2248, 2249, 2250, 2253, 2254, 2255, 2256, 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2271, 2272, 2274, 2275, 2277, 2278, 2283, 2286, 2294, 2295, 2296, 2297, 2298, 2302, 2307], "function_nam": 2, "functool": [2186, 2195, 2207, 2210, 2212], "fund": [34, 2220], "fundament": [8, 34, 2186, 2191, 2196], "fundfund": 2199, "fungibl": 2210, "further": [1, 2, 3, 22, 26, 91, 121, 122, 144, 163, 190, 203, 207, 218, 253, 284, 378, 440, 459, 465, 478, 489, 696, 697, 741, 766, 781, 793, 886, 912, 1431, 1458, 1487, 2166, 2186, 2195, 2196, 2199, 2204, 2205, 2207, 2209, 2210, 2211, 2212, 2220, 2222, 2225, 2226, 2228, 2230, 2232, 2235, 2241, 2257, 2261, 2289, 2294, 2302], "furthermor": [2, 1447, 2185, 2186, 2197, 2199, 2200, 2209, 2210, 2216, 2220, 2222, 2225, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2264, 2271, 2283, 2294], "futrel": 32, "futur": [0, 2, 10, 13, 66, 74, 82, 90, 97, 98, 127, 134, 143, 157, 169, 185, 200, 201, 207, 208, 209, 210, 225, 226, 227, 242, 245, 258, 264, 270, 274, 276, 277, 278, 283, 342, 583, 593, 602, 620, 621, 681, 703, 709, 719, 732, 774, 775, 781, 782, 783, 784, 800, 801, 802, 817, 879, 880, 889, 894, 898, 902, 903, 904, 910, 911, 1041, 1095, 1118, 1143, 1152, 1167, 1170, 1192, 1207, 1208, 1211, 1224, 1227, 1253, 1277, 1314, 1331, 1345, 1387, 1391, 1446, 1454, 1473, 1478, 1488, 1490, 1498, 1500, 1509, 1527, 1545, 1563, 1583, 1604, 1623, 1640, 1662, 1683, 1704, 1725, 1744, 1762, 1779, 1798, 1820, 1843, 1860, 1880, 1898, 1916, 1933, 1950, 1968, 1985, 2003, 2022, 2040, 2058, 2076, 2093, 2111, 2130, 2148, 2167, 2184, 2186, 2188, 2192, 2198, 2199, 2201, 2202, 2205, 2208, 2210, 2212, 2216, 2217, 2218, 2220, 2225, 2228, 2229, 2230, 2232, 2235, 2238, 2239, 2241, 2242, 2246, 2247, 2248, 2249, 2260, 2265, 2271, 2277, 2278, 2283, 2289, 2294, 2295, 2298, 2302, 2307], "future_stack": [15, 241, 2184, 2195, 2204, 2302, 2303, 2307], "futurewarn": [2, 1041, 1498, 2184, 2199, 2205, 2220, 2222, 2228, 2230, 2232, 2235, 2238, 2241, 2242, 2246, 2249, 2250, 2257, 2265, 2271, 2277, 2289, 2290, 2293, 2294, 2295, 2297, 2302, 2303, 2307], "fuz": 857, "fx": 2261, "fx_price": 2261, "fy5253": [2172, 2210, 2218, 2241, 2246], "fy5253quart": [1517, 1535, 1553, 1571, 1591, 1612, 1631, 1648, 1670, 1691, 1712, 1733, 1752, 1770, 1787, 1806, 1851, 1868, 1888, 1906, 1924, 1941, 1958, 1976, 1993, 2011, 2030, 2048, 2066, 2084, 2101, 2119, 2138, 2156, 2172, 2210, 2218, 2221, 2241], "fynnei": 25, "g": [0, 2, 3, 9, 10, 13, 15, 16, 17, 18, 19, 22, 28, 29, 30, 31, 37, 46, 62, 72, 73, 75, 76, 77, 81, 82, 84, 88, 89, 91, 92, 107, 114, 124, 125, 141, 146, 160, 182, 192, 203, 205, 212, 230, 238, 251, 253, 254, 255, 257, 258, 259, 260, 262, 263, 265, 268, 269, 272, 273, 276, 280, 282, 322, 341, 350, 377, 423, 425, 510, 513, 515, 535, 562, 581, 582, 584, 585, 593, 595, 600, 601, 615, 616, 629, 677, 700, 701, 717, 720, 738, 740, 760, 778, 787, 804, 823, 828, 831, 832, 833, 850, 857, 864, 884, 886, 889, 890, 892, 895, 900, 902, 1035, 1042, 1069, 1071, 1072, 1076, 1078, 1097, 1109, 1110, 1115, 1117, 1145, 1148, 1149, 1164, 1167, 1183, 1184, 1187, 1207, 1208, 1211, 1221, 1224, 1244, 1248, 1269, 1270, 1272, 1275, 1280, 1286, 1289, 1304, 1306, 1321, 1323, 1344, 1345, 1374, 1391, 1393, 1415, 1431, 1433, 1443, 1458, 1462, 1467, 1469, 1470, 1471, 1475, 1476, 1477, 1478, 1479, 1482, 1483, 1485, 1486, 1487, 1488, 1490, 1497, 1498, 1500, 2108, 2167, 2184, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2197, 2199, 2201, 2202, 2203, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2222, 2223, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2250, 2257, 2261, 2263, 2265, 2266, 2271, 2273, 2277, 2278, 2283, 2289, 2290, 2294, 2295, 2297, 2298, 2299, 2301, 2302, 2307], "g0": 2289, "g1": [1152, 1211, 2289], "g2": [1152, 1211, 2289], "g2b9e661fbb": 5, "g3": 2289, "g_h": 2208, "ga": [2224, 2229, 2235], "gain": [212, 787, 2193, 2218, 2221, 2222, 2224, 2228, 2230, 2231, 2232, 2234, 2238, 2246, 2249, 2257, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "gamma": 144, "gamut": 2257, "gap": [74, 87, 89, 124, 125, 207, 208, 212, 583, 598, 601, 700, 701, 781, 782, 787, 1040, 1052, 1167, 1224, 1275, 2201, 2210, 2211, 2220, 2238], "garbag": [2249, 2250, 2261, 2289], "garcia": 2241, "gaussian": [191, 194, 218, 767, 769, 793, 1338, 1339, 1340, 1341, 2212, 2222], "gaussian_kd": [191, 194, 767, 769, 2218], "gave": [2241, 2245, 2289, 2294], "gb": [16, 19, 29, 1170, 1198, 1202, 1227, 1263, 1277, 2195, 2199, 2283, 2298, 2304], "gb00b03mlx29": 2220, "gbq": [22, 255, 1473, 2199, 2218, 2220, 2221, 2224, 2228, 2229, 2235, 2241, 2246, 2249, 2271, 2277, 2283, 2289, 2294, 2302, 2307], "gbqconnector": 2232, "gc": [2, 251, 253, 258, 260, 263, 265, 268, 272, 341, 884, 886, 889, 892, 895, 1431, 1469, 1470, 1471, 1475, 1476, 1478, 1479, 1485, 1486, 1487, 2250, 2265, 2271, 2277, 2302], "gca": [713, 1230], "gcc": 5, "gcf": 2211, "gcp": [22, 2298], "gcsf": [22, 2246, 2249, 2265, 2271, 2277, 2283, 2289, 2294, 2302, 2307], "gdb": 8, "gdf": 15, "gdp": [176, 179], "ge": [118, 135, 159, 161, 175, 2186, 2232, 2265], "gear": [8, 35, 2184, 2216], "gen": 2220, "gender": [18, 24, 25, 28, 29, 32, 190, 193, 766, 768, 1204, 2188, 2195], "gener": [1, 2, 4, 5, 6, 8, 10, 12, 13, 28, 29, 31, 32, 34, 63, 101, 102, 107, 144, 151, 184, 190, 191, 192, 193, 194, 196, 197, 223, 255, 257, 259, 285, 286, 302, 353, 369, 629, 634, 766, 767, 768, 769, 771, 789, 798, 890, 913, 944, 1100, 1114, 1121, 1123, 1124, 1145, 1147, 1158, 1164, 1194, 1206, 1221, 1255, 1268, 1344, 1345, 1354, 1373, 1374, 1387, 1391, 1393, 1394, 1402, 1404, 1415, 1423, 1443, 1444, 1452, 1453, 1455, 1457, 1469, 1486, 1487, 1488, 1490, 1497, 1498, 1506, 1524, 1542, 1560, 1598, 1620, 1637, 1657, 1677, 1699, 1720, 1776, 1793, 1815, 1857, 1930, 1947, 1982, 2000, 2036, 2054, 2090, 2108, 2127, 2145, 2166, 2167, 2172, 2184, 2190, 2191, 2192, 2193, 2194, 2195, 2196, 2197, 2201, 2202, 2203, 2204, 2207, 2208, 2212, 2216, 2217, 2218, 2219, 2220, 2222, 2224, 2225, 2226, 2228, 2230, 2231, 2232, 2234, 2235, 2237, 2238, 2239, 2242, 2243, 2246, 2248, 2249, 2253, 2256, 2263, 2265, 2271, 2277, 2283, 2289, 2291, 2294, 2297, 2298, 2299, 2302, 2307, 2309, 2310], "generate_bq_schema": [2224, 2228], "generate_numba_apply_func": 2212, "generate_numba_table_func": 2212, "generate_online_numba_ewma_func": 2212, "generate_rang": [2228, 2246, 2265], "generic_pars": [2277, 2298], "generic_t": 2199, "genericfix": 2199, "geng": 35, "gentli": 13, "genu": 214, "geo": [10, 1069, 1071, 1072], "geoaccessor": [10, 1069, 1071, 1072], "geograph": [10, 1069, 1071, 1072], "geographi": [247, 880], "geom_df": 2199, "geometr": 2212, "geometri": 2199, "geopanda": 10, "georg": [853, 861, 1146], "geq": [121, 696, 2212], "get": [0, 2, 4, 5, 6, 8, 10, 13, 15, 16, 17, 18, 19, 23, 24, 25, 26, 28, 29, 31, 32, 35, 36, 65, 69, 74, 82, 83, 84, 88, 98, 109, 118, 127, 129, 132, 134, 135, 138, 143, 144, 148, 149, 154, 157, 159, 160, 161, 165, 166, 169, 171, 172, 173, 175, 177, 178, 193, 196, 199, 204, 206, 207, 208, 209, 210, 215, 216, 217, 220, 221, 222, 225, 226, 227, 232, 244, 255, 262, 263, 264, 267, 270, 274, 275, 276, 277, 278, 285, 300, 301, 350, 352, 381, 382, 383, 402, 413, 426, 427, 435, 466, 490, 491, 492, 493, 512, 517, 518, 519, 522, 524, 530, 531, 534, 536, 549, 561, 573, 583, 593, 594, 595, 600, 621, 651, 676, 703, 705, 709, 714, 715, 716, 719, 725, 726, 732, 738, 743, 744, 754, 755, 756, 757, 768, 771, 781, 782, 783, 784, 800, 801, 802, 806, 857, 864, 880, 893, 894, 896, 898, 902, 903, 904, 913, 916, 1035, 1045, 1076, 1152, 1170, 1187, 1202, 1211, 1227, 1231, 1232, 1242, 1243, 1248, 1263, 1275, 1277, 1289, 1338, 1339, 1340, 1341, 1345, 1390, 1394, 1424, 1446, 1457, 1469, 1470, 1473, 1476, 1486, 1620, 1637, 1930, 1947, 2054, 2127, 2145, 2184, 2185, 2186, 2190, 2191, 2192, 2194, 2195, 2196, 2199, 2201, 2203, 2206, 2207, 2208, 2209, 2210, 2211, 2214, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2227, 2229, 2230, 2231, 2232, 2234, 2235, 2237, 2238, 2241, 2246, 2249, 2254, 2255, 2257, 2261, 2271, 2275, 2283, 2289, 2290, 2293, 2294, 2298, 2302, 2307], "get_all_data": 2221, "get_calendar": 2210, "get_call_data": 2223, "get_chunk": [1469, 1486, 2199], "get_countri": 2219, "get_credenti": 2232, "get_data_famafrench": 2217, "get_data_from_filepath": 2199, "get_data_googl": [2220, 2224], "get_data_yahoo": [2220, 2225], "get_dtype_count": [2214, 2249, 2253, 2265], "get_dummi": [1389, 2196, 2208, 2218, 2219, 2220, 2222, 2225, 2226, 2228, 2230, 2231, 2235, 2249, 2265, 2294, 2298, 2302, 2307], "get_dupl": [2241, 2265], "get_engin": [2184, 2199, 2205], "get_filepath_or_buff": 2228, "get_filesystem_class": 2199, "get_forward_data": 2216, "get_freq_group": 2241, "get_fs_token_path": 2199, "get_ftype_count": [2241, 2265], "get_group": [2195, 2220, 2227, 2235, 2302, 2303, 2307], "get_handl": [16, 17, 18, 19, 2199, 2235], "get_index": [2, 379, 2197, 2225, 2228, 2232, 2238, 2241, 2249, 2251, 2265, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "get_indexer_for": [2283, 2289], "get_indexer_non_uniqu": [379, 2192, 2197, 2238, 2243, 2246, 2249, 2265, 2277, 2289], "get_indexer_nonuniqu": 2302, "get_item": [2191, 2194], "get_jit_argu": 2212, "get_letter_typ": 2195, "get_level_valu": [1416, 2185, 2218, 2220, 2228, 2232, 2241, 2246, 2253, 2256], "get_loc": [2, 362, 383, 426, 492, 2185, 2191, 2193, 2194, 2197, 2225, 2228, 2231, 2235, 2238, 2241, 2246, 2249, 2265, 2271, 2273, 2277, 2283, 2289, 2298, 2299], "get_loc_level": 2246, "get_local": 2265, "get_method": [16, 17, 18, 19, 2199, 2235], "get_near_stock_pric": [2216, 2223], "get_offset": [2265, 2298], "get_offset_nam": [2230, 2238], "get_op_result_nam": 2186, "get_opt": [256, 888, 2202, 2214, 2217, 2219, 2241], "get_options_data": 2219, "get_period_field": 2218, "get_period_field_arr": 2218, "get_quote_yahoo": 2223, "get_result": [2199, 2200], "get_schema": [2228, 2277], "get_slice_bound": [2185, 2197, 2277, 2289, 2298], "get_standard_freq": [2232, 2241], "get_stor": [2199, 2235, 2246], "get_templ": 2207, "get_valu": [2185, 2191, 2194, 2238, 2246, 2249, 2255, 2256, 2265, 2271, 2298], "get_window_bound": [218, 793, 1073, 1193, 1254, 2212, 2265], "get_xxx_data": 2216, "getattr": [16, 17, 18, 19, 2185, 2199, 2203, 2235, 2241, 2298], "getitem": [1350, 2210, 2217, 2218, 2220, 2221, 2230, 2232, 2234, 2298], "getmemb": [2278, 2283], "getnam": 16, "getrespons": [16, 17, 18, 19, 2199, 2235], "getsizeof": 2230, "gettysburg": [2199, 2294], "gettz": [2210, 2283], "getvalu": [144, 2188], "gf": 2220, "gfyoung": 2248, "ggplot": 2211, "gh": [2, 13, 2185, 2192, 2194, 2197, 2199, 2201, 2203, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2241, 2242, 2243, 2244, 2245, 2246, 2247, 2248, 2249, 2250, 2251, 2252, 2253, 2254, 2255, 2256, 2257, 2258, 2259, 2262, 2263, 2264, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, 2310], "gh2431": 2214, "gh5332": 2220, "giada": 2199, "gidp": [2191, 2197, 2231], "gigabyt": [2199, 2294], "gil": [77, 2229, 2235], "gioia": 2248, "giraff": [188, 189, 764, 765], "gist": 2216, "gist_rainbow": 2211, "git": [2, 5, 6, 13, 22, 2246], "github": [2, 4, 5, 11, 13, 34, 35, 234, 2197, 2199, 2207, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2244, 2245, 2246, 2249, 2250, 2251, 2252, 2253, 2254, 2255, 2256, 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, 2310], "githubusercont": [16, 17, 18, 19, 1455, 1461], "gitlen": 6, "give": [3, 5, 13, 35, 91, 97, 110, 137, 485, 573, 620, 713, 745, 983, 1042, 1067, 1173, 1230, 1394, 1398, 1407, 1433, 1458, 1472, 1657, 1677, 1793, 1815, 2172, 2186, 2191, 2192, 2197, 2199, 2205, 2207, 2208, 2209, 2210, 2211, 2212, 2216, 2218, 2220, 2222, 2225, 2228, 2229, 2230, 2231, 2235, 2241, 2242, 2246, 2249, 2265, 2266, 2271, 2277, 2280, 2283, 2289, 2292, 2294, 2298, 2302, 2306, 2307], "given": [1, 2, 3, 13, 15, 16, 17, 18, 19, 27, 28, 31, 32, 39, 44, 49, 61, 62, 77, 78, 92, 95, 108, 111, 113, 117, 133, 137, 146, 153, 162, 167, 169, 176, 184, 185, 191, 192, 193, 194, 202, 212, 213, 214, 219, 223, 226, 249, 250, 251, 253, 259, 263, 267, 269, 272, 274, 287, 310, 321, 322, 330, 345, 370, 378, 380, 383, 419, 420, 423, 430, 465, 483, 486, 489, 491, 493, 502, 534, 536, 541, 562, 568, 573, 614, 615, 616, 618, 630, 635, 662, 677, 685, 693, 708, 713, 715, 716, 720, 740, 750, 767, 768, 769, 776, 786, 787, 788, 794, 798, 799, 801, 808, 821, 823, 827, 833, 845, 853, 854, 855, 857, 861, 862, 866, 867, 871, 882, 883, 884, 886, 890, 896, 915, 917, 923, 929, 939, 945, 954, 997, 1052, 1053, 1055, 1060, 1061, 1080, 1083, 1092, 1096, 1109, 1118, 1148, 1149, 1173, 1182, 1190, 1192, 1194, 1202, 1207, 1208, 1230, 1231, 1232, 1241, 1251, 1253, 1255, 1263, 1269, 1270, 1280, 1286, 1291, 1344, 1345, 1354, 1387, 1391, 1392, 1394, 1397, 1398, 1403, 1404, 1407, 1408, 1409, 1410, 1411, 1418, 1430, 1431, 1432, 1433, 1443, 1445, 1446, 1447, 1453, 1454, 1457, 1460, 1467, 1469, 1475, 1484, 1485, 1486, 1488, 1490, 1497, 1498, 1501, 1741, 2164, 2185, 2186, 2188, 2195, 2197, 2199, 2201, 2202, 2204, 2207, 2208, 2210, 2211, 2215, 2217, 2220, 2222, 2223, 2225, 2226, 2227, 2228, 2230, 2231, 2232, 2233, 2235, 2241, 2246, 2249, 2250, 2257, 2261, 2264, 2265, 2267, 2271, 2276, 2277, 2282, 2283, 2289, 2291, 2294, 2298, 2299, 2302, 2303, 2308], "gkde": 2218, "gl": 15, "glob": 2205, "global": [6, 85, 227, 596, 705, 802, 1148, 1149, 1178, 1179, 1181, 1199, 1200, 1203, 1205, 1207, 1208, 1237, 1238, 1240, 1260, 1261, 1264, 1267, 1300, 1302, 1305, 1310, 1311, 1312, 1313, 1318, 1319, 1320, 1322, 1327, 1328, 1329, 1330, 1335, 1336, 1337, 1387, 1464, 2169, 2177, 2180, 2202, 2207, 2211, 2214, 2220, 2222, 2228, 2265, 2277, 2289, 2294, 2298], "global_dict": [1387, 2292], "gmap": [1397, 1430, 2283], "gmkaec": 2257, "gmt": 2210, "gnu": [5, 2193], "go": [0, 1, 2, 3, 6, 8, 13, 14, 18, 25, 146, 176, 179, 193, 278, 286, 331, 436, 686, 720, 768, 904, 908, 1014, 1343, 2166, 2185, 2186, 2191, 2192, 2193, 2194, 2197, 2199, 2205, 2211, 2217, 2220, 2225, 2228, 2230, 2261, 2283], "goal": [13, 34, 35, 2201, 2207, 2227, 2265, 2307], "goat": [494, 845], "goe": [1, 2, 7, 1620, 1637, 1930, 1947, 2127, 2145, 2192, 2246, 2265], "golden": [836, 837, 838, 839, 840, 841, 842, 843, 844], "goldfish": [1186, 1195, 1196, 1247, 1256, 1257, 1292], "good": [1, 2, 3, 4, 13, 34, 80, 592, 873, 1343, 1397, 1430, 1467, 2184, 2185, 2186, 2188, 2193, 2199, 2205, 2207, 2222, 2223, 2230, 2249, 2283], "goodby": 833, "goog": [182, 760, 1447, 2200, 2232], "googl": [0, 13, 17, 22, 255, 1473, 2172, 2196, 2215, 2218, 2221, 2224, 2225, 2226, 2229, 2230, 2246, 2249, 2271, 2277, 2294], "google2panda": 2235, "gorilla": [1163, 1220], "got": [2199, 2203, 2207, 2210, 2283, 2302], "gotcha": [22, 98, 621, 1433, 1475, 2196, 2213, 2218], "gotten": 2302, "gov": [2199, 2283], "govern": [0, 13, 14, 258, 889, 2199, 2210], "governor": [1443, 2199], "gp3": 2211, "gpu": 2193, "gr": [182, 760, 2195, 2199, 2223], "grab": [2199, 2203, 2210, 2212, 2298], "gracefulli": [2197, 2199, 2239, 2241], "grade": [247, 418, 2184, 2222], "gradient": [1397, 1430, 2283], "graham": 32, "grai": [1398, 2211], "grain": [2199, 2249], "grammar": 2, "grandchild": 2199, "grandchild_elem": 1487, "grandchildren": 2199, "grant": [6, 2191], "granular": 2207, "graph": [6, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2244, 2245, 2246, 2249, 2250, 2251, 2252, 2253, 2254, 2255, 2256, 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, 2310], "graphic": [17, 91, 190, 766, 1458, 1473, 2218, 2226], "graphicx": 1433, "gratuiti": 17, "great": [4, 13, 21, 2199, 2207, 2214, 2261], "greater": [1, 74, 89, 102, 118, 124, 125, 132, 135, 146, 159, 161, 175, 258, 462, 583, 599, 601, 700, 701, 707, 710, 720, 874, 889, 1128, 1158, 1167, 1224, 1280, 1384, 1447, 2184, 2185, 2190, 2191, 2195, 2199, 2201, 2207, 2212, 2217, 2225, 2227, 2235, 2241, 2246, 2265, 2277, 2281, 2283, 2289, 2297, 2298], "greatli": [4, 2215, 2219, 2231, 2241, 2246], "green": [1, 2, 13, 188, 189, 195, 197, 401, 434, 482, 484, 487, 764, 765, 770, 1395, 1415, 1463, 2197, 2207, 2211, 2219], "greg": 35, "gregorian": [510, 972, 1011], "grei": 2211, "grep": [2, 5], "grid": [91, 137, 186, 260, 713, 762, 892, 1154, 1173, 1188, 1230, 1249, 1458, 1465, 2226, 2227, 2294], "gridsiz": [192, 2211], "gridspec": 2228, "ground": [35, 2194, 2214, 2260], "group": [0, 2, 3, 13, 20, 21, 29, 31, 34, 72, 73, 79, 83, 91, 126, 134, 137, 138, 160, 185, 186, 188, 190, 193, 205, 213, 223, 256, 259, 285, 345, 353, 436, 591, 594, 702, 709, 713, 714, 738, 762, 764, 766, 768, 778, 788, 798, 828, 829, 831, 832, 850, 857, 888, 890, 908, 913, 1147, 1148, 1149, 1150, 1151, 1152, 1154, 1157, 1159, 1160, 1161, 1162, 1163, 1165, 1166, 1167, 1168, 1169, 1170, 1172, 1173, 1176, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1214, 1216, 1217, 1218, 1219, 1220, 1222, 1223, 1224, 1225, 1226, 1227, 1229, 1230, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1267, 1268, 1269, 1270, 1273, 1276, 1277, 1279, 1281, 1282, 1283, 1284, 1285, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1315, 1332, 1342, 1343, 1345, 1391, 1444, 1448, 1454, 1458, 1462, 1474, 1478, 1488, 1490, 2166, 2185, 2188, 2196, 2197, 2199, 2200, 2202, 2204, 2207, 2208, 2211, 2212, 2214, 2217, 2218, 2220, 2221, 2222, 2225, 2226, 2227, 2228, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2241, 2242, 2246, 2247, 2250, 2252, 2253, 2255, 2257, 2259, 2260, 2265, 2266, 2267, 2269, 2271, 2275, 2276, 2277, 2278, 2287, 2288, 2289, 2291, 2298, 2299, 2302, 2304, 2307, 2308], "group_agg": 2222, "group_arraylik": 2307, "group_bi": 15, "group_bil": [16, 19], "group_index": 2307, "group_info": 2228, "group_kei": [134, 213, 709, 788, 1152, 1211, 2200, 2277, 2298], "groupbi": [2, 15, 18, 20, 28, 29, 31, 35, 72, 73, 91, 183, 186, 205, 213, 273, 345, 509, 713, 761, 762, 778, 788, 900, 1268, 1269, 1270, 1273, 1276, 1277, 1278, 1279, 1281, 1284, 1287, 1288, 1289, 1291, 1292, 1293, 1369, 1382, 1385, 1458, 2172, 2184, 2185, 2186, 2188, 2192, 2197, 2198, 2205, 2210, 2211, 2212, 2213, 2215, 2217, 2218, 2219, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2233, 2234, 2240, 2242, 2243, 2245, 2247, 2248, 2253, 2254, 2255, 2257, 2259, 2260, 2261, 2262, 2263, 2266, 2267, 2269, 2272, 2273, 2275, 2276, 2278, 2279, 2285, 2286, 2287, 2291, 2292, 2296, 2300, 2303, 2304, 2308], "groupby_mean": 3, "groupby_object": 1385, "groupbymethod": 2, "grouped_c": 2195, "grouped_d": 2195, "grouped_hist": 2217, "grouped_tran": 2195, "grouper": [134, 185, 709, 1174, 1175, 1192, 1193, 1253, 1254, 1454, 2204, 2213, 2218, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2232, 2233, 2235, 2236, 2238, 2239, 2240, 2247, 2249, 2250, 2257, 2265, 2283, 2289, 2294, 2298, 2302, 2307], "groupwis": [2195, 2238], "grow": [2201, 2210, 2219, 2269], "grp": [2195, 2238], "gr\u00fc\u00dfe": 2199, "gsoc": 2261, "gsod": 2218, "gt": [118, 132, 159, 161, 175, 599, 603, 1403, 2186, 2199, 2207, 2232, 2235, 2261, 2265, 2307], "gtk": 2249, "guarante": [102, 151, 379, 1158, 1194, 1255, 1479, 2172, 2186, 2188, 2191, 2195, 2197, 2199, 2210, 2212, 2241, 2242, 2246, 2249, 2271, 2298], "guess": [2, 12, 1501, 2195, 2199, 2219, 2289, 2298], "guess_datetime_format": 2307, "guid": [1, 4, 5, 6, 8, 13, 15, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 39, 49, 63, 111, 114, 115, 123, 134, 160, 167, 184, 185, 207, 209, 213, 241, 255, 256, 262, 263, 279, 354, 376, 459, 478, 573, 636, 698, 699, 709, 718, 738, 781, 783, 788, 888, 906, 1090, 1125, 1342, 1343, 1345, 1350, 1380, 1381, 1388, 1390, 1391, 1395, 1398, 1413, 1418, 1421, 1445, 1453, 1454, 1470, 1473, 1477, 1488, 1490, 2167, 2177, 2201, 2211, 2218, 2246, 2249, 2261, 2265, 2271, 2283, 2298, 2302, 2307], "guidanc": [0, 10, 14, 2242], "guidelin": [1, 3, 13, 14, 36], "guppi": 845, "gut": 2214, "gz": [13, 251, 258, 265, 268, 272, 884, 889, 895, 1469, 1476, 1479, 1480, 1485, 1486, 1487, 2199, 2235, 2294], "gzip": [16, 17, 18, 19, 251, 258, 263, 265, 268, 272, 884, 889, 895, 1469, 1476, 1479, 1480, 1485, 1486, 1487, 2199, 2228, 2229, 2235, 2248, 2271, 2277], "gzipfil": [251, 258, 265, 268, 272, 884, 889, 895, 1469, 1476, 1479, 1480, 1485, 1486, 1487, 2199, 2277], "h": [16, 17, 18, 19, 97, 212, 276, 280, 288, 296, 299, 300, 301, 316, 318, 322, 330, 511, 512, 513, 514, 515, 516, 518, 526, 532, 534, 535, 536, 554, 562, 620, 637, 639, 652, 654, 670, 673, 677, 685, 787, 902, 916, 923, 938, 940, 943, 948, 953, 957, 970, 997, 1187, 1248, 1272, 1275, 1286, 1289, 1296, 1433, 1498, 1500, 1519, 1537, 1556, 1574, 1578, 1593, 1614, 1633, 1650, 1657, 1672, 1677, 1693, 1699, 1715, 1720, 1736, 1754, 1772, 1789, 1808, 1830, 1853, 1870, 1890, 1908, 1926, 1943, 1960, 1978, 1995, 2013, 2032, 2050, 2068, 2086, 2103, 2121, 2141, 2159, 2186, 2188, 2191, 2193, 2197, 2199, 2203, 2208, 2209, 2210, 2212, 2220, 2221, 2222, 2225, 2227, 2230, 2231, 2235, 2238, 2246, 2247, 2257, 2271, 2283, 2289, 2294, 2298, 2300, 2302, 2307], "h0": 2289, "h1": [2207, 2289], "h5": [256, 346, 347, 348, 349, 350, 351, 352, 353, 888, 1474, 2199, 2214, 2215, 2216, 2217, 2218, 2228, 2235], "h_neg": 2207, "h_po": 2207, "ha": [0, 1, 2, 3, 4, 5, 8, 9, 10, 12, 13, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 28, 29, 30, 32, 34, 41, 53, 56, 63, 66, 77, 78, 86, 98, 134, 136, 144, 160, 172, 212, 214, 223, 240, 241, 249, 253, 255, 259, 264, 266, 268, 270, 273, 274, 303, 325, 330, 350, 370, 375, 384, 400, 419, 431, 434, 469, 483, 487, 573, 586, 589, 608, 621, 632, 655, 685, 692, 709, 712, 738, 740, 754, 757, 787, 798, 816, 824, 828, 829, 836, 837, 838, 839, 840, 841, 842, 843, 844, 873, 874, 882, 886, 887, 890, 900, 950, 957, 970, 997, 1041, 1060, 1069, 1071, 1072, 1076, 1078, 1089, 1091, 1101, 1111, 1118, 1145, 1148, 1149, 1152, 1202, 1203, 1207, 1208, 1211, 1242, 1243, 1263, 1264, 1272, 1344, 1355, 1384, 1387, 1389, 1394, 1400, 1405, 1406, 1431, 1469, 1473, 1475, 1476, 1486, 1498, 1499, 1815, 2167, 2172, 2184, 2185, 2186, 2188, 2189, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2200, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2234, 2236, 2238, 2239, 2240, 2242, 2243, 2246, 2247, 2249, 2253, 2257, 2261, 2263, 2264, 2265, 2266, 2271, 2273, 2275, 2277, 2278, 2279, 2282, 2283, 2285, 2288, 2289, 2292, 2293, 2294, 2297, 2302, 2304, 2307, 2308], "habit": 2, "hackmd": 0, "had": [286, 1387, 2185, 2197, 2199, 2206, 2216, 2217, 2218, 2220, 2225, 2226, 2228, 2232, 2234, 2235, 2236, 2238, 2239, 2241, 2246, 2249, 2257, 2265, 2271, 2272, 2274, 2276, 2277, 2283, 2284, 2288, 2289, 2291, 2293, 2294, 2298, 2299, 2302, 2307], "hadoop": 2199, "hair": [2207, 2297], "hair_length": 2204, "half": [121, 436, 445, 696, 908, 1472, 2199, 2212, 2298], "halflif": [121, 696, 2212, 2283], "ham": [1184, 2197], "hameleon": 864, "hampshir": 2199, "hand": [1, 2, 6, 62, 212, 615, 787, 831, 1398, 2185, 2186, 2187, 2191, 2194, 2195, 2199, 2201, 2210, 2211, 2218, 2220, 2222, 2226, 2228, 2231, 2232, 2235, 2261, 2280, 2283, 2290, 2294, 2298], "handi": [2184, 2199], "handl": [3, 10, 13, 15, 16, 18, 19, 21, 25, 28, 33, 34, 153, 182, 184, 185, 200, 201, 245, 251, 256, 257, 262, 269, 278, 280, 286, 331, 341, 428, 517, 634, 686, 692, 760, 774, 775, 818, 862, 866, 874, 879, 884, 888, 904, 995, 1014, 1031, 1064, 1146, 1379, 1443, 1444, 1453, 1454, 1469, 1470, 1474, 1475, 1476, 1485, 1486, 1498, 2166, 2167, 2172, 2184, 2185, 2186, 2188, 2191, 2192, 2196, 2197, 2200, 2202, 2203, 2204, 2207, 2211, 2212, 2214, 2215, 2217, 2218, 2219, 2220, 2221, 2223, 2226, 2227, 2229, 2230, 2231, 2232, 2233, 2234, 2239, 2240, 2243, 2248, 2249, 2257, 2260, 2261, 2263, 2264, 2265, 2278, 2283, 2284, 2286, 2289, 2292, 2293, 2294, 2295, 2298, 2302, 2307], "handle_data": 2199, "handle_obj": 2199, "handle_open": [16, 17, 18, 19, 2199, 2235], "handler": [16, 17, 18, 19, 258, 889, 1487, 2199, 2231, 2235], "happen": [0, 1, 2, 13, 16, 32, 56, 125, 701, 873, 1280, 1354, 1374, 1380, 1381, 1498, 2185, 2188, 2191, 2194, 2197, 2217, 2220, 2232, 2235, 2241, 2246, 2261, 2263, 2277, 2278, 2298, 2307], "happi": [1, 13], "hard": [13, 15, 2166, 2186, 2190, 2197, 2199, 2217, 2223, 2227, 2246, 2302, 2307, 2308], "harden": 2246, "harder": [13, 15, 2205], "hardli": 2186, "hardwar": [2, 13, 2193], "harmlessli": 2257, "harri": [23, 32, 2199], "has_dupl": [400, 2225], "has_head": [16, 17, 18, 19, 2199, 2235], "has_index_nam": [16, 17, 18, 19, 2199, 2203, 2228, 2235, 2238, 2298], "has_paramet": [2194, 2201, 2203, 2294, 2302, 2307], "has_tabl": 2199, "hasattr": [2188, 2199, 2225], "hash": [3, 351, 905, 1039, 1094, 1265, 2163, 2164, 2165, 2172, 2232, 2235, 2241, 2246, 2261, 2265, 2277, 2283, 2289, 2307], "hash_kei": [1039, 2164, 2165, 2283], "hash_pandas_object": [1039, 1043, 2235, 2246, 2265, 2283], "hashabl": [12, 142, 145, 354, 435, 509, 573, 750, 783, 833, 1031, 1068, 1094, 1389, 1469, 1486, 2185, 2191, 2192, 2194, 2197, 2231, 2232, 2241, 2246, 2247, 2265, 2275, 2283, 2299], "hashmap": 2289, "hashtabl": [1388, 2191, 2194, 2220, 2232, 2235, 2249], "hashtable_class_help": [2191, 2194], "hashtag": 203, "hasnan": 2246, "hat": 5, "have": [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 12, 13, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 29, 30, 31, 32, 34, 36, 39, 44, 45, 48, 49, 55, 57, 60, 63, 75, 76, 85, 90, 92, 96, 99, 102, 103, 104, 105, 106, 107, 114, 117, 119, 121, 122, 123, 127, 131, 141, 147, 151, 153, 157, 167, 169, 176, 179, 183, 184, 185, 192, 196, 197, 203, 205, 207, 208, 212, 213, 214, 218, 219, 224, 230, 240, 241, 242, 251, 261, 263, 268, 270, 273, 279, 280, 281, 286, 288, 296, 306, 307, 308, 309, 316, 318, 345, 350, 351, 376, 386, 390, 455, 469, 473, 498, 573, 584, 585, 596, 602, 610, 613, 616, 619, 622, 624, 625, 626, 627, 628, 629, 639, 652, 658, 659, 660, 661, 670, 673, 693, 695, 696, 697, 699, 703, 715, 716, 717, 732, 761, 771, 778, 781, 782, 787, 788, 793, 794, 804, 816, 817, 821, 829, 874, 884, 898, 900, 940, 943, 948, 953, 1050, 1052, 1068, 1076, 1091, 1117, 1136, 1141, 1145, 1146, 1152, 1155, 1158, 1164, 1193, 1194, 1203, 1204, 1211, 1213, 1215, 1221, 1231, 1232, 1254, 1255, 1264, 1274, 1315, 1332, 1342, 1344, 1345, 1348, 1354, 1387, 1388, 1393, 1394, 1397, 1400, 1403, 1404, 1407, 1416, 1430, 1433, 1445, 1446, 1453, 1454, 1455, 1469, 1470, 1473, 1475, 1482, 1485, 1486, 1487, 1497, 1741, 2166, 2167, 2168, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2216, 2217, 2218, 2219, 2220, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2235, 2237, 2239, 2240, 2243, 2246, 2248, 2249, 2250, 2257, 2261, 2263, 2264, 2265, 2271, 2272, 2277, 2278, 2280, 2283, 2286, 2287, 2294, 2297, 2302, 2303, 2306, 2307, 2308], "haven": [2207, 2246], "hawk": 152, "hbp": [2191, 2197, 2231], "hdf": [256, 262, 263, 346, 888, 1345, 1391, 1474, 1488, 1490, 2199, 2202, 2218, 2228, 2232, 2237, 2238, 2271], "hdf5": [16, 19, 22, 34, 256, 265, 271, 350, 352, 888, 895, 899, 1357, 1474, 1479, 2172, 2196, 2224, 2225, 2228, 2229, 2238, 2246, 2248, 2249, 2263, 2265, 2271, 2277, 2298], "hdfstore": [256, 888, 1347, 1351, 1376, 1474, 2172, 2188, 2199, 2213, 2214, 2216, 2217, 2219, 2220, 2222, 2224, 2226, 2227, 2229, 2230, 2232, 2234, 2236, 2237, 2238, 2239, 2241, 2246, 2249, 2257, 2263, 2265, 2271, 2277, 2283, 2294, 2298, 2302], "he": 2248, "head": [2, 3, 6, 15, 16, 17, 18, 19, 24, 25, 26, 27, 28, 29, 30, 31, 32, 35, 134, 168, 176, 179, 248, 709, 754, 757, 881, 1242, 1243, 2184, 2188, 2191, 2192, 2195, 2196, 2205, 2206, 2207, 2210, 2212, 2218, 2220, 2223, 2225, 2226, 2230, 2232, 2235, 2238, 2249, 2255, 2277, 2289, 2298, 2302], "head_tr": 2207, "header": [3, 16, 17, 18, 19, 23, 29, 251, 253, 257, 258, 259, 260, 263, 265, 268, 269, 272, 339, 341, 884, 886, 889, 890, 892, 895, 897, 1345, 1356, 1391, 1395, 1396, 1404, 1406, 1413, 1414, 1415, 1416, 1419, 1423, 1431, 1432, 1433, 1435, 1469, 1470, 1471, 1475, 1476, 1478, 1479, 1485, 1486, 1487, 1488, 1490, 2199, 2202, 2203, 2214, 2217, 2218, 2220, 2222, 2229, 2230, 2231, 2232, 2234, 2235, 2238, 2239, 2246, 2249, 2250, 2257, 2263, 2271, 2285, 2289, 2292, 2294, 2298, 2300, 2302, 2307], "heap": 2241, "heapsort": [233, 234, 589, 807, 808, 1044], "heath": 32, "heatmap": 2207, "heavi": [4, 2193, 2207], "heavili": [2185, 2186, 2261], "height": [15, 65, 91, 186, 241, 242, 259, 282, 283, 762, 817, 890, 910, 1154, 1188, 1249, 1345, 1391, 1398, 1419, 1443, 1458, 1465, 1488, 1490, 2195, 2202, 2204, 2207, 2211, 2222, 2238, 2241, 2249, 2289], "height_in": 1265, "heikkinen": 32, "held": [7, 1053, 1118, 2190, 2283, 2302], "helen": 32, "hello": [833, 2191, 2199, 2201, 2203], "help": [0, 1, 2, 3, 4, 5, 6, 8, 13, 21, 34, 243, 1394, 1469, 1472, 1486, 2197, 2199, 2201, 2207, 2229, 2230, 2238, 2240, 2246, 2249, 2265, 2271, 2283], "helper": [2, 3, 478, 509, 871, 1064, 1466, 2172, 2211, 2220], "helsinki": [586, 2210], "hemispher": 2221, "henc": [26, 29, 30, 31, 573, 1345, 1391, 1488, 1490, 2186, 2190, 2193, 2202, 2204, 2249], "henri": [23, 25, 32], "her": 32, "here": [1, 2, 3, 4, 5, 7, 9, 10, 13, 15, 16, 17, 18, 19, 22, 24, 30, 31, 34, 44, 49, 107, 110, 228, 247, 251, 253, 258, 260, 263, 265, 267, 268, 272, 341, 345, 346, 351, 629, 808, 821, 824, 880, 884, 886, 889, 892, 895, 896, 916, 931, 1007, 1036, 1051, 1064, 1068, 1146, 1148, 1149, 1152, 1164, 1167, 1187, 1202, 1207, 1208, 1211, 1221, 1248, 1274, 1289, 1342, 1344, 1387, 1403, 1404, 1431, 1433, 1447, 1469, 1470, 1471, 1475, 1476, 1478, 1479, 1482, 1485, 1486, 1487, 2184, 2185, 2186, 2188, 2191, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2203, 2207, 2208, 2210, 2211, 2212, 2214, 2216, 2217, 2218, 2220, 2222, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2235, 2236, 2238, 2239, 2241, 2242, 2246, 2249, 2257, 2265, 2271, 2277, 2294, 2298, 2302, 2307, 2308], "hesit": [0, 2199], "heterogen": [34, 63, 238, 261, 505, 2186, 2225, 2233, 2272, 2298], "hewlett": 25, "hex": [1394, 2207, 2229], "hexagon": [69, 109, 129, 171, 173, 192, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 2220], "hexbin": [26, 186, 762, 1188, 1249, 2211, 2220, 2225, 2228, 2246, 2277], "hh": [341, 983], "hhmmss": 2230, "hi": [486, 2199], "hidden": [1400, 1402, 1406, 1416, 1423, 1435, 2207, 2241, 2289, 2307], "hidden_column": 2283, "hidden_index": 2283, "hide": [17, 1402, 1416, 1419, 1422, 1433, 1435, 2211, 2226, 2230, 2285, 2289], "hide_column": [1435, 2241, 2285, 2289, 2298], "hide_column_nam": 1435, "hide_index": [1435, 2241, 2289, 2298], "hide_index_nam": 1435, "hierarch": [12, 30, 34, 123, 134, 184, 185, 253, 256, 257, 259, 269, 272, 279, 354, 478, 494, 709, 886, 888, 890, 1146, 1345, 1391, 1431, 1432, 1433, 1434, 1453, 1454, 1488, 1490, 2184, 2186, 2195, 2196, 2197, 2202, 2204, 2210, 2214, 2216, 2229, 2232, 2243, 2254, 2257, 2259, 2262], "hierarchi": [224, 353, 2186, 2194, 2195, 2199, 2204, 2217, 2218, 2225, 2246], "high": [3, 13, 16, 17, 19, 34, 36, 133, 208, 708, 782, 1185, 1191, 1204, 1246, 1252, 1280, 1288, 1397, 1430, 1433, 1469, 1482, 1486, 2194, 2196, 2199, 2207, 2210, 2214, 2218, 2238, 2239, 2241, 2261, 2271, 2277, 2278], "higher": [3, 10, 15, 30, 34, 146, 202, 513, 515, 535, 720, 776, 916, 1190, 1251, 1272, 1275, 1280, 1286, 1314, 1331, 1374, 1398, 1411, 1476, 1500, 2185, 2186, 2188, 2194, 2195, 2199, 2207, 2210, 2214, 2222, 2226, 2230, 2239, 2241, 2246, 2249, 2264, 2265, 2271, 2277, 2289, 2299, 2302, 2307], "highest": [50, 107, 172, 205, 605, 617, 629, 778, 830, 835, 858, 859, 1164, 1191, 1221, 1252, 1315, 1332, 2207], "highest_protocol": [265, 895, 2238], "highli": [2, 10, 22, 207, 209, 210, 781, 784, 1031, 1152, 1211, 1463, 2185, 2186, 2193, 2199, 2228, 2230, 2238, 2241, 2246, 2294], "highlight": [6, 1396, 1407, 1408, 1409, 1410, 1411, 1414, 1415, 1433, 2185, 2217, 2218, 2219, 2220, 2221, 2222, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2234, 2235, 2238, 2239, 2241, 2246, 2283, 2290], "highlight_between": [1408, 1409, 1410, 1411, 1415, 2207, 2283], "highlight_header_miss": 1415, "highlight_last_level": 1415, "highlight_max": [1395, 1400, 1402, 1407, 1409, 1410, 1411, 1415, 1433, 1435, 2207, 2235, 2283, 2285], "highlight_min": [1407, 1408, 1410, 1411, 1415, 2207, 2283, 2285], "highlight_nul": [1399, 1407, 1408, 1409, 1411, 1415, 2207, 2271, 2283, 2294, 2298], "highlight_quantil": [1407, 1408, 1409, 1410, 2207, 2283], "highlight_x": [1396, 1414], "hinsdal": 2199, "hint": [11, 1388, 2172, 2210, 2302], "hippo": [369, 634, 724], "hist": [26, 91, 186, 762, 1188, 1249, 1458, 1465, 2195, 2211, 2217, 2218, 2220, 2221, 2222, 2226, 2227, 2228, 2235, 2261, 2265, 2271, 2277, 2289, 2298], "hist_kwd": 1465, "histogram": [91, 137, 186, 192, 193, 713, 762, 768, 1173, 1188, 1230, 1249, 1458, 1465, 2184, 2216, 2222, 2224, 2246, 2261, 2271], "histogram_intersect": [99, 622, 1155, 1213], "histor": [5, 2195, 2199, 2246, 2307], "histori": [247, 880, 2186, 2199, 2212, 2294], "hit": [1, 2, 953, 2193, 2210], "hline": 1433, "hobbi": 2249, "hoc": 2218, "hold": [0, 2, 9, 24, 137, 256, 326, 354, 391, 392, 393, 394, 395, 398, 399, 430, 540, 680, 888, 956, 1013, 1014, 1123, 1124, 1173, 1433, 1463, 2167, 2184, 2186, 2188, 2190, 2191, 2194, 2197, 2199, 2208, 2210, 2218, 2222, 2227, 2232, 2235, 2241, 2242, 2246, 2249, 2265, 2277, 2283, 2294, 2301, 2302], "holder": 34, "holds_integ": 2298, "hole": [74, 79, 125, 207, 208, 377, 583, 591, 701, 781, 782, 1040, 1052, 1167, 1224, 1275], "holidai": [1145, 1657, 1677, 1699, 1720, 1776, 2217, 2220, 2222, 2227, 2229, 2231, 2238, 2271, 2289, 2298, 2307], "holidaycalendarfactori": 2210, "holymoli": 2199, "home": [5, 22, 2186, 2225], "homogen": [3, 34, 63, 274, 568, 2186, 2199, 2200, 2204, 2219, 2220, 2225, 2298, 2302], "hong_kong": 1344, "honolulu": 2199, "honor": [2197, 2210, 2219, 2220, 2246, 2277, 2285, 2298], "honour": 2232, "hood": [192, 212, 787, 1121, 2166, 2197, 2199, 2210, 2283], "hook": [2, 5, 10, 1039, 2254, 2258], "hope": [2207, 2239], "horizont": [30, 96, 186, 188, 189, 197, 241, 619, 762, 764, 765, 1146, 1188, 1249, 1345, 1391, 1456, 1488, 1490, 2185, 2202, 2211, 2224, 2225, 2226, 2238, 2249], "hors": [137, 172, 186, 188, 189, 195, 762, 764, 765, 770, 835, 850, 859, 1157, 1160, 1162, 1173, 1188, 1214, 1217, 1219, 1249, 1273, 1365, 2202], "host": [1, 4, 13, 16, 17, 18, 19, 251, 253, 258, 260, 263, 265, 268, 272, 341, 573, 884, 886, 889, 892, 895, 1431, 1469, 1470, 1471, 1472, 1475, 1476, 1477, 1478, 1479, 1480, 1485, 1486, 1487, 1491, 2199, 2209, 2222, 2235], "hou": [2191, 2197, 2231], "hour": [13, 31, 213, 278, 286, 288, 296, 318, 331, 510, 524, 530, 532, 540, 552, 637, 639, 640, 652, 673, 686, 788, 904, 916, 920, 923, 927, 930, 940, 941, 943, 948, 953, 957, 970, 983, 995, 997, 1005, 1500, 1502, 1510, 1511, 1513, 1514, 1515, 1516, 1519, 1528, 1529, 1531, 1532, 1533, 1534, 1537, 1546, 1547, 1549, 1550, 1551, 1552, 1556, 1564, 1565, 1567, 1568, 1569, 1570, 1574, 1584, 1585, 1587, 1588, 1589, 1590, 1593, 1598, 1605, 1606, 1608, 1609, 1610, 1611, 1614, 1624, 1625, 1627, 1628, 1629, 1630, 1633, 1641, 1642, 1644, 1645, 1646, 1647, 1650, 1663, 1664, 1666, 1667, 1668, 1669, 1672, 1677, 1684, 1685, 1687, 1688, 1689, 1690, 1693, 1705, 1706, 1708, 1709, 1710, 1711, 1715, 1726, 1727, 1729, 1730, 1731, 1732, 1736, 1741, 1745, 1746, 1748, 1749, 1750, 1751, 1754, 1762, 1763, 1764, 1766, 1767, 1768, 1769, 1772, 1773, 1780, 1781, 1783, 1784, 1785, 1786, 1789, 1799, 1800, 1802, 1803, 1804, 1805, 1808, 1821, 1822, 1824, 1825, 1826, 1827, 1830, 1861, 1862, 1864, 1865, 1866, 1867, 1870, 1880, 1881, 1882, 1884, 1885, 1886, 1887, 1890, 1891, 1898, 1899, 1900, 1902, 1903, 1904, 1905, 1908, 1909, 1916, 1917, 1918, 1920, 1921, 1922, 1923, 1926, 1927, 1934, 1935, 1937, 1938, 1939, 1940, 1943, 1951, 1952, 1954, 1955, 1956, 1957, 1960, 1968, 1969, 1970, 1972, 1973, 1974, 1975, 1978, 1979, 1986, 1987, 1989, 1990, 1991, 1992, 1995, 2004, 2005, 2007, 2008, 2009, 2010, 2013, 2022, 2023, 2024, 2026, 2027, 2028, 2029, 2032, 2033, 2041, 2042, 2044, 2045, 2046, 2047, 2050, 2059, 2060, 2062, 2063, 2064, 2065, 2068, 2076, 2077, 2078, 2080, 2081, 2082, 2083, 2086, 2087, 2094, 2095, 2097, 2098, 2099, 2100, 2103, 2112, 2113, 2115, 2116, 2117, 2118, 2121, 2131, 2132, 2134, 2135, 2136, 2137, 2141, 2149, 2150, 2152, 2153, 2154, 2155, 2159, 2172, 2186, 2209, 2221, 2222, 2223, 2225, 2226, 2232, 2235, 2241, 2246, 2249, 2265, 2271, 2298, 2307], "hourli": [31, 513, 515, 535, 2210], "hours_seri": 637, "hous": [2, 4, 823], "household": 2220, "household_id": 2220, "hover": [6, 1421, 1423, 2207, 2283], "how": [0, 1, 2, 3, 5, 7, 8, 10, 11, 13, 14, 15, 16, 17, 18, 19, 21, 33, 34, 36, 77, 79, 110, 114, 146, 153, 169, 182, 188, 197, 205, 212, 214, 249, 251, 255, 256, 257, 267, 269, 270, 278, 280, 286, 288, 296, 318, 331, 341, 371, 404, 478, 494, 511, 533, 541, 563, 591, 636, 639, 652, 673, 686, 720, 760, 764, 778, 787, 882, 884, 888, 893, 896, 898, 904, 940, 943, 948, 957, 970, 997, 1014, 1031, 1064, 1145, 1146, 1153, 1166, 1183, 1192, 1202, 1212, 1223, 1244, 1253, 1272, 1274, 1275, 1286, 1315, 1332, 1394, 1398, 1403, 1404, 1446, 1448, 1468, 1469, 1473, 1474, 1476, 1486, 1494, 1498, 2184, 2185, 2186, 2187, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2200, 2202, 2207, 2210, 2211, 2212, 2214, 2218, 2220, 2221, 2222, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2232, 2235, 2238, 2241, 2257, 2260, 2261, 2265, 2271, 2277, 2278, 2283, 2294, 2298, 2302, 2307, 2308], "howel": 32, "howev": [1, 2, 3, 4, 5, 17, 18, 30, 32, 34, 39, 77, 94, 102, 108, 176, 179, 203, 210, 212, 262, 263, 630, 740, 784, 787, 823, 1031, 1101, 1143, 1158, 1403, 1404, 1433, 1447, 1475, 1487, 1498, 2184, 2185, 2186, 2191, 2193, 2194, 2195, 2197, 2199, 2202, 2204, 2207, 2210, 2211, 2212, 2214, 2215, 2216, 2220, 2224, 2225, 2230, 2235, 2238, 2246, 2247, 2249, 2257, 2261, 2265, 2267, 2283, 2294, 2295, 2298, 2302], "hpa": 27, "hr": [916, 1444, 1500, 2186, 2191, 2227, 2230], "hr1": 1444, "hr2": 1444, "href": [1403, 1404, 1475, 2199, 2207], "hroja": 35, "hrule": [1345, 1391, 1433, 1488, 1490, 2202], "hspace": 2211, "ht": [2166, 2277], "ht1": 2166, "ht2": 2166, "ht_one": 2166, "ht_two": 2166, "html": [3, 4, 5, 6, 13, 36, 66, 203, 243, 250, 257, 259, 265, 269, 272, 352, 862, 866, 883, 890, 895, 999, 1345, 1373, 1391, 1394, 1395, 1396, 1403, 1404, 1413, 1414, 1417, 1418, 1420, 1421, 1422, 1423, 1424, 1425, 1432, 1433, 1435, 1474, 1475, 1487, 1488, 1490, 2172, 2196, 2197, 2202, 2208, 2211, 2216, 2217, 2218, 2219, 2220, 2222, 2227, 2232, 2235, 2236, 2238, 2241, 2246, 2247, 2249, 2250, 2255, 2258, 2277, 2283, 2289, 2291, 2294, 2298, 2302, 2307], "html5": 2199, "html5lib": [22, 1475, 2199, 2217, 2294], "html_encod": 2222, "html_str": 2199, "html_string": 257, "html_style": [1405, 1426], "html_tabl": [1405, 1427, 2199, 2207], "htmlformatt": 2246, "http": [1, 2, 5, 6, 13, 16, 17, 18, 19, 22, 35, 66, 203, 234, 251, 253, 258, 260, 263, 265, 267, 268, 272, 341, 352, 862, 866, 884, 886, 889, 892, 895, 896, 923, 999, 1272, 1275, 1306, 1323, 1403, 1404, 1431, 1455, 1457, 1461, 1469, 1470, 1471, 1472, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1485, 1486, 1487, 1793, 1815, 2197, 2199, 2207, 2208, 2211, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2244, 2245, 2246, 2249, 2250, 2251, 2252, 2253, 2254, 2255, 2256, 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, 2310], "http_class": [16, 17, 18, 19, 2199, 2235], "http_conn_arg": [16, 17, 18, 19, 2199, 2235], "http_statu": [207, 781], "httpconnect": [16, 17, 18, 19, 2199, 2235], "httplib2": 2221, "https_open": [16, 17, 18, 19, 2199, 2235], "httpsconnect": [16, 17, 18, 19, 2199, 2235], "httpserver": 2, "httpshandler": [16, 17, 18, 19, 2199, 2235], "huge": [1433, 2230, 2277, 2302, 2307], "human": [2, 144, 211, 494, 1491, 2194], "hundr": [2199, 2294], "hurt": 2190, "huyng": 2216, "hvplot": 2211, "hyperlink": [1403, 1404, 1433, 2199, 2207, 2289, 2291], "hyperref": 1433, "hyphen": [3, 873, 2166], "hypothesi": [22, 2246, 2294, 2298, 2302], "hypothet": 2195, "i": [0, 1, 2, 3, 4, 5, 7, 9, 10, 12, 13, 14, 15, 16, 17, 18, 19, 21, 22, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 41, 42, 44, 46, 49, 53, 54, 56, 60, 61, 62, 63, 65, 66, 68, 69, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 87, 88, 89, 90, 91, 92, 94, 96, 97, 98, 99, 100, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 131, 132, 134, 135, 136, 137, 138, 139, 140, 141, 142, 144, 145, 146, 147, 148, 149, 151, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 175, 176, 177, 178, 179, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 230, 232, 233, 234, 237, 238, 240, 241, 242, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 291, 292, 294, 296, 300, 301, 303, 304, 305, 306, 307, 308, 309, 310, 314, 316, 318, 321, 322, 325, 328, 329, 330, 331, 332, 334, 337, 341, 342, 345, 346, 348, 351, 353, 355, 356, 357, 359, 360, 362, 363, 364, 365, 367, 369, 370, 371, 373, 375, 376, 377, 378, 380, 381, 383, 390, 391, 392, 393, 394, 395, 398, 399, 401, 402, 403, 405, 406, 408, 413, 419, 420, 421, 423, 425, 426, 427, 429, 430, 431, 432, 433, 434, 436, 439, 445, 447, 448, 449, 453, 454, 457, 459, 461, 462, 464, 465, 466, 467, 468, 476, 478, 481, 482, 483, 485, 486, 488, 489, 490, 491, 494, 498, 502, 503, 505, 510, 513, 515, 523, 532, 533, 535, 538, 562, 563, 568, 571, 573, 574, 575, 576, 577, 578, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 608, 613, 614, 615, 616, 617, 619, 620, 621, 622, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 639, 643, 644, 646, 652, 655, 656, 657, 658, 659, 660, 661, 667, 670, 673, 677, 681, 683, 684, 685, 686, 688, 692, 693, 694, 695, 696, 697, 699, 700, 701, 702, 703, 704, 706, 707, 709, 710, 712, 713, 714, 715, 716, 717, 718, 720, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 753, 754, 755, 756, 757, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 804, 806, 807, 808, 816, 817, 819, 820, 821, 822, 823, 824, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 847, 848, 850, 852, 853, 854, 855, 857, 858, 859, 860, 861, 862, 864, 865, 866, 867, 869, 870, 871, 872, 873, 874, 877, 878, 879, 880, 881, 882, 883, 884, 886, 888, 889, 890, 891, 892, 893, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 907, 908, 909, 910, 911, 912, 913, 915, 916, 918, 923, 927, 930, 931, 940, 943, 945, 948, 950, 952, 953, 956, 957, 970, 975, 976, 977, 978, 979, 980, 981, 983, 997, 1000, 1006, 1007, 1008, 1009, 1011, 1013, 1014, 1031, 1032, 1034, 1035, 1039, 1040, 1041, 1042, 1043, 1045, 1050, 1052, 1056, 1059, 1060, 1061, 1063, 1064, 1065, 1067, 1068, 1069, 1071, 1072, 1073, 1076, 1077, 1078, 1079, 1080, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1092, 1093, 1095, 1096, 1097, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1127, 1128, 1130, 1131, 1132, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1148, 1149, 1150, 1151, 1152, 1155, 1156, 1158, 1159, 1164, 1165, 1167, 1168, 1169, 1170, 1172, 1173, 1174, 1175, 1177, 1178, 1179, 1181, 1182, 1183, 1187, 1188, 1191, 1192, 1193, 1194, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1207, 1208, 1209, 1210, 1211, 1213, 1215, 1216, 1221, 1222, 1224, 1226, 1227, 1229, 1230, 1231, 1232, 1236, 1237, 1238, 1240, 1241, 1242, 1243, 1244, 1248, 1249, 1252, 1253, 1254, 1255, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1267, 1269, 1270, 1272, 1275, 1276, 1277, 1280, 1281, 1286, 1289, 1291, 1293, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1347, 1348, 1349, 1350, 1351, 1353, 1354, 1356, 1358, 1360, 1361, 1364, 1366, 1368, 1371, 1373, 1374, 1375, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1387, 1388, 1389, 1390, 1391, 1392, 1393, 1394, 1395, 1396, 1397, 1398, 1400, 1402, 1403, 1404, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1421, 1423, 1424, 1430, 1431, 1432, 1433, 1434, 1435, 1436, 1437, 1439, 1441, 1442, 1443, 1444, 1445, 1446, 1447, 1448, 1449, 1450, 1452, 1453, 1454, 1455, 1456, 1457, 1458, 1459, 1462, 1463, 1464, 1466, 1467, 1468, 1469, 1470, 1471, 1472, 1473, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1490, 1493, 1494, 1495, 1496, 1497, 1498, 1499, 1500, 1501, 1502, 1507, 1509, 1525, 1527, 1543, 1545, 1561, 1563, 1580, 1583, 1600, 1604, 1620, 1621, 1623, 1637, 1638, 1640, 1657, 1659, 1662, 1677, 1679, 1683, 1699, 1701, 1704, 1720, 1722, 1725, 1741, 1742, 1744, 1759, 1762, 1773, 1776, 1777, 1779, 1793, 1794, 1798, 1815, 1816, 1820, 1840, 1843, 1854, 1857, 1858, 1860, 1877, 1880, 1891, 1895, 1898, 1909, 1913, 1916, 1927, 1930, 1931, 1933, 1947, 1948, 1950, 1965, 1968, 1979, 1983, 1985, 2001, 2003, 2019, 2022, 2033, 2037, 2040, 2055, 2058, 2073, 2076, 2087, 2091, 2093, 2108, 2109, 2111, 2127, 2128, 2130, 2145, 2146, 2148, 2163, 2164, 2165, 2166, 2167, 2168, 2169, 2172, 2174, 2175, 2180, 2184, 2185, 2186, 2187, 2190, 2192, 2193, 2194, 2195, 2196, 2197, 2198, 2199, 2200, 2201, 2202, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2233, 2234, 2236, 2237, 2239, 2240, 2241, 2242, 2243, 2245, 2247, 2248, 2250, 2253, 2255, 2256, 2257, 2260, 2261, 2263, 2264, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2276, 2278, 2279, 2280, 2282, 2284, 2285, 2286, 2287, 2290, 2291, 2292, 2293, 2295, 2296, 2297, 2299, 2300, 2303, 2304, 2306, 2308], "i1": [455, 466, 2207, 2228], "i2": [455, 466, 2207, 2228], "i3": [455, 466], "i4": [63, 131, 266, 455, 2191, 2194], "i5": 455, "i6": 455, "i8": [266, 1359], "ia": [278, 904], "iam": 2218, "iat": [2, 83, 141, 594, 717, 2169, 2180, 2184, 2188, 2197, 2218, 2220, 2222, 2228, 2235, 2238, 2246, 2271, 2283, 2290], "ibb": [2191, 2197, 2231], "ical": 0, "iceland": [176, 179, 754, 757, 1242, 1243], "iceweasel": [207, 781], "icol": [2216, 2228, 2235, 2257], "id": [2, 5, 8, 15, 24, 25, 28, 29, 30, 32, 255, 257, 267, 345, 896, 1146, 1184, 1394, 1420, 1422, 1424, 1432, 1443, 1473, 1475, 2166, 2184, 2186, 2191, 2195, 2197, 2199, 2204, 2205, 2218, 2222, 2227, 2231, 2237, 2238, 2241, 2246, 2249, 2294], "id001": [2199, 2249], "id1230": 2199, "id1594": 2199, "id1849": 2199, "id1948": 2199, "id8141": 2199, "id_0": 2205, "id_1": 2199, "id_2": 2199, "id_loc": 29, "id_n": 2199, "id_var": [15, 29, 167, 1445, 2204, 2265, 2271], "idea": [0, 1, 3, 10, 34, 36, 857, 2199, 2211, 2241], "ideal": [0, 2, 13, 34, 1068, 1487], "ident": [96, 167, 200, 201, 245, 376, 390, 475, 699, 774, 775, 862, 866, 879, 1117, 1138, 1146, 1388, 1396, 1397, 1422, 1423, 1430, 1445, 1469, 1486, 1493, 1494, 1495, 1496, 2185, 2186, 2188, 2191, 2199, 2206, 2207, 2209, 2210, 2211, 2218, 2219, 2228, 2232, 2235, 2238, 2247, 2249, 2257, 2261, 2271, 2294, 2298, 2302], "identifi": [4, 12, 17, 27, 112, 116, 134, 142, 152, 167, 185, 203, 226, 233, 256, 337, 376, 699, 709, 718, 801, 888, 1345, 1388, 1391, 1394, 1402, 1406, 1407, 1411, 1424, 1432, 1444, 1445, 1454, 1470, 1474, 1475, 1480, 1487, 1488, 1490, 1498, 2166, 2185, 2186, 2193, 2197, 2198, 2199, 2202, 2204, 2207, 2232, 2236, 2241, 2246, 2247, 2251, 2254, 2265, 2271, 2283, 2286, 2289, 2292], "idiom": [163, 284, 741, 912, 2185, 2218, 2220], "idiomat": [2197, 2218, 2235, 2238], "idiosyncrasi": 1475, "idl": [1345, 1391, 1488, 1490, 2202], "ids2": 2197, "idx": [3, 56, 164, 170, 245, 264, 270, 286, 287, 289, 291, 293, 295, 298, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 314, 316, 317, 320, 321, 323, 324, 325, 326, 327, 328, 329, 355, 358, 361, 362, 363, 364, 365, 366, 368, 369, 371, 372, 373, 377, 379, 381, 383, 384, 387, 388, 391, 392, 393, 394, 395, 398, 399, 400, 401, 402, 405, 406, 407, 408, 409, 411, 412, 413, 417, 418, 419, 421, 422, 424, 425, 426, 427, 430, 431, 432, 433, 435, 437, 439, 440, 476, 477, 482, 484, 500, 501, 519, 540, 542, 543, 544, 545, 546, 547, 548, 549, 551, 554, 555, 556, 557, 558, 560, 563, 564, 565, 566, 567, 570, 571, 572, 574, 641, 643, 645, 647, 651, 655, 656, 657, 658, 659, 660, 661, 667, 670, 671, 678, 679, 680, 683, 684, 742, 746, 751, 752, 789, 805, 853, 861, 879, 891, 894, 898, 939, 944, 945, 950, 952, 1051, 1139, 1192, 1253, 1362, 1392, 1436, 2185, 2186, 2188, 2191, 2194, 2197, 2199, 2201, 2203, 2207, 2208, 2210, 2216, 2220, 2222, 2226, 2228, 2231, 2232, 2235, 2240, 2241, 2246, 2265, 2271, 2277, 2289, 2298, 2302], "idx1": [367, 375, 386, 389, 390, 404, 415, 429, 434, 1051, 1347, 2197, 2232, 2283], "idx2": [367, 375, 386, 389, 404, 415, 429, 434, 1347, 2197, 2232, 2283], "idx_dupl": 383, "idx_not_sort": 362, "idx_val": 2265, "idxmax": [32, 164, 170, 200, 201, 245, 359, 360, 587, 588, 716, 742, 746, 774, 775, 879, 1232, 2186, 2195, 2209, 2218, 2238, 2249, 2255, 2265, 2271, 2277, 2283, 2294, 2298, 2302, 2304, 2307, 2308], "idxmin": [164, 170, 200, 201, 245, 359, 360, 587, 588, 715, 742, 746, 774, 775, 879, 1231, 2186, 2195, 2209, 2218, 2219, 2238, 2249, 2255, 2265, 2271, 2277, 2283, 2294, 2298, 2302, 2304, 2307, 2308], "idxr": [2185, 2249], "ie": [2199, 2217, 2226], "ie10": [207, 781], "if_exist": [255, 267, 896, 2219, 2228], "if_sheet_exist": [341, 2283, 2289, 2294], "ifi": 2230, "iget": [2217, 2228, 2235, 2257], "iget_valu": [2216, 2228, 2235, 2257], "ignor": [2, 16, 19, 34, 60, 74, 78, 82, 103, 104, 105, 106, 107, 111, 112, 119, 121, 134, 143, 146, 162, 167, 168, 169, 172, 180, 190, 193, 207, 208, 209, 210, 212, 218, 219, 223, 226, 227, 264, 270, 274, 276, 277, 278, 280, 310, 353, 363, 368, 405, 464, 583, 593, 613, 625, 626, 627, 628, 629, 633, 695, 696, 709, 719, 720, 740, 745, 766, 768, 781, 782, 783, 784, 787, 789, 793, 798, 801, 802, 821, 823, 831, 880, 894, 898, 902, 903, 904, 945, 1040, 1042, 1052, 1059, 1078, 1117, 1130, 1150, 1151, 1164, 1172, 1183, 1193, 1196, 1201, 1202, 1209, 1210, 1221, 1229, 1244, 1254, 1257, 1262, 1263, 1280, 1343, 1345, 1390, 1391, 1397, 1403, 1404, 1406, 1422, 1423, 1430, 1433, 1443, 1445, 1446, 1469, 1470, 1474, 1482, 1486, 1488, 1490, 1494, 1496, 1498, 1499, 1500, 2166, 2185, 2186, 2192, 2194, 2197, 2201, 2202, 2203, 2204, 2207, 2208, 2209, 2212, 2218, 2219, 2220, 2221, 2222, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2235, 2236, 2238, 2241, 2246, 2248, 2249, 2250, 2265, 2267, 2269, 2271, 2272, 2273, 2277, 2278, 2279, 2283, 2285, 2292, 2294, 2295, 2297, 2298, 2300, 2302, 2307, 2308], "ignore_index": [112, 114, 123, 167, 223, 233, 234, 634, 636, 698, 798, 807, 808, 1146, 1445, 2200, 2204, 2231, 2232, 2253, 2265, 2271, 2277, 2283, 2289, 2298, 2299, 2307], "ignore_na": [121, 696, 2212, 2222], "ignore_ord": [1117, 2188, 2235], "ignorecas": [823, 828, 829, 831, 832, 850, 857, 2208], "ignorerais": 2192, "ii": [160, 226, 738, 2249], "iidx": 1433, "iii": [160, 738], "iinfo": 1499, "ijk": 2225, "ijkl": 2197, "il": [2186, 2199], "ilevel_0": 2197, "ill": 1382, "illeg": [350, 2233], "illustr": [2, 3, 23, 30, 31, 193, 207, 768, 781, 2185, 2186, 2197, 2199, 2231, 2232, 2235, 2307], "iloc": [2, 3, 15, 25, 83, 98, 138, 143, 160, 162, 212, 240, 249, 276, 285, 493, 573, 594, 621, 714, 719, 738, 787, 816, 882, 902, 913, 1064, 1170, 1192, 1202, 1227, 1253, 1263, 1277, 1354, 1494, 2169, 2180, 2184, 2185, 2186, 2188, 2190, 2191, 2195, 2197, 2198, 2201, 2204, 2205, 2206, 2207, 2210, 2211, 2216, 2217, 2218, 2219, 2220, 2222, 2223, 2226, 2228, 2230, 2232, 2235, 2238, 2241, 2246, 2249, 2266, 2271, 2275, 2277, 2289, 2293, 2297, 2298, 2302], "imag": [5, 6, 8, 2199, 2249, 2250, 2265], "imagin": [2186, 2195, 2238], "imaginari": [2289, 2310], "imbal": [121, 696], "immedi": [2, 3, 13, 182, 760, 1345, 1391, 1433, 1488, 1490, 2197, 2199, 2202, 2230], "immens": 2191, "immerrr": 2218, "immut": [12, 34, 98, 286, 326, 354, 445, 459, 540, 568, 621, 680, 718, 938, 1031, 1141, 1343, 1344, 2167, 2186, 2195, 2197, 2238, 2246], "impact": [241, 1375, 2186, 2190, 2192, 2212, 2241, 2257, 2277, 2302], "impart": 2232, "impl": [12, 2184, 2199, 2205], "implement": [2, 3, 7, 9, 10, 12, 16, 17, 18, 19, 22, 37, 38, 66, 75, 76, 121, 122, 146, 155, 156, 164, 165, 166, 170, 200, 201, 218, 225, 232, 233, 241, 242, 245, 251, 254, 258, 259, 263, 265, 267, 268, 272, 280, 283, 354, 423, 445, 568, 584, 585, 696, 697, 720, 730, 731, 742, 743, 744, 746, 774, 775, 793, 800, 806, 807, 817, 879, 884, 889, 890, 895, 896, 910, 914, 915, 995, 1000, 1031, 1034, 1040, 1042, 1044, 1052, 1053, 1056, 1064, 1068, 1077, 1090, 1119, 1120, 1121, 1123, 1124, 1143, 1193, 1203, 1254, 1259, 1264, 1343, 1345, 1387, 1391, 1432, 1433, 1434, 1471, 1472, 1475, 1477, 1478, 1479, 1480, 1487, 1488, 1490, 2167, 2185, 2186, 2187, 2188, 2190, 2191, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2210, 2211, 2212, 2214, 2215, 2217, 2218, 2219, 2220, 2221, 2222, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2239, 2241, 2242, 2246, 2249, 2250, 2253, 2254, 2255, 2256, 2257, 2261, 2262, 2265, 2271, 2277, 2283, 2285, 2289, 2296, 2297, 2298, 2299, 2307], "impli": [34, 1343, 1389, 1469, 1486, 2185, 2188, 2199, 2211, 2218, 2220, 2240, 2249], "implic": [2186, 2188, 2218, 2222, 2246], "implicit": [16, 19, 238, 282, 2215, 2289], "implicitli": [2197, 2204, 2216, 2228, 2239, 2247, 2265, 2289, 2302], "import": [0, 1, 2, 3, 4, 5, 6, 10, 12, 13, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 37, 63, 82, 144, 203, 234, 237, 250, 251, 252, 258, 262, 263, 267, 268, 334, 335, 336, 341, 532, 593, 735, 736, 737, 810, 812, 813, 814, 823, 831, 857, 866, 875, 876, 877, 883, 884, 885, 889, 896, 958, 995, 1034, 1064, 1068, 1069, 1070, 1071, 1072, 1073, 1075, 1078, 1079, 1081, 1082, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1093, 1094, 1095, 1097, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1142, 1154, 1309, 1326, 1345, 1349, 1353, 1354, 1356, 1373, 1374, 1391, 1405, 1422, 1436, 1448, 1451, 1466, 1476, 1478, 1482, 1483, 1487, 1488, 1490, 1491, 1493, 1494, 1495, 1496, 1498, 1501, 1502, 1506, 1524, 1542, 1560, 1598, 1657, 1677, 1699, 1720, 1741, 1758, 1839, 1876, 1894, 1912, 1964, 2018, 2172, 2185, 2186, 2188, 2191, 2192, 2193, 2194, 2195, 2196, 2197, 2199, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2230, 2231, 2232, 2235, 2236, 2238, 2239, 2241, 2242, 2246, 2249, 2250, 2257, 2260, 2261, 2263, 2264, 2265, 2273, 2277, 2289, 2294, 2298, 2302, 2307, 2308], "import_": [2199, 2203, 2212, 2298], "import_arrai": 2218, "import_modul": [2199, 2203, 2212, 2298], "import_optional_depend": [2, 2199, 2203, 2212, 2273, 2298], "importantli": [2185, 2186, 2191, 2208], "importerror": [2, 2184, 2199, 2203, 2205, 2212, 2228, 2232, 2238, 2249, 2250, 2283, 2289, 2298], "importlib": [2199, 2203, 2212, 2298], "impos": [1031, 1203, 1264, 2199, 2222], "imposs": [278, 331, 364, 686, 904, 2199, 2218, 2307], "imprecis": 2212, "improp": [2235, 2263], "improperli": [2215, 2233, 2235, 2241, 2246, 2249, 2251, 2267, 2283, 2294], "improv": [0, 1, 2, 4, 7, 22, 36, 74, 82, 98, 143, 169, 207, 208, 209, 210, 226, 227, 228, 264, 270, 274, 276, 277, 278, 568, 583, 593, 621, 719, 781, 782, 783, 784, 801, 802, 880, 894, 898, 902, 903, 904, 1187, 1248, 1289, 1446, 1469, 1470, 1486, 2190, 2193, 2197, 2199, 2203, 2207, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2223, 2224, 2250, 2253, 2254, 2255, 2264, 2267, 2280, 2291, 2292], "imput": [1272, 1275, 1286], "imputation_": [1272, 1275], "in64": 12, "in_index": 2197, "inaccur": [2210, 2228, 2239], "inact": 1, "inada": 35, "inadvert": [2197, 2199], "inc": [34, 2199], "incept": 34, "inch": [91, 137, 186, 713, 762, 1154, 1173, 1188, 1230, 1249, 1458, 1465], "incident": 34, "inclin": 2260, "includ": [0, 1, 2, 3, 4, 6, 9, 10, 13, 16, 17, 18, 19, 21, 23, 28, 34, 35, 39, 50, 58, 61, 62, 63, 75, 76, 88, 90, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 112, 114, 123, 134, 137, 139, 140, 142, 144, 155, 156, 160, 164, 165, 166, 168, 170, 180, 185, 191, 194, 200, 201, 202, 203, 207, 208, 213, 218, 219, 224, 225, 232, 242, 245, 251, 252, 254, 257, 262, 263, 266, 272, 281, 283, 286, 303, 350, 352, 376, 378, 407, 414, 417, 436, 455, 465, 469, 473, 489, 573, 584, 585, 599, 600, 602, 605, 611, 614, 615, 621, 625, 626, 627, 628, 629, 655, 698, 699, 709, 713, 730, 731, 738, 742, 743, 744, 745, 746, 758, 767, 769, 774, 775, 781, 782, 788, 793, 800, 806, 817, 836, 837, 838, 839, 840, 841, 842, 843, 844, 849, 857, 863, 865, 868, 879, 884, 905, 908, 910, 918, 923, 983, 1031, 1043, 1068, 1074, 1078, 1090, 1109, 1118, 1136, 1145, 1146, 1152, 1155, 1156, 1158, 1164, 1169, 1172, 1173, 1174, 1175, 1177, 1178, 1179, 1180, 1181, 1184, 1189, 1190, 1192, 1193, 1195, 1198, 1199, 1200, 1201, 1204, 1205, 1211, 1221, 1226, 1229, 1230, 1236, 1237, 1238, 1239, 1240, 1250, 1251, 1253, 1254, 1256, 1259, 1260, 1261, 1262, 1267, 1276, 1281, 1283, 1284, 1290, 1292, 1294, 1295, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1306, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1374, 1388, 1389, 1394, 1400, 1403, 1404, 1406, 1420, 1421, 1422, 1423, 1424, 1432, 1433, 1436, 1441, 1442, 1444, 1449, 1450, 1454, 1469, 1470, 1471, 1472, 1473, 1474, 1476, 1477, 1478, 1480, 1482, 1483, 1484, 1485, 1486, 1487, 1497, 2163, 2165, 2167, 2184, 2185, 2186, 2188, 2190, 2192, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2245, 2246, 2247, 2248, 2249, 2250, 2251, 2252, 2258, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, 2310], "include_bool": [186, 762, 1188, 1249], "include_end": [301, 2289, 2298], "include_group": [1152, 1192, 1211, 1253, 2195, 2307], "include_lowest": 1343, "include_start": [301, 2289, 2298], "inclus": [0, 88, 446, 460, 599, 600, 1126, 1145, 1343, 1344, 1393, 1407, 1411, 1433, 1470, 2197, 2209, 2210, 2212, 2241, 2246, 2265, 2283, 2289, 2298], "incom": [183, 761, 1142, 2215, 2241], "incompar": [367, 429, 2283], "incompat": [5, 6, 434, 1354, 1357, 2192, 2213, 2217, 2218, 2224, 2226, 2232, 2261, 2278, 2290, 2295, 2304, 2307, 2308], "incompatibilitywarn": 2294, "incompatible_valu": 2307, "incompatiblefrequ": [2210, 2231, 2232, 2271, 2283, 2294], "incomplet": [1485, 2221, 2250], "inconsist": [2199, 2210, 2218, 2220, 2221, 2222, 2224, 2225, 2228, 2230, 2232, 2235, 2238, 2240, 2241, 2242, 2246, 2249, 2263, 2265, 2271, 2274, 2277, 2278, 2293, 2294, 2298, 2302], "incorpor": 2223, "incorrect": [0, 2, 13, 258, 889, 1069, 1071, 1072, 2210, 2218, 2220, 2221, 2222, 2223, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2235, 2236, 2238, 2241, 2242, 2243, 2246, 2248, 2249, 2250, 2252, 2265, 2271, 2273, 2274, 2277, 2279, 2280, 2283, 2284, 2286, 2287, 2289, 2291, 2292, 2294, 2295, 2298, 2299, 2300, 2301, 2302, 2304, 2307, 2308, 2309], "incorrect_funct": 1369, "incorrectli": [2, 1476, 2202, 2217, 2218, 2219, 2220, 2221, 2222, 2225, 2226, 2227, 2228, 2229, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2241, 2242, 2243, 2246, 2247, 2248, 2249, 2250, 2251, 2265, 2271, 2273, 2274, 2276, 2277, 2278, 2279, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2294, 2298, 2299, 2300, 2302, 2307], "increas": [2, 121, 205, 207, 208, 230, 280, 362, 396, 397, 468, 696, 722, 757, 778, 781, 782, 804, 1132, 1191, 1196, 1235, 1243, 1252, 1257, 1280, 1469, 1473, 1486, 1498, 2185, 2186, 2199, 2200, 2201, 2208, 2219, 2220, 2225, 2227, 2230, 2231, 2253], "increment": [182, 423, 760, 1480, 1502, 1506, 1524, 1542, 1560, 1620, 1637, 1699, 1720, 1741, 1758, 1776, 1793, 1815, 1839, 1876, 1894, 1912, 1930, 1947, 1964, 1982, 2000, 2018, 2127, 2145, 2199, 2210, 2225, 2228, 2230, 2234, 2241], "incur": 2193, "ind": [191, 194, 767, 769, 823, 1469, 1470, 1486, 2197, 2199, 2218, 2241], "ind1": 2289, "ind2": 2289, "inde": [24, 29, 32], "indent": [3, 258, 272, 889, 2199, 2265], "independ": [2, 17, 28, 46, 196, 234, 351, 771, 1418, 2184, 2186, 2195, 2199, 2207, 2228, 2232, 2238, 2249, 2271, 2289, 2294, 2298], "index": [2, 3, 4, 7, 10, 11, 15, 18, 21, 22, 24, 25, 26, 29, 30, 32, 34, 35, 39, 41, 42, 44, 46, 47, 49, 53, 54, 56, 61, 62, 63, 64, 65, 66, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 83, 84, 86, 88, 89, 92, 93, 94, 95, 96, 98, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 137, 139, 140, 141, 144, 145, 146, 147, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 175, 176, 179, 180, 182, 184, 185, 186, 187, 188, 189, 195, 196, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 225, 226, 228, 230, 232, 233, 234, 237, 240, 241, 242, 244, 245, 247, 249, 250, 251, 252, 253, 254, 256, 257, 258, 259, 260, 262, 263, 264, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 291, 292, 293, 294, 295, 296, 300, 301, 306, 307, 308, 309, 314, 316, 317, 318, 322, 325, 326, 328, 330, 331, 332, 341, 342, 345, 346, 351, 440, 445, 459, 460, 465, 466, 468, 469, 475, 476, 477, 478, 479, 481, 483, 485, 487, 488, 489, 490, 491, 492, 494, 500, 501, 502, 503, 504, 505, 506, 514, 516, 540, 542, 543, 544, 545, 546, 547, 548, 554, 556, 557, 558, 560, 562, 563, 564, 565, 566, 567, 568, 573, 574, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 594, 595, 597, 600, 601, 604, 608, 609, 614, 615, 616, 617, 618, 619, 621, 622, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 639, 643, 644, 645, 646, 647, 648, 652, 658, 659, 660, 661, 664, 667, 669, 670, 671, 673, 675, 677, 680, 683, 685, 686, 688, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 706, 707, 708, 709, 710, 713, 715, 716, 717, 720, 727, 728, 729, 730, 731, 732, 733, 734, 735, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 749, 750, 751, 752, 753, 754, 757, 760, 762, 763, 764, 765, 770, 771, 772, 773, 774, 775, 776, 777, 778, 780, 781, 782, 783, 784, 785, 786, 788, 789, 790, 791, 792, 793, 795, 796, 797, 798, 799, 800, 801, 804, 805, 806, 807, 808, 812, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 877, 878, 879, 880, 882, 883, 884, 886, 888, 889, 890, 891, 892, 893, 894, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 910, 911, 912, 913, 938, 940, 942, 943, 946, 947, 948, 949, 950, 952, 1034, 1035, 1051, 1054, 1060, 1061, 1069, 1071, 1072, 1077, 1093, 1095, 1097, 1104, 1110, 1115, 1118, 1122, 1125, 1126, 1132, 1133, 1134, 1135, 1137, 1138, 1139, 1141, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1178, 1180, 1181, 1183, 1185, 1186, 1188, 1189, 1192, 1193, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1237, 1239, 1240, 1242, 1243, 1244, 1245, 1246, 1247, 1249, 1250, 1253, 1254, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1277, 1278, 1279, 1280, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1304, 1305, 1306, 1307, 1308, 1310, 1311, 1312, 1313, 1314, 1317, 1319, 1321, 1323, 1331, 1342, 1343, 1345, 1347, 1350, 1354, 1355, 1358, 1362, 1365, 1369, 1375, 1380, 1381, 1387, 1388, 1391, 1392, 1393, 1394, 1395, 1396, 1397, 1398, 1400, 1402, 1403, 1404, 1406, 1407, 1408, 1409, 1411, 1414, 1415, 1416, 1419, 1421, 1422, 1423, 1424, 1430, 1431, 1432, 1433, 1434, 1435, 1436, 1438, 1439, 1440, 1441, 1442, 1444, 1445, 1446, 1447, 1449, 1450, 1453, 1454, 1462, 1466, 1469, 1470, 1473, 1475, 1476, 1480, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1490, 1493, 1494, 1495, 1496, 1498, 1657, 1677, 1699, 1720, 2163, 2165, 2166, 2167, 2172, 2190, 2192, 2193, 2194, 2196, 2201, 2202, 2203, 2204, 2205, 2206, 2209, 2211, 2212, 2213, 2214, 2215, 2216, 2217, 2219, 2221, 2222, 2223, 2224, 2227, 2229, 2233, 2234, 2240, 2242, 2243, 2248, 2253, 2254, 2255, 2262, 2263, 2264, 2266, 2269, 2272, 2273, 2274, 2275, 2276, 2278, 2280, 2282, 2284, 2285, 2286, 2287, 2290, 2291, 2292, 2293, 2295, 2296, 2297, 2299, 2301, 2303, 2304, 2305, 2306, 2308], "index1": 2199, "index2": 2199, "index_arrai": [1073, 1074, 1075], "index_col": [16, 17, 18, 19, 26, 27, 29, 339, 1469, 1470, 1473, 1475, 1482, 1483, 1484, 1485, 1486, 2184, 2186, 2197, 2199, 2203, 2217, 2218, 2219, 2225, 2226, 2227, 2228, 2231, 2232, 2235, 2238, 2243, 2246, 2264, 2265, 2271, 2275, 2283, 2289, 2292, 2294, 2298, 2302], "index_column": 9, "index_dtyp": [266, 2246], "index_el": [267, 896], "index_label": [207, 251, 253, 267, 781, 884, 886, 896, 1431, 2199, 2220], "index_left": 2246, "index_mapp": [209, 210, 784], "index_nam": [130, 252, 257, 259, 269, 890, 1347, 1394, 1421, 2199, 2207, 2232, 2236, 2241, 2246, 2289], "index_natsort": 234, "index_right": 2246, "index_valu": 1493, "indexed1": 2197, "indexed2": 2197, "indexed_df2": 18, "indexengin": [2185, 2191, 2194, 2246], "indexer_at_tim": [84, 301, 595], "indexer_between_tim": [88, 300, 600], "indexerror": [138, 141, 714, 717, 1064, 1076, 2197, 2216, 2218, 2220, 2222, 2228, 2231, 2232, 2234, 2235, 2236, 2238, 2241, 2249, 2250, 2251, 2265, 2271, 2281, 2283, 2284, 2289, 2294, 2298, 2300, 2302, 2308], "indexingerror": [160, 738, 2197, 2234, 2271, 2277, 2294], "indexlabel": 123, "indexnam": 2230, "indexslic": [1395, 1397, 1398, 1403, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1418, 1430, 2185, 2207, 2210, 2220, 2231, 2277], "indic": [2, 3, 4, 9, 15, 18, 22, 24, 25, 28, 29, 30, 32, 39, 69, 75, 76, 91, 98, 100, 109, 114, 117, 118, 125, 129, 131, 132, 135, 148, 149, 159, 161, 169, 171, 173, 175, 177, 178, 183, 199, 204, 206, 207, 208, 214, 215, 216, 217, 220, 221, 222, 228, 241, 244, 247, 249, 251, 254, 258, 265, 266, 275, 280, 285, 292, 294, 303, 304, 305, 306, 307, 308, 309, 332, 343, 344, 358, 361, 363, 369, 373, 376, 378, 379, 380, 401, 402, 413, 417, 420, 427, 430, 449, 451, 465, 467, 469, 473, 479, 489, 502, 540, 555, 584, 585, 589, 619, 621, 622, 634, 636, 644, 646, 655, 656, 657, 658, 659, 660, 661, 688, 692, 693, 699, 701, 715, 716, 724, 725, 726, 735, 755, 756, 761, 781, 782, 799, 808, 823, 825, 826, 827, 829, 834, 846, 853, 861, 867, 880, 882, 884, 889, 895, 913, 919, 922, 929, 957, 970, 976, 977, 978, 979, 980, 981, 997, 1035, 1042, 1044, 1056, 1061, 1064, 1076, 1121, 1123, 1124, 1131, 1136, 1141, 1142, 1156, 1170, 1187, 1202, 1213, 1227, 1231, 1232, 1248, 1263, 1277, 1289, 1343, 1345, 1361, 1388, 1389, 1390, 1391, 1394, 1398, 1415, 1441, 1442, 1446, 1448, 1449, 1450, 1458, 1467, 1469, 1470, 1476, 1478, 1485, 1486, 1488, 1490, 2166, 2185, 2186, 2188, 2191, 2192, 2194, 2195, 2196, 2197, 2199, 2201, 2202, 2204, 2206, 2207, 2209, 2210, 2211, 2212, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2226, 2227, 2228, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2238, 2241, 2246, 2249, 2265, 2271, 2275, 2277, 2278, 2283, 2289, 2298, 2302, 2307], "indicator_column": 2200, "indirect": 34, "indiv": 2199, "individu": [2, 4, 10, 16, 17, 18, 19, 32, 34, 41, 53, 62, 97, 233, 256, 381, 608, 615, 620, 807, 821, 888, 941, 1393, 1407, 1421, 1433, 1469, 1486, 1498, 2167, 2186, 2188, 2191, 2199, 2202, 2204, 2205, 2207, 2210, 2211, 2215, 2217, 2218, 2232, 2242, 2249, 2265, 2277, 2298, 2304], "indomi": [112, 116], "induc": 2223, "industri": [1793, 1815, 2199], "ineffici": [203, 2185, 2195, 2218], "inequ": [118, 119, 132, 135, 159, 161, 175, 695, 2243, 2246, 2265, 2277, 2283, 2298], "inexact": [207, 208, 378, 417, 465, 489, 781, 782, 2186], "inf": [69, 109, 129, 148, 149, 171, 173, 177, 178, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 253, 275, 402, 413, 631, 706, 725, 726, 755, 756, 780, 790, 797, 886, 901, 1345, 1359, 1391, 1431, 1488, 1490, 2186, 2197, 2199, 2202, 2204, 2214, 2217, 2218, 2219, 2220, 2221, 2225, 2232, 2235, 2238, 2246, 2249, 2250, 2265, 2271, 2283, 2289, 2294, 2298, 2302, 2307], "inf_rep": [253, 886, 1431, 2220], "infer": [2, 16, 49, 63, 77, 89, 97, 124, 125, 130, 143, 146, 185, 230, 251, 258, 262, 264, 265, 268, 272, 278, 286, 288, 296, 298, 318, 326, 331, 354, 377, 387, 459, 462, 463, 464, 487, 551, 573, 575, 601, 620, 639, 652, 673, 680, 686, 700, 701, 719, 720, 804, 884, 889, 895, 904, 938, 940, 943, 948, 1078, 1112, 1118, 1125, 1128, 1129, 1130, 1141, 1146, 1167, 1224, 1280, 1345, 1391, 1392, 1454, 1469, 1470, 1472, 1476, 1479, 1480, 1485, 1486, 1487, 1488, 1490, 1498, 2186, 2188, 2195, 2197, 2198, 2201, 2202, 2208, 2209, 2210, 2211, 2218, 2219, 2220, 2221, 2222, 2224, 2225, 2226, 2227, 2228, 2229, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2256, 2261, 2271, 2274, 2277, 2283, 2289, 2294, 2298, 2300, 2302, 2304, 2307], "infer_ax": 2199, "infer_datetime_format": [16, 17, 18, 19, 1469, 1486, 1498, 2199, 2203, 2210, 2219, 2228, 2232, 2235, 2271, 2289, 2298], "infer_dst": [2222, 2241], "infer_dtyp": [2218, 2226, 2232, 2238, 2246, 2265, 2283, 2298], "infer_dtype_from_scalar": 2265, "infer_freq": [302, 944, 2220, 2224, 2227, 2238, 2261, 2283, 2294, 2298, 2302, 2307], "infer_nrow": [1472, 2246], "infer_object": [97, 620, 2186, 2199, 2298, 2307], "infer_str": [1345, 1391, 1488, 1490, 2202, 2302, 2304, 2306, 2307], "infer_typ": [2217, 2222, 2228], "inferior": 2207, "inferno": 1433, "inferred_dtyp": 2199, "inferred_freq": [230, 804, 2221, 2224, 2261, 2307], "inferred_typ": [1494, 1495, 1496, 2271, 2298], "infertimerul": 2220, "infin": [253, 356, 357, 886, 1431, 2214, 2218, 2222, 2232, 2241, 2265], "infinit": [3, 223, 798, 2186, 2199, 2212, 2222, 2230, 2238, 2265, 2271, 2294, 2305], "influenc": [134, 709, 1068, 1202, 1463, 2190, 2207, 2294], "info": [2, 13, 22, 24, 67, 126, 154, 168, 339, 440, 702, 893, 972, 1345, 1391, 1443, 1463, 1488, 1490, 1491, 2186, 2191, 2194, 2199, 2202, 2218, 2219, 2220, 2221, 2222, 2223, 2225, 2229, 2230, 2231, 2235, 2238, 2246, 2275, 2277, 2289, 2294, 2298, 2302], "inform": [2, 4, 5, 6, 8, 10, 13, 15, 21, 22, 24, 25, 28, 29, 30, 31, 32, 34, 36, 61, 62, 63, 77, 98, 111, 134, 142, 144, 146, 169, 191, 194, 196, 233, 234, 256, 268, 277, 278, 289, 330, 331, 349, 540, 573, 589, 614, 615, 621, 641, 681, 685, 686, 709, 718, 720, 767, 769, 771, 807, 808, 851, 888, 903, 904, 992, 999, 1117, 1146, 1280, 1345, 1350, 1380, 1381, 1391, 1446, 1463, 1469, 1470, 1473, 1475, 1476, 1483, 1484, 1486, 1487, 1488, 1490, 1491, 1498, 1793, 1815, 2167, 2169, 2180, 2186, 2188, 2191, 2194, 2195, 2196, 2197, 2199, 2201, 2202, 2205, 2206, 2207, 2210, 2211, 2212, 2214, 2216, 2217, 2218, 2219, 2222, 2224, 2228, 2230, 2231, 2232, 2235, 2236, 2238, 2241, 2246, 2249, 2250, 2251, 2265, 2271, 2277, 2279, 2294, 2298, 2302], "infrastructur": [13, 2193, 2197, 2257, 2261], "ingress": 66, "inher": [2197, 2218], "inherit": [10, 257, 269, 1031, 1068, 1400, 2218, 2231, 2283, 2297, 2298], "inherr": [1403, 1404], "ini_opt": 2, "initi": [2, 3, 19, 31, 84, 88, 127, 157, 252, 257, 269, 595, 600, 703, 732, 750, 885, 916, 1069, 1071, 1072, 1432, 2185, 2190, 2192, 2199, 2212, 2217, 2226, 2230, 2241, 2245, 2246, 2249, 2265, 2271, 2278, 2283, 2289, 2294, 2298], "initialis": 2265, "initobjtojson": 2218, "inject": [120, 1387], "inkwarg": 2199, "inlin": [3, 2196, 2199, 2207, 2218, 2229, 2246], "inner": [16, 17, 19, 25, 30, 74, 96, 110, 153, 169, 241, 279, 404, 583, 619, 821, 1146, 1446, 1448, 2186, 2200, 2204, 2208, 2220, 2246, 2254, 2283, 2289, 2307], "inner_join": [16, 17, 19], "innermost": [247, 880, 1478, 2231], "inplac": [16, 17, 18, 19, 87, 89, 92, 111, 112, 114, 120, 124, 125, 146, 163, 181, 203, 209, 210, 212, 214, 228, 233, 234, 284, 370, 418, 421, 483, 500, 598, 601, 616, 633, 634, 636, 700, 701, 720, 741, 759, 783, 784, 787, 789, 807, 808, 912, 1166, 1167, 1223, 1224, 1280, 1387, 2190, 2192, 2214, 2215, 2218, 2220, 2221, 2222, 2228, 2229, 2230, 2231, 2235, 2238, 2241, 2246, 2265, 2271, 2273, 2275, 2276, 2277, 2278, 2289, 2290, 2291, 2292, 2293, 2295, 2297, 2298, 2302, 2307], "input": [2, 3, 10, 13, 20, 24, 30, 31, 34, 49, 56, 63, 68, 69, 76, 78, 81, 85, 91, 92, 94, 97, 99, 100, 107, 108, 109, 120, 126, 129, 131, 134, 141, 143, 160, 162, 163, 171, 173, 183, 197, 199, 204, 206, 211, 212, 213, 215, 216, 217, 218, 219, 220, 221, 222, 227, 230, 233, 234, 244, 246, 256, 259, 264, 270, 273, 275, 278, 281, 284, 286, 346, 351, 354, 378, 380, 405, 415, 425, 426, 459, 465, 489, 499, 540, 573, 577, 578, 585, 596, 603, 616, 617, 620, 622, 629, 630, 631, 694, 702, 706, 707, 709, 710, 713, 717, 719, 734, 738, 739, 740, 741, 747, 749, 750, 753, 761, 773, 777, 780, 785, 787, 788, 790, 791, 792, 793, 795, 796, 797, 802, 804, 856, 877, 878, 888, 890, 893, 900, 901, 904, 912, 916, 927, 930, 938, 953, 1031, 1076, 1078, 1090, 1116, 1117, 1118, 1121, 1123, 1124, 1125, 1152, 1154, 1155, 1156, 1164, 1202, 1203, 1204, 1211, 1213, 1221, 1230, 1264, 1298, 1299, 1305, 1306, 1308, 1322, 1323, 1325, 1342, 1343, 1354, 1389, 1390, 1392, 1393, 1395, 1396, 1397, 1398, 1403, 1404, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1414, 1417, 1418, 1430, 1433, 1441, 1442, 1449, 1450, 1458, 1467, 1469, 1470, 1475, 1482, 1486, 1487, 1498, 1499, 1500, 2163, 2172, 2184, 2185, 2186, 2187, 2188, 2191, 2193, 2194, 2195, 2196, 2197, 2199, 2200, 2201, 2203, 2204, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2218, 2219, 2220, 2221, 2222, 2223, 2225, 2226, 2227, 2228, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2238, 2241, 2242, 2246, 2249, 2250, 2257, 2263, 2264, 2265, 2267, 2269, 2271, 2272, 2273, 2274, 2275, 2277, 2278, 2283, 2284, 2287, 2289, 2291, 2292, 2293, 2294, 2298, 2299, 2302, 2306, 2307, 2308, 2309], "input_arrai": 2199, "insec": 873, "insensit": [533, 857, 1469, 1486, 2202, 2221, 2277], "insert": [2, 34, 63, 214, 255, 258, 267, 420, 789, 799, 821, 889, 896, 1061, 1345, 1391, 1416, 1488, 1490, 2185, 2186, 2191, 2193, 2195, 2196, 2202, 2207, 2217, 2218, 2219, 2220, 2221, 2222, 2225, 2226, 2228, 2229, 2233, 2238, 2242, 2246, 2249, 2265, 2271, 2277, 2283, 2289, 2293, 2294, 2298, 2302, 2304, 2306, 2307], "insert_on_conflict_noth": [267, 896], "insert_on_conflict_upd": [267, 896], "insid": [2, 8, 13, 22, 25, 77, 89, 124, 146, 203, 251, 259, 375, 466, 601, 700, 720, 884, 890, 1031, 1054, 1118, 1280, 1469, 1486, 1498, 2186, 2193, 2194, 2196, 2197, 2199, 2201, 2227, 2241, 2246, 2249, 2261, 2263, 2264, 2265, 2271, 2307], "insight": 25, "inspect": [1031, 2199, 2205, 2207, 2261, 2278, 2283, 2289], "inspir": [2, 428, 818, 2186, 2191, 2199, 2225, 2227], "instal": [1, 2, 4, 8, 11, 36, 259, 262, 272, 337, 341, 890, 1119, 1345, 1368, 1391, 1436, 1473, 1477, 1487, 1488, 1490, 1491, 2184, 2186, 2193, 2195, 2199, 2201, 2202, 2203, 2205, 2212, 2213, 2217, 2220, 2222, 2226, 2228, 2231, 2232, 2233, 2235, 2238, 2240, 2241, 2242, 2246, 2248, 2249, 2250, 2257, 2265, 2271, 2277, 2283, 2289, 2290, 2294, 2302, 2304, 2308], "install_requir": 2240, "instanc": [5, 7, 10, 18, 37, 39, 43, 91, 127, 137, 157, 186, 188, 189, 195, 197, 203, 218, 228, 252, 354, 568, 703, 713, 732, 762, 764, 765, 770, 793, 831, 873, 885, 1031, 1035, 1037, 1038, 1048, 1097, 1107, 1108, 1110, 1118, 1122, 1141, 1144, 1154, 1173, 1188, 1230, 1249, 1338, 1339, 1340, 1341, 1342, 1345, 1387, 1391, 1458, 1463, 1469, 1470, 1486, 1488, 1490, 2167, 2171, 2179, 2183, 2185, 2186, 2188, 2195, 2196, 2197, 2199, 2200, 2202, 2204, 2208, 2211, 2216, 2217, 2218, 2223, 2225, 2226, 2228, 2229, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2255, 2261, 2265, 2277, 2283, 2290, 2296, 2302], "instant": 6, "instanti": [10, 49, 911, 1143, 1403, 1469, 1478, 1486, 2172, 2191, 2197, 2199, 2225, 2228, 2238, 2246, 2249, 2265, 2272, 2277, 2297, 2298], "instat": 2250, "instead": [2, 3, 10, 12, 16, 17, 18, 19, 24, 28, 29, 30, 31, 63, 77, 78, 82, 87, 91, 98, 107, 110, 125, 127, 134, 137, 144, 146, 157, 169, 181, 183, 184, 186, 188, 210, 213, 214, 218, 242, 246, 255, 259, 262, 263, 276, 282, 283, 303, 337, 391, 392, 393, 394, 395, 398, 399, 418, 421, 436, 486, 491, 540, 568, 586, 590, 593, 598, 621, 629, 633, 655, 681, 701, 703, 709, 713, 720, 724, 732, 759, 761, 762, 764, 779, 784, 788, 793, 817, 823, 827, 835, 850, 853, 859, 861, 867, 890, 893, 902, 908, 910, 911, 938, 1064, 1076, 1082, 1088, 1095, 1099, 1106, 1111, 1118, 1152, 1154, 1164, 1165, 1167, 1170, 1173, 1174, 1175, 1187, 1188, 1191, 1192, 1196, 1198, 1202, 1207, 1208, 1211, 1221, 1222, 1224, 1227, 1230, 1248, 1249, 1252, 1253, 1257, 1259, 1263, 1277, 1280, 1289, 1305, 1322, 1345, 1346, 1385, 1391, 1403, 1407, 1411, 1415, 1433, 1444, 1446, 1448, 1453, 1457, 1469, 1470, 1472, 1473, 1475, 1482, 1486, 1487, 1488, 1490, 1498, 1499, 1500, 1509, 1527, 1545, 1563, 1583, 1604, 1623, 1640, 1662, 1683, 1704, 1725, 1741, 1744, 1762, 1779, 1798, 1820, 1843, 1860, 1880, 1898, 1916, 1933, 1950, 1968, 1985, 2003, 2022, 2040, 2058, 2076, 2093, 2111, 2130, 2148, 2166, 2167, 2184, 2185, 2186, 2188, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2220, 2221, 2222, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2234, 2235, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2246, 2247, 2248, 2249, 2250, 2257, 2261, 2266, 2267, 2271, 2273, 2277, 2278, 2279, 2281, 2283, 2284, 2289, 2290, 2293, 2294, 2300, 2302, 2303, 2307, 2308, 2309], "institutionai": 2199, "instruct": [1, 2, 4, 5, 13, 14, 21, 22, 35, 255, 345, 1472, 1473, 2193, 2197, 2199, 2207, 2213], "insuffici": 2246, "int": [2, 3, 42, 44, 54, 63, 69, 74, 89, 99, 100, 101, 102, 108, 109, 111, 113, 114, 115, 118, 121, 122, 124, 125, 126, 129, 131, 132, 134, 135, 136, 137, 139, 140, 141, 144, 145, 146, 151, 155, 156, 159, 161, 163, 164, 165, 166, 168, 170, 171, 173, 174, 175, 176, 179, 182, 191, 192, 193, 194, 196, 197, 199, 200, 201, 202, 204, 206, 207, 208, 209, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 225, 230, 231, 232, 233, 235, 241, 242, 244, 245, 247, 248, 249, 251, 253, 255, 256, 257, 258, 265, 267, 269, 275, 276, 277, 278, 279, 283, 284, 310, 321, 334, 345, 352, 359, 360, 366, 370, 378, 381, 382, 383, 388, 401, 404, 406, 414, 417, 419, 420, 421, 423, 425, 426, 430, 432, 435, 436, 465, 466, 478, 482, 483, 485, 486, 487, 488, 489, 490, 491, 492, 499, 500, 501, 502, 503, 510, 512, 513, 514, 515, 516, 517, 518, 522, 524, 529, 530, 534, 535, 536, 540, 568, 576, 578, 583, 587, 588, 590, 597, 601, 622, 623, 624, 630, 631, 633, 635, 694, 696, 697, 700, 701, 702, 706, 707, 709, 710, 712, 713, 717, 720, 730, 731, 734, 735, 739, 741, 742, 743, 744, 745, 746, 747, 749, 753, 754, 757, 758, 760, 767, 768, 769, 771, 773, 774, 775, 777, 780, 781, 782, 783, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 804, 806, 807, 809, 811, 817, 822, 823, 824, 828, 829, 830, 831, 832, 833, 835, 846, 847, 850, 852, 856, 857, 858, 859, 860, 862, 864, 865, 866, 873, 874, 877, 878, 879, 880, 881, 882, 884, 886, 888, 889, 891, 895, 896, 897, 901, 902, 903, 904, 906, 908, 910, 912, 914, 916, 918, 921, 927, 930, 937, 945, 953, 963, 964, 965, 966, 967, 968, 972, 994, 995, 1023, 1025, 1040, 1052, 1053, 1060, 1061, 1063, 1064, 1065, 1079, 1081, 1084, 1085, 1086, 1087, 1093, 1095, 1097, 1103, 1104, 1105, 1110, 1112, 1115, 1116, 1118, 1141, 1142, 1145, 1153, 1155, 1156, 1158, 1165, 1166, 1167, 1169, 1172, 1173, 1174, 1175, 1177, 1178, 1179, 1180, 1181, 1183, 1189, 1190, 1191, 1193, 1194, 1195, 1196, 1198, 1199, 1200, 1201, 1202, 1203, 1205, 1212, 1213, 1215, 1222, 1223, 1224, 1226, 1229, 1230, 1236, 1237, 1238, 1239, 1240, 1242, 1243, 1244, 1250, 1251, 1252, 1254, 1255, 1256, 1257, 1259, 1260, 1261, 1262, 1263, 1264, 1267, 1272, 1274, 1275, 1276, 1280, 1281, 1283, 1284, 1286, 1290, 1292, 1294, 1295, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1306, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1343, 1344, 1345, 1354, 1387, 1388, 1391, 1393, 1394, 1396, 1397, 1398, 1403, 1404, 1406, 1414, 1416, 1419, 1431, 1432, 1434, 1443, 1447, 1452, 1455, 1457, 1460, 1467, 1469, 1470, 1472, 1473, 1474, 1475, 1476, 1480, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1489, 1490, 1497, 1498, 1499, 1506, 1524, 1542, 1560, 1578, 1598, 1620, 1637, 1657, 1677, 1699, 1720, 1741, 1758, 1776, 1793, 1815, 1839, 1857, 1876, 1894, 1912, 1930, 1947, 1964, 1982, 2000, 2018, 2036, 2054, 2090, 2108, 2127, 2145, 2167, 2185, 2186, 2188, 2191, 2193, 2195, 2197, 2199, 2202, 2205, 2206, 2207, 2208, 2209, 2214, 2216, 2217, 2218, 2219, 2221, 2222, 2224, 2225, 2227, 2228, 2230, 2231, 2232, 2238, 2241, 2246, 2265, 2271, 2283, 2289, 2292, 2293, 2294, 2298, 2302, 2307], "int16": [2, 9, 441, 2167, 2186, 2199, 2232, 2249, 2278, 2298, 2307], "int16dtyp": [442, 443, 444, 1027, 1028, 1029, 1030, 2167, 2194], "int32": [2, 9, 31, 82, 97, 266, 282, 286, 290, 292, 293, 294, 295, 299, 311, 312, 313, 315, 317, 319, 332, 333, 442, 593, 620, 637, 642, 644, 645, 646, 647, 649, 650, 654, 663, 664, 665, 666, 668, 669, 671, 674, 675, 688, 689, 737, 811, 946, 947, 949, 1034, 1095, 1118, 1124, 1142, 1469, 1470, 1482, 1483, 1486, 1487, 2167, 2184, 2186, 2188, 2199, 2206, 2216, 2222, 2225, 2229, 2232, 2235, 2238, 2246, 2249, 2279, 2283, 2298, 2299, 2307], "int32dtyp": [441, 443, 444, 1027, 1028, 1029, 1030, 1124, 2167, 2194, 2265], "int64": [2, 9, 10, 12, 15, 23, 24, 28, 32, 37, 39, 60, 63, 70, 71, 77, 82, 89, 92, 97, 98, 101, 110, 115, 120, 124, 125, 141, 142, 143, 144, 150, 151, 155, 156, 160, 163, 164, 168, 170, 180, 182, 202, 212, 213, 223, 224, 238, 240, 241, 245, 252, 256, 271, 273, 274, 277, 278, 281, 282, 284, 285, 286, 345, 354, 355, 358, 364, 367, 370, 372, 375, 377, 380, 385, 387, 389, 401, 404, 409, 411, 412, 414, 415, 420, 421, 422, 424, 427, 429, 432, 434, 435, 436, 437, 443, 457, 458, 459, 460, 461, 462, 463, 464, 468, 469, 473, 475, 476, 477, 483, 484, 490, 493, 542, 543, 544, 545, 546, 547, 548, 554, 556, 557, 558, 560, 564, 565, 566, 567, 568, 573, 574, 579, 580, 581, 582, 586, 589, 590, 593, 601, 603, 613, 616, 620, 621, 632, 633, 648, 690, 691, 700, 701, 709, 717, 719, 729, 730, 731, 735, 736, 737, 738, 741, 742, 746, 750, 751, 752, 754, 757, 758, 760, 772, 783, 785, 787, 788, 789, 798, 799, 801, 805, 807, 808, 816, 824, 830, 835, 858, 859, 875, 876, 877, 879, 888, 891, 894, 898, 899, 900, 903, 904, 906, 907, 908, 912, 913, 914, 917, 938, 942, 954, 1032, 1033, 1034, 1035, 1036, 1037, 1038, 1040, 1043, 1045, 1046, 1047, 1049, 1052, 1053, 1059, 1063, 1066, 1067, 1073, 1076, 1095, 1109, 1116, 1118, 1119, 1125, 1126, 1127, 1128, 1129, 1130, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1146, 1147, 1150, 1151, 1152, 1157, 1159, 1160, 1161, 1162, 1163, 1165, 1167, 1170, 1171, 1176, 1178, 1180, 1181, 1182, 1186, 1189, 1194, 1195, 1196, 1197, 1199, 1200, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1214, 1216, 1217, 1218, 1219, 1220, 1222, 1224, 1225, 1227, 1228, 1233, 1237, 1239, 1240, 1241, 1242, 1243, 1245, 1247, 1250, 1255, 1256, 1257, 1258, 1260, 1261, 1264, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1277, 1278, 1279, 1280, 1282, 1283, 1284, 1285, 1286, 1287, 1290, 1292, 1293, 1295, 1296, 1336, 1343, 1377, 1393, 1415, 1469, 1482, 1483, 1485, 1486, 1487, 1494, 1495, 1499, 2166, 2167, 2184, 2185, 2186, 2187, 2188, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2201, 2203, 2204, 2205, 2208, 2209, 2210, 2212, 2214, 2215, 2216, 2217, 2218, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2230, 2231, 2235, 2238, 2240, 2241, 2246, 2248, 2249, 2263, 2265, 2267, 2271, 2272, 2277, 2283, 2289, 2294, 2295, 2298, 2302, 2307], "int64_idx": 375, "int64_t": 2193, "int64col": 2199, "int64dtyp": [441, 442, 444, 1027, 1028, 1029, 1030, 1048, 1095, 1097, 1110, 2167, 2186, 2194, 2198, 2201, 2265, 2283, 2285], "int64index": [2218, 2220, 2222, 2225, 2226, 2229, 2230, 2231, 2232, 2235, 2241, 2246, 2249, 2265, 2271, 2277, 2283, 2298], "int8": [2, 9, 39, 42, 54, 63, 444, 609, 1095, 1097, 1110, 1499, 2167, 2186, 2188, 2197, 2198, 2199, 2232, 2246, 2249, 2278, 2298], "int8dtyp": [441, 442, 443, 1027, 1028, 1029, 1030, 1097, 1110, 2167, 2194], "int_": [2220, 2222, 2225, 2232], "int_arrai": 1124, "int_cat": 2188, "int_col": [144, 2265], "int_column": [1482, 2195], "int_valu": 144, "intact": 2166, "intc": 2300, "intcastingnanerror": 2298, "intck": 16, "integ": [3, 9, 10, 12, 15, 16, 19, 23, 24, 32, 42, 44, 54, 69, 83, 90, 97, 109, 129, 137, 138, 141, 142, 160, 171, 173, 191, 194, 199, 204, 206, 214, 215, 216, 217, 218, 219, 220, 221, 222, 240, 244, 249, 262, 267, 268, 269, 275, 285, 292, 294, 332, 354, 356, 361, 364, 376, 378, 380, 381, 382, 383, 387, 391, 392, 393, 394, 395, 398, 399, 419, 420, 435, 441, 442, 443, 444, 465, 466, 478, 489, 490, 491, 493, 497, 522, 524, 568, 573, 589, 594, 602, 620, 644, 646, 688, 699, 706, 713, 714, 717, 724, 738, 750, 767, 769, 786, 790, 793, 799, 816, 824, 846, 877, 882, 896, 913, 916, 918, 927, 930, 1027, 1028, 1029, 1030, 1036, 1051, 1060, 1061, 1076, 1078, 1095, 1096, 1097, 1110, 1115, 1123, 1124, 1141, 1142, 1173, 1183, 1193, 1202, 1230, 1244, 1254, 1263, 1343, 1359, 1388, 1389, 1394, 1398, 1403, 1404, 1433, 1436, 1447, 1467, 1469, 1470, 1475, 1482, 1483, 1484, 1486, 1487, 1493, 1494, 1496, 1498, 1499, 1506, 1524, 1542, 1560, 1741, 1773, 1793, 1815, 1854, 1857, 1891, 1909, 1927, 1979, 1982, 2000, 2033, 2036, 2054, 2087, 2108, 2127, 2145, 2164, 2166, 2184, 2186, 2188, 2191, 2195, 2196, 2197, 2199, 2201, 2204, 2205, 2207, 2208, 2209, 2210, 2212, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2227, 2228, 2229, 2231, 2234, 2235, 2236, 2238, 2239, 2241, 2243, 2248, 2249, 2253, 2261, 2265, 2266, 2267, 2274, 2275, 2276, 2277, 2280, 2283, 2284, 2285, 2287, 2289, 2290, 2295, 2297, 2298, 2299, 2301, 2302, 2307, 2308], "integer_arrai": 2265, "integer_data": 2246, "integerarrai": [590, 1032, 1033, 1037, 1038, 1040, 1045, 1046, 1047, 1052, 1053, 1059, 1063, 1066, 1067, 1118, 2167, 2186, 2198, 2246, 2271, 2274, 2277, 2289, 2294, 2302], "integerdtyp": [2289, 2294], "integerna": [590, 893, 905], "integr": [1, 4, 5, 11, 21, 34, 1423, 1657, 1677, 1699, 1720, 2185, 2186, 2191, 2193, 2196, 2199, 2207, 2218, 2222, 2224, 2225, 2232, 2235, 2246, 2253, 2307], "integrate_f": 2193, "integrate_f_numba": 2193, "integrate_f_plain": 2193, "integrate_f_typ": 2193, "intellig": [34, 2195, 2210, 2219], "intend": [1, 2, 12, 34, 227, 802, 1100, 1494, 2168, 2185, 2190, 2191, 2207, 2208, 2220, 2225, 2230, 2231, 2242, 2263], "intens": [44, 2199], "intent": [207, 209, 210, 781, 784, 2197, 2199, 2225], "intention": 2188, "interact": [0, 2, 5, 6, 13, 34, 1068, 1069, 1071, 1072, 1345, 1391, 1488, 1490, 2184, 2191, 2196, 2197, 2202, 2207, 2228, 2229, 2230, 2235, 2261, 2283], "interactiveshel": 2193, "intercalari": [303, 655], "intercept": [2186, 2227, 2230, 2259], "interchang": [66, 246, 916, 953, 2172, 2299, 2300, 2302, 2307, 2308], "interchange_object": [66, 1077], "interest": [1, 2, 3, 13, 23, 24, 25, 28, 29, 32, 34, 35, 789, 2186, 2193, 2197, 2199, 2207, 2210, 2212, 2217, 2219, 2307, 2308], "interest_r": 3, "interf": 2265, "interfac": [2, 10, 12, 13, 16, 17, 18, 19, 40, 77, 119, 695, 914, 1031, 1068, 1090, 2167, 2186, 2199, 2203, 2207, 2210, 2211, 2218, 2220, 2225, 2227, 2228, 2230, 2235, 2246, 2261, 2271, 2298, 2307], "interleav": 2199, "intermedi": [7, 2172, 2195, 2205, 2210, 2212, 2253, 2307], "intermix": 2186, "intern": [0, 7, 11, 22, 191, 194, 203, 268, 286, 364, 376, 430, 622, 624, 699, 767, 769, 873, 932, 938, 1031, 1044, 1123, 1124, 1140, 1148, 1149, 1203, 1207, 1208, 1213, 1215, 1264, 1280, 1345, 1361, 1364, 1388, 1391, 1422, 1423, 1433, 1469, 1486, 1488, 1490, 1493, 1494, 1495, 1496, 1499, 2186, 2188, 2193, 2194, 2195, 2197, 2202, 2207, 2210, 2213, 2216, 2217, 2219, 2220, 2230, 2232, 2235, 2238, 2246, 2249, 2253, 2261, 2263, 2265, 2267, 2271, 2274, 2277, 2280, 2289, 2293, 2298, 2307], "internal_cach": 10, "internet": 2, "interoper": [2167, 2186, 2201, 2203, 2302], "interp1d": [146, 720, 1280], "interp_": 2201, "interpol": [89, 124, 125, 169, 202, 601, 700, 701, 776, 1031, 1190, 1251, 1275, 1314, 1331, 1411, 1446, 1447, 1448, 2186, 2199, 2210, 2214, 2217, 2218, 2219, 2220, 2222, 2228, 2230, 2231, 2235, 2236, 2249, 2250, 2261, 2265, 2271, 2272, 2277, 2283, 2289, 2294, 2298, 2302, 2303, 2304, 2307], "interpret": [2, 3, 6, 13, 16, 17, 18, 19, 24, 31, 134, 160, 212, 256, 568, 709, 738, 750, 787, 862, 866, 888, 1463, 1469, 1470, 1486, 1487, 2185, 2188, 2197, 2199, 2201, 2202, 2206, 2212, 2214, 2216, 2217, 2218, 2220, 2221, 2222, 2226, 2228, 2232, 2235, 2236, 2238, 2241, 2246, 2249, 2265, 2283, 2294, 2298, 2302], "interrog": [168, 407, 745], "interrupt": 34, "intersect": [19, 30, 74, 153, 169, 583, 1146, 1421, 1446, 1448, 1512, 1530, 1548, 1566, 1586, 1607, 1626, 1643, 1665, 1686, 1707, 1728, 1747, 1765, 1782, 1801, 1823, 1846, 1863, 1883, 1901, 1919, 1936, 1953, 1971, 1988, 2006, 2025, 2043, 2061, 2079, 2096, 2114, 2133, 2151, 2186, 2197, 2200, 2207, 2221, 2222, 2232, 2233, 2238, 2246, 2247, 2249, 2253, 2254, 2257, 2271, 2273, 2276, 2277, 2283, 2293, 2294, 2298], "intersphinx": 2241, "interv": [10, 15, 16, 91, 146, 213, 262, 345, 354, 391, 392, 393, 394, 395, 398, 399, 432, 437, 457, 458, 459, 460, 461, 462, 463, 464, 466, 467, 468, 469, 473, 475, 476, 477, 511, 576, 590, 720, 788, 891, 893, 905, 1036, 1065, 1090, 1099, 1109, 1118, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1192, 1253, 1280, 1343, 1393, 1458, 1467, 1472, 1497, 1741, 2172, 2186, 2199, 2204, 2210, 2211, 2212, 2214, 2225, 2235, 2238, 2239, 2241, 2248, 2261, 2264, 2266, 2273], "interv_arr": [460, 468, 1036, 1126, 1132, 1133, 1134, 1135, 1137], "interv_idx": [460, 468, 1126, 1132], "interval_rang": [437, 459, 460, 462, 463, 464, 468, 469, 476, 477, 1125, 1126, 1128, 1129, 1130, 1132, 1139, 1344, 2185, 2238, 2241, 2242, 2246, 2302, 2307], "intervalarrai": [2, 437, 449, 455, 460, 461, 467, 468, 473, 475, 476, 477, 590, 1036, 1118, 2167, 2186, 2246, 2249, 2271, 2277, 2289, 2294, 2307], "intervaldtyp": [395, 1099, 2167, 2185, 2186, 2232, 2241, 2246, 2248, 2265, 2283, 2289, 2294, 2298, 2302, 2307], "intervalindex": [354, 395, 437, 445, 449, 455, 1099, 1125, 1126, 1128, 1129, 1130, 1131, 1132, 1139, 1343, 1344, 1393, 2172, 2204, 2238, 2239, 2241, 2242, 2246, 2248, 2250, 2251, 2265, 2271, 2273, 2277, 2283, 2289, 2290, 2293, 2298, 2302, 2303, 2307], "intervaltre": [2246, 2248, 2294], "interven": [845, 1469, 1486, 2199], "intindex": [1142, 2206, 2231, 2232], "intnx": 16, "intp": [300, 301, 361, 363, 378, 379, 380, 417, 465, 489, 502, 589, 1044, 2197, 2232, 2277], "intradai": [2210, 2264], "intrins": [2191, 2228], "intro": [35, 2184, 2196], "introduc": [2, 13, 14, 24, 31, 32, 230, 342, 804, 1063, 1196, 1257, 1275, 1355, 1391, 1488, 1490, 2186, 2190, 2191, 2192, 2194, 2196, 2197, 2199, 2216, 2217, 2220, 2222, 2225, 2226, 2227, 2228, 2230, 2232, 2239, 2240, 2241, 2246, 2249, 2250, 2261, 2265, 2275, 2277, 2283, 2289, 2295, 2302, 2304, 2308], "introduct": [2, 4, 15, 21, 23, 26, 30, 35, 36, 2184, 2186, 2188, 2195, 2211, 2218, 2222, 2232, 2246, 2277], "introductori": 35, "introspect": [144, 168, 407, 745, 2194, 2229, 2232, 2265, 2295], "intuit": [3, 16, 17, 18, 19, 34, 212, 440, 787, 2184, 2193, 2197, 2199, 2232], "inv": 2220, "invalid": [2, 44, 82, 152, 593, 1053, 1360, 1361, 1362, 1363, 1498, 1499, 1500, 1502, 2186, 2190, 2193, 2194, 2197, 2199, 2211, 2217, 2218, 2220, 2221, 2223, 2224, 2225, 2226, 2227, 2228, 2230, 2231, 2232, 2234, 2235, 2236, 2239, 2241, 2242, 2243, 2246, 2248, 2249, 2250, 2265, 2269, 2271, 2273, 2277, 2280, 2283, 2289, 2291, 2292, 2295, 2296, 2298, 2302, 2307], "invalidcolumnnam": 2294, "invalidcolumnord": 2228, "invalidcomparison": 2298, "invalidindexerror": [2185, 2191, 2194, 2249, 2271, 2274, 2277, 2283, 2290, 2299, 2307], "invalidoper": 2298, "invalidpagetoken": 2228, "invalidvers": 2298, "invers": [16, 19, 148, 149, 177, 178, 240, 279, 331, 384, 400, 402, 413, 447, 448, 453, 454, 686, 725, 726, 755, 756, 816, 1441, 1442, 1444, 1449, 1450, 2184, 2197, 2204, 2215, 2217, 2220, 2246, 2264], "invert": [102, 724, 1158, 1389, 2202, 2207, 2210, 2212, 2228], "invert_xaxi": 2217, "investig": [11, 2193, 2289], "invis": [137, 186, 762, 1173, 1188, 1249, 2241], "invit": [0, 13, 14], "invok": [5, 273, 575, 581, 582, 586, 900, 1451, 2194, 2199, 2238, 2250, 2302], "involv": [10, 134, 573, 709, 1387, 2172, 2184, 2186, 2191, 2193, 2195, 2198, 2199, 2201, 2204, 2218, 2221, 2225, 2235, 2243, 2250, 2289, 2302, 2304], "io": [2, 6, 13, 16, 17, 18, 19, 34, 144, 243, 253, 256, 258, 259, 262, 263, 268, 272, 337, 341, 346, 349, 886, 888, 889, 890, 1031, 1091, 1345, 1349, 1356, 1373, 1374, 1391, 1455, 1461, 1469, 1470, 1472, 1475, 1476, 1478, 1485, 1486, 1487, 1488, 1490, 2172, 2184, 2188, 2196, 2201, 2202, 2203, 2205, 2207, 2213, 2214, 2215, 2216, 2218, 2219, 2220, 2221, 2223, 2224, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2234, 2242, 2263, 2264, 2277, 2279, 2283, 2289, 2294, 2298, 2302, 2307], "ioarg": [16, 17, 18, 19, 2199, 2235], "ioerror": [2217, 2222, 2228, 2232, 2246], "iohandl": [16, 17, 18, 19, 2199, 2203, 2235, 2298], "iolib": [2186, 2227], "ip": [10, 2241], "ipaddress": 10, "iparrai": 2241, "ipc": 2199, "ipi": 2202, "ipv4address": 10, "ipv6": [10, 1031], "ipython": [4, 26, 257, 1069, 1071, 1072, 1345, 1391, 1488, 1490, 2184, 2186, 2193, 2194, 2196, 2197, 2199, 2203, 2207, 2219, 2222, 2227, 2230, 2232, 2235, 2236, 2242, 2246, 2247, 2251, 2257, 2258, 2265], "ipythondir": 2202, "ipywidget": 2207, "iqr": [91, 190, 766, 1458], "iri": [1455, 1461, 2191, 2211, 2225], "irow": [2216, 2228, 2235, 2257], "irregular": [15, 2210, 2234, 2235, 2261, 2275, 2277], "irrelev": [0, 2298], "irrespect": [2222, 2224], "is_all_d": [2228, 2235, 2277, 2298], "is_anchor": [2265, 2307], "is_any_int_dtyp": [1097, 1110, 2235, 2246], "is_any_real_numeric_dtyp": [2232, 2298], "is_array_lik": 2232, "is_bool": 2232, "is_bool_dtyp": [391, 1076, 2185, 2232, 2246, 2277, 2290, 2298, 2302], "is_bool_index": [2185, 2197], "is_boolean": [392, 393, 394, 395, 398, 399, 2298], "is_categor": [391, 393, 394, 395, 398, 399, 2271, 2298], "is_categorical_dtyp": [2232, 2238, 2271, 2298, 2302], "is_complex": 2232, "is_complex_dtyp": 2232, "is_copi": [2220, 2241, 2265, 2298], "is_csi": 2199, "is_datetime64_any_dtyp": [2232, 2235], "is_datetime64_dtyp": [2232, 2241], "is_datetime64_ns_dtyp": [2232, 2235], "is_datetime64tz": 2246, "is_datetime64tz_dtyp": [2232, 2302], "is_datetimelik": [2283, 2298], "is_datetimetz": [2246, 2265], "is_dict_lik": [2192, 2232], "is_dinn": [16, 17, 18, 19], "is_dtype_equ": [2232, 2277, 2298], "is_empti": [451, 2249], "is_extension_array_dtyp": [2232, 2265, 2298, 2302], "is_extension_typ": [2265, 2298], "is_file_lik": 2232, "is_float": [391, 392, 394, 395, 398, 399, 2232, 2298], "is_float_dtyp": [393, 2232, 2298], "is_floating_dtyp": [2235, 2246], "is_fram": 2212, "is_hash": 2232, "is_int64_dtyp": [2232, 2302], "is_integ": [391, 392, 393, 395, 398, 399, 1103, 2185, 2191, 2194, 2197, 2232, 2298], "is_integer_dtyp": [394, 2232, 2298], "is_interv": [391, 392, 393, 394, 398, 399, 2232, 2298, 2307], "is_interval_dtyp": [2232, 2298, 2302], "is_it": 1100, "is_iter": [2185, 2191, 2194, 2232], "is_jit": 2212, "is_leap_year": [2210, 2232, 2241], "is_lexsort": [2235, 2283, 2294, 2298], "is_lexsorted_for_tupl": 2265, "is_list_lik": [2232, 2246, 2286, 2289], "is_list_like_index": 2197, "is_loc": 1383, "is_mix": [2271, 2298], "is_monoton": [2232, 2235, 2242, 2249, 2265, 2271, 2283, 2294, 2298], "is_monotonic_decreas": [397, 2185, 2223, 2232, 2238, 2241, 2242, 2249, 2307], "is_monotonic_increas": [396, 2185, 2197, 2223, 2232, 2241, 2242, 2249, 2275, 2283, 2294, 2298, 2307], "is_month_end": [305, 657, 977, 2210, 2220, 2283, 2302], "is_month_start": [304, 656, 976, 2210, 2220, 2235, 2283, 2302], "is_named_tupl": 2232, "is_non_overlapping_monoton": 2238, "is_norm": 2232, "is_np_dtyp": 2298, "is_null_slic": 2185, "is_numb": [2, 2232], "is_numer": [391, 392, 393, 394, 395, 399, 2298], "is_numeric_dtyp": [398, 2232, 2298], "is_object": [391, 392, 393, 394, 395, 398, 2298], "is_object_dtyp": [399, 2232, 2298], "is_on_offset": [1741, 2265], "is_open": [2199, 2218], "is_ord": 9, "is_overlap": [2246, 2298], "is_pandas_object": 2298, "is_period": [1502, 2246, 2265, 2307], "is_period_dtyp": [2232, 2246, 2302], "is_popul": [2294, 2298], "is_quarter_end": [307, 659, 979, 2210, 2220, 2283, 2302], "is_quarter_start": [306, 658, 978, 2210, 2220, 2283, 2302], "is_r": 2232, "is_re_compil": 2232, "is_s3": 2199, "is_scalar": [2185, 2197, 2232, 2241, 2246, 2299], "is_sequ": [2235, 2246], "is_signed_integer_dtyp": [2232, 2298], "is_spars": [2232, 2302], "is_string_dtyp": [2232, 2235, 2271, 2298, 2307], "is_string_like_dtyp": 2235, "is_subperiod": 2222, "is_superperiod": 2222, "is_text": [16, 17, 18, 19, 2199, 2235], "is_time_seri": [2218, 2228, 2235], "is_timedelta64_dtyp": 2232, "is_timedelta64_ns_dtyp": [2232, 2235], "is_type_compat": [2289, 2298], "is_uniqu": [384, 2185, 2192, 2197, 2230, 2241, 2242, 2246, 2248, 2249, 2261, 2307], "is_unsigned_integer_dtyp": [2232, 2298], "is_year_end": [309, 661, 981, 2210, 2220, 2283, 2302], "is_year_start": [308, 660, 980, 2210, 2220, 2283, 2302], "isalnum": [837, 838, 839, 840, 841, 842, 843, 844, 2208, 2225, 2265], "isalpha": [836, 838, 839, 840, 841, 842, 843, 844, 2199, 2208, 2225], "isanchor": [2265, 2298], "isdecim": [836, 837, 839, 840, 841, 842, 843, 844, 2208, 2225], "isdigit": [836, 837, 838, 840, 841, 842, 843, 844, 2208, 2225], "isetitem": [2294, 2298, 2302], "isfinit": 2289, "isin": [15, 25, 439, 2184, 2194, 2196, 2207, 2218, 2220, 2222, 2228, 2231, 2235, 2236, 2237, 2238, 2241, 2246, 2249, 2255, 2257, 2271, 2274, 2275, 2277, 2283, 2284, 2285, 2289, 2294, 2295, 2297, 2298, 2299, 2302, 2305, 2307], "isinf": 2289, "isinst": [2, 392, 395, 1082, 1088, 1094, 1099, 1106, 1111, 1403, 1404, 2184, 2185, 2186, 2191, 2193, 2194, 2197, 2199, 2201, 2203, 2205, 2208, 2218, 2232, 2261, 2283, 2289, 2294, 2298, 2302, 2307], "isleapyear": [2232, 2241], "islow": [836, 837, 838, 839, 841, 842, 843, 844, 2208, 2225], "ismethod": 2265, "isn": [5, 13, 17, 77, 133, 708, 1348, 2186, 2190, 2192, 2193, 2197, 2207, 2208, 2210, 2220, 2221, 2232, 2241, 2246, 2250, 2265, 2289], "isna": [10, 16, 18, 19, 101, 114, 149, 177, 178, 413, 636, 726, 755, 756, 1031, 1042, 1182, 1241, 1415, 1442, 1449, 1450, 2184, 2186, 2188, 2194, 2201, 2203, 2238, 2241, 2246, 2250, 2269, 2271, 2283, 2289, 2298, 2302], "isnan": [2221, 2289], "isnul": [148, 725, 2214, 2218, 2219, 2220, 2221, 2225, 2228, 2229, 2232, 2235, 2238, 2250, 2253, 2298], "isnumer": [836, 837, 838, 839, 840, 842, 843, 844, 2208, 2225], "iso": [258, 662, 889, 923, 982, 983, 2199, 2209, 2210, 2223, 2230, 2235, 2241, 2246, 2249, 2265, 2271, 2277, 2283, 2294, 2298], "iso8601": [258, 889, 1436, 1469, 1470, 1486, 1498, 2199, 2210, 2215, 2228, 2241, 2262, 2263, 2298, 2307], "iso_8601": 923, "isocalendar": [2210, 2271, 2273, 2298, 2302], "isocalendard": 982, "isoformat": [2209, 2230, 2235, 2289], "isol": [8, 11], "isort": 2, "isoweekdai": 2228, "israel": [2199, 2294], "isshin": 35, "isspac": [836, 837, 838, 839, 840, 841, 843, 844, 2208, 2225], "issu": [2, 4, 5, 6, 11, 14, 22, 34, 36, 256, 337, 434, 888, 1009, 1069, 1071, 1072, 1354, 1469, 1486, 1487, 1498, 2185, 2186, 2193, 2196, 2197, 2199, 2207, 2211, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2222, 2223, 2225, 2228, 2229, 2230, 2231, 2232, 2235, 2236, 2237, 2238, 2239, 2241, 2244, 2246, 2248, 2250, 2260, 2263, 2264, 2265, 2271, 2272, 2277, 2289, 2294, 2298, 2304, 2309, 2310], "issue_numb": 2, "istitl": [836, 837, 838, 839, 840, 841, 842, 844, 2208, 2225], "isupp": [836, 837, 838, 839, 840, 841, 842, 843, 2208, 2225], "ital": [3, 1433, 2207], "itali": [176, 179, 754, 757, 1242, 1243], "italian": [182, 760, 2199], "item": [2, 3, 10, 13, 18, 22, 37, 41, 42, 44, 49, 53, 54, 60, 61, 62, 81, 89, 90, 107, 117, 124, 125, 126, 133, 145, 151, 152, 160, 168, 176, 179, 186, 198, 223, 252, 366, 377, 380, 388, 601, 602, 608, 613, 614, 615, 629, 693, 700, 701, 702, 708, 738, 762, 772, 798, 829, 845, 1053, 1159, 1164, 1167, 1188, 1194, 1216, 1221, 1224, 1249, 1255, 1345, 1387, 1391, 1394, 1402, 1420, 1469, 1486, 1488, 1490, 2184, 2188, 2190, 2194, 2197, 2199, 2202, 2207, 2208, 2214, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2225, 2226, 2228, 2230, 2231, 2235, 2239, 2241, 2246, 2249, 2257, 2265, 2269, 2271, 2273, 2277, 2283, 2289, 2294, 2298, 2302, 2304], "item1": [2214, 2218], "item2": [2214, 2218], "item_": [70, 579], "item_0": [70, 579], "item_1": [70, 579], "item_2": [70, 579], "item_3": [70, 579], "item_from_zerodim": [2186, 2197], "itema": [2216, 2219, 2222, 2235, 2241], "itemb": [2216, 2219, 2222, 2235, 2241], "itemc": [2216, 2219, 2235, 2241], "itemd": 2222, "items": [2199, 2228, 2241, 2265], "iter": [3, 16, 17, 18, 19, 27, 34, 63, 67, 103, 104, 105, 106, 131, 134, 147, 150, 151, 152, 172, 183, 186, 228, 230, 352, 417, 478, 485, 486, 487, 488, 573, 576, 625, 626, 627, 628, 709, 728, 761, 762, 804, 1091, 1100, 1147, 1182, 1187, 1188, 1206, 1241, 1248, 1249, 1268, 1289, 1349, 1469, 1472, 1474, 1475, 1476, 1480, 1482, 1483, 1484, 1485, 1486, 2172, 2184, 2185, 2191, 2194, 2196, 2200, 2203, 2208, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2228, 2230, 2232, 2235, 2237, 2241, 2242, 2243, 2246, 2249, 2250, 2254, 2255, 2257, 2258, 2265, 2267, 2271, 2275, 2276, 2277, 2283, 2286, 2287, 2294, 2298, 2302, 2307], "iteritem": [2218, 2220, 2235, 2294, 2298], "iterkv": [2218, 2235], "iterpars": [1487, 2199, 2298], "iterrow": [3, 150, 152, 728, 2232, 2241, 2257, 2294], "itertool": [1154, 2195, 2210], "itertupl": [3, 150, 151, 2217, 2229, 2246, 2258, 2265], "itk": 2241, "itr": 1485, "its": [2, 3, 6, 7, 10, 12, 13, 15, 16, 17, 19, 34, 39, 63, 121, 126, 144, 153, 160, 183, 191, 194, 207, 208, 265, 274, 280, 353, 363, 378, 417, 423, 441, 442, 443, 444, 445, 465, 489, 529, 597, 632, 696, 702, 738, 750, 761, 767, 769, 781, 782, 895, 923, 1027, 1028, 1029, 1030, 1035, 1045, 1122, 1123, 1124, 1140, 1144, 1150, 1151, 1152, 1187, 1209, 1210, 1211, 1248, 1289, 1291, 1342, 1345, 1391, 1394, 1424, 1433, 1438, 1459, 1478, 1488, 1490, 1657, 1677, 1699, 1720, 1741, 2184, 2185, 2186, 2188, 2190, 2191, 2195, 2197, 2198, 2199, 2202, 2205, 2207, 2208, 2210, 2212, 2218, 2220, 2221, 2222, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2239, 2241, 2246, 2249, 2254, 2264, 2265, 2271, 2275, 2276, 2277, 2283, 2289, 2293, 2294, 2298, 2302, 2304], "itself": [2, 4, 10, 12, 13, 29, 63, 203, 353, 427, 510, 853, 861, 866, 972, 1035, 1394, 1406, 1415, 1475, 1494, 2186, 2188, 2190, 2195, 2197, 2199, 2206, 2207, 2208, 2210, 2211, 2214, 2220, 2226, 2227, 2230, 2235, 2241, 2246, 2277, 2289, 2307], "itshap": 1433, "iu": 2298, "iv": [445, 447, 448, 449, 452, 453, 454, 467, 1131], "ix": [1396, 1414, 2199, 2216, 2217, 2218, 2219, 2221, 2223, 2225, 2226, 2229, 2230, 2241, 2246, 2249, 2250, 2253, 2257, 2259, 2263, 2264, 2265, 2294], "ix1": 1433, "ix2": 1433, "ix3": [1433, 2211], "j": [13, 25, 202, 212, 247, 276, 503, 532, 776, 787, 880, 902, 1314, 1331, 1440, 2166, 2188, 2197, 2199, 2204, 2217, 2218, 2228, 2231, 2257, 2294], "jack": [2208, 2226], "jacqu": 32, "jan": [532, 898, 959, 1344, 2199, 2210, 2222, 2228, 2307], "jancauska": 2261, "jane": [16, 17, 19, 2249], "janeiro": [314, 667], "janschulz": 2218, "januari": [247, 313, 314, 541, 557, 666, 667, 880, 1006, 1011, 1498, 2199, 2209, 2210, 2213, 2220, 2241, 2242, 2243, 2245, 2247, 2277, 2298], "jarqu": [2186, 2227], "javascript": 2199, "jb": [2186, 2227], "jbrockmendel": [2247, 2248], "jean": 2249, "jeff": [2215, 2248], "jeremi": [2247, 2248], "jersei": 2199, "jess": [2208, 2226], "jet": 2217, "jetbrain": 5, "jill": [2208, 2226], "jim": [1375, 1400, 2185, 2223, 2224], "jinja": [1405, 2207], "jinja2": [22, 259, 890, 1394, 1401, 1412, 1432, 2207, 2289, 2294, 2298, 2302], "jit": [22, 77, 1148, 1149, 1178, 1179, 1181, 1199, 1200, 1203, 1205, 1207, 1208, 1237, 1238, 1240, 1260, 1261, 1264, 1267, 1300, 1302, 1305, 1310, 1311, 1312, 1313, 1318, 1319, 1320, 1322, 1327, 1328, 1329, 1330, 1335, 1336, 1337, 2196, 2212, 2294, 2307], "jit_user_funct": 2212, "jite": [1148, 1149, 1203, 1207, 1208, 1264, 2195, 2212], "jk": 2225, "job": [2, 4, 13, 255, 1473, 2276], "jobcomplet": 2225, "joe": [1375, 2185, 2195, 2199, 2217, 2220, 2223, 2224, 2249, 2260], "johan": [25, 2248], "john": [15, 16, 17, 19, 25, 32, 101, 281, 1443, 2199, 2204], "johnston": 32, "join": [0, 1, 3, 4, 13, 16, 17, 19, 20, 21, 34, 74, 80, 169, 280, 362, 583, 592, 821, 862, 866, 1146, 1365, 1446, 1447, 1448, 1469, 1486, 2172, 2186, 2196, 2199, 2204, 2208, 2217, 2218, 2220, 2222, 2225, 2226, 2228, 2229, 2231, 2237, 2238, 2248, 2249, 2250, 2253, 2254, 2255, 2257, 2261, 2265, 2267, 2271, 2277, 2283, 2288, 2289, 2290, 2294, 2296, 2298, 2300, 2302, 2304, 2308], "join_ax": [2249, 2265], "join_index": 404, "joker": [148, 149, 177, 178, 725, 726, 755, 756], "joli": [1375, 2185, 2224], "jone": [2199, 2294], "jori": [13, 2247, 2248], "jorurn": 2199, "josefa": 32, "joseph": 25, "josh": 2248, "journal": 2199, "jp": 2195, "jpg": 866, "jr": 2289, "json": [2, 5, 8, 9, 13, 21, 24, 252, 258, 272, 889, 1443, 1476, 1487, 1491, 2172, 2196, 2207, 2217, 2218, 2219, 2223, 2226, 2229, 2232, 2235, 2239, 2242, 2246, 2248, 2257, 2265, 2271, 2289, 2294, 2298, 2302], "json_norm": [1476, 2199, 2218, 2232, 2235, 2239, 2241, 2242, 2243, 2246, 2249, 2265, 2267, 2271, 2283, 2289, 2298, 2302], "json_read": 2199, "jsonfil": 1476, "jsonl": 2199, "jsonread": [1476, 2199], "jtratner": 2218, "judg": 15, "judgement": 14, "jul": [532, 1720, 2210], "juli": [586, 2199, 2210, 2213, 2289], "julia": 2201, "julian": [1006, 1498, 2220], "jump": [214, 2289], "jun": 2210, "june": [586, 2210, 2213, 2246], "juneteenth": 2289, "juoza": 32, "jupyt": [26, 35, 1345, 1391, 1394, 1473, 1488, 1490, 2184, 2196, 2199, 2202, 2207, 2211, 2229, 2230, 2232, 2235, 2241, 2283], "jupyternotebook": 2298, "just": [0, 1, 2, 3, 4, 5, 6, 13, 16, 17, 18, 19, 22, 23, 25, 28, 29, 30, 32, 34, 77, 84, 88, 141, 167, 240, 249, 258, 267, 476, 595, 600, 717, 789, 816, 828, 865, 882, 889, 896, 905, 1031, 1034, 1035, 1064, 1139, 1202, 1263, 1305, 1322, 1343, 1406, 1432, 1445, 1462, 1470, 1476, 1492, 2166, 2186, 2191, 2192, 2193, 2195, 2197, 2199, 2203, 2204, 2205, 2207, 2208, 2210, 2211, 2216, 2222, 2225, 2230, 2231, 2235, 2239, 2241, 2246, 2249, 2250, 2261, 2265, 2277, 2283, 2298], "justif": [1345, 1391, 1488, 1490, 2202], "justifi": [257, 269, 2199, 2238, 2257], "justin": 2248, "jy": [1396, 1414], "k": [2, 9, 276, 698, 902, 1059, 1390, 1394, 1440, 2188, 2194, 2197, 2199, 2200, 2202, 2204, 2207, 2210, 2211, 2228, 2230, 2257, 2261], "k0": [153, 2200, 2241, 2246], "k1": [153, 2200, 2241, 2246], "k2": [153, 2200, 2241, 2246], "k3": [153, 2200], "k4": [153, 2200], "k5": 153, "kaa": 864, "kahan": [2212, 2277, 2283], "karl": 32, "karlijn": 35, "kasich": [1443, 2199], "kb": [24, 2191, 2194, 2222, 2229], "kde": [26, 186, 191, 762, 767, 1188, 1249, 1465, 2211, 2217, 2218, 2222, 2228, 2234, 2241, 2261], "keep": [1, 2, 3, 5, 6, 7, 8, 96, 112, 114, 116, 126, 163, 176, 179, 205, 280, 284, 331, 369, 373, 619, 634, 686, 692, 702, 740, 741, 754, 757, 778, 912, 1041, 1049, 1191, 1242, 1243, 1252, 1469, 1486, 1498, 2185, 2187, 2190, 2194, 2197, 2199, 2200, 2216, 2218, 2220, 2222, 2223, 2228, 2230, 2232, 2238, 2241, 2246, 2265, 2271, 2278, 2283, 2289, 2294, 2302, 2306, 2307], "keep_date_col": [16, 17, 18, 19, 1469, 1486, 2199, 2203, 2232, 2235, 2289, 2298, 2307], "keep_default_d": [1476, 2199], "keep_default_na": [16, 17, 18, 19, 1469, 1470, 1475, 1486, 2199, 2203, 2218, 2232, 2235, 2241, 2263, 2298], "keep_equ": [96, 619, 2200], "keep_link": 2307, "keep_shap": [96, 619, 2200], "keep_tz": [2246, 2265, 2298], "keep_vba": 341, "keepdim": [1041, 2224, 2246, 2302], "kei": [1, 3, 9, 10, 13, 16, 17, 18, 19, 23, 27, 30, 36, 60, 65, 74, 130, 133, 134, 147, 153, 160, 169, 185, 203, 209, 211, 212, 213, 219, 228, 233, 234, 251, 252, 253, 256, 257, 258, 259, 260, 263, 265, 267, 268, 269, 272, 280, 285, 328, 335, 341, 345, 346, 347, 351, 352, 362, 382, 404, 425, 427, 433, 466, 491, 492, 499, 509, 540, 573, 583, 613, 705, 708, 709, 735, 738, 740, 783, 785, 787, 788, 807, 808, 833, 884, 885, 886, 888, 889, 890, 892, 895, 896, 913, 952, 1039, 1076, 1146, 1148, 1149, 1154, 1166, 1167, 1178, 1179, 1181, 1182, 1190, 1192, 1199, 1200, 1203, 1205, 1207, 1208, 1223, 1237, 1238, 1240, 1241, 1251, 1253, 1260, 1261, 1264, 1267, 1300, 1302, 1305, 1310, 1311, 1312, 1313, 1318, 1319, 1320, 1322, 1327, 1328, 1329, 1330, 1335, 1336, 1337, 1345, 1351, 1362, 1365, 1369, 1384, 1387, 1391, 1395, 1397, 1398, 1400, 1403, 1404, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1416, 1418, 1421, 1422, 1423, 1430, 1431, 1432, 1433, 1434, 1435, 1436, 1443, 1444, 1446, 1447, 1448, 1454, 1469, 1470, 1471, 1474, 1475, 1476, 1478, 1479, 1480, 1485, 1486, 1487, 1488, 1490, 1498, 2164, 2165, 2184, 2185, 2186, 2191, 2192, 2193, 2194, 2195, 2197, 2202, 2204, 2207, 2211, 2212, 2214, 2215, 2216, 2218, 2220, 2221, 2222, 2224, 2225, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2235, 2238, 2239, 2241, 2242, 2243, 2246, 2247, 2249, 2254, 2255, 2257, 2262, 2265, 2274, 2277, 2281, 2286, 2287, 2288, 2289, 2293, 2294, 2295, 2298, 2299, 2300, 2302, 2307], "kendal": [99, 100, 622, 1155, 1156, 1213, 2229, 2246, 2248, 2256, 2283, 2286], "kept": [96, 167, 176, 179, 481, 619, 636, 754, 757, 1242, 1243, 1445, 2197, 2204, 2220, 2232, 2241, 2302], "kernel": [186, 191, 194, 762, 767, 769, 1188, 1249, 1465, 2241, 2261, 2277], "key1": [2200, 2241], "key1_i": 2200, "key1_x": 2200, "key2": [2200, 2241], "key2_i": 2200, "key2_x": 2200, "key_a": 2204, "key_b": 2204, "key_c": 2204, "key_cal": 153, "key_is_scalar": [2185, 2191, 2194], "key_oth": 153, "key_value_metadata": 9, "keyerror": [83, 111, 160, 198, 209, 368, 383, 425, 594, 633, 738, 772, 783, 1370, 1384, 1443, 2185, 2191, 2194, 2197, 2199, 2210, 2216, 2218, 2220, 2222, 2223, 2224, 2225, 2230, 2231, 2232, 2234, 2235, 2237, 2238, 2241, 2243, 2246, 2249, 2250, 2257, 2265, 2275, 2277, 2278, 2280, 2283, 2284, 2289, 2294, 2298, 2299, 2302, 2308], "keysview": 2232, "keyvalu": 9, "keyword": [2, 3, 16, 17, 18, 19, 72, 73, 74, 75, 76, 77, 78, 81, 82, 91, 92, 102, 103, 104, 105, 106, 120, 137, 143, 146, 153, 155, 156, 162, 164, 165, 166, 169, 170, 182, 183, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 200, 201, 203, 207, 208, 209, 210, 213, 218, 219, 226, 227, 232, 245, 250, 253, 254, 262, 264, 270, 273, 274, 276, 277, 278, 337, 341, 345, 359, 360, 404, 406, 408, 581, 582, 583, 584, 585, 586, 587, 588, 593, 616, 625, 626, 627, 628, 715, 716, 719, 720, 730, 731, 742, 743, 744, 746, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 774, 775, 781, 782, 783, 784, 788, 793, 794, 801, 802, 806, 821, 862, 866, 873, 879, 880, 883, 886, 893, 894, 898, 900, 902, 903, 904, 953, 1032, 1040, 1041, 1051, 1052, 1146, 1148, 1149, 1152, 1154, 1158, 1165, 1173, 1174, 1175, 1187, 1188, 1191, 1193, 1196, 1198, 1202, 1203, 1207, 1208, 1211, 1222, 1231, 1232, 1248, 1249, 1252, 1254, 1257, 1259, 1263, 1264, 1269, 1270, 1280, 1289, 1304, 1305, 1321, 1322, 1338, 1339, 1340, 1341, 1415, 1431, 1432, 1446, 1458, 1460, 1461, 1465, 1466, 1470, 1472, 1474, 1477, 1478, 1482, 1483, 1484, 1500, 1741, 2186, 2193, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2207, 2208, 2209, 2210, 2211, 2212, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2236, 2240, 2242, 2246, 2249, 2259, 2265, 2267, 2271, 2273, 2277, 2283, 2289, 2290, 2294, 2295, 2298, 2300, 2302, 2307], "kg": 241, "khash": 2259, "kid": 274, "kill": 2291, "kind": [3, 9, 13, 16, 17, 18, 19, 21, 24, 31, 33, 34, 91, 186, 197, 213, 224, 233, 234, 350, 418, 421, 589, 762, 788, 807, 808, 1044, 1141, 1142, 1188, 1192, 1249, 1253, 1458, 1502, 1506, 1524, 1542, 1560, 1620, 1637, 1699, 1720, 1741, 1758, 1776, 1793, 1815, 1839, 1876, 1894, 1912, 1930, 1947, 1964, 1982, 2000, 2018, 2127, 2145, 2167, 2169, 2180, 2184, 2186, 2191, 2194, 2195, 2197, 2199, 2201, 2203, 2207, 2210, 2211, 2214, 2215, 2217, 2218, 2220, 2222, 2224, 2225, 2226, 2228, 2234, 2235, 2237, 2246, 2249, 2255, 2260, 2261, 2265, 2283, 2289, 2294, 2295, 2298, 2302, 2307], "kindli": 1, "king": 2289, "kingcom": 25, "kitten": 740, "kiwi": 1198, "kl": 864, "klass": [3, 2192, 2197, 2218, 2298], "kleen": [1121, 2196, 2201, 2265, 2283, 2289], "klib": 2261, "kml": 2199, "know": [0, 1, 2, 3, 4, 5, 7, 10, 13, 21, 23, 25, 240, 816, 1168, 1203, 1264, 2186, 2188, 2191, 2192, 2197, 2199, 2201, 2205, 2207, 2228, 2246, 2261, 2294], "knowledg": [0, 2212], "known": [2, 6, 10, 21, 25, 29, 182, 760, 906, 1501, 1793, 1815, 2186, 2194, 2195, 2197, 2199, 2201, 2213, 2248, 2249], "ko": 864, "koala": [150, 864], "kol": 718, "kolkata": 718, "kona": 142, "konqueror": [207, 781], "kord": 2199, "krogh": [146, 720, 1280, 2218], "kroghinterpol": [146, 720], "kurt": [156, 731, 1041, 2186, 2217, 2225, 2230, 2239, 2260, 2277, 2278, 2294, 2298, 2302], "kurtosi": [155, 730, 1309, 1326, 2186, 2219, 2227, 2260], "kw": [2199, 2221, 2225], "kwarg": [3, 16, 17, 18, 19, 50, 51, 52, 58, 59, 60, 61, 62, 72, 73, 75, 76, 77, 78, 81, 91, 92, 103, 104, 105, 106, 120, 137, 146, 155, 156, 162, 164, 165, 166, 170, 182, 183, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 200, 201, 203, 219, 225, 232, 242, 245, 249, 250, 254, 260, 263, 273, 283, 287, 288, 291, 296, 314, 316, 318, 321, 326, 327, 345, 356, 357, 359, 360, 361, 406, 408, 430, 461, 473, 475, 476, 562, 581, 582, 584, 585, 586, 587, 588, 605, 606, 607, 611, 612, 613, 614, 615, 616, 625, 626, 627, 628, 638, 639, 643, 652, 667, 670, 673, 677, 680, 683, 685, 686, 713, 715, 716, 720, 730, 731, 742, 743, 744, 746, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 774, 775, 794, 800, 806, 817, 824, 873, 879, 882, 883, 892, 893, 900, 910, 916, 940, 943, 948, 951, 1032, 1041, 1044, 1054, 1073, 1074, 1075, 1145, 1148, 1149, 1152, 1154, 1160, 1161, 1162, 1163, 1168, 1173, 1187, 1188, 1192, 1193, 1198, 1202, 1203, 1207, 1208, 1211, 1217, 1218, 1219, 1220, 1225, 1230, 1231, 1232, 1248, 1249, 1253, 1254, 1259, 1263, 1264, 1269, 1270, 1276, 1280, 1281, 1282, 1283, 1284, 1285, 1287, 1288, 1289, 1290, 1291, 1292, 1294, 1295, 1296, 1297, 1304, 1305, 1321, 1322, 1327, 1338, 1339, 1340, 1341, 1344, 1395, 1396, 1413, 1414, 1415, 1418, 1432, 1455, 1456, 1458, 1461, 1465, 1466, 1468, 1470, 1474, 1477, 1478, 2184, 2191, 2192, 2194, 2195, 2197, 2199, 2203, 2205, 2208, 2210, 2212, 2216, 2218, 2219, 2220, 2224, 2225, 2226, 2228, 2230, 2232, 2234, 2235, 2237, 2238, 2239, 2246, 2249, 2250, 2265, 2269, 2271, 2277, 2280, 2283, 2287, 2289, 2294, 2298], "kwd": [16, 17, 18, 19, 339, 1457, 1460, 1463, 1472, 1741, 2199, 2202, 2203, 2218, 2232, 2235, 2241, 2255, 2271, 2298], "kwds_default": [16, 17, 18, 19, 2199, 2203, 2232, 2235, 2298], "ky": 2249, "l": [13, 15, 134, 259, 276, 532, 890, 902, 916, 1345, 1391, 1433, 1440, 1488, 1490, 1500, 2166, 2188, 2193, 2197, 2199, 2202, 2207, 2210, 2217, 2222, 2228, 2257, 2294, 2298, 2302, 2307], "l0": [1433, 2207], "l1": [1433, 2185], "l2": 2185, "la": [1190, 1251], "lab": [35, 188, 189, 764, 765], "label": [1, 12, 13, 15, 16, 17, 19, 23, 24, 25, 27, 28, 29, 31, 32, 34, 63, 69, 70, 71, 72, 73, 75, 76, 82, 83, 86, 91, 93, 96, 109, 111, 112, 114, 116, 117, 118, 119, 123, 126, 129, 130, 131, 132, 134, 135, 137, 138, 141, 142, 145, 147, 148, 149, 150, 151, 159, 160, 161, 167, 169, 171, 173, 175, 176, 177, 178, 186, 187, 188, 189, 192, 195, 196, 198, 199, 204, 206, 207, 208, 209, 210, 211, 213, 214, 215, 216, 217, 218, 220, 221, 222, 223, 226, 227, 228, 233, 234, 237, 241, 244, 249, 251, 253, 257, 258, 259, 260, 266, 267, 268, 269, 273, 275, 276, 279, 280, 281, 282, 285, 286, 328, 342, 345, 354, 359, 360, 362, 363, 365, 368, 378, 382, 383, 417, 418, 421, 425, 426, 433, 465, 466, 478, 481, 487, 489, 490, 491, 492, 493, 498, 499, 505, 506, 509, 573, 579, 580, 581, 582, 584, 585, 587, 588, 593, 594, 633, 634, 636, 693, 695, 698, 702, 709, 713, 714, 715, 716, 717, 718, 725, 726, 738, 750, 755, 756, 762, 763, 764, 765, 770, 771, 772, 781, 782, 783, 784, 788, 789, 793, 798, 801, 802, 807, 808, 815, 833, 882, 884, 885, 886, 889, 890, 892, 896, 897, 900, 902, 913, 952, 1078, 1146, 1148, 1149, 1154, 1171, 1173, 1182, 1188, 1192, 1193, 1202, 1204, 1228, 1230, 1231, 1232, 1241, 1249, 1253, 1254, 1263, 1269, 1270, 1278, 1304, 1321, 1343, 1349, 1355, 1386, 1394, 1395, 1397, 1398, 1402, 1403, 1404, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1416, 1418, 1430, 1431, 1433, 1437, 1438, 1439, 1440, 1445, 1446, 1447, 1448, 1455, 1458, 1461, 1467, 1469, 1470, 1472, 1475, 1476, 1484, 1485, 1486, 1487, 1494, 1496, 2172, 2188, 2194, 2195, 2196, 2199, 2204, 2206, 2207, 2210, 2212, 2213, 2214, 2215, 2216, 2217, 2218, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2230, 2231, 2232, 2235, 2236, 2237, 2239, 2241, 2246, 2261, 2264, 2265, 2266, 2274, 2276, 2278, 2280, 2283, 2289, 2298, 2302, 2307], "label1": [2199, 2214, 2283], "label2": [2199, 2214, 2283], "label3": 2199, "labor": 2210, "lack": [2, 13, 1374, 2194, 2199, 2211, 2235, 2249, 2250], "lag": [34, 597, 1460, 2220, 2225, 2232, 2261], "lag_plot": [2172, 2211], "lai": [590, 893], "laina": 32, "lake": 2199, "lama": [369, 373], "lambda": [2, 34, 56, 60, 77, 78, 81, 94, 134, 141, 160, 162, 186, 233, 234, 273, 405, 509, 586, 613, 717, 738, 762, 783, 807, 808, 857, 900, 1035, 1148, 1149, 1152, 1159, 1168, 1172, 1184, 1187, 1188, 1201, 1203, 1207, 1208, 1211, 1216, 1225, 1229, 1248, 1249, 1262, 1264, 1269, 1270, 1289, 1296, 1305, 1322, 1348, 1395, 1400, 1403, 1404, 1415, 1433, 1469, 1470, 1486, 2184, 2186, 2188, 2191, 2193, 2195, 2197, 2199, 2205, 2207, 2210, 2212, 2217, 2219, 2220, 2225, 2227, 2231, 2235, 2238, 2241, 2246, 2250, 2257, 2260, 2264, 2265, 2271, 2283, 2294, 2298, 2302], "lambda_0": [2195, 2249], "lambda_1": [2195, 2249], "lambert": 2248, "lan": [2197, 2231], "land": [2210, 2249, 2309], "lang": [1491, 2199], "languag": [3, 5, 8, 15, 21, 34, 36, 291, 314, 643, 667, 962, 990, 1487, 2194, 2199, 2207, 2238, 2283], "larg": [0, 2, 13, 16, 17, 19, 22, 34, 77, 91, 134, 185, 191, 194, 481, 709, 767, 769, 1142, 1345, 1354, 1387, 1391, 1423, 1432, 1434, 1454, 1458, 1469, 1470, 1486, 1487, 1488, 1490, 1499, 2185, 2186, 2188, 2191, 2192, 2193, 2194, 2196, 2197, 2199, 2202, 2206, 2207, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2234, 2235, 2238, 2239, 2241, 2243, 2246, 2248, 2249, 2254, 2260, 2263, 2264, 2265, 2271, 2272, 2274, 2283, 2289, 2298, 2299, 2302, 2307], "large_binari": 2300, "large_leg_num": 494, "large_repr": [1345, 1391, 1488, 1490, 2202, 2218, 2220], "large_str": [2300, 2307], "larger": [1, 13, 25, 136, 223, 248, 378, 417, 465, 489, 712, 754, 757, 798, 881, 923, 1183, 1194, 1242, 1243, 1244, 1255, 1354, 1423, 1499, 2193, 2195, 2199, 2205, 2211, 2218, 2221, 2228, 2232, 2235, 2249, 2250, 2253, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2307], "largest": [32, 176, 179, 213, 359, 587, 754, 757, 788, 1242, 1243, 2193, 2195, 2199, 2205, 2210, 2246, 2264], "last": [1, 2, 3, 6, 13, 15, 16, 17, 18, 19, 22, 24, 50, 74, 79, 80, 84, 88, 107, 112, 116, 124, 125, 127, 136, 137, 146, 158, 169, 176, 179, 181, 182, 184, 207, 208, 209, 213, 218, 233, 234, 247, 248, 279, 304, 305, 306, 308, 309, 345, 362, 369, 373, 383, 418, 420, 427, 502, 513, 515, 532, 535, 583, 591, 592, 595, 600, 605, 629, 634, 656, 657, 658, 660, 661, 692, 700, 701, 703, 712, 713, 720, 733, 754, 757, 759, 760, 781, 782, 788, 793, 799, 807, 808, 829, 853, 861, 880, 881, 906, 976, 977, 978, 980, 1000, 1040, 1044, 1049, 1052, 1061, 1069, 1071, 1072, 1076, 1117, 1118, 1146, 1164, 1167, 1169, 1173, 1193, 1201, 1221, 1224, 1226, 1230, 1242, 1243, 1254, 1262, 1276, 1280, 1344, 1346, 1352, 1355, 1356, 1359, 1362, 1363, 1365, 1367, 1369, 1370, 1371, 1372, 1373, 1384, 1385, 1387, 1433, 1436, 1443, 1446, 1447, 1453, 1459, 1464, 1494, 1524, 1560, 1637, 1793, 1815, 1857, 2054, 2166, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2196, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2207, 2208, 2210, 2212, 2217, 2218, 2220, 2221, 2222, 2223, 2224, 2228, 2231, 2232, 2235, 2241, 2246, 2247, 2248, 2249, 2254, 2261, 2263, 2264, 2265, 2267, 2269, 2271, 2276, 2277, 2283, 2287, 2294, 2297, 2298, 2302, 2307, 2308], "last_ewm": 2212, "last_nam": [16, 17, 19], "last_valid_index": [128, 704, 2231, 2238, 2241, 2302], "lastli": 2210, "lastweekofmonth": [2172, 2210, 2218, 2221, 2241], "lat": [10, 1069, 1071, 1072], "later": [3, 5, 81, 88, 268, 272, 362, 363, 600, 1462, 1473, 1487, 2185, 2186, 2191, 2195, 2199, 2208, 2210, 2214, 2232, 2235, 2241, 2253, 2283], "latest": [5, 13, 66, 258, 362, 363, 889, 1119, 1475, 2199, 2222, 2249, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "latex": [259, 890, 1345, 1391, 1394, 1403, 1404, 1417, 1428, 1433, 1488, 1490, 2172, 2196, 2202, 2226, 2235, 2239, 2241, 2277, 2283, 2289, 2302], "latin": [2199, 2202], "latitud": [10, 30, 197, 1069, 1071, 1072], "latter": [13, 21, 27, 29, 92, 616, 1433, 1469, 1486, 2199, 2226, 2261, 2283], "launch": 5, "laurentii": 2199, "lawngreen": 2207, "lawrenc": 25, "layer": [12, 494, 1146, 2193], "layout": [21, 33, 91, 137, 186, 272, 762, 1154, 1173, 1188, 1249, 1458, 1487, 2197, 2218, 2220, 2222, 2223, 2225, 2235], "lazi": [16, 17, 18, 19, 74, 82, 98, 143, 169, 207, 208, 209, 210, 226, 227, 264, 270, 274, 276, 277, 278, 583, 593, 621, 719, 728, 781, 782, 783, 784, 801, 802, 880, 894, 898, 902, 903, 904, 1446, 2190, 2199, 2218, 2220, 2235, 2238, 2241, 2283, 2298, 2300, 2302, 2307], "lazili": [728, 2199, 2232, 2254], "lc_all": 1491, "le": [118, 132, 135, 161, 175, 2186, 2232, 2265], "lead": [1, 18, 32, 44, 102, 169, 191, 194, 203, 350, 767, 769, 849, 863, 868, 1158, 1280, 1446, 1498, 2185, 2188, 2190, 2193, 2197, 2199, 2208, 2210, 2212, 2217, 2218, 2220, 2222, 2225, 2226, 2230, 2235, 2238, 2241, 2246, 2249, 2250, 2261, 2263, 2265, 2271, 2277, 2283, 2287, 2289, 2290, 2293, 2294, 2297, 2298, 2302], "leadership": 0, "leak": [2228, 2245, 2246, 2249, 2271, 2277, 2287, 2289, 2296, 2298, 2308], "leap": [303, 514, 516, 517, 523, 532, 555, 655, 975, 1815, 2210, 2232], "learn": [0, 1, 21, 77, 79, 213, 218, 286, 591, 788, 793, 938, 1117, 1145, 1193, 1254, 1344, 1393, 1452, 1497, 2197, 2199, 2218, 2219], "least": [1, 5, 13, 18, 75, 76, 114, 169, 224, 280, 584, 585, 1146, 1194, 1255, 1406, 1446, 1448, 1498, 2186, 2195, 2197, 2199, 2208, 2222, 2224, 2227, 2232, 2235, 2238, 2249, 2255, 2261, 2272, 2275, 2276, 2283, 2284, 2289, 2298], "leav": [13, 34, 97, 143, 167, 185, 353, 586, 620, 719, 1191, 1252, 1444, 1445, 1454, 2166, 2186, 2191, 2199, 2204, 2207, 2211, 2218, 2220, 2227, 2230, 2246, 2298], "led": [2218, 2249, 2283, 2289, 2292, 2294], "left": [3, 6, 16, 17, 19, 27, 30, 74, 80, 88, 91, 96, 119, 121, 137, 153, 169, 186, 209, 213, 218, 219, 253, 257, 269, 280, 286, 345, 362, 370, 383, 395, 404, 420, 445, 446, 447, 448, 449, 451, 453, 454, 456, 459, 460, 462, 463, 464, 467, 469, 473, 475, 476, 483, 583, 592, 599, 600, 695, 696, 713, 762, 783, 788, 793, 794, 799, 821, 822, 830, 835, 849, 852, 857, 858, 859, 860, 865, 868, 871, 874, 886, 1061, 1125, 1126, 1128, 1129, 1130, 1131, 1136, 1138, 1139, 1145, 1173, 1188, 1192, 1193, 1230, 1249, 1253, 1254, 1343, 1344, 1345, 1365, 1391, 1393, 1398, 1407, 1411, 1415, 1431, 1433, 1446, 1447, 1448, 1452, 1458, 1488, 1490, 1493, 1494, 1495, 1496, 1497, 2166, 2184, 2185, 2186, 2187, 2193, 2197, 2199, 2200, 2202, 2207, 2208, 2210, 2211, 2212, 2214, 2218, 2220, 2221, 2222, 2224, 2225, 2227, 2228, 2232, 2238, 2239, 2241, 2246, 2249, 2265, 2271, 2277, 2283, 2294, 2298, 2302, 2307, 2308], "left_bi": [1447, 1448, 2200, 2234, 2277], "left_df": [2200, 2271], "left_index": [169, 404, 1446, 1447, 2200, 2234, 2235, 2241, 2265, 2272, 2283, 2302], "left_join": [16, 17, 19], "left_on": [18, 30, 169, 1446, 1447, 1448, 2200, 2241, 2298], "left_onli": [169, 1446, 2200, 2228], "left_uniqu": 2200, "left_val": [1447, 2232], "leftindex": 2200, "leftmost": 383, "leftward": 1398, "leg": [147, 164, 170, 172, 245, 494, 742, 746, 879], "leg_num": 494, "legaci": [267, 896, 1469, 1473, 1486, 2228, 2229, 2232, 2261, 2263, 2265, 2277], "legend": [137, 186, 188, 713, 762, 764, 1173, 1188, 1230, 1249, 2184, 2217, 2220, 2222, 2226, 2232, 2255, 2265, 2271, 2283], "legitim": 2232, "len": [15, 16, 17, 19, 32, 78, 145, 162, 213, 266, 273, 285, 345, 440, 485, 788, 866, 900, 913, 1063, 1154, 1159, 1216, 2184, 2185, 2186, 2191, 2193, 2195, 2197, 2199, 2202, 2205, 2208, 2210, 2211, 2212, 2214, 2216, 2217, 2218, 2220, 2222, 2228, 2232, 2235, 2241, 2246, 2249, 2264, 2271, 2286, 2289, 2302], "len_axi": 2197, "lend": 34, "length": [3, 25, 31, 32, 34, 111, 117, 119, 123, 127, 134, 137, 141, 146, 157, 160, 169, 185, 186, 188, 189, 192, 197, 212, 214, 218, 223, 228, 234, 240, 251, 253, 257, 258, 259, 268, 269, 273, 280, 316, 401, 403, 418, 420, 434, 437, 439, 445, 449, 459, 460, 461, 467, 468, 473, 475, 476, 477, 490, 495, 501, 573, 590, 622, 624, 633, 670, 682, 693, 695, 703, 709, 717, 720, 727, 732, 737, 738, 762, 764, 765, 787, 793, 798, 799, 816, 821, 836, 837, 838, 839, 840, 841, 842, 843, 844, 846, 866, 874, 884, 886, 889, 890, 897, 900, 905, 1031, 1032, 1033, 1034, 1035, 1036, 1037, 1038, 1040, 1045, 1046, 1047, 1052, 1053, 1054, 1055, 1059, 1061, 1063, 1066, 1067, 1074, 1076, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1143, 1144, 1159, 1173, 1188, 1194, 1213, 1215, 1216, 1249, 1255, 1280, 1343, 1384, 1390, 1393, 1394, 1395, 1396, 1416, 1431, 1446, 1447, 1448, 1454, 1457, 1460, 1467, 1469, 1486, 2163, 2164, 2165, 2185, 2186, 2188, 2191, 2194, 2195, 2197, 2198, 2199, 2202, 2204, 2208, 2209, 2210, 2211, 2212, 2214, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2233, 2235, 2236, 2238, 2240, 2241, 2246, 2249, 2257, 2260, 2264, 2265, 2267, 2271, 2272, 2274, 2277, 2283, 2289, 2293, 2294, 2298, 2301, 2302, 2307], "length_of_index": 2226, "lengthc": 16, "lengthn": 16, "lenient": 2199, "leopard": [836, 837, 838, 839, 840, 841, 842, 843, 844, 1178, 1181, 1189, 1200, 1237, 1240, 1250, 1261, 2195], "leq": [121, 696, 2212], "lesort_depth": 2294, "less": [3, 10, 15, 17, 24, 29, 30, 31, 34, 62, 118, 132, 135, 159, 161, 175, 184, 185, 462, 599, 615, 664, 669, 675, 734, 739, 850, 874, 946, 947, 949, 1128, 1444, 1447, 1453, 1454, 1457, 1476, 2166, 2186, 2195, 2196, 2197, 2199, 2200, 2206, 2207, 2208, 2210, 2211, 2220, 2222, 2226, 2228, 2230, 2235, 2238, 2240, 2246, 2249, 2261, 2265, 2271, 2283, 2289, 2298, 2302], "lesson": 35, "let": [2, 3, 4, 5, 6, 10, 13, 17, 18, 24, 25, 26, 29, 30, 31, 34, 195, 197, 211, 268, 770, 938, 1472, 2184, 2186, 2193, 2195, 2199, 2200, 2205, 2207, 2210, 2211, 2217, 2218, 2271, 2302], "letter": [3, 15, 27, 828, 829, 836, 837, 838, 839, 840, 841, 842, 843, 844, 1146, 1470, 2195, 2199, 2208, 2211, 2218, 2230, 2271, 2277], "lev0": 1406, "lev1": [184, 1406, 1453], "lev2": [184, 1453], "lev3": [184, 1453], "lev4": [184, 1453], "level": [3, 5, 7, 9, 12, 13, 22, 30, 34, 69, 74, 75, 76, 96, 109, 111, 113, 118, 123, 129, 132, 134, 135, 148, 149, 153, 159, 161, 163, 167, 168, 169, 171, 173, 175, 177, 178, 185, 199, 203, 204, 206, 207, 209, 211, 212, 213, 214, 215, 216, 217, 218, 220, 221, 222, 225, 233, 234, 241, 242, 244, 247, 256, 266, 268, 272, 275, 277, 278, 279, 281, 283, 284, 285, 288, 296, 318, 345, 348, 354, 370, 371, 376, 381, 401, 402, 404, 407, 413, 417, 418, 421, 432, 435, 440, 478, 481, 482, 483, 485, 486, 487, 488, 490, 491, 492, 493, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 578, 583, 584, 585, 619, 631, 633, 635, 639, 652, 673, 694, 699, 706, 707, 709, 710, 713, 725, 726, 734, 739, 741, 745, 747, 749, 753, 755, 756, 773, 777, 780, 781, 783, 785, 787, 788, 789, 790, 791, 792, 793, 795, 796, 797, 800, 807, 815, 817, 829, 877, 878, 880, 888, 891, 901, 903, 904, 905, 906, 910, 912, 913, 940, 943, 948, 1036, 1051, 1064, 1146, 1147, 1150, 1151, 1153, 1154, 1157, 1160, 1161, 1162, 1163, 1165, 1166, 1170, 1171, 1176, 1178, 1180, 1181, 1185, 1186, 1189, 1193, 1195, 1196, 1197, 1199, 1200, 1204, 1205, 1206, 1209, 1210, 1212, 1214, 1217, 1218, 1219, 1220, 1222, 1223, 1224, 1227, 1228, 1230, 1233, 1234, 1235, 1237, 1239, 1240, 1245, 1246, 1247, 1250, 1254, 1256, 1257, 1258, 1259, 1260, 1261, 1267, 1268, 1273, 1277, 1278, 1279, 1284, 1287, 1288, 1292, 1293, 1306, 1323, 1345, 1387, 1388, 1390, 1391, 1394, 1395, 1396, 1400, 1404, 1406, 1413, 1414, 1415, 1416, 1419, 1421, 1423, 1432, 1433, 1434, 1435, 1436, 1443, 1445, 1446, 1454, 1474, 1478, 1485, 1488, 1490, 2167, 2172, 2184, 2186, 2188, 2192, 2193, 2196, 2197, 2199, 2202, 2203, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2217, 2218, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2228, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2239, 2242, 2243, 2253, 2254, 2255, 2256, 2257, 2259, 2261, 2262, 2263, 2266, 2269, 2271, 2272, 2273, 2274, 2275, 2277, 2289, 2290, 2293, 2294, 2298, 2300, 2302, 2303], "level0": [1422, 1432, 2207], "level1a": 1422, "level1b": 1422, "level_": [1476, 2199], "level_0": [490, 2199, 2298], "level_1": [113, 490, 635, 2199, 2298], "level_2": [113, 490, 635], "level_cod": 2249, "level_n": [2199, 2289], "levels_to_verifi": 2249, "leverag": [1499, 2193, 2197, 2199, 2207, 2212, 2241, 2307], "lewi": 101, "lex": 2224, "lexic": [39, 203, 2184, 2188, 2224], "lexical_analysi": 203, "lexicograph": [74, 153, 169, 404, 406, 408, 478, 485, 486, 487, 488, 583, 1146, 1446, 2219, 2249, 2302, 2307], "lexsort": [491, 1117, 1375, 1384, 2185, 2188, 2220, 2230, 2232, 2234, 2235], "lexsort_depth": [2224, 2265, 2283, 2298], "lexual": 2219, "lfilter": 2218, "lg": [2186, 2191, 2227], "lh": 2218, "li": [202, 513, 515, 529, 535, 718, 776, 1314, 1331], "liabil": 34, "liabl": 34, "lib": [2, 15, 16, 17, 18, 19, 22, 145, 214, 2184, 2185, 2193, 2197, 2199, 2203, 2205, 2212, 2226, 2235, 2246, 2265, 2298], "libnam": 16, "librari": [2, 3, 9, 10, 13, 16, 17, 18, 19, 20, 22, 31, 34, 36, 66, 98, 251, 253, 255, 256, 262, 263, 265, 267, 322, 352, 562, 586, 621, 677, 681, 682, 683, 824, 827, 845, 853, 861, 862, 866, 867, 873, 884, 886, 888, 895, 896, 999, 1069, 1071, 1072, 1077, 1090, 1118, 1345, 1391, 1431, 1473, 1474, 1475, 1478, 1482, 1483, 1488, 1490, 2167, 2168, 2172, 2186, 2188, 2191, 2196, 2199, 2202, 2203, 2207, 2208, 2210, 2211, 2212, 2213, 2216, 2217, 2218, 2221, 2225, 2228, 2232, 2234, 2238, 2240, 2241, 2246, 2249, 2250, 2261, 2265, 2271, 2277, 2283, 2289, 2294, 2302, 2307], "library_vers": 9, "libreoffic": 17, "licens": [36, 2310], "lie": [776, 2199], "life": [34, 35, 121, 696, 2199, 2212], "lifecycl": [2199, 2307], "lifespan": [188, 189, 764, 765], "light": [1397, 2199, 2210, 2219], "light_palett": 2207, "lighten": 2246, "lightli": 6, "lightweight": [6, 2218], "like": [0, 1, 2, 3, 4, 5, 6, 10, 12, 13, 15, 16, 17, 18, 19, 21, 22, 26, 30, 31, 34, 37, 39, 41, 44, 49, 50, 53, 60, 61, 62, 63, 69, 77, 80, 83, 91, 92, 107, 109, 110, 111, 113, 118, 119, 121, 123, 126, 129, 130, 131, 132, 134, 135, 141, 145, 153, 159, 161, 162, 163, 167, 169, 171, 172, 173, 175, 176, 179, 185, 186, 188, 189, 195, 197, 199, 202, 203, 204, 205, 206, 207, 208, 209, 210, 212, 213, 215, 216, 217, 219, 220, 221, 222, 223, 224, 226, 228, 230, 233, 244, 245, 249, 251, 252, 253, 254, 256, 257, 258, 259, 260, 262, 263, 265, 268, 269, 272, 273, 275, 284, 286, 288, 296, 318, 337, 345, 346, 351, 354, 356, 357, 367, 368, 370, 376, 377, 378, 389, 390, 401, 417, 418, 420, 421, 423, 429, 430, 434, 439, 445, 459, 462, 463, 464, 465, 482, 483, 485, 486, 488, 489, 502, 540, 573, 581, 582, 586, 590, 592, 594, 599, 603, 605, 608, 613, 614, 615, 616, 629, 632, 633, 635, 637, 639, 652, 673, 695, 696, 698, 699, 702, 709, 717, 724, 741, 762, 764, 765, 770, 776, 778, 781, 782, 783, 784, 787, 788, 798, 799, 801, 804, 807, 808, 821, 828, 829, 836, 837, 838, 839, 840, 841, 842, 843, 844, 862, 866, 877, 879, 882, 884, 885, 886, 888, 889, 890, 892, 895, 897, 900, 905, 909, 912, 920, 938, 940, 943, 948, 953, 957, 970, 983, 997, 1031, 1034, 1052, 1053, 1056, 1061, 1070, 1076, 1078, 1079, 1081, 1082, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1093, 1095, 1097, 1099, 1100, 1101, 1104, 1105, 1106, 1110, 1111, 1112, 1113, 1114, 1115, 1117, 1121, 1123, 1124, 1125, 1128, 1129, 1130, 1142, 1143, 1144, 1145, 1152, 1164, 1188, 1190, 1191, 1194, 1202, 1204, 1211, 1221, 1249, 1251, 1252, 1255, 1263, 1291, 1296, 1342, 1343, 1344, 1345, 1373, 1387, 1388, 1390, 1391, 1392, 1393, 1394, 1395, 1397, 1398, 1403, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1415, 1416, 1418, 1423, 1430, 1431, 1432, 1433, 1434, 1441, 1442, 1445, 1446, 1448, 1449, 1450, 1452, 1454, 1458, 1459, 1467, 1469, 1470, 1471, 1472, 1473, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1490, 1491, 1492, 1494, 1496, 1497, 1498, 1499, 1500, 1506, 1524, 1741, 1815, 1982, 2000, 2090, 2108, 2163, 2166, 2169, 2173, 2180, 2184, 2185, 2187, 2188, 2190, 2192, 2193, 2195, 2196, 2198, 2199, 2200, 2201, 2202, 2204, 2205, 2206, 2207, 2209, 2210, 2211, 2212, 2214, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2239, 2241, 2242, 2243, 2245, 2246, 2248, 2250, 2251, 2257, 2260, 2261, 2263, 2265, 2266, 2267, 2270, 2271, 2276, 2278, 2280, 2286, 2289, 2290, 2292, 2293, 2294, 2298, 2299, 2301, 2306, 2307], "likelihood": [2186, 2227], "likert": 2188, "likescandi": 13, "likewis": [203, 893, 2188, 2194, 2238, 2246, 2249, 2298], "lili": 32, "limb": [210, 784], "limit": [2, 5, 8, 10, 20, 34, 39, 49, 74, 77, 87, 88, 89, 92, 107, 124, 125, 137, 146, 181, 182, 186, 207, 208, 212, 268, 269, 334, 352, 378, 417, 465, 489, 568, 583, 598, 600, 601, 616, 629, 700, 701, 720, 759, 760, 762, 781, 782, 787, 862, 866, 1031, 1040, 1052, 1054, 1153, 1164, 1166, 1167, 1173, 1186, 1188, 1192, 1212, 1221, 1223, 1224, 1247, 1249, 1253, 1272, 1274, 1275, 1280, 1286, 1345, 1391, 1395, 1397, 1398, 1403, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1418, 1430, 1433, 1473, 1476, 1479, 1487, 1488, 1490, 1498, 1499, 2167, 2184, 2185, 2188, 2191, 2192, 2196, 2197, 2199, 2202, 2205, 2208, 2211, 2214, 2215, 2218, 2219, 2220, 2222, 2224, 2225, 2227, 2228, 2232, 2235, 2236, 2238, 2241, 2246, 2249, 2251, 2261, 2265, 2271, 2277, 2283, 2294, 2298, 2302], "limit_area": [89, 124, 146, 601, 700, 720, 1040, 1054, 1280, 2201, 2277, 2307], "limit_direct": [146, 720, 1054, 1280, 2201, 2228, 2236, 2241, 2271, 2277], "linda": [853, 861], "line": [1, 2, 3, 5, 13, 15, 16, 17, 18, 19, 25, 26, 91, 120, 136, 137, 186, 190, 213, 248, 258, 269, 272, 345, 712, 713, 762, 766, 788, 873, 881, 889, 1173, 1188, 1230, 1249, 1345, 1387, 1391, 1433, 1456, 1458, 1459, 1461, 1464, 1468, 1469, 1470, 1472, 1476, 1480, 1485, 1486, 1488, 1490, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2196, 2197, 2200, 2201, 2202, 2203, 2205, 2207, 2208, 2210, 2211, 2212, 2214, 2218, 2220, 2221, 2222, 2224, 2225, 2226, 2228, 2230, 2231, 2232, 2233, 2234, 2235, 2238, 2239, 2241, 2246, 2248, 2249, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2300, 2302, 2307], "line2d": [91, 1458], "line_termin": [251, 884, 2294, 2298], "line_width": [269, 2214, 2232, 2238], "line_with": 2241, "linear": [146, 202, 720, 776, 1054, 1190, 1251, 1280, 1314, 1331, 1411, 2197, 2201, 2241, 2294], "linearli": [1344, 1393, 1455, 1497, 2241], "lineno": 2193, "linesep": [251, 884, 2199], "linetermin": [16, 17, 18, 19, 251, 884, 1469, 1486, 2199, 2203, 2214, 2231, 2232, 2235, 2289, 2294, 2298], "linger": 2261, "link": [0, 2, 3, 4, 10, 13, 17, 26, 29, 30, 36, 79, 213, 218, 257, 286, 591, 788, 793, 938, 1117, 1145, 1193, 1254, 1344, 1393, 1452, 1497, 2186, 2191, 2194, 2196, 2199, 2229, 2235, 2241, 2246, 2277, 2294], "linkag": 2246, "linkedin": 13, "linspac": [10, 1069, 1071, 1072, 1456, 2211, 2230, 2235], "linux": [5, 6, 22, 250, 251, 883, 884, 1491, 2193, 2199, 2234, 2283], "lion": [3, 136, 198, 214, 248, 249, 271, 282, 712, 831, 845, 881, 882, 899, 1163, 1178, 1181, 1189, 1198, 1200, 1202, 1220, 1237, 1240, 1250, 1261, 1263, 2195], "lira": [182, 760], "lisbon": 718, "list": [1, 2, 3, 4, 5, 6, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 22, 23, 24, 25, 28, 31, 32, 34, 36, 37, 39, 41, 50, 53, 58, 60, 63, 65, 69, 72, 73, 77, 80, 83, 86, 91, 103, 104, 105, 106, 107, 109, 111, 113, 114, 118, 123, 124, 125, 126, 129, 130, 131, 132, 134, 135, 141, 142, 146, 147, 153, 159, 160, 161, 167, 169, 171, 173, 175, 176, 179, 184, 185, 186, 188, 189, 190, 193, 195, 199, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 220, 221, 222, 224, 226, 228, 233, 234, 241, 244, 249, 251, 252, 253, 255, 256, 257, 258, 259, 263, 268, 269, 272, 273, 275, 279, 281, 288, 296, 318, 341, 346, 348, 350, 351, 352, 353, 354, 358, 366, 368, 370, 376, 377, 378, 379, 381, 382, 401, 417, 418, 421, 425, 426, 432, 465, 478, 479, 482, 483, 485, 486, 487, 488, 489, 490, 491, 492, 493, 498, 499, 500, 501, 502, 505, 510, 568, 573, 581, 582, 586, 592, 594, 599, 603, 604, 605, 608, 611, 613, 625, 626, 627, 628, 629, 633, 635, 639, 652, 673, 698, 699, 700, 701, 702, 709, 717, 720, 724, 738, 762, 764, 765, 766, 768, 770, 778, 781, 782, 783, 784, 785, 787, 788, 789, 801, 807, 808, 815, 821, 824, 831, 833, 845, 846, 862, 866, 877, 882, 884, 885, 886, 888, 889, 890, 891, 900, 905, 906, 909, 940, 943, 948, 1031, 1034, 1061, 1065, 1076, 1078, 1100, 1101, 1117, 1145, 1146, 1148, 1149, 1154, 1164, 1167, 1176, 1183, 1184, 1188, 1194, 1196, 1202, 1204, 1207, 1208, 1221, 1224, 1233, 1244, 1249, 1255, 1257, 1263, 1269, 1270, 1279, 1304, 1321, 1342, 1344, 1345, 1387, 1388, 1389, 1390, 1394, 1395, 1396, 1397, 1398, 1404, 1405, 1406, 1414, 1416, 1417, 1419, 1421, 1423, 1430, 1431, 1435, 1436, 1443, 1444, 1445, 1446, 1447, 1448, 1453, 1454, 1455, 1458, 1461, 1463, 1466, 1467, 1468, 1469, 1470, 1472, 1473, 1474, 1475, 1476, 1477, 1478, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1492, 1498, 1499, 1500, 1598, 1657, 1677, 1699, 1720, 2163, 2166, 2184, 2185, 2186, 2188, 2190, 2193, 2194, 2195, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2207, 2209, 2210, 2211, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2239, 2241, 2245, 2246, 2248, 2251, 2254, 2255, 2257, 2258, 2259, 2260, 2261, 2263, 2264, 2265, 2266, 2267, 2271, 2272, 2273, 2275, 2277, 2278, 2280, 2283, 2284, 2285, 2286, 2289, 2292, 2293, 2294, 2298, 2299, 2300, 2302, 2303, 2306, 2308], "list_": [37, 735, 736, 737, 1034, 2203, 2294, 2307], "list_of_column": 1444, "list_of_columns_to_filt": [2199, 2215], "list_of_int_typ": 2294, "list_str_typ": 2203, "listen": 0, "listlik": [77, 2185, 2191, 2194, 2225, 2238, 2265, 2289, 2298], "liter": [3, 203, 532, 823, 824, 857, 866, 1475, 1476, 1487, 2185, 2193, 2199, 2208, 2229, 2232, 2241, 2277, 2298, 2302, 2307], "littl": [17, 268, 1475, 1491, 2194, 2197, 2199, 2207, 2261], "live": [6, 1384, 2214], "ljust": [822, 852, 860, 874, 2208, 2225, 2232], "lkei": [169, 1446], "ll": [0, 2, 3, 4, 5, 13, 14, 15, 16, 17, 18, 19, 1403, 2185, 2186, 2191, 2192, 2193, 2195, 2197, 2205, 2207, 2229, 2238, 2239, 2241], "llama": [111, 633, 634, 692, 724], "llc": 34, "llrrl": 1433, "llrrrrrrrrl": 1433, "llvm": [22, 2193], "lmap": 2218, "lmt": [2186, 2210, 2222], "ln": [8, 13, 121, 696], "ln_h": [2186, 2227], "lo": 18, "load": [2, 16, 17, 19, 23, 34, 186, 251, 255, 258, 265, 352, 762, 884, 889, 895, 1188, 1249, 1455, 1463, 1470, 1471, 1473, 1474, 1477, 1478, 1479, 1481, 2184, 2185, 2191, 2196, 2197, 2199, 2214, 2218, 2222, 2225, 2228, 2229, 2232, 2235, 2237, 2249, 2271, 2283, 2289, 2298], "load_data": 2218, "load_ext": 2193, "load_workbook": [341, 2199], "loader": [5, 1394, 2207], "loc": [2, 3, 15, 17, 18, 25, 32, 68, 83, 95, 96, 102, 111, 126, 127, 138, 141, 145, 157, 188, 203, 212, 240, 249, 276, 285, 366, 388, 440, 577, 594, 702, 703, 714, 717, 732, 764, 787, 816, 882, 902, 913, 1053, 1064, 1158, 1202, 1263, 1358, 1375, 1380, 1381, 1384, 1395, 1397, 1398, 1403, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1416, 1418, 1430, 1460, 1466, 2169, 2180, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2207, 2208, 2210, 2211, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2230, 2232, 2233, 2235, 2238, 2241, 2246, 2249, 2250, 2264, 2265, 2266, 2269, 2274, 2276, 2277, 2278, 2286, 2289, 2290, 2291, 2292, 2293, 2295, 2297, 2298, 2300, 2302, 2307, 2308], "local": [1, 2, 4, 5, 6, 11, 17, 22, 255, 267, 278, 286, 288, 291, 296, 314, 318, 330, 331, 337, 532, 575, 639, 643, 652, 667, 673, 685, 686, 896, 904, 940, 943, 948, 957, 962, 970, 973, 990, 993, 997, 1010, 1014, 1145, 1344, 1383, 1387, 1469, 1470, 1471, 1472, 1473, 1474, 1476, 1477, 1478, 1480, 1485, 1486, 1491, 1498, 2184, 2186, 2195, 2199, 2205, 2207, 2208, 2218, 2220, 2221, 2222, 2224, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2241, 2243, 2246, 2249, 2261, 2265, 2271, 2289, 2294, 2298, 2299, 2307], "local_dict": [1387, 2292], "localhost": [13, 1469, 1470, 1471, 1472, 1476, 1477, 1478, 1480, 1485, 1486, 2199, 2307], "locallli": 8, "localpath": [337, 2199, 2229], "localserv": 2, "localtim": [1003, 1021], "locat": [2, 3, 6, 12, 13, 15, 16, 17, 19, 29, 30, 31, 32, 69, 80, 84, 88, 95, 109, 111, 119, 129, 141, 142, 145, 147, 160, 171, 173, 199, 204, 206, 207, 208, 212, 215, 216, 217, 220, 221, 222, 240, 244, 255, 275, 285, 300, 301, 359, 360, 363, 366, 378, 380, 382, 383, 388, 417, 420, 426, 465, 466, 478, 489, 491, 492, 493, 578, 587, 588, 589, 592, 595, 600, 618, 631, 694, 695, 706, 707, 710, 717, 734, 738, 739, 747, 749, 753, 773, 777, 780, 781, 782, 787, 790, 791, 792, 795, 796, 797, 799, 816, 878, 901, 913, 1050, 1061, 1142, 1398, 1433, 1469, 1473, 1486, 2184, 2185, 2186, 2191, 2193, 2197, 2200, 2208, 2210, 2211, 2216, 2217, 2218, 2219, 2220, 2222, 2232, 2235, 2241, 2249, 2257, 2264, 2265, 2271], "lock": [2194, 2199, 2228], "locomot": [285, 913], "loffset": [2231, 2235, 2241, 2246, 2271, 2298], "log": [2, 6, 13, 186, 586, 762, 1188, 1249, 2186, 2193, 2201, 2211, 2212, 2213, 2215, 2218, 2226, 2227, 2228, 2248, 2257, 2260, 2294], "log10": [2193, 2246], "log1p": [2193, 2228], "logi": [186, 762, 1188, 1249, 2211, 2249, 2257], "logic": [2, 9, 15, 27, 30, 31, 79, 207, 208, 337, 417, 555, 591, 781, 782, 1121, 1146, 1470, 1776, 2184, 2186, 2188, 2192, 2196, 2199, 2203, 2205, 2207, 2210, 2213, 2215, 2222, 2227, 2246, 2253, 2261, 2265, 2277, 2283, 2289, 2298, 2299, 2302, 2307], "logical_and": 2185, "login": 6, "loglog": [186, 762, 1188, 1249, 2211, 2249], "logo": 0, "logx": [186, 762, 1188, 1249, 2211, 2215, 2249], "lon": [10, 1069, 1071, 1072], "london": [26, 27, 29, 30, 31, 586, 2210, 2221, 2271], "london_mg_per_cub": 27, "long": [0, 1, 2, 3, 21, 31, 119, 123, 167, 184, 185, 230, 241, 263, 695, 698, 804, 808, 873, 1345, 1391, 1444, 1445, 1453, 1454, 1469, 1486, 1487, 1488, 1490, 2163, 2166, 2185, 2188, 2190, 2199, 2202, 2204, 2205, 2208, 2210, 2214, 2216, 2218, 2220, 2222, 2225, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2239, 2240, 2241, 2243, 2246, 2249, 2277, 2278, 2289, 2302, 2307, 2308], "long_seri": 2186, "longdoubl": 2186, "longer": [1, 2, 5, 98, 134, 522, 533, 563, 621, 709, 873, 874, 1118, 1178, 1179, 1180, 1181, 1189, 1200, 1237, 1238, 1239, 1240, 1250, 1261, 1284, 1290, 1295, 1469, 1486, 2191, 2197, 2199, 2202, 2210, 2214, 2215, 2217, 2218, 2219, 2220, 2221, 2222, 2224, 2225, 2226, 2228, 2230, 2231, 2233, 2235, 2238, 2242, 2243, 2246, 2247, 2257, 2261, 2263, 2264, 2265, 2266, 2271, 2275, 2277, 2278, 2292, 2294, 2295, 2298, 2302], "longest": [32, 923, 2217, 2272], "longitud": [10, 30, 197, 1069, 1071, 1072], "longlong": 2186, "longpanel": [2228, 2246, 2257], "longtabl": [259, 890, 1345, 1391, 1433, 1488, 1490, 2202, 2220, 2230, 2239, 2277, 2289, 2291, 2298], "longtablebuild": 2277, "longtim": 2228, "look": [1, 2, 3, 5, 6, 8, 12, 13, 15, 23, 25, 30, 114, 207, 212, 218, 781, 787, 793, 983, 1460, 1491, 2168, 2185, 2186, 2193, 2195, 2196, 2199, 2207, 2210, 2211, 2212, 2216, 2217, 2219, 2220, 2223, 2225, 2228, 2238, 2241, 2246, 2249, 2261, 2271], "lookup": [2, 12, 17, 83, 138, 594, 714, 1387, 2185, 2197, 2199, 2220, 2238, 2249, 2256, 2257, 2265, 2273, 2277, 2290, 2298], "lookup_error": [16, 17, 18, 19, 2199, 2235], "lookuperror": 2199, "loop": [21, 27, 1146, 2185, 2186, 2191, 2193, 2199, 2207, 2212, 2218, 2265, 2271, 2294], "loos": 14, "los_angel": [9, 335, 336], "lose": [2218, 2219, 2221, 2229, 2230, 2231, 2232, 2241, 2246, 2248, 2265, 2269, 2271, 2277, 2283, 2289, 2290, 2291, 2294, 2296, 2297, 2298, 2300, 2302, 2306], "loss": [34, 1280, 1484, 1499, 2191, 2199, 2218, 2220, 2228, 2246, 2249, 2265, 2283, 2294], "lossi": 2283, "lossless": 1364, "losslessli": [163, 284, 741, 912, 2210, 2220, 2289, 2294, 2298], "lossysetitemerror": 2298, "lost": [256, 888, 893, 932, 2174, 2199, 2210, 2217, 2218, 2222, 2227, 2228, 2230, 2231, 2241, 2246, 2249, 2261, 2266, 2302], "lostlessli": 2286, "lot": [2, 5, 15, 23, 31, 212, 787, 2186, 2188, 2193, 2194, 2197, 2199, 2207, 2208, 2210, 2221, 2222, 2226, 2235, 2265, 2289, 2308], "loudli": [2203, 2230, 2298], "louis": 281, "love": 2207, "low": [3, 16, 17, 19, 34, 208, 268, 782, 1064, 1185, 1191, 1204, 1246, 1252, 1288, 1397, 1430, 1433, 1474, 1485, 2188, 2205, 2206, 2210, 2218, 2229, 2238, 2246, 2256, 2261, 2271, 2277], "low_memori": [16, 17, 18, 19, 1469, 1486, 2199, 2203, 2232, 2235, 2238, 2243, 2298], "lowcas": 16, "lower": [10, 16, 17, 19, 27, 32, 34, 92, 107, 202, 209, 233, 234, 282, 513, 515, 535, 616, 629, 681, 776, 807, 808, 819, 820, 869, 870, 872, 1031, 1164, 1190, 1221, 1251, 1314, 1331, 1398, 1411, 1469, 1486, 2184, 2185, 2186, 2195, 2197, 2199, 2207, 2208, 2210, 2211, 2214, 2215, 2216, 2223, 2225, 2228, 2230, 2231, 2232, 2238, 2246, 2271, 2277, 2283, 2298, 2307], "lowercas": [27, 32, 819, 820, 836, 837, 838, 839, 840, 841, 842, 843, 844, 848, 857, 869, 870, 872, 2208], "lowest": [205, 238, 261, 778, 830, 835, 858, 859, 1191, 1252, 1315, 1332, 2204, 2207, 2249, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2307], "lr": 1433, "lrang": 2218, "lreshap": [2265, 2298], "lrr": [259, 890, 2199, 2277], "lrrr": 1404, "lst": [186, 713, 762, 1147, 1150, 1151, 1157, 1160, 1161, 1162, 1163, 1165, 1170, 1171, 1176, 1178, 1180, 1181, 1185, 1186, 1188, 1189, 1195, 1196, 1197, 1199, 1200, 1205, 1206, 1209, 1210, 1214, 1217, 1218, 1219, 1220, 1222, 1224, 1227, 1228, 1230, 1233, 1237, 1239, 1240, 1245, 1246, 1247, 1249, 1250, 1256, 1257, 1258, 1260, 1261, 1267, 1268, 1273, 1277, 1278, 1279, 1284, 1287, 1288, 1292, 1293], "lstrip": [863, 868, 2208, 2214], "lsuffix": 153, "lt": [118, 132, 135, 159, 175, 599, 1403, 2186, 2199, 2207, 2232, 2235, 2261, 2265], "lu0197800237": 2220, "lumin": [1397, 2246], "lurk": 2261, "luther": 2289, "lv": 2200, "lval": 2184, "lvalu": [1448, 2186], "lvl0": [1154, 2185, 2220], "lvl1": [1154, 2185, 2199, 2220, 2232], "lvl2": 2199, "lwom": 2210, "lwrap": 1433, "lxml": [22, 272, 1475, 1487, 2199, 2216, 2217, 2249, 2265, 2271, 2277, 2283, 2289, 2294, 2302, 2307], "ly": 2210, "lz4": [256, 263, 888, 2199, 2236], "lz4hc": [256, 888, 2199, 2236], "lzip": 2218, "lzma": [251, 258, 265, 268, 272, 884, 889, 895, 1469, 1476, 1479, 1480, 1485, 1486, 1487, 2213, 2289, 2298, 2302], "lzmafil": [251, 258, 265, 268, 272, 884, 889, 895, 1469, 1476, 1479, 1480, 1485, 1486, 1487, 2302], "lzo": [256, 888, 2199], "m": [1, 2, 5, 8, 13, 16, 17, 19, 22, 23, 24, 25, 27, 31, 32, 153, 163, 169, 241, 258, 264, 270, 273, 276, 284, 287, 298, 300, 301, 320, 322, 326, 423, 513, 515, 519, 522, 523, 525, 528, 532, 535, 537, 538, 541, 547, 548, 549, 551, 557, 558, 562, 563, 564, 566, 651, 677, 680, 741, 857, 889, 898, 900, 902, 912, 916, 917, 918, 923, 938, 939, 953, 954, 997, 999, 1000, 1008, 1017, 1051, 1147, 1157, 1170, 1171, 1176, 1180, 1185, 1195, 1197, 1206, 1214, 1227, 1228, 1233, 1239, 1245, 1246, 1256, 1258, 1268, 1271, 1273, 1274, 1277, 1278, 1279, 1282, 1283, 1284, 1285, 1287, 1288, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1338, 1339, 1340, 1341, 1393, 1397, 1430, 1433, 1446, 1452, 1459, 1464, 1469, 1476, 1482, 1483, 1484, 1486, 1492, 1497, 1498, 1500, 1501, 1578, 1657, 1677, 1699, 1720, 1741, 2186, 2188, 2193, 2197, 2199, 2200, 2201, 2203, 2207, 2208, 2209, 2210, 2214, 2216, 2218, 2220, 2221, 2222, 2227, 2228, 2230, 2231, 2232, 2238, 2246, 2249, 2257, 2264, 2265, 2271, 2277, 2294, 2298, 2302], "m8": [46, 1114, 2210, 2216, 2228, 2230, 2298], "ma": [2211, 2283, 2298], "mac": [6, 22], "machin": [1, 2, 4, 11, 16, 19, 22, 1491, 2193, 2194, 2199, 2289], "maco": [5, 22, 250, 883, 2246, 2249, 2250, 2278], "macro": 2277, "mactch": 2200, "mad": [2212, 2255, 2271, 2283, 2289, 2294, 2298], "made": [0, 1, 2, 13, 14, 25, 26, 27, 28, 29, 30, 31, 34, 35, 98, 144, 227, 261, 274, 621, 633, 802, 893, 1045, 1433, 2185, 2186, 2193, 2194, 2195, 2199, 2207, 2211, 2218, 2220, 2222, 2224, 2228, 2230, 2231, 2232, 2235, 2241, 2242, 2246, 2249, 2255, 2260, 2265, 2271, 2277, 2283, 2289, 2294, 2302, 2308], "magic": [2185, 2193, 2235], "magnitud": [2193, 2212, 2226], "magrittr": [2186, 2227], "mai": [1, 2, 3, 4, 5, 6, 8, 9, 10, 13, 14, 15, 16, 22, 31, 32, 34, 35, 37, 38, 60, 77, 81, 82, 85, 102, 121, 134, 141, 160, 191, 194, 203, 207, 208, 211, 234, 249, 251, 253, 256, 258, 261, 267, 268, 276, 278, 286, 331, 346, 351, 356, 357, 367, 378, 389, 393, 417, 420, 429, 434, 459, 465, 489, 490, 491, 499, 568, 575, 590, 593, 596, 613, 686, 696, 709, 717, 718, 738, 740, 767, 769, 781, 782, 785, 799, 828, 846, 873, 882, 884, 886, 888, 889, 893, 896, 902, 904, 911, 914, 915, 916, 923, 973, 1014, 1031, 1035, 1056, 1064, 1090, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1142, 1143, 1144, 1146, 1152, 1158, 1183, 1202, 1203, 1211, 1244, 1263, 1264, 1272, 1275, 1280, 1286, 1345, 1358, 1375, 1387, 1391, 1400, 1415, 1419, 1431, 1432, 1434, 1469, 1476, 1478, 1485, 1486, 1488, 1490, 1491, 1498, 1499, 1793, 1815, 2167, 2169, 2172, 2180, 2184, 2185, 2186, 2187, 2188, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2204, 2205, 2206, 2207, 2208, 2210, 2211, 2212, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2221, 2222, 2224, 2225, 2227, 2228, 2230, 2232, 2233, 2238, 2240, 2242, 2246, 2249, 2250, 2251, 2260, 2261, 2265, 2271, 2277, 2279, 2283, 2289, 2294, 2297, 2298, 2302, 2307], "mail": [1, 11, 13, 14, 36, 2185], "main": [1, 2, 3, 5, 6, 10, 13, 16, 17, 18, 19, 22, 35, 36, 259, 274, 890, 1433, 1455, 1461, 2185, 2197, 2199, 2203, 2207, 2210, 2211, 2215, 2218, 2235, 2294, 2302], "mainli": [0, 3, 35, 2184, 2195, 2228, 2307], "maintain": [0, 1, 2, 11, 46, 376, 420, 573, 699, 799, 1042, 1043, 1061, 1388, 1416, 2199, 2201, 2207, 2218, 2231, 2240, 2241, 2246, 2265, 2277, 2289, 2294, 2302], "mainten": [11, 2207], "major": [2, 13, 14, 34, 877, 1416, 2191, 2193, 2199, 2214, 2216, 2217, 2218, 2220, 2222, 2225, 2228, 2230, 2232, 2235, 2238, 2240, 2241, 2246, 2254, 2261, 2263, 2265, 2294, 2302, 2309], "major_axi": [2197, 2199, 2214, 2216, 2218, 2219, 2222, 2230, 2235, 2241], "major_x": [2220, 2222, 2232], "make": [0, 2, 3, 4, 5, 6, 7, 10, 12, 13, 14, 15, 16, 17, 18, 19, 22, 24, 26, 28, 30, 31, 32, 34, 44, 49, 91, 98, 117, 120, 137, 143, 184, 186, 187, 188, 189, 190, 192, 193, 196, 203, 226, 251, 253, 257, 258, 259, 260, 263, 265, 267, 268, 272, 277, 278, 286, 331, 341, 365, 366, 368, 388, 478, 481, 482, 485, 486, 487, 488, 540, 621, 686, 693, 719, 762, 763, 764, 765, 766, 768, 771, 801, 857, 862, 866, 871, 884, 886, 889, 890, 892, 895, 896, 903, 904, 907, 938, 953, 1031, 1040, 1052, 1146, 1148, 1149, 1154, 1173, 1188, 1249, 1387, 1415, 1419, 1431, 1453, 1458, 1462, 1469, 1470, 1471, 1475, 1476, 1478, 1479, 1482, 1483, 1485, 1486, 1487, 1497, 2184, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2193, 2195, 2197, 2199, 2200, 2202, 2205, 2207, 2208, 2210, 2211, 2218, 2220, 2222, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2239, 2246, 2249, 2255, 2260, 2265, 2271, 2277, 2283, 2294, 2298, 2300, 2302, 2307, 2308], "make_axis_dummi": 2232, "make_block": 2265, "make_block_same_class": [2265, 2298], "make_dataclass": [63, 2191], "make_pretti": 2207, "make_spars": 2238, "make_timeseri": 2205, "makedir": [251, 884], "makefil": 2220, "makepanel": [2219, 2235, 2241], "maketran": 871, "maldiv": [176, 179, 754, 757, 1242, 1243], "male": [18, 23, 25, 28, 32, 1204, 2195, 2220], "malform": [1469, 1486, 2199, 2225, 2246, 2265, 2283, 2289], "malfunct": 2238, "malta": [176, 179, 754, 757, 1242, 1243, 2199], "mamba": [1, 13], "mammal": [172, 198, 210, 211, 214, 249, 271, 285, 494, 784, 882, 899, 913, 1198, 1202, 1263, 2195], "manag": [2, 5, 22, 34, 341, 1345, 1391, 1451, 1488, 1490, 1793, 1815, 2186, 2197, 2199, 2202, 2218, 2222, 2224, 2232, 2238, 2246, 2277, 2298], "manchest": 2199, "mangl": [2195, 2241, 2246, 2289], "mangle_dupe_col": [2283, 2294, 2298], "mango": [394, 399], "mani": [1, 2, 3, 5, 7, 8, 10, 13, 15, 16, 17, 18, 19, 21, 22, 23, 24, 26, 31, 34, 35, 85, 102, 114, 168, 342, 596, 754, 757, 1031, 1064, 1153, 1158, 1166, 1212, 1223, 1242, 1243, 1272, 1274, 1275, 1286, 1358, 1387, 1390, 1469, 1486, 1498, 2166, 2167, 2173, 2185, 2186, 2190, 2191, 2192, 2193, 2194, 2195, 2196, 2197, 2199, 2200, 2202, 2205, 2206, 2207, 2210, 2212, 2214, 2216, 2217, 2218, 2219, 2221, 2223, 2225, 2228, 2231, 2232, 2235, 2238, 2241, 2246, 2254, 2255, 2256, 2260, 2261, 2271, 2277, 2283, 2289, 2298, 2302, 2307, 2308], "manifest": [2223, 2224, 2241, 2273], "manipul": [10, 15, 21, 23, 33, 34, 35, 1423, 2172, 2185, 2186, 2195, 2204, 2207, 2210, 2218, 2222, 2257], "manner": [2, 185, 247, 880, 1454, 2188, 2195, 2197, 2199, 2209, 2210, 2222, 2224, 2228, 2231, 2232, 2235, 2241, 2264, 2277, 2307], "manual": [2, 3, 5, 13, 23, 130, 1397, 1423, 1430, 1433, 1459, 1464, 1475, 2186, 2187, 2188, 2190, 2199, 2205, 2211, 2218, 2220, 2241, 2271, 2275, 2278, 2283, 2298], "manufactur": [1793, 1815], "many_to_mani": [153, 169, 1446], "many_to_on": [153, 169, 1446], "map": [3, 10, 15, 27, 32, 60, 77, 78, 79, 82, 91, 134, 148, 149, 177, 178, 183, 197, 209, 212, 213, 252, 256, 266, 268, 328, 402, 413, 433, 586, 591, 593, 613, 709, 725, 726, 755, 756, 761, 783, 787, 788, 871, 885, 888, 952, 1031, 1069, 1071, 1072, 1146, 1343, 1389, 1390, 1394, 1395, 1396, 1397, 1400, 1402, 1403, 1414, 1418, 1421, 1422, 1423, 1430, 1433, 1435, 1458, 1469, 1483, 1486, 2166, 2185, 2188, 2192, 2195, 2197, 2199, 2201, 2203, 2204, 2207, 2210, 2211, 2216, 2217, 2218, 2221, 2222, 2224, 2225, 2228, 2230, 2231, 2232, 2238, 2241, 2246, 2249, 2255, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2307, 2308], "map_": [2203, 2300], "map_index": [1395, 1396, 1400, 1413, 1433, 2207, 2302], "map_inf": 2255, "mapper": [56, 134, 209, 210, 405, 709, 783, 784, 2186, 2192, 2249, 2265, 2294, 2298], "mar": [36, 392, 529, 1491, 2210], "marc": 2241, "march": [247, 314, 322, 562, 667, 677, 880, 990, 2210, 2213, 2241], "margaret": 32, "margin": [29, 185, 1342, 1454, 2218, 2222, 2229, 2231, 2235, 2238, 2250, 2256, 2265, 2271, 2277, 2289, 2298, 2307], "margins_nam": [185, 1342, 1454, 2229, 2232, 2238], "marguerit": 25, "mari": [15, 25, 2204], "maria": 32, "marion": 2199, "mark": [2, 6, 13, 14, 116, 160, 182, 186, 203, 373, 378, 380, 465, 489, 692, 738, 760, 762, 1049, 1188, 1249, 1443, 1469, 1486, 1492, 2191, 2195, 2197, 2199, 2211, 2220, 2228, 2233, 2238], "mark_right": [186, 762, 1188, 1249, 2211], "markdown": [6, 22, 260, 892], "marker": [2, 195, 197, 770, 1465, 1469, 1470, 1486, 2186, 2191, 2199, 2237, 2241, 2246, 2265, 2271, 2277, 2283], "marketplac": 6, "markup": [3, 2199], "marsupi": 150, "martin": 2289, "mar\u00e7o": [314, 667], "mask": [2, 127, 141, 148, 149, 157, 160, 177, 178, 251, 284, 363, 378, 380, 382, 383, 415, 461, 465, 466, 489, 491, 492, 493, 603, 703, 717, 725, 726, 732, 738, 755, 756, 884, 912, 1076, 1121, 1123, 1124, 1127, 1345, 1391, 1488, 1490, 1493, 2184, 2185, 2187, 2191, 2194, 2196, 2202, 2215, 2217, 2218, 2220, 2221, 2222, 2226, 2227, 2230, 2238, 2239, 2241, 2246, 2249, 2250, 2255, 2260, 2264, 2265, 2267, 2271, 2277, 2280, 2283, 2289, 2290, 2293, 2294, 2298, 2299, 2302, 2307, 2308], "maskedarrai": [2191, 2255, 2257], "maskedrecord": [2283, 2298], "mass": [2, 121, 196, 696, 771, 2212, 2248], "massag": [167, 1445, 2204], "mastodon": 13, "mat": 237, "match": [2, 3, 5, 9, 16, 17, 18, 32, 60, 69, 74, 96, 98, 109, 118, 123, 129, 132, 134, 135, 141, 147, 153, 159, 160, 161, 169, 171, 173, 175, 199, 204, 206, 207, 208, 212, 213, 215, 216, 217, 218, 220, 221, 222, 234, 244, 255, 257, 269, 275, 276, 280, 345, 362, 378, 380, 401, 417, 418, 434, 465, 466, 489, 573, 578, 583, 613, 619, 621, 622, 631, 694, 706, 707, 709, 710, 717, 724, 734, 738, 739, 747, 749, 753, 773, 777, 780, 781, 782, 787, 788, 790, 791, 792, 793, 795, 796, 797, 821, 823, 827, 828, 829, 831, 832, 857, 862, 866, 867, 873, 878, 901, 902, 1045, 1068, 1076, 1141, 1182, 1193, 1213, 1241, 1254, 1298, 1299, 1306, 1308, 1309, 1323, 1325, 1326, 1342, 1345, 1389, 1391, 1397, 1407, 1430, 1446, 1447, 1452, 1473, 1475, 1488, 1490, 1493, 1494, 1498, 2166, 2184, 2188, 2191, 2195, 2196, 2197, 2199, 2200, 2201, 2202, 2204, 2206, 2207, 2211, 2212, 2218, 2219, 2220, 2221, 2222, 2224, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2240, 2246, 2248, 2249, 2257, 2261, 2265, 2267, 2271, 2277, 2278, 2283, 2289, 2294, 2295, 2298, 2302, 2307], "matcher": 2221, "materi": [21, 34, 35, 2232, 2238, 2246, 2293], "math": [16, 19, 1394, 1403, 2193, 2298, 2302], "mathemat": [27, 445, 1345, 1391, 1488, 1490, 2202], "mathjax": [1345, 1391, 1488, 1490, 2202, 2241, 2289], "mathml": 2199, "matlab": [186, 762, 1188, 1249], "matplotlib": [2, 3, 10, 21, 22, 26, 31, 35, 91, 137, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 713, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 1154, 1173, 1188, 1230, 1249, 1345, 1391, 1397, 1398, 1430, 1455, 1456, 1457, 1458, 1459, 1460, 1461, 1463, 1464, 1465, 1466, 1488, 1490, 2184, 2196, 2202, 2207, 2213, 2217, 2218, 2220, 2222, 2223, 2224, 2225, 2227, 2228, 2230, 2232, 2235, 2241, 2246, 2247, 2249, 2250, 2261, 2265, 2271, 2277, 2283, 2289, 2294, 2296, 2298, 2307], "matric": [102, 1158, 2206, 2212, 2220, 2235, 2249, 2256, 2271], "matrix": [3, 15, 34, 99, 102, 110, 237, 238, 622, 632, 809, 812, 815, 1155, 1158, 1213, 1323, 1465, 2186, 2206, 2207, 2212, 2227, 2238, 2241, 2246, 2255, 2260, 2271, 2289, 2298], "matter": [2, 17, 29, 30, 31, 34, 55, 212, 316, 376, 670, 699, 787, 1118, 1388, 2185, 2186, 2188, 2198, 2199], "matthew": 2248, "matthewrocklin": 13, "matur": 5, "max": [2, 3, 15, 21, 23, 28, 31, 39, 49, 72, 73, 103, 107, 134, 170, 185, 192, 200, 201, 205, 214, 245, 266, 269, 408, 581, 582, 617, 625, 629, 709, 746, 774, 775, 778, 879, 1041, 1148, 1149, 1152, 1160, 1164, 1187, 1191, 1203, 1207, 1208, 1211, 1217, 1221, 1248, 1252, 1259, 1264, 1269, 1270, 1289, 1305, 1315, 1332, 1382, 1397, 1398, 1422, 1423, 1430, 1443, 1454, 1498, 1499, 2184, 2188, 2191, 2195, 2202, 2209, 2210, 2211, 2212, 2215, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2229, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2248, 2249, 2257, 2260, 2261, 2262, 2265, 2269, 2271, 2277, 2283, 2289, 2294, 2298, 2299, 2302, 2306], "max_categori": [1345, 1391, 1488, 1490, 2202], "max_col": [144, 257, 269, 1345, 1391, 1488, 1490, 2202, 2246, 2265], "max_color": 1415, "max_column": [1345, 1391, 1432, 1434, 1451, 1488, 1490, 2202, 2220, 2222, 2225, 2241, 2265, 2289, 2298], "max_colwidth": [269, 1345, 1391, 1488, 1490, 2191, 2202, 2226, 2261, 2265, 2266, 2298], "max_dir_item": [1345, 1391, 1488, 1490, 2202, 2289], "max_el": [1345, 1391, 1432, 1434, 1488, 1490, 2202, 2283, 2298], "max_height": [2195, 2249], "max_info_col": [1345, 1391, 1488, 1490, 2202], "max_info_column": [144, 1345, 1391, 1488, 1490, 2202, 2220], "max_info_row": [144, 1345, 1391, 1488, 1490, 2202, 2216, 2219], "max_len_string_arrai": 2226, "max_level": [1443, 2199], "max_rank": [205, 778, 1191, 1252], "max_result": [1473, 2271], "max_row": [257, 269, 897, 1345, 1391, 1432, 1434, 1451, 1488, 1490, 2202, 2214, 2220, 2222, 2225, 2231, 2235, 2241, 2246, 2249, 2265, 2289, 2298], "max_seq_item": [1345, 1391, 1488, 1490, 2202, 2216, 2226, 2227, 2249, 2283], "max_seq_len": 2218, "max_spe": [3, 160, 198, 214, 249, 271, 282, 738, 882, 899, 1198, 1202, 1263, 2195, 2271], "maxim": [258, 889], "maxima": [139, 1174], "maximum": [23, 31, 74, 89, 92, 103, 104, 105, 106, 107, 124, 125, 139, 146, 164, 170, 200, 201, 207, 208, 212, 245, 257, 269, 359, 360, 378, 406, 408, 417, 465, 489, 583, 587, 588, 601, 616, 617, 625, 626, 627, 628, 629, 700, 701, 715, 716, 720, 742, 746, 774, 775, 781, 782, 787, 873, 879, 897, 1040, 1052, 1164, 1167, 1174, 1187, 1207, 1208, 1221, 1224, 1231, 1232, 1248, 1280, 1289, 1310, 1327, 1343, 1345, 1391, 1397, 1398, 1407, 1408, 1409, 1410, 1411, 1430, 1432, 1434, 1473, 1488, 1490, 2186, 2191, 2195, 2199, 2202, 2207, 2231, 2238, 2241, 2243, 2249, 2257, 2266, 2269, 2274, 2278, 2283, 2289, 2294, 2301, 2308], "maxsiz": 2271, "mayb": 2197, "maybe_booleans_to_slic": 2185, "maybe_cal": [2185, 2197], "maybe_cast_to_datetim": 2298, "maybe_coerce_valu": 2298, "maybe_convert_indic": 2197, "maybe_convert_platform": 2298, "maybe_extract_nam": [2185, 2203, 2265], "maybe_get_tz": 2210, "mb": [144, 2199], "mccarthi": 25, "mcgowan": 25, "mckinnei": [34, 35], "mdf": 15, "mdy": [16, 19], "me": [31, 182, 187, 213, 288, 296, 313, 314, 318, 639, 652, 666, 667, 673, 760, 763, 788, 940, 943, 948, 1192, 1253, 1344, 2186, 2204, 2210, 2261, 2298], "meal": 18, "mean": [2, 3, 4, 7, 10, 13, 15, 16, 18, 19, 21, 22, 23, 27, 28, 29, 31, 34, 72, 73, 74, 82, 98, 107, 117, 121, 134, 143, 169, 176, 179, 185, 192, 205, 207, 208, 209, 210, 212, 213, 225, 226, 227, 249, 259, 264, 270, 274, 276, 277, 278, 345, 447, 448, 449, 453, 454, 467, 468, 498, 509, 532, 581, 582, 583, 593, 621, 629, 693, 696, 709, 719, 778, 781, 782, 783, 784, 787, 788, 800, 801, 802, 824, 831, 865, 880, 882, 890, 894, 898, 902, 903, 904, 953, 1041, 1042, 1050, 1069, 1071, 1072, 1118, 1131, 1132, 1148, 1149, 1164, 1168, 1195, 1202, 1203, 1207, 1208, 1221, 1225, 1256, 1263, 1264, 1269, 1270, 1292, 1296, 1304, 1316, 1321, 1333, 1345, 1391, 1398, 1400, 1416, 1446, 1454, 1457, 1469, 1475, 1478, 1485, 1486, 1488, 1490, 1793, 1815, 2184, 2185, 2186, 2188, 2190, 2192, 2193, 2194, 2195, 2197, 2199, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2224, 2225, 2226, 2227, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2247, 2249, 2255, 2257, 2260, 2265, 2267, 2271, 2277, 2284, 2286, 2287, 2289, 2294, 2298, 2302], "mean_temp": 2218, "meaning": [3, 1146, 2184, 2185, 2200], "meaningless": 789, "meant": [0, 2, 16, 17, 18, 19, 1034, 1345, 1391, 1488, 1490, 2199, 2202, 2228, 2241, 2298], "measur": [26, 27, 29, 30, 31, 102, 167, 188, 189, 764, 765, 1158, 1398, 1411, 1445, 2194, 2204, 2205, 2283], "mechan": [7, 16, 19, 74, 82, 98, 143, 169, 207, 208, 209, 210, 226, 227, 264, 270, 274, 276, 277, 278, 583, 593, 621, 719, 781, 782, 783, 784, 801, 802, 880, 894, 898, 902, 903, 904, 1446, 2190, 2191, 2193, 2298, 2302], "media": [13, 2191], "median": [21, 28, 72, 73, 91, 107, 190, 581, 582, 629, 766, 1041, 1164, 1221, 1269, 1270, 1304, 1321, 1457, 1458, 2186, 2188, 2191, 2195, 2209, 2210, 2211, 2212, 2226, 2230, 2232, 2235, 2241, 2249, 2262, 2267, 2271, 2277, 2287, 2294, 2298, 2299, 2302], "medianprop": 2271, "medicin": 2199, "medium": [3, 133, 208, 708, 782, 1204, 1343, 1467, 2184, 2188, 2199, 2222], "mediumdash": 2207, "mediumdashdot": 2207, "mediumdashdotdot": 2207, "mediumshuffl": 2199, "meeseeksdev": 13, "meet": [1, 10, 11, 13, 186, 762, 1188, 1249, 2197, 2199, 2210, 2211, 2220, 2264, 2271], "megabyt": [2199, 2294], "melt": [15, 21, 29, 123, 184, 185, 698, 1444, 1453, 1454, 2166, 2196, 2214, 2217, 2235, 2241, 2246, 2255, 2265, 2271, 2277, 2283, 2294, 2298, 2302, 2307], "member": [0, 13, 34, 86, 102, 1158, 1286, 2185, 2195, 2217, 2230, 2246, 2307], "membership": [1467, 2194, 2197, 2222, 2238, 2246, 2249, 2277], "memori": [7, 24, 66, 144, 168, 267, 407, 568, 745, 811, 896, 911, 1040, 1052, 1057, 1077, 1118, 1142, 1345, 1353, 1391, 1469, 1476, 1478, 1482, 1486, 1487, 1488, 1490, 2186, 2190, 2191, 2193, 2196, 2197, 2200, 2202, 2205, 2206, 2208, 2210, 2214, 2215, 2217, 2218, 2219, 2220, 2223, 2224, 2225, 2228, 2229, 2230, 2231, 2232, 2238, 2245, 2246, 2249, 2256, 2258, 2261, 2265, 2269, 2272, 2277, 2287, 2289, 2291, 2293, 2294, 2296, 2298, 2302, 2307, 2308], "memory_map": [16, 17, 18, 19, 1469, 1486, 2199, 2203, 2232, 2235, 2282, 2287, 2289, 2298], "memory_usag": [144, 1345, 1391, 1488, 1490, 2194, 2202, 2205, 2206, 2222, 2223, 2229, 2230, 2232, 2235, 2238, 2241, 2269, 2271, 2297, 2302], "memoryerror": [2215, 2238, 2249], "mental": 34, "mention": [2, 29, 30, 160, 459, 478, 738, 1118, 2172, 2195, 2197, 2225, 2238, 2289], "menu": [6, 13, 17], "meow": 1365, "merchant": [34, 2199], "mercuri": [196, 771], "mere": 2186, "merg": [1, 2, 3, 4, 5, 11, 18, 20, 21, 22, 30, 34, 80, 94, 153, 253, 280, 362, 592, 886, 1146, 1345, 1365, 1391, 1431, 1433, 1447, 1448, 1488, 1490, 2172, 2186, 2196, 2198, 2202, 2204, 2214, 2215, 2218, 2219, 2220, 2222, 2224, 2225, 2226, 2228, 2229, 2230, 2231, 2233, 2235, 2237, 2238, 2239, 2242, 2246, 2247, 2248, 2249, 2250, 2253, 2254, 2257, 2265, 2277, 2283, 2286, 2287, 2289, 2293, 2294, 2298, 2299, 2300, 2301, 2302, 2303, 2308], "merge_asof": [80, 169, 362, 592, 1446, 1448, 2196, 2234, 2235, 2239, 2246, 2249, 2250, 2265, 2272, 2283, 2284, 2288, 2298, 2302, 2304, 2307], "merge_cel": [253, 886, 1431, 2199], "merge_ord": [169, 1446, 1447, 2196, 2232, 2241, 2277, 2307, 2308], "merged_cel": [1470, 2199], "mergeerror": [2200, 2238, 2265, 2302], "merger": 2228, "mergesort": [233, 234, 589, 807, 808, 1044, 2220], "meson": [5, 8], "mesonpy_editable_verbos": 5, "mesonpy_edtiable_verbos": 5, "mess": 2222, "messag": [0, 1, 2, 1379, 1493, 1494, 1495, 1496, 2192, 2197, 2199, 2215, 2217, 2218, 2220, 2222, 2223, 2224, 2225, 2228, 2229, 2230, 2231, 2232, 2234, 2235, 2238, 2239, 2241, 2242, 2246, 2249, 2250, 2257, 2265, 2267, 2269, 2271, 2277, 2279, 2280, 2283, 2291, 2292, 2294, 2298, 2300, 2302, 2304, 2307], "message_bodi": [16, 17, 18, 19, 2199, 2235], "messi": [15, 2192, 2208, 2218], "met": [2, 34, 2184, 2218], "meta": [13, 478, 1432, 1434, 1443, 2199, 2220, 2222, 2228, 2239, 2267, 2289], "meta_prefix": 1443, "metaclass": 2294, "metadata": [30, 227, 262, 263, 286, 390, 540, 705, 802, 1443, 2172, 2186, 2199, 2218, 2219, 2226, 2228, 2232, 2241, 2265, 2275, 2276, 2277, 2283, 2289, 2307], "metcalf": 2199, "meth": [2, 3, 16, 17, 18, 19, 2199, 2202, 2210, 2235, 2294, 2307], "meth_nam": [16, 17, 18, 19, 2199, 2235], "method": [2, 3, 4, 5, 10, 15, 16, 17, 18, 19, 21, 22, 23, 24, 26, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 42, 46, 49, 54, 62, 63, 66, 72, 73, 74, 76, 77, 78, 79, 82, 89, 90, 91, 94, 97, 99, 100, 102, 110, 116, 118, 121, 122, 124, 125, 132, 134, 135, 139, 140, 141, 143, 144, 146, 147, 153, 159, 161, 162, 163, 164, 167, 169, 170, 175, 176, 179, 180, 182, 184, 186, 190, 191, 194, 202, 203, 205, 207, 208, 209, 210, 212, 213, 214, 218, 226, 227, 228, 234, 240, 243, 245, 250, 251, 254, 258, 259, 261, 262, 264, 265, 267, 268, 270, 272, 273, 274, 276, 277, 278, 280, 281, 282, 284, 285, 286, 292, 294, 303, 304, 305, 306, 307, 308, 309, 316, 331, 332, 334, 337, 341, 342, 343, 344, 351, 354, 359, 360, 361, 362, 369, 373, 376, 378, 384, 400, 401, 414, 417, 419, 420, 423, 425, 426, 428, 436, 439, 441, 442, 443, 444, 445, 455, 457, 459, 465, 478, 489, 491, 503, 504, 509, 510, 532, 538, 540, 568, 573, 575, 581, 582, 583, 585, 586, 587, 588, 590, 591, 593, 597, 601, 602, 615, 620, 622, 632, 634, 644, 646, 655, 656, 657, 658, 659, 660, 661, 670, 682, 683, 686, 688, 692, 696, 697, 699, 700, 701, 709, 715, 716, 717, 719, 720, 724, 728, 740, 741, 742, 746, 758, 760, 762, 766, 767, 769, 776, 778, 781, 782, 783, 784, 786, 787, 788, 793, 799, 801, 802, 816, 818, 821, 824, 827, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 853, 861, 867, 873, 879, 880, 883, 884, 889, 890, 893, 894, 895, 896, 898, 900, 902, 903, 904, 905, 908, 912, 913, 914, 915, 916, 931, 938, 953, 1007, 1027, 1028, 1029, 1030, 1031, 1034, 1036, 1037, 1040, 1041, 1043, 1051, 1052, 1053, 1054, 1060, 1061, 1064, 1068, 1069, 1071, 1072, 1073, 1074, 1075, 1077, 1091, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1140, 1141, 1142, 1143, 1144, 1146, 1148, 1149, 1152, 1155, 1156, 1158, 1167, 1168, 1174, 1175, 1188, 1190, 1191, 1193, 1202, 1203, 1204, 1207, 1208, 1211, 1213, 1224, 1225, 1231, 1232, 1249, 1251, 1252, 1254, 1263, 1264, 1269, 1270, 1272, 1274, 1275, 1280, 1286, 1304, 1306, 1309, 1314, 1315, 1318, 1320, 1321, 1323, 1326, 1331, 1332, 1335, 1337, 1338, 1339, 1340, 1341, 1345, 1346, 1368, 1374, 1387, 1388, 1391, 1394, 1397, 1400, 1402, 1403, 1404, 1406, 1415, 1416, 1418, 1419, 1430, 1433, 1445, 1446, 1448, 1451, 1453, 1455, 1456, 1457, 1458, 1460, 1461, 1463, 1469, 1470, 1476, 1479, 1480, 1482, 1483, 1485, 1486, 1487, 1488, 1490, 1494, 1498, 1500, 1506, 1524, 1542, 1560, 1578, 1598, 1620, 1637, 1657, 1677, 1699, 1720, 1741, 1758, 1776, 1793, 1815, 1839, 1857, 1876, 1894, 1912, 1930, 1947, 1964, 1982, 2000, 2018, 2036, 2054, 2072, 2090, 2108, 2127, 2145, 2168, 2169, 2172, 2188, 2190, 2192, 2196, 2200, 2201, 2202, 2203, 2204, 2206, 2209, 2211, 2212, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2227, 2229, 2236, 2239, 2242, 2250, 2253, 2254, 2255, 2256, 2257, 2258, 2259, 2260, 2262, 2263, 2264, 2267, 2269, 2274, 2275, 2276, 2277, 2287, 2289, 2290, 2292, 2293, 2294, 2295, 2298, 2299, 2301, 2304, 2307, 2308, 2309], "method_nam": 26, "methodologi": 2214, "methodtyp": 1346, "metric": [187, 197, 763, 1400, 2195, 2235], "metropoli": 2199, "mg": 27, "mi": [370, 479, 481, 483, 490, 491, 492, 493, 495, 496, 497, 498, 499, 502, 503, 505, 506, 2185, 2199, 2215, 2217, 2220, 2235, 2242, 2246, 2265, 2267, 2271], "mi2": [498, 2185, 2199, 2265], "mi_2": 2271, "mi_col": [2199, 2217], "mi_idx": [2199, 2217], "micolumn": 2185, "micro": [916, 1500, 2172, 2209, 2210, 2232, 2246, 2255, 2261, 2307], "micromet": [29, 30, 31], "microsecond": [258, 532, 640, 669, 681, 889, 916, 920, 923, 927, 930, 941, 947, 953, 957, 983, 995, 1476, 1500, 1741, 1876, 2186, 2199, 2209, 2210, 2217, 2222, 2225, 2227, 2228, 2230, 2238, 2241, 2243, 2246, 2271, 2294, 2307], "microsoft": [1491, 2220, 2294], "mid": [17, 459, 1398, 1457, 2207, 2235, 2237], "middl": [2210, 2241, 2271, 2294], "middle_nam": 281, "middle_separ": 2277, "midnight": [79, 213, 276, 286, 316, 322, 345, 562, 591, 670, 677, 788, 902, 992, 1145, 1344, 1506, 1524, 1542, 1560, 1578, 1598, 1620, 1637, 1657, 1677, 1699, 1720, 1741, 1776, 1793, 1815, 1857, 1930, 1947, 1982, 2000, 2036, 2054, 2090, 2108, 2127, 2145, 2197, 2210, 2225, 2241, 2263, 2271, 2302], "midpoint": [202, 452, 776, 1135, 1190, 1251, 1314, 1331, 1411], "midrang": 2211, "midrul": [259, 890, 1433, 2277], "midx": [111, 401, 440, 633, 1396, 1406, 1414, 1416, 2185, 2232], "might": [0, 1, 2, 3, 5, 6, 10, 15, 16, 17, 18, 19, 22, 25, 39, 49, 75, 76, 92, 103, 104, 105, 106, 219, 240, 251, 584, 585, 616, 625, 626, 627, 628, 715, 716, 794, 816, 823, 884, 1032, 1231, 1232, 1475, 1482, 1498, 2184, 2186, 2188, 2190, 2192, 2194, 2195, 2197, 2199, 2207, 2210, 2218, 2219, 2227, 2228, 2235, 2250, 2265, 2266, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "migrat": [2, 14, 1487, 2196, 2261, 2307], "miindex": 2185, "mike": [1400, 2207], "mileston": 13, "milk": [420, 799], "milli": [916, 1500, 2172, 2209, 2210, 2218, 2246, 2261, 2307], "million": [2193, 2239, 2265], "millisecond": [2, 258, 532, 640, 889, 916, 920, 923, 927, 930, 941, 953, 983, 997, 1476, 1498, 1500, 1741, 1894, 2186, 2197, 2199, 2209, 2210, 2218, 2220, 2222, 2225, 2230, 2235, 2246, 2262, 2283, 2294, 2298, 2307, 2308], "millisecondloc": 2217, "mimic": [953, 2199, 2231, 2241, 2246], "mimick": 2232, "min": [2, 3, 18, 21, 23, 28, 31, 39, 49, 72, 73, 79, 104, 107, 164, 185, 200, 201, 205, 213, 245, 287, 288, 296, 312, 318, 406, 509, 556, 581, 582, 591, 626, 629, 639, 652, 665, 673, 742, 774, 775, 778, 788, 879, 916, 918, 920, 921, 927, 930, 939, 940, 941, 943, 948, 957, 970, 997, 1041, 1148, 1149, 1152, 1161, 1164, 1187, 1191, 1192, 1203, 1207, 1208, 1211, 1218, 1221, 1248, 1252, 1253, 1264, 1289, 1305, 1315, 1321, 1322, 1332, 1382, 1397, 1398, 1422, 1423, 1430, 1454, 1498, 1499, 1500, 2184, 2188, 2191, 2195, 2197, 2209, 2210, 2211, 2212, 2215, 2217, 2218, 2220, 2221, 2222, 2228, 2229, 2230, 2231, 2232, 2235, 2236, 2238, 2241, 2246, 2248, 2249, 2257, 2260, 2261, 2262, 2266, 2269, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2306, 2307], "min_color": 1415, "min_count": [200, 201, 245, 774, 775, 879, 1169, 1177, 1178, 1181, 1189, 1200, 1226, 1236, 1237, 1240, 1250, 1261, 1276, 1281, 1282, 1285, 1290, 1295, 2240, 2246, 2271, 2277, 2281, 2282, 2294], "min_height": [2195, 2249], "min_items": [256, 346, 351, 888, 2199, 2214, 2216, 2234, 2246, 2271], "min_period": [99, 102, 121, 122, 218, 622, 624, 696, 697, 793, 1073, 1074, 1155, 1158, 1193, 1213, 1215, 1254, 1314, 1333, 2186, 2195, 2212, 2222, 2230, 2232, 2238, 2240, 2241, 2265, 2277, 2279, 2283, 2298, 2302], "min_rank": [1191, 1252], "min_row": [269, 897, 1345, 1391, 1488, 1490, 2202, 2249, 2250, 2289], "min_val": 2271, "min_vers": [2199, 2203, 2212, 2298], "mind": [16, 17, 19, 34, 2185, 2194, 2207, 2216, 2228], "mindex_ex": 2199, "minecraft": 2249, "mini": 2207, "miniconda": 21, "miniforg": 5, "minim": [2, 13, 22, 1498, 2192, 2205, 2211, 2277], "minima": [140, 1175], "minimum": [2, 5, 22, 92, 94, 99, 102, 103, 104, 105, 106, 107, 121, 122, 140, 164, 170, 200, 201, 218, 245, 256, 257, 269, 346, 359, 360, 406, 408, 587, 588, 616, 622, 624, 625, 626, 627, 628, 629, 696, 697, 715, 716, 742, 746, 774, 775, 793, 822, 847, 852, 860, 874, 879, 888, 1155, 1158, 1164, 1166, 1175, 1187, 1193, 1207, 1208, 1213, 1215, 1221, 1223, 1231, 1232, 1248, 1254, 1289, 1309, 1313, 1316, 1317, 1318, 1320, 1326, 1330, 1333, 1334, 1335, 1337, 1343, 1397, 1398, 1407, 1408, 1409, 1410, 1411, 1430, 2186, 2195, 2199, 2201, 2203, 2212, 2214, 2228, 2231, 2233, 2240, 2243, 2250, 2257, 2266, 2269, 2274, 2278, 2287, 2292, 2293, 2308], "minor": [5, 13, 14, 877, 2199, 2214, 2215, 2216, 2219, 2221, 2222, 2223, 2224, 2226, 2227, 2228, 2229, 2231, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2241, 2242, 2243, 2245, 2259, 2260, 2265, 2283, 2294, 2310], "minor_axi": [2197, 2199, 2214, 2216, 2218, 2219, 2222, 2230, 2235, 2241], "minor_x": [2220, 2232], "minu": [874, 2199, 2210, 2274], "minuend": 2302, "minut": [0, 4, 6, 13, 16, 17, 18, 19, 21, 31, 79, 213, 510, 522, 530, 532, 540, 552, 591, 640, 788, 916, 920, 923, 927, 930, 941, 953, 957, 970, 983, 995, 997, 1192, 1253, 1498, 1500, 1502, 1741, 2172, 2186, 2196, 2209, 2210, 2216, 2218, 2221, 2222, 2225, 2228, 2230, 2231, 2232, 2241, 2246, 2271, 2298, 2307], "mirror": [14, 1477, 2232, 2271, 2283, 2289, 2294], "misalign": [163, 284, 741, 911, 912, 2215, 2221, 2242, 2248, 2283], "misc": 2263, "miscellan": [22, 2196, 2257], "miscount": 2249, "misinterpret": [2185, 2221, 2283], "mislead": [1280, 2246, 2249, 2271, 2298], "mismatch": [69, 109, 118, 129, 132, 135, 159, 161, 171, 173, 175, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 434, 1358, 2220, 2221, 2222, 2224, 2226, 2232, 2239, 2241, 2246, 2265, 2272, 2277, 2283, 2289, 2295, 2298, 2302, 2307], "misplac": 2283, "miss": [3, 13, 20, 23, 24, 25, 28, 32, 34, 35, 39, 69, 74, 79, 80, 87, 89, 92, 95, 97, 100, 102, 109, 111, 114, 117, 121, 124, 125, 129, 146, 148, 149, 171, 172, 173, 177, 178, 181, 185, 199, 204, 206, 207, 215, 216, 217, 220, 221, 222, 223, 230, 241, 244, 251, 253, 256, 259, 261, 267, 272, 275, 279, 343, 344, 351, 373, 376, 378, 380, 402, 413, 441, 442, 443, 444, 449, 462, 465, 467, 489, 490, 573, 578, 583, 591, 592, 598, 601, 616, 617, 620, 622, 624, 631, 636, 693, 694, 696, 699, 700, 701, 706, 707, 710, 720, 725, 726, 734, 739, 740, 747, 749, 753, 755, 756, 759, 773, 777, 780, 781, 790, 791, 792, 795, 796, 797, 798, 804, 821, 823, 832, 850, 878, 884, 886, 888, 890, 893, 896, 901, 1027, 1028, 1029, 1030, 1042, 1043, 1050, 1051, 1052, 1056, 1063, 1064, 1076, 1121, 1123, 1124, 1128, 1131, 1153, 1156, 1157, 1158, 1166, 1167, 1179, 1180, 1182, 1185, 1195, 1196, 1199, 1205, 1212, 1213, 1214, 1215, 1223, 1224, 1238, 1239, 1241, 1246, 1256, 1257, 1260, 1267, 1271, 1272, 1273, 1275, 1283, 1284, 1286, 1288, 1292, 1294, 1297, 1298, 1299, 1306, 1308, 1323, 1325, 1344, 1345, 1387, 1388, 1391, 1394, 1403, 1404, 1407, 1408, 1409, 1410, 1411, 1415, 1419, 1431, 1441, 1442, 1449, 1450, 1454, 1469, 1470, 1476, 1478, 1485, 1486, 1488, 1490, 1493, 1498, 2167, 2172, 2191, 2195, 2196, 2198, 2200, 2202, 2203, 2205, 2206, 2207, 2208, 2209, 2210, 2212, 2214, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2228, 2229, 2230, 2232, 2233, 2234, 2235, 2237, 2239, 2240, 2241, 2242, 2245, 2251, 2264, 2267, 2279, 2284, 2304, 2308, 2309, 2310], "misspel": 2188, "mistak": [3, 32, 2197, 2230], "mistyp": 2241, "misus": 2235, "mitig": 2235, "mix": [107, 115, 141, 238, 256, 261, 274, 282, 393, 503, 629, 717, 836, 837, 838, 839, 840, 841, 842, 843, 844, 888, 953, 1078, 1164, 1221, 1354, 1469, 1486, 1498, 2186, 2191, 2195, 2197, 2200, 2210, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2225, 2226, 2227, 2228, 2229, 2230, 2232, 2235, 2236, 2238, 2241, 2248, 2249, 2253, 2254, 2265, 2266, 2267, 2271, 2272, 2273, 2277, 2278, 2280, 2283, 2287, 2289, 2292, 2294, 2298, 2307, 2308], "mixed_df": 2199, "mixin": 10, "mixtur": [1469, 1486, 2186, 2199, 2204, 2208, 2210, 2231, 2265], "mkdir": [251, 884, 2205], "mklbl": [2185, 2220], "mlk": [2210, 2231], "mm": [341, 983, 1397, 1430, 1469, 1486, 2199, 2215, 2249, 2261, 2289, 2298], "mmddyy10": 16, "mmmmmmmmffffff": [190, 193, 766, 768], "mmmmmmnnn": 983, "mmyi": 2216, "mnc": 2199, "mnop": 2197, "mo": [1741, 2210], "mobile_country_cod": 2199, "mock": 2, "mod": [69, 109, 129, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 791, 2199, 2209, 2218, 2231, 2289, 2294], "mod_wsgi": 2246, "mode": [16, 17, 18, 19, 74, 77, 82, 98, 143, 144, 148, 149, 169, 177, 178, 207, 208, 209, 210, 226, 227, 251, 253, 256, 258, 260, 264, 267, 270, 274, 276, 277, 278, 341, 583, 593, 621, 719, 725, 726, 755, 756, 781, 782, 783, 784, 801, 802, 880, 884, 886, 888, 889, 892, 894, 896, 898, 902, 903, 904, 915, 1118, 1345, 1350, 1376, 1380, 1381, 1391, 1394, 1403, 1431, 1446, 1474, 1484, 1488, 1490, 2188, 2190, 2193, 2194, 2197, 2199, 2202, 2208, 2214, 2218, 2221, 2222, 2223, 2228, 2232, 2235, 2237, 2238, 2241, 2246, 2265, 2269, 2271, 2272, 2277, 2278, 2279, 2280, 2283, 2285, 2294, 2298, 2302, 2304, 2306, 2307], "model": [34, 2186, 2191, 2195, 2199, 2204, 2207, 2227], "modern": [2, 1475, 2231], "modf": 2249, "modif": [34, 98, 621, 1067, 2190, 2222, 2239, 2283, 2294, 2298], "modifi": [1, 2, 4, 5, 81, 89, 98, 112, 114, 120, 124, 125, 142, 151, 203, 209, 210, 214, 228, 233, 280, 370, 418, 421, 483, 601, 621, 700, 701, 784, 789, 828, 829, 893, 907, 1040, 1042, 1052, 1272, 1275, 1286, 1387, 1464, 1476, 2186, 2190, 2193, 2197, 2199, 2204, 2218, 2220, 2222, 2225, 2227, 2230, 2238, 2241, 2249, 2263, 2267, 2271, 2277, 2278, 2285, 2294, 2298, 2302], "modul": [2, 3, 8, 10, 15, 17, 230, 250, 251, 259, 272, 804, 823, 824, 828, 829, 831, 832, 850, 857, 883, 884, 890, 1345, 1391, 1487, 1488, 1490, 1492, 1498, 2172, 2178, 2193, 2199, 2202, 2203, 2207, 2211, 2212, 2217, 2218, 2224, 2225, 2228, 2229, 2230, 2232, 2238, 2239, 2241, 2246, 2249, 2250, 2265, 2277, 2289, 2294, 2298, 2302, 2307], "modulenotfounderror": [2199, 2203, 2207, 2212, 2294, 2298, 2307], "modulo": [69, 109, 129, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 747, 791, 2186, 2217, 2230, 2241, 2274], "mofd": 19, "molass": 2199, "moment": [1, 30, 462, 1128, 1298, 1299, 1300, 1301, 1302, 1303, 1317, 1334, 2186, 2212, 2220, 2238], "mon": [517, 1145, 1400, 1657, 1677, 1699, 1720, 2195, 2210, 2217], "mondai": [31, 291, 292, 294, 332, 513, 515, 532, 535, 543, 545, 565, 643, 644, 646, 688, 984, 1024, 1741, 1793, 1815, 1857, 2090, 2108, 2199, 2207, 2210, 2231], "monitor": [0, 2], "monkei": [3, 136, 198, 210, 214, 248, 249, 271, 282, 712, 784, 831, 881, 882, 899, 1146, 1198, 1202, 1263, 2195], "monoton": [121, 146, 207, 208, 354, 362, 382, 420, 426, 466, 468, 568, 696, 720, 721, 722, 781, 782, 799, 1132, 1234, 1235, 2186, 2197, 2210, 2212, 2220, 2221, 2222, 2223, 2225, 2229, 2231, 2232, 2235, 2236, 2238, 2241, 2246, 2249, 2257, 2265, 2266, 2277, 2283, 2286, 2289, 2291, 2298, 2302, 2307], "monotonic_index": 382, "monoxid": 30, "month": [0, 13, 15, 16, 17, 19, 31, 127, 213, 228, 286, 288, 296, 304, 305, 314, 318, 423, 510, 512, 513, 514, 515, 516, 517, 518, 519, 531, 532, 535, 540, 547, 548, 549, 552, 561, 586, 639, 649, 650, 651, 652, 656, 657, 667, 673, 676, 703, 788, 940, 943, 948, 953, 960, 967, 968, 976, 977, 990, 995, 1005, 1008, 1192, 1253, 1344, 1497, 1498, 1506, 1510, 1511, 1524, 1528, 1529, 1542, 1546, 1547, 1560, 1564, 1565, 1584, 1585, 1605, 1606, 1620, 1624, 1625, 1637, 1641, 1642, 1663, 1664, 1684, 1685, 1699, 1705, 1706, 1720, 1726, 1727, 1741, 1745, 1746, 1763, 1764, 1780, 1781, 1793, 1799, 1800, 1815, 1821, 1822, 1844, 1845, 1857, 1861, 1862, 1881, 1882, 1899, 1900, 1917, 1918, 1930, 1934, 1935, 1947, 1951, 1952, 1969, 1970, 1982, 1986, 1987, 2000, 2004, 2005, 2023, 2024, 2036, 2041, 2042, 2054, 2059, 2060, 2077, 2078, 2090, 2094, 2095, 2108, 2112, 2113, 2127, 2131, 2132, 2145, 2149, 2150, 2195, 2199, 2210, 2216, 2218, 2220, 2222, 2223, 2230, 2231, 2241, 2249, 2261, 2271, 2277, 2283, 2289, 2298, 2302, 2307], "month_day_nano_interv": [2199, 2307], "month_nam": [2241, 2302], "month_start": 423, "monthbegin": [16, 17, 19, 2172, 2210, 2230, 2307], "monthend": [31, 538, 1344, 2172, 2195, 2210, 2220, 2221, 2222, 2246, 2307], "monthli": [13, 31, 513, 515, 535, 1857, 2090, 2108, 2210, 2218, 2228, 2263], "monthly_max": 31, "monthrang": 517, "months_between": [16, 17, 19], "montserrat": [754, 757, 1242, 1243], "montvila": 32, "moos": 65, "moral": 2248, "more": [0, 1, 2, 3, 4, 5, 10, 13, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 35, 39, 46, 49, 56, 62, 63, 72, 73, 74, 75, 77, 79, 82, 83, 89, 91, 98, 102, 107, 111, 114, 115, 120, 123, 124, 125, 134, 141, 144, 146, 154, 160, 167, 168, 176, 179, 184, 185, 186, 191, 192, 194, 207, 209, 213, 214, 218, 223, 228, 233, 234, 240, 241, 243, 251, 253, 256, 258, 259, 260, 262, 263, 265, 268, 272, 273, 279, 286, 298, 337, 339, 341, 342, 346, 351, 352, 354, 366, 376, 390, 405, 440, 445, 459, 478, 551, 573, 578, 581, 582, 583, 584, 586, 589, 591, 593, 594, 601, 615, 621, 629, 631, 636, 698, 699, 700, 701, 706, 709, 717, 718, 720, 738, 740, 747, 748, 749, 762, 767, 769, 773, 777, 780, 781, 783, 788, 790, 791, 792, 793, 795, 796, 797, 798, 807, 808, 816, 821, 828, 831, 836, 837, 838, 839, 840, 841, 842, 843, 844, 851, 862, 866, 878, 884, 886, 888, 889, 890, 892, 895, 900, 901, 906, 938, 999, 1031, 1039, 1040, 1052, 1090, 1111, 1117, 1121, 1123, 1124, 1125, 1145, 1148, 1149, 1152, 1158, 1164, 1167, 1168, 1187, 1188, 1192, 1193, 1194, 1203, 1207, 1208, 1211, 1221, 1224, 1225, 1248, 1249, 1253, 1254, 1255, 1264, 1269, 1270, 1289, 1304, 1321, 1342, 1343, 1344, 1345, 1349, 1350, 1380, 1381, 1387, 1388, 1389, 1390, 1391, 1393, 1394, 1395, 1399, 1400, 1405, 1408, 1409, 1410, 1413, 1417, 1418, 1419, 1421, 1424, 1431, 1433, 1444, 1445, 1452, 1453, 1454, 1458, 1463, 1468, 1469, 1470, 1471, 1473, 1474, 1475, 1476, 1478, 1479, 1482, 1485, 1486, 1487, 1488, 1490, 1497, 1498, 1793, 1815, 2164, 2165, 2166, 2167, 2169, 2177, 2180, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2196, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2220, 2221, 2222, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2238, 2239, 2241, 2242, 2243, 2245, 2246, 2247, 2248, 2249, 2250, 2254, 2256, 2260, 2261, 2263, 2265, 2271, 2275, 2277, 2278, 2283, 2289, 2294, 2298, 2302, 2304, 2308], "moreov": [25, 2277], "morn": [213, 788], "most": [2, 3, 15, 16, 17, 18, 19, 21, 22, 24, 30, 34, 37, 107, 169, 172, 184, 207, 209, 240, 241, 279, 281, 362, 365, 383, 418, 436, 481, 629, 748, 781, 811, 816, 908, 916, 953, 1000, 1042, 1056, 1069, 1071, 1072, 1076, 1117, 1118, 1119, 1142, 1146, 1164, 1204, 1221, 1346, 1352, 1355, 1356, 1359, 1362, 1363, 1365, 1367, 1369, 1370, 1371, 1372, 1373, 1384, 1385, 1387, 1392, 1394, 1421, 1446, 1453, 1459, 1460, 1464, 1494, 1498, 2167, 2173, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2207, 2208, 2210, 2211, 2212, 2214, 2216, 2218, 2220, 2229, 2230, 2231, 2232, 2235, 2238, 2239, 2241, 2242, 2246, 2249, 2257, 2261, 2265, 2267, 2271, 2274, 2283, 2292, 2294, 2298, 2299, 2302, 2307], "mostli": [2, 1118, 1140, 1141, 1494, 2186, 2193, 2197, 2199, 2202, 2206, 2249, 2307], "motiv": [2219, 2241, 2255], "mount": 8, "mous": [126, 155, 156, 702, 730, 731, 822, 823, 847, 860, 1165, 1180, 1199, 1205, 1222, 1224, 1239, 1260, 1267, 1284], "move": [2, 12, 34, 121, 207, 208, 218, 278, 286, 288, 296, 318, 331, 639, 652, 673, 686, 696, 781, 782, 793, 874, 904, 940, 943, 948, 957, 970, 997, 1014, 1193, 1254, 1741, 2185, 2199, 2200, 2210, 2212, 2218, 2220, 2230, 2232, 2238, 2261, 2265, 2307], "movement": 2294, "mozilla": 2199, "mpl": 2207, "mpl_style": [2216, 2230, 2238], "mr": [23, 25, 32], "mrecord": [2283, 2298], "msft": [1447, 2200, 2232], "msg": [2, 16, 17, 18, 19, 2184, 2188, 2192, 2193, 2197, 2199, 2203, 2205, 2208, 2212, 2218, 2235, 2246, 2249, 2298], "msgpack": [2196, 2218, 2219, 2228, 2231, 2235], "mssql": 2199, "mstd": 2211, "mt": [176, 179], "mtime": [251, 258, 265, 268, 272, 884, 889, 895, 2199], "much": [3, 15, 16, 17, 19, 28, 34, 77, 162, 212, 259, 262, 263, 787, 890, 1152, 1187, 1211, 1248, 1289, 1305, 1322, 1469, 1486, 2185, 2186, 2191, 2193, 2195, 2197, 2198, 2199, 2205, 2206, 2212, 2214, 2217, 2218, 2219, 2220, 2222, 2227, 2238, 2241, 2246, 2249, 2261, 2274, 2293], "mul": [69, 109, 129, 171, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 632, 792, 2186, 2218, 2225, 2228, 2235, 2250, 2271], "multi": [30, 111, 120, 123, 167, 241, 267, 281, 354, 417, 440, 478, 633, 718, 789, 896, 1445, 2185, 2186, 2192, 2193, 2197, 2199, 2204, 2211, 2213, 2215, 2216, 2218, 2221, 2222, 2225, 2226, 2228, 2230, 2231, 2232, 2234, 2235, 2238, 2241, 2249, 2257, 2265, 2271, 2281, 2293, 2294, 2298, 2302, 2307, 2308], "multi_spars": [1345, 1391, 1488, 1490, 2185, 2202], "multicol": 1433, "multicol1": 241, "multicol2": 241, "multicol_align": [259, 890, 1345, 1391, 1433, 1488, 1490, 2202, 2298], "multicollinear": [2186, 2227], "multicolumn": [259, 890, 1345, 1391, 1433, 1488, 1490, 2202, 2235, 2239, 2246, 2298], "multicolumn_format": [259, 890, 2298], "multicor": [2, 2289], "multidimension": [203, 1463, 2271], "multiindex": [3, 16, 19, 30, 69, 74, 96, 109, 111, 113, 118, 129, 132, 134, 135, 146, 151, 153, 159, 160, 161, 164, 167, 169, 170, 171, 173, 175, 184, 185, 199, 204, 206, 207, 209, 210, 213, 214, 215, 216, 217, 220, 221, 222, 228, 233, 241, 244, 245, 247, 251, 253, 257, 259, 267, 269, 275, 277, 278, 279, 281, 285, 354, 370, 371, 381, 401, 405, 406, 408, 409, 417, 418, 421, 425, 434, 435, 440, 578, 583, 619, 631, 633, 635, 694, 698, 706, 707, 709, 710, 720, 734, 738, 739, 742, 746, 747, 749, 753, 773, 777, 780, 781, 783, 784, 788, 789, 790, 791, 792, 795, 796, 797, 807, 815, 829, 853, 861, 862, 866, 878, 879, 880, 884, 886, 890, 896, 901, 903, 904, 906, 913, 1146, 1154, 1180, 1185, 1195, 1198, 1199, 1204, 1205, 1239, 1246, 1256, 1260, 1267, 1280, 1284, 1288, 1292, 1298, 1299, 1306, 1308, 1323, 1325, 1345, 1358, 1362, 1384, 1391, 1394, 1396, 1400, 1404, 1406, 1414, 1415, 1416, 1419, 1421, 1422, 1431, 1433, 1445, 1446, 1453, 1454, 1469, 1470, 1475, 1476, 1482, 1483, 1484, 1486, 1488, 1490, 2172, 2184, 2188, 2191, 2196, 2202, 2204, 2206, 2207, 2208, 2210, 2211, 2212, 2215, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2229, 2230, 2233, 2234, 2236, 2237, 2239, 2242, 2243, 2250, 2253, 2254, 2255, 2256, 2257, 2262, 2266, 2267, 2272, 2273, 2274, 2275, 2276, 2278, 2285, 2287, 2290, 2291, 2292, 2293, 2295, 2296, 2299, 2300, 2303, 2304], "multilevel": [233, 807, 2238], "multilin": [829, 1387], "multindex": [2217, 2218], "multipl": [2, 3, 5, 12, 15, 16, 17, 18, 19, 21, 22, 25, 28, 29, 32, 33, 34, 69, 81, 107, 109, 110, 118, 120, 123, 129, 132, 135, 153, 159, 160, 161, 171, 172, 173, 175, 176, 179, 184, 185, 197, 199, 204, 206, 212, 214, 215, 216, 217, 220, 221, 222, 230, 234, 241, 244, 253, 255, 263, 267, 275, 303, 341, 359, 360, 381, 487, 513, 515, 535, 587, 588, 629, 632, 655, 715, 716, 738, 748, 749, 787, 792, 804, 828, 829, 831, 877, 886, 896, 957, 970, 997, 1033, 1145, 1146, 1148, 1149, 1164, 1180, 1185, 1195, 1196, 1199, 1205, 1221, 1231, 1232, 1239, 1246, 1256, 1257, 1260, 1267, 1284, 1288, 1292, 1344, 1345, 1391, 1395, 1397, 1403, 1406, 1407, 1413, 1430, 1431, 1433, 1453, 1454, 1469, 1470, 1471, 1473, 1478, 1486, 1488, 1490, 1497, 1498, 2166, 2184, 2185, 2190, 2191, 2193, 2197, 2202, 2207, 2212, 2214, 2215, 2218, 2219, 2220, 2222, 2224, 2225, 2226, 2227, 2228, 2230, 2232, 2233, 2234, 2235, 2237, 2238, 2241, 2242, 2243, 2246, 2247, 2250, 2253, 2254, 2255, 2257, 2259, 2261, 2263, 2264, 2265, 2266, 2269, 2277, 2283, 2287, 2289, 2294, 2298, 2299, 2302, 2307, 2308], "multipli": [27, 69, 109, 110, 129, 171, 173, 182, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 749, 760, 792, 2209, 2210, 2218, 2228, 2232, 2238, 2241, 2246, 2266, 2271, 2289, 2294, 2302], "multirow": [259, 890, 1345, 1391, 1433, 1488, 1490, 2202, 2235, 2289, 2298], "multirow_align": [1345, 1391, 1433, 1488, 1490, 2202, 2298], "multiset": 2197, "multithread": [2, 1469, 1478, 1486, 2199], "multivalu": 2242, "multivari": [1455, 2211], "mung": [34, 35, 2196], "musicml": 2199, "must": [3, 4, 9, 10, 12, 13, 16, 19, 22, 25, 34, 37, 41, 44, 46, 53, 58, 60, 72, 73, 74, 81, 89, 90, 110, 113, 118, 119, 121, 123, 124, 125, 132, 135, 145, 146, 147, 153, 159, 161, 163, 169, 175, 185, 192, 196, 203, 207, 208, 209, 212, 213, 218, 223, 224, 230, 234, 237, 241, 252, 255, 256, 257, 259, 263, 268, 269, 273, 277, 278, 280, 284, 288, 296, 318, 337, 345, 346, 362, 370, 378, 401, 417, 418, 419, 420, 421, 445, 462, 465, 478, 482, 483, 485, 486, 487, 488, 489, 502, 532, 573, 581, 582, 583, 601, 602, 603, 608, 611, 613, 635, 639, 652, 673, 695, 696, 700, 701, 720, 741, 771, 781, 782, 783, 787, 788, 793, 798, 799, 804, 815, 821, 824, 857, 885, 888, 890, 900, 903, 904, 911, 912, 916, 940, 943, 948, 1031, 1060, 1068, 1069, 1071, 1072, 1076, 1091, 1112, 1117, 1118, 1128, 1140, 1141, 1145, 1148, 1149, 1152, 1167, 1178, 1179, 1181, 1193, 1194, 1199, 1200, 1203, 1205, 1207, 1208, 1211, 1224, 1237, 1238, 1240, 1254, 1255, 1260, 1261, 1264, 1267, 1269, 1270, 1280, 1300, 1302, 1304, 1305, 1310, 1311, 1312, 1313, 1318, 1319, 1320, 1321, 1322, 1327, 1328, 1329, 1330, 1335, 1336, 1337, 1342, 1343, 1344, 1346, 1369, 1386, 1387, 1393, 1397, 1398, 1400, 1403, 1404, 1416, 1422, 1423, 1430, 1446, 1447, 1448, 1452, 1454, 1457, 1459, 1464, 1467, 1469, 1470, 1473, 1475, 1476, 1479, 1480, 1485, 1486, 1487, 1494, 1495, 1496, 1497, 1498, 1500, 2167, 2185, 2186, 2188, 2191, 2192, 2193, 2195, 2197, 2199, 2200, 2201, 2203, 2204, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2217, 2218, 2220, 2222, 2223, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2271, 2277, 2280, 2283, 2289, 2298, 2302], "mutabl": [63, 505, 2232, 2235, 2283], "mutablemap": [252, 885], "mutat": [15, 72, 73, 77, 120, 227, 273, 581, 582, 586, 802, 900, 1148, 1149, 1152, 1168, 1203, 1207, 1208, 1211, 1225, 1264, 1269, 1270, 1304, 1321, 1387, 2190, 2191, 2195, 2196, 2218, 2222, 2223, 2225, 2226, 2233, 2235, 2246, 2257, 2271, 2275, 2277, 2289, 2298, 2307], "mutual": [126, 702, 2232], "mv": [176, 179], "mvb": 2199, "mx2xn": 2211, "mxn": 2211, "my": [3, 10, 23, 24, 186, 255, 402, 762, 1188, 1249, 1351, 1376, 1394, 2207], "my_bool1": 255, "my_bool2": 255, "my_compression_dict": [1469, 1476, 1479, 1480, 1485, 1486, 1487], "my_css": 2207, "my_dat": 255, "my_dataset": 255, "my_file_path": 2, "my_float64": 255, "my_func": 2207, "my_func2": 2207, "my_funct": 3, "my_int64": 255, "my_nam": 783, "my_nan_rep": 2215, "my_path": [1437, 1438, 1439, 1440], "my_plot_styl": 2211, "my_row_class": 1394, "my_str": 255, "my_tabl": 255, "mybool": 2199, "mydat": 2283, "mydatabas": 2199, "mydf2": 15, "mydict": [141, 717], "mydsn": 2199, "myextens": 1070, "myextensionarrai": [10, 1035], "myextensiondtyp": 1070, "myextensionel": 10, "myfil": [337, 339], "myhtml": 2207, "myint": 2199, "myla": 101, "mymean": 2186, "mypi": [2, 2277, 2283, 2289, 2294, 2298, 2302], "mysql": [2, 18, 22, 267, 896, 2199, 2215, 2220, 2227, 2232, 2241, 2247, 2271, 2298], "mysqldb": 2199, "mystyl": [1405, 2207], "mytabl": 871, "mytext": 2199, "myvalnam": [167, 1445], "myvarnam": [167, 1445], "m\u00b3": [29, 31], "n": [1, 2, 3, 9, 15, 19, 22, 24, 31, 34, 46, 63, 68, 82, 102, 112, 114, 115, 121, 123, 136, 150, 155, 156, 176, 179, 192, 205, 223, 224, 225, 232, 233, 234, 242, 248, 251, 258, 264, 268, 270, 271, 273, 276, 283, 285, 286, 287, 288, 289, 290, 291, 293, 295, 296, 299, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 323, 324, 329, 330, 331, 333, 334, 336, 378, 380, 402, 420, 423, 465, 489, 519, 532, 549, 563, 573, 575, 577, 590, 593, 597, 624, 634, 636, 637, 639, 640, 641, 642, 643, 645, 647, 648, 649, 650, 651, 652, 654, 655, 656, 657, 658, 659, 660, 661, 663, 664, 665, 666, 667, 668, 669, 670, 671, 673, 674, 675, 678, 679, 681, 682, 683, 684, 685, 686, 689, 696, 698, 712, 730, 731, 754, 757, 778, 798, 799, 800, 806, 807, 808, 817, 836, 837, 838, 839, 840, 841, 842, 843, 844, 849, 857, 862, 863, 864, 866, 868, 871, 881, 884, 889, 893, 899, 900, 902, 905, 909, 910, 913, 916, 917, 918, 920, 921, 923, 927, 930, 931, 932, 933, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 951, 953, 954, 970, 1017, 1061, 1085, 1087, 1088, 1113, 1114, 1118, 1122, 1144, 1145, 1146, 1147, 1158, 1172, 1183, 1191, 1194, 1198, 1201, 1206, 1215, 1229, 1242, 1243, 1244, 1252, 1255, 1259, 1262, 1268, 1308, 1316, 1318, 1320, 1323, 1325, 1333, 1335, 1337, 1344, 1372, 1393, 1394, 1434, 1441, 1442, 1449, 1450, 1463, 1469, 1470, 1475, 1476, 1482, 1483, 1484, 1486, 1497, 1498, 1500, 1506, 1508, 1509, 1524, 1526, 1527, 1542, 1544, 1545, 1560, 1562, 1563, 1578, 1581, 1583, 1598, 1602, 1604, 1620, 1622, 1623, 1637, 1639, 1640, 1657, 1660, 1662, 1677, 1681, 1683, 1699, 1702, 1704, 1720, 1723, 1725, 1741, 1743, 1744, 1758, 1761, 1776, 1778, 1779, 1793, 1795, 1798, 1815, 1817, 1820, 1839, 1842, 1857, 1859, 1860, 1876, 1879, 1894, 1897, 1912, 1915, 1930, 1932, 1933, 1947, 1949, 1950, 1964, 1967, 1982, 1984, 1985, 2000, 2002, 2003, 2018, 2021, 2036, 2039, 2040, 2054, 2057, 2058, 2075, 2090, 2092, 2093, 2108, 2110, 2111, 2127, 2129, 2130, 2145, 2147, 2148, 2163, 2167, 2184, 2185, 2186, 2188, 2191, 2192, 2193, 2194, 2195, 2197, 2201, 2203, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2213, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2226, 2227, 2228, 2229, 2231, 2232, 2235, 2238, 2239, 2241, 2246, 2248, 2249, 2261, 2264, 2265, 2269, 2271, 2277, 2278, 2279, 2283, 2285, 2288, 2289, 2290, 2294, 2295, 2298, 2302, 2307], "n0": [1434, 2199, 2232], "n1": [130, 897, 1434, 1469, 1486, 2199, 2235, 2246, 2289], "n10": [2199, 2294], "n12": 2199, "n1977": 2199, "n2": [130, 897, 2199, 2201, 2232, 2289], "n2000": 2199, "n20090101": 2199, "n20090102": 2199, "n20090103": 2199, "n2020": 2199, "n3": [2199, 2232, 2235], "n4": [2199, 2232, 2246], "n5": 2199, "n6": 2232, "n7": 2199, "n8": 2199, "n9": 2199, "n_remov": 2194, "na": [3, 15, 75, 76, 87, 89, 92, 97, 99, 101, 102, 103, 104, 105, 106, 107, 114, 124, 125, 128, 131, 134, 139, 140, 148, 149, 155, 156, 158, 162, 163, 164, 165, 166, 170, 177, 178, 180, 181, 182, 200, 201, 207, 212, 225, 232, 234, 242, 245, 280, 281, 283, 284, 321, 343, 344, 345, 359, 360, 363, 371, 377, 402, 405, 406, 408, 413, 414, 428, 430, 436, 441, 442, 443, 444, 476, 584, 585, 587, 588, 589, 598, 599, 601, 616, 620, 623, 625, 626, 627, 628, 629, 636, 662, 700, 701, 704, 709, 715, 716, 725, 726, 730, 731, 733, 741, 742, 743, 744, 746, 755, 756, 758, 759, 760, 774, 775, 781, 787, 800, 806, 808, 817, 818, 821, 823, 827, 832, 850, 867, 879, 907, 908, 910, 912, 1027, 1028, 1029, 1030, 1032, 1040, 1043, 1047, 1051, 1052, 1063, 1064, 1068, 1076, 1118, 1119, 1120, 1121, 1123, 1124, 1139, 1143, 1155, 1158, 1164, 1167, 1169, 1174, 1175, 1177, 1178, 1181, 1189, 1191, 1198, 1200, 1204, 1221, 1224, 1226, 1231, 1232, 1236, 1237, 1240, 1250, 1252, 1259, 1261, 1274, 1276, 1281, 1290, 1295, 1343, 1345, 1359, 1389, 1391, 1403, 1404, 1415, 1441, 1442, 1449, 1450, 1467, 1469, 1470, 1475, 1476, 1478, 1486, 1487, 1488, 1490, 2163, 2167, 2172, 2175, 2184, 2186, 2196, 2197, 2200, 2202, 2203, 2206, 2208, 2213, 2214, 2215, 2217, 2219, 2220, 2221, 2224, 2240, 2241, 2242, 2249, 2252, 2257, 2261, 2262, 2263, 2264, 2267, 2274, 2276, 2277, 2283, 2285, 2286, 2288, 2290, 2294, 2295, 2297, 2298, 2300, 2302, 2304, 2306, 2307], "na_act": [56, 78, 162, 405, 740, 2271, 2277, 2294, 2302, 2308], "na_bottom": [205, 778], "na_filt": [16, 17, 18, 19, 1469, 1470, 1486, 2199, 2203, 2232, 2235, 2239, 2246, 2298], "na_last": 2228, "na_opt": [205, 778, 1191, 1252, 2230, 2241, 2246, 2264, 2289, 2302], "na_posit": [233, 234, 427, 502, 807, 808, 1044, 2186, 2220, 2228, 2235, 2246, 2277, 2302], "na_rep": [251, 253, 257, 259, 269, 272, 821, 884, 886, 890, 897, 1345, 1391, 1394, 1403, 1404, 1431, 1488, 1490, 2199, 2202, 2207, 2208, 2230, 2232, 2241, 2265, 2266, 2277, 2283, 2298], "na_sentinel": [2248, 2249, 2273, 2294, 2295, 2298], "na_tupl": [476, 1139, 2241], "na_valu": [16, 17, 18, 19, 230, 261, 339, 804, 893, 914, 1043, 1056, 1063, 1064, 1068, 1142, 1469, 1470, 1475, 1486, 1487, 2184, 2199, 2203, 2214, 2217, 2218, 2229, 2232, 2234, 2235, 2241, 2246, 2263, 2265, 2271, 2294, 2298, 2302], "nai": 1365, "naiv": [82, 277, 278, 329, 330, 331, 593, 684, 685, 686, 903, 904, 956, 1013, 1014, 1085, 1088, 1122, 1344, 1345, 1391, 1433, 1488, 1490, 1498, 2167, 2199, 2202, 2210, 2222, 2230, 2231, 2241, 2242, 2243, 2246, 2248, 2249, 2250, 2261, 2265, 2267, 2273, 2277, 2283, 2289, 2295, 2298, 2307], "name": [1, 2, 3, 5, 6, 8, 9, 10, 12, 15, 16, 17, 18, 19, 23, 24, 25, 27, 28, 29, 30, 31, 32, 34, 49, 65, 72, 73, 74, 77, 81, 82, 91, 96, 103, 104, 105, 106, 107, 110, 111, 113, 114, 125, 126, 130, 131, 134, 141, 142, 146, 147, 148, 149, 150, 151, 152, 153, 160, 164, 167, 168, 169, 170, 177, 178, 179, 182, 184, 185, 186, 188, 189, 190, 193, 195, 197, 198, 202, 203, 207, 209, 210, 212, 213, 214, 218, 219, 223, 226, 230, 233, 234, 240, 241, 245, 247, 249, 251, 252, 253, 255, 256, 257, 258, 259, 263, 266, 267, 268, 269, 271, 272, 273, 274, 276, 279, 280, 281, 282, 285, 286, 289, 291, 292, 294, 306, 307, 308, 309, 314, 316, 325, 328, 332, 339, 341, 345, 350, 353, 354, 365, 370, 381, 386, 401, 404, 418, 421, 431, 433, 435, 436, 459, 462, 463, 464, 478, 481, 482, 483, 484, 485, 486, 487, 488, 490, 492, 494, 499, 500, 501, 502, 503, 504, 505, 509, 532, 540, 553, 568, 569, 573, 578, 581, 582, 583, 593, 603, 619, 625, 626, 627, 628, 629, 631, 633, 634, 635, 641, 643, 644, 646, 658, 659, 660, 661, 662, 667, 670, 688, 694, 701, 702, 706, 707, 709, 710, 717, 720, 724, 725, 726, 728, 734, 738, 739, 742, 746, 747, 749, 753, 755, 756, 760, 762, 764, 765, 766, 768, 770, 773, 777, 780, 781, 783, 784, 787, 788, 789, 790, 791, 792, 793, 795, 796, 797, 798, 801, 804, 815, 816, 828, 829, 833, 862, 866, 877, 878, 879, 880, 882, 884, 886, 887, 888, 889, 890, 892, 896, 897, 899, 900, 901, 902, 905, 906, 908, 913, 938, 950, 952, 962, 982, 990, 1016, 1031, 1032, 1041, 1068, 1069, 1070, 1071, 1072, 1102, 1145, 1146, 1147, 1148, 1149, 1154, 1164, 1168, 1170, 1171, 1176, 1179, 1188, 1193, 1194, 1198, 1202, 1203, 1204, 1206, 1207, 1208, 1211, 1221, 1225, 1227, 1228, 1233, 1238, 1249, 1254, 1255, 1259, 1263, 1264, 1265, 1268, 1269, 1270, 1277, 1278, 1279, 1280, 1304, 1321, 1342, 1344, 1345, 1347, 1360, 1368, 1382, 1383, 1389, 1390, 1391, 1393, 1394, 1398, 1402, 1403, 1404, 1405, 1406, 1419, 1421, 1423, 1431, 1435, 1436, 1438, 1439, 1441, 1442, 1443, 1444, 1445, 1446, 1447, 1448, 1449, 1450, 1452, 1453, 1454, 1455, 1458, 1461, 1462, 1463, 1466, 1469, 1470, 1473, 1474, 1475, 1476, 1482, 1483, 1484, 1486, 1487, 1488, 1490, 1493, 1494, 1495, 1496, 1497, 2166, 2184, 2186, 2188, 2192, 2193, 2194, 2197, 2198, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2233, 2235, 2236, 2241, 2242, 2243, 2247, 2248, 2249, 2250, 2253, 2254, 2255, 2256, 2257, 2260, 2261, 2263, 2264, 2271, 2273, 2274, 2275, 2276, 2278, 2283, 2284, 2285, 2290, 2291, 2292, 2293, 2294, 2295, 2297, 2299, 2300, 2302, 2303, 2307, 2308], "name001": [2199, 2249], "name1": 1347, "name2": 1347, "name_0": 2205, "name_9": 2205, "name_funct": 2199, "name_of_my_env": 22, "name_or_index": 877, "namebank": 2199, "namedagg": [1148, 1149, 2195, 2249, 2271], "namedtupl": [83, 91, 150, 151, 152, 509, 594, 920, 1102, 1148, 1149, 1458, 2186, 2195, 2211, 2220, 2229, 2235, 2249, 2265, 2293], "nameerror": [15, 16, 17, 18, 19, 2194, 2199, 2201, 2203, 2218, 2221, 2231, 2294, 2298, 2302, 2307], "nameless": [2195, 2222, 2298], "nameresolutionerror": 2220, "namespac": [10, 203, 272, 683, 1387, 1487, 2169, 2172, 2180, 2191, 2199, 2202, 2206, 2214, 2218, 2230, 2235, 2254, 2258, 2265], "nan": [3, 15, 16, 17, 18, 19, 22, 24, 25, 26, 27, 28, 29, 31, 32, 34, 39, 44, 46, 49, 56, 58, 62, 63, 65, 69, 72, 73, 74, 75, 76, 78, 79, 80, 87, 89, 92, 94, 95, 96, 97, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 114, 117, 118, 119, 121, 122, 123, 124, 125, 128, 129, 132, 134, 135, 145, 146, 148, 149, 153, 158, 159, 161, 162, 163, 169, 171, 172, 173, 175, 177, 178, 180, 181, 182, 183, 184, 185, 198, 199, 200, 201, 204, 205, 206, 207, 208, 212, 213, 214, 215, 216, 217, 218, 220, 221, 222, 230, 233, 234, 241, 244, 245, 249, 257, 258, 259, 267, 269, 271, 272, 275, 279, 280, 281, 282, 284, 346, 356, 357, 362, 371, 376, 377, 379, 385, 393, 398, 402, 413, 414, 427, 436, 441, 442, 443, 444, 449, 467, 476, 490, 502, 573, 578, 583, 584, 585, 589, 591, 592, 597, 598, 599, 601, 604, 611, 615, 616, 617, 618, 619, 620, 623, 625, 626, 627, 628, 629, 630, 631, 636, 693, 694, 695, 696, 697, 698, 699, 700, 701, 704, 706, 707, 709, 710, 711, 715, 716, 720, 725, 726, 733, 734, 739, 740, 741, 747, 748, 749, 753, 755, 756, 758, 759, 760, 761, 773, 774, 775, 777, 778, 780, 781, 782, 787, 788, 790, 791, 792, 793, 795, 796, 797, 804, 807, 808, 812, 815, 821, 823, 824, 827, 828, 829, 832, 833, 834, 845, 846, 849, 850, 857, 862, 863, 866, 867, 868, 874, 878, 879, 882, 889, 890, 896, 897, 899, 901, 906, 907, 908, 912, 914, 962, 990, 1027, 1028, 1029, 1030, 1040, 1041, 1043, 1044, 1047, 1050, 1051, 1052, 1054, 1056, 1068, 1074, 1078, 1118, 1123, 1131, 1139, 1142, 1143, 1146, 1150, 1151, 1153, 1155, 1156, 1157, 1158, 1164, 1165, 1166, 1167, 1168, 1169, 1179, 1182, 1183, 1184, 1186, 1193, 1196, 1198, 1202, 1209, 1210, 1212, 1214, 1221, 1222, 1223, 1224, 1225, 1226, 1231, 1232, 1238, 1241, 1244, 1247, 1254, 1257, 1259, 1263, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1276, 1280, 1286, 1296, 1298, 1299, 1301, 1303, 1306, 1307, 1308, 1309, 1314, 1316, 1317, 1318, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1345, 1359, 1388, 1390, 1391, 1399, 1403, 1404, 1410, 1422, 1423, 1440, 1441, 1442, 1443, 1444, 1446, 1447, 1448, 1449, 1450, 1453, 1454, 1469, 1470, 1475, 1485, 1486, 1487, 1488, 1490, 1498, 1499, 1500, 2167, 2184, 2185, 2186, 2187, 2188, 2191, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2235, 2236, 2237, 2239, 2240, 2245, 2248, 2249, 2250, 2255, 2260, 2263, 2264, 2267, 2269, 2271, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2282, 2283, 2286, 2287, 2292, 2293, 2294, 2295, 2297, 2298, 2302, 2307, 2308], "nan_as_nul": 66, "nan_inf_to_error": 341, "nan_rep": [256, 346, 351, 888, 2199, 2215], "nanmax": [1395, 2207], "nanmedian": 2221, "nano": [916, 1500, 1508, 1526, 1544, 1562, 1581, 1602, 1622, 1639, 1660, 1681, 1702, 1723, 1743, 1761, 1778, 1795, 1817, 1842, 1859, 1879, 1897, 1915, 1932, 1949, 1984, 2002, 2021, 2039, 2057, 2075, 2092, 2110, 2129, 2147, 2172, 2209, 2210, 2218, 2224, 2225, 2228, 2230, 2246, 2261, 2302, 2307], "nanop": [2219, 2221, 2249], "nanosecond": [3, 9, 258, 532, 640, 681, 889, 916, 918, 920, 923, 930, 932, 941, 953, 955, 970, 983, 995, 1009, 1436, 1469, 1476, 1486, 1498, 1500, 1741, 1773, 1854, 1891, 1909, 1927, 1964, 1979, 2033, 2087, 2186, 2199, 2209, 2210, 2218, 2219, 2220, 2221, 2222, 2224, 2225, 2230, 2232, 2234, 2235, 2241, 2246, 2261, 2264, 2265, 2266, 2271, 2277, 2283, 2285, 2289, 2294, 2295, 2298, 2299, 2301, 2302, 2304, 2307], "nanrep": [2220, 2232], "nansum": [2240, 2246], "narrai": 2246, "narrow": [29, 2185], "nasser": 25, "nat": [101, 114, 148, 149, 172, 177, 178, 230, 278, 286, 288, 296, 310, 318, 331, 402, 636, 639, 652, 662, 673, 686, 725, 726, 748, 755, 756, 804, 904, 914, 940, 943, 945, 948, 956, 957, 962, 970, 990, 993, 995, 997, 1007, 1009, 1010, 1013, 1014, 1142, 1169, 1226, 1276, 1441, 1442, 1449, 1450, 1498, 1500, 2167, 2172, 2175, 2186, 2193, 2195, 2197, 2199, 2201, 2206, 2209, 2210, 2216, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2227, 2228, 2229, 2231, 2235, 2236, 2238, 2239, 2241, 2246, 2249, 2261, 2265, 2271, 2275, 2277, 2278, 2281, 2283, 2284, 2287, 2288, 2289, 2291, 2293, 2294, 2298, 2299, 2301, 2302, 2307, 2308], "nation": [2199, 2289, 2294], "national_insur": [183, 761], "nativ": [253, 350, 590, 681, 682, 886, 893, 1009, 1118, 1431, 1482, 1483, 1484, 2167, 2193, 2194, 2199, 2203, 2207, 2210, 2211, 2215, 2220, 2228, 2238, 2249, 2271, 2277, 2283, 2307], "natsort": 234, "nattyp": [2201, 2220, 2230, 2235], "natur": [197, 234, 529, 2185, 2186, 2191, 2195, 2197, 2199, 2210, 2218, 2225, 2226, 2235, 2246, 2283], "naturalnamewarn": 2199, "natyp": 2201, "nauru": [176, 179, 754, 757, 1242, 1243], "navig": [1, 4, 8, 2249], "nb": 2238, "nbc": 2246, "nbconvert": [2230, 2298], "nbsp": [1432, 2207], "nbyte": [168, 407, 745, 1031, 2188, 2230, 2246], "nc": [2199, 2238], "ncall": 2193, "ncbi": 2199, "ncei": 2199, "ncol": [15, 2193, 2211, 2214, 2218], "ncolumn": 25, "ndarrai": [3, 10, 12, 34, 42, 49, 54, 63, 77, 82, 91, 99, 100, 120, 121, 123, 130, 131, 134, 137, 139, 140, 164, 167, 168, 170, 174, 186, 187, 188, 189, 190, 191, 194, 195, 196, 197, 212, 223, 228, 229, 231, 261, 266, 278, 282, 286, 288, 296, 300, 301, 303, 310, 318, 321, 322, 326, 327, 331, 359, 360, 361, 363, 366, 373, 376, 378, 379, 380, 401, 402, 407, 413, 415, 416, 417, 419, 427, 430, 432, 437, 449, 459, 465, 467, 473, 476, 477, 489, 493, 502, 540, 562, 573, 575, 587, 588, 589, 590, 593, 622, 632, 639, 652, 655, 673, 677, 680, 681, 682, 683, 686, 696, 698, 699, 709, 715, 716, 742, 745, 746, 762, 763, 764, 765, 766, 767, 769, 770, 771, 779, 786, 787, 798, 814, 821, 891, 893, 904, 905, 909, 911, 940, 943, 945, 948, 951, 1031, 1034, 1036, 1039, 1042, 1043, 1044, 1045, 1049, 1051, 1055, 1056, 1060, 1064, 1067, 1076, 1078, 1121, 1122, 1123, 1124, 1125, 1131, 1136, 1139, 1140, 1141, 1143, 1155, 1156, 1173, 1174, 1175, 1188, 1213, 1231, 1232, 1249, 1305, 1322, 1343, 1364, 1387, 1388, 1395, 1397, 1430, 1441, 1442, 1445, 1449, 1450, 1458, 1465, 1467, 1493, 1499, 2163, 2164, 2167, 2185, 2186, 2188, 2192, 2197, 2201, 2206, 2208, 2211, 2212, 2215, 2216, 2218, 2219, 2220, 2222, 2224, 2226, 2228, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2254, 2255, 2257, 2263, 2264, 2265, 2271, 2277, 2279, 2283, 2289, 2294, 2298, 2302, 2307], "ndarrayobject": 2193, "ndarraytyp": 2193, "ndenumer": 15, "ndframe": [3, 2185, 2186, 2192, 2194, 2197, 2199, 2201, 2203, 2217, 2218, 2219, 2220, 2221, 2222, 2224, 2230, 2231, 2235, 2241, 2283, 2294, 2298, 2302, 2307], "ndigit": 162, "ndim": [432, 891, 2164, 2185, 2199, 2210, 2218, 2220, 2227, 2230, 2289, 2298, 2302], "ndmin": 2235, "ndonatello": [251, 884], "ne": [118, 132, 135, 159, 161, 2186, 2199, 2232, 2246, 2261], "nearest": [146, 169, 202, 207, 208, 320, 362, 378, 417, 465, 489, 720, 776, 781, 782, 1190, 1251, 1272, 1275, 1280, 1314, 1331, 1411, 1446, 1447, 1448, 1517, 1535, 1553, 1571, 1591, 1612, 1631, 1648, 1670, 1691, 1712, 1733, 1741, 1752, 1770, 1787, 1793, 1806, 1815, 1828, 1851, 1868, 1888, 1906, 1924, 1941, 1958, 1976, 1993, 2011, 2030, 2048, 2066, 2084, 2101, 2119, 2138, 2156, 2186, 2200, 2210, 2218, 2225, 2228, 2232, 2235, 2238, 2267, 2269, 2277], "nearest_workdai": 2210, "nearli": [2186, 2188, 2199, 2206, 2207, 2218, 2235], "necess": 2289, "necessari": [2, 5, 10, 13, 16, 17, 18, 19, 79, 167, 228, 253, 261, 330, 591, 685, 779, 886, 893, 1045, 1064, 1118, 1165, 1174, 1175, 1191, 1196, 1198, 1202, 1222, 1252, 1257, 1259, 1263, 1374, 1415, 1431, 1445, 1469, 1470, 1486, 2172, 2186, 2190, 2191, 2197, 2199, 2207, 2210, 2211, 2212, 2218, 2220, 2224, 2228, 2246, 2249, 2250, 2261, 2277, 2289, 2294, 2298, 2307], "necessarili": [4, 7, 22, 34, 123, 279, 745, 1117, 1395, 1469, 1470, 1486, 1498, 2188, 2199, 2203, 2206, 2210, 2220, 2231, 2241, 2277, 2294], "necessit": [2208, 2218], "need": [1, 2, 3, 4, 5, 6, 7, 8, 10, 13, 16, 17, 18, 19, 21, 22, 24, 25, 27, 29, 31, 32, 34, 44, 49, 61, 69, 83, 98, 109, 117, 119, 122, 129, 138, 144, 153, 163, 171, 173, 182, 184, 199, 204, 206, 213, 215, 216, 217, 218, 220, 221, 222, 244, 251, 252, 259, 275, 284, 341, 359, 360, 425, 437, 477, 511, 573, 578, 581, 582, 586, 587, 588, 589, 590, 594, 614, 621, 622, 624, 631, 633, 636, 693, 694, 695, 697, 706, 707, 710, 714, 715, 716, 734, 739, 741, 747, 749, 753, 760, 772, 773, 777, 780, 783, 786, 788, 789, 790, 791, 792, 793, 795, 796, 797, 807, 808, 821, 824, 873, 878, 884, 890, 893, 900, 901, 909, 912, 1042, 1043, 1057, 1091, 1118, 1168, 1203, 1213, 1215, 1231, 1232, 1264, 1338, 1339, 1340, 1341, 1343, 1345, 1360, 1380, 1381, 1387, 1391, 1397, 1407, 1415, 1430, 1432, 1451, 1453, 1469, 1470, 1475, 1486, 1487, 1488, 1490, 1741, 1815, 2167, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2201, 2202, 2203, 2205, 2206, 2207, 2208, 2210, 2211, 2212, 2215, 2217, 2218, 2219, 2220, 2222, 2225, 2226, 2230, 2231, 2235, 2238, 2240, 2241, 2246, 2249, 2253, 2255, 2261, 2265, 2271, 2283, 2287, 2292, 2293, 2298, 2302, 2307], "neg": [108, 136, 230, 248, 249, 265, 356, 357, 376, 388, 419, 423, 630, 699, 712, 786, 794, 804, 881, 882, 895, 1051, 1060, 1063, 1064, 1165, 1172, 1194, 1201, 1202, 1222, 1229, 1255, 1262, 1263, 1388, 1398, 1741, 2185, 2199, 2207, 2209, 2210, 2211, 2214, 2218, 2220, 2221, 2222, 2224, 2226, 2228, 2230, 2231, 2232, 2233, 2234, 2235, 2238, 2241, 2243, 2246, 2249, 2250, 2264, 2266, 2271, 2277, 2283, 2289, 2294, 2298, 2306], "negat": [2166, 2197, 2209, 2215, 2260], "neglig": [34, 2207], "neighbor": [1272, 1275, 2238], "neither": [2, 34, 88, 98, 218, 230, 268, 445, 446, 449, 453, 455, 459, 460, 462, 463, 464, 467, 475, 510, 599, 600, 621, 793, 804, 845, 1125, 1126, 1128, 1129, 1130, 1131, 1138, 1145, 1193, 1254, 1344, 1393, 1407, 1411, 2185, 2193, 2212, 2220, 2231, 2235, 2249, 2283, 2298, 2307], "ness": [2229, 2298], "nest": [9, 98, 188, 212, 251, 259, 432, 621, 764, 787, 877, 884, 890, 891, 1345, 1382, 1391, 1433, 1438, 1443, 1487, 1488, 1490, 2191, 2197, 2199, 2201, 2202, 2204, 2217, 2220, 2221, 2227, 2228, 2230, 2231, 2241, 2242, 2249, 2254, 2265, 2271, 2274, 2289, 2297, 2307], "net": 2241, "network": [22, 1492, 2199, 2207, 2217, 2218], "neutral": [2199, 2283], "never": [2, 144, 151, 160, 738, 1350, 1433, 2185, 2186, 2190, 2192, 2197, 2207, 2210, 2241, 2242, 2263, 2294, 2298, 2302, 2307], "new": [1, 2, 3, 4, 6, 7, 10, 11, 13, 14, 16, 17, 18, 19, 21, 22, 25, 29, 31, 32, 33, 34, 36, 41, 50, 53, 56, 58, 59, 60, 61, 62, 69, 70, 71, 74, 79, 81, 85, 97, 98, 109, 112, 114, 120, 125, 129, 142, 145, 171, 173, 184, 199, 203, 204, 206, 207, 208, 209, 210, 211, 212, 214, 215, 216, 217, 220, 221, 222, 223, 226, 227, 228, 233, 237, 241, 244, 251, 255, 256, 267, 275, 279, 325, 328, 341, 364, 365, 366, 367, 368, 378, 380, 388, 389, 404, 415, 417, 418, 419, 421, 430, 431, 433, 440, 459, 465, 478, 481, 482, 489, 498, 499, 500, 501, 503, 506, 532, 541, 575, 578, 579, 580, 583, 586, 591, 596, 605, 608, 611, 612, 613, 614, 615, 620, 621, 631, 636, 694, 701, 706, 707, 710, 718, 734, 739, 747, 749, 753, 773, 777, 780, 781, 782, 783, 784, 785, 786, 787, 789, 790, 791, 792, 795, 796, 797, 798, 801, 802, 807, 878, 884, 888, 896, 901, 905, 911, 919, 922, 929, 950, 952, 957, 970, 993, 997, 1019, 1037, 1038, 1040, 1045, 1052, 1060, 1117, 1118, 1125, 1141, 1146, 1152, 1192, 1193, 1194, 1211, 1253, 1254, 1255, 1271, 1272, 1274, 1280, 1286, 1345, 1347, 1387, 1390, 1391, 1416, 1422, 1444, 1453, 1457, 1469, 1473, 1478, 1486, 1488, 1490, 1498, 2166, 2167, 2184, 2185, 2186, 2190, 2192, 2193, 2195, 2196, 2197, 2199, 2200, 2201, 2202, 2204, 2207, 2210, 2211, 2212, 2213, 2216, 2217, 2218, 2219, 2220, 2221, 2223, 2224], "new_bil": [16, 17, 19], "new_cal": 2210, "new_categori": [50, 60, 61, 62, 605, 613, 614, 615, 2184, 2188, 2199, 2232, 2235, 2238], "new_cod": 2249, "new_column": 280, "new_dat": 2210, "new_data": [2197, 2298], "new_dates_dt64": 2210, "new_df": [280, 2199, 2241], "new_func": 2, "new_idx": 365, "new_index": [207, 417, 781, 2185, 2192, 2197, 2201], "new_kei": 2185, "new_label": [2188, 2197], "new_method": 2186, "new_mgr": 2199, "new_mi": 2185, "new_nam": 1444, "new_prefix": 2204, "new_prefix_a": 2204, "new_prefix_b": 2204, "new_prefix_c": 2204, "new_pric": 2294, "new_rat": [183, 761], "new_row": [17, 1146], "new_valu": [2202, 2298], "new_york": [9, 37], "newark": 2199, "newaxi": [2212, 2238], "newbyteord": 2194, "newcol": [145, 2193], "newer": [1, 2, 5, 337, 1470, 2199, 2217, 2224, 2230], "newexamplecalendar": 2210, "newli": [13, 29, 81, 230, 267, 364, 419, 786, 789, 804, 896, 1060, 1063, 1118, 1196, 1257, 2186, 2191, 2246], "newlin": [251, 258, 849, 863, 868, 884, 889, 2199, 2217, 2222, 2226, 2231, 2246, 2294], "newnam": 2230, "newx": 2194, "next": [0, 1, 2, 3, 4, 5, 6, 13, 14, 16, 19, 22, 23, 28, 29, 32, 74, 79, 87, 89, 124, 125, 151, 176, 179, 181, 182, 185, 192, 207, 208, 378, 417, 465, 489, 583, 591, 598, 601, 700, 701, 759, 760, 781, 782, 831, 1040, 1052, 1167, 1224, 1272, 1275, 1344, 1454, 1469, 1470, 1486, 1578, 1598, 1620, 1637, 1657, 1677, 1699, 1720, 1793, 1815, 1930, 1947, 2127, 2145, 2185, 2186, 2195, 2199, 2207, 2210, 2212, 2214, 2219, 2223, 2227, 2230, 2289, 2294, 2298, 2302], "next_mondai": 2210, "next_monday_or_tuesdai": 2210, "nfc": 851, "nfd": 851, "nfkc": 851, "nfkd": 851, "nfrequenc": 2214, "ngroup": [1159, 1216, 2195, 2222, 2228, 2236, 2298], "nh": 2199, "nice": [10, 2185, 2186, 2199, 2205, 2207, 2211, 2218, 2222, 2228, 2229, 2238, 2239, 2260], "nicer": [2197, 2241], "nichola": 25, "nightli": 22, "nih": 2199, "ninja": 2186, "nino": 871, "nitrat": 30, "nitrogen": 30, "ni\u00f1o": 871, "nj": [486, 2199], "nl": [2186, 2191, 2227], "nl0000289783": 2220, "nl0000289965": 2220, "nl0000301109": 2220, "nlargest": [18, 179, 757, 1243, 2186, 2220, 2221, 2228, 2234, 2235, 2243, 2246, 2249, 2285, 2289], "nlevel": [1415, 2242, 2243], "nname": 2199, "no2": [29, 30, 31], "no2_concentr": 26, "no2_pivot": 29, "no2_subset": 29, "no_2": [26, 27, 29, 30, 31], "no_default": [39, 74, 87, 89, 114, 121, 122, 124, 125, 134, 145, 146, 163, 181, 182, 184, 185, 210, 212, 213, 214, 218, 230, 241, 261, 286, 325, 339, 377, 431, 485, 487, 505, 573, 583, 586, 598, 601, 696, 697, 700, 701, 709, 720, 741, 759, 760, 784, 787, 788, 789, 793, 804, 887, 893, 938, 950, 1122, 1144, 1156, 1160, 1161, 1162, 1163, 1165, 1167, 1174, 1175, 1186, 1191, 1196, 1198, 1202, 1217, 1218, 1219, 1220, 1222, 1224, 1231, 1232, 1247, 1252, 1257, 1259, 1263, 1280, 1453, 1454, 1468, 1469, 1470, 1471, 1472, 1475, 1476, 1477, 1478, 1481, 1482, 1483, 1484, 1486, 1487, 1493, 1494, 1496, 1498, 1499, 2168, 2184, 2197, 2199, 2205, 2298], "no_prefix": [854, 855, 2208], "no_silent_downcast": [1345, 1391, 1488, 1490, 2202, 2307], "no_suffix": [854, 855, 2208], "no_warning_funct": 2, "noaa": 2218, "noatamir": 6, "nobodi": [1, 2197], "nobufferpres": 2298, "node": [346, 348, 1487, 2199, 2214, 2274], "nodefault": 2199, "nogil": [77, 1148, 1149, 1178, 1179, 1181, 1199, 1200, 1203, 1205, 1207, 1208, 1237, 1238, 1240, 1260, 1261, 1264, 1267, 1300, 1302, 1305, 1310, 1311, 1312, 1313, 1318, 1319, 1320, 1322, 1327, 1328, 1329, 1330, 1335, 1336, 1337, 2193, 2212], "nohostnam": 2199, "noisi": [2190, 2308], "noisier": 2220, "nomin": 2199, "non": [1, 2, 9, 19, 24, 34, 42, 54, 66, 76, 94, 95, 101, 102, 107, 114, 123, 128, 131, 143, 144, 153, 158, 167, 177, 178, 180, 185, 191, 194, 200, 201, 236, 245, 251, 257, 261, 269, 274, 278, 280, 281, 286, 288, 296, 318, 326, 331, 353, 376, 379, 383, 413, 414, 417, 419, 436, 468, 573, 585, 589, 618, 623, 629, 636, 639, 652, 673, 680, 686, 698, 699, 704, 719, 733, 755, 756, 758, 767, 769, 774, 775, 786, 810, 812, 813, 814, 828, 831, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 849, 863, 868, 879, 884, 904, 907, 908, 914, 940, 943, 948, 1014, 1051, 1060, 1075, 1076, 1078, 1132, 1143, 1146, 1158, 1164, 1166, 1167, 1169, 1177, 1178, 1181, 1183, 1189, 1194, 1200, 1221, 1223, 1226, 1236, 1237, 1240, 1244, 1250, 1255, 1261, 1276, 1280, 1281, 1290, 1295, 1307, 1324, 1343, 1345, 1352, 1354, 1359, 1360, 1386, 1388, 1389, 1391, 1397, 1402, 1415, 1430, 1433, 1435, 1444, 1445, 1449, 1450, 1454, 1467, 1469, 1470, 1475, 1482, 1483, 1484, 1486, 1487, 1488, 1490, 1497, 1498, 1773, 1854, 1891, 1909, 1927, 1979, 2033, 2087, 2166, 2168, 2184, 2186, 2188, 2190, 2191, 2192, 2194, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2206, 2207, 2208, 2210, 2211, 2212, 2213, 2214, 2215, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2245, 2246, 2248, 2249, 2257, 2260, 2263, 2264, 2265, 2266, 2268, 2272, 2276, 2277, 2279, 2280, 2281, 2282, 2283, 2286, 2289, 2293, 2295, 2299, 2301, 2302, 2303, 2304, 2307, 2308, 2309], "non_monotonic_index": 382, "non_uniqu": 2218, "non_unique_index": 2220, "noncontigu": [15, 2284], "none": [2, 3, 9, 10, 16, 17, 18, 19, 37, 38, 39, 40, 44, 46, 49, 56, 63, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 87, 88, 89, 91, 92, 94, 95, 101, 102, 103, 104, 105, 106, 107, 109, 111, 112, 114, 116, 118, 120, 121, 124, 125, 126, 128, 129, 130, 131, 132, 133, 134, 135, 137, 143, 144, 146, 148, 149, 152, 153, 155, 156, 158, 159, 161, 162, 163, 164, 165, 166, 167, 169, 170, 171, 173, 175, 177, 178, 181, 182, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 197, 199, 200, 201, 203, 204, 206, 207, 208, 209, 210, 212, 213, 214, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 230, 232, 233, 234, 237, 240, 242, 244, 245, 246, 249, 250, 251, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 272, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 296, 298, 302, 310, 316, 318, 320, 321, 328, 329, 330, 331, 334, 337, 339, 341, 343, 344, 345, 346, 351, 352, 354, 359, 360, 365, 367, 376, 377, 378, 382, 385, 389, 401, 402, 404, 405, 406, 408, 413, 417, 418, 419, 420, 421, 423, 425, 426, 427, 429, 430, 433, 434, 435, 436, 438, 439, 440, 441, 442, 443, 444, 457, 459, 462, 463, 464, 465, 478, 481, 482, 485, 486, 487, 488, 489, 490, 491, 492, 493, 500, 501, 506, 510, 519, 532, 533, 538, 540, 541, 549, 551, 552, 553, 563, 568, 569, 573, 575, 578, 579, 580, 581, 582, 583, 584, 585, 587, 588, 589, 591, 592, 593, 595, 598, 600, 601, 616, 617, 622, 624, 625, 626, 627, 628, 629, 631, 633, 634, 636, 639, 648, 651, 652, 664, 669, 670, 673, 675, 683, 684, 685, 686, 694, 696, 699, 700, 701, 702, 704, 706, 707, 708, 709, 710, 711, 713, 715, 716, 719, 720, 725, 726, 730, 731, 733, 734, 739, 740, 741, 742, 743, 744, 746, 747, 748, 749, 753, 755, 756, 759, 760, 762, 763, 764, 765, 766, 767, 768, 769, 770, 773, 774, 775, 777, 780, 781, 782, 783, 784, 786, 787, 788, 789, 790, 791, 792, 793, 795, 796, 797, 798, 799, 800, 801, 802, 804, 806, 807, 808, 816, 817, 821, 823, 827, 830, 832, 833, 835, 849, 850, 857, 858, 859, 862, 863, 864, 865, 866, 867, 868, 871, 878, 879, 880, 882, 883, 884, 886, 888, 889, 890, 892, 893, 894, 895, 896, 897, 898, 901, 902, 903, 904, 906, 908, 910, 911, 912, 913, 914, 915, 916, 931, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 951, 952, 953, 956, 962, 972, 983, 990, 993, 995, 1001, 1007, 1008, 1010, 1013, 1014, 1027, 1028, 1029, 1030, 1031, 1037, 1038, 1040, 1052, 1059, 1060, 1061, 1063, 1064, 1067, 1073, 1074, 1075, 1109, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1128, 1129, 1130, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1148, 1149, 1153, 1154, 1158, 1164, 1166, 1167, 1169, 1170, 1173, 1174, 1175, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1186, 1188, 1189, 1193, 1194, 1196, 1198, 1199, 1200, 1202, 1203, 1204, 1205, 1207, 1208, 1212, 1213, 1215, 1221, 1223, 1224, 1226, 1227, 1230, 1231, 1232, 1236, 1237, 1238, 1239, 1240, 1241, 1244, 1247, 1249, 1250, 1254, 1255, 1257, 1259, 1260, 1261, 1263, 1264, 1266, 1267, 1269, 1270, 1271, 1272, 1274, 1275, 1276, 1277, 1280, 1281, 1284, 1286, 1290, 1295, 1298, 1299, 1300, 1302, 1305, 1306, 1308, 1310, 1311, 1312, 1313, 1318, 1319, 1320, 1322, 1323, 1325, 1327, 1328, 1329, 1330, 1335, 1336, 1337, 1342, 1343, 1344, 1345, 1362, 1367, 1374, 1383, 1387, 1388, 1389, 1390, 1391, 1392, 1393, 1394, 1395, 1396, 1397, 1398, 1399, 1400, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1414, 1415, 1416, 1418, 1419, 1421, 1422, 1423, 1430, 1431, 1432, 1433, 1434, 1436, 1437, 1438, 1439, 1441, 1442, 1443, 1445, 1446, 1447, 1448, 1449, 1450, 1452, 1454, 1455, 1456, 1457, 1458, 1460, 1461, 1463, 1465, 1467, 1469, 1470, 1471, 1472, 1473, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1489, 1490, 1491, 1492, 1493, 1494, 1496, 1497, 1498, 1499, 1500, 1501, 1502, 2090, 2163, 2167, 2184, 2185, 2186, 2188, 2191, 2192, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2205, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2230, 2231, 2232, 2233, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2246, 2247, 2249, 2260, 2263, 2265, 2266, 2267, 2269, 2271, 2273, 2275, 2276, 2277, 2280, 2282, 2283, 2285, 2286, 2288, 2289, 2291, 2292, 2293, 2294, 2295, 2296, 2298, 2302, 2303, 2304, 2305, 2306, 2307, 2309], "nonempti": 2283, "nonetyp": [2228, 2241], "nonexist": [214, 278, 288, 296, 318, 331, 639, 652, 673, 686, 904, 940, 943, 948, 957, 970, 997, 1014, 2232, 2236, 2246, 2249, 2271, 2307], "nonexistenttimeerror": [278, 288, 296, 318, 331, 639, 652, 673, 686, 904, 940, 943, 948, 957, 970, 997, 1014, 2210, 2232, 2246], "nonrobust": [2186, 2227], "nonzero": [356, 1009, 2246, 2249, 2265, 2277], "noon": [1006, 1498, 2220], "nope": 2199, "nopython": [77, 1148, 1149, 1178, 1179, 1181, 1199, 1200, 1203, 1205, 1207, 1208, 1237, 1238, 1240, 1260, 1261, 1264, 1267, 1300, 1302, 1305, 1310, 1311, 1312, 1313, 1318, 1319, 1320, 1322, 1327, 1328, 1329, 1330, 1335, 1336, 1337, 2193, 2212], "noqa": [10, 1069, 1071, 1072, 2184, 2185, 2191, 2193, 2195, 2199, 2201, 2211, 2212, 2219, 2220, 2222, 2224, 2227, 2228, 2229, 2230, 2260, 2294], "nor": [2, 34, 98, 256, 351, 621, 845, 888, 2199, 2220, 2235, 2298], "norepli": 6, "noreturn": [2184, 2186, 2194], "norm": 2294, "normal": [3, 10, 42, 44, 54, 79, 97, 102, 143, 155, 156, 192, 223, 225, 232, 242, 281, 283, 286, 321, 322, 436, 562, 591, 620, 624, 677, 719, 730, 731, 798, 800, 806, 817, 908, 910, 1050, 1145, 1158, 1194, 1198, 1204, 1215, 1255, 1259, 1266, 1342, 1344, 1397, 1430, 1443, 1455, 1460, 1476, 1506, 1524, 1542, 1560, 1578, 1598, 1620, 1637, 1657, 1677, 1699, 1720, 1741, 1776, 1793, 1815, 1857, 1930, 1947, 1982, 2000, 2036, 2054, 2090, 2108, 2127, 2145, 2185, 2186, 2188, 2191, 2194, 2195, 2197, 2207, 2208, 2210, 2211, 2216, 2221, 2222, 2225, 2226, 2229, 2230, 2231, 2232, 2239, 2241, 2250, 2274, 2277, 2298, 2302, 2304, 2307, 2310], "north": 2199, "nose": 2230, "nosetest": 2220, "notabl": [233, 234, 427, 807, 808, 2213, 2222, 2228, 2235, 2262], "notat": [16, 17, 19, 1183, 1244, 1345, 1391, 1488, 1489, 1490, 2185, 2197, 2202, 2208, 2228, 2235, 2257, 2283, 2289], "note": [1, 2, 5, 6, 12, 13, 15, 16, 17, 19, 22, 34, 39, 46, 49, 56, 63, 66, 68, 69, 72, 73, 77, 79, 80, 81, 82, 83, 85, 89, 91, 96, 97, 98, 99, 102, 107, 108, 109, 110, 117, 118, 120, 121, 122, 123, 124, 125, 126, 129, 132, 134, 135, 137, 139, 140, 146, 147, 151, 152, 153, 157, 159, 160, 161, 162, 163, 167, 168, 171, 173, 175, 176, 183, 184, 185, 186, 192, 199, 203, 204, 206, 207, 208, 210, 212, 213, 215, 216, 217, 218, 220, 221, 222, 223, 224, 227, 238, 241, 242, 244, 247, 249, 250, 253, 254, 258, 259, 260, 261, 262, 263, 267, 271, 273, 274, 275, 276, 278, 279, 281, 282, 284, 285, 286, 288, 296, 310, 318, 322, 331, 341, 346, 354, 356, 357, 364, 365, 376, 378, 381, 390, 401, 407, 420, 423, 425, 426, 429, 440, 445, 459, 462, 465, 478, 481, 489, 490, 491, 504, 532, 562, 573, 577, 581, 582, 586, 590, 591, 592, 593, 594, 596, 597, 599, 601, 619, 620, 621, 622, 629, 630, 632, 639, 652, 673, 677, 686, 693, 696, 697, 698, 699, 700, 701, 702, 705, 709, 715, 716, 718, 720, 732, 738, 740, 741, 754, 757, 761, 762, 781, 782, 784, 787, 788, 793, 798, 799, 802, 817, 823, 824, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 857, 862, 866, 873, 874, 877, 880, 882, 883, 886, 889, 890, 892, 893, 896, 899, 900, 902, 904, 905, 906, 911, 912, 913, 916, 923, 932, 938, 940, 943, 945, 948, 953, 957, 970, 972, 973, 997, 1014, 1018, 1031, 1042, 1043, 1051, 1053, 1056, 1059, 1063, 1064, 1068, 1069, 1071, 1072, 1078, 1081, 1090, 1091, 1095, 1117, 1118, 1119, 1120, 1122, 1125, 1128, 1141, 1143, 1145, 1146, 1148, 1149, 1152, 1155, 1158, 1164, 1168, 1173, 1174, 1175, 1182, 1187, 1188, 1202, 1203, 1204, 1207, 1208, 1211, 1213, 1221, 1225, 1231, 1232, 1241, 1242, 1243, 1248, 1249, 1264, 1269, 1270, 1271, 1280, 1289, 1300, 1302, 1304, 1306, 1309, 1310, 1311, 1312, 1313, 1316, 1317, 1318, 1319, 1320, 1321, 1323, 1326, 1327, 1328, 1329, 1330, 1333, 1334, 1335, 1336, 1337, 1342, 1343, 1344, 1345, 1354, 1361, 1364, 1387, 1388, 1389, 1390, 1391, 1393, 1394, 1395, 1396, 1397, 1398, 1400, 1402, 1403, 1404, 1406, 1407, 1411, 1413, 1414, 1415, 1416, 1418, 1419, 1421, 1422, 1423, 1424, 1430, 1431, 1433, 1436, 1445, 1452, 1453, 1454, 1458, 1467, 1469, 1470, 1473, 1475, 1476, 1477, 1478, 1479, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1490, 1493, 1494, 1496, 1497, 1498, 1499, 1500, 1741, 2166, 2185, 2186, 2188, 2191, 2192, 2194, 2195, 2197, 2198, 2200, 2202, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2220, 2221, 2222, 2227, 2228, 2229, 2230, 2231, 2232, 2234, 2238, 2240, 2241, 2246, 2247, 2248, 2249, 2250, 2251, 2252, 2260, 2261, 2263, 2264, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, 2310], "notebook": [26, 35, 257, 1345, 1391, 1394, 1473, 1488, 1490, 2196, 2199, 2202, 2207, 2227, 2229, 2230, 2232, 2235, 2238, 2241, 2246, 2250, 2251, 2258, 2298], "notebook_repr_html": [1345, 1391, 1488, 1490, 2202], "notfounderror": 2271, "noth": [5, 12, 107, 240, 267, 629, 816, 896, 1164, 1221, 1395, 1396, 1413, 1414, 1469, 1486, 1741, 2185, 2199, 2220, 2261, 2285, 2298], "notic": [0, 3, 6, 13, 18, 34, 63, 101, 117, 127, 134, 145, 157, 184, 267, 376, 378, 380, 465, 489, 693, 699, 703, 709, 732, 896, 1152, 1211, 1343, 1354, 1388, 1433, 1453, 1478, 2185, 2186, 2204, 2206, 2207, 2210, 2211, 2225, 2238, 2241, 2246, 2302], "notifi": 2199, "notimpl": [10, 1031, 2186, 2224, 2230, 2249], "notimplementederror": [230, 262, 268, 280, 804, 1000, 1032, 1346, 2218, 2220, 2221, 2225, 2226, 2227, 2228, 2229, 2232, 2241, 2249, 2265, 2271, 2283, 2289, 2292, 2294, 2295, 2298, 2300, 2302, 2303, 2307], "notion": 12, "notna": [16, 18, 19, 25, 114, 148, 149, 178, 402, 636, 725, 726, 756, 1441, 1442, 1450, 2194, 2201, 2238, 2283], "notnul": [177, 413, 755, 2214, 2228, 2232, 2235, 2238, 2253, 2260], "nov": [1699, 1720, 2186, 2210, 2227, 2307], "novemb": [268, 2199, 2210, 2213], "now": [1, 2, 5, 10, 18, 19, 99, 100, 102, 111, 134, 186, 197, 202, 205, 213, 223, 255, 286, 337, 345, 617, 709, 762, 778, 788, 798, 1143, 1155, 1156, 1158, 1188, 1190, 1194, 1195, 1199, 1203, 1205, 1249, 1251, 1255, 1256, 1260, 1264, 1267, 1283, 1292, 1294, 1297, 1469, 1482, 1486, 1498, 1776, 2185, 2186, 2188, 2190, 2193, 2194, 2195, 2197, 2199, 2201, 2205, 2207, 2210, 2211, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2231, 2233, 2236, 2239, 2240, 2243, 2246, 2247, 2250, 2253, 2256, 2257, 2261, 2263, 2264, 2267, 2270, 2273, 2274, 2277, 2278, 2279, 2285, 2287, 2289, 2292, 2293, 2295, 2299, 2302, 2304, 2306], "nowrap": [1433, 2207], "np": [2, 3, 10, 15, 16, 17, 18, 19, 28, 39, 40, 63, 72, 73, 74, 75, 76, 77, 80, 91, 92, 94, 96, 97, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 110, 111, 114, 117, 121, 122, 123, 124, 125, 126, 131, 144, 146, 148, 149, 163, 168, 172, 177, 178, 183, 188, 189, 190, 192, 193, 195, 196, 198, 200, 201, 202, 205, 207, 212, 213, 214, 218, 223, 224, 228, 230, 234, 245, 249, 271, 272, 273, 278, 279, 280, 282, 284, 300, 301, 331, 345, 361, 363, 371, 373, 376, 377, 378, 379, 380, 393, 398, 401, 402, 413, 417, 420, 436, 440, 449, 457, 465, 467, 489, 502, 509, 540, 568, 573, 575, 578, 581, 582, 583, 584, 585, 586, 589, 592, 599, 616, 618, 620, 622, 623, 625, 626, 627, 628, 629, 630, 631, 632, 633, 636, 640, 682, 683, 686, 693, 694, 696, 697, 698, 699, 700, 701, 702, 706, 707, 709, 710, 720, 725, 726, 734, 739, 740, 741, 747, 749, 750, 753, 755, 756, 761, 764, 765, 766, 768, 770, 771, 773, 774, 775, 777, 778, 780, 781, 785, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 804, 807, 808, 811, 815, 821, 823, 824, 827, 834, 845, 849, 857, 862, 863, 866, 867, 868, 874, 878, 879, 882, 899, 900, 901, 904, 907, 908, 912, 914, 916, 938, 1034, 1035, 1039, 1040, 1043, 1044, 1045, 1047, 1050, 1052, 1054, 1055, 1056, 1064, 1067, 1069, 1071, 1072, 1073, 1074, 1076, 1078, 1081, 1084, 1085, 1086, 1087, 1090, 1093, 1095, 1097, 1101, 1104, 1105, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1118, 1131, 1140, 1142, 1143, 1148, 1149, 1154, 1155, 1156, 1157, 1158, 1159, 1164, 1166, 1167, 1179, 1183, 1193, 1194, 1198, 1202, 1207, 1208, 1213, 1214, 1216, 1221, 1223, 1238, 1244, 1254, 1255, 1259, 1263, 1269, 1270, 1272, 1273, 1275, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1359, 1364, 1377, 1385, 1388, 1390, 1395, 1396, 1397, 1399, 1403, 1404, 1406, 1410, 1411, 1413, 1414, 1415, 1416, 1418, 1420, 1421, 1423, 1430, 1440, 1441, 1442, 1449, 1450, 1456, 1457, 1458, 1460, 1462, 1464, 1465, 1469, 1470, 1482, 1483, 1485, 1486, 1487, 1498, 1499, 1500, 1657, 1677, 1699, 1720, 2163, 2164, 2166, 2167, 2184, 2185, 2186, 2187, 2188, 2191, 2192, 2193, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2235, 2237, 2238, 2239, 2240, 2241, 2243, 2248, 2249, 2250, 2255, 2257, 2260, 2261, 2264, 2269, 2271, 2274, 2277, 2278, 2279, 2281, 2283, 2289, 2292, 2293, 2294, 2297, 2298, 2299, 2300, 2302], "np_arrai": 2212, "np_datetim": 2210, "npy_1_7_api_vers": 2193, "npy_1_7_deprecated_api": 2193, "npy_no_deprecated_api": 2193, "nr": [176, 179], "nraphael": [251, 884], "nrow": [16, 17, 18, 19, 25, 131, 339, 1469, 1470, 1476, 1486, 2193, 2199, 2203, 2211, 2214, 2218, 2221, 2228, 2232, 2234, 2235, 2241, 2243, 2246, 2254, 2271, 2289, 2294, 2298], "nsmallest": [176, 754, 1242, 2186, 2220, 2221, 2228, 2234, 2235, 2246, 2285, 2289, 2292], "nteract": 2235, "nth": [134, 709, 1169, 1177, 1202, 1226, 1236, 1263, 1276, 1281, 1475, 2220, 2221, 2222, 2225, 2232, 2238, 2241, 2246, 2249, 2250, 2265, 2289, 2302, 2308], "nthread": [2238, 2246, 2265], "nto": 873, "ntwo": 2199, "nuisanc": [2249, 2277, 2289, 2298], "null": [18, 24, 25, 46, 75, 76, 79, 94, 95, 99, 101, 102, 103, 104, 105, 106, 107, 117, 128, 139, 140, 144, 155, 156, 158, 163, 164, 165, 166, 169, 170, 200, 201, 225, 232, 242, 245, 256, 258, 283, 284, 321, 359, 360, 406, 408, 414, 584, 585, 587, 588, 589, 591, 618, 623, 625, 626, 627, 628, 629, 633, 693, 704, 715, 716, 730, 731, 733, 741, 742, 743, 744, 746, 748, 758, 774, 775, 800, 806, 812, 817, 879, 888, 889, 910, 912, 1155, 1158, 1164, 1166, 1167, 1169, 1174, 1175, 1177, 1183, 1198, 1221, 1223, 1226, 1231, 1232, 1236, 1244, 1259, 1276, 1281, 1345, 1367, 1391, 1441, 1442, 1446, 1449, 1450, 1469, 1470, 1476, 1486, 1488, 1490, 1498, 2188, 2191, 2194, 2195, 2197, 2199, 2202, 2206, 2210, 2212, 2217, 2218, 2219, 2221, 2222, 2223, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2239, 2240, 2246, 2248, 2265, 2267, 2271, 2272, 2283, 2293, 2294, 2295, 2298, 2299, 2302, 2307, 2308, 2309], "null_color": [2294, 2298], "null_count": [2223, 2277, 2298], "nullabl": [10, 97, 267, 620, 896, 1097, 1110, 1115, 1123, 1124, 1468, 1469, 1470, 1471, 1472, 1475, 1476, 1477, 1478, 1481, 1482, 1483, 1484, 1486, 1487, 1499, 2175, 2186, 2191, 2194, 2196, 2199, 2201, 2203, 2208, 2213, 2246, 2248, 2265, 2266, 2269, 2271, 2275, 2280, 2283, 2284, 2285, 2289, 2290, 2294, 2295, 2302, 2308, 2309], "nullable_numpi": 2301, "nullfrequencyerror": [2241, 2265], "nulllabl": 2271, "num": [4, 1456, 2186, 2193, 2199, 2200, 2211], "num1": 3, "num2": 3, "num_allow_arg": [2184, 2199, 2205, 2246], "num_arm": [210, 784], "num_categori": 9, "num_col": 1394, "num_leg": [147, 152, 210, 223, 271, 281, 285, 784, 798, 899, 913], "num_row": 1394, "num_specimen_seen": [223, 798], "num_valu": [1073, 2212], "num_w": [147, 152, 223, 281, 285, 798, 913], "numba": [22, 77, 121, 122, 218, 696, 697, 793, 1148, 1149, 1178, 1179, 1181, 1193, 1199, 1200, 1203, 1205, 1207, 1208, 1237, 1238, 1240, 1254, 1260, 1261, 1264, 1267, 1300, 1302, 1305, 1310, 1311, 1312, 1313, 1318, 1319, 1320, 1322, 1327, 1328, 1329, 1330, 1335, 1336, 1337, 1345, 1369, 1391, 1488, 1490, 2186, 2196, 2199, 2202, 2227, 2271, 2277, 2278, 2283, 2286, 2289, 2292, 2294, 2298, 2302, 2304, 2307], "numba_": 2212, "numba_func": 2212, "number": [1, 2, 3, 4, 5, 13, 14, 15, 16, 17, 18, 19, 23, 24, 25, 26, 29, 30, 32, 39, 41, 49, 53, 60, 68, 74, 89, 99, 101, 102, 107, 108, 118, 121, 122, 124, 125, 131, 132, 135, 136, 137, 144, 145, 146, 147, 159, 160, 161, 162, 169, 174, 175, 176, 179, 180, 182, 191, 192, 193, 194, 200, 201, 203, 207, 208, 209, 211, 212, 213, 214, 218, 219, 223, 224, 225, 230, 231, 242, 245, 248, 251, 253, 255, 257, 258, 259, 267, 268, 269, 283, 292, 294, 321, 332, 345, 352, 356, 357, 378, 401, 411, 412, 414, 417, 418, 419, 423, 424, 436, 465, 478, 482, 484, 485, 487, 488, 489, 497, 499, 517, 518, 532, 547, 548, 577, 583, 597, 601, 608, 613, 622, 623, 624, 629, 630, 644, 646, 648, 649, 650, 662, 664, 669, 675, 688, 696, 697, 700, 701, 712, 713, 720, 738, 750, 751, 752, 758, 760, 767, 768, 769, 774, 775, 781, 782, 785, 786, 787, 788, 793, 794, 798, 800, 804, 805, 813, 815, 817, 824, 828, 829, 836, 837, 838, 839, 840, 841, 842, 843, 844, 846, 852, 857, 862, 866, 879, 881, 884, 886, 889, 890, 896, 897, 908, 910, 927, 930, 942, 946, 947, 949, 967, 968, 982, 983, 1023, 1025, 1040, 1052, 1057, 1060, 1063, 1079, 1103, 1109, 1145, 1146, 1155, 1158, 1159, 1164, 1166, 1167, 1169, 1172, 1173, 1177, 1178, 1181, 1182, 1189, 1193, 1194, 1196, 1197, 1200, 1201, 1213, 1215, 1216, 1221, 1223, 1224, 1226, 1229, 1230, 1236, 1237, 1240, 1241, 1245, 1250, 1254, 1255, 1257, 1258, 1261, 1262, 1276, 1280, 1281, 1286, 1287, 1290, 1293, 1295, 1308, 1316, 1318, 1320, 1323, 1325, 1333, 1335, 1337, 1342, 1343, 1344, 1345, 1387, 1390, 1391, 1393, 1394, 1398, 1400, 1403, 1404, 1415, 1431, 1432, 1434, 1443, 1446, 1452, 1455, 1457, 1459, 1464, 1467, 1469, 1470, 1472, 1473, 1474, 1475, 1476, 1482, 1483, 1484, 1485, 1486, 1488, 1489, 1490, 1493, 1494, 1495, 1496, 1497, 1498, 1499, 1500, 1506, 1524, 1542, 1560, 1578, 1598, 1620, 1637, 1657, 1677, 1699, 1720, 1741, 1758, 1773, 1776, 1793, 1815, 1839, 1854, 1857, 1876, 1891, 1894, 1909, 1912, 1927, 1930, 1947, 1964, 1979, 1982, 2000, 2018, 2033, 2036, 2054, 2087, 2090, 2108, 2127, 2145, 2166, 2185, 2186, 2188, 2191, 2193, 2194, 2195, 2196, 2197, 2198, 2199, 2200, 2201, 2204, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2234, 2235, 2238, 2239, 2240, 2241, 2243, 2246, 2248, 2249, 2250, 2253, 2260, 2261, 2263, 2264, 2265, 2271, 2272, 2273, 2277, 2283, 2289, 2293, 2298, 2299, 2302, 2307], "number_in_a_chunk": [2199, 2216], "number_leg": [205, 778], "numc": 2222, "numd": 2222, "numer": [2, 3, 16, 19, 21, 22, 23, 24, 26, 28, 39, 49, 68, 82, 91, 97, 107, 131, 143, 146, 172, 185, 188, 189, 190, 195, 196, 205, 212, 224, 230, 238, 251, 261, 282, 286, 354, 376, 391, 392, 393, 394, 395, 398, 399, 436, 445, 577, 593, 620, 629, 699, 719, 720, 764, 765, 766, 770, 771, 778, 787, 804, 836, 837, 838, 839, 840, 841, 842, 843, 844, 884, 908, 1104, 1109, 1164, 1177, 1221, 1236, 1280, 1281, 1343, 1352, 1387, 1388, 1393, 1394, 1397, 1430, 1433, 1441, 1442, 1444, 1447, 1449, 1450, 1454, 1458, 1469, 1470, 1482, 1483, 1484, 1485, 1486, 1498, 1499, 1500, 2166, 2172, 2185, 2186, 2188, 2192, 2193, 2194, 2199, 2200, 2203, 2204, 2205, 2207, 2208, 2209, 2211, 2212, 2215, 2216, 2217, 2218, 2220, 2221, 2222, 2223, 2225, 2226, 2227, 2228, 2230, 2231, 2232, 2260, 2263, 2266, 2272, 2274, 2278, 2279, 2296, 2299, 2303, 2308], "numeric_onli": [28, 99, 100, 101, 102, 139, 140, 155, 156, 164, 165, 166, 170, 172, 200, 201, 202, 205, 225, 232, 242, 245, 283, 730, 731, 742, 743, 744, 746, 774, 775, 778, 800, 806, 817, 879, 910, 1155, 1156, 1158, 1160, 1161, 1169, 1174, 1175, 1177, 1178, 1179, 1180, 1181, 1189, 1190, 1195, 1198, 1199, 1200, 1205, 1217, 1218, 1226, 1236, 1237, 1238, 1239, 1240, 1250, 1251, 1256, 1259, 1260, 1261, 1267, 1276, 1281, 1282, 1283, 1284, 1285, 1290, 1292, 1294, 1295, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 2195, 2197, 2198, 2223, 2225, 2230, 2231, 2235, 2248, 2265, 2269, 2271, 2277, 2282, 2283, 2289, 2298], "numericindex": 2265, "numexpr": [22, 203, 1345, 1368, 1387, 1391, 1488, 1490, 2186, 2197, 2202, 2216, 2218, 2220, 2222, 2228, 2230, 2231, 2235, 2241, 2246, 2249, 2250, 2265, 2271, 2274, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "numexprclobberingerror": 2294, "numfocu": [34, 2229, 2241], "numpi": [1, 2, 3, 4, 6, 9, 12, 14, 15, 16, 17, 18, 19, 22, 34, 35, 40, 63, 68, 72, 73, 75, 76, 77, 82, 90, 91, 92, 98, 103, 104, 105, 106, 107, 110, 119, 137, 141, 142, 148, 149, 163, 164, 168, 170, 177, 178, 186, 187, 188, 190, 191, 192, 194, 195, 196, 197, 202, 219, 223, 224, 233, 234, 238, 242, 245, 249, 261, 266, 274, 282, 284, 286, 289, 310, 321, 322, 323, 324, 327, 334, 354, 356, 357, 359, 360, 361, 364, 366, 376, 388, 401, 402, 406, 407, 408, 413, 415, 416, 419, 420, 427, 430, 432, 435, 437, 441, 442, 443, 444, 457, 477, 493, 538, 562, 573, 575, 577, 581, 582, 584, 585, 586, 587, 588, 589, 590, 593, 602, 616, 621, 625, 626, 627, 628, 629, 632, 641, 677, 678, 679, 681, 682, 695, 699, 715, 716, 717, 725, 726, 741, 742, 745, 746, 755, 756, 762, 763, 764, 766, 767, 769, 770, 771, 776, 779, 786, 794, 798, 799, 807, 808, 817, 823, 827, 832, 850, 867, 875, 876, 877, 879, 882, 891, 893, 905, 909, 911, 912, 914, 916, 918, 931, 932, 933, 938, 945, 951, 955, 1005, 1007, 1027, 1028, 1029, 1030, 1031, 1042, 1044, 1045, 1051, 1056, 1059, 1060, 1061, 1064, 1068, 1076, 1101, 1109, 1116, 1118, 1121, 1122, 1123, 1124, 1140, 1142, 1144, 1145, 1148, 1149, 1164, 1173, 1188, 1190, 1194, 1202, 1203, 1207, 1208, 1221, 1231, 1232, 1249, 1251, 1255, 1263, 1264, 1269, 1270, 1304, 1305, 1306, 1318, 1320, 1321, 1322, 1323, 1335, 1337, 1343, 1345, 1385, 1388, 1390, 1391, 1458, 1465, 1488, 1490, 1491, 1493, 1498, 1499, 1657, 1677, 1699, 1720, 2163, 2167, 2184, 2185, 2186, 2192, 2193, 2195, 2196, 2198, 2199, 2200, 2202, 2203, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2213, 2214, 2217, 2218, 2219, 2220, 2222, 2223, 2224, 2225, 2228, 2229, 2230, 2235, 2236, 2238, 2239, 2240, 2241, 2242, 2243, 2248, 2249, 2250, 2257, 2263, 2265, 2266, 2267, 2270, 2271, 2276, 2277, 2281, 2282, 2283, 2289, 2293, 2294, 2297, 2299, 2300, 2308, 2310], "numpy_dtyp": [2186, 2298, 2302], "numpy_nul": [97, 620, 1468, 1469, 1470, 1471, 1472, 1475, 1476, 1477, 1478, 1481, 1482, 1483, 1484, 1486, 1487, 1499, 2199, 2298], "numpy_typ": 9, "numpydoc": [3, 4], "numpyeadtyp": 2302, "numpyextensionarrai": [2, 590, 1035, 1054, 1118, 1143, 2172, 2186, 2191, 2201, 2246, 2302], "numric": 2294, "nuniqu": [2186, 2195, 2220, 2221, 2225, 2228, 2230, 2234, 2235, 2238, 2249, 2255, 2265, 2267, 2271, 2277, 2283, 2289, 2298, 2307], "nw_lag": 2222, "nwai": 16, "nwrap": 873, "ny": 2249, "nya": 2191, "nyn": [2191, 2197, 2231], "o": [3, 12, 22, 31, 97, 107, 251, 254, 258, 263, 265, 266, 268, 272, 273, 276, 376, 620, 629, 699, 857, 884, 889, 895, 900, 902, 1095, 1164, 1221, 1388, 1432, 1433, 1434, 1469, 1470, 1471, 1472, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1482, 1485, 1486, 1487, 1491, 2163, 2185, 2186, 2196, 2197, 2199, 2208, 2210, 2216, 2217, 2218, 2220, 2232, 2242, 2243, 2248, 2249, 2265, 2267, 2292], "o0": 8, "o3": 30, "oa": 2199, "oa_comm": 2199, "oak": 2191, "oala": 864, "oauth2": [255, 1473], "oauth2client": [2221, 2226], "ob": 16, "obj": [2, 10, 342, 1080, 1083, 1089, 1091, 1092, 1094, 1096, 1098, 1100, 1101, 1102, 1103, 1107, 1108, 1146, 1170, 1227, 1277, 1441, 1442, 1449, 1450, 1493, 1494, 1495, 1496, 1509, 1527, 1545, 1563, 1583, 1604, 1623, 1640, 1662, 1683, 1704, 1725, 1744, 1779, 1798, 1820, 1860, 1933, 1950, 1985, 2003, 2040, 2058, 2093, 2111, 2130, 2148, 2165, 2185, 2192, 2197, 2199, 2208, 2220, 2230, 2246, 2249, 2250, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "obj_typ": 2199, "object": [2, 3, 7, 10, 11, 12, 15, 16, 17, 18, 19, 24, 25, 26, 29, 31, 32, 34, 39, 40, 41, 43, 44, 46, 47, 49, 50, 53, 55, 56, 58, 59, 60, 61, 62, 63, 65, 66, 69, 72, 73, 74, 77, 79, 81, 82, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 100, 107, 108, 109, 110, 115, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 129, 130, 131, 132, 133, 134, 135, 136, 137, 139, 140, 141, 142, 143, 144, 145, 146, 148, 149, 150, 152, 153, 154, 159, 160, 161, 163, 168, 169, 171, 173, 175, 176, 177, 178, 181, 182, 183, 184, 185, 186, 190, 198, 199, 202, 204, 205, 206, 207, 208, 209, 210, 212, 213, 214, 215, 216, 217, 218, 220, 221, 222, 223, 224, 226, 227, 230, 231, 233, 238, 240, 243, 244, 248, 249, 250, 251, 252, 253, 254, 256, 258, 259, 261, 262, 263, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 280, 282, 284, 285, 286, 288, 289, 291, 296, 298, 300, 301, 314, 318, 322, 323, 324, 325, 326, 327, 328, 331, 337, 341, 342, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 361, 362, 364, 365, 366, 367, 368, 369, 372, 375, 376, 381, 383, 386, 388, 389, 390, 391, 392, 393, 394, 395, 398, 399, 401, 402, 405, 407, 408, 411, 412, 413, 414, 416, 417, 418, 419, 420, 421, 424, 428, 429, 430, 431, 433, 434, 435, 436, 439, 440, 445, 455, 459, 461, 462, 469, 473, 476, 478, 481, 484, 490, 491, 492, 494, 504, 510, 539, 540, 541, 551, 562, 568, 569, 573, 574, 575, 581, 582, 583, 586, 590, 591, 593, 596, 597, 598, 600, 601, 602, 603, 604, 605, 608, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 624, 629, 630, 632, 634, 636, 637, 639, 641, 643, 652, 662, 667, 673, 677, 678, 679, 680, 681, 682, 683, 686, 690, 691, 693, 695, 696, 697, 698, 699, 700, 701, 702, 705, 708, 709, 712, 713, 717, 718, 719, 720, 721, 722, 723, 725, 726, 738, 740, 741, 745, 750, 751, 752, 754, 755, 756, 757, 758, 759, 760, 761, 762, 766, 778, 781, 782, 784, 785, 786, 787, 788, 789, 793, 798, 799, 801, 802, 804, 805, 807, 808, 816, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 831, 832, 833, 835, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 893, 895, 896, 899, 900, 902, 903, 904, 905, 907, 908, 909, 911, 912, 913, 916, 923, 932, 933, 938, 940, 943, 948, 950, 951, 952, 953, 956, 957, 960, 970, 993, 995, 997, 1001, 1004, 1005, 1009, 1010, 1013, 1014, 1018, 1031, 1034, 1039, 1043, 1057, 1060, 1063, 1064, 1069, 1071, 1072, 1077, 1079, 1080, 1082, 1083, 1086, 1088, 1089, 1090, 1091, 1092, 1096, 1099, 1100, 1101, 1102, 1103, 1105, 1106, 1107, 1108, 1109, 1112, 1113, 1116, 1117, 1118, 1125, 1127, 1128, 1136, 1139, 1143, 1146, 1147, 1148, 1149, 1152, 1153, 1154, 1156, 1164, 1165, 1166, 1167, 1168, 1170, 1173, 1174, 1175, 1182, 1187, 1188, 1190, 1191, 1192, 1193, 1194, 1196, 1198, 1202, 1203, 1206, 1207, 1208, 1211, 1212, 1213, 1215, 1221, 1222, 1223, 1224, 1225, 1227, 1230, 1241, 1242, 1243, 1248, 1249, 1251, 1252, 1253, 1254, 1255, 1257, 1259, 1263, 1264, 1265, 1268, 1269, 1270, 1277, 1289, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1350, 1354, 1387, 1388, 1390, 1391, 1394, 1395, 1398, 1400, 1401, 1403, 1404, 1407, 1412, 1415, 1431, 1432, 1433, 1434, 1440, 1441, 1442, 1443, 1446, 1449, 1450, 1452, 1453, 1454, 1455, 1456, 1457, 1458, 1460, 1461, 1463, 1465, 1466, 1467, 1468, 1469, 1470, 1471, 1472, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1490, 1493, 1494, 1495, 1496, 1498, 1502, 1657, 1677, 1699, 1720, 2163, 2164, 2165, 2168, 2169, 2172, 2180, 2181, 2187, 2190, 2191, 2192, 2193, 2194, 2196, 2198, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2209, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2228, 2229, 2230, 2231, 2233, 2234, 2235, 2236, 2239, 2241, 2242, 2243, 2246, 2247, 2248, 2250, 2253, 2254, 2256, 2257, 2258, 2260, 2261, 2263, 2265, 2266, 2267, 2269, 2270, 2271, 2273, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2292, 2293, 2294, 2295, 2296, 2299, 2300, 2303, 2304, 2305, 2306, 2307, 2308, 2309], "object_": [2186, 2246, 2289, 2298, 2302], "objects_to_datetime64": 2210, "objects_to_datetime64n": 2298, "objtojson": 2266, "obliqu": 1433, "observ": [16, 19, 29, 34, 74, 79, 87, 89, 99, 102, 107, 121, 122, 124, 125, 127, 134, 157, 169, 181, 182, 185, 192, 207, 208, 218, 414, 486, 583, 591, 598, 601, 622, 623, 624, 629, 696, 697, 700, 701, 703, 709, 732, 758, 759, 760, 781, 782, 793, 1008, 1040, 1052, 1155, 1158, 1164, 1167, 1182, 1193, 1196, 1213, 1215, 1221, 1224, 1241, 1254, 1257, 1275, 1298, 1299, 1306, 1307, 1308, 1323, 1324, 1325, 1446, 1454, 2166, 2184, 2185, 2186, 2188, 2191, 2193, 2197, 2199, 2200, 2201, 2204, 2210, 2211, 2212, 2214, 2217, 2221, 2222, 2227, 2228, 2229, 2232, 2235, 2240, 2246, 2249, 2250, 2265, 2271, 2289, 2295, 2298, 2302, 2307], "obsolet": 2241, "obtain": [22, 97, 155, 156, 205, 376, 620, 699, 730, 731, 778, 1388, 1499, 2195, 2196, 2199, 2210, 2216, 2221, 2228, 2246, 2247, 2258, 2278, 2298], "obviou": [2, 3, 2186, 2197, 2238, 2240], "occas": 3, "occasion": [5, 13, 1433, 2186, 2194, 2197, 2199], "occupi": 2223, "occur": [2, 14, 16, 17, 18, 19, 63, 278, 281, 286, 320, 331, 436, 473, 514, 516, 686, 692, 823, 873, 904, 908, 953, 1014, 1136, 1204, 1345, 1347, 1391, 1397, 1430, 1469, 1470, 1485, 1486, 1488, 1490, 1499, 1510, 1511, 1513, 1514, 1515, 1516, 1528, 1529, 1531, 1532, 1533, 1534, 1546, 1547, 1549, 1550, 1551, 1552, 1564, 1565, 1567, 1568, 1569, 1570, 1584, 1585, 1587, 1588, 1589, 1590, 1605, 1606, 1608, 1609, 1610, 1611, 1624, 1625, 1627, 1628, 1629, 1630, 1641, 1642, 1644, 1645, 1646, 1647, 1663, 1664, 1666, 1667, 1668, 1669, 1684, 1685, 1687, 1688, 1689, 1690, 1705, 1706, 1708, 1709, 1710, 1711, 1726, 1727, 1729, 1730, 1731, 1732, 1745, 1746, 1748, 1749, 1750, 1751, 1763, 1764, 1766, 1767, 1768, 1769, 1780, 1781, 1783, 1784, 1785, 1786, 1799, 1800, 1802, 1803, 1804, 1805, 1821, 1822, 1824, 1825, 1826, 1827, 1844, 1845, 1847, 1848, 1849, 1850, 1861, 1862, 1864, 1865, 1866, 1867, 1881, 1882, 1884, 1885, 1886, 1887, 1899, 1900, 1902, 1903, 1904, 1905, 1917, 1918, 1920, 1921, 1922, 1923, 1934, 1935, 1937, 1938, 1939, 1940, 1951, 1952, 1954, 1955, 1956, 1957, 1969, 1970, 1972, 1973, 1974, 1975, 1986, 1987, 1989, 1990, 1991, 1992, 2004, 2005, 2007, 2008, 2009, 2010, 2023, 2024, 2026, 2027, 2028, 2029, 2041, 2042, 2044, 2045, 2046, 2047, 2059, 2060, 2062, 2063, 2064, 2065, 2077, 2078, 2080, 2081, 2082, 2083, 2094, 2095, 2097, 2098, 2099, 2100, 2112, 2113, 2115, 2116, 2117, 2118, 2131, 2132, 2134, 2135, 2136, 2137, 2149, 2150, 2152, 2153, 2154, 2155, 2172, 2186, 2194, 2195, 2197, 2199, 2201, 2202, 2203, 2210, 2212, 2224, 2235, 2238, 2246, 2248, 2263, 2271, 2272, 2274, 2278, 2283, 2285, 2294, 2298, 2307], "occurr": [112, 116, 139, 140, 176, 179, 192, 369, 373, 634, 692, 715, 716, 754, 757, 824, 831, 845, 853, 857, 861, 1049, 1174, 1175, 1231, 1232, 1242, 1243, 2197, 2208, 2217, 2220, 2248], "oct": [532, 1699, 1720, 2199, 2210], "octob": [2199, 2210, 2213, 2294], "od": [17, 22, 337, 341, 1345, 1391, 1470, 1488, 1490, 2196, 2202, 2265, 2271, 2294, 2307], "odd": [750, 1433, 2199, 2225, 2235, 2272], "odd_prim": [240, 816], "odf": [22, 337, 341, 1345, 1391, 1470, 1488, 1490, 2199, 2202, 2249, 2274, 2307], "odfpi": [22, 2199, 2294], "odswrit": [341, 2307], "odt": [22, 337, 1470, 2199], "off": [0, 2, 4, 8, 13, 15, 97, 134, 620, 709, 1466, 1498, 1741, 2194, 2199, 2205, 2211, 2219, 2220, 2226, 2235, 2242], "offend": [2195, 2217, 2298], "offer": [0, 2, 10, 15, 18, 1051, 1152, 1211, 2185, 2186, 2193, 2199, 2205, 2210, 2211, 2235, 2265, 2307], "offici": [5, 13, 22, 322, 562, 677, 2199, 2220, 2232, 2235, 2289], "offload": 2193, "offset": [2, 16, 17, 19, 31, 84, 88, 127, 157, 213, 218, 230, 270, 286, 288, 296, 318, 330, 345, 423, 510, 538, 595, 600, 639, 652, 673, 685, 703, 732, 788, 793, 804, 898, 938, 940, 943, 948, 983, 1020, 1075, 1122, 1141, 1144, 1192, 1193, 1253, 1254, 1344, 1469, 1486, 1498, 1502, 2172, 2184, 2195, 2199, 2209, 2212, 2215, 2217, 2218, 2219, 2220, 2221, 2222, 2224, 2225, 2226, 2227, 2228, 2230, 2231, 2234, 2235, 2236, 2238, 2243, 2261, 2265, 2267, 2275, 2277, 2283, 2284, 2285, 2289, 2302], "often": [1, 2, 3, 5, 16, 17, 19, 162, 172, 748, 2185, 2186, 2191, 2193, 2194, 2195, 2199, 2204, 2206, 2207, 2210, 2211, 2212, 2214, 2238, 2307], "oftentim": [2197, 2199], "og": [823, 864], "oh": [1443, 2199], "ohio": [1443, 2199], "ohlc": [1352, 2195, 2210, 2238, 2245, 2283, 2294, 2298, 2302], "ok": [3, 2185, 2197, 2199, 2205, 2249, 2257], "okai": [1, 2193], "ol": [1387, 2186, 2222, 2227, 2230, 2235, 2255], "old": [11, 41, 50, 53, 58, 60, 61, 62, 200, 201, 214, 225, 242, 245, 283, 337, 605, 608, 611, 613, 614, 615, 774, 775, 800, 817, 879, 910, 1045, 1345, 1391, 1444, 1470, 1488, 1490, 2185, 2186, 2188, 2192, 2202, 2214, 2220, 2221, 2222, 2224, 2225, 2226, 2228, 2230, 2235, 2238, 2241, 2246, 2265, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "old_func": 2, "older": [2, 13, 25, 2217, 2219, 2228, 2230, 2232, 2238, 2241, 2279, 2283, 2284, 2289], "oldid": 2199, "olson": [35, 2210], "omit": [3, 4, 5, 8, 9, 107, 111, 117, 148, 149, 177, 178, 185, 250, 281, 402, 589, 629, 693, 725, 726, 755, 756, 821, 883, 983, 1118, 1164, 1204, 1221, 1344, 1345, 1391, 1393, 1454, 1474, 1478, 1488, 1490, 1497, 2188, 2199, 2200, 2202, 2204, 2206, 2212, 2246, 2249, 2289, 2294], "omnibu": [2186, 2227], "omnivor": 211, "on_bad_lin": [16, 17, 18, 19, 1469, 1486, 2199, 2203, 2232, 2235, 2283, 2289, 2294, 2298, 2307], "on_conflict_do_noth": [267, 896], "on_demand": 2199, "on_duplicate_key_upd": [267, 896], "onc": [1, 2, 4, 5, 6, 13, 17, 18, 27, 32, 77, 153, 223, 230, 253, 255, 267, 586, 798, 804, 831, 886, 896, 1194, 1255, 1395, 1397, 1398, 1408, 1409, 1430, 1431, 1469, 1470, 1476, 1486, 2186, 2190, 2193, 2197, 2199, 2200, 2202, 2205, 2207, 2218, 2220, 2223, 2230, 2235, 2240, 2246, 2298], "one": [0, 1, 2, 3, 4, 6, 7, 9, 10, 12, 13, 15, 16, 17, 18, 19, 22, 25, 26, 29, 30, 31, 32, 56, 62, 63, 69, 72, 73, 75, 76, 79, 81, 82, 95, 100, 102, 109, 112, 114, 121, 126, 129, 137, 141, 153, 160, 167, 169, 171, 173, 184, 185, 186, 188, 189, 192, 193, 195, 199, 203, 204, 206, 207, 208, 209, 212, 213, 214, 215, 216, 217, 220, 221, 222, 224, 228, 230, 233, 238, 240, 241, 244, 247, 251, 253, 255, 257, 258, 259, 262, 265, 267, 268, 269, 272, 275, 279, 280, 281, 282, 325, 330, 331, 342, 345, 346, 351, 362, 363, 366, 381, 383, 401, 405, 431, 459, 462, 478, 485, 488, 491, 493, 500, 501, 532, 578, 581, 582, 584, 585, 591, 593, 615, 617, 618, 631, 632, 685, 686, 694, 696, 702, 706, 707, 710, 717, 724, 734, 738, 739, 747, 748, 749, 753, 762, 764, 765, 768, 770, 773, 777, 780, 781, 782, 787, 788, 789, 790, 791, 792, 795, 796, 797, 804, 807, 816, 821, 823, 828, 829, 831, 836, 837, 838, 839, 840, 841, 842, 843, 844, 846, 853, 857, 861, 878, 880, 884, 886, 887, 889, 890, 895, 896, 897, 901, 906, 911, 916, 950, 953, 1031, 1041, 1064, 1076, 1111, 1122, 1123, 1124, 1125, 1128, 1146, 1148, 1149, 1156, 1158, 1173, 1179, 1187, 1188, 1194, 1203, 1204, 1207, 1208, 1238, 1248, 1249, 1255, 1264, 1269, 1270, 1289, 1304, 1316, 1318, 1320, 1321, 1333, 1335, 1337, 1342, 1344, 1345, 1358, 1365, 1389, 1390, 1398, 1402, 1403, 1406, 1416, 1431, 1433, 1440, 1444, 1445, 1446, 1448, 1453, 1454, 1457, 1468, 1469, 1470, 1473, 1475, 1476, 1479, 1480, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1498, 1620, 1930, 1947, 2166, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2207, 2208, 2210, 2211, 2212, 2214, 2215, 2217, 2218, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2230, 2231, 2232, 2235, 2238, 2240, 2241, 2246, 2247, 2249, 2250, 2257, 2260, 2261, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2282, 2283, 2284, 2286, 2289, 2290, 2294, 2298, 2299, 2302], "one1": [836, 837, 838, 839, 840, 841, 842, 843, 844], "one_of": 2, "one_to_mani": [153, 169, 1446, 2200], "one_to_on": [153, 169, 1365, 1446, 2200], "one_trunc": 2191, "ones": [1, 2, 3, 9, 13, 41, 50, 53, 58, 59, 60, 61, 81, 96, 168, 363, 445, 605, 608, 611, 612, 613, 614, 619, 1034, 1114, 1469, 1486, 1487, 1498, 2186, 2195, 2197, 2199, 2210, 2212, 2217, 2241, 2277, 2302], "ones_lik": 2218, "onethreetwo": 2195, "onetwotwoonethre": 2195, "ongo": [0, 2], "onli": [1, 2, 3, 4, 5, 6, 7, 9, 10, 13, 14, 17, 18, 19, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 39, 49, 55, 63, 68, 74, 75, 76, 77, 79, 80, 83, 85, 86, 89, 90, 96, 98, 99, 100, 101, 102, 107, 111, 112, 114, 116, 117, 120, 121, 122, 124, 125, 134, 138, 139, 140, 144, 146, 147, 155, 156, 164, 165, 166, 169, 170, 172, 185, 186, 188, 189, 195, 200, 201, 202, 205, 207, 208, 209, 210, 212, 213, 214, 218, 225, 232, 233, 234, 240, 242, 245, 252, 253, 256, 257, 258, 266, 268, 269, 272, 273, 276, 278, 280, 282, 283, 286, 288, 296, 310, 318, 331, 337, 341, 345, 346, 354, 370, 376, 378, 380, 381, 391, 392, 393, 394, 395, 398, 399, 401, 406, 417, 423, 426, 435, 436, 455, 462, 464, 465, 466, 469, 473, 483, 489, 532, 573, 577, 583, 584, 585, 586, 589, 591, 592, 594, 596, 601, 602, 619, 621, 629, 633, 639, 652, 673, 686, 693, 696, 697, 699, 700, 701, 709, 714, 720, 730, 731, 742, 743, 744, 746, 748, 762, 764, 765, 770, 774, 775, 778, 781, 782, 783, 784, 787, 788, 789, 793, 800, 806, 807, 808, 812, 816, 817, 823, 828, 829, 832, 836, 837, 838, 839, 840, 841, 842, 843, 844, 862, 866, 873, 879, 886, 888, 889, 900, 902, 904, 908, 910, 931, 940, 943, 945, 948, 953, 957, 970, 997, 1007, 1014, 1031, 1040, 1041, 1045, 1052, 1058, 1059, 1068, 1069, 1071, 1072, 1076, 1116, 1122, 1128, 1130, 1136, 1144, 1145, 1146, 1148, 1149, 1152, 1155, 1156, 1158, 1164, 1166, 1167, 1169, 1174, 1175, 1177, 1178, 1179, 1180, 1181, 1183, 1188, 1189, 1190, 1192, 1193, 1195, 1198, 1199, 1200, 1203, 1205, 1207, 1208, 1211, 1221, 1223, 1224, 1226, 1236, 1237, 1238, 1239, 1240, 1244, 1249, 1250, 1251, 1253, 1254, 1256, 1259, 1260, 1261, 1264, 1267, 1274, 1276, 1280, 1281, 1283, 1284, 1286, 1290, 1292, 1294, 1295, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1305, 1306, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1343, 1345, 1358, 1387, 1388, 1389, 1390, 1391, 1394, 1400, 1406, 1407, 1421, 1423, 1431, 1433, 1435, 1446, 1447, 1448, 1454, 1467, 1469, 1470, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1482, 1483, 1485, 1486, 1487, 1488, 1490, 1492, 1493, 1494, 1495, 1496, 1497, 1498, 1499, 2167, 2180, 2185, 2186, 2187, 2188, 2191, 2193, 2194, 2195, 2196, 2197, 2199, 2200, 2201, 2202, 2204, 2205, 2206, 2207, 2208, 2210, 2211, 2212, 2214, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2235, 2236, 2238, 2239, 2240, 2241, 2242, 2243, 2245, 2246, 2247, 2248, 2250, 2255, 2261, 2269, 2272, 2273, 2275, 2276, 2277, 2278, 2283, 2289, 2294, 2295, 2297, 2298, 2302, 2307], "onlin": [3, 21, 186, 762, 1188, 1249, 1469, 1472, 1486, 2186, 2199, 2207, 2212, 2283, 2298], "online_ewm": 2212, "online_ewma": 2212, "onlineexponentialmovingwindow": 2212, "onoffset": [2265, 2298], "onto": [3, 241, 1469, 1486, 2199], "oo": [857, 2242], "oof": [857, 2208], "op": [10, 1059, 1478, 2184, 2186, 2188, 2194, 2200, 2209, 2220, 2221, 2224, 2228, 2229, 2230, 2232, 2236, 2257, 2263, 2271, 2277, 2280, 2289, 2294, 2298], "opac": 2207, "open": [0, 1, 2, 3, 4, 5, 6, 13, 16, 17, 18, 19, 22, 34, 35, 36, 88, 144, 251, 253, 256, 257, 258, 260, 262, 263, 265, 268, 272, 341, 436, 445, 447, 448, 453, 454, 455, 469, 473, 599, 600, 884, 886, 888, 889, 892, 895, 908, 1136, 1145, 1185, 1246, 1288, 1344, 1351, 1376, 1394, 1407, 1411, 1431, 1469, 1470, 1471, 1472, 1474, 1475, 1476, 1478, 1479, 1485, 1486, 1487, 2185, 2199, 2207, 2210, 2212, 2217, 2218, 2227, 2229, 2231, 2232, 2235, 2237, 2238, 2246, 2249, 2261, 2265, 2277, 2278, 2279, 2280, 2282, 2289, 2294, 2298], "open_fil": 2199, "open_left": [447, 454], "open_right": [448, 453], "open_workbook": 2199, "openaq": [26, 27, 29, 30, 31], "opendata": 2199, "opendocu": [337, 341, 1470, 2196, 2249, 2271, 2307], "opendocumentspreadsheet": [341, 2199], "openerdirector": [16, 17, 18, 19, 2199, 2235], "openfil": 2199, "openoffic": 2271, "openpyxl": [22, 253, 337, 341, 886, 1345, 1391, 1431, 1470, 1488, 1490, 2199, 2202, 2207, 2220, 2221, 2222, 2228, 2229, 2235, 2241, 2246, 2249, 2258, 2265, 2271, 2277, 2279, 2283, 2289, 2294, 2302, 2307], "openpyxl1": 2222, "openpyxl2": 2222, "oper": [2, 3, 13, 15, 20, 21, 22, 23, 25, 27, 28, 30, 31, 32, 34, 35, 39, 46, 49, 63, 69, 72, 73, 77, 79, 85, 92, 95, 103, 104, 105, 106, 108, 109, 111, 118, 120, 121, 122, 129, 132, 134, 135, 147, 153, 159, 161, 163, 171, 173, 175, 199, 200, 201, 203, 204, 206, 212, 215, 216, 217, 218, 220, 221, 222, 234, 244, 245, 256, 267, 273, 275, 278, 279, 280, 284, 288, 296, 318, 342, 345, 346, 351, 445, 573, 578, 581, 582, 586, 591, 596, 616, 618, 622, 625, 626, 627, 628, 630, 631, 633, 634, 636, 639, 652, 673, 694, 696, 697, 706, 707, 709, 710, 724, 734, 739, 741, 747, 749, 753, 773, 774, 775, 777, 780, 787, 789, 790, 791, 792, 793, 795, 796, 797, 807, 808, 829, 864, 878, 879, 888, 896, 900, 901, 904, 912, 940, 943, 948, 1032, 1041, 1068, 1070, 1121, 1148, 1149, 1165, 1169, 1174, 1175, 1177, 1178, 1179, 1181, 1183, 1189, 1191, 1192, 1193, 1196, 1198, 1199, 1200, 1202, 1203, 1205, 1207, 1208, 1213, 1222, 1226, 1236, 1237, 1238, 1240, 1244, 1250, 1252, 1253, 1254, 1257, 1259, 1260, 1261, 1263, 1264, 1267, 1269, 1270, 1276, 1281, 1290, 1295, 1300, 1302, 1304, 1310, 1311, 1312, 1313, 1318, 1319, 1320, 1321, 1327, 1328, 1329, 1330, 1335, 1336, 1337, 1345, 1350, 1351, 1352, 1355, 1385, 1387, 1389, 1391, 1415, 1447, 1476, 1478, 1485, 1488, 1490, 1491, 2172, 2185, 2190, 2192, 2193, 2196, 2199, 2200, 2202, 2204, 2205, 2208, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2236, 2238, 2241, 2242, 2243, 2248, 2249, 2250, 2253, 2254, 2255, 2260, 2261, 2264, 2266, 2267, 2271, 2272, 2273, 2274, 2275, 2276, 2278, 2279, 2284, 2289, 2292, 2295, 2296, 2298, 2299, 2303, 2305, 2307], "operand": [2193, 2201, 2209, 2222, 2230, 2235, 2246, 2271, 2276, 2277, 2289], "operationalerror": 2277, "oppos": [72, 73, 581, 582, 1269, 1270, 1304, 1321, 2186, 2191, 2195, 2199, 2230, 2249, 2261, 2271, 2298], "opposit": [3, 16, 19, 32, 77, 214, 228, 2204], "opsmixin": 2186, "opt": [1345, 1391, 1488, 1490, 1498, 2199, 2202, 2246, 2302, 2307], "optim": [5, 8, 16, 22, 144, 2184, 2185, 2186, 2188, 2193, 2196, 2197, 2199, 2210, 2215, 2220, 2242, 2246, 2253, 2256, 2261, 2265, 2298], "optimis": 2193, "option": [3, 9, 10, 11, 16, 17, 18, 19, 23, 26, 30, 39, 44, 46, 49, 61, 65, 74, 79, 82, 91, 97, 98, 99, 102, 107, 108, 111, 112, 114, 116, 121, 137, 143, 144, 145, 146, 148, 149, 153, 167, 168, 169, 177, 178, 182, 183, 184, 185, 186, 187, 188, 189, 191, 192, 193, 194, 195, 196, 197, 202, 207, 208, 209, 210, 212, 213, 214, 218, 223, 226, 227, 230, 233, 234, 237, 251, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 267, 268, 269, 270, 272, 274, 276, 277, 278, 280, 281, 286, 291, 310, 314, 321, 326, 328, 337, 341, 346, 351, 352, 354, 358, 365, 378, 401, 406, 417, 420, 421, 423, 427, 430, 433, 435, 436, 459, 462, 463, 464, 465, 478, 479, 481, 485, 486, 487, 488, 489, 492, 505, 540, 563, 568, 573, 575, 583, 591, 593, 614, 617, 620, 621, 622, 624, 629, 630, 633, 636, 643, 667, 680, 696, 713, 719, 720, 725, 726, 745, 755, 756, 760, 761, 762, 763, 764, 765, 767, 768, 769, 770, 771, 776, 781, 782, 783, 784, 787, 788, 789, 793, 798, 799, 801, 802, 804, 807, 808, 823, 825, 826, 828, 829, 832, 850, 862, 864, 865, 866, 873, 880, 884, 886, 887, 888, 889, 890, 892, 893, 894, 895, 896, 897, 898, 902, 903, 904, 908, 911, 914, 915, 938, 945, 952, 953, 995, 1037, 1038, 1044, 1061, 1063, 1064, 1067, 1118, 1122, 1123, 1124, 1128, 1141, 1142, 1144, 1146, 1148, 1149, 1152, 1153, 1154, 1155, 1158, 1164, 1166, 1173, 1187, 1188, 1193, 1194, 1196, 1203, 1204, 1207, 1208, 1211, 1212, 1213, 1215, 1221, 1223, 1230, 1248, 1249, 1254, 1255, 1257, 1264, 1271, 1272, 1274, 1275, 1280, 1286, 1289, 1298, 1299, 1306, 1308, 1314, 1323, 1325, 1331, 1342, 1343, 1344, 1345, 1350, 1370, 1374, 1380, 1381, 1387, 1388, 1391, 1394, 1395, 1396, 1397, 1398, 1403, 1404, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1414, 1415, 1416, 1418, 1419, 1421, 1423, 1430, 1431, 1432, 1433, 1434, 1444, 1445, 1446, 1447, 1448, 1451, 1452, 1453, 1454, 1455, 1456, 1457, 1458, 1460, 1461, 1462, 1463, 1465, 1467, 1469, 1470, 1471, 1472, 1473, 1474, 1475, 1476, 1477, 1478, 1479, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1489, 1490, 1493, 1500, 1793, 1815, 2166, 2172, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2196, 2197, 2198, 2200, 2203, 2205, 2207, 2208, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2229, 2230, 2231, 2232, 2235, 2238, 2239, 2241, 2247, 2249, 2250, 2253, 2254, 2255, 2256, 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2269, 2271, 2272, 2283, 2294, 2302, 2304, 2306, 2307], "option_context": [98, 621, 1118, 2185, 2190, 2194, 2197, 2202, 2207, 2220, 2271, 2283, 2294, 2298], "option_nam": [1391, 1488, 1490], "optional_arg": 2217, "optional_extra": 2298, "optionerror": [1391, 1490, 2202, 2241, 2271], "optlevel": 2199, "oracl": [18, 267, 896, 2199, 2220, 2307, 2308], "orang": [384, 392, 399, 400, 401, 2199, 2214], "orc": [22, 256, 262, 263, 888, 1477, 2172, 2196], "order": [3, 9, 10, 12, 13, 17, 18, 19, 29, 32, 34, 39, 40, 41, 42, 43, 44, 46, 47, 49, 51, 52, 53, 54, 55, 56, 61, 62, 63, 65, 74, 81, 82, 86, 91, 102, 110, 123, 131, 134, 146, 153, 169, 176, 179, 205, 211, 233, 234, 256, 263, 278, 281, 286, 288, 296, 318, 331, 353, 361, 375, 404, 416, 420, 425, 427, 435, 436, 445, 498, 499, 502, 503, 505, 573, 583, 589, 593, 606, 607, 608, 614, 615, 639, 652, 673, 686, 698, 709, 718, 720, 748, 754, 757, 778, 779, 785, 799, 807, 808, 873, 888, 904, 905, 908, 938, 940, 943, 948, 1042, 1043, 1059, 1061, 1117, 1118, 1142, 1158, 1172, 1182, 1191, 1201, 1202, 1204, 1229, 1241, 1242, 1243, 1252, 1262, 1265, 1280, 1315, 1332, 1338, 1339, 1340, 1341, 1343, 1380, 1381, 1417, 1436, 1446, 1447, 1448, 1458, 1469, 1473, 1477, 1485, 1486, 1487, 1494, 1495, 1496, 1498, 2163, 2167, 2184, 2185, 2186, 2191, 2193, 2196, 2199, 2200, 2201, 2204, 2208, 2209, 2210, 2211, 2212, 2216, 2217, 2218, 2220, 2222, 2224, 2225, 2226, 2228, 2230, 2231, 2232, 2236, 2238, 2242, 2246, 2255, 2257, 2261, 2264, 2265, 2269, 2273, 2274, 2277, 2283, 2284, 2289, 2294, 2298, 2300, 2302, 2303, 2307], "order_categor": [1485, 2199, 2224], "ordered": [46, 55, 2238], "ordered_merg": [2222, 2232, 2241, 2261], "ordereddict": [252, 885, 2186, 2232, 2241, 2249], "ordin": [3, 293, 295, 326, 510, 540, 544, 546, 553, 564, 566, 645, 647, 680, 871, 972, 1011, 1141, 2210, 2220, 2224, 2238, 2239, 2274, 2307], "ordinari": [1469, 1486, 2199, 2212], "ordinarili": 2199, "org": [0, 5, 13, 22, 35, 36, 66, 203, 265, 267, 352, 862, 866, 895, 896, 923, 999, 1272, 1275, 1306, 1323, 1457, 1474, 1793, 1815, 2197, 2199, 2207, 2208, 2211, 2222, 2238, 2294, 2302, 2307], "organ": [13, 34, 167, 184, 1445, 1453, 2210, 2229, 2241], "orient": [34, 65, 130, 252, 258, 889, 953, 1476, 2191, 2211, 2218, 2222, 2227, 2228, 2231, 2232, 2235, 2239, 2242, 2247, 2248, 2249, 2255, 2265, 2271, 2277, 2283, 2284, 2289, 2292, 2294, 2298, 2302, 2308], "orig": 2283, "origin": [1, 2, 3, 6, 13, 16, 17, 18, 19, 25, 30, 56, 74, 75, 76, 77, 79, 81, 82, 88, 96, 98, 115, 120, 134, 153, 163, 167, 168, 207, 208, 213, 230, 233, 241, 250, 267, 272, 274, 280, 284, 285, 306, 307, 308, 309, 316, 325, 328, 345, 363, 364, 370, 378, 417, 431, 433, 465, 483, 489, 498, 502, 505, 532, 573, 583, 584, 585, 591, 593, 600, 619, 621, 637, 658, 659, 660, 661, 670, 682, 683, 709, 741, 781, 782, 788, 789, 804, 807, 812, 836, 837, 838, 839, 840, 841, 842, 843, 844, 854, 855, 864, 865, 883, 896, 907, 911, 912, 913, 950, 952, 1034, 1036, 1040, 1042, 1051, 1052, 1067, 1172, 1201, 1203, 1229, 1262, 1264, 1272, 1275, 1280, 1286, 1298, 1299, 1300, 1301, 1302, 1303, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1350, 1390, 1400, 1445, 1459, 1463, 1469, 1477, 1486, 1487, 1498, 2185, 2186, 2191, 2192, 2193, 2195, 2197, 2199, 2200, 2201, 2204, 2205, 2207, 2208, 2215, 2217, 2218, 2220, 2222, 2223, 2225, 2228, 2230, 2232, 2236, 2238, 2240, 2241, 2246, 2249, 2264, 2265, 2267, 2277, 2289, 2293, 2294, 2298, 2302, 2304, 2307], "original_df": [265, 895, 1478, 1479], "original_dtyp": 2188, "original_label": [2185, 2197], "original_pric": 2294, "oserror": [16, 17, 18, 19, 2199, 2235, 2289, 2292], "oslo": [1397, 1430], "oss": [16, 17, 18, 19, 2199, 2235], "ostrich": [172, 1150, 1151, 1209, 1210], "other": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 13, 18, 21, 24, 26, 27, 29, 30, 31, 34, 42, 54, 55, 62, 65, 69, 74, 82, 89, 91, 94, 95, 96, 100, 109, 110, 114, 116, 118, 119, 121, 124, 125, 129, 132, 135, 137, 142, 147, 153, 159, 161, 163, 167, 169, 171, 172, 173, 175, 183, 185, 188, 189, 197, 199, 203, 204, 206, 207, 208, 212, 214, 215, 216, 217, 218, 220, 221, 222, 227, 228, 233, 241, 244, 251, 253, 258, 260, 262, 263, 265, 268, 272, 275, 280, 284, 330, 341, 358, 367, 373, 375, 376, 386, 389, 390, 404, 429, 434, 439, 455, 461, 473, 479, 504, 568, 578, 583, 593, 599, 601, 615, 617, 618, 619, 622, 624, 631, 632, 685, 692, 694, 695, 696, 699, 700, 701, 706, 707, 710, 734, 739, 741, 747, 749, 753, 761, 764, 765, 773, 777, 780, 781, 782, 787, 790, 791, 792, 793, 795, 796, 797, 802, 807, 809, 821, 824, 831, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 862, 866, 878, 884, 886, 889, 892, 895, 901, 907, 912, 953, 1031, 1040, 1050, 1052, 1064, 1076, 1094, 1118, 1127, 1136, 1146, 1154, 1156, 1167, 1173, 1192, 1213, 1215, 1224, 1253, 1298, 1299, 1306, 1308, 1323, 1325, 1343, 1344, 1345, 1374, 1379, 1388, 1390, 1391, 1400, 1406, 1415, 1422, 1431, 1433, 1445, 1446, 1454, 1458, 1469, 1470, 1471, 1475, 1476, 1478, 1479, 1480, 1485, 1486, 1487, 1488, 1490, 1491, 1499, 2172, 2185, 2187, 2188, 2190, 2191, 2192, 2193, 2194, 2196, 2197, 2198, 2200, 2201, 2202, 2203, 2204, 2208, 2209, 2210, 2212, 2213, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2229, 2242, 2244, 2247, 2248, 2252, 2264, 2266, 2267, 2268, 2269, 2270, 2272, 2275, 2279, 2280, 2281, 2282, 2284, 2285, 2286, 2288, 2291, 2305, 2306], "other_d": 2186, "other_schema": [2199, 2222], "otherwis": [1, 2, 3, 9, 13, 29, 34, 39, 55, 56, 75, 76, 77, 79, 96, 97, 111, 119, 120, 121, 122, 130, 131, 134, 137, 153, 163, 169, 174, 186, 212, 218, 219, 228, 231, 233, 240, 251, 257, 258, 259, 265, 267, 268, 269, 272, 277, 278, 284, 298, 337, 341, 345, 375, 376, 386, 390, 401, 420, 421, 428, 491, 532, 533, 551, 563, 584, 585, 591, 619, 620, 695, 696, 697, 699, 709, 741, 762, 776, 787, 793, 799, 807, 808, 816, 818, 821, 823, 828, 829, 884, 889, 890, 895, 896, 897, 903, 904, 912, 1045, 1076, 1078, 1094, 1117, 1118, 1146, 1148, 1149, 1150, 1151, 1165, 1173, 1174, 1175, 1183, 1188, 1191, 1193, 1196, 1198, 1202, 1204, 1207, 1208, 1209, 1210, 1222, 1244, 1249, 1252, 1254, 1257, 1259, 1263, 1345, 1387, 1388, 1394, 1400, 1403, 1404, 1432, 1433, 1434, 1446, 1452, 1469, 1470, 1475, 1476, 1479, 1480, 1483, 1485, 1486, 1487, 1498, 1499, 2184, 2185, 2188, 2190, 2191, 2193, 2194, 2197, 2199, 2208, 2209, 2210, 2211, 2212, 2220, 2222, 2228, 2230, 2231, 2232, 2240, 2241, 2249, 2261, 2294, 2298, 2302], "our": [0, 2, 3, 4, 5, 10, 13, 14, 18, 23, 28, 31, 34, 117, 184, 249, 693, 882, 1193, 1202, 1254, 1338, 1339, 1340, 1341, 1433, 1453, 2166, 2185, 2193, 2195, 2205, 2207, 2211, 2219, 2238, 2241, 2246, 2309, 2310], "out": [1, 2, 3, 4, 5, 7, 12, 13, 15, 16, 17, 18, 19, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 36, 138, 141, 251, 253, 255, 256, 257, 258, 259, 269, 494, 590, 714, 717, 862, 866, 884, 886, 888, 889, 890, 893, 1064, 1069, 1071, 1072, 1170, 1227, 1277, 1343, 1345, 1390, 1391, 1431, 1467, 1470, 1473, 1478, 1488, 1490, 1498, 2184, 2185, 2186, 2187, 2190, 2191, 2192, 2193, 2194, 2195, 2196, 2197, 2198, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2234, 2235, 2238, 2240, 2241, 2243, 2246, 2249, 2253, 2257, 2260, 2261, 2263, 2264, 2265, 2266, 2267, 2271, 2276, 2277, 2278, 2283, 2289, 2294, 2295, 2298, 2302, 2307], "outbound": 2302, "outcom": 2201, "outer": [16, 17, 19, 25, 30, 74, 153, 169, 404, 583, 821, 1146, 1345, 1391, 1446, 1448, 1478, 1488, 1490, 2186, 2200, 2202, 2208, 2228, 2232, 2241, 2249, 2265, 2277, 2286, 2287, 2294, 2298, 2307], "outer_join": [16, 17, 19], "outer_join_index": 2228, "outer_join_no_nul": 16, "outer_join_nul": 16, "outermost": 1146, "outfil": 16, "outlier": [91, 190, 766, 1458], "outlin": 13, "outofbound": 2246, "outofboundsdateim": 2231, "outofboundsdatetim": [3, 2231, 2232, 2235, 2241, 2246, 2249, 2250, 2271, 2283, 2294, 2302, 2307], "outofboundstimedelta": [2294, 2298, 2302, 2307], "output": [3, 4, 5, 6, 13, 20, 22, 24, 25, 27, 32, 76, 79, 107, 123, 134, 141, 142, 144, 160, 168, 169, 227, 241, 249, 250, 251, 253, 257, 258, 259, 260, 261, 262, 263, 265, 268, 269, 272, 279, 354, 405, 417, 501, 502, 509, 532, 573, 585, 591, 629, 698, 709, 717, 738, 802, 862, 866, 882, 883, 884, 886, 889, 890, 892, 895, 973, 1148, 1149, 1164, 1202, 1207, 1208, 1221, 1263, 1298, 1299, 1306, 1308, 1323, 1325, 1342, 1343, 1345, 1387, 1390, 1391, 1395, 1396, 1400, 1403, 1404, 1406, 1413, 1414, 1417, 1422, 1431, 1432, 1433, 1434, 1446, 1448, 1477, 1478, 1488, 1490, 1491, 1493, 1494, 1498, 2172, 2185, 2186, 2187, 2188, 2190, 2192, 2194, 2195, 2197, 2199, 2200, 2202, 2204, 2208, 2209, 2210, 2211, 2213, 2215, 2217, 2218, 2220, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2238, 2239, 2242, 2246, 2249, 2254, 2257, 2261, 2267, 2271, 2277, 2281, 2283, 2289, 2294, 2298, 2304], "output1": [253, 886, 1431], "output_format": [2298, 2304], "outright": 14, "outsid": [2, 5, 39, 89, 92, 124, 146, 203, 256, 601, 616, 700, 720, 888, 1146, 1280, 1371, 1377, 2185, 2190, 2197, 2199, 2201, 2210, 2228, 2235, 2241, 2250, 2283, 2285, 2289, 2302, 2304], "outstand": 2224, "outtyp": [2222, 2232], "outward": 498, "over": [2, 3, 6, 13, 17, 18, 21, 27, 67, 72, 73, 75, 76, 77, 103, 104, 105, 106, 108, 121, 122, 139, 140, 150, 151, 152, 155, 156, 164, 165, 166, 170, 172, 191, 194, 195, 200, 201, 202, 218, 225, 232, 242, 245, 251, 274, 283, 321, 341, 430, 445, 509, 513, 515, 535, 581, 582, 584, 585, 625, 626, 627, 628, 630, 696, 697, 715, 716, 728, 730, 731, 742, 743, 744, 746, 767, 769, 770, 774, 775, 793, 800, 806, 817, 879, 884, 910, 1148, 1149, 1165, 1174, 1175, 1182, 1191, 1193, 1198, 1203, 1207, 1208, 1222, 1231, 1232, 1241, 1252, 1254, 1259, 1264, 1269, 1270, 1304, 1321, 1342, 1345, 1391, 1396, 1404, 1411, 1414, 1416, 1469, 1486, 1488, 1490, 2186, 2191, 2193, 2194, 2195, 2197, 2199, 2202, 2207, 2210, 2212, 2213, 2217, 2218, 2220, 2230, 2232, 2235, 2239, 2241, 2246, 2249, 2250, 2258, 2261, 2262, 2265, 2271, 2274, 2277, 2283, 2285, 2287, 2289, 2290, 2294, 2298, 2301, 2302, 2303, 2307], "overal": [2199, 2227], "overflow": [34, 108, 630, 1345, 1371, 1372, 1391, 1488, 1490, 2200, 2202, 2218, 2220, 2222, 2225, 2227, 2228, 2232, 2233, 2235, 2238, 2239, 2241, 2242, 2246, 2248, 2249, 2271, 2274, 2283, 2289, 2294, 2299, 2307, 2308], "overflowerror": [2199, 2231, 2238, 2241, 2246, 2248, 2249, 2271, 2283, 2294, 2298, 2300, 2301, 2307], "overhead": [1469, 1486, 2193, 2197, 2199, 2208, 2256], "overlai": [341, 2289], "overlap": [153, 169, 190, 224, 280, 346, 461, 468, 469, 766, 831, 836, 837, 838, 839, 840, 841, 842, 843, 844, 1118, 1127, 1132, 1146, 1342, 1343, 1368, 1446, 1447, 1448, 2185, 2191, 2197, 2207, 2210, 2211, 2218, 2222, 2228, 2230, 2238, 2241, 2246, 2249, 2265, 2271, 2277, 2283, 2289, 2290, 2298, 2303, 2307], "overlapping_index": 466, "overload": [2283, 2289, 2298], "overlong": 2238, "overrid": [4, 16, 17, 18, 19, 95, 255, 325, 328, 431, 433, 589, 950, 952, 1031, 1469, 1473, 1477, 1486, 2191, 2199, 2200, 2201, 2202, 2206, 2207, 2223, 2226, 2235, 2238, 2246, 2263, 2289], "overridden": [16, 17, 19, 573, 914, 1031, 1043, 1345, 1391, 1475, 1488, 1490, 2186, 2194, 2202, 2220, 2241, 2302], "overview": [4, 5, 21, 23, 24, 25, 26, 29, 31, 32, 2172, 2191, 2196, 2199, 2201, 2205, 2222, 2228, 2232, 2235, 2261, 2265, 2283, 2289], "overwrit": [16, 17, 18, 19, 94, 267, 280, 486, 896, 1421, 1432, 1433, 1459, 2186, 2199, 2207, 2236, 2239, 2271, 2277, 2298], "overwritten": [81, 94, 267, 896, 2207, 2210, 2218, 2220, 2271, 2283, 2298], "overwrot": [1345, 1391, 1488, 1490, 2202, 2239], "owen": [23, 32], "owl": [1170, 1176, 1197, 1227, 1233, 1258, 1277, 1279, 1293], "own": [1, 3, 6, 7, 10, 13, 98, 423, 425, 621, 1035, 1140, 1433, 1459, 2185, 2186, 2193, 2195, 2197, 2199, 2207, 2210, 2218, 2220, 2228, 2232, 2235, 2246, 2265], "ownership": 2, "ozon": 30, "p": [6, 300, 301, 322, 512, 517, 518, 522, 524, 530, 532, 534, 536, 562, 677, 828, 829, 857, 923, 1087, 1102, 1114, 2186, 2188, 2197, 2199, 2208, 2210, 2216, 2217, 2218, 2220, 2222, 2224, 2225, 2227, 2228, 2230, 2232, 2235, 2241, 2246, 2264], "p0dt0h0m0": 2209, "p0dt0h1m0": 2209, "p0dt1h0m10": 923, "p4d": 2214, "p500dt12h0m0": 923, "p6dt0h50m3": [923, 2209], "pa": [37, 541, 735, 736, 737, 875, 876, 877, 1034, 2167, 2194, 2199, 2201, 2203, 2294, 2298, 2300, 2302, 2307], "pa_arrai": 2203, "pa_dtyp": [2194, 2201, 2203, 2294, 2302, 2307], "pa_tabl": 2199, "pa_typ": [2199, 2203], "pa_version_under10p1": [2203, 2283], "pacif": [953, 995, 2199, 2210, 2249, 2298], "pack": [112, 116, 341, 2230], "packag": [1, 2, 3, 13, 15, 21, 22, 23, 26, 27, 29, 30, 31, 234, 250, 255, 260, 428, 818, 883, 892, 1368, 1433, 1473, 1491, 2172, 2191, 2193, 2199, 2203, 2208, 2210, 2211, 2212, 2224, 2225, 2226, 2228, 2230, 2232, 2235, 2237, 2238, 2241, 2246, 2249, 2265, 2271, 2273, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "packageload": 1412, "packet": [2199, 2222], "pad": [74, 79, 146, 182, 207, 208, 212, 362, 378, 417, 465, 489, 583, 591, 720, 760, 781, 782, 787, 822, 847, 860, 862, 866, 874, 923, 1040, 1052, 1275, 1280, 1286, 2186, 2207, 2208, 2210, 2214, 2225, 2228, 2232, 2241, 2249, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2304], "page": [1, 2, 4, 6, 10, 15, 16, 17, 18, 19, 21, 25, 26, 28, 29, 30, 31, 32, 34, 1345, 1391, 1475, 1488, 1490, 2172, 2186, 2189, 2193, 2199, 2202, 2205, 2207, 2211, 2219, 2221, 2223, 2241, 2246, 2261, 2294], "pai": [2214, 2216], "pain": 2207, "pair": [7, 15, 83, 99, 102, 138, 150, 151, 152, 160, 184, 197, 203, 251, 252, 253, 258, 260, 263, 265, 268, 272, 341, 594, 714, 728, 738, 884, 886, 889, 892, 895, 1068, 1155, 1158, 1418, 1431, 1433, 1444, 1453, 1469, 1470, 1471, 1475, 1476, 1478, 1479, 1480, 1485, 1486, 1487, 2166, 2185, 2186, 2195, 2199, 2207, 2209, 2212, 2217, 2225, 2241, 2249], "pairwis": [99, 100, 102, 597, 622, 624, 1155, 1156, 1158, 1213, 1215, 1298, 1299, 1306, 1308, 1323, 1325, 2220, 2222, 2230, 2241], "palett": [6, 2207], "palm": [1443, 2199], "palsson": 25, "pand": 2250, "panda": [0, 7, 8, 11, 14, 15, 16, 17, 19, 20, 24, 25, 27, 28, 29, 30, 32, 33, 34, 2168, 2169, 2171, 2172, 2178, 2179, 2180, 2181, 2183, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2195, 2196, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2233, 2234, 2236, 2237, 2238, 2239, 2240, 2242, 2243, 2244, 2245, 2247, 2248, 2249, 2250, 2251, 2252, 2253, 2254, 2255, 2256, 2257, 2258, 2259, 2260, 2262, 2263, 2264, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2303, 2304, 2305, 2306, 2308], "panda1": 2204, "panda2": 2204, "panda3": 2204, "pandas_copy_on_writ": [1345, 1391, 1488, 1490, 2202], "pandas_data_manag": [1345, 1391, 1488, 1490, 2202], "pandas_dataread": [2228, 2231], "pandas_dtyp": [2194, 2201, 2203, 2232, 2265, 2283, 2294, 2302, 2307], "pandas_gbq": [255, 1473, 2307], "pandas_obj": [10, 1069, 1071, 1072], "pandas_object": [1069, 1071, 1072], "pandas_plotting_backend": [10, 2250], "pandas_t": [2199, 2307], "pandas_typ": [9, 2199], "pandas_vers": [9, 258, 889, 1436, 1476, 2199, 2235], "pandasarrai": [2246, 2249, 2265, 2277, 2289, 2298, 2302], "pandasautodateloc": 2217, "pandascontain": 2217, "pandasdtyp": [2283, 2302], "pandaserror": 2235, "pandasextensiondtyp": 2283, "pandasobject": [2217, 2218, 2222], "pandon": 2218, "pane": 2235, "panel": [184, 185, 1444, 1453, 1454, 2199, 2213, 2216, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2230, 2231, 2232, 2238, 2246, 2249, 2254, 2255, 2256, 2257, 2263, 2264, 2277], "panel4d": [2214, 2218, 2223, 2225, 2231, 2232, 2241], "panelnd": [2214, 2232, 2241], "panic": 2261, "paper": 2197, "paradigm": 2218, "paragraph": [3, 265, 895], "parallel": [2, 5, 77, 1148, 1149, 1178, 1179, 1181, 1199, 1200, 1203, 1205, 1207, 1208, 1237, 1238, 1240, 1260, 1261, 1264, 1267, 1300, 1302, 1305, 1310, 1311, 1312, 1313, 1318, 1319, 1320, 1322, 1327, 1328, 1329, 1330, 1335, 1336, 1337, 1461, 1471, 2193, 2205, 2212, 2228, 2229, 2236, 2262], "parallel_coordin": [2172, 2211, 2220, 2224, 2235, 2238, 2265], "param": [2, 257, 269, 1482, 1483, 2199, 2242, 2302], "paramet": [2, 16, 17, 18, 19, 26, 29, 30, 31, 36, 37, 39, 44, 46, 49, 50, 56, 58, 60, 61, 62, 63, 65, 66, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 88, 89, 91, 92, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 116, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 129, 130, 131, 132, 133, 134, 135, 136, 137, 139, 140, 143, 144, 145, 146, 147, 152, 153, 155, 156, 157, 159, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 175, 176, 179, 180, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 230, 232, 233, 234, 237, 240, 241, 242, 244, 245, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 283, 284, 285, 286, 287, 288, 291, 296, 300, 301, 310, 314, 318, 321, 322, 325, 326, 328, 330, 331, 334, 337, 339, 341, 342, 345, 346, 347, 350, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 373, 375, 376, 377, 378, 380, 381, 382, 383, 388, 389, 390, 401, 404, 405, 406, 407, 408, 414, 417, 418, 419, 420, 421, 423, 425, 426, 427, 429, 430, 431, 433, 434, 435, 436, 439, 445, 455, 457, 459, 461, 462, 463, 464, 465, 466, 473, 475, 476, 478, 479, 481, 482, 483, 485, 486, 487, 488, 489, 490, 491, 492, 493, 499, 500, 501, 502, 503, 505, 506, 509, 510, 511, 526, 533, 538, 540, 541, 562, 563, 568, 570, 571, 572, 573, 575, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 591, 592, 593, 595, 597, 599, 600, 601, 603, 604, 605, 611, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 639, 643, 652, 667, 673, 677, 680, 685, 686, 692, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 706, 707, 708, 709, 710, 712, 713, 715, 716, 719, 720, 724, 730, 731, 732, 734, 735, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 753, 754, 757, 758, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 804, 806, 807, 808, 812, 815, 816, 817, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 845, 847, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 871, 873, 874, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 892, 893, 894, 895, 896, 897, 898, 900, 901, 902, 903, 904, 906, 907, 908, 910, 911, 912, 913, 914, 915, 916, 917, 919, 922, 929, 931, 937, 938, 939, 940, 943, 945, 948, 950, 952, 953, 954, 956, 957, 962, 970, 972, 983, 990, 993, 995, 997, 999, 1007, 1010, 1013, 1014, 1032, 1033, 1035, 1036, 1037, 1038, 1039, 1040, 1041, 1044, 1045, 1049, 1050, 1051, 1052, 1053, 1055, 1059, 1060, 1061, 1063, 1064, 1067, 1068, 1069, 1071, 1072, 1076, 1077, 1078, 1079, 1081, 1082, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1093, 1095, 1097, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1127, 1128, 1129, 1130, 1136, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1158, 1159, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1172, 1173, 1174, 1175, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1215, 1216, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1229, 1230, 1231, 1232, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1259, 1260, 1261, 1262, 1263, 1264, 1267, 1269, 1270, 1271, 1272, 1274, 1275, 1276, 1277, 1280, 1281, 1283, 1284, 1286, 1289, 1290, 1291, 1292, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1354, 1374, 1387, 1388, 1389, 1390, 1391, 1392, 1393, 1394, 1395, 1396, 1397, 1398, 1400, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1430, 1431, 1432, 1433, 1434, 1435, 1436, 1441, 1442, 1443, 1444, 1445, 1446, 1447, 1448, 1449, 1450, 1452, 1453, 1454, 1455, 1456, 1457, 1458, 1460, 1461, 1462, 1463, 1465, 1466, 1467, 1468, 1469, 1470, 1471, 1472, 1473, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1489, 1490, 1491, 1492, 1493, 1494, 1495, 1496, 1497, 1498, 1499, 1500, 1501, 1502, 1506, 1512, 1517, 1524, 1530, 1535, 1542, 1548, 1553, 1560, 1566, 1571, 1578, 1586, 1591, 1598, 1607, 1612, 1620, 1626, 1631, 1637, 1643, 1648, 1657, 1665, 1670, 1677, 1686, 1691, 1699, 1707, 1712, 1720, 1728, 1733, 1741, 1747, 1752, 1758, 1765, 1770, 1776, 1782, 1787, 1793, 1801, 1806, 1815, 1823, 1828, 1839, 1846, 1851, 1857, 1863, 1868, 1876, 1883, 1888, 1894, 1901, 1906, 1912, 1919, 1924, 1930, 1936, 1941, 1947, 1953, 1958, 1964, 1971, 1976, 1982, 1988, 1993, 2000, 2006, 2011, 2018, 2025, 2030, 2036, 2043, 2048, 2054, 2061, 2066, 2079, 2084, 2090, 2096, 2101, 2108, 2114, 2119, 2127, 2133, 2138, 2145, 2151, 2156, 2163, 2164, 2165, 2166, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2203, 2204, 2205, 2207, 2208, 2209, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2236, 2237, 2238, 2240, 2246, 2249, 2250, 2253, 2255, 2257, 2259, 2263, 2264, 2265, 2267, 2269, 2271, 2274, 2277, 2283, 2285, 2289, 2292, 2294, 2298, 2302, 2307], "parameter": [2, 2210], "parameteris": 2210, "parametr": [2, 191, 194, 767, 769, 1068, 2246], "paramor": 2248, "paramstyl": [1482, 1483], "parch": [24, 25, 28, 29, 32], "parent": [3, 5, 10, 24, 25, 28, 29, 32, 251, 257, 269, 884, 1400, 2185, 2190, 2197, 2199, 2203, 2212, 2218, 2220, 2271, 2275, 2289, 2294, 2298], "parenthes": [23, 25, 160, 445, 738, 2193, 2197], "parenthesi": 1498, "pari": [26, 27, 29, 30, 31, 334, 1498], "park": [1793, 1815], "parlanc": 2199, "parquet": [10, 11, 19, 21, 22, 24, 256, 262, 263, 265, 271, 888, 895, 899, 1345, 1391, 1477, 1478, 1479, 1488, 1490, 2172, 2196, 2202, 2205, 2246, 2250, 2265, 2267, 2269, 2270, 2277, 2283, 2294, 2298], "parquet_column_nam": 9, "parrot": [3, 134, 136, 198, 214, 248, 249, 268, 271, 282, 345, 709, 712, 823, 881, 882, 899, 1150, 1151, 1153, 1198, 1202, 1209, 1210, 1212, 1234, 1235, 1259, 1263, 1264, 1485, 2195], "pars": [16, 17, 19, 22, 31, 203, 258, 286, 337, 532, 889, 1031, 1345, 1356, 1371, 1373, 1374, 1387, 1391, 1433, 1468, 1469, 1470, 1475, 1476, 1482, 1483, 1484, 1486, 1487, 1488, 1490, 1498, 1499, 1500, 1501, 2193, 2196, 2202, 2210, 2213, 2215, 2217, 2218, 2219, 2221, 2222, 2224, 2225, 2227, 2229, 2230, 2231, 2233, 2234, 2235, 2238, 2239, 2241, 2249, 2254, 2255, 2261, 2262, 2263, 2264, 2265, 2266, 2277, 2278, 2283, 2294, 2297, 2307], "parse_all_field": [2277, 2298], "parse_col": [2238, 2246, 2249, 2264], "parse_d": [16, 17, 18, 19, 26, 27, 29, 30, 31, 339, 1469, 1470, 1475, 1482, 1483, 1484, 1486, 1487, 2199, 2203, 2219, 2220, 2230, 2231, 2232, 2235, 2246, 2254, 2264, 2271, 2283, 2289, 2298, 2299, 2300, 2302], "parse_data": 2199, "parse_date_field": [2277, 2298], "parse_date_tim": [2277, 2298], "parseabl": [1498, 2199], "parser": [16, 17, 18, 19, 22, 203, 272, 1031, 1374, 1387, 1469, 1470, 1472, 1475, 1476, 1486, 1487, 2203, 2214, 2215, 2217, 2218, 2220, 2221, 2226, 2227, 2231, 2232, 2235, 2241, 2246, 2261, 2263, 2264, 2277, 2283, 2289, 2298], "parser_f": 2271, "parserbas": [2199, 2203, 2298], "parsererror": [1498, 2199, 2235, 2289, 2298], "parserwarn": [1469, 1486, 2199, 2220, 2232, 2235, 2283, 2307], "part": [1, 2, 3, 4, 8, 10, 13, 14, 16, 17, 19, 21, 22, 25, 31, 32, 34, 37, 38, 63, 202, 212, 259, 289, 323, 324, 533, 641, 678, 679, 750, 776, 787, 853, 861, 890, 915, 983, 1119, 1120, 1121, 1143, 1152, 1211, 1314, 1331, 1416, 1444, 1598, 1677, 2185, 2186, 2188, 2191, 2192, 2193, 2194, 2195, 2198, 2199, 2207, 2208, 2210, 2214, 2218, 2220, 2230, 2232, 2235, 2246, 2249, 2253, 2263, 2265, 2283, 2289, 2294, 2302, 2307, 2310], "parti": [2, 3, 11, 15, 17, 18, 34, 590, 1090, 1118, 2167, 2186, 2191, 2211, 2232, 2241, 2246, 2294, 2307, 2308, 2310], "partial": [13, 74, 89, 124, 125, 185, 276, 285, 418, 421, 506, 583, 601, 700, 701, 902, 913, 1040, 1052, 1167, 1224, 1349, 1391, 1454, 1488, 1490, 2185, 2186, 2195, 2197, 2199, 2204, 2207, 2209, 2214, 2218, 2220, 2222, 2223, 2225, 2230, 2236, 2238, 2240, 2241, 2246, 2249, 2250, 2261, 2264, 2277, 2283, 2289, 2294, 2298, 2300, 2303, 2307, 2308], "partially_label": 1440, "particip": [14, 2188, 2241, 2261], "particul": [29, 30, 31], "particular": [2, 13, 17, 34, 84, 88, 127, 134, 157, 251, 253, 258, 260, 263, 265, 268, 272, 278, 285, 288, 296, 300, 301, 318, 326, 331, 341, 363, 428, 503, 514, 516, 595, 600, 639, 652, 673, 680, 686, 703, 709, 732, 818, 824, 884, 886, 889, 892, 895, 904, 913, 940, 943, 948, 953, 957, 970, 997, 1014, 1037, 1038, 1122, 1144, 1146, 1179, 1238, 1342, 1374, 1415, 1431, 1448, 1469, 1470, 1471, 1475, 1476, 1478, 1479, 1485, 1486, 1487, 2185, 2186, 2191, 2193, 2194, 2195, 2199, 2202, 2204, 2208, 2209, 2210, 2211, 2215, 2218, 2221, 2222, 2235, 2238, 2240, 2241, 2242, 2246, 2249, 2261, 2271, 2277, 2289, 2298, 2307], "particularli": [2, 10, 1367, 2210, 2246, 2249], "partit": [18, 254, 262, 263, 815, 861, 1478, 2208, 2212, 2226, 2246, 2265, 2269], "partition_col": [263, 2184, 2199, 2205, 2265], "partition_dir": 1478, "pass": [2, 4, 5, 10, 13, 15, 16, 17, 18, 19, 22, 28, 29, 60, 69, 72, 73, 74, 77, 78, 91, 94, 109, 118, 120, 129, 130, 131, 132, 134, 135, 137, 141, 144, 146, 147, 153, 155, 156, 159, 160, 161, 162, 164, 165, 166, 169, 170, 171, 173, 175, 182, 183, 185, 186, 187, 188, 189, 191, 194, 195, 196, 197, 199, 200, 201, 203, 204, 206, 207, 208, 212, 213, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 230, 232, 242, 244, 245, 247, 250, 251, 252, 253, 254, 258, 259, 260, 261, 262, 263, 264, 265, 267, 268, 272, 273, 275, 277, 278, 279, 280, 283, 286, 300, 301, 325, 331, 337, 339, 341, 345, 361, 362, 363, 365, 366, 368, 401, 405, 417, 418, 421, 431, 481, 482, 493, 501, 503, 505, 511, 578, 581, 582, 583, 586, 613, 631, 686, 694, 706, 707, 709, 710, 713, 717, 720, 724, 730, 731, 734, 738, 739, 740, 742, 743, 744, 746, 747, 749, 753, 760, 761, 762, 763, 764, 765, 767, 769, 770, 771, 773, 774, 775, 777, 780, 781, 782, 787, 788, 790, 791, 792, 793, 795, 796, 797, 798, 800, 804, 806, 817, 821, 823, 824, 845, 857, 862, 866, 877, 878, 879, 880, 883, 884, 885, 886, 887, 889, 890, 892, 893, 895, 896, 900, 901, 903, 904, 906, 907, 910, 938, 950, 953, 1010, 1032, 1041, 1044, 1052, 1064, 1068, 1069, 1071, 1072, 1076, 1094, 1112, 1114, 1117, 1118, 1145, 1146, 1148, 1149, 1152, 1154, 1168, 1173, 1187, 1188, 1193, 1194, 1196, 1198, 1203, 1207, 1208, 1211, 1225, 1230, 1248, 1249, 1254, 1255, 1257, 1259, 1264, 1269, 1270, 1280, 1289, 1304, 1305, 1321, 1322, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1389, 1390, 1392, 1394, 1395, 1396, 1398, 1403, 1411, 1413, 1414, 1415, 1416, 1431, 1432, 1443, 1446, 1448, 1451, 1454, 1455, 1456, 1457, 1458, 1461, 1463, 1465, 1466, 1468, 1469, 1470, 1472, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1482, 1483, 1485, 1486, 1487, 1488, 1494, 1497, 1498, 1499, 1578, 1598, 1657, 1677, 1699, 1720, 2166, 2167, 2184, 2185, 2186, 2188, 2191, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2203, 2204, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2242, 2243, 2247, 2248, 2250, 2251, 2254, 2255, 2256, 2257, 2258, 2259, 2261, 2263, 2265, 2266, 2267, 2269, 2271, 2272, 2273, 2274, 2275, 2276, 2278, 2279, 2280, 2281, 2283, 2286, 2287, 2289, 2291, 2292, 2293, 2294, 2295, 2296, 2298, 2299, 2300, 2302, 2303, 2307, 2308], "passeng": [23, 24, 25, 28, 29, 32], "passengerid": [24, 25, 28, 29, 32], "passinig": 2265, "password": [251, 253, 258, 260, 263, 265, 268, 272, 341, 884, 886, 889, 892, 895, 1431, 1469, 1470, 1471, 1475, 1476, 1478, 1479, 1485, 1486, 1487], "past": [0, 2, 15, 190, 250, 255, 259, 383, 491, 766, 883, 890, 1375, 1473, 2186, 2199, 2208, 2212, 2216, 2218, 2241, 2246, 2289, 2294, 2298, 2302], "pat": [823, 824, 827, 828, 829, 831, 832, 850, 857, 862, 866, 867, 1345, 1391, 1451, 1488, 1490, 2202, 2208, 2220, 2246, 2265, 2294, 2298, 2306], "patch": [13, 14, 2218, 2220, 2247, 2248, 2294, 2295], "path": [1, 2, 5, 14, 16, 17, 18, 19, 22, 251, 253, 254, 256, 257, 258, 259, 260, 262, 263, 265, 268, 269, 272, 337, 341, 349, 350, 353, 884, 886, 888, 889, 890, 892, 895, 1203, 1264, 1405, 1431, 1432, 1433, 1434, 1437, 1438, 1439, 1440, 1443, 1469, 1470, 1471, 1472, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1481, 1485, 1486, 1487, 1491, 2184, 2185, 2186, 2188, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2205, 2208, 2210, 2212, 2214, 2215, 2217, 2218, 2220, 2222, 2225, 2229, 2230, 2231, 2232, 2235, 2236, 2238, 2246, 2249, 2265, 2267, 2269, 2271, 2274, 2277, 2279, 2280, 2283, 2289, 2294, 2298, 2302, 2307], "path_or_buf": [16, 17, 18, 19, 251, 256, 258, 884, 888, 889, 1474, 1476, 2184, 2199, 2205, 2230, 2235, 2246, 2271, 2298, 2307], "path_or_buff": [272, 337, 1470, 1487, 2199, 2289, 2298, 2307], "path_to_fil": [341, 2199, 2217, 2225, 2307], "pathlib": [2, 251, 337, 884, 2199, 2205, 2229, 2231, 2232, 2236, 2238, 2274, 2277], "pathlik": [251, 254, 258, 263, 265, 268, 272, 884, 889, 895, 1432, 1433, 1434, 1469, 1470, 1471, 1472, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1485, 1486, 1487, 2277], "pathnam": 2199, "patholog": 2277, "patient1": 2199, "patient2": 2199, "patient3": 2199, "patrick": 32, "pattern": [3, 9, 17, 28, 31, 147, 428, 818, 823, 824, 827, 828, 829, 831, 857, 866, 867, 1107, 1108, 1345, 1403, 1404, 1415, 1460, 1469, 1486, 1741, 2186, 2194, 2196, 2199, 2202, 2215, 2219, 2230, 2235, 2248, 2289, 2294], "paydai": 2220, "payload": 2249, "pc": 877, "pchip": [146, 720, 1280, 2201, 2218], "pchipinterpol": [146, 720], "pclass": [24, 25, 28, 29, 32], "pct": [205, 778, 1191, 1252, 1315, 1332, 2230, 2241, 2242, 2246, 2283, 2289], "pct_chang": [108, 630, 2195, 2220, 2229, 2241, 2246, 2261, 2265, 2283, 2302, 2303, 2304, 2308], "pct_rank": [205, 778], "pd": [1, 2, 3, 9, 10, 12, 13, 15, 16, 17, 18, 19, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 339, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 473, 475, 476, 477, 478, 479, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 521, 522, 523, 524, 525, 526, 528, 529, 530, 531, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 551, 554, 555, 556, 557, 558, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 811, 812, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 912, 913, 914, 915, 916, 917, 918, 919, 920, 921, 922, 923, 927, 929, 930, 931, 932, 933, 934, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 959, 960, 962, 963, 964, 965, 966, 967, 968, 969, 970, 972, 973, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 990, 992, 993, 994, 995, 997, 999, 1000, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1014, 1016, 1017, 1018, 1019, 1020, 1021, 1023, 1024, 1025, 1027, 1028, 1029, 1030, 1032, 1033, 1034, 1035, 1036, 1037, 1038, 1039, 1040, 1041, 1042, 1043, 1044, 1045, 1046, 1047, 1048, 1049, 1050, 1051, 1052, 1053, 1054, 1055, 1056, 1057, 1058, 1059, 1060, 1061, 1062, 1063, 1065, 1066, 1067, 1069, 1071, 1072, 1073, 1074, 1075, 1076, 1077, 1078, 1080, 1081, 1082, 1083, 1084, 1085, 1087, 1088, 1090, 1092, 1093, 1095, 1096, 1097, 1099, 1104, 1106, 1109, 1110, 1111, 1112, 1113, 1115, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1358, 1359, 1360, 1362, 1363, 1365, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1380, 1381, 1382, 1383, 1384, 1385, 1386, 1387, 1388, 1389, 1390, 1391, 1392, 1393, 1394, 1395, 1396, 1397, 1398, 1399, 1400, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1430, 1431, 1432, 1433, 1434, 1435, 1436, 1437, 1438, 1439, 1440, 1441, 1442, 1443, 1444, 1445, 1446, 1447, 1448, 1449, 1450, 1452, 1453, 1454, 1455, 1456, 1457, 1458, 1459, 1460, 1461, 1462, 1463, 1464, 1465, 1466, 1467, 1468, 1469, 1470, 1471, 1472, 1473, 1474, 1476, 1477, 1478, 1479, 1480, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1489, 1490, 1491, 1492, 1493, 1494, 1495, 1496, 1497, 1498, 1499, 1500, 1502, 1506, 1507, 1508, 1509, 1510, 1511, 1512, 1513, 1514, 1515, 1516, 1517, 1519, 1524, 1525, 1526, 1527, 1528, 1529, 1530, 1531, 1532, 1533, 1534, 1535, 1537, 1542, 1543, 1544, 1545, 1546, 1547, 1548, 1549, 1550, 1551, 1552, 1553, 1556, 1560, 1561, 1562, 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1571, 1574, 1578, 1580, 1581, 1583, 1584, 1585, 1586, 1587, 1588, 1589, 1590, 1591, 1593, 1598, 1600, 1602, 1604, 1605, 1606, 1607, 1608, 1609, 1610, 1611, 1612, 1614, 1620, 1621, 1622, 1623, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1631, 1633, 1637, 1638, 1639, 1640, 1641, 1642, 1643, 1644, 1645, 1646, 1647, 1648, 1650, 1657, 1659, 1660, 1662, 1663, 1664, 1665, 1666, 1667, 1668, 1669, 1670, 1672, 1677, 1679, 1681, 1683, 1684, 1685, 1686, 1687, 1688, 1689, 1690, 1691, 1693, 1699, 1701, 1702, 1704, 1705, 1706, 1707, 1708, 1709, 1710, 1711, 1712, 1715, 1720, 1722, 1723, 1725, 1726, 1727, 1728, 1729, 1730, 1731, 1732, 1733, 1736, 1741, 1742, 1743, 1744, 1745, 1746, 1747, 1748, 1749, 1750, 1751, 1752, 1754, 1758, 1759, 1761, 1762, 1763, 1764, 1765, 1766, 1767, 1768, 1769, 1770, 1772, 1773, 1776, 1777, 1778, 1779, 1780, 1781, 1782, 1783, 1784, 1785, 1786, 1787, 1789, 1793, 1794, 1795, 1798, 1799, 1800, 1801, 1802, 1803, 1804, 1805, 1806, 1808, 1815, 1816, 1817, 1820, 1821, 1822, 1823, 1824, 1825, 1826, 1827, 1828, 1830, 1839, 1840, 1842, 1843, 1844, 1845, 1846, 1847, 1848, 1849, 1850, 1851, 1853, 1854, 1857, 1858, 1859, 1860, 1861, 1862, 1863, 1864, 1865, 1866, 1867, 1868, 1870, 1876, 1877, 1879, 1880, 1881, 1882, 1883, 1884, 1885, 1886, 1887, 1888, 1890, 1891, 1894, 1895, 1897, 1898, 1899, 1900, 1901, 1902, 1903, 1904, 1905, 1906, 1908, 1909, 1912, 1913, 1915, 1916, 1917, 1918, 1919, 1920, 1921, 1922, 1923, 1924, 1926, 1927, 1930, 1931, 1932, 1933, 1934, 1935, 1936, 1937, 1938, 1939, 1940, 1941, 1943, 1947, 1948, 1949, 1950, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1960, 1964, 1965, 1967, 1968, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1976, 1978, 1979, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1995, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2013, 2018, 2019, 2021, 2022, 2023, 2024, 2025, 2026, 2027, 2028, 2029, 2030, 2032, 2033, 2036, 2037, 2039, 2040, 2041, 2042, 2043, 2044, 2045, 2046, 2047, 2048, 2050, 2054, 2055, 2057, 2058, 2059, 2060, 2061, 2062, 2063, 2064, 2065, 2066, 2068, 2073, 2075, 2076, 2077, 2078, 2079, 2080, 2081, 2082, 2083, 2084, 2086, 2087, 2090, 2091, 2092, 2093, 2094, 2095, 2096, 2097, 2098, 2099, 2100, 2101, 2103, 2108, 2109, 2110, 2111, 2112, 2113, 2114, 2115, 2116, 2117, 2118, 2119, 2121, 2127, 2128, 2129, 2130, 2131, 2132, 2133, 2134, 2135, 2136, 2137, 2138, 2141, 2145, 2146, 2147, 2148, 2149, 2150, 2151, 2152, 2153, 2154, 2155, 2156, 2159, 2163, 2164, 2165, 2166, 2167, 2184, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2196, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2231, 2233, 2234, 2236, 2239, 2240, 2241, 2242, 2243, 2246, 2249, 2257, 2260, 2261, 2263, 2264, 2265, 2266, 2267, 2271, 2275, 2277, 2278, 2281, 2283, 2284, 2289, 2290, 2294, 2295, 2298, 2300, 2302, 2307], "pd_tabl": [267, 896, 2199], "pdep": [2298, 2302, 2304, 2307], "pdep6": [2307, 2308], "pdf": [3, 191, 194, 767, 769, 2199, 2283, 2294], "peak": [2205, 2277], "pearson": [99, 100, 597, 622, 1155, 1156, 1213, 1306, 1323, 2289, 2290, 2294], "pearson_correlation_coeffici": [1306, 1323], "peculiar": [212, 787, 2207], "peel": 32, "penalti": 2199, "penasco": 32, "pendingdeprecationwarn": 2229, "penguin": [205, 285, 778, 913, 1150, 1151, 1209, 1210], "pentagon": [69, 109, 129, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275], "peopl": [0, 1, 2, 3, 13, 15, 2194, 2247, 2248], "pep": [2, 3, 5, 203, 267, 896, 1109, 1363, 1482, 1483, 2230, 2238, 2241, 2246, 2271], "pep440": 2228, "pep557": 2191, "per": [3, 4, 5, 28, 34, 72, 73, 91, 92, 99, 102, 121, 122, 137, 144, 182, 186, 188, 189, 193, 195, 202, 207, 208, 218, 233, 267, 281, 378, 417, 465, 489, 513, 515, 529, 535, 616, 696, 697, 760, 762, 764, 765, 768, 770, 781, 782, 793, 828, 856, 896, 1148, 1149, 1155, 1158, 1173, 1188, 1193, 1204, 1249, 1254, 1345, 1354, 1391, 1448, 1458, 1469, 1470, 1475, 1476, 1486, 1488, 1490, 2036, 2054, 2184, 2185, 2186, 2193, 2195, 2197, 2199, 2202, 2204, 2208, 2211, 2212, 2216, 2218, 2219, 2220, 2223, 2226, 2231, 2232, 2235, 2238, 2246, 2249, 2262, 2264, 2265, 2271, 2277, 2283, 2289, 2294, 2298], "percal": 2193, "perceiv": 2283, "percent": [108, 182, 630, 760, 810, 2195, 2246], "percentag": [182, 760, 1186, 1191, 1247, 1252, 1398, 2204, 2220, 2246, 2277], "percentil": [107, 202, 205, 629, 776, 778, 1164, 1190, 1221, 1251, 1315, 1332, 2186, 2207, 2220, 2228, 2232, 2235, 2241, 2249, 2298, 2307], "percentile_width": [2220, 2228], "perez": 32, "perf": [1, 2218, 2219], "perfectli": 2263, "perform": [0, 1, 4, 7, 8, 10, 11, 13, 15, 16, 17, 18, 19, 30, 34, 35, 36, 62, 63, 72, 73, 74, 77, 80, 92, 94, 95, 98, 120, 134, 144, 163, 169, 176, 179, 183, 200, 201, 212, 228, 234, 245, 256, 273, 284, 288, 296, 318, 346, 351, 362, 385, 440, 573, 581, 582, 583, 586, 592, 597, 615, 616, 617, 618, 621, 622, 634, 639, 652, 673, 709, 711, 741, 761, 774, 775, 787, 807, 808, 879, 888, 900, 912, 940, 943, 948, 1031, 1032, 1041, 1068, 1077, 1167, 1169, 1177, 1178, 1181, 1189, 1200, 1213, 1224, 1226, 1236, 1237, 1240, 1250, 1261, 1269, 1270, 1276, 1281, 1290, 1295, 1300, 1302, 1304, 1305, 1310, 1311, 1312, 1313, 1319, 1321, 1322, 1327, 1328, 1329, 1330, 1336, 1345, 1351, 1352, 1375, 1387, 1389, 1391, 1446, 1447, 1448, 1457, 1469, 1470, 1478, 1482, 1486, 1488, 1490, 1494, 1499, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2194, 2195, 2196, 2200, 2202, 2203, 2204, 2205, 2207, 2208, 2210, 2211, 2212, 2213, 2214, 2215, 2216, 2217, 2218, 2223, 2261, 2266, 2269, 2273, 2275, 2276, 2284, 2285, 2287, 2288, 2290, 2291, 2295, 2296, 2297, 2299, 2300, 2301, 2304, 2308], "performancewarn": [1119, 2185, 2199, 2210, 2224, 2235, 2241, 2246, 2289, 2294, 2298], "perhap": [13, 2186, 2208], "peril": [425, 2232], "period": [1, 2, 10, 12, 31, 79, 82, 84, 88, 102, 108, 121, 127, 157, 182, 207, 213, 218, 230, 255, 261, 262, 264, 270, 286, 288, 290, 291, 296, 299, 301, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 318, 319, 321, 322, 326, 327, 330, 331, 333, 354, 363, 423, 432, 445, 538, 540, 541, 542, 544, 546, 547, 548, 549, 554, 556, 560, 561, 562, 563, 567, 575, 576, 590, 591, 593, 595, 597, 600, 630, 637, 639, 642, 643, 651, 652, 654, 656, 657, 658, 659, 660, 661, 663, 665, 666, 667, 668, 670, 673, 674, 676, 677, 680, 681, 685, 686, 689, 696, 703, 732, 760, 781, 788, 793, 804, 891, 893, 894, 898, 905, 909, 938, 940, 943, 945, 948, 1008, 1051, 1063, 1065, 1075, 1078, 1090, 1106, 1109, 1118, 1141, 1145, 1158, 1165, 1186, 1192, 1193, 1196, 1222, 1247, 1253, 1254, 1257, 1269, 1270, 1272, 1275, 1280, 1286, 1289, 1296, 1309, 1316, 1317, 1318, 1320, 1326, 1333, 1334, 1335, 1337, 1344, 1345, 1372, 1391, 1392, 1393, 1436, 1452, 1459, 1462, 1464, 1488, 1490, 1497, 1741, 1793, 1815, 2184, 2185, 2186, 2188, 2195, 2197, 2199, 2201, 2202, 2207, 2209, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2229, 2230, 2231, 2233, 2235, 2238, 2239, 2240, 2241, 2242, 2248, 2249, 2250, 2261, 2263, 2264, 2265, 2266, 2271, 2274, 2296, 2304, 2308], "period_format": 2302, "period_index": [519, 549, 651, 2271], "period_rang": [12, 519, 540, 541, 547, 548, 549, 651, 1141, 1344, 1459, 1464, 2186, 2199, 2220, 2222, 2228, 2238, 2246, 2249, 2261, 2264, 2265, 2271, 2302, 2307], "periodarrai": [2, 326, 540, 541, 590, 680, 1118, 2167, 2186, 2246, 2265, 2271, 2277, 2294, 2302], "perioddtyp": [540, 1068, 1106, 1141, 2167, 2186, 2201, 2232, 2246, 2249, 2271, 2275, 2277, 2283, 2289, 2290, 2294, 2298, 2302, 2307], "periodindex": [12, 79, 213, 230, 264, 270, 286, 298, 322, 326, 345, 354, 423, 514, 516, 519, 591, 651, 677, 680, 788, 804, 894, 898, 938, 1051, 1106, 1141, 1344, 1367, 1452, 2172, 2185, 2186, 2209, 2218, 2220, 2221, 2222, 2225, 2228, 2229, 2230, 2231, 2234, 2235, 2237, 2241, 2246, 2249, 2261, 2263, 2264, 2265, 2269, 2273, 2277, 2283, 2289, 2292, 2294, 2298, 2302, 2307, 2308], "periodindexresamplergroupbi": [1192, 1253], "periodmixin": 2210, "perman": [1419, 2199, 2232, 2283], "permiss": [6, 13, 34, 1403, 1404, 1473, 2228, 2271], "permissionerror": 2269, "permit": [34, 342, 2199, 2207, 2222, 2223, 2241, 2267], "permut": [274, 2185, 2186, 2294], "persian": 1265, "persist": [17, 95, 618, 2302], "person": [3, 4, 6, 101, 2204], "person_id": [242, 283, 817, 910], "perspect": 2230, "petallength": [1463, 2191, 2225], "petalratio": [2191, 2225], "petalwidth": [1463, 2191, 2225], "peter": 392, "petersohn": 2248, "peterson": 2218, "pg_dbapi": [2199, 2307], "phase": [1, 2, 2214], "physic": [9, 1064, 1141, 2199, 2212], "pi": [1455, 1456, 2193, 2210, 2211, 2232, 2238, 2246, 2271], "pick": [4, 21, 1465, 2199, 2211], "pickl": [9, 265, 352, 895, 1474, 1479, 2172, 2196, 2206, 2214, 2217, 2218, 2220, 2221, 2222, 2228, 2234, 2237, 2246, 2265, 2267, 2273, 2277, 2279, 2298, 2306], "pickleabl": 2239, "pickler": [265, 895], "pidx": 541, "pie": [26, 186, 762, 1188, 1249, 2220, 2228], "piec": [134, 709, 1448, 1469, 1486, 2184, 2186, 2199, 2200, 2206], "piecewis": [146, 720], "piecewise_polynomi": [146, 720, 1280, 2218, 2231], "pig": [137, 186, 188, 189, 195, 260, 762, 764, 765, 770, 892, 1173, 1188, 1249, 1387, 2271], "pin": [2, 13, 2302], "ping": 13, "pink": [195, 770, 1415, 1433, 2207], "pip": [1, 2, 8, 13, 21, 22, 2184, 2199, 2203, 2205, 2212, 2235, 2248, 2265, 2304, 2308], "pipe": [10, 144, 1152, 1211, 1345, 1391, 1433, 1488, 1490, 2186, 2202, 2207, 2241], "pipelin": [2192, 2199], "pitfal": 2207, "pitt": [853, 861], "pivot": [3, 21, 31, 34, 123, 167, 185, 241, 279, 698, 906, 1342, 1444, 1445, 1454, 2166, 2185, 2188, 2196, 2218, 2220, 2225, 2228, 2241, 2242, 2249, 2271, 2276, 2277, 2289, 2294, 2298, 2299, 2307], "pivot_annu": [2232, 2241], "pivot_t": [15, 17, 29, 167, 184, 241, 1342, 1444, 1445, 1453, 2166, 2184, 2188, 2196, 2199, 2218, 2220, 2221, 2222, 2225, 2229, 2230, 2231, 2232, 2233, 2235, 2238, 2241, 2242, 2246, 2249, 2254, 2255, 2256, 2261, 2265, 2271, 2277, 2283, 2294, 2295, 2297, 2298, 2302, 2307], "pivott": 17, "pixel_s": [1419, 2207], "pkl": [265, 895, 1479, 2199, 2235], "place": [0, 2, 3, 5, 6, 8, 13, 20, 34, 50, 89, 92, 101, 111, 124, 125, 146, 163, 186, 203, 205, 207, 208, 213, 214, 219, 234, 258, 259, 280, 284, 288, 296, 318, 589, 601, 605, 616, 639, 652, 673, 700, 701, 720, 741, 762, 778, 781, 782, 788, 789, 794, 807, 808, 873, 889, 890, 893, 907, 912, 923, 940, 943, 948, 957, 970, 997, 1042, 1044, 1188, 1249, 1280, 1345, 1391, 1433, 1436, 1463, 1469, 1470, 1486, 1488, 1490, 2186, 2188, 2191, 2193, 2195, 2197, 2199, 2202, 2206, 2208, 2217, 2218, 2219, 2220, 2222, 2228, 2230, 2232, 2238, 2240, 2241, 2246, 2253, 2261, 2272, 2289, 2294, 2298, 2307], "placehold": [13, 1345, 1391, 1400, 1488, 1490, 2201, 2202, 2238, 2241], "placement": [2220, 2277], "plai": [212, 787, 2218], "plain": [3, 4, 17, 31, 1117, 1387, 2185, 2188, 2195, 2197, 2218, 2219, 2226, 2228, 2229, 2249, 2261, 2289], "plan": [8, 2230, 2283, 2294], "planar": [186, 762, 1188, 1249], "plane": 2211, "planet": [196, 771, 833], "platform": [0, 1, 2, 5, 6, 8, 22, 250, 883, 2186, 2199, 2216, 2219, 2220, 2222, 2225, 2227, 2231, 2232, 2235, 2283, 2287], "playbook": 13, "player": [15, 2191], "pleas": [0, 1, 2, 4, 5, 6, 10, 12, 13, 14, 16, 19, 34, 35, 44, 63, 66, 77, 79, 87, 127, 146, 157, 160, 181, 203, 207, 208, 213, 218, 243, 246, 251, 253, 255, 256, 258, 260, 262, 263, 265, 268, 272, 286, 337, 341, 345, 573, 591, 598, 703, 720, 732, 738, 759, 781, 782, 788, 793, 884, 886, 888, 889, 892, 895, 938, 1031, 1119, 1145, 1193, 1254, 1344, 1345, 1391, 1393, 1394, 1399, 1405, 1408, 1409, 1410, 1417, 1419, 1424, 1431, 1452, 1469, 1470, 1471, 1473, 1475, 1476, 1478, 1479, 1485, 1486, 1487, 1488, 1490, 1497, 1498, 1499, 1500, 2167, 2186, 2188, 2191, 2193, 2199, 2203, 2207, 2208, 2210, 2211, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2244, 2245, 2246, 2249, 2250, 2251, 2252, 2253, 2254, 2255, 2256, 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, 2310], "pleasant": 13, "plenti": [26, 2217], "plm": [2230, 2235], "plot": [2, 11, 21, 22, 29, 31, 33, 34, 91, 137, 713, 1069, 1071, 1072, 1154, 1173, 1230, 1345, 1391, 1488, 1490, 2172, 2188, 2191, 2193, 2196, 2197, 2199, 2201, 2202, 2213, 2215, 2216, 2217, 2218, 2219, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2229, 2230, 2231, 2232, 2234, 2242, 2248, 2255, 2257, 2259, 2260, 2262, 2264, 2266, 2273, 2278, 2295, 2296, 2297, 2304], "plot_param": [2172, 2211, 2235, 2264], "plt": [26, 31, 1466, 2184, 2211, 2235, 2238, 2261], "plu": [39, 46, 866, 2188, 2191, 2205, 2207, 2217, 2218, 2226, 2274, 2277], "pluggi": [2, 22], "plugin": [2, 22], "plural": 1498, "plyr": [20, 2191], "pm": [532, 2300], "pm10": 30, "pm2": 30, "pm25": [29, 30], "pm_": [29, 30], "pmc": 2199, "pmc1236943": 2199, "png": 26, "pnow": [2235, 2246], "po": [2199, 2207, 2218], "point": [3, 5, 7, 8, 10, 13, 23, 34, 44, 63, 91, 131, 190, 191, 192, 194, 197, 202, 212, 218, 236, 251, 253, 258, 259, 267, 286, 298, 420, 449, 451, 455, 466, 467, 468, 469, 473, 485, 551, 766, 767, 769, 776, 787, 793, 794, 799, 810, 813, 884, 886, 889, 890, 896, 1061, 1069, 1071, 1072, 1102, 1131, 1132, 1136, 1190, 1193, 1251, 1254, 1314, 1331, 1344, 1345, 1391, 1403, 1404, 1431, 1455, 1457, 1458, 1463, 1467, 1469, 1470, 1475, 1477, 1482, 1483, 1484, 1486, 1488, 1489, 1490, 2186, 2188, 2191, 2193, 2194, 2195, 2197, 2198, 2200, 2201, 2202, 2205, 2207, 2208, 2210, 2211, 2212, 2216, 2218, 2220, 2221, 2222, 2226, 2227, 2228, 2230, 2235, 2238, 2241, 2246, 2249, 2250, 2254, 2260, 2265, 2271, 2277, 2283, 2289, 2298, 2302, 2307], "point3d": 2191, "pointer": 2232, "pointwis": [1055, 2277, 2298, 2307], "poisson": [2205, 2249], "polar": [150, 2203], "polici": [10, 11, 13, 1498, 2213, 2278], "polli": 1146, "polygon": 2199, "polynomi": [146, 720, 1280, 2201, 2218], "pop": [6, 2191, 2194, 2199, 2218, 2220, 2228, 2285, 2289], "popul": [12, 17, 150, 176, 179, 184, 195, 718, 770, 1443, 1453, 2194, 2199], "popular": [5, 2186, 2190, 2199, 2227], "pork": [139, 140, 1174, 1175], "port": [6, 16, 17, 18, 19, 24, 25, 28, 29, 32, 251, 253, 258, 260, 263, 265, 268, 272, 341, 884, 886, 889, 892, 895, 1431, 1469, 1470, 1471, 1475, 1476, 1478, 1479, 1485, 1486, 1487, 2199, 2213, 2232, 2235, 2257], "portabl": 2218, "portfolio": 2220, "portion": [4, 2197, 2199, 2246, 2277], "portland": 81, "portugues": [291, 314, 643, 667], "pose": 2199, "posit": [0, 3, 15, 25, 42, 54, 72, 73, 77, 83, 102, 113, 121, 136, 138, 141, 152, 160, 163, 183, 186, 187, 188, 189, 190, 192, 195, 196, 197, 205, 211, 230, 241, 248, 249, 257, 259, 269, 273, 276, 284, 285, 356, 357, 359, 360, 378, 380, 381, 383, 401, 423, 435, 462, 465, 489, 490, 499, 581, 582, 586, 587, 588, 589, 594, 635, 696, 712, 714, 715, 716, 717, 738, 741, 761, 762, 763, 764, 765, 766, 770, 771, 778, 794, 804, 830, 833, 835, 857, 858, 859, 864, 865, 881, 882, 890, 900, 902, 912, 913, 953, 1053, 1060, 1064, 1128, 1148, 1149, 1152, 1158, 1172, 1184, 1187, 1188, 1194, 1201, 1202, 1203, 1207, 1208, 1211, 1229, 1231, 1232, 1248, 1249, 1255, 1262, 1263, 1264, 1269, 1270, 1289, 1304, 1305, 1321, 1322, 1355, 1371, 1394, 1398, 1419, 1423, 1433, 1469, 1470, 1486, 1741, 2185, 2186, 2188, 2191, 2192, 2194, 2196, 2199, 2207, 2208, 2209, 2210, 2211, 2212, 2216, 2217, 2218, 2220, 2222, 2227, 2230, 2232, 2235, 2238, 2241, 2246, 2249, 2266, 2271, 2274, 2275, 2283, 2285, 2293, 2294, 2295, 2297, 2298, 2302], "position": [449, 467, 473, 1131, 1136, 2228, 2235], "position_float": 1433, "posix": [973, 1002, 1018, 1498, 2210, 2235], "possess": 2289, "possibl": [0, 1, 2, 3, 5, 7, 10, 12, 13, 14, 16, 17, 19, 24, 34, 39, 49, 77, 81, 89, 97, 124, 125, 143, 146, 162, 169, 188, 189, 195, 197, 212, 253, 256, 258, 265, 267, 273, 288, 296, 318, 354, 377, 445, 601, 620, 639, 652, 673, 700, 701, 719, 720, 764, 765, 770, 787, 886, 888, 889, 895, 896, 900, 916, 938, 940, 943, 948, 1118, 1167, 1192, 1224, 1253, 1280, 1345, 1375, 1391, 1400, 1403, 1404, 1431, 1433, 1446, 1469, 1473, 1475, 1476, 1482, 1483, 1486, 1487, 1488, 1490, 1498, 1499, 1500, 2166, 2167, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2207, 2208, 2211, 2212, 2217, 2218, 2219, 2220, 2222, 2224, 2228, 2229, 2231, 2238, 2241, 2246, 2249, 2250, 2257, 2264, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2307], "possibledatalosserror": [2218, 2294], "possibleprecisionloss": 2294, "possibli": [15, 63, 152, 341, 590, 893, 1373, 1435, 1469, 1486, 1498, 1578, 1598, 1657, 1677, 2186, 2194, 2195, 2197, 2198, 2199, 2204, 2214, 2216, 2220, 2228, 2229, 2283, 2294, 2298], "post": [4, 16, 17, 18, 19, 35, 2199, 2214, 2235, 2271], "postbank": 2220, "postgr": [2, 1482, 1484, 2199, 2226, 2307], "postgresql": [22, 267, 896, 2199, 2220, 2241, 2246, 2298, 2307], "potenti": [0, 2, 16, 17, 18, 19, 34, 63, 75, 76, 481, 505, 584, 585, 873, 1119, 1142, 1478, 2186, 2190, 2191, 2192, 2193, 2195, 2197, 2199, 2200, 2201, 2204, 2209, 2210, 2211, 2212, 2213, 2218, 2228, 2230, 2231, 2232, 2235, 2236, 2238, 2241, 2246, 2257, 2265, 2307, 2308], "potter": 2199, "pound": 241, "pow": [69, 109, 129, 171, 173, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 795, 2218, 2231, 2265, 2294, 2307], "power": [16, 17, 19, 21, 26, 28, 30, 31, 32, 34, 69, 109, 129, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 773, 795, 2184, 2186, 2199, 2207, 2210, 2225, 2235, 2249], "powershel": 5, "pprint": [2216, 2231, 2232], "pprint_nest_depth": [1345, 1391, 1488, 1490, 2202], "pptx": 2283, "pqr": 2222, "pr": [1, 4, 13, 2256], "practic": [3, 23, 34, 2185, 2199, 2207, 2210, 2211, 2220, 2239, 2249, 2260], "pragmat": 2211, "pre": [5, 6, 8, 11, 22, 1343, 1415, 1416, 2184, 2186, 2195, 2210, 2211, 2217, 2222, 2230, 2231, 2265, 2274, 2283, 2289], "preambl": [259, 890], "preced": [3, 163, 203, 251, 273, 284, 345, 532, 692, 741, 884, 900, 912, 1142, 1345, 1391, 1488, 1490, 1498, 2186, 2191, 2193, 2197, 2199, 2202, 2207, 2210, 2220, 2228, 2230, 2302], "precip": 486, "precis": [119, 258, 334, 336, 681, 695, 889, 916, 923, 933, 1005, 1343, 1345, 1391, 1394, 1400, 1403, 1404, 1415, 1433, 1436, 1467, 1469, 1476, 1484, 1486, 1488, 1490, 1498, 1499, 1500, 2199, 2202, 2207, 2210, 2212, 2219, 2220, 2225, 2226, 2227, 2230, 2232, 2235, 2241, 2242, 2246, 2248, 2249, 2265, 2271, 2274, 2283, 2289, 2290, 2294, 2298, 2302, 2307, 2309], "precise_float": [1476, 2199], "precomput": [2191, 2225], "predefin": [28, 2188, 2210, 2246, 2302], "predict": [3, 2190, 2197, 2207, 2220, 2307], "preexist": [1069, 1071, 1072, 1432], "prefer": [3, 5, 13, 15, 21, 32, 94, 97, 207, 322, 378, 417, 465, 489, 562, 620, 677, 781, 873, 1167, 1224, 1455, 1498, 1501, 2186, 2187, 2193, 2197, 2211, 2218, 2238], "prefix": [1, 3, 21, 24, 70, 71, 203, 272, 579, 580, 832, 854, 855, 1389, 1390, 1421, 1443, 1487, 1488, 1489, 2185, 2193, 2199, 2201, 2204, 2208, 2214, 2215, 2219, 2220, 2248, 2271, 2283, 2285, 2289, 2298], "prefix_a": [1389, 2204], "prefix_b": [1389, 2204], "prefix_sep": [1390, 2204], "prematur": [2242, 2246], "preorder": 353, "prepar": [26, 2185, 2199, 2211, 2307], "prepend": [852, 874, 1390, 1400, 2199, 2207, 2222], "preprocess_data": 2199, "prerequisit": 1423, "prescrib": 241, "preselect": [1397, 1430], "presenc": [39, 1076, 1498, 2199, 2204, 2208, 2215, 2219, 2222, 2228, 2238, 2241, 2246, 2260, 2263, 2265, 2277, 2278, 2294, 2302], "present": [0, 2, 3, 4, 9, 10, 19, 79, 85, 114, 125, 147, 188, 189, 200, 201, 207, 209, 245, 362, 363, 376, 591, 596, 681, 699, 701, 764, 765, 774, 775, 781, 783, 854, 855, 862, 866, 879, 1031, 1040, 1051, 1076, 1169, 1177, 1178, 1181, 1189, 1200, 1226, 1236, 1237, 1240, 1250, 1261, 1271, 1275, 1276, 1281, 1290, 1295, 1388, 1443, 1741, 2185, 2187, 2188, 2192, 2193, 2194, 2197, 2208, 2212, 2219, 2220, 2225, 2226, 2228, 2229, 2230, 2233, 2235, 2238, 2239, 2240, 2243, 2246, 2249, 2250, 2251, 2265, 2266, 2267, 2271, 2277, 2278, 2283, 2289, 2294, 2295, 2298, 2302], "present_valu": 3, "preserv": [6, 14, 19, 56, 74, 94, 134, 151, 153, 169, 230, 258, 262, 278, 331, 420, 436, 583, 586, 686, 709, 799, 804, 889, 904, 908, 911, 992, 1053, 1061, 1172, 1201, 1229, 1262, 1342, 1400, 1421, 1446, 1469, 1470, 1475, 1476, 1485, 1486, 1487, 2163, 2167, 2185, 2186, 2188, 2191, 2192, 2195, 2197, 2199, 2200, 2201, 2204, 2207, 2209, 2210, 2212, 2216, 2217, 2218, 2220, 2221, 2222, 2224, 2226, 2227, 2228, 2229, 2230, 2231, 2238, 2239, 2246, 2265, 2267, 2269, 2273, 2274, 2275, 2289, 2294, 2298, 2300, 2304, 2306, 2307], "preserve_dtyp": [1485, 2199], "presid": 2289, "presort": 2257, "pressur": 27, "presto": 2199, "pretend": 2211, "pretti": [272, 1345, 1391, 1488, 1490, 2185, 2197, 2199, 2202, 2207, 2229, 2265], "pretty_print": [272, 2199], "prevent": [259, 890, 1146, 1478, 1498, 2185, 2188, 2192, 2199, 2207, 2216, 2218, 2220, 2224, 2225, 2228, 2229, 2230, 2232, 2237, 2241, 2242, 2246, 2249, 2263, 2271, 2277, 2283, 2294, 2296, 2307], "preview": [1, 3, 6, 11, 2220], "previou": [2, 3, 10, 13, 15, 25, 26, 28, 29, 30, 31, 36, 108, 182, 184, 185, 203, 207, 208, 362, 363, 378, 417, 465, 489, 617, 630, 760, 781, 782, 1165, 1186, 1202, 1222, 1247, 1274, 1275, 1453, 1454, 1475, 1741, 2185, 2188, 2193, 2195, 2196, 2197, 2199, 2207, 2210, 2214, 2217, 2219, 2220, 2222, 2223, 2224, 2225, 2226, 2228, 2231, 2232, 2233, 2235, 2238, 2239, 2241, 2246, 2249, 2265, 2271, 2277, 2278, 2283, 2289, 2294, 2298, 2302, 2307], "previous": [3, 13, 190, 193, 212, 251, 286, 354, 766, 768, 787, 884, 1399, 2190, 2199, 2210, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2239, 2240, 2241, 2242, 2246, 2249, 2265, 2267, 2271, 2277, 2283, 2289, 2294, 2298, 2299, 2302], "previous_fridai": 2210, "price": [28, 207, 213, 345, 781, 788, 1447, 2195, 2199, 2200, 2211, 2216, 2232, 2238, 2294], "primari": [2, 34, 63, 267, 896, 953, 1436, 2185, 2186, 2192, 2194, 2197, 2199, 2207, 2210, 2228], "primarili": [12, 141, 160, 381, 717, 738, 2168, 2188, 2197, 2198, 2207, 2210, 2216, 2218, 2220], "primary_kei": 1436, "primarykei": [258, 889, 1436, 1476, 2199, 2235], "primat": 2195, "prime": [240, 816, 2212], "primer": [3, 2207], "primit": [2193, 2199], "principl": [34, 2190], "print": [3, 5, 16, 22, 30, 67, 128, 144, 150, 151, 152, 158, 186, 251, 257, 259, 260, 269, 272, 348, 349, 350, 352, 353, 576, 704, 728, 733, 762, 884, 890, 892, 1031, 1035, 1147, 1188, 1206, 1249, 1268, 1309, 1326, 1345, 1349, 1391, 1424, 1432, 1437, 1438, 1439, 1473, 1488, 1490, 2184, 2186, 2188, 2191, 2194, 2195, 2196, 2197, 2199, 2202, 2205, 2207, 2210, 2211, 2212, 2213, 2216, 2217, 2218, 2219, 2220, 2222, 2224, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2235, 2239, 2243, 2246, 2247, 2248, 2249, 2250, 2253, 2256, 2257, 2261, 2265, 2271, 2277, 2281, 2298, 2300, 2302], "print_vers": 2235, "printopt": 2263, "prior": [1, 2, 10, 13, 34, 94, 110, 182, 760, 1119, 1280, 1387, 1433, 1447, 2184, 2185, 2186, 2193, 2199, 2200, 2202, 2208, 2212, 2213, 2214, 2215, 2217, 2223, 2224, 2226, 2237, 2239, 2257, 2279, 2295], "priori": 2199, "priorit": 176, "prioriti": 10, "prioritis": [1395, 1397, 1398, 1403, 1407, 1408, 1409, 1410, 1411, 1413, 1418, 1430], "privaci": 2213, "privat": [0, 2, 6, 2172, 2235, 2246, 2254, 2269], "private_kei": [2265, 2277], "prng": [2210, 2220, 2264], "prob": [2186, 2227], "probabl": [1, 2, 3, 12, 22, 191, 194, 223, 767, 769, 798, 1194, 1255, 1317, 1334, 1469, 1475, 1486, 1498, 2194, 2197, 2199, 2207, 2277], "problem": [44, 203, 1741, 2186, 2188, 2195, 2196, 2197, 2199, 2205, 2210, 2212, 2223, 2224, 2227, 2228, 2234, 2235, 2239, 2246, 2260, 2277, 2298, 2307], "problemat": [2186, 2198], "proc": 16, "procedur": [353, 1457, 2186, 2195, 2235], "process": [1, 2, 3, 4, 8, 11, 18, 20, 21, 34, 35, 36, 144, 250, 883, 1064, 1272, 1275, 1345, 1379, 1391, 1432, 1469, 1473, 1486, 1488, 1490, 2184, 2186, 2192, 2193, 2195, 2199, 2202, 2203, 2204, 2205, 2207, 2208, 2210, 2211, 2214, 2218, 2227, 2231, 2235, 2242, 2246, 2261, 2262, 2263, 2291, 2294, 2298, 2299, 2302, 2307], "process_your_fil": 2200, "processor": [1491, 2199], "procur": 34, "prod": [2, 72, 73, 105, 201, 581, 582, 627, 775, 1041, 1269, 1270, 1304, 1321, 2186, 2195, 2201, 2217, 2240, 2261, 2271, 2277, 2282, 2283, 2289, 2294, 2298, 2302], "produc": [2, 5, 21, 34, 72, 73, 77, 134, 184, 186, 187, 207, 208, 218, 240, 250, 268, 273, 279, 581, 582, 586, 698, 709, 762, 763, 781, 782, 793, 816, 845, 883, 900, 906, 1148, 1149, 1152, 1167, 1168, 1188, 1203, 1207, 1208, 1211, 1224, 1225, 1249, 1264, 1269, 1270, 1296, 1298, 1299, 1304, 1305, 1306, 1308, 1321, 1322, 1323, 1325, 1406, 1416, 1419, 1423, 1453, 1467, 1469, 1476, 1486, 1498, 2186, 2188, 2194, 2195, 2197, 2199, 2202, 2204, 2210, 2211, 2212, 2217, 2218, 2220, 2222, 2224, 2225, 2229, 2230, 2232, 2235, 2238, 2241, 2242, 2246, 2249, 2256, 2258, 2261, 2265, 2271, 2272, 2277, 2279, 2283, 2284, 2286, 2289, 2294, 2298, 2302, 2304, 2308, 2309], "product": [34, 103, 104, 105, 106, 110, 139, 140, 153, 169, 200, 478, 485, 486, 487, 488, 625, 626, 627, 628, 632, 774, 1154, 1162, 1174, 1175, 1219, 1446, 2184, 2186, 2195, 2197, 2200, 2201, 2206, 2218, 2219, 2238, 2240, 2241, 2294], "product_1": [2195, 2238], "product_2": [2195, 2238], "product_3": 2238, "product_volum": 2195, "profession": 5, "profil": [6, 2193, 2202], "profile_default": 2202, "profit": 34, "program": [17, 21, 36, 2194, 2199], "programm": 3, "programmat": [2188, 2199], "programmingerror": 2271, "progress": [0, 255, 1416, 1473, 2265, 2271], "progress_bar": 255, "progress_bar_typ": [1473, 2265], "prohibit": 2249, "project": [0, 1, 2, 3, 6, 8, 10, 13, 240, 255, 816, 875, 876, 877, 1463, 1473, 2218, 2219, 2225, 2229, 2235, 2307], "project_id": [255, 1473, 2218], "projectid": 2218, "prolept": [510, 972, 1011], "promin": 2249, "promot": [34, 2186, 2220, 2227, 2228, 2238, 2241], "prone": [1469, 1486, 2199], "proof": 2238, "prop": [1398, 1400, 1407, 1408, 1409, 1410, 1411, 1421, 1423, 1433, 2207], "propag": [16, 19, 74, 78, 79, 82, 124, 125, 162, 181, 207, 208, 342, 351, 405, 583, 591, 593, 700, 701, 740, 759, 781, 782, 862, 866, 1040, 1052, 1166, 1167, 1223, 1224, 1447, 2186, 2190, 2191, 2197, 2198, 2200, 2208, 2216, 2218, 2219, 2220, 2229, 2230, 2231, 2232, 2233, 2234, 2238, 2239, 2246, 2249, 2260, 2265, 2274, 2276, 2277, 2280, 2283, 2289, 2290, 2294, 2298, 2302, 2303, 2307], "propcas": 16, "proper": [2, 17, 1031, 1476, 1498, 2199, 2218, 2224, 2225, 2226, 2227, 2231, 2238, 2249, 2255, 2261, 2265, 2280, 2283], "properli": [10, 1348, 1475, 2195, 2199, 2202, 2217, 2218, 2220, 2221, 2222, 2223, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2247, 2249, 2265, 2286, 2289, 2302, 2307], "properti": [2, 3, 17, 41, 42, 43, 45, 47, 48, 53, 54, 56, 57, 64, 83, 85, 86, 115, 117, 138, 141, 160, 174, 227, 229, 231, 243, 274, 282, 289, 290, 292, 293, 294, 295, 297, 298, 299, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 315, 317, 319, 323, 324, 329, 332, 333, 335, 336, 338, 340, 355, 374, 384, 396, 397, 409, 410, 411, 412, 422, 424, 437, 458, 467, 469, 471, 477, 480, 495, 496, 497, 539, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 554, 555, 556, 557, 558, 559, 560, 561, 564, 565, 566, 567, 570, 571, 572, 574, 590, 594, 596, 604, 637, 658, 659, 660, 661, 690, 691, 693, 705, 711, 714, 717, 721, 722, 723, 738, 750, 751, 752, 802, 803, 805, 909, 941, 942, 946, 947, 949, 976, 977, 978, 979, 980, 981, 1012, 1031, 1048, 1057, 1058, 1062, 1068, 1069, 1071, 1072, 1089, 1091, 1101, 1117, 1126, 1132, 1133, 1134, 1135, 1137, 1171, 1176, 1183, 1188, 1228, 1233, 1234, 1235, 1244, 1249, 1278, 1279, 1407, 1408, 1409, 1410, 1411, 1418, 1419, 1423, 1432, 1435, 1437, 2169, 2172, 2186, 2188, 2192, 2197, 2199, 2202, 2206, 2208, 2209, 2210, 2211, 2214, 2218, 2220, 2222, 2223, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2253, 2261, 2265, 2271, 2277, 2283, 2289, 2291, 2294, 2302], "propindex": 2199, "proport": [188, 189, 196, 281, 436, 764, 765, 771, 908, 1194, 1204, 1255, 2188, 2211, 2298, 2307], "propos": [0, 13, 16, 17, 18, 19, 2298], "protect": [1403, 2190, 2200, 2230], "protocol": [16, 17, 18, 19, 66, 265, 895, 1077, 1475, 2172, 2197, 2199, 2201, 2235, 2238, 2271, 2277, 2279], "proud": 2229, "provid": [1, 2, 3, 4, 5, 8, 9, 10, 12, 13, 14, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 36, 39, 44, 46, 60, 63, 79, 82, 83, 94, 95, 107, 119, 121, 122, 131, 138, 169, 193, 196, 203, 212, 218, 219, 250, 255, 262, 263, 267, 273, 346, 351, 381, 466, 486, 487, 509, 568, 573, 591, 593, 594, 613, 618, 629, 695, 696, 697, 714, 740, 768, 771, 787, 793, 883, 896, 900, 918, 1031, 1068, 1079, 1081, 1084, 1085, 1087, 1093, 1095, 1097, 1104, 1110, 1112, 1114, 1115, 1148, 1149, 1164, 1170, 1174, 1175, 1190, 1191, 1192, 1193, 1196, 1221, 1227, 1251, 1252, 1253, 1254, 1257, 1277, 1280, 1338, 1339, 1340, 1341, 1343, 1345, 1358, 1387, 1391, 1407, 1417, 1432, 1446, 1469, 1471, 1475, 1478, 1479, 1482, 1483, 1484, 1486, 1488, 1490, 1491, 1498, 2167, 2168, 2169, 2180, 2184, 2185, 2186, 2190, 2191, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2220, 2221, 2222, 2224, 2225, 2228, 2229, 2230, 2231, 2232, 2233, 2235, 2236, 2237, 2238, 2241, 2242, 2243, 2246, 2249, 2261, 2265, 2267, 2269, 2271, 2274, 2277, 2279, 2280, 2283, 2289, 2291, 2294, 2295, 2297, 2298, 2302, 2307], "provision": 2235, "proxi": 2217, "prun": 2193, "prune": 1, "ps1": 5, "pser": 2246, "pseudo": [1403, 1404, 1423, 1741, 2207], "pseudo_css": 1403, "psittaciform": 2195, "psql_insert_copi": 2199, "pst": 2210, "psycopg2": [22, 1482, 1483, 2199, 2294, 2302, 2307], "pt_br": [291, 314, 643, 667], "ptp": [2229, 2246, 2265], "pub": [2199, 2283], "public": [0, 2, 4, 10, 13, 2172, 2184, 2199, 2221, 2224, 2228, 2232, 2235, 2238, 2241, 2246, 2249, 2265, 2270, 2273, 2294, 2302, 2307], "public_repo": 6, "publicata": 2218, "publicdata": 2218, "publicli": 1, "publish": [0, 345, 1345, 1391, 1488, 1490, 2202, 2232, 2235], "pubu": [1397, 1430], "puff": [359, 360, 587, 588], "pull": [2, 4, 5, 6, 8, 10, 11, 22, 2191, 2210], "punctuat": [203, 836, 837, 838, 839, 840, 841, 842, 843, 844], "puppi": 740, "pure": [15, 29, 141, 285, 717, 913, 1420, 2197, 2199, 2217, 2218, 2235, 2241, 2257, 2260], "puriti": [2185, 2260], "purpl": [251, 482, 484, 487, 884, 2197, 2207], "purpos": [1, 2, 3, 34, 1152, 1211, 1345, 1391, 1400, 1403, 1404, 1415, 1487, 1488, 1490, 2197, 2199, 2202, 2204, 2207, 2211, 2212, 2235], "push": [2, 5, 13, 1475, 2210, 2277], "put": [2, 4, 10, 13, 16, 17, 22, 25, 26, 233, 234, 346, 347, 348, 349, 350, 352, 353, 423, 427, 502, 807, 808, 1044, 1345, 1391, 1475, 1488, 1490, 2197, 2199, 2202, 2214, 2216, 2218, 2222, 2223, 2225, 2228, 2241, 2249, 2265, 2271, 2283, 2294], "put_valu": 2255, "putmask": [2239, 2277, 2283, 2286, 2289, 2298, 2302], "putsmmyi": [2216, 2223], "putsyymmdd": 2223, "puzzl": 2238, "pvt_df": 2199, "pwd": [2, 5, 8], "px": 257, "pxi": [2191, 2194], "py": [1, 2, 4, 5, 6, 10, 13, 15, 16, 17, 18, 19, 22, 26, 27, 29, 30, 31, 337, 2184, 2185, 2186, 2188, 2191, 2192, 2193, 2194, 2197, 2199, 2200, 2201, 2202, 2203, 2205, 2208, 2210, 2212, 2218, 2220, 2221, 2226, 2229, 2230, 2231, 2232, 2235, 2236, 2240, 2241, 2246, 2249, 2257, 2259, 2265, 2283, 2289, 2294, 2298, 2302, 2307], "py2": 2230, "py27": 2267, "py2app": 2224, "py3": [1476, 2199, 2218, 2219], "py3compat": 2218, "py_ssize_t": 2193, "pyarrow": [9, 10, 22, 37, 97, 254, 262, 263, 620, 735, 736, 737, 875, 876, 877, 915, 1034, 1068, 1118, 1119, 1120, 1345, 1391, 1468, 1469, 1470, 1471, 1472, 1475, 1476, 1477, 1478, 1481, 1482, 1483, 1484, 1486, 1487, 1488, 1490, 1499, 2184, 2194, 2196, 2199, 2201, 2202, 2205, 2238, 2246, 2249, 2265, 2271, 2277, 2278, 2295, 2299, 2300, 2301, 2303, 2306, 2308, 2309], "pyarrow_csv": [2203, 2298], "pyarrow_dtyp": [37, 2199], "pyarrow_json": 2199, "pyarrow_numpi": [915, 2203, 2283, 2302, 2304, 2306, 2307], "pyarrowimpl": [2184, 2199, 2205], "pybuild": [16, 17, 18, 19, 2184, 2185, 2186, 2188, 2191, 2192, 2193, 2194, 2197, 2199, 2200, 2201, 2202, 2203, 2205, 2208, 2210, 2212, 2232, 2235, 2246, 2249, 2265, 2283, 2294, 2298, 2302, 2307], "pycc": 2193, "pycharm": 5, "pydata": [13, 22, 34, 36, 2197, 2199, 2207, 2211, 2222, 2238, 2269, 2302, 2307], "pyenv": [5, 2250], "pylab": [187, 763], "pymysql": [22, 2199, 2230, 2247, 2249, 2265, 2271, 2277, 2278, 2283, 2289, 2294], "pyobjecthasht": [2191, 2194], "pyodbc": 2199, "pyperclip": [250, 883, 2230], "pyperclipexcept": 2294, "pyperclipwindowsexcept": 2294, "pypi": [13, 21, 407, 2229, 2233, 2249, 2265, 2281, 2284], "pyplot": [26, 31, 91, 137, 188, 190, 192, 195, 196, 197, 764, 766, 770, 771, 1173, 1458, 1466, 2184, 2211, 2239, 2261, 2265], "pyproject": [22, 2238, 2265], "pyqt": 2256, "pyqt4": [22, 250, 883, 2199, 2241], "pyqt5": [22, 2199, 2241, 2302, 2307], "pyreadstat": [22, 2294, 2302, 2307], "pyright": 2, "pyright_reportgeneraltypeissu": 2, "pysid": 2218, "pyt3": 2218, "pytabl": [22, 256, 346, 349, 351, 352, 353, 888, 1474, 2172, 2196, 2213, 2215, 2217, 2218, 2222, 2226, 2235, 2236, 2238, 2246, 2249, 2265, 2271, 2276, 2277, 2283, 2289, 2294, 2302, 2307], "pytest": [6, 10, 22, 1492, 2235, 2237, 2238, 2246, 2249, 2265, 2271, 2277, 2283, 2289, 2298, 2302], "python": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 15, 16, 17, 19, 23, 25, 26, 27, 31, 34, 36, 62, 77, 78, 82, 97, 98, 120, 141, 152, 160, 162, 203, 249, 265, 267, 289, 322, 352, 388, 403, 418, 421, 428, 432, 532, 562, 576, 578, 586, 593, 615, 620, 621, 631, 641, 677, 681, 682, 706, 717, 727, 738, 747, 749, 773, 777, 780, 790, 791, 792, 795, 796, 797, 818, 827, 836, 837, 838, 839, 840, 841, 842, 843, 844, 846, 862, 866, 867, 878, 882, 891, 895, 896, 901, 915, 916, 918, 932, 953, 999, 1009, 1031, 1065, 1101, 1109, 1143, 1202, 1203, 1263, 1264, 1345, 1373, 1374, 1387, 1391, 1403, 1404, 1469, 1474, 1486, 1488, 1490, 1491, 1492, 2167, 2184, 2185, 2186, 2188, 2191, 2194, 2195, 2196, 2199, 2201, 2203, 2206, 2207, 2208, 2212, 2213, 2214, 2216, 2217, 2218, 2220, 2222, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2233, 2234, 2235, 2236, 2237, 2239, 2242, 2243, 2244, 2245, 2247, 2248, 2249, 2250, 2251, 2253, 2254, 2255, 2257, 2261, 2263, 2270, 2271, 2276, 2278, 2283, 2290, 2291, 2294, 2297, 2298, 2301, 2303, 2307], "python2": [825, 2234, 2249], "python3": [2, 5, 15, 16, 17, 18, 19, 22, 825, 2188, 2193, 2199, 2203, 2212, 2217, 2219, 2222, 2232, 2235, 2241, 2242, 2246, 2249, 2298], "python_calamin": 2199, "pythonhashse": 2, "pythonoptim": 2285, "pythonpars": [2218, 2220, 2265], "pythonpath": 2, "pytorch": 2289, "pytz": [22, 286, 329, 330, 331, 684, 685, 686, 953, 956, 972, 995, 1013, 1014, 2199, 2210, 2221, 2241, 2246, 2249, 2261, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2307], "pyx": [2185, 2191, 2194, 2199, 2201, 2210], "pyxlsb": [22, 337, 1345, 1391, 1470, 1488, 1490, 2199, 2202, 2265, 2294, 2302, 2307], "q": [24, 25, 29, 36, 184, 202, 380, 529, 532, 540, 776, 1008, 1190, 1251, 1291, 1314, 1331, 1452, 1453, 1467, 2186, 2199, 2210, 2222, 2230, 2238, 2245, 2264, 2265, 2277, 2302], "q1": [91, 118, 132, 135, 159, 161, 175, 190, 532, 766, 1458, 2226], "q2": [91, 118, 132, 135, 159, 161, 175, 190, 766, 1458], "q3": [91, 190, 766, 1458], "q_25": 2186, "q_75": 2186, "q_left": [1411, 2207], "q_right": 1411, "qcut": [445, 459, 1125, 1343, 2186, 2223, 2235, 2241, 2246, 2261, 2265, 2266, 2271, 2283, 2307], "qe": [213, 637, 788, 2210], "qnan": [1469, 1470, 1486, 2199], "qt": [2225, 2228, 2232, 2235, 2241], "qtapplic": 2235, "qtconsol": [1345, 1391, 1488, 1490, 2202, 2219, 2241], "qth": [1190, 1251], "qtpanda": [2218, 2225], "qtpy": [22, 2199, 2241, 2307], "qtr_with_extra_week": [1517, 1535, 1553, 1571, 1591, 1612, 1631, 1648, 1670, 1691, 1712, 1733, 1752, 1770, 1787, 1806, 1815, 1828, 1851, 1868, 1888, 1906, 1924, 1941, 1958, 1976, 1993, 2011, 2030, 2048, 2066, 2084, 2101, 2119, 2138, 2156], "quadrat": [146, 720, 1280, 2201, 2218], "qualifi": [2221, 2223, 2235], "qualiti": [13, 26, 27, 29, 30, 31, 2186], "quantifi": 2232, "quantil": [445, 459, 1125, 1343, 1407, 1408, 1409, 1410, 1411, 1467, 2195, 2209, 2218, 2220, 2221, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2235, 2238, 2241, 2245, 2246, 2249, 2250, 2251, 2252, 2261, 2265, 2269, 2271, 2277, 2283, 2285, 2286, 2287, 2289, 2294, 2297, 2298, 2302], "quantilet": 2263, "quantit": [187, 189, 763, 765], "quantiti": [836, 837, 838, 839, 840, 841, 842, 843, 844, 1447, 2195, 2200, 2204, 2220, 2232, 2238], "quarta": [291, 643], "quarter": [31, 213, 306, 307, 421, 510, 529, 532, 540, 552, 637, 658, 659, 788, 978, 979, 1008, 1506, 1513, 1514, 1524, 1531, 1532, 1549, 1550, 1567, 1568, 1587, 1588, 1608, 1609, 1627, 1628, 1644, 1645, 1666, 1667, 1687, 1688, 1708, 1709, 1729, 1730, 1748, 1749, 1766, 1767, 1783, 1784, 1802, 1803, 1815, 1824, 1825, 1847, 1848, 1864, 1865, 1884, 1885, 1902, 1903, 1920, 1921, 1937, 1938, 1954, 1955, 1972, 1973, 1982, 1989, 1990, 2000, 2007, 2008, 2026, 2027, 2044, 2045, 2062, 2063, 2080, 2081, 2097, 2098, 2115, 2116, 2134, 2135, 2152, 2153, 2210, 2220, 2226, 2227, 2230, 2235, 2241, 2271, 2307], "quarterbegin": [2172, 2210], "quarterend": [2172, 2210, 2255, 2307], "quarterli": [532, 2210, 2228, 2261, 2294], "quarters_seri": 637, "quartil": [91, 190, 766, 1458, 1467, 2186], "queri": [18, 22, 120, 256, 346, 888, 1368, 1383, 1387, 1473, 1479, 1482, 1483, 1484, 2186, 2191, 2193, 2196, 2214, 2215, 2218, 2219, 2220, 2221, 2222, 2224, 2225, 2226, 2227, 2230, 2231, 2232, 2233, 2241, 2246, 2247, 2249, 2251, 2263, 2265, 2271, 2283, 2289, 2292, 2298, 2307, 2308], "queryabl": 2199, "question": [0, 1, 13, 34, 144, 168, 203, 2186, 2190, 2196, 2211, 2212, 2298], "quetzal": [260, 892, 2271, 2298], "quick": [1, 3, 20, 21, 22, 23, 26, 2184, 2186, 2191, 2197, 2199, 2210, 2229], "quickest": 22, "quickli": [2, 35, 136, 248, 712, 881, 1473, 2197, 2199], "quicksort": [233, 234, 589, 807, 808, 1044, 2220], "quirk": 2199, "quit": [1, 2, 3, 4, 193, 768, 1152, 1211, 1345, 1391, 1433, 1488, 1490, 1498, 2185, 2186, 2191, 2195, 2199, 2202, 2207, 2216, 2220, 2235], "quot": [3, 16, 17, 18, 19, 203, 251, 884, 1035, 1447, 1469, 1486, 2200, 2203, 2207, 2231, 2232, 2233, 2234, 2235, 2249, 2261, 2265, 2298], "quotat": [2232, 2233], "quote_": [1469, 1486, 2199], "quote_al": [1469, 1486, 2199], "quote_minim": [251, 884, 1469, 1486, 2199], "quote_non": [1469, 1486, 2199, 2218], "quote_nonnumer": [251, 884, 1469, 1486, 2199], "quotechar": [16, 17, 18, 19, 251, 884, 1469, 1486, 2199, 2203, 2214, 2220, 2232, 2235, 2298, 2307], "quux": 2197, "qux": [504, 807, 2184, 2185, 2186, 2195, 2199, 2204, 2215, 2222, 2235, 2241, 2249], "qyear": [532, 540], "r": [1, 2, 5, 16, 17, 18, 19, 20, 21, 23, 34, 39, 46, 212, 251, 256, 259, 322, 380, 428, 562, 573, 677, 787, 818, 828, 829, 832, 836, 837, 838, 839, 840, 841, 842, 843, 844, 857, 866, 873, 884, 888, 890, 1269, 1270, 1345, 1391, 1403, 1433, 1462, 1469, 1474, 1486, 1488, 1490, 2166, 2186, 2191, 2193, 2196, 2197, 2199, 2201, 2202, 2203, 2207, 2208, 2210, 2211, 2217, 2218, 2220, 2222, 2224, 2225, 2227, 2230, 2231, 2232, 2235, 2237, 2241, 2246, 2261, 2294, 2298, 2302, 2307], "r0": 2207, "r1": 2207, "r2": 2207, "r_": [15, 2235], "rab": [857, 2208], "rabbit": [3, 126, 137, 186, 188, 189, 702, 740, 762, 764, 765, 831, 1161, 1173, 1188, 1198, 1202, 1218, 1249, 1263], "radd": [69, 578, 2186], "radiu": [196, 771, 2207], "radviz": [2172, 2220, 2222, 2262], "rag": [15, 34], "raggedleft": 1433, "raggedright": 1433, "rai": 2199, "rain": [1397, 1430, 2207], "rain_condit": 2207, "rais": [2, 3, 5, 10, 13, 15, 16, 17, 18, 19, 22, 39, 41, 49, 50, 53, 58, 60, 61, 62, 80, 82, 83, 84, 88, 90, 96, 111, 119, 123, 127, 130, 138, 139, 140, 141, 145, 146, 157, 160, 169, 176, 184, 198, 203, 209, 212, 224, 230, 255, 258, 262, 267, 268, 273, 277, 278, 280, 286, 288, 296, 318, 326, 330, 331, 334, 337, 341, 342, 350, 362, 364, 367, 368, 383, 389, 401, 403, 417, 425, 429, 430, 434, 462, 482, 592, 593, 594, 595, 600, 602, 605, 608, 611, 613, 614, 615, 633, 637, 639, 652, 673, 680, 685, 686, 695, 703, 714, 715, 716, 717, 720, 724, 727, 732, 738, 772, 783, 787, 804, 835, 845, 857, 859, 866, 889, 896, 900, 903, 904, 917, 929, 940, 943, 948, 954, 956, 957, 970, 997, 1013, 1014, 1031, 1032, 1040, 1041, 1052, 1053, 1064, 1068, 1069, 1071, 1072, 1076, 1078, 1094, 1116, 1117, 1118, 1119, 1128, 1143, 1146, 1152, 1174, 1175, 1192, 1196, 1202, 1207, 1208, 1211, 1231, 1232, 1253, 1257, 1263, 1280, 1343, 1345, 1346, 1347, 1348, 1349, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 1385, 1386, 1387, 1389, 1391, 1392, 1403, 1404, 1443, 1446, 1453, 1459, 1464, 1467, 1469, 1486, 1487, 1488, 1490, 1497, 1498, 1499, 1500, 1502, 1773, 1854, 1891, 1909, 1927, 1979, 2033, 2087, 2172, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2200, 2202, 2203, 2205, 2208, 2209, 2210, 2211, 2212, 2215, 2216, 2217, 2218, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2241, 2242, 2243, 2245, 2247, 2248, 2249, 2250, 2251, 2257, 2261, 2265, 2266, 2267, 2269, 2270, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308], "raise_conflict": [2246, 2265], "raise_on_error": [2217, 2235, 2238, 2246, 2249], "raise_parser_error": 2199, "raker": [1443, 2199], "ram": [24, 341, 2199], "ramen": [112, 116], "rand": [1416, 1456, 2166, 2185, 2186, 2195, 2197, 2205, 2207, 2211, 2214, 2216, 2218, 2220, 2224, 2228, 2230, 2235], "randal": 35, "randint": [3, 15, 192, 193, 768, 1416, 1485, 2166, 2184, 2185, 2186, 2188, 2193, 2194, 2195, 2197, 2202, 2210, 2211, 2218, 2222, 2223, 2228, 2231, 2235, 2238, 2264], "randn": [3, 15, 16, 17, 18, 19, 91, 102, 190, 192, 766, 1154, 1158, 1395, 1406, 1413, 1418, 1420, 1421, 1458, 1462, 1465, 2166, 2184, 2185, 2186, 2191, 2193, 2195, 2197, 2199, 2201, 2202, 2204, 2206, 2207, 2208, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2225, 2226, 2228, 2229, 2230, 2231, 2235, 2257, 2260, 2261, 2264, 2265], "random": [2, 3, 15, 16, 17, 18, 19, 91, 102, 144, 190, 191, 192, 193, 194, 223, 766, 767, 768, 769, 798, 1154, 1158, 1194, 1255, 1395, 1406, 1413, 1416, 1418, 1420, 1421, 1456, 1457, 1458, 1460, 1462, 1465, 1485, 2166, 2184, 2185, 2186, 2188, 2191, 2193, 2194, 2195, 2196, 2199, 2201, 2202, 2204, 2205, 2206, 2207, 2208, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2222, 2223, 2224, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2257, 2260, 2261, 2264, 2265, 2271, 2289], "random_lett": 3, "random_st": [223, 798, 1194, 1255, 2197, 2271, 2289], "random_strings_arrai": 144, "randomli": [190, 191, 194, 223, 766, 767, 769, 798, 1194, 1255, 1394], "randomst": [223, 798, 1194, 1255, 2197, 2205, 2235], "rang": [2, 3, 9, 12, 15, 17, 18, 21, 24, 34, 88, 91, 120, 163, 190, 192, 203, 205, 207, 213, 262, 263, 265, 273, 278, 284, 286, 354, 475, 498, 514, 516, 530, 532, 568, 569, 600, 741, 745, 766, 776, 778, 781, 788, 789, 895, 900, 904, 905, 912, 1073, 1075, 1138, 1145, 1152, 1154, 1192, 1194, 1211, 1253, 1255, 1343, 1344, 1358, 1365, 1371, 1382, 1394, 1397, 1398, 1407, 1408, 1409, 1410, 1411, 1416, 1430, 1436, 1447, 1457, 1458, 1465, 1467, 1470, 1478, 1479, 1498, 1502, 1506, 1524, 1542, 1560, 1598, 1620, 1637, 1657, 1677, 1699, 1720, 1741, 1776, 1793, 1815, 1857, 1930, 1947, 1982, 2000, 2036, 2054, 2090, 2108, 2127, 2145, 2166, 2184, 2186, 2188, 2191, 2193, 2194, 2196, 2199, 2200, 2201, 2204, 2205, 2207, 2208, 2211, 2212, 2216, 2217, 2218, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2228, 2229, 2231, 2232, 2234, 2235, 2241, 2246, 2249, 2257, 2265, 2271, 2277, 2283, 2289, 2294], "range_pad": 1465, "rangeindex": [9, 17, 24, 63, 86, 144, 209, 237, 262, 263, 354, 366, 368, 383, 430, 573, 1495, 2184, 2191, 2194, 2199, 2202, 2219, 2222, 2226, 2229, 2230, 2231, 2232, 2233, 2238, 2241, 2249, 2251, 2265, 2273, 2277, 2283, 2286, 2289, 2292, 2299, 2301, 2302, 2308], "rank": [18, 99, 100, 282, 459, 622, 1125, 1155, 1156, 1213, 1343, 1467, 2195, 2197, 2220, 2225, 2228, 2232, 2235, 2242, 2246, 2256, 2259, 2264, 2275, 2277, 2283, 2294, 2298, 2302, 2304], "rankdata": 2256, "raphael": [251, 259, 884, 890], "rapidli": 2219, "rare": [2, 3, 532, 2217, 2232, 2243, 2302], "rate": [112, 116, 183, 761, 1433, 2166, 2188, 2199, 2201, 2207], "rate_increas": [183, 761], "rather": [0, 2, 13, 14, 34, 77, 108, 112, 114, 203, 209, 213, 214, 218, 228, 233, 261, 281, 362, 436, 441, 442, 443, 444, 510, 575, 630, 740, 788, 793, 893, 908, 1027, 1028, 1029, 1030, 1118, 1193, 1194, 1204, 1254, 1255, 1395, 1416, 1447, 1469, 1486, 2185, 2186, 2192, 2197, 2199, 2200, 2204, 2206, 2207, 2208, 2210, 2212, 2218, 2219, 2220, 2222, 2223, 2224, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2235, 2236, 2238, 2241, 2242, 2246, 2248, 2250, 2263, 2264, 2265, 2269, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "rating_color": 1433, "ratio": [27, 236, 2186, 2191, 2199, 2211, 2212, 2225], "ratio_paris_antwerp": 27, "rational": 2197, "ravel": [2188, 2210, 2249, 2265, 2277, 2298, 2307], "ravel_compat": 2210, "raw": [16, 17, 18, 19, 24, 25, 26, 27, 28, 29, 30, 31, 32, 77, 272, 1178, 1181, 1200, 1237, 1240, 1261, 1305, 1322, 1455, 1461, 1480, 1487, 2184, 2186, 2191, 2192, 2193, 2194, 2197, 2199, 2201, 2205, 2207, 2211, 2212, 2222, 2231, 2235, 2255, 2259, 2265, 2267, 2271, 2274, 2307], "raw_cat": [41, 45, 52, 53, 57, 62, 607, 608, 609, 610, 615, 2188], "raw_doc": 2199, "raw_grad": [2184, 2222], "rawbyt": 2278, "rawiobas": 2266, "rb": [1470, 2199, 2246], "rbene": 2248, "rbi": 2191, "rcl": [259, 890], "rcparam": [137, 1173, 2222], "rdbm": 18, "rdiv": [69, 109, 129, 171, 173, 199, 204, 215, 216, 217, 220, 221, 222, 244, 275], "rdivmod": 2249, "rdr": 2199, "re": [2, 5, 10, 13, 16, 17, 18, 19, 22, 34, 81, 126, 176, 179, 212, 255, 288, 296, 318, 639, 652, 673, 702, 787, 823, 824, 828, 829, 831, 832, 850, 857, 866, 940, 943, 948, 957, 970, 997, 1107, 1376, 1416, 1473, 1475, 2184, 2185, 2191, 2192, 2193, 2194, 2197, 2199, 2201, 2202, 2203, 2205, 2207, 2208, 2210, 2211, 2214, 2218, 2219, 2232, 2235, 2238, 2239, 2241, 2243, 2246, 2249, 2250, 2265, 2271, 2277, 2289, 2294, 2298, 2302, 2307], "reach": [1, 2, 5, 874, 1152, 1211, 2220, 2298], "react": 1416, "read": [0, 1, 3, 6, 13, 18, 21, 22, 23, 25, 31, 33, 63, 77, 131, 212, 250, 253, 255, 256, 259, 262, 263, 267, 268, 337, 351, 352, 787, 883, 886, 888, 890, 896, 1091, 1349, 1354, 1373, 1374, 1431, 1468, 1469, 1470, 1471, 1472, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1482, 1483, 1484, 1485, 1486, 1487, 2184, 2186, 2188, 2192, 2195, 2201, 2205, 2207, 2208, 2210, 2212, 2214, 2215, 2217, 2218, 2219, 2220, 2221, 2222, 2224, 2225, 2226, 2228, 2229, 2230, 2232, 2233, 2234, 2235, 2237, 2238, 2239, 2240, 2242, 2246, 2248, 2249, 2250, 2253, 2258, 2261, 2265, 2267, 2270, 2271, 2272, 2273, 2275, 2277, 2278, 2285, 2295, 2298, 2302, 2304, 2306, 2307], "read_": [16, 19, 21, 24, 2229, 2231, 2271, 2277], "read_clipboard": [63, 250, 883, 1378, 2199, 2217, 2218, 2220, 2230, 2241, 2255, 2283, 2298], "read_csv": [3, 16, 17, 18, 19, 24, 25, 26, 27, 28, 29, 30, 31, 32, 63, 250, 251, 253, 883, 884, 886, 1031, 1354, 1356, 1373, 1374, 1431, 1455, 1461, 1468, 1470, 1472, 1475, 1486, 2184, 2186, 2188, 2191, 2192, 2197, 2199, 2201, 2203, 2205, 2211, 2214, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2233, 2234, 2236, 2237, 2238, 2239, 2241, 2243, 2249, 2250, 2253, 2254, 2255, 2257, 2261, 2263, 2264, 2265, 2266, 2267, 2271, 2272, 2275, 2278, 2282, 2283, 2285, 2286, 2287, 2288, 2291, 2292, 2293, 2294, 2295, 2298, 2299, 2300, 2301, 2302, 2303, 2306, 2307, 2308], "read_excel": [17, 24, 253, 337, 339, 886, 1431, 2184, 2199, 2217, 2218, 2220, 2221, 2225, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2265, 2271, 2274, 2277, 2278, 2279, 2283, 2285, 2289, 2292, 2294, 2298, 2302], "read_feath": [2199, 2203, 2235, 2238, 2246, 2265, 2271, 2298, 2305], "read_fram": [2217, 2220, 2230], "read_fwf": [1468, 1469, 1470, 1486, 2199, 2218, 2220, 2230, 2232, 2235, 2246, 2260, 2271, 2277, 2283, 2289, 2292, 2294, 2298], "read_gbq": [255, 2199, 2218, 2221, 2228, 2232, 2235, 2241, 2246, 2249, 2265, 2271, 2277, 2294, 2307], "read_hdf": [22, 256, 888, 1479, 2199, 2216, 2217, 2218, 2222, 2227, 2228, 2232, 2235, 2236, 2237, 2238, 2241, 2249, 2265, 2271, 2277, 2283, 2298, 2302, 2307], "read_html": [2, 22, 1373, 1487, 2199, 2217, 2218, 2220, 2221, 2222, 2224, 2228, 2231, 2232, 2235, 2238, 2241, 2249, 2271, 2277, 2289, 2294, 2298, 2302], "read_json": [31, 258, 889, 1487, 2199, 2203, 2217, 2218, 2231, 2232, 2235, 2238, 2239, 2241, 2242, 2249, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307, 2308], "read_low_memori": 2199, "read_msgpack": [2218, 2219, 2226, 2228, 2230, 2231, 2235, 2241, 2249, 2265], "read_onli": 2307, "read_orc": [22, 262, 2199, 2203, 2283, 2298, 2302], "read_parquet": [263, 1479, 2184, 2199, 2205, 2238, 2239, 2265, 2269, 2270, 2277, 2286, 2294, 2298, 2302, 2304, 2305], "read_pickl": [265, 895, 2199, 2218, 2222, 2228, 2235, 2238, 2241, 2249, 2261, 2265, 2267, 2277, 2289], "read_sa": [16, 2199, 2228, 2231, 2232, 2234, 2235, 2238, 2241, 2246, 2271, 2277, 2283, 2289, 2294, 2298, 2307], "read_spss": [2199, 2249, 2274, 2298, 2307], "read_sql": [267, 896, 1353, 1479, 1483, 1484, 2199, 2217, 2220, 2221, 2222, 2228, 2230, 2239, 2247, 2283, 2290, 2297, 2298, 2300, 2302], "read_sql_queri": [1482, 1484, 2199, 2220, 2221, 2238, 2283, 2297, 2298], "read_sql_tabl": [1482, 1483, 2199, 2220, 2222, 2226, 2228, 2238, 2277, 2283, 2297, 2298, 2302], "read_stata": [19, 268, 1438, 1439, 1440, 2199, 2217, 2218, 2220, 2222, 2224, 2225, 2228, 2230, 2232, 2238, 2242, 2246, 2249, 2265, 2271, 2283, 2289, 2294, 2298, 2307], "read_tabl": [16, 17, 19, 63, 1354, 1374, 1469, 2199, 2214, 2218, 2219, 2220, 2221, 2222, 2226, 2229, 2230, 2232, 2235, 2238, 2246, 2249, 2254, 2255, 2257, 2261, 2271, 2274, 2283, 2289, 2294, 2298, 2307], "read_xml": [22, 2199, 2283, 2289, 2298, 2302], "readabl": [0, 34, 144, 1187, 1248, 1289, 1491, 2194, 2195, 2227, 2238, 2246, 2263], "readbuff": [2184, 2199, 2205], "reader": [16, 17, 18, 19, 24, 1345, 1349, 1391, 1437, 1438, 1439, 1485, 1488, 1490, 2199, 2202, 2203, 2205, 2215, 2217, 2221, 2225, 2229, 2230, 2231, 2232, 2235, 2238, 2260, 2261, 2265, 2283, 2298], "readi": [1, 6, 13, 2307], "readlin": 1479, "readonli": [2241, 2250], "readsess": 1473, "readthedoc": [2199, 2307], "real": [24, 34, 35, 144, 1079, 1447, 1459, 1464, 2188, 2192, 2199, 2210, 2249, 2250, 2265, 2289, 2298, 2307], "realign": [230, 804, 1064, 2210], "realiti": 2237, "realiz": 2193, "realli": [2, 17, 532, 1118, 1499, 2187, 2199, 2207, 2226], "reappli": 1, "rearrang": [29, 211, 499, 785, 2241, 2246], "reason": [1, 2, 5, 13, 22, 98, 380, 621, 1031, 1068, 2185, 2186, 2189, 2194, 2195, 2197, 2199, 2206, 2208, 2214, 2277], "reassign": [2190, 2249], "reauth": [255, 1473], "reback": [2215, 2248], "rebuild": [5, 6, 13], "rebuilt": 13, "rec": 266, "recal": 2185, "recalcul": 2289, "recap": 2241, "recarrai": [266, 2217, 2219, 2283], "receiv": [10, 77, 258, 352, 889, 1035, 1068, 1305, 1322, 1474, 1479, 2186, 2197, 2199, 2204, 2220, 2224, 2238, 2241, 2271], "recent": [2, 3, 15, 16, 17, 18, 19, 22, 169, 184, 209, 362, 383, 418, 1000, 1069, 1071, 1072, 1076, 1117, 1118, 1146, 1346, 1352, 1355, 1356, 1359, 1362, 1363, 1365, 1367, 1369, 1370, 1371, 1372, 1373, 1384, 1385, 1421, 1446, 1453, 1459, 1464, 1494, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2197, 2199, 2200, 2201, 2202, 2203, 2205, 2207, 2208, 2210, 2212, 2218, 2219, 2227, 2232, 2235, 2246, 2249, 2265, 2267, 2271, 2272, 2274, 2283, 2294, 2298, 2302, 2307], "recip": [13, 35, 2184, 2199, 2216, 2241], "reciproc": 2241, "reclaim": 2199, "recod": 2188, "recogn": [251, 257, 259, 269, 532, 884, 890, 1031, 1469, 1470, 1475, 1486, 1500, 2167, 2199, 2209, 2211, 2214, 2220, 2222, 2228, 2231, 2238, 2246, 2266, 2267, 2271, 2277, 2283, 2289, 2294, 2298], "recognit": 2307, "recommend": [1, 3, 6, 10, 203, 207, 209, 210, 282, 437, 477, 781, 784, 893, 909, 1031, 1118, 1120, 1143, 1146, 1433, 2167, 2184, 2186, 2190, 2193, 2194, 2197, 2198, 2199, 2205, 2207, 2208, 2210, 2211, 2216, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2245, 2246, 2249, 2261, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "recomput": [2185, 2195], "reconstruct": [9, 10, 1036, 2199, 2277], "record": [18, 63, 131, 205, 207, 252, 258, 266, 267, 778, 781, 889, 896, 1315, 1332, 1443, 1476, 2169, 2180, 2184, 2186, 2197, 2199, 2204, 2214, 2215, 2218, 2223, 2239, 2241, 2246, 2247, 2249, 2277, 2283, 2284, 2285, 2289, 2298, 2302], "record_path": [1443, 2246, 2265, 2271, 2289], "record_prefix": [1443, 2243], "recov": [1476, 2199, 2215], "recreat": [255, 2199, 2217], "rectangl": [69, 109, 129, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275], "rectangular": [28, 188, 189, 764, 765, 2212], "recurs": [98, 121, 188, 189, 195, 197, 621, 696, 764, 765, 770, 1387, 1433, 2199, 2226, 2230, 2238, 2243, 2246, 2265, 2271, 2294, 2305], "recursionerror": [2234, 2241, 2246, 2248, 2278, 2296, 2298, 2307], "red": [2, 5, 15, 188, 189, 195, 197, 251, 401, 402, 413, 434, 478, 485, 488, 764, 765, 770, 884, 1182, 1194, 1241, 1255, 1348, 1395, 1403, 1410, 1413, 1415, 1421, 1422, 1433, 1444, 2197, 2200, 2207, 2219, 2235, 2283], "reda": 35, "redesign": 1487, "redirect": 2220, "redistribut": [34, 2242], "redo": 2188, "redshift": 2199, "reduc": [2, 4, 5, 6, 34, 75, 76, 77, 192, 200, 201, 225, 242, 245, 283, 584, 585, 774, 775, 800, 817, 879, 910, 1041, 1345, 1391, 1432, 1434, 1488, 1490, 2184, 2186, 2192, 2193, 2195, 2199, 2202, 2205, 2209, 2211, 2212, 2218, 2219, 2220, 2224, 2228, 2235, 2241, 2243, 2246, 2261, 2265, 2266, 2273, 2277, 2283, 2289, 2294, 2298, 2302], "reduce_c_funct": [192, 2211], "reduct": [2, 77, 183, 761, 1031, 1041, 1305, 1322, 2188, 2195, 2196, 2198, 2201, 2205, 2210, 2213, 2217, 2218, 2219, 2228, 2229, 2230, 2241, 2246, 2249, 2250, 2255, 2265, 2266, 2269, 2284, 2289, 2294, 2298, 2304], "redund": [633, 2283], "ref": [2, 259, 890, 1433, 2197, 2199, 2203, 2218, 2298], "ref_loc": 2217, "refactor": [2, 259, 890, 2193, 2213, 2220, 2221, 2230, 2235, 2241, 2253, 2254, 2257, 2265, 2278], "refer": [1, 2, 3, 4, 5, 9, 11, 12, 13, 16, 17, 18, 19, 20, 21, 26, 36, 63, 81, 98, 107, 123, 141, 146, 167, 184, 185, 188, 189, 195, 196, 197, 203, 211, 227, 241, 251, 253, 258, 260, 262, 263, 265, 267, 268, 269, 272, 279, 285, 341, 365, 376, 437, 477, 494, 499, 573, 621, 629, 698, 699, 705, 717, 720, 764, 765, 770, 771, 785, 802, 815, 884, 886, 889, 892, 893, 895, 896, 906, 909, 913, 1164, 1221, 1272, 1275, 1280, 1309, 1326, 1342, 1343, 1345, 1363, 1387, 1388, 1390, 1391, 1422, 1431, 1445, 1453, 1454, 1457, 1469, 1470, 1471, 1473, 1475, 1476, 1478, 1479, 1485, 1486, 1487, 1488, 1490, 1498, 2169, 2180, 2184, 2185, 2186, 2190, 2191, 2193, 2195, 2196, 2197, 2199, 2200, 2201, 2205, 2210, 2218, 2220, 2222, 2224, 2225, 2228, 2235, 2238, 2240, 2241, 2246, 2249, 2250, 2265, 2277, 2278, 2294, 2298], "referenc": [3, 16, 17, 19, 81, 203, 2184, 2211, 2218, 2232, 2235, 2241, 2264, 2271, 2289], "refin": [2211, 2225], "reflect": [1, 2, 13, 98, 227, 267, 274, 621, 705, 802, 896, 1148, 1149, 1152, 1203, 1207, 1208, 1211, 1264, 2186, 2195, 2199, 2222, 2223, 2241, 2246, 2271, 2289], "reflectd": 1067, "reflector": 2199, "refresh": 1, "refus": [10, 16, 17, 18, 19, 2199, 2235], "reg": 1443, "regard": [2, 3, 4, 6, 15, 430, 1123, 2186, 2199, 2201, 2210, 2213, 2232, 2238, 2277], "regardless": [10, 99, 107, 364, 622, 629, 1155, 1164, 1213, 1221, 1469, 1470, 1486, 1499, 1741, 2186, 2195, 2199, 2201, 2216, 2218, 2224, 2231, 2234, 2238, 2241, 2246, 2277], "regex": [126, 147, 212, 702, 787, 823, 824, 828, 829, 832, 850, 857, 866, 1107, 1108, 1374, 1468, 1469, 1475, 1486, 1488, 2166, 2199, 2201, 2202, 2208, 2215, 2217, 2219, 2220, 2221, 2228, 2230, 2241, 2248, 2277, 2281, 2283, 2289, 2298, 2307], "regex_matching_test_nam": 2, "regex_pat": [857, 2208], "regexp": [1345, 1391, 1490, 2202], "region": [865, 1142, 1403, 1407, 2207], "regist": [11, 1031, 1068, 1069, 1070, 1071, 1072, 1118, 1345, 1391, 1459, 1464, 1488, 1490, 2194, 2199, 2201, 2202, 2203, 2211, 2214, 2223, 2235, 2238, 2239, 2241, 2246, 2247, 2250, 2261, 2265, 2283, 2294, 2307], "register_convert": [1345, 1391, 1459, 1464, 1488, 1490, 2202, 2211, 2239, 2265], "register_dataframe_accessor": [10, 1071, 1072, 2172, 2241], "register_extension_dtyp": [1068, 1118, 2172, 2246], "register_implement": 2199, "register_index_accessor": [10, 1069, 1072, 2172, 2241], "register_matplotlib_convert": [1459, 2172, 2211, 2239, 2265], "register_series_accessor": [10, 1069, 1071, 2172, 2241], "registr": [2213, 2247, 2265], "registri": [22, 1345, 1391, 1459, 1464, 1488, 1490, 2194, 2199, 2201, 2202, 2203, 2223, 2283, 2294, 2302, 2307], "regner": [1443, 2199], "regress": [2, 11, 2186, 2207, 2213, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2232, 2233, 2234, 2236, 2237, 2238, 2239, 2241, 2246, 2249, 2250, 2251, 2253, 2254, 2256, 2257, 2271, 2277, 2289, 2307], "regular": [0, 1, 2, 12, 13, 32, 126, 152, 192, 212, 326, 490, 514, 516, 540, 590, 680, 702, 787, 823, 824, 827, 828, 829, 831, 832, 850, 857, 862, 866, 867, 1345, 1390, 1391, 1433, 1469, 1475, 1486, 1488, 1490, 1492, 2166, 2185, 2186, 2190, 2197, 2199, 2202, 2206, 2207, 2208, 2209, 2210, 2211, 2217, 2218, 2220, 2222, 2226, 2228, 2230, 2231, 2232, 2234, 2235, 2238, 2239, 2255, 2257, 2261, 2271, 2272, 2277, 2289, 2298], "regularli": 2298, "rehydr": 2230, "reimplement": 2302, "reindex": [74, 79, 110, 125, 160, 208, 213, 214, 228, 573, 583, 591, 633, 701, 718, 738, 782, 788, 1040, 1052, 1064, 1271, 1280, 1355, 2172, 2184, 2191, 2192, 2194, 2196, 2200, 2201, 2210, 2216, 2217, 2218, 2219, 2220, 2222, 2224, 2225, 2226, 2228, 2231, 2232, 2235, 2243, 2246, 2249, 2251, 2257, 2258, 2261, 2263, 2265, 2267, 2268, 2271, 2277, 2283, 2289, 2294, 2298, 2301, 2302, 2307], "reindex_axi": [2218, 2238, 2249, 2257], "reindex_lik": [207, 214, 228, 781, 2185, 2186, 2216, 2218, 2232, 2249, 2265, 2267], "reinterpret": 911, "reintroduc": 2295, "reject": [2199, 2235], "rel": [1, 4, 8, 10, 13, 16, 121, 182, 186, 288, 296, 318, 436, 639, 652, 673, 696, 754, 757, 760, 762, 908, 940, 943, 948, 957, 970, 997, 1146, 1188, 1242, 1243, 1249, 1397, 1398, 1430, 1465, 1491, 1493, 1494, 1495, 1496, 1498, 2184, 2185, 2186, 2199, 2201, 2205, 2206, 2210, 2212, 2220, 2232, 2241, 2249, 2289], "relabel": [1416, 2186, 2231, 2274], "relabel_index": [2207, 2294], "relat": [0, 3, 13, 15, 31, 34, 35, 184, 256, 369, 634, 888, 1453, 1487, 1498, 2172, 2184, 2185, 2186, 2191, 2194, 2196, 2200, 2202, 2204, 2218, 2219, 2220, 2222, 2225, 2230, 2232, 2235, 2253, 2254, 2257, 2278, 2294, 2299], "relationship": [34, 45, 48, 57, 102, 195, 376, 610, 699, 770, 1158, 1388, 2195, 2199, 2238], "relativedelata": 1741, "relativedelta": [127, 157, 703, 732, 1741, 2210], "relax": 2199, "releas": [0, 1, 2, 8, 11, 14, 22, 66, 77, 213, 241, 258, 788, 889, 1491, 2167, 2199, 2210, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2244, 2245, 2246, 2247, 2248, 2249, 2250, 2251, 2252, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, 2310], "relev": [2, 3, 4, 13, 32, 134, 186, 288, 296, 318, 466, 639, 652, 673, 709, 762, 940, 943, 948, 1188, 1249, 1433, 2186, 2188, 2199, 2202, 2207, 2216, 2228, 2241, 2307], "reli": [2, 823, 850, 1053, 1064, 1068, 1415, 1457, 2186, 2188, 2190, 2199, 2207, 2210, 2218, 2232, 2239, 2243, 2246, 2267, 2289, 2294], "reliabl": [2195, 2199, 2221, 2265], "relic": 2214, "reload": 24, "rem": 2186, "remain": [2, 18, 98, 146, 184, 186, 241, 502, 590, 621, 720, 762, 807, 819, 820, 821, 848, 869, 870, 872, 873, 874, 1031, 1179, 1188, 1238, 1249, 1406, 1453, 1493, 1498, 2166, 2186, 2191, 2199, 2200, 2207, 2208, 2210, 2217, 2218, 2222, 2230, 2232, 2235, 2237, 2241, 2246, 2247, 2249, 2271, 2277, 2283, 2294, 2297, 2298, 2302], "remaind": [69, 109, 129, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 1469, 1470, 1486, 2191, 2199], "remedi": 2211, "rememb": [0, 2, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 866, 2199, 2210], "remind": [2217, 2238, 2265], "remot": [1, 5, 6, 1474, 1477, 2230, 2277, 2283, 2302], "remotedataerror": 2224, "remov": [0, 2, 3, 5, 13, 14, 16, 17, 18, 19, 34, 41, 50, 53, 58, 59, 60, 61, 62, 66, 74, 82, 90, 111, 112, 113, 114, 116, 127, 134, 143, 152, 157, 169, 207, 208, 209, 210, 214, 226, 227, 246, 256, 264, 270, 274, 276, 277, 278, 282, 330, 331, 341, 351, 369, 370, 373, 483, 498, 583, 593, 602, 605, 608, 611, 612, 613, 614, 615, 633, 634, 635, 636, 685, 686, 692, 703, 709, 719, 732, 772, 781, 782, 783, 784, 789, 801, 802, 819, 820, 848, 849, 854, 855, 863, 868, 869, 870, 872, 880, 888, 894, 898, 902, 903, 904, 905, 911, 923, 956, 1013, 1014, 1095, 1167, 1170, 1224, 1227, 1277, 1345, 1374, 1390, 1391, 1399, 1446, 1459, 1464, 1475, 1488, 1490, 1500, 1509, 1527, 1545, 1563, 1583, 1604, 1623, 1640, 1662, 1683, 1704, 1725, 1744, 1762, 1779, 1798, 1820, 1843, 1860, 1880, 1898, 1916, 1933, 1950, 1968, 1985, 2003, 2022, 2040, 2058, 2076, 2093, 2111, 2130, 2148, 2184, 2186, 2189, 2192, 2193, 2197, 2199, 2201, 2202, 2205, 2208, 2210, 2213, 2214, 2216, 2217, 2218, 2220, 2221, 2226, 2227, 2229, 2231, 2239, 2247, 2250, 2253, 2255, 2257, 2263, 2271, 2273, 2277, 2278, 2289, 2294, 2295, 2302, 2307, 2308], "remove_categori": [41, 50, 53, 59, 60, 61, 62, 604, 605, 608, 612, 613, 614, 615, 2188, 2227, 2265, 2283, 2298, 2302], "remove_unused_categori": [41, 50, 53, 58, 60, 61, 62, 604, 605, 608, 611, 613, 614, 615, 2188, 2229, 2232, 2277, 2298], "remove_unused_level": [440, 2185, 2235, 2236, 2241], "removedin20warn": 2297, "removeprefix": [855, 2208, 2289], "removesuffix": [854, 2208, 2289], "renam": [15, 27, 31, 41, 50, 53, 58, 59, 60, 61, 62, 72, 73, 152, 162, 210, 214, 266, 421, 605, 608, 611, 612, 613, 614, 615, 750, 784, 1314, 1331, 1382, 1394, 1396, 1414, 1487, 2184, 2190, 2191, 2192, 2195, 2197, 2205, 2207, 2218, 2220, 2222, 2231, 2232, 2239, 2241, 2249, 2250, 2253, 2257, 2261, 2271, 2283, 2294, 2298, 2300, 2302, 2307], "rename_axi": [113, 209, 226, 635, 783, 801, 2185, 2186, 2230, 2231, 2238, 2246, 2247, 2249, 2254, 2298], "rename_categori": [41, 50, 53, 58, 59, 61, 62, 604, 605, 608, 611, 612, 614, 615, 2184, 2188, 2199, 2222, 2232, 2241, 2249, 2283, 2294, 2298, 2307], "render": [3, 4, 250, 257, 259, 269, 272, 883, 890, 897, 1345, 1391, 1394, 1400, 1422, 1423, 1432, 1433, 1434, 1459, 1463, 1464, 1488, 1490, 1498, 2186, 2199, 2202, 2207, 2228, 2229, 2230, 2232, 2235, 2236, 2241, 2243, 2271, 2277, 2283, 2289, 2291, 2294, 2307], "render_link": [257, 2199, 2246], "reorder": [41, 50, 53, 58, 59, 60, 61, 62, 211, 605, 608, 611, 612, 613, 614, 615, 2184, 2186, 2220, 2222, 2224, 2279, 2294, 2298], "reorder_categori": [41, 50, 53, 58, 59, 60, 62, 604, 605, 608, 611, 612, 613, 615, 2188, 2283, 2287, 2298], "reorder_level": 2257, "reorgan": [241, 2213], "reorient": 65, "rep": [15, 2199, 2235, 2246], "repack": 2199, "repeat": [3, 5, 152, 167, 168, 195, 214, 268, 770, 824, 1345, 1391, 1433, 1445, 1487, 1488, 1490, 2036, 2054, 2167, 2186, 2188, 2191, 2192, 2193, 2199, 2202, 2205, 2208, 2211, 2218, 2222, 2226, 2232, 2235, 2239, 2241, 2246, 2249, 2267, 2286, 2294, 2298], "repeatedli": [2, 2199, 2220, 2246, 2283], "repetit": [2, 419, 786, 1060, 2211], "repl": [857, 865, 2199, 2208], "replac": [0, 2, 3, 6, 13, 18, 32, 39, 49, 60, 78, 92, 114, 125, 162, 163, 185, 203, 223, 228, 241, 255, 267, 279, 280, 284, 322, 341, 345, 428, 439, 562, 603, 613, 616, 636, 677, 701, 740, 741, 798, 818, 823, 849, 863, 864, 865, 868, 873, 896, 906, 912, 923, 953, 1031, 1166, 1167, 1194, 1223, 1255, 1272, 1275, 1286, 1345, 1391, 1394, 1397, 1403, 1404, 1405, 1421, 1430, 1433, 1454, 1457, 1469, 1485, 1486, 1487, 1488, 1490, 1741, 2186, 2188, 2190, 2191, 2195, 2196, 2197, 2198, 2199, 2202, 2204, 2210, 2214, 2217, 2218, 2219, 2220, 2221, 2222, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2234, 2235, 2238, 2241, 2242, 2243, 2246, 2248, 2249, 2250, 2261, 2264, 2265, 2267, 2269, 2270, 2271, 2272, 2273, 2274, 2277, 2278, 2281, 2282, 2283, 2289, 2291, 2292, 2295, 2296, 2298, 2302, 2304, 2307], "replace_whitespac": 873, "replacement0": 603, "replacement1": 603, "replic": [16, 17, 19, 123, 2207, 2215, 2216, 2226, 2228, 2230, 2249, 2307], "repo": [1, 2, 5, 13, 35, 2207, 2235], "report": [0, 2, 5, 11, 13, 14, 337, 1491, 2172, 2185, 2193, 2194, 2197, 2199, 2207, 2218, 2223, 2224, 2225, 2231, 2234, 2235, 2246, 2277, 2278, 2289, 2309, 2310], "repositori": [1, 2, 5, 8, 13, 35, 36], "repr": [269, 857, 897, 1031, 1035, 1345, 1391, 1488, 1490, 2185, 2202, 2207, 2209, 2213, 2219, 2220, 2221, 2222, 2227, 2228, 2229, 2230, 2232, 2235, 2238, 2239, 2241, 2246, 2247, 2250, 2263, 2267, 2271, 2278, 2281, 2294, 2298, 2302], "repres": [3, 12, 13, 16, 17, 19, 23, 24, 28, 31, 32, 34, 39, 46, 79, 86, 97, 102, 174, 188, 189, 197, 211, 213, 225, 229, 231, 242, 251, 252, 256, 259, 283, 286, 302, 321, 437, 445, 477, 494, 498, 499, 504, 510, 540, 568, 573, 591, 599, 620, 624, 764, 765, 785, 788, 800, 817, 821, 836, 837, 838, 839, 840, 841, 842, 843, 844, 884, 888, 890, 893, 909, 910, 916, 938, 944, 953, 984, 993, 1019, 1024, 1118, 1121, 1123, 1124, 1141, 1158, 1192, 1215, 1253, 1308, 1316, 1318, 1320, 1323, 1325, 1333, 1335, 1337, 1342, 1343, 1371, 1372, 1389, 1463, 1467, 1469, 1473, 1475, 1485, 1486, 1489, 1498, 1500, 1506, 1508, 1519, 1524, 1526, 1537, 1542, 1544, 1556, 1560, 1562, 1574, 1578, 1581, 1593, 1598, 1602, 1614, 1620, 1622, 1633, 1637, 1639, 1650, 1657, 1660, 1672, 1677, 1681, 1693, 1699, 1702, 1715, 1720, 1723, 1736, 1741, 1743, 1754, 1758, 1761, 1772, 1776, 1778, 1789, 1793, 1795, 1808, 1815, 1817, 1830, 1839, 1842, 1853, 1857, 1859, 1870, 1876, 1879, 1890, 1894, 1897, 1908, 1912, 1915, 1926, 1930, 1932, 1943, 1947, 1949, 1960, 1964, 1967, 1978, 1982, 1984, 1995, 2000, 2002, 2013, 2018, 2021, 2032, 2036, 2039, 2050, 2054, 2057, 2068, 2075, 2086, 2090, 2092, 2103, 2108, 2110, 2121, 2127, 2129, 2141, 2145, 2147, 2159, 2167, 2175, 2184, 2185, 2186, 2188, 2191, 2194, 2195, 2196, 2198, 2199, 2201, 2204, 2205, 2207, 2209, 2211, 2217, 2220, 2221, 2223, 2226, 2228, 2230, 2232, 2235, 2241, 2246, 2249, 2260, 2261, 2265, 2271, 2283, 2286, 2294, 2298, 2302, 2307], "represent": [3, 16, 19, 29, 137, 144, 191, 193, 194, 196, 213, 243, 250, 251, 253, 257, 259, 268, 269, 272, 282, 346, 376, 486, 521, 532, 533, 682, 699, 767, 768, 769, 771, 788, 821, 883, 884, 885, 886, 887, 890, 897, 911, 917, 918, 1064, 1118, 1173, 1345, 1372, 1388, 1391, 1394, 1395, 1396, 1403, 1404, 1413, 1414, 1431, 1485, 1488, 1489, 1490, 1657, 1677, 1699, 1720, 2184, 2185, 2186, 2188, 2191, 2193, 2196, 2199, 2202, 2204, 2206, 2207, 2208, 2209, 2213, 2214, 2215, 2218, 2219, 2220, 2222, 2225, 2227, 2228, 2232, 2235, 2238, 2246, 2249, 2258, 2261, 2271, 2275, 2277, 2283, 2289, 2292, 2294, 2307], "representaton": 954, "reproduc": [2, 13, 15, 16, 17, 18, 19, 34, 223, 251, 258, 265, 268, 272, 798, 884, 889, 895, 1194, 1255, 1457, 2184, 2185, 2186, 2188, 2191, 2192, 2193, 2194, 2197, 2199, 2200, 2201, 2202, 2203, 2205, 2207, 2208, 2210, 2212, 2214, 2222, 2225, 2232, 2235, 2246, 2249, 2265, 2283, 2294, 2298, 2302, 2307], "reptil": 211, "req": [16, 17, 18, 19, 2199, 2210, 2235], "req_info": [16, 17, 18, 19, 2199, 2235], "request": [0, 2, 4, 6, 10, 11, 16, 17, 18, 19, 22, 24, 76, 113, 139, 140, 141, 155, 156, 164, 165, 166, 170, 200, 201, 202, 225, 232, 242, 245, 251, 253, 258, 260, 263, 265, 266, 268, 272, 283, 321, 334, 341, 370, 381, 382, 383, 466, 483, 490, 492, 502, 585, 635, 715, 716, 717, 730, 731, 735, 742, 743, 744, 746, 774, 775, 800, 806, 817, 879, 884, 886, 889, 892, 895, 910, 1077, 1174, 1175, 1198, 1202, 1231, 1232, 1259, 1263, 1366, 1374, 1431, 1469, 1470, 1471, 1475, 1476, 1478, 1479, 1485, 1486, 1487, 2197, 2199, 2205, 2208, 2215, 2216, 2218, 2220, 2222, 2223, 2230, 2232, 2235, 2246, 2271, 2277, 2283, 2298, 2302], "requir": [1, 2, 3, 5, 7, 8, 9, 10, 13, 15, 24, 25, 29, 31, 32, 34, 74, 99, 102, 114, 121, 122, 146, 200, 201, 212, 218, 245, 250, 254, 255, 259, 260, 261, 262, 263, 267, 272, 274, 356, 357, 364, 420, 510, 583, 590, 622, 624, 696, 697, 720, 774, 775, 787, 793, 799, 850, 879, 883, 890, 892, 893, 896, 917, 954, 1031, 1041, 1068, 1076, 1118, 1141, 1145, 1155, 1158, 1169, 1177, 1178, 1181, 1189, 1193, 1200, 1203, 1213, 1215, 1226, 1236, 1237, 1240, 1250, 1254, 1261, 1264, 1276, 1280, 1281, 1290, 1295, 1309, 1316, 1317, 1318, 1320, 1326, 1333, 1334, 1335, 1337, 1342, 1397, 1416, 1419, 1423, 1430, 1433, 1473, 1487, 1498, 2184, 2186, 2190, 2192, 2193, 2195, 2199, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2210, 2211, 2212, 2214, 2217, 2218, 2220, 2222, 2224, 2225, 2226, 2228, 2232, 2235, 2238, 2239, 2240, 2241, 2246, 2249, 2257, 2261, 2265, 2271, 2275, 2277, 2279, 2283, 2284, 2289, 2290, 2294, 2298, 2307, 2308], "requisit": 2235, "rerais": [2197, 2218], "reread": 1474, "res_col": 2302, "res_index": 2194, "res_nam": 2186, "res_valu": 2298, "resampl": [16, 72, 73, 79, 134, 345, 511, 591, 709, 1147, 1157, 1170, 1171, 1176, 1180, 1185, 1187, 1195, 1197, 1206, 1214, 1227, 1228, 1233, 1239, 1245, 1246, 1248, 1256, 1258, 2172, 2184, 2186, 2196, 2214, 2215, 2218, 2219, 2220, 2221, 2222, 2224, 2225, 2226, 2227, 2228, 2232, 2234, 2242, 2243, 2245, 2248, 2261, 2264, 2268, 2275, 2279, 2286, 2288, 2292, 2299, 2304, 2308], "rescal": 2211, "research": [34, 2191], "reserv": [2, 34, 2194, 2199, 2216], "reset": [10, 13, 79, 214, 591, 789, 1146, 1399, 1488, 2196, 2200, 2202, 2210, 2214, 2215, 2217, 2221, 2222, 2225, 2227, 2228, 2231, 2232, 2238, 2241, 2265, 2271, 2277, 2283, 2289, 2295, 2298, 2299], "reset_index": [29, 30, 207, 208, 228, 781, 782, 2166, 2185, 2190, 2195, 2197, 2199, 2200, 2221, 2222, 2228, 2232, 2235, 2236, 2242, 2246, 2257, 2263, 2271, 2272, 2277, 2283, 2289, 2293, 2294, 2298, 2306], "reset_opt": [1490, 2202, 2214], "reset_printopt": [2214, 2218], "reshap": [17, 20, 21, 31, 33, 34, 35, 100, 111, 163, 167, 184, 241, 284, 440, 741, 912, 1156, 1342, 1411, 1444, 1445, 1453, 2172, 2185, 2195, 2196, 2197, 2198, 2200, 2201, 2211, 2218, 2220, 2222, 2230, 2232, 2242, 2247, 2248, 2255], "reshape2": 20, "resid": [2, 2199], "residu": [2186, 2227], "resiz": [2220, 2222], "resolut": [146, 287, 681, 720, 919, 922, 929, 932, 939, 941, 957, 970, 997, 1280, 1344, 1497, 2197, 2199, 2209, 2210, 2222, 2227, 2230, 2235, 2246, 2249, 2261, 2265, 2266, 2271, 2294, 2295, 2299, 2300, 2302, 2304, 2307], "resolution_str": [2249, 2265, 2307], "resolv": [1, 2, 4, 46, 176, 179, 1387, 2192, 2194, 2232, 2239, 2241, 2263, 2265, 2289], "resort": 2, "resourc": [1, 2, 35, 144, 2199, 2277], "resp": [1344, 2208, 2283], "respect": [0, 2, 10, 17, 19, 23, 26, 27, 28, 29, 30, 31, 39, 62, 79, 91, 97, 119, 125, 146, 169, 212, 251, 258, 265, 268, 272, 341, 502, 591, 615, 620, 695, 701, 720, 787, 815, 862, 866, 884, 889, 895, 1146, 1148, 1149, 1150, 1151, 1203, 1207, 1208, 1209, 1210, 1264, 1328, 1343, 1345, 1387, 1391, 1419, 1421, 1446, 1447, 1448, 1458, 1465, 1469, 1476, 1479, 1480, 1485, 1486, 1487, 1488, 1490, 1494, 1497, 2171, 2184, 2186, 2191, 2195, 2199, 2200, 2202, 2204, 2208, 2210, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2225, 2228, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2241, 2246, 2249, 2254, 2255, 2257, 2265, 2271, 2273, 2275, 2277, 2281, 2283, 2289, 2290, 2294, 2298, 2299, 2302, 2303, 2306, 2307, 2308], "respond": [13, 2226], "respons": [1, 10, 13, 16, 17, 18, 19, 267, 896, 1042, 1482, 1498, 2199, 2223, 2228, 2231, 2235, 2290], "response_tim": [207, 781], "rest": [3, 4, 745, 865, 1473, 2184, 2199, 2208, 2218, 2220, 2222, 2230, 2238, 2246, 2249], "restart": [1, 6], "restor": [19, 1345, 1391, 1459, 1488, 1490, 2202, 2213, 2225, 2226, 2229, 2232, 2240, 2241, 2242, 2247, 2249, 2271, 2278, 2283, 2295], "restored_bar": 1478, "restored_df": 1478, "restored_part": 1478, "restrict": [10, 27, 89, 124, 146, 601, 700, 720, 1280, 1395, 1413, 2186, 2193, 2199, 2201, 2238, 2241, 2249, 2261], "restructur": [6, 29, 2298], "restructuredtext": [3, 4], "result": [2, 3, 9, 10, 13, 16, 17, 18, 19, 23, 25, 26, 27, 28, 29, 30, 31, 32, 34, 39, 44, 49, 56, 62, 63, 65, 69, 72, 73, 75, 76, 77, 79, 91, 94, 95, 96, 97, 99, 100, 102, 103, 104, 105, 106, 107, 108, 109, 110, 112, 114, 115, 118, 120, 121, 122, 123, 129, 130, 131, 132, 134, 135, 137, 139, 140, 147, 153, 155, 156, 159, 161, 164, 165, 166, 169, 170, 171, 172, 173, 175, 184, 185, 191, 192, 193, 194, 199, 200, 201, 203, 204, 206, 213, 215, 216, 217, 218, 220, 221, 222, 223, 225, 230, 232, 233, 234, 237, 238, 240, 241, 242, 244, 245, 251, 252, 253, 257, 258, 259, 261, 263, 266, 267, 269, 270, 272, 273, 274, 275, 279, 280, 281, 282, 283, 321, 325, 328, 345, 359, 360, 367, 370, 373, 376, 389, 402, 404, 406, 408, 413, 417, 420, 429, 431, 433, 434, 436, 445, 462, 463, 464, 483, 490, 492, 498, 502, 573, 575, 578, 584, 585, 586, 587, 588, 589, 591, 615, 617, 618, 619, 620, 622, 624, 625, 626, 627, 628, 629, 630, 631, 634, 636, 692, 694, 696, 697, 698, 699, 706, 707, 709, 710, 715, 716, 730, 731, 734, 739, 742, 743, 744, 746, 747, 749, 753, 754, 757, 767, 768, 769, 773, 774, 775, 777, 780, 788, 790, 791, 792, 793, 795, 796, 797, 798, 799, 800, 804, 806, 807, 808, 816, 817, 821, 822, 823, 828, 829, 845, 847, 852, 860, 874, 877, 878, 879, 884, 886, 889, 890, 893, 896, 898, 900, 901, 906, 908, 910, 916, 950, 952, 953, 1034, 1041, 1044, 1061, 1064, 1078, 1117, 1145, 1146, 1148, 1149, 1152, 1155, 1156, 1158, 1164, 1167, 1169, 1173, 1174, 1175, 1177, 1178, 1180, 1181, 1185, 1187, 1189, 1192, 1193, 1194, 1195, 1198, 1199, 1200, 1202, 1203, 1204, 1205, 1207, 1208, 1211, 1213, 1215, 1221, 1224, 1226, 1231, 1232, 1236, 1237, 1239, 1240, 1242, 1243, 1246, 1248, 1250, 1253, 1254, 1255, 1256, 1259, 1260, 1261, 1264, 1267, 1269, 1270, 1276, 1280, 1281, 1284, 1288, 1289, 1290, 1292, 1295, 1306, 1323, 1343, 1344, 1345, 1350, 1388, 1390, 1391, 1393, 1395, 1396, 1407, 1413, 1414, 1415, 1423, 1431, 1432, 1433, 1434, 1441, 1442, 1443, 1446, 1449, 1450, 1452, 1453, 1454, 1458, 1467, 1468, 1469, 1470, 1471, 1472, 1473, 1475, 1476, 1477, 1478, 1481, 1482, 1483, 1484, 1486, 1487, 1488, 1490, 1497, 1499, 1657, 1741, 2054, 2166, 2172, 2184, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2235, 2236, 2238, 2240, 2241, 2242, 2243, 2246, 2247, 2248, 2249, 2250, 2252, 2253, 2255, 2257, 2261, 2263, 2264, 2267, 2272, 2274, 2275, 2276, 2277, 2278, 2279, 2281, 2284, 2286, 2287, 2288, 2292, 2294, 2295, 2297, 2301, 2302, 2304, 2306, 2307, 2308], "result_1": 509, "result_a": 509, "result_block": [2199, 2298], "result_dtyp": 2208, "result_from": 2212, "result_index": 2307, "result_kwarg": 2212, "result_nam": [96, 429, 619, 2294], "result_typ": [77, 2186, 2194, 2207, 2241, 2273], "ret": [1499, 1501], "ret_": 2188, "ret_cat": 2188, "retail": [1793, 1815, 2210], "retain": [10, 34, 77, 167, 200, 201, 213, 225, 242, 245, 283, 575, 681, 774, 775, 788, 800, 817, 879, 910, 1387, 1406, 1445, 1485, 2185, 2199, 2210, 2217, 2222, 2224, 2226, 2228, 2232, 2241, 2242, 2243, 2246, 2249, 2271, 2276, 2283, 2289, 2294, 2298, 2302, 2307], "retbin": [1343, 1467, 2223, 2246], "retriev": [15, 17, 179, 282, 285, 347, 352, 913, 1391, 1474, 1487, 2185, 2199, 2203, 2208, 2209, 2215, 2217, 2218, 2229, 2235, 2253, 2257, 2271, 2283, 2302], "return": [2, 4, 10, 13, 15, 16, 17, 18, 19, 23, 24, 25, 28, 30, 31, 32, 37, 40, 42, 44, 50, 51, 52, 54, 55, 56, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 86, 87, 88, 89, 90, 91, 92, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 139, 140, 141, 142, 143, 144, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 251, 252, 257, 258, 259, 260, 261, 262, 263, 264, 266, 267, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 291, 292, 294, 296, 298, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 314, 316, 318, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 339, 342, 345, 347, 348, 349, 350, 352, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 411, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 429, 430, 431, 432, 433, 434, 435, 436, 437, 439, 447, 448, 449, 451, 452, 453, 454, 455, 461, 462, 463, 464, 465, 466, 467, 468, 469, 473, 475, 476, 477, 479, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 498, 499, 500, 501, 502, 503, 504, 505, 506, 511, 512, 513, 514, 515, 516, 517, 518, 519, 521, 522, 523, 524, 525, 526, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 541, 549, 551, 561, 562, 563, 569, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 595, 597, 598, 599, 600, 601, 602, 603, 605, 606, 607, 609, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 639, 640, 641, 643, 644, 646, 651, 652, 655, 656, 657, 658, 659, 660, 661, 662, 667, 670, 673, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 688, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 706, 707, 708, 709, 710, 711, 712, 713, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 812, 815, 816, 817, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 884, 885, 887, 889, 890, 891, 892, 893, 894, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 908, 909, 910, 911, 912, 913, 917, 918, 919, 920, 921, 922, 923, 927, 929, 930, 931, 932, 933, 938, 939, 940, 941, 943, 944, 945, 948, 950, 951, 952, 954, 955, 956, 957, 959, 960, 962, 963, 964, 965, 966, 967, 968, 969, 970, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 990, 993, 994, 995, 997, 999, 1001, 1002, 1003, 1004, 1005, 1007, 1008, 1010, 1011, 1013, 1014, 1016, 1018, 1019, 1020, 1021, 1023, 1024, 1025, 1031, 1032, 1033, 1034, 1035, 1037, 1038, 1039, 1040, 1041, 1042, 1043, 1044, 1045, 1046, 1047, 1049, 1050, 1051, 1052, 1053, 1055, 1056, 1059, 1060, 1061, 1062, 1063, 1064, 1065, 1066, 1067, 1068, 1069, 1070, 1071, 1072, 1073, 1076, 1077, 1078, 1079, 1080, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1092, 1093, 1094, 1095, 1096, 1097, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1121, 1123, 1124, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1143, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1172, 1173, 1174, 1175, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1229, 1230, 1231, 1232, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1276, 1277, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1369, 1387, 1388, 1389, 1390, 1391, 1392, 1393, 1394, 1395, 1396, 1397, 1398, 1399, 1400, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1430, 1432, 1433, 1434, 1435, 1436, 1437, 1438, 1439, 1441, 1442, 1443, 1444, 1445, 1446, 1447, 1448, 1449, 1450, 1452, 1453, 1454, 1455, 1456, 1457, 1458, 1460, 1461, 1463, 1465, 1466, 1467, 1468, 1469, 1470, 1471, 1472, 1473, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1489, 1490, 1497, 1498, 1499, 1500, 1501, 1502, 1507, 1508, 1509, 1510, 1511, 1512, 1513, 1514, 1515, 1516, 1517, 1519, 1525, 1526, 1527, 1528, 1529, 1530, 1531, 1532, 1533, 1534, 1535, 1537, 1543, 1544, 1545, 1546, 1547, 1548, 1549, 1550, 1551, 1552, 1553, 1556, 1561, 1562, 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1571, 1574, 1580, 1581, 1583, 1584, 1585, 1586, 1587, 1588, 1589, 1590, 1591, 1593, 1600, 1602, 1604, 1605, 1606, 1607, 1608, 1609, 1610, 1611, 1612, 1614, 1621, 1622, 1623, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1631, 1633, 1638, 1639, 1640, 1641, 1642, 1643, 1644, 1645, 1646, 1647, 1648, 1650, 1657, 1659, 1660, 1662, 1663, 1664, 1665, 1666, 1667, 1668, 1669, 1670, 1672, 1677, 1679, 1681, 1683, 1684, 1685, 1686, 1687, 1688, 1689, 1690, 1691, 1693, 1699, 1701, 1702, 1704, 1705, 1706, 1707, 1708, 1709, 1710, 1711, 1712, 1715, 1720, 1722, 1723, 1725, 1726, 1727, 1728, 1729, 1730, 1731, 1732, 1733, 1736, 1741, 1742, 1743, 1744, 1745, 1746, 1747, 1748, 1749, 1750, 1751, 1752, 1754, 1759, 1761, 1762, 1763, 1764, 1765, 1766, 1767, 1768, 1769, 1770, 1772, 1773, 1777, 1778, 1779, 1780, 1781, 1782, 1783, 1784, 1785, 1786, 1787, 1789, 1794, 1795, 1798, 1799, 1800, 1801, 1802, 1803, 1804, 1805, 1806, 1808, 1816, 1817, 1820, 1821, 1822, 1823, 1824, 1825, 1826, 1827, 1828, 1830, 1840, 1842, 1843, 1844, 1845, 1846, 1847, 1848, 1849, 1850, 1851, 1853, 1854, 1858, 1859, 1860, 1861, 1862, 1863, 1864, 1865, 1866, 1867, 1868, 1870, 1877, 1879, 1880, 1881, 1882, 1883, 1884, 1885, 1886, 1887, 1888, 1890, 1891, 1895, 1897, 1898, 1899, 1900, 1901, 1902, 1903, 1904, 1905, 1906, 1908, 1909, 1913, 1915, 1916, 1917, 1918, 1919, 1920, 1921, 1922, 1923, 1924, 1926, 1927, 1931, 1932, 1933, 1934, 1935, 1936, 1937, 1938, 1939, 1940, 1941, 1943, 1948, 1949, 1950, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1960, 1965, 1967, 1968, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1976, 1978, 1979, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1995, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2013, 2019, 2021, 2022, 2023, 2024, 2025, 2026, 2027, 2028, 2029, 2030, 2032, 2033, 2037, 2039, 2040, 2041, 2042, 2043, 2044, 2045, 2046, 2047, 2048, 2050, 2055, 2057, 2058, 2059, 2060, 2061, 2062, 2063, 2064, 2065, 2066, 2068, 2073, 2075, 2076, 2077, 2078, 2079, 2080, 2081, 2082, 2083, 2084, 2086, 2087, 2091, 2092, 2093, 2094, 2095, 2096, 2097, 2098, 2099, 2100, 2101, 2103, 2109, 2110, 2111, 2112, 2113, 2114, 2115, 2116, 2117, 2118, 2119, 2121, 2128, 2129, 2130, 2131, 2132, 2133, 2134, 2135, 2136, 2137, 2138, 2141, 2146, 2147, 2148, 2149, 2150, 2151, 2152, 2153, 2154, 2155, 2156, 2159, 2163, 2164, 2165, 2166, 2167, 2171, 2179, 2180, 2181, 2183, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2196, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2236, 2237, 2239, 2240, 2241, 2242, 2243, 2247, 2248, 2250, 2254, 2260, 2264, 2266, 2267, 2269, 2271, 2273, 2274, 2275, 2276, 2277, 2278, 2281, 2284, 2285, 2287, 2288, 2289, 2292, 2293, 2294, 2295, 2296, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308], "return_index": [404, 427], "return_typ": [91, 1458, 2195, 2211, 2220, 2226, 2232], "retval": 2185, "retyp": 2199, "reus": [2, 325, 328, 431, 433, 950, 952, 2188, 2195, 2199, 2200, 2257, 2307], "rev": 32, "revamp": [2217, 2228, 2261], "revenu": [118, 132, 135, 159, 161, 175, 2195, 2238], "revers": [29, 69, 109, 129, 171, 173, 176, 179, 186, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 578, 631, 706, 747, 749, 754, 757, 762, 773, 857, 878, 901, 1159, 1182, 1188, 1216, 1241, 1242, 1243, 1249, 2199, 2208, 2209, 2220, 2232, 2235, 2236, 2249, 2265, 2297], "reversed_df": 2212, "revert": [2193, 2202, 2215, 2217, 2218, 2238, 2239, 2240, 2241, 2242, 2260, 2274, 2277, 2278, 2283, 2289, 2290, 2292, 2296, 2297, 2303, 2304], "review": [1, 2, 4, 11, 26, 2199, 2219, 2257], "revis": [258, 889, 1436, 1776, 2199, 2222, 2226, 2283], "revisit": 2260, "revolv": 15, "rewind": 2241, "rework": 2218, "rewrit": [253, 886, 1431, 2199], "rewritten": [2190, 2214, 2217, 2227], "rewrot": 2241, "rfind": [830, 859, 2208, 2225], "rfloordiv": [129, 706], "rgb": [3, 188, 189, 195, 197, 764, 765, 770, 1433, 1455, 2207, 2237], "rgba": [188, 189, 195, 197, 764, 765, 770, 1433, 2237], "rh": [2218, 2219, 2220, 2222, 2232], "rhdf5": 2225, "rhel": 5, "rich": [10, 2210, 2230, 2249], "richer": 2, "rick": [1443, 2199], "rid": [2194, 2201, 2203, 2294, 2302, 2307], "ride": 2199, "right": [0, 3, 5, 6, 13, 15, 16, 17, 19, 21, 30, 34, 74, 88, 96, 119, 121, 136, 137, 153, 169, 186, 213, 218, 257, 269, 286, 345, 383, 395, 404, 420, 437, 445, 446, 447, 448, 449, 450, 451, 453, 454, 459, 460, 461, 462, 463, 464, 467, 468, 469, 473, 475, 476, 477, 583, 599, 600, 695, 696, 712, 713, 762, 788, 793, 799, 821, 822, 830, 835, 847, 852, 858, 859, 862, 863, 865, 866, 868, 873, 874, 1036, 1061, 1064, 1099, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1136, 1138, 1139, 1145, 1173, 1188, 1192, 1193, 1230, 1249, 1253, 1254, 1343, 1344, 1345, 1365, 1391, 1393, 1398, 1407, 1411, 1415, 1418, 1433, 1446, 1447, 1448, 1452, 1467, 1488, 1490, 1493, 1494, 1495, 1496, 1497, 1776, 2166, 2184, 2185, 2186, 2187, 2188, 2193, 2199, 2200, 2202, 2204, 2207, 2208, 2210, 2211, 2212, 2214, 2218, 2220, 2222, 2226, 2228, 2229, 2231, 2232, 2235, 2238, 2239, 2241, 2246, 2248, 2249, 2260, 2265, 2272, 2277, 2280, 2283, 2286, 2289, 2290, 2294, 2298, 2302, 2307, 2309], "right2": 2200, "right_ax": [2211, 2226], "right_bi": [1447, 1448, 2234, 2277], "right_df": [2200, 2271], "right_index": [18, 169, 404, 1446, 1447, 2200, 2234, 2235, 2241, 2272, 2283, 2302], "right_join": [16, 17, 19], "right_on": [30, 169, 1446, 1447, 1448, 2200, 2241, 2265, 2283, 2298], "right_onli": [169, 1446, 2200, 2228], "right_uniqu": 2200, "right_val": [1447, 2232], "rightindex": 2200, "rightmost": [253, 383, 886, 1343, 1431, 2199], "rightward": 1398, "rindex": [835, 2208, 2226], "rise": [2246, 2249, 2289], "risk": 2199, "riski": [1469, 1486, 1498], "riskiest": 2257, "river": [853, 861], "rjust": [822, 847, 852, 874, 2208, 2225, 2232], "rkei": [169, 1446], "rl": 13, "rle": 2294, "rm": [5, 8, 15], "rmod": [171, 747], "rmul": [173, 749], "rn": 18, "rng": [213, 288, 296, 318, 322, 345, 562, 639, 652, 673, 677, 788, 940, 943, 948, 2184, 2186, 2210, 2221, 2261, 2271], "rng2": 2210, "rng_asarrai": 2261, "rng_berlin": 2210, "rng_dateutil": 2210, "rng_eastern": 2210, "rng_hourli": 2210, "rng_pytz": 2210, "rng_tz": [288, 296, 318, 639, 652, 673, 940, 943, 948], "rng_utc": 2210, "rnk": 18, "rnk_min": 18, "rnorm": 15, "rnormal": 19, "roadmap": 0, "robeco": 2220, "robust": [34, 2197, 2199, 2214, 2261], "robustifi": 1433, "roeschk": 2248, "role": [11, 2192, 2218], "roll": [72, 73, 102, 121, 122, 193, 202, 267, 696, 697, 768, 776, 896, 1073, 1074, 1075, 1158, 1178, 1181, 1200, 1237, 1240, 1261, 1305, 1309, 1317, 1318, 1320, 1352, 1741, 2172, 2186, 2193, 2195, 2196, 2210, 2211, 2218, 2219, 2220, 2229, 2230, 2231, 2237, 2242, 2245, 2262, 2267, 2269, 2272, 2273, 2276, 2278, 2279, 2285, 2287, 2290, 2291, 2292, 2304], "roll_quantil": 2245, "rollback": [1620, 1741, 1930, 2127, 2210, 2221, 2222, 2241], "rollforward": [1637, 1741, 1947, 2054, 2145, 2210, 2221, 2222, 2241], "rolling_": [2222, 2228, 2230, 2241, 2263], "rolling_appli": [2220, 2222], "rolling_cor": 2222, "rolling_corr": [2220, 2221, 2222, 2256], "rolling_corr_pairwis": [2222, 2230, 2256], "rolling_count": 2222, "rolling_cov": [2220, 2221, 2222, 2230, 2256], "rolling_kurt": [2222, 2229], "rolling_max": [2220, 2222, 2229], "rolling_mean": [2222, 2229, 2230], "rolling_median": [2222, 2229, 2230, 2257], "rolling_min": [2220, 2222, 2229], "rolling_quantil": 2222, "rolling_skew": [2222, 2229], "rolling_std": 2222, "rolling_sum": [2220, 2222], "rolling_var": [2220, 2221, 2222, 2229], "rolling_window": 2222, "rollingandexpandingmixin": 2212, "rollinggroupbi": [1193, 1254, 2231, 2246, 2267, 2271, 2275, 2277, 2283, 2288], "rollov": 2235, "rollworward": 2210, "roman": [2207, 2247], "root": [2, 5, 8, 254, 262, 263, 272, 1487, 2199, 2202], "root_nam": [272, 2199], "rootdir": 22, "rot": [31, 91, 186, 188, 762, 764, 1154, 1188, 1249, 1458, 2211, 2221, 2222], "rotat": [91, 137, 186, 713, 762, 1154, 1173, 1188, 1230, 1249, 1458, 2277], "rotatebox": 1433, "roth": 32, "roughli": [163, 284, 741, 912, 1055, 2197, 2199, 2250], "round": [15, 99, 155, 156, 162, 225, 288, 296, 316, 322, 562, 622, 639, 652, 670, 677, 730, 731, 800, 917, 940, 943, 954, 957, 970, 1155, 1213, 1334, 1394, 1469, 1486, 1498, 1741, 2195, 2199, 2202, 2203, 2209, 2210, 2211, 2228, 2229, 2231, 2232, 2234, 2235, 2238, 2242, 2243, 2246, 2249, 2265, 2271, 2283, 2294, 2298, 2299, 2302, 2307], "round_ok": [917, 954], "round_trip": [1469, 1486, 2199, 2235, 2277, 2289], "roundoff": [2228, 2230], "roundtrip": [10, 1470, 2199, 2265, 2267, 2273, 2283, 2294, 2303, 2304], "rout": [1482, 2186], "routin": [22, 123, 126, 698, 702, 1043, 1369, 2186, 2196, 2201, 2212, 2217, 2230, 2235, 2236, 2249, 2253, 2265], "row": [3, 15, 21, 23, 24, 27, 28, 30, 31, 32, 34, 63, 65, 68, 70, 71, 72, 73, 75, 76, 77, 80, 83, 86, 91, 94, 95, 96, 100, 101, 103, 104, 105, 106, 108, 111, 112, 113, 114, 116, 118, 119, 120, 121, 122, 123, 126, 127, 130, 131, 132, 134, 135, 136, 137, 138, 139, 140, 141, 142, 144, 150, 151, 152, 157, 159, 160, 161, 167, 169, 172, 175, 176, 179, 180, 182, 184, 185, 186, 188, 202, 207, 208, 212, 213, 218, 223, 225, 226, 228, 231, 233, 237, 240, 241, 242, 247, 248, 249, 251, 253, 255, 257, 258, 259, 260, 266, 267, 269, 272, 273, 274, 276, 281, 283, 285, 321, 345, 346, 352, 359, 360, 366, 488, 494, 577, 579, 580, 584, 585, 587, 588, 592, 594, 597, 619, 623, 625, 626, 627, 628, 630, 632, 633, 635, 636, 695, 696, 697, 698, 702, 703, 709, 712, 714, 715, 716, 717, 728, 732, 738, 740, 754, 757, 760, 762, 764, 781, 782, 787, 788, 793, 798, 800, 801, 812, 815, 816, 817, 821, 828, 829, 831, 862, 866, 880, 881, 882, 884, 886, 889, 890, 892, 896, 897, 902, 910, 913, 1034, 1074, 1146, 1150, 1151, 1152, 1154, 1156, 1157, 1160, 1161, 1162, 1163, 1165, 1166, 1167, 1169, 1172, 1173, 1174, 1175, 1177, 1179, 1182, 1183, 1184, 1186, 1188, 1191, 1193, 1194, 1197, 1199, 1201, 1202, 1204, 1205, 1209, 1210, 1211, 1214, 1217, 1218, 1219, 1220, 1222, 1223, 1226, 1229, 1231, 1232, 1236, 1238, 1241, 1242, 1243, 1244, 1247, 1249, 1252, 1254, 1255, 1258, 1260, 1262, 1263, 1267, 1273, 1276, 1281, 1293, 1305, 1322, 1342, 1345, 1373, 1389, 1391, 1394, 1395, 1396, 1397, 1398, 1400, 1402, 1406, 1408, 1409, 1411, 1413, 1414, 1415, 1421, 1430, 1431, 1432, 1433, 1434, 1445, 1446, 1447, 1453, 1454, 1455, 1458, 1469, 1470, 1472, 1473, 1474, 1475, 1476, 1478, 1482, 1483, 1484, 1486, 1487, 1488, 1490, 1494, 1498, 2166, 2184, 2185, 2188, 2191, 2192, 2193, 2197, 2199, 2201, 2202, 2204, 2205, 2206, 2207, 2208, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2230, 2231, 2232, 2233, 2235, 2237, 2238, 2239, 2241, 2243, 2246, 2255, 2256, 2257, 2258, 2260, 2265, 2266, 2272, 2274, 2275, 2277, 2278, 2279, 2283, 2284, 2285, 2289, 2292, 2293, 2294, 2298, 2300, 2302, 2307, 2308], "row0": [1422, 2207], "row1": [252, 2207, 2232], "row1_col2": 1424, "row2": [252, 2232], "row_0": [1342, 2204], "row_1": 130, "row_2": 130, "row_el": 1487, "row_head": [1394, 1400, 1421, 2207], "row_index": [2186, 2207, 2218, 2222, 2307], "row_level": [815, 2206, 2225], "row_mask": 2197, "row_nam": [272, 2199], "row_numb": 18, "row_trim": [1394, 1421, 2207], "rowcolor": 1433, "rowcount": [267, 896], "rowl": 2199, "rowlabel": 1466, "rownam": [1342, 2204], "rowspan": [1475, 2199, 2235, 2246, 2277], "rowwis": [123, 2207, 2246], "royal": 2220, "rpartit": [853, 2208, 2226, 2246, 2265], "rplot": [2225, 2232], "rpow": [199, 773, 2246], "rpy": [2218, 2225, 2235], "rpy2": [2218, 2225, 2235, 2261], "rrggbb": 2207, "rrrrr": 1433, "rsplit": [16, 17, 19, 866, 2208, 2227, 2294, 2298, 2299, 2301, 2306], "rss": 2199, "rst": [2, 4], "rstrip": [16, 17, 19, 849, 868, 2208, 2214], "rsub": [244, 878, 2186], "rsuffix": 153, "rt": [2199, 2235], "rtol": [1493, 1494, 1495, 1496], "rtruediv": [109, 206, 275, 631, 780, 901], "rubbish": 2249, "ruff": 2, "rule": [2, 12, 97, 143, 212, 213, 230, 620, 719, 787, 788, 804, 877, 1031, 1118, 1192, 1253, 1345, 1391, 1421, 1433, 1488, 1490, 1498, 1499, 2186, 2190, 2191, 2193, 2194, 2197, 2198, 2199, 2201, 2202, 2207, 2210, 2214, 2221, 2222, 2227, 2228, 2229, 2231, 2232, 2249, 2265, 2271, 2289, 2294, 2298], "rule_cod": [2232, 2241], "run": [1, 3, 4, 5, 6, 8, 11, 13, 16, 30, 120, 214, 255, 836, 837, 838, 839, 840, 841, 842, 843, 844, 1148, 1149, 1178, 1179, 1181, 1199, 1200, 1203, 1205, 1207, 1208, 1237, 1238, 1240, 1260, 1261, 1264, 1267, 1300, 1302, 1305, 1310, 1311, 1312, 1313, 1318, 1319, 1320, 1322, 1327, 1328, 1329, 1330, 1335, 1336, 1337, 1345, 1391, 1473, 1488, 1490, 1492, 2185, 2193, 2194, 2199, 2202, 2207, 2217, 2218, 2220, 2222, 2226, 2228, 2232, 2235, 2238, 2240, 2241, 2246, 2249, 2250, 2281, 2289, 2298], "run_cod": 2193, "run_doctest": 1492, "run_ewm": 2212, "runif": 15, "runner": [13, 2172, 2230], "runtim": [2193, 2199, 2205], "runtimeerror": [2185, 2199, 2249, 2250, 2265, 2272, 2288, 2294], "runtimewarn": [434, 2232, 2247, 2271, 2299], "rust": [2199, 2307], "rut": 25, "rv": 2200, "rval": 2184, "rvalu": [1448, 2186], "rwrap": 1433, "s1": [62, 65, 94, 266, 604, 615, 617, 618, 619, 622, 624, 823, 836, 837, 838, 839, 840, 841, 842, 843, 844, 898, 1146, 1213, 1215, 1323, 1390, 2184, 2186, 2188, 2192, 2197, 2199, 2200, 2208, 2218, 2232, 2235, 2249, 2263, 2277, 2278], "s10": 2191, "s2": [65, 94, 110, 266, 617, 618, 619, 622, 624, 789, 823, 836, 837, 838, 839, 840, 841, 842, 843, 844, 898, 1146, 1213, 1215, 1323, 2186, 2188, 2191, 2194, 2197, 2200, 2207, 2208, 2218, 2222, 2230, 2232, 2249, 2257, 2263, 2277, 2278], "s2_int": 2194, "s3": [22, 251, 253, 258, 260, 263, 265, 268, 272, 341, 836, 837, 838, 839, 840, 841, 842, 843, 844, 884, 886, 889, 892, 895, 1431, 1469, 1470, 1471, 1472, 1475, 1476, 1477, 1478, 1479, 1480, 1485, 1486, 1487, 2188, 2199, 2200, 2208, 2221, 2225, 2228, 2230, 2239, 2241, 2249, 2250, 2269, 2270, 2271, 2277], "s3a": 2228, "s3f": [22, 2199, 2235, 2250, 2265, 2271, 2277, 2283, 2289, 2294, 2302, 2307], "s3file": 2250, "s3n": 2228, "s4": [836, 837, 838, 839, 840, 841, 842, 843, 844, 2200, 2207, 2208], "s5": [836, 837, 838, 839, 840, 841, 842, 843, 844, 2186, 2200], "s_awar": 2210, "s_buf": 2199, "s_cat": [2188, 2199], "s_copi": [98, 621, 2230], "s_dupe": 2199, "s_int": 2194, "s_int_pa": 2194, "s_mi": 2197, "s_multi": 2199, "s_naiv": 2210, "s_per": 2199, "s_tz": 2199, "sa": [17, 18, 19, 20, 21, 1480, 1741, 2172, 2196, 2197, 2230, 2231, 2232, 2234, 2235, 2294, 2298, 2307], "sacrific": 34, "safari": [207, 781], "safe": [98, 240, 257, 621, 816, 1042, 1394, 1403, 1404, 2186, 2191, 2193, 2194, 2199, 2207, 2225, 2246, 2249, 2294, 2297], "safest": 2199, "safeti": [2196, 2217], "sai": [2, 6, 13, 17, 18, 183, 238, 251, 282, 761, 884, 1469, 1486, 2185, 2186, 2197, 2198, 2199, 2207, 2217, 2218, 2220, 2238], "said": [13, 2192, 2199], "sake": 2199, "sake2013": 2199, "salari": [183, 761, 2235], "sale": [187, 228, 763], "salmon": [1186, 1195, 1196, 1247, 1256, 1257, 1292, 1400], "same": [0, 2, 3, 7, 10, 13, 15, 16, 17, 18, 19, 25, 28, 29, 30, 40, 41, 53, 55, 56, 60, 65, 69, 77, 81, 82, 85, 91, 92, 94, 95, 96, 101, 103, 104, 105, 106, 107, 109, 110, 119, 121, 123, 125, 126, 129, 133, 134, 136, 141, 143, 144, 146, 148, 149, 160, 163, 169, 171, 173, 177, 178, 182, 184, 185, 186, 191, 192, 194, 195, 197, 199, 203, 204, 205, 206, 207, 208, 210, 212, 214, 215, 216, 217, 219, 220, 221, 222, 223, 227, 228, 233, 234, 239, 242, 244, 246, 249, 256, 267, 273, 274, 275, 278, 280, 282, 284, 285, 287, 288, 296, 306, 307, 308, 309, 316, 318, 322, 331, 347, 351, 353, 366, 368, 375, 376, 378, 386, 390, 401, 402, 413, 417, 418, 420, 421, 427, 430, 439, 445, 459, 462, 465, 489, 491, 498, 500, 529, 532, 562, 573, 589, 593, 596, 608, 613, 616, 618, 622, 624, 625, 626, 627, 628, 629, 632, 639, 652, 658, 659, 660, 661, 670, 673, 677, 682, 683, 686, 695, 696, 699, 701, 702, 708, 709, 712, 717, 719, 720, 725, 726, 738, 740, 741, 755, 756, 760, 762, 767, 769, 770, 778, 781, 782, 784, 787, 798, 799, 802, 807, 817, 821, 823, 824, 827, 829, 831, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 856, 859, 865, 867, 873, 882, 888, 893, 896, 900, 904, 905, 911, 912, 913, 916, 919, 922, 929, 939, 940, 943, 948, 957, 958, 960, 970, 997, 1001, 1004, 1005, 1040, 1050, 1052, 1053, 1076, 1117, 1125, 1128, 1141, 1146, 1164, 1167, 1170, 1184, 1188, 1194, 1203, 1213, 1215, 1221, 1224, 1227, 1249, 1255, 1264, 1275, 1277, 1296, 1298, 1299, 1300, 1301, 1302, 1303, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1343, 1344, 1354, 1387, 1388, 1393, 1394, 1395, 1396, 1397, 1398, 1400, 1403, 1407, 1416, 1430, 1433, 1441, 1442, 1446, 1447, 1448, 1449, 1450, 1453, 1454, 1458, 1462, 1467, 1469, 1476, 1479, 1485, 1486, 1487, 1494, 1495, 1496, 1498, 1793, 1815, 2164, 2165, 2167, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2195, 2197, 2199, 2200, 2201, 2204, 2207, 2208, 2210, 2211, 2212, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2224, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2240, 2241, 2246, 2247, 2249, 2257, 2261, 2264, 2265, 2271, 2272, 2277, 2288, 2289, 2292, 2294, 2298, 2302, 2307], "sampl": [3, 102, 191, 194, 213, 242, 267, 321, 459, 767, 769, 788, 817, 896, 1125, 1158, 1298, 1299, 1308, 1325, 1343, 1416, 1455, 1457, 1467, 2186, 2194, 2195, 2196, 2199, 2211, 2212, 2217, 2218, 2228, 2232, 2235, 2241, 2271, 2283, 2289, 2298], "sample1": 1416, "sample2": 1416, "sample3": 1416, "sample_frac": 15, "sample_n": 15, "sample_valu": 3, "san": 18, "sanction": 2232, "sandbox": [2225, 2232, 2256], "sandstrom": 25, "saner": 2199, "sanitize_arrai": 2298, "sas7bdat": [16, 1480, 2199, 2230, 2234, 2238, 2246, 2294], "sas7bdatread": [1480, 2199, 2232, 2234], "sas_data": [1480, 2199], "sas_xport": [2199, 2228], "saslib": 2235, "sat": [18, 2195, 2210, 2217], "satisfact": 4, "satisfi": [10, 25, 207, 208, 364, 378, 417, 445, 465, 489, 781, 782, 821, 1061, 1090, 1168, 1225, 1344, 1345, 1391, 1488, 1490, 1499, 2202, 2232, 2246, 2298], "satod": 32, "saturdai": [962, 1512, 1530, 1548, 1566, 1586, 1607, 1626, 1643, 1665, 1686, 1707, 1728, 1741, 1747, 1765, 1782, 1793, 1801, 1815, 1823, 1846, 1857, 1863, 1883, 1901, 1919, 1936, 1953, 1971, 1988, 2006, 2025, 2043, 2061, 2079, 2096, 2108, 2114, 2133, 2151, 2210, 2217], "saundercock": 25, "sav": [22, 1481, 2199, 2249], "save": [1, 4, 16, 17, 19, 24, 26, 27, 34, 253, 254, 262, 263, 288, 296, 318, 341, 568, 639, 652, 673, 811, 886, 932, 940, 943, 948, 953, 957, 969, 970, 997, 1142, 1431, 1498, 2188, 2199, 2207, 2210, 2216, 2218, 2222, 2223, 2226, 2228, 2230, 2237, 2241, 2246, 2249, 2253, 2271, 2277, 2283, 2288, 2289, 2293, 2294, 2298], "savefig": [26, 2184], "saw": [36, 2198, 2199], "sb": 2191, "scalar": [2, 10, 34, 65, 69, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 83, 90, 94, 109, 118, 120, 123, 125, 129, 132, 135, 141, 145, 155, 156, 159, 161, 162, 163, 164, 165, 166, 167, 170, 171, 173, 175, 185, 191, 194, 197, 199, 200, 201, 204, 206, 207, 208, 210, 212, 215, 216, 217, 220, 221, 222, 224, 225, 230, 232, 240, 242, 244, 245, 267, 275, 283, 284, 310, 368, 377, 378, 403, 406, 408, 417, 420, 430, 432, 439, 445, 449, 461, 465, 467, 489, 573, 576, 578, 581, 582, 583, 584, 585, 591, 592, 594, 599, 602, 603, 617, 625, 626, 627, 628, 631, 632, 694, 698, 701, 706, 707, 710, 717, 727, 730, 731, 734, 739, 741, 742, 743, 744, 746, 747, 749, 750, 753, 767, 769, 773, 774, 775, 777, 780, 781, 782, 783, 784, 787, 790, 791, 792, 795, 796, 797, 799, 800, 804, 806, 816, 817, 823, 832, 850, 878, 879, 891, 896, 901, 906, 910, 912, 914, 918, 938, 945, 1031, 1035, 1037, 1038, 1041, 1052, 1053, 1061, 1063, 1064, 1065, 1078, 1109, 1118, 1127, 1131, 1142, 1152, 1167, 1196, 1203, 1211, 1224, 1257, 1264, 1269, 1270, 1271, 1304, 1321, 1343, 1387, 1398, 1407, 1413, 1414, 1441, 1442, 1445, 1449, 1450, 1454, 1467, 1470, 1498, 1499, 1500, 2172, 2184, 2185, 2186, 2188, 2191, 2192, 2193, 2194, 2195, 2196, 2199, 2201, 2204, 2206, 2207, 2208, 2209, 2210, 2218, 2219, 2220, 2221, 2223, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2233, 2235, 2236, 2241, 2242, 2243, 2246, 2248, 2249, 2250, 2256, 2261, 2266, 2271, 2272, 2274, 2276, 2277, 2278, 2281, 2283, 2287, 2288, 2289, 2294, 2298, 2299, 2300, 2302], "scalar_v": 2261, "scale": [31, 186, 193, 762, 768, 1188, 1249, 1460, 2188, 2196, 2203, 2207, 2212, 2215, 2218, 2232, 2242, 2248, 2249, 2257, 2260, 2265], "scan": [16, 2185], "scatter": [21, 26, 186, 762, 1188, 1249, 1460, 1463, 1465, 2191, 2218, 2220, 2221, 2222, 2224, 2225, 2228, 2237, 2246, 2260, 2265, 2271, 2277, 2283, 2294, 2295, 2296, 2297, 2302, 2307], "scatter_matrix": [2172, 2211, 2219, 2226, 2235, 2260, 2261, 2283], "scatterci": 2219, "scenario": [1382, 2218, 2307], "scene": [2207, 2218], "schedul": [13, 2218], "schema": [255, 258, 267, 889, 896, 1345, 1391, 1436, 1476, 1484, 1488, 1490, 2196, 2222, 2228, 2229, 2232, 2242, 2249, 2265, 2277, 2309], "scheme": [207, 781, 1469, 1470, 1471, 1472, 1476, 1477, 1478, 1480, 1485, 1486, 1487, 2199, 2216, 2217, 2238], "schendel": [2247, 2248], "schilcu01": 2191, "schulz": 2222, "scienc": [34, 2199], "scientif": [22, 34, 1345, 1391, 1488, 1490, 2185, 2193, 2202, 2228, 2283], "scientist": 34, "scikit": [532, 2210, 2261], "scipi": [3, 22, 35, 146, 191, 194, 218, 237, 238, 720, 767, 769, 793, 812, 815, 1111, 1193, 1254, 1280, 1309, 1317, 1326, 1334, 1338, 1339, 1340, 1341, 2196, 2201, 2212, 2218, 2219, 2220, 2231, 2236, 2238, 2246, 2249, 2256, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "scope": [1, 7, 13, 30, 32, 1387, 2186, 2190, 2207], "score": [274, 418, 2207, 2219], "scoreatpercentil": 2220, "scott": [191, 194, 767, 769, 1443, 2199], "scrambl": 2294, "scrape": 2216, "scratch": [23, 267, 896], "screen": [17, 91, 1345, 1391, 1458, 1488, 1490, 2202, 2249], "screenshot": 2207, "script": [1, 2, 3, 4, 5, 13, 272, 1487, 2199, 2202, 2220, 2235, 2289], "scroll": [5, 17, 1419, 2227, 2283], "sd": 15, "sdf": [2206, 2235], "sdist": [13, 2244], "se": [268, 2197], "seaborn": [35, 2207, 2225, 2232], "seamlessli": 1, "search": [1, 2, 5, 13, 16, 17, 19, 22, 126, 172, 212, 256, 346, 351, 420, 702, 787, 799, 823, 830, 831, 835, 850, 858, 859, 888, 1447, 1475, 1487, 2194, 2197, 2199, 2201, 2202, 2203, 2208, 2218, 2235, 2241, 2246, 2249, 2265, 2294, 2302, 2307], "searchabl": [35, 256, 351, 888], "searchpath": 1405, "searchsort": [1031, 2222, 2224, 2231, 2235, 2246, 2249, 2265, 2271, 2277, 2289, 2294, 2298], "seattl": 142, "sec": [916, 1500, 2209, 2222], "second": [0, 1, 2, 3, 4, 10, 12, 15, 16, 17, 19, 30, 32, 56, 79, 95, 172, 183, 210, 212, 213, 218, 247, 258, 282, 288, 296, 318, 380, 503, 510, 522, 524, 532, 540, 552, 591, 637, 639, 640, 652, 664, 673, 683, 761, 784, 787, 788, 793, 857, 880, 889, 916, 920, 923, 927, 934, 940, 941, 943, 946, 948, 953, 957, 969, 970, 983, 995, 997, 1005, 1020, 1148, 1149, 1192, 1203, 1207, 1208, 1253, 1264, 1306, 1323, 1338, 1339, 1340, 1341, 1382, 1398, 1400, 1402, 1433, 1436, 1470, 1476, 1494, 1498, 1500, 1741, 2172, 2184, 2185, 2186, 2188, 2191, 2193, 2195, 2196, 2197, 2199, 2204, 2206, 2207, 2209, 2210, 2212, 2217, 2218, 2222, 2224, 2225, 2228, 2232, 2235, 2241, 2246, 2249, 2271, 2277, 2289, 2294, 2298, 2302, 2307], "secondari": [186, 762, 1188, 1249, 2186, 2226, 2238, 2248, 2262, 2294], "secondary_i": [186, 762, 1188, 1249, 2211, 2221, 2226, 2238, 2261, 2283], "secondli": [31, 2184, 2210], "seconds_seri": 637, "secret": [6, 2215], "section": [0, 1, 2, 4, 5, 6, 9, 10, 12, 13, 17, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 160, 212, 241, 267, 276, 285, 510, 738, 787, 896, 902, 905, 913, 1118, 1203, 1264, 1398, 1403, 1475, 1487, 1498, 2167, 2184, 2186, 2188, 2190, 2191, 2192, 2194, 2195, 2197, 2199, 2201, 2204, 2207, 2210, 2211, 2212, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2226, 2231, 2232, 2235, 2241, 2246, 2249, 2256, 2261, 2265, 2277], "secur": [11, 2199], "see": [1, 2, 4, 5, 9, 10, 13, 14, 15, 16, 17, 18, 19, 21, 22, 24, 25, 26, 28, 29, 30, 32, 35, 39, 46, 49, 72, 73, 77, 79, 83, 87, 91, 98, 102, 111, 114, 115, 117, 119, 120, 121, 122, 134, 141, 144, 146, 154, 160, 163, 168, 181, 182, 184, 186, 190, 191, 194, 197, 203, 207, 209, 212, 213, 218, 224, 233, 234, 238, 241, 243, 246, 251, 252, 253, 255, 256, 258, 260, 263, 265, 267, 268, 271, 272, 273, 284, 285, 286, 288, 296, 318, 337, 339, 341, 342, 345, 346, 351, 352, 354, 378, 436, 440, 445, 447, 448, 453, 454, 459, 465, 478, 489, 494, 573, 578, 581, 582, 586, 589, 591, 594, 598, 621, 631, 636, 639, 652, 673, 693, 695, 696, 697, 706, 709, 717, 718, 720, 738, 741, 747, 749, 759, 760, 762, 766, 767, 769, 773, 777, 780, 781, 783, 787, 788, 790, 791, 792, 793, 795, 796, 797, 807, 808, 821, 824, 828, 851, 857, 862, 866, 878, 884, 886, 888, 889, 892, 895, 896, 899, 900, 901, 905, 908, 912, 913, 916, 923, 938, 940, 943, 948, 999, 1031, 1054, 1090, 1094, 1117, 1118, 1121, 1123, 1124, 1125, 1145, 1146, 1148, 1149, 1152, 1158, 1168, 1187, 1188, 1192, 1193, 1202, 1203, 1207, 1208, 1211, 1225, 1248, 1249, 1253, 1254, 1263, 1264, 1269, 1270, 1280, 1289, 1300, 1302, 1304, 1310, 1311, 1312, 1313, 1319, 1321, 1327, 1328, 1329, 1330, 1336, 1343, 1344, 1345, 1350, 1354, 1380, 1381, 1387, 1391, 1393, 1394, 1395, 1399, 1400, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1416, 1417, 1418, 1419, 1421, 1424, 1431, 1433, 1436, 1448, 1452, 1453, 1458, 1468, 1469, 1470, 1471, 1473, 1474, 1475, 1476, 1478, 1479, 1482, 1485, 1486, 1487, 1488, 1490, 1497, 1498, 1793, 1815, 2167, 2169, 2175, 2177, 2180, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2196, 2197, 2199, 2201, 2202, 2204, 2205, 2206, 2207, 2208, 2210, 2211, 2212, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2244, 2245, 2246, 2247, 2248, 2249, 2250, 2251, 2252, 2253, 2254, 2255, 2256, 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, 2310], "seed": [2, 3, 15, 91, 102, 190, 192, 193, 223, 766, 768, 798, 1154, 1158, 1194, 1255, 1456, 1457, 1458, 1460, 1462, 2166, 2185, 2195, 2197, 2199, 2201, 2205, 2207, 2211, 2218, 2223, 2226, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2271], "seek": [262, 263, 2199, 2298], "seekabl": [2241, 2298], "seem": [8, 13, 2218, 2235, 2260], "seemingli": 2227, "seen": [10, 25, 1182, 1241, 2195, 2210, 2211, 2222, 2246, 2271, 2283, 2294], "segfault": [44, 2193, 2215, 2218, 2219, 2220, 2226, 2227, 2228, 2230, 2231, 2232, 2234, 2235, 2236, 2238, 2241, 2246, 2248, 2249, 2250, 2252, 2271, 2272, 2277, 2278, 2287, 2289, 2290, 2294, 2298, 2299], "segment": [1343, 2211, 2215, 2218, 2228, 2235, 2239, 2246, 2249, 2271, 2275, 2289, 2292, 2293], "segunda": [291, 643], "sel": 1478, "seldom": 2186, "select": [1, 2, 5, 10, 15, 20, 21, 22, 23, 26, 28, 31, 32, 33, 35, 63, 68, 84, 88, 91, 107, 111, 126, 127, 134, 136, 141, 157, 160, 172, 176, 179, 186, 188, 209, 213, 224, 240, 248, 249, 256, 267, 276, 285, 300, 301, 345, 346, 351, 368, 430, 439, 577, 595, 600, 617, 629, 634, 702, 703, 709, 712, 717, 732, 738, 762, 764, 788, 816, 877, 881, 882, 888, 896, 902, 913, 1146, 1148, 1149, 1164, 1188, 1194, 1202, 1221, 1249, 1255, 1263, 1345, 1353, 1391, 1395, 1396, 1406, 1413, 1414, 1433, 1447, 1455, 1458, 1463, 1469, 1470, 1473, 1474, 1482, 1483, 1484, 1486, 1488, 1490, 2172, 2185, 2190, 2193, 2196, 2200, 2202, 2204, 2207, 2208, 2209, 2210, 2211, 2213, 2214, 2215, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2227, 2229, 2230, 2231, 2232, 2235, 2246, 2249, 2254, 2257, 2259, 2261, 2263, 2264, 2265, 2266, 2271, 2272, 2276, 2277, 2283, 2286, 2289, 2294, 2298, 2302, 2307], "select_as_coordin": [2199, 2220], "select_as_multipl": [2199, 2215, 2216, 2220, 2236], "select_axi": 2199, "select_column": [2199, 2215, 2216, 2220, 2222, 2228, 2241], "select_columns_by_nam": [66, 1077], "select_dtyp": [107, 629, 1164, 1221, 2186, 2208, 2221, 2230, 2235, 2238, 2241, 2265, 2283, 2289, 2293], "selector": [16, 17, 18, 19, 1394, 1400, 1421, 1423, 1433, 1435, 2185, 2199, 2207, 2215, 2218, 2220, 2235, 2283, 2289], "self": [2, 3, 10, 13, 16, 17, 18, 19, 22, 80, 94, 96, 110, 134, 163, 202, 230, 256, 273, 284, 285, 287, 331, 355, 366, 368, 389, 416, 420, 430, 434, 439, 476, 533, 574, 592, 597, 619, 632, 686, 709, 741, 789, 799, 804, 888, 893, 900, 912, 913, 939, 983, 1017, 1031, 1035, 1040, 1042, 1043, 1044, 1051, 1052, 1053, 1055, 1061, 1063, 1064, 1068, 1069, 1071, 1072, 1073, 1139, 1142, 1159, 1203, 1216, 1264, 1291, 1298, 1299, 1306, 1308, 1323, 1325, 1346, 1415, 1432, 2184, 2185, 2186, 2191, 2192, 2193, 2194, 2197, 2199, 2200, 2201, 2202, 2203, 2205, 2208, 2210, 2212, 2218, 2228, 2230, 2235, 2241, 2246, 2247, 2249, 2265, 2271, 2283, 2294, 2298, 2302, 2307], "sell": 1433, "sem": [1041, 2186, 2195, 2210, 2221, 2225, 2271, 2277, 2278, 2294, 2298, 2302], "semant": [10, 14, 16, 19, 34, 141, 203, 388, 717, 1387, 2191, 2193, 2194, 2196, 2197, 2199, 2230, 2241, 2257, 2261, 2265, 2274, 2277, 2302, 2307], "semi": [102, 1158, 1403, 1443, 1476, 2199, 2210, 2212, 2218], "semimonthbegin": [2172, 2210, 2232], "semimonthend": [2172, 2210, 2232, 2307], "semver": [14, 2265], "send": [1, 16, 17, 18, 19, 144, 2199, 2235, 2241, 2283], "sens": [3, 4, 28, 251, 253, 258, 260, 263, 265, 268, 272, 341, 884, 886, 889, 892, 895, 1431, 1469, 1470, 1471, 1475, 1476, 1478, 1479, 1485, 1486, 1487, 2191, 2220, 2222, 2238], "sensibl": [13, 34, 2199], "sensibli": 2195, "sensit": [3, 823, 832, 850, 857, 2186, 2199, 2231], "sensor": 29, "sent": [2199, 2249], "sentenc": [2, 3, 819, 820, 848, 862, 866, 869, 870, 872, 2241], "sentinel": [16, 19, 376, 699, 1051, 1388, 2168, 2194, 2201, 2219, 2271, 2294], "sep": [16, 17, 18, 19, 150, 250, 251, 821, 834, 845, 853, 861, 883, 884, 983, 1354, 1374, 1389, 1443, 1468, 1469, 1486, 1699, 1720, 2166, 2186, 2199, 2203, 2204, 2208, 2210, 2219, 2220, 2222, 2230, 2232, 2235, 2246, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2307], "sepal": [2191, 2225], "sepal_ratio": [2191, 2225], "sepallength": [1463, 2191, 2225], "sepalratio": [2191, 2225], "sepalwidth": [1463, 2191, 2225], "separ": [2, 3, 8, 16, 18, 19, 26, 27, 29, 31, 63, 91, 137, 147, 186, 233, 250, 251, 253, 257, 259, 269, 341, 698, 713, 762, 821, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 853, 861, 862, 866, 883, 884, 886, 890, 983, 1154, 1173, 1183, 1188, 1230, 1244, 1249, 1345, 1354, 1373, 1374, 1389, 1390, 1391, 1394, 1403, 1404, 1431, 1433, 1434, 1443, 1458, 1468, 1469, 1470, 1472, 1475, 1486, 1487, 1488, 1490, 1493, 1499, 2166, 2180, 2191, 2197, 2200, 2202, 2204, 2207, 2208, 2210, 2211, 2212, 2218, 2219, 2222, 2225, 2226, 2227, 2230, 2232, 2234, 2235, 2241, 2246, 2249, 2261, 2265, 2277, 2283, 2289], "sept": 2302, "septemb": [1501, 2210, 2213], "seq": 493, "sequenc": [3, 46, 65, 69, 80, 81, 109, 112, 114, 116, 118, 121, 129, 130, 131, 132, 134, 135, 137, 159, 161, 169, 171, 173, 175, 186, 188, 189, 190, 192, 193, 195, 197, 199, 204, 206, 207, 215, 216, 217, 220, 221, 222, 230, 244, 251, 253, 257, 267, 275, 354, 463, 478, 481, 485, 486, 487, 488, 491, 492, 493, 500, 501, 505, 592, 696, 709, 713, 724, 762, 764, 765, 766, 768, 770, 781, 783, 804, 823, 827, 832, 836, 837, 838, 839, 840, 841, 842, 843, 844, 846, 850, 856, 857, 867, 884, 886, 896, 1033, 1037, 1038, 1064, 1118, 1129, 1143, 1146, 1147, 1159, 1173, 1188, 1196, 1206, 1216, 1230, 1249, 1257, 1268, 1272, 1286, 1306, 1323, 1342, 1343, 1345, 1388, 1391, 1394, 1403, 1404, 1406, 1407, 1431, 1446, 1447, 1448, 1469, 1470, 1471, 1475, 1486, 1488, 1490, 2163, 2185, 2188, 2191, 2197, 2199, 2202, 2210, 2212, 2216, 2218, 2246, 2255, 2257, 2271, 2283, 2289, 2294, 2298, 2302, 2307], "sequenti": [214, 278, 331, 686, 904], "ser": [2, 3, 41, 45, 51, 52, 53, 57, 61, 62, 63, 82, 85, 124, 133, 148, 149, 177, 178, 186, 343, 344, 420, 441, 442, 443, 444, 573, 575, 586, 590, 593, 596, 599, 606, 607, 608, 609, 610, 614, 615, 636, 648, 662, 664, 669, 675, 700, 708, 709, 713, 725, 726, 755, 756, 762, 772, 799, 809, 811, 822, 825, 826, 830, 832, 835, 847, 850, 851, 857, 858, 859, 860, 871, 893, 897, 914, 942, 946, 947, 949, 1027, 1028, 1029, 1030, 1147, 1150, 1151, 1157, 1160, 1161, 1162, 1163, 1165, 1166, 1170, 1171, 1176, 1178, 1180, 1181, 1185, 1186, 1188, 1189, 1195, 1196, 1197, 1199, 1200, 1205, 1206, 1209, 1210, 1214, 1217, 1218, 1219, 1220, 1222, 1223, 1224, 1227, 1228, 1230, 1233, 1237, 1239, 1240, 1245, 1246, 1247, 1249, 1250, 1256, 1257, 1258, 1259, 1260, 1261, 1264, 1265, 1267, 1268, 1271, 1273, 1274, 1277, 1278, 1279, 1282, 1283, 1284, 1285, 1287, 1288, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1300, 1301, 1302, 1303, 1305, 1307, 1310, 1311, 1312, 1313, 1314, 1317, 1319, 1322, 1327, 1334, 1338, 1339, 1340, 1341, 1352, 2185, 2186, 2190, 2191, 2197, 2200, 2201, 2203, 2211, 2218, 2228, 2230, 2241, 2246, 2265, 2271, 2277, 2283, 2294, 2298, 2302, 2307], "ser1": [3, 1298, 1299, 1306, 1308, 1325, 2191, 2201, 2271], "ser2": [3, 1298, 1299, 1306, 1308, 1325, 2191, 2201, 2271, 2283], "ser3": [3, 2191], "ser_ad": 2203, "ser_dat": [82, 593], "ser_dt": 2203, "ser_empti": [117, 693], "ser_float": 2294, "ser_list": 2294, "ser_monoton": 2271, "ser_sd": 2203, "ser_str": 2203, "seri": [2, 3, 7, 8, 10, 12, 13, 14, 15, 18, 21, 24, 25, 26, 29, 32, 33, 34, 35, 41, 45, 46, 51, 52, 53, 56, 57, 61, 62, 63, 65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 87, 88, 89, 90, 91, 92, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 121, 122, 123, 124, 125, 126, 127, 128, 129, 132, 134, 135, 137, 138, 139, 140, 141, 142, 143, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 168, 169, 170, 171, 172, 173, 174, 175, 177, 178, 180, 181, 182, 183, 186, 190, 191, 193, 194, 195, 196, 198, 199, 200, 201, 202, 204, 205, 206, 207, 208, 209, 210, 212, 213, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 230, 231, 232, 233, 234, 240, 241, 242, 243, 244, 245, 249, 252, 256, 258, 261, 271, 273, 275, 276, 277, 278, 279, 280, 281, 283, 284, 285, 288, 289, 290, 291, 292, 293, 294, 295, 296, 299, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 321, 323, 324, 325, 328, 329, 331, 332, 333, 342, 343, 344, 345, 346, 351, 355, 356, 357, 359, 360, 362, 369, 373, 376, 377, 378, 385, 392, 401, 402, 403, 405, 406, 408, 411, 412, 414, 416, 417, 419, 420, 423, 424, 427, 428, 431, 432, 433, 435, 436, 439, 441, 442, 443, 444, 465, 484, 489, 503, 519, 540, 547, 548, 549, 568, 914, 931, 940, 942, 943, 945, 946, 947, 948, 949, 950, 952, 1027, 1028, 1029, 1030, 1031, 1034, 1035, 1040, 1052, 1060, 1064, 1069, 1071, 1072, 1078, 1081, 1084, 1088, 1093, 1097, 1101, 1104, 1110, 1111, 1112, 1113, 1115, 1117, 1118, 1120, 1122, 1141, 1143, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1199, 1200, 1201, 1202, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1345, 1349, 1350, 1352, 1355, 1358, 1360, 1377, 1382, 1386, 1387, 1388, 1389, 1390, 1391, 1392, 1394, 1395, 1396, 1397, 1411, 1430, 1436, 1441, 1442, 1446, 1447, 1448, 1449, 1450, 1456, 1457, 1458, 1460, 1463, 1466, 1467, 1476, 1479, 1488, 1490, 1493, 1494, 1496, 1498, 1499, 1500, 2163, 2165, 2167, 2171, 2172, 2173, 2174, 2179, 2183, 2186, 2187, 2190, 2192, 2193, 2194, 2196, 2197, 2198, 2199, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2209, 2211, 2212, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2223, 2224, 2225, 2226, 2227, 2229, 2230, 2231, 2233, 2234, 2236, 2237, 2239, 2240, 2242, 2243, 2245, 2247, 2248, 2250, 2251, 2253, 2254, 2255, 2256, 2258, 2259, 2260, 2262, 2263, 2264, 2266, 2267, 2269, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2282, 2284, 2285, 2286, 2287, 2288, 2290, 2291, 2293, 2295, 2296, 2297, 2299, 2300, 2301, 2303, 2304, 2306, 2308, 2309], "serial": [9, 10, 16, 253, 265, 341, 352, 886, 895, 1431, 1474, 1478, 1479, 2172, 2199, 2202, 2215, 2218, 2226, 2228, 2230, 2231, 2235, 2238, 2239, 2261, 2271, 2285, 2289, 2298, 2302], "serialis": [258, 889, 2225, 2231], "serializ": 2199, "series1": 2185, "series2": [2185, 2211], "series_gen": 2194, "series_gener": 2194, "series_minut": 2210, "series_monthli": 2210, "series_second": 2210, "seriesformatt": [1345, 1391, 1488, 1490, 2202], "seriesgroupbi": [186, 205, 223, 709, 762, 778, 798, 1147, 1150, 1151, 1157, 1160, 1161, 1162, 1163, 1165, 1166, 1170, 1171, 1176, 1178, 1180, 1181, 1185, 1186, 1188, 1189, 1195, 1196, 1197, 1199, 1200, 1204, 1205, 1268, 1273, 1277, 1278, 1279, 1284, 1287, 1288, 1292, 1293, 2172, 2195, 2220, 2221, 2228, 2232, 2238, 2241, 2246, 2249, 2265, 2266, 2267, 2269, 2271, 2275, 2276, 2277, 2278, 2284, 2286, 2287, 2288, 2289, 2297, 2299, 2302, 2304, 2307, 2308], "serif": 2207, "seriou": 2, "serv": [3, 6, 12, 13, 2197, 2210, 2241], "serve_cont": 2, "server": [2, 6, 8, 13, 16, 17, 18, 19, 2199, 2220, 2230, 2235], "servic": [2, 5, 34, 255, 1473, 2218, 2230], "service_account": [255, 1473], "session": [2, 3, 5, 22, 91, 137, 186, 713, 762, 1069, 1071, 1072, 1154, 1173, 1188, 1230, 1249, 2199, 2265], "set": [1, 2, 3, 5, 6, 7, 8, 10, 12, 13, 16, 17, 18, 19, 21, 22, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 41, 50, 51, 52, 53, 58, 59, 60, 61, 62, 66, 82, 83, 88, 91, 92, 96, 98, 102, 107, 116, 123, 131, 134, 137, 138, 142, 144, 145, 148, 149, 152, 153, 160, 165, 166, 167, 168, 172, 177, 178, 185, 186, 187, 190, 205, 207, 208, 209, 210, 218, 223, 225, 228, 230, 232, 242, 250, 251, 253, 255, 257, 258, 259, 265, 266, 268, 269, 272, 278, 280, 281, 283, 285, 286, 291, 298, 314, 325, 331, 337, 341, 342, 351, 364, 365, 367, 369, 373, 376, 401, 415, 418, 421, 431, 436, 481, 493, 500, 501, 505, 551, 593, 594, 599, 600, 605, 606, 607, 608, 611, 612, 613, 614, 615, 616, 617, 619, 621, 629, 634, 643, 667, 686, 692, 698, 699, 705, 709, 713, 714, 718, 724, 725, 726, 738, 743, 744, 750, 755, 756, 762, 763, 766, 778, 781, 782, 783, 784, 789, 793, 798, 800, 804, 806, 815, 817, 823, 836, 837, 838, 839, 840, 841, 842, 843, 844, 849, 857, 862, 863, 866, 868, 873, 877, 883, 884, 886, 889, 890, 895, 904, 908, 910, 913, 938, 950, 953, 1055, 1064, 1068, 1081, 1101, 1145, 1146, 1148, 1149, 1152, 1154, 1158, 1164, 1167, 1173, 1178, 1179, 1181, 1188, 1192, 1193, 1194, 1199, 1200, 1203, 1205, 1207, 1208, 1211, 1221, 1224, 1230, 1237, 1238, 1240, 1249, 1253, 1254, 1255, 1260, 1261, 1264, 1267, 1300, 1302, 1305, 1306, 1310, 1311, 1312, 1313, 1318, 1319, 1320, 1322, 1323, 1327, 1328, 1329, 1330, 1335, 1336, 1337, 1342, 1343, 1344, 1345, 1350, 1368, 1380, 1381, 1388, 1391, 1397, 1398, 1402, 1403, 1405, 1407, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1424, 1430, 1431, 1432, 1433, 1434, 1435, 1436, 1444, 1445, 1451, 1454, 1458, 1459, 1463, 1465, 1469, 1470, 1473, 1475, 1476, 1478, 1479, 1480, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1490, 1498, 1499, 1500, 1657, 1677, 1699, 1720, 1741, 2166, 2167, 2172, 2185, 2190, 2191, 2192, 2193, 2194, 2195, 2196, 2199, 2200, 2201, 2203, 2204, 2208, 2209, 2210, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2233, 2235, 2236, 2238, 2239, 2241, 2246, 2248, 2249, 2250, 2253, 2257, 2261, 2263, 2264, 2265, 2266, 2267, 2269, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2285, 2286, 2289, 2290, 2291, 2292, 2293, 2295, 2296, 2297, 2299, 2300, 2302, 2303, 2304, 2306, 2307], "set_aspect": 2211, "set_axi": [2238, 2265, 2283, 2294, 2298], "set_capt": [1424, 2207, 2246], "set_categori": [41, 50, 53, 55, 58, 59, 60, 61, 604, 605, 608, 611, 612, 613, 614, 2184, 2188, 2199, 2222, 2238, 2246, 2283, 2298], "set_clos": 2246, "set_cod": [2197, 2246, 2265, 2277, 2298, 2302], "set_eng_float_format": [2202, 2220, 2232, 2254], "set_flag": [1355, 2192, 2277], "set_index": [15, 18, 31, 113, 153, 207, 208, 211, 214, 242, 271, 283, 285, 635, 781, 782, 817, 899, 910, 913, 1365, 1375, 1384, 1470, 2185, 2186, 2195, 2197, 2199, 2200, 2212, 2218, 2220, 2224, 2226, 2228, 2230, 2231, 2235, 2246, 2247, 2249, 2254, 2262, 2265, 2271, 2283, 2289, 2298, 2302], "set_label": [2218, 2222, 2241, 2246, 2265], "set_level": [2197, 2218, 2222, 2233, 2246, 2277, 2283, 2298, 2302], "set_na_rep": [2283, 2298], "set_nam": [418, 2185, 2197, 2199, 2218, 2222, 2242, 2265, 2283, 2298], "set_num_thread": 2193, "set_opt": [10, 257, 269, 1459, 1464, 1489, 2185, 2186, 2190, 2191, 2199, 2202, 2211, 2214, 2217, 2218, 2219, 2226, 2228, 2249, 2265, 2283, 2294, 2298, 2307], "set_ord": [2232, 2294, 2298], "set_precis": [2283, 2298], "set_printopt": [1345, 1391, 1488, 1490, 2202, 2214, 2218], "set_properti": [1415, 1433, 2207, 2246], "set_sticki": [2207, 2283, 2284, 2285, 2294], "set_table_attribut": [1421, 1422, 1435, 2207], "set_table_class": 1394, "set_table_styl": [1400, 1420, 1422, 1433, 1435, 2207, 2277, 2283], "set_td_class": [1402, 1420, 1421, 2207, 2283], "set_titl": 2211, "set_tooltip": [2207, 2283], "set_uuid": 2207, "set_valu": [2218, 2238, 2256, 2265, 2298], "set_xlim": [2220, 2298], "set_ylabel": [26, 2211], "set_ylim": 2220, "setattr": 2192, "seterr": 2239, "sethmmorton": 234, "setitem": [2188, 2190, 2218, 2219, 2220, 2221, 2222, 2223, 2227, 2230, 2275, 2298], "setitem_with_index": 2218, "setosa": [1463, 2191, 2211, 2225], "setprofil": 2283, "settabl": [346, 2218], "setter": [42, 54, 2185, 2265, 2287, 2307], "setting_with_copy_warn": 2289, "settingwithcopi": [2194, 2197, 2222, 2225], "settingwithcopyerror": [2197, 2294], "settingwithcopywarn": [2197, 2218, 2222, 2228, 2249, 2284, 2289, 2294, 2307], "settl": 2211, "setup": [2, 5, 8, 10, 13, 35, 2186, 2215, 2226, 2240, 2241, 2257], "setuptool": [5, 2240, 2241, 2283], "seven": 2186, "sever": [0, 1, 2, 3, 10, 13, 44, 72, 73, 207, 273, 285, 466, 532, 581, 582, 781, 836, 837, 838, 839, 840, 841, 842, 843, 844, 900, 913, 1269, 1270, 1304, 1321, 1415, 1598, 1677, 2180, 2185, 2186, 2188, 2199, 2201, 2203, 2208, 2210, 2211, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2238, 2241, 2246, 2249, 2263, 2264, 2265, 2271, 2278, 2289, 2294, 2297], "sex": [16, 17, 18, 19, 23, 24, 25, 28, 29, 32], "sex_short": 32, "sf": [2191, 2195, 2197, 2217, 2231], "sfn": [13, 2191, 2197, 2231], "sh": [2, 13, 2191, 2197, 2231], "sh1305": 2199, "sha": 2246, "sha256": 13, "shade": [1397, 1430, 2219, 2283], "shadow": [2, 2257], "shakespear": [2199, 2294], "shall": 34, "shallow": [1, 7, 98, 621, 1487, 2199, 2218, 2220, 2238, 2271, 2283, 2298, 2302], "shanghai": [277, 903], "shape": [15, 25, 30, 69, 77, 91, 96, 101, 107, 109, 118, 119, 121, 129, 132, 135, 159, 161, 163, 168, 171, 173, 175, 199, 204, 206, 215, 216, 217, 218, 220, 221, 222, 233, 234, 238, 244, 272, 273, 275, 284, 349, 420, 427, 629, 695, 696, 741, 793, 799, 807, 812, 815, 900, 912, 1050, 1164, 1203, 1221, 1264, 1395, 1397, 1407, 1430, 1458, 1487, 2186, 2195, 2197, 2199, 2206, 2207, 2212, 2214, 2217, 2218, 2221, 2223, 2225, 2228, 2231, 2232, 2241, 2242, 2246, 2249, 2277, 2278, 2281, 2283, 2288, 2294, 2298], "share": [0, 2, 4, 7, 13, 98, 137, 186, 455, 468, 469, 473, 621, 632, 762, 1132, 1136, 1146, 1154, 1173, 1188, 1249, 1493, 2186, 2190, 2191, 2194, 2196, 2199, 2200, 2210, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2244, 2245, 2246, 2249, 2250, 2251, 2252, 2253, 2254, 2255, 2256, 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, 2310], "sharei": [137, 186, 762, 1154, 1173, 1188, 1249, 2211, 2217, 2242, 2277, 2307], "shares_memori": 2283, "sharex": [137, 186, 762, 1154, 1173, 1188, 1249, 2211, 2217, 2221, 2224, 2226, 2234, 2242], "shark": [136, 248, 712, 881], "sheep": [835, 859], "sheet": [17, 21, 253, 337, 339, 341, 886, 1431, 1470, 2207, 2218, 2220, 2225, 2230, 2234, 2235, 2265, 2283, 2289, 2292, 2294, 2298], "sheet1": [24, 253, 337, 341, 886, 1431, 1470, 2184, 2199, 2217, 2225, 2264], "sheet2": [341, 2199], "sheet3": [341, 1470], "sheet5": 1470, "sheet_nam": [24, 253, 339, 341, 886, 1431, 1470, 2184, 2199, 2238, 2241, 2265, 2298], "sheet_name_1": [253, 886, 1431], "sheet_name_2": [253, 886, 1431], "sheet_name_3": [253, 886, 1431], "sheetnam": [2218, 2225, 2230, 2235, 2238, 2241, 2246, 2249, 2279], "shell": [1433, 2220], "shield": [160, 738], "shift": [6, 16, 17, 19, 34, 108, 182, 278, 288, 296, 318, 331, 597, 630, 639, 652, 673, 686, 760, 904, 940, 943, 948, 953, 957, 970, 997, 1014, 1165, 1222, 1367, 1578, 1598, 1657, 1758, 1839, 1876, 1894, 1912, 1964, 2018, 2184, 2193, 2195, 2209, 2218, 2220, 2222, 2226, 2228, 2229, 2231, 2232, 2241, 2243, 2246, 2251, 2261, 2264, 2265, 2266, 2267, 2269, 2271, 2272, 2274, 2277, 2283, 2285, 2289, 2292, 2298, 2302, 2307, 2308], "shift_backward": [278, 288, 296, 318, 331, 639, 652, 673, 686, 904, 940, 943, 948, 957, 970, 997, 1014, 2210], "shift_forward": [278, 288, 296, 318, 331, 639, 652, 673, 686, 904, 940, 943, 948, 957, 970, 997, 1014, 2210, 2307], "shifted_iv": 445, "shim": 2246, "shini": [1, 1342, 2204], "ship": [2, 8, 22], "shoot": 2204, "short": [2, 22, 29, 31, 259, 890, 1417, 1433, 2184, 2186, 2188, 2197, 2204, 2218, 2220, 2271], "short_capt": [259, 890, 2277], "short_sex": 19, "shortcom": 34, "shortcut": [28, 2185, 2210, 2220, 2261], "shorten": [2207, 2220], "shorter": [2191, 2197, 2243, 2246, 2265, 2272, 2302], "shorthand": [15, 276, 902, 1403, 2185, 2195, 2202, 2207, 2210, 2222], "shortnam": [1443, 2199], "shot": [3, 2261], "should": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 12, 13, 14, 16, 17, 18, 19, 22, 27, 58, 62, 65, 66, 75, 76, 77, 97, 107, 130, 144, 151, 153, 163, 165, 166, 169, 185, 203, 205, 212, 219, 223, 225, 227, 232, 233, 234, 251, 253, 255, 258, 262, 265, 267, 268, 272, 278, 280, 284, 286, 288, 296, 318, 322, 325, 331, 341, 352, 365, 378, 380, 381, 401, 419, 420, 427, 431, 465, 481, 489, 493, 505, 541, 562, 575, 584, 585, 603, 611, 615, 620, 629, 639, 652, 673, 677, 686, 705, 741, 743, 744, 778, 786, 787, 798, 799, 800, 802, 806, 807, 808, 811, 857, 884, 886, 887, 889, 893, 895, 896, 904, 912, 940, 943, 948, 950, 957, 970, 997, 1014, 1031, 1037, 1038, 1040, 1042, 1043, 1044, 1052, 1053, 1056, 1060, 1061, 1064, 1068, 1069, 1071, 1072, 1077, 1118, 1141, 1142, 1146, 1164, 1167, 1168, 1221, 1224, 1225, 1296, 1315, 1332, 1343, 1345, 1363, 1372, 1389, 1390, 1391, 1394, 1395, 1396, 1397, 1398, 1400, 1403, 1404, 1413, 1414, 1416, 1421, 1423, 1430, 1431, 1433, 1435, 1446, 1448, 1454, 1469, 1470, 1473, 1475, 1477, 1480, 1486, 1487, 1488, 1490, 1498, 1741, 2169, 2172, 2173, 2180, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2196, 2197, 2199, 2202, 2205, 2206, 2207, 2208, 2210, 2211, 2212, 2214, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2225, 2226, 2227, 2228, 2230, 2232, 2235, 2238, 2239, 2240, 2241, 2246, 2249, 2260, 2261, 2265, 2271, 2273, 2277, 2283, 2289, 2294, 2298, 2302, 2307, 2308], "shouldn": [13, 2235, 2239, 2265], "show": [0, 1, 2, 3, 5, 10, 13, 15, 16, 17, 18, 19, 26, 91, 96, 101, 134, 137, 142, 144, 147, 148, 149, 153, 177, 178, 182, 185, 186, 188, 189, 190, 192, 195, 205, 255, 359, 360, 376, 380, 402, 406, 408, 413, 587, 588, 619, 699, 709, 713, 724, 725, 726, 755, 756, 760, 762, 764, 765, 766, 770, 778, 897, 1154, 1173, 1188, 1230, 1249, 1309, 1323, 1326, 1328, 1345, 1388, 1391, 1394, 1454, 1458, 1465, 1488, 1490, 1493, 1494, 1495, 1496, 1498, 2167, 2184, 2185, 2186, 2188, 2191, 2193, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2207, 2210, 2211, 2212, 2217, 2218, 2219, 2220, 2223, 2224, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2235, 2236, 2238, 2241, 2246, 2247, 2249, 2254, 2261, 2265, 2271, 2274, 2277, 2278, 2283, 2289, 2294, 2295, 2297, 2298, 2299, 2302, 2303, 2307, 2309], "show_count": [144, 2202, 2277, 2298], "show_dimens": [257, 269, 1345, 1391, 1488, 1490, 2202, 2219, 2220, 2235], "show_vers": [1, 2231, 2283], "showcas": 2207, "showindex": [2271, 2298], "shown": [3, 16, 17, 19, 22, 24, 96, 144, 213, 619, 788, 827, 831, 867, 1280, 1342, 1498, 2185, 2186, 2194, 2196, 2197, 2199, 2200, 2202, 2207, 2210, 2211, 2212, 2228, 2235, 2241, 2249, 2277, 2289, 2304, 2307], "shrink": [2199, 2222], "shuffl": [110, 376, 699, 1388, 2185], "shuffled_df": [160, 738], "shuffler": 2271, "shut": 6, "si": [1489, 2199], "sibl": [24, 25, 28, 29, 32], "sibsp": [24, 25, 28, 29, 32], "side": [6, 15, 18, 27, 96, 213, 241, 272, 383, 420, 445, 446, 447, 448, 453, 454, 459, 460, 462, 463, 464, 475, 788, 799, 822, 847, 849, 852, 860, 863, 868, 874, 1061, 1125, 1126, 1128, 1129, 1130, 1138, 1192, 1253, 1343, 1344, 1345, 1391, 1393, 1433, 1447, 1470, 1487, 1488, 1490, 1497, 2185, 2186, 2187, 2190, 2197, 2199, 2202, 2207, 2208, 2218, 2220, 2222, 2226, 2228, 2231, 2232, 2238, 2239, 2249, 2257, 2265, 2271, 2280, 2283, 2289, 2290, 2294, 2298, 2299], "sides_oth": 2199, "sides_polygon": 2199, "sidewind": [160, 738], "sidnam": 2199, "sigabrt": 2193, "sign": [1, 203, 364, 824, 874, 1110, 1115, 1403, 1499, 2186, 2199, 2209, 2221, 2222, 2241, 2243, 2246, 2277, 2283, 2289, 2294], "signal": [2, 218, 793, 1193, 1254, 1366, 2186, 2188, 2212, 2220], "signatur": [2, 3, 163, 218, 267, 284, 741, 793, 896, 912, 1041, 1069, 1071, 1072, 1148, 1149, 1193, 1203, 1207, 1208, 1254, 1264, 1469, 1486, 2191, 2195, 2197, 2199, 2218, 2220, 2224, 2225, 2228, 2231, 2238, 2241, 2246, 2277, 2289, 2295, 2298, 2302], "signedinteg": 2186, "signifi": [278, 286, 288, 296, 318, 331, 639, 652, 673, 686, 904, 940, 943, 948, 2199], "signific": [1469, 1486, 1498, 2190, 2199, 2206, 2218, 2220, 2221, 2222, 2228, 2249, 2253, 2255, 2257, 2261, 2262, 2265, 2271, 2294, 2298, 2302, 2307], "significant_product": 2195, "significantli": [2, 2163, 2197, 2199, 2200, 2208, 2210, 2211, 2215, 2228, 2235, 2253, 2254, 2255, 2257, 2261, 2262, 2302], "signup": [187, 763], "sigsegv": 2193, "sij": 2199, "silenc": [1498, 2232, 2236, 2241, 2265, 2278, 2294, 2302, 2304], "silent": [190, 193, 212, 766, 768, 787, 1146, 1345, 1391, 1488, 1490, 2185, 2199, 2202, 2207, 2231, 2232, 2241, 2242, 2246, 2265, 2269, 2271, 2283, 2287, 2289, 2294, 2298, 2307, 2308], "silverman": [191, 194, 767, 769], "sim_interact": [1345, 1391, 1488, 1490, 2202], "similar": [2, 3, 6, 10, 13, 14, 15, 16, 17, 18, 19, 21, 23, 25, 30, 31, 32, 77, 80, 83, 103, 104, 105, 106, 110, 138, 146, 153, 160, 169, 193, 233, 234, 247, 256, 259, 261, 262, 263, 280, 306, 307, 308, 309, 361, 362, 386, 419, 420, 427, 575, 590, 592, 594, 625, 626, 627, 628, 658, 659, 660, 661, 714, 720, 738, 768, 786, 799, 807, 808, 832, 880, 888, 890, 893, 931, 976, 977, 978, 979, 980, 981, 1007, 1060, 1061, 1064, 1172, 1190, 1201, 1202, 1229, 1251, 1262, 1263, 1280, 1304, 1306, 1323, 1345, 1391, 1395, 1446, 1447, 1468, 1475, 1488, 1490, 2167, 2184, 2185, 2186, 2188, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2216, 2217, 2218, 2219, 2222, 2225, 2228, 2230, 2231, 2232, 2235, 2238, 2240, 2241, 2246, 2249, 2257, 2271, 2275, 2277, 2283, 2294, 2298], "similarli": [2, 15, 16, 17, 18, 19, 21, 1076, 1344, 1393, 1499, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2201, 2203, 2204, 2207, 2208, 2209, 2210, 2212, 2216, 2217, 2218, 2222, 2226, 2228, 2246, 2249, 2261, 2271, 2283, 2298, 2302], "simpl": [1, 2, 3, 6, 22, 94, 212, 241, 787, 1342, 1406, 1433, 1475, 1498, 2184, 2186, 2193, 2197, 2199, 2204, 2207, 2210, 2211, 2218, 2230, 2267], "simplecach": 2199, "simpler": [13, 2186], "simplest": [16, 17, 19, 2199], "simpli": [1, 2, 3, 10, 15, 16, 17, 18, 19, 34, 62, 81, 504, 615, 2166, 2188, 2190, 2191, 2193, 2194, 2197, 2199, 2201, 2206, 2207, 2214, 2216, 2220, 2223, 2225, 2228, 2230, 2232, 2238, 2241, 2249], "simplic": [3, 10], "simplif": 13, "simplifi": [7, 8, 13, 1415, 2218, 2246], "simul": [1345, 1391, 1488, 1490, 2202], "simultan": [62, 615, 1406, 1433, 2184, 2186, 2220, 2221, 2222, 2225, 2228, 2231, 2241, 2289], "sin": [808, 1368, 1455, 1456, 2193, 2211, 2228], "sinc": [1, 2, 3, 10, 13, 15, 17, 18, 22, 34, 74, 78, 87, 89, 90, 98, 124, 125, 127, 131, 134, 141, 146, 157, 181, 182, 185, 205, 212, 213, 218, 246, 255, 258, 259, 286, 359, 360, 377, 381, 391, 392, 393, 394, 395, 398, 399, 540, 583, 586, 587, 588, 598, 601, 602, 621, 681, 700, 701, 703, 709, 717, 720, 732, 754, 757, 759, 760, 778, 779, 787, 788, 793, 889, 890, 911, 916, 938, 1052, 1082, 1088, 1095, 1099, 1106, 1111, 1152, 1165, 1167, 1170, 1174, 1175, 1191, 1192, 1193, 1196, 1198, 1202, 1207, 1208, 1211, 1222, 1224, 1227, 1242, 1243, 1252, 1253, 1254, 1257, 1259, 1263, 1277, 1280, 1314, 1331, 1400, 1402, 1403, 1404, 1415, 1416, 1423, 1433, 1454, 1469, 1470, 1473, 1475, 1476, 1478, 1486, 1487, 1498, 1499, 1500, 1509, 1527, 1545, 1563, 1583, 1604, 1623, 1640, 1662, 1683, 1704, 1725, 1741, 1744, 1762, 1779, 1798, 1820, 1843, 1860, 1880, 1898, 1916, 1933, 1950, 1968, 1985, 2003, 2022, 2040, 2058, 2076, 2093, 2111, 2130, 2148, 2186, 2187, 2188, 2190, 2191, 2193, 2195, 2197, 2199, 2201, 2207, 2208, 2210, 2212, 2214, 2217, 2218, 2220, 2222, 2228, 2230, 2232, 2235, 2238, 2241, 2246, 2249, 2289, 2298, 2302, 2307], "singl": [2, 3, 4, 6, 7, 16, 17, 19, 21, 23, 25, 29, 30, 32, 62, 63, 69, 72, 73, 78, 80, 83, 90, 101, 109, 111, 114, 118, 121, 122, 123, 129, 132, 134, 135, 138, 159, 160, 161, 162, 169, 171, 173, 175, 187, 188, 189, 192, 195, 197, 199, 202, 204, 206, 215, 216, 217, 218, 220, 221, 222, 228, 233, 234, 240, 241, 244, 253, 258, 259, 267, 268, 274, 275, 281, 322, 341, 356, 357, 426, 449, 467, 490, 491, 562, 581, 582, 586, 592, 594, 602, 615, 633, 677, 696, 697, 709, 714, 724, 738, 763, 764, 765, 770, 793, 807, 815, 816, 821, 856, 873, 876, 886, 889, 890, 896, 957, 970, 997, 1061, 1131, 1146, 1148, 1149, 1152, 1154, 1167, 1183, 1193, 1203, 1207, 1208, 1211, 1224, 1244, 1254, 1264, 1269, 1270, 1304, 1305, 1321, 1322, 1354, 1374, 1389, 1390, 1391, 1395, 1397, 1398, 1400, 1403, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1415, 1418, 1430, 1431, 1434, 1446, 1455, 1469, 1470, 1474, 1475, 1478, 1485, 1486, 1487, 1490, 1500, 2166, 2167, 2184, 2185, 2186, 2188, 2190, 2191, 2195, 2197, 2198, 2202, 2205, 2207, 2209, 2210, 2211, 2212, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2225, 2226, 2228, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2240, 2241, 2246, 2248, 2249, 2250, 2256, 2262, 2265, 2266, 2271, 2272, 2277, 2283, 2284, 2289, 2293, 2294, 2298, 2302, 2307], "single_cpu": 2, "singleblockmanag": [2271, 2298, 2307], "singleton": [2201, 2265, 2267], "singli": [2197, 2220], "singular": [92, 616, 1741, 2209, 2240], "sinh": [2193, 2228], "sio": 2199, "sisetup": 1433, "sit": 0, "site": [4, 22, 2199, 2289], "situat": [278, 286, 331, 686, 904, 1014, 1350, 1498, 2197, 2201, 2210, 2211, 2230, 2235, 2271], "siunitx": 1433, "six": [2186, 2197, 2218], "sizabl": [2193, 2205], "size": [15, 16, 17, 18, 19, 28, 34, 63, 91, 101, 103, 104, 105, 106, 137, 148, 149, 177, 178, 186, 192, 197, 207, 208, 212, 218, 256, 273, 346, 364, 378, 402, 413, 417, 459, 465, 489, 505, 625, 626, 627, 628, 713, 725, 726, 745, 754, 755, 756, 757, 762, 781, 782, 787, 793, 846, 864, 888, 900, 911, 1041, 1063, 1125, 1173, 1188, 1193, 1230, 1242, 1243, 1249, 1254, 1309, 1323, 1326, 1328, 1329, 1330, 1343, 1396, 1421, 1457, 1458, 1460, 1467, 1485, 1499, 2166, 2184, 2186, 2191, 2193, 2194, 2195, 2197, 2199, 2201, 2202, 2205, 2206, 2207, 2211, 2212, 2214, 2215, 2218, 2221, 2222, 2223, 2224, 2226, 2227, 2228, 2230, 2232, 2235, 2236, 2238, 2240, 2242, 2243, 2246, 2248, 2249, 2264, 2265, 2271, 2277, 2283, 2289, 2294, 2295, 2296, 2297, 2298, 2300, 2301, 2302, 2303, 2307], "size_hint": 1388, "sizeabl": [2199, 2294], "sizer": 1388, "sjo": 2199, "skew": [28, 1041, 2186, 2195, 2217, 2219, 2227, 2230, 2239, 2271, 2277, 2278, 2283, 2294, 2298, 2302], "skill": 35, "skip": [2, 3, 5, 13, 22, 44, 1032, 1041, 1145, 1169, 1177, 1182, 1226, 1236, 1241, 1276, 1281, 1373, 1433, 1469, 1470, 1472, 1475, 1486, 2199, 2201, 2209, 2210, 2217, 2224, 2226, 2231, 2233, 2235, 2238, 2243, 2265, 2277, 2289, 2290], "skip_blank_lin": [16, 17, 18, 19, 1469, 1486, 2199, 2203, 2222, 2232, 2235, 2277, 2298], "skip_foot": [2232, 2241, 2255, 2263, 2265], "skip_row": 2226, "skipfoot": [16, 17, 18, 19, 339, 1373, 1374, 1469, 1470, 1486, 2199, 2203, 2232, 2234, 2235, 2241, 2246, 2265, 2298], "skipinitialspac": [16, 17, 18, 19, 1469, 1486, 2199, 2203, 2232, 2235, 2298], "skiplist": 2257, "skipna": [75, 76, 103, 104, 105, 106, 139, 140, 155, 156, 164, 165, 166, 170, 200, 201, 225, 232, 242, 245, 283, 310, 321, 359, 360, 406, 408, 584, 585, 587, 588, 625, 626, 627, 628, 715, 716, 730, 731, 742, 743, 744, 746, 774, 775, 800, 806, 817, 879, 910, 945, 1032, 1041, 1078, 1150, 1151, 1169, 1174, 1175, 1177, 1198, 1209, 1210, 1226, 1231, 1232, 1236, 1259, 1276, 1281, 2186, 2201, 2224, 2238, 2240, 2241, 2246, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2308], "skiprow": [16, 17, 18, 19, 339, 1469, 1470, 1472, 1475, 1486, 2199, 2203, 2218, 2224, 2225, 2231, 2232, 2235, 2246, 2289, 2294, 2298, 2307], "slab": 2219, "slack": [1, 5, 11], "slantdashdot": 2207, "slash": 2199, "slc": 2185, "sleeker": 2216, "sleepingpil": 2217, "slew": 2186, "slice": [3, 21, 25, 31, 34, 89, 124, 125, 141, 160, 218, 240, 276, 382, 383, 425, 426, 440, 445, 459, 466, 491, 492, 493, 506, 601, 700, 701, 705, 717, 735, 738, 793, 816, 865, 902, 1076, 1125, 1183, 1244, 1362, 1380, 1381, 1384, 1395, 1400, 1406, 1413, 1463, 1475, 2184, 2185, 2186, 2188, 2191, 2192, 2194, 2195, 2196, 2198, 2208, 2209, 2212, 2213, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2230, 2231, 2232, 2235, 2236, 2237, 2238, 2246, 2249, 2253, 2261, 2264, 2266, 2267, 2273, 2275, 2277, 2283, 2285, 2286, 2289, 2293, 2297, 2298, 2300, 2302, 2304, 2307], "slice_": 2207, "slice_index": [2185, 2197, 2289, 2298, 2302], "slice_loc": [491, 493, 2185, 2197, 2277, 2289, 2298], "slice_obj": [2185, 2197], "slice_replac": [864, 2208, 2225], "slice_shift": [2220, 2277, 2298], "sliceabl": 1343, "sliced1": 10, "sliced2": 10, "slicer": [285, 913, 2197, 2213, 2228, 2231, 2265, 2302], "slide": [21, 35, 2212], "slight": [3, 2195], "slightli": [3, 13, 203, 862, 866, 1387, 2185, 2197, 2199, 2217, 2228, 2277, 2294], "slinear": [146, 720, 1280, 2218], "sln": 2191, "sloper": 25, "slow": [2, 22, 1345, 1391, 1488, 1490, 1492, 1498, 2186, 2193, 2199, 2202, 2217, 2222, 2232, 2238, 2241, 2253, 2307], "slower": [1152, 1211, 2193, 2197, 2199, 2202, 2210, 2218, 2228], "slshape": 1433, "sm": [1275, 2186, 2210, 2227, 2232, 2307], "small": [3, 13, 16, 17, 18, 19, 29, 111, 185, 190, 191, 194, 754, 757, 766, 767, 769, 1242, 1243, 1454, 2185, 2186, 2193, 2195, 2199, 2205, 2207, 2210, 2216, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2228, 2230, 2232, 2233, 2234, 2236, 2237, 2239, 2241, 2242, 2243, 2245, 2249, 2271, 2277, 2283, 2289, 2294, 2298, 2302], "smaller": [0, 94, 144, 268, 745, 1345, 1391, 1488, 1490, 1499, 2186, 2188, 2193, 2202, 2207, 2208, 2210, 2211, 2243, 2249], "smallest": [176, 179, 360, 588, 754, 757, 1191, 1194, 1242, 1243, 1252, 1255, 1499, 2199, 2205, 2235, 2246, 2264, 2294], "smallint": [2199, 2307], "smart": [22, 2186, 2277], "smartli": 2289, "sme": [2210, 2307], "smith": [16, 17, 19, 281], "smoker": [16, 18, 19], "smoker_mean": 16, "smooth": [121, 696, 2201, 2212], "smoother": [2231, 2232], "smorgasbord": 2210, "smp": 1491, "sn": 2207, "snail": [188, 189, 764, 765], "snake": [205, 211, 421, 778, 836, 837, 838, 839, 840, 841, 842, 843, 844, 1161, 1218], "snap": [2210, 2249], "snappi": [256, 263, 888, 2199, 2236, 2294, 2302], "snapshot": 13, "sniff": 2253, "sniffer": [1469, 1486, 2199, 2253], "snippet": [3, 2184, 2190, 2199], "so": [1, 2, 3, 4, 5, 6, 8, 9, 10, 12, 13, 15, 16, 17, 19, 23, 24, 27, 29, 30, 32, 34, 44, 79, 85, 98, 188, 189, 195, 197, 212, 240, 262, 263, 281, 326, 346, 376, 425, 436, 445, 573, 591, 596, 617, 621, 680, 699, 754, 757, 764, 765, 770, 779, 787, 816, 908, 923, 1042, 1043, 1069, 1071, 1072, 1114, 1152, 1204, 1211, 1242, 1243, 1387, 1388, 1406, 1415, 1416, 1421, 1433, 1459, 1462, 1464, 1469, 1475, 1482, 1483, 1486, 1499, 2167, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2201, 2204, 2205, 2207, 2208, 2210, 2211, 2212, 2215, 2217, 2218, 2220, 2222, 2225, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2239, 2241, 2242, 2246, 2249, 2253, 2261, 2264, 2265, 2271, 2272, 2278, 2283, 2289, 2294, 2298, 2302, 2307, 2308], "social": [13, 34, 2188], "sock": [16, 17, 18, 19, 2199, 2235], "socket": [16, 17, 18, 19, 2199, 2217, 2235], "soft": [143, 719, 2186, 2238, 2241], "softwar": [17, 21, 23, 29, 34, 2193], "sold": [2195, 2238], "sole": [12, 1432, 2187, 2188], "solid": [1348, 1400, 2207], "solut": [2, 29, 30, 250, 883, 1415, 1422, 2186, 2190, 2193, 2194, 2199, 2291], "solv": [1, 2, 1354, 1498, 2190, 2250, 2265], "some": [1, 2, 3, 4, 5, 6, 7, 10, 12, 13, 15, 16, 17, 19, 20, 21, 23, 24, 26, 31, 34, 35, 91, 134, 137, 141, 146, 182, 186, 195, 207, 212, 276, 278, 331, 376, 428, 434, 568, 586, 617, 686, 699, 709, 717, 720, 760, 762, 770, 781, 787, 808, 818, 824, 873, 902, 904, 1031, 1094, 1119, 1120, 1141, 1143, 1173, 1188, 1202, 1249, 1263, 1345, 1379, 1388, 1391, 1433, 1458, 1469, 1470, 1475, 1478, 1486, 1488, 1490, 1498, 1793, 1815, 2166, 2167, 2168, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2202, 2203, 2204, 2205, 2207, 2208, 2210, 2211, 2212, 2214, 2216, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2245, 2246, 2248, 2249, 2250, 2257, 2260, 2261, 2263, 2265, 2266, 2272, 2273, 2274, 2277, 2278, 2283, 2286, 2289, 2291, 2293, 2294, 2298, 2302, 2305, 2307, 2308], "some_file_obj": 2294, "some_highlight": 1415, "someclass1": 2, "someclass2": 2, "somet": 2195, "someth": [1, 2, 3, 4, 13, 22, 24, 34, 151, 853, 861, 1078, 1491, 2185, 2186, 2191, 2194, 2195, 2197, 2199, 2217, 2229], "sometim": [0, 3, 5, 13, 14, 1121, 1415, 2185, 2187, 2195, 2197, 2199, 2207, 2210, 2212, 2219, 2246, 2249, 2277, 2279, 2283, 2289, 2294, 2298, 2302], "somewhat": [2185, 2186, 2192, 2199, 2205, 2218], "somewher": 13, "soon": [5, 13, 2190, 2199], "sophist": [16, 19, 2185, 2191, 2205], "sort": [6, 12, 30, 39, 74, 80, 127, 134, 153, 157, 169, 176, 179, 185, 233, 234, 241, 248, 279, 281, 345, 361, 362, 367, 376, 389, 404, 420, 425, 427, 429, 434, 435, 436, 478, 485, 486, 487, 488, 502, 573, 583, 589, 592, 699, 703, 709, 732, 748, 754, 757, 799, 807, 808, 812, 815, 881, 905, 906, 908, 1042, 1044, 1051, 1061, 1146, 1204, 1242, 1243, 1265, 1266, 1343, 1388, 1446, 1447, 1454, 1461, 2163, 2166, 2172, 2184, 2196, 2197, 2199, 2200, 2201, 2204, 2205, 2206, 2210, 2214, 2215, 2218, 2220, 2222, 2224, 2225, 2226, 2229, 2231, 2232, 2234, 2235, 2237, 2238, 2242, 2246, 2248, 2249, 2250, 2257, 2264, 2265, 2274, 2275, 2277, 2283, 2287, 2289, 2292, 2293, 2294, 2295, 2298, 2299, 2301, 2302, 2304, 2308], "sort_categori": [1117, 2188], "sort_column": [2259, 2294, 2298], "sort_index": [29, 234, 808, 2184, 2185, 2186, 2188, 2197, 2199, 2204, 2210, 2218, 2219, 2220, 2222, 2224, 2226, 2228, 2229, 2231, 2238, 2241, 2242, 2249, 2253, 2255, 2257, 2264, 2265, 2271, 2277, 2280, 2283, 2289, 2298, 2304, 2307, 2308], "sort_label": [815, 1461, 2206, 2225, 2235], "sort_remain": [233, 502, 807, 2220], "sort_valu": [15, 16, 17, 18, 19, 29, 30, 61, 176, 179, 233, 361, 420, 614, 754, 757, 799, 807, 1242, 1243, 2184, 2186, 2188, 2195, 2222, 2228, 2231, 2232, 2235, 2237, 2238, 2241, 2246, 2260, 2265, 2271, 2274, 2277, 2283, 2289, 2290, 2295, 2298, 2299, 2300, 2302, 2307], "sortabl": [39, 49, 2199, 2283], "sorted": [12, 478, 485, 486, 487, 488], "sorted_df": [16, 17, 18, 19], "sorted_index": [427, 502], "sorter": [420, 799, 1061, 2186, 2231], "sortlevel": [2225, 2226, 2228, 2235, 2246, 2253, 2302], "sortord": [478, 485, 486, 487, 488, 2249, 2265, 2289], "soto": 32, "sought": [401, 2197], "sound": 0, "soup": [1475, 2249], "sourc": [0, 1, 2, 4, 5, 6, 8, 10, 13, 16, 17, 19, 21, 24, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 441, 442, 443, 444, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 509, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 1027, 1028, 1029, 1030, 1031, 1032, 1033, 1034, 1035, 1036, 1037, 1038, 1039, 1040, 1041, 1042, 1043, 1044, 1045, 1046, 1047, 1048, 1049, 1050, 1051, 1052, 1053, 1054, 1055, 1056, 1057, 1058, 1059, 1060, 1061, 1062, 1063, 1064, 1065, 1066, 1067, 1068, 1069, 1070, 1071, 1072, 1073, 1074, 1075, 1076, 1077, 1079, 1081, 1082, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1093, 1094, 1095, 1097, 1099, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1346, 1347, 1348, 1349, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 1385, 1386, 1387, 1388, 1389, 1390, 1392, 1393, 1394, 1395, 1396, 1397, 1398, 1399, 1400, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1430, 1431, 1432, 1433, 1434, 1435, 1436, 1437, 1438, 1439, 1440, 1441, 1442, 1443, 1444, 1445, 1446, 1447, 1448, 1449, 1450, 1451, 1452, 1453, 1454, 1455, 1456, 1457, 1458, 1459, 1460, 1461, 1463, 1464, 1465, 1466, 1467, 1468, 1469, 1470, 1471, 1472, 1473, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1489, 1491, 1492, 1493, 1494, 1495, 1496, 1497, 1498, 1499, 1500, 2163, 2164, 2165, 2166, 2186, 2195, 2199, 2203, 2210, 2226, 2229, 2232, 2233, 2238, 2241, 2243, 2248, 2265, 2270, 2273, 2283], "source_address": [16, 17, 18, 19, 2199, 2235], "southern": 2199, "sox": 1444, "sp": 2231, "sp_arr": [2206, 2235], "sp_valu": [809, 1142, 2232, 2242], "spa_dtyp": 811, "space": [0, 1, 3, 16, 17, 19, 146, 191, 194, 203, 262, 263, 269, 720, 767, 769, 828, 829, 853, 861, 873, 1280, 1344, 1393, 1403, 1434, 1455, 1456, 1463, 1469, 1486, 1497, 2185, 2193, 2199, 2205, 2207, 2209, 2210, 2211, 2215, 2217, 2220, 2222, 2224, 2225, 2226, 2230, 2236, 2241, 2243, 2246, 2249, 2271, 2272, 2277, 2294, 2301], "spam": [0, 341, 1184], "span": [121, 218, 513, 515, 535, 696, 793, 857, 1141, 1142, 1423, 2167, 2186, 2196, 2207, 2212, 2228, 2235, 2239, 2261, 2264, 2273, 2283], "spark": 2199, "sparr": 2206, "spars": [3, 259, 262, 890, 905, 914, 1090, 1111, 1142, 1345, 1390, 1391, 1432, 1433, 1434, 1488, 1490, 2172, 2186, 2191, 2196, 2202, 2213, 2218, 2220, 2222, 2226, 2228, 2230, 2242, 2262, 2273, 2290, 2295], "sparse_arrai": 2246, "sparse_column": [1432, 1433, 1434, 2289], "sparse_index": [1142, 1432, 1433, 1434, 2246, 2289], "sparse_onli": [2235, 2246], "sparsearari": 2246, "sparsearrai": [3, 236, 237, 238, 239, 810, 813, 814, 914, 1056, 1081, 1111, 1390, 2167, 2186, 2191, 2196, 2217, 2218, 2229, 2231, 2232, 2235, 2238, 2241, 2242, 2246, 2249, 2256, 2265, 2271, 2276, 2283, 2289, 2294, 2298, 2302, 2307], "sparseblock": 2218, "sparsedatafarm": 2232, "sparsedatafram": [2218, 2226, 2228, 2231, 2232, 2236, 2238, 2241, 2246, 2249, 2265, 2298], "sparsedtyp": [811, 1111, 1142, 2167, 2186, 2196, 2246, 2271, 2293, 2294, 2298, 2302], "sparsefram": 2249, "sparseindex": 1142, "sparselist": [2217, 2232, 2241, 2256], "sparsepanel": [2218, 2225, 2228, 2232], "sparseseri": [2214, 2218, 2225, 2227, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2253, 2256, 2265, 2298], "sparsespars": 809, "sparsetimeseri": 2235, "sparsif": [2283, 2289], "sparsifi": [257, 259, 269, 890, 1345, 1391, 1432, 1433, 1434, 1488, 1490, 2185, 2199, 2202, 2232, 2246], "speak": [2186, 2208], "spearman": [99, 100, 622, 1155, 1156, 1213, 2246, 2256, 2265, 2283, 2287, 2294, 2295], "spec": [1475, 2199, 2207, 2219, 2235, 2271, 2294], "speci": [150, 172, 197, 211, 214, 418, 421, 2211], "special": [16, 17, 19, 22, 32, 34, 62, 144, 185, 203, 212, 259, 568, 615, 787, 824, 836, 837, 838, 839, 840, 841, 842, 843, 844, 866, 874, 890, 1078, 1345, 1387, 1391, 1394, 1403, 1404, 1454, 1469, 1486, 1487, 1488, 1490, 2186, 2188, 2194, 2195, 2199, 2201, 2202, 2210, 2212, 2214, 2220, 2226, 2230, 2232, 2234, 2238, 2241, 2246, 2249, 2255, 2257, 2283, 2291, 2302], "specialis": [62, 615], "specif": [0, 1, 3, 4, 9, 10, 13, 17, 18, 21, 22, 26, 28, 29, 30, 31, 32, 34, 46, 82, 92, 111, 112, 116, 120, 130, 131, 169, 188, 189, 219, 240, 266, 277, 278, 345, 482, 494, 509, 532, 593, 616, 764, 765, 789, 816, 903, 904, 1114, 1146, 1152, 1211, 1343, 1345, 1391, 1396, 1403, 1404, 1406, 1414, 1419, 1421, 1423, 1424, 1433, 1446, 1469, 1470, 1472, 1476, 1482, 1486, 1487, 1488, 1490, 1499, 1506, 1524, 1542, 1560, 1741, 1793, 1815, 1857, 1982, 2000, 2036, 2054, 2090, 2108, 2127, 2145, 2167, 2169, 2180, 2184, 2185, 2186, 2188, 2191, 2194, 2196, 2197, 2200, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2214, 2216, 2218, 2220, 2222, 2226, 2228, 2230, 2232, 2235, 2238, 2239, 2241, 2242, 2246, 2249, 2265, 2271, 2277, 2283, 2289, 2294, 2298], "specifi": [2, 3, 5, 8, 17, 18, 22, 25, 40, 41, 46, 50, 53, 58, 59, 60, 61, 62, 72, 73, 74, 75, 76, 79, 82, 83, 88, 89, 91, 92, 102, 111, 121, 122, 123, 124, 125, 126, 130, 134, 137, 138, 139, 140, 144, 145, 146, 153, 155, 156, 160, 163, 164, 165, 166, 167, 168, 169, 170, 176, 179, 180, 184, 185, 186, 188, 189, 190, 191, 192, 194, 195, 196, 202, 203, 207, 209, 210, 212, 213, 214, 218, 219, 225, 227, 230, 232, 233, 234, 242, 251, 252, 253, 256, 257, 258, 259, 266, 267, 268, 276, 283, 284, 285, 288, 291, 296, 314, 316, 318, 322, 325, 328, 331, 339, 341, 345, 346, 354, 356, 357, 364, 377, 401, 423, 430, 431, 433, 435, 436, 475, 482, 490, 502, 532, 533, 541, 562, 573, 575, 581, 582, 583, 584, 585, 591, 593, 594, 600, 601, 605, 608, 611, 612, 613, 614, 615, 616, 617, 633, 639, 643, 652, 667, 670, 673, 677, 686, 696, 697, 698, 700, 701, 702, 709, 713, 714, 720, 730, 731, 738, 741, 742, 743, 744, 745, 746, 762, 764, 765, 766, 767, 769, 770, 771, 776, 783, 784, 787, 788, 789, 793, 794, 800, 802, 804, 806, 807, 817, 821, 823, 827, 833, 849, 856, 862, 863, 865, 866, 867, 868, 873, 874, 884, 886, 888, 889, 890, 893, 896, 902, 908, 910, 911, 912, 913, 914, 929, 940, 943, 948, 950, 952, 962, 983, 990, 997, 1040, 1052, 1118, 1121, 1138, 1141, 1142, 1145, 1148, 1149, 1154, 1158, 1167, 1168, 1173, 1174, 1175, 1183, 1188, 1192, 1193, 1198, 1202, 1203, 1207, 1208, 1224, 1225, 1230, 1244, 1249, 1253, 1254, 1264, 1269, 1270, 1271, 1272, 1274, 1275, 1280, 1304, 1305, 1306, 1314, 1321, 1322, 1323, 1331, 1342, 1343, 1344, 1345, 1382, 1383, 1389, 1391, 1393, 1394, 1397, 1403, 1404, 1406, 1416, 1421, 1430, 1431, 1433, 1445, 1446, 1452, 1453, 1454, 1466, 1469, 1470, 1474, 1475, 1478, 1482, 1483, 1484, 1486, 1487, 1488, 1490, 1493, 1494, 1495, 1496, 1497, 1498, 1499, 1500, 1657, 1677, 1699, 1720, 1741, 1793, 1815, 2166, 2167, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2197, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2230, 2231, 2232, 2233, 2234, 2235, 2237, 2239, 2241, 2242, 2246, 2249, 2250, 2261, 2263, 2264, 2265, 2266, 2275, 2277, 2278, 2279, 2283, 2289, 2292, 2294, 2295, 2296, 2298, 2302, 2303, 2307], "specificationerror": [2249, 2271, 2283, 2294], "spectral": 2212, "sped": [2241, 2254, 2257], "speed": [2, 4, 13, 22, 35, 111, 134, 188, 189, 214, 268, 271, 345, 568, 617, 633, 709, 764, 765, 899, 1259, 1264, 1387, 1469, 1485, 1486, 1498, 2188, 2193, 2195, 2199, 2205, 2210, 2219, 2225, 2228, 2231, 2246, 2249, 2253, 2254, 2255, 2256, 2257, 2261, 2271, 2277], "speedup": [22, 77, 385, 711, 2186, 2193, 2195, 2218, 2219, 2238, 2249, 2257, 2290, 2307], "spell": 2241, "spend": [2186, 2193], "spent": 2193, "sphinx": [2, 3, 4, 6], "spider": [147, 164, 170, 172, 205, 223, 245, 742, 746, 778, 798, 879], "spill": 2226, "spin": 6, "spline": [146, 720, 1280, 2201, 2218], "split": [15, 16, 17, 18, 19, 21, 28, 31, 32, 34, 121, 134, 188, 252, 258, 428, 462, 463, 464, 696, 698, 709, 764, 818, 821, 834, 845, 853, 861, 862, 889, 1128, 1129, 1130, 1152, 1187, 1211, 1248, 1469, 1476, 1486, 2184, 2186, 2196, 2199, 2204, 2205, 2210, 2211, 2214, 2217, 2218, 2220, 2222, 2223, 2226, 2227, 2232, 2235, 2238, 2239, 2241, 2246, 2265, 2283, 2284, 2289, 2294, 2298, 2299, 2301, 2302, 2306], "split_protocol": 2199, "splitter": 2188, "spmatrix": [237, 238, 2235], "sponsor": [34, 2229], "spooledtemporaryfil": [2286, 2289], "sport": 2221, "spot": 2199, "spous": [24, 25, 28, 29, 32], "spreadsheet": [20, 21, 23, 24, 29, 34, 167, 185, 241, 266, 1444, 1445, 1454, 2166, 2191, 2196, 2204, 2220, 2271, 2283, 2307], "spring": [2210, 2211], "sprinkl": 2186, "sprint": 2241, "spss": [22, 1481, 2172, 2196, 2249, 2298], "spss_data": [1481, 2199], "spuriou": [2217, 2225, 2226, 2230, 2238, 2293, 2307, 2309], "spx": [1185, 1246, 1288], "sql": [16, 19, 20, 21, 23, 24, 30, 34, 131, 134, 169, 256, 262, 263, 265, 267, 709, 888, 895, 896, 1345, 1353, 1391, 1446, 1448, 1473, 1479, 1482, 1483, 1484, 1488, 1490, 2172, 2184, 2188, 2191, 2192, 2195, 2196, 2197, 2200, 2201, 2202, 2213, 2217, 2218, 2223, 2224, 2225, 2228, 2230, 2232, 2238, 2246, 2261, 2263, 2271, 2277, 2283, 2298, 2307], "sql_db": 2199, "sql_schema": 2224, "sqlalchemi": [2, 22, 267, 896, 1345, 1391, 1482, 1483, 1484, 1488, 1490, 2202, 2220, 2224, 2225, 2228, 2232, 2241, 2249, 2265, 2271, 2277, 2283, 2289, 2290, 2294, 2297, 2298, 2302, 2307], "sqlite": [22, 267, 896, 1482, 1483, 1484, 2220, 2230, 2241, 2271, 2303, 2304, 2307], "sqlite3": [267, 896, 1353, 1482, 1483, 2199, 2220, 2290], "sqlite_dbapi": 2199, "sqlitet": 2294, "sqltabl": 2199, "sqrt": [68, 77, 273, 577, 900, 1455, 2186, 2193, 2228, 2283, 2289], "squar": [23, 25, 69, 109, 129, 162, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 272, 274, 275, 445, 586, 1487, 2186, 2199, 2211, 2227, 2255, 2283, 2294], "squash": 2241, "squeez": [2216, 2217, 2222, 2229, 2230, 2235, 2238, 2271, 2277, 2289, 2298, 2302], "src": [2199, 2203, 2230, 2298], "ss": [341, 812, 815, 983, 2206, 2225], "ss_dens": 2206, "ssh": [1, 13, 2199, 2271], "ssl": [16, 17, 18, 19, 2199, 2235, 2294], "st": [2, 2199], "stabil": [2220, 2277], "stabl": [1, 13, 233, 234, 589, 807, 808, 1044, 1143, 2172, 2197, 2218, 2220, 2221, 2222, 2228, 2238, 2242, 2277, 2283, 2307, 2308], "stack": [15, 22, 34, 96, 184, 186, 187, 188, 189, 279, 619, 762, 763, 764, 765, 1188, 1249, 1387, 1453, 2193, 2195, 2196, 2200, 2211, 2218, 2220, 2222, 2224, 2228, 2230, 2231, 2232, 2236, 2238, 2241, 2242, 2246, 2253, 2255, 2257, 2260, 2265, 2274, 2277, 2283, 2289, 2303, 2307], "stacklevel": [2, 2184, 2197, 2199, 2205, 2246, 2284, 2293], "stackoverflow": [0, 13, 68, 577], "staff": [251, 884], "stage": [1, 2, 13, 34, 2230], "stai": [428, 636, 818], "stall": 13, "stamp": [320, 2210, 2220, 2241], "stamp_arrai": 2261, "stand": [445, 1475, 2210, 2240, 2308], "standard": [4, 8, 11, 12, 15, 23, 26, 31, 98, 99, 100, 107, 225, 242, 251, 267, 321, 322, 532, 562, 621, 622, 629, 662, 677, 681, 682, 683, 800, 817, 824, 827, 830, 835, 845, 853, 858, 859, 861, 862, 866, 867, 871, 884, 896, 1068, 1155, 1156, 1164, 1195, 1199, 1213, 1221, 1256, 1260, 1292, 1294, 1299, 1301, 1303, 1316, 1318, 1333, 1335, 1339, 1387, 1423, 1469, 1470, 1473, 1486, 1491, 1502, 1506, 1524, 1542, 1560, 1620, 1637, 1699, 1720, 1741, 1758, 1776, 1793, 1815, 1839, 1876, 1894, 1912, 1930, 1947, 1964, 1982, 2000, 2018, 2127, 2145, 2184, 2185, 2186, 2191, 2193, 2195, 2196, 2197, 2199, 2202, 2207, 2210, 2211, 2212, 2218, 2221, 2223, 2225, 2226, 2227, 2228, 2231, 2232, 2235, 2238, 2249, 2250, 2254, 2255, 2257, 2265, 2271, 2277, 2289, 2294, 2302], "star": 3, "start": [0, 2, 3, 8, 9, 10, 13, 15, 22, 23, 29, 31, 35, 36, 79, 86, 91, 97, 133, 152, 160, 187, 203, 208, 209, 213, 249, 251, 253, 257, 258, 260, 263, 265, 268, 269, 270, 272, 286, 291, 292, 294, 306, 308, 314, 316, 330, 332, 341, 345, 352, 353, 423, 425, 426, 437, 459, 460, 468, 476, 477, 491, 493, 506, 510, 511, 513, 515, 519, 529, 531, 533, 535, 541, 549, 561, 563, 568, 569, 591, 620, 643, 644, 646, 651, 658, 660, 667, 670, 676, 685, 688, 708, 738, 763, 782, 788, 823, 827, 830, 835, 850, 857, 858, 859, 862, 864, 865, 866, 867, 882, 884, 886, 889, 892, 895, 898, 976, 978, 980, 1073, 1126, 1132, 1139, 1145, 1172, 1201, 1202, 1203, 1229, 1262, 1263, 1264, 1272, 1275, 1280, 1344, 1372, 1392, 1393, 1394, 1403, 1431, 1452, 1458, 1469, 1470, 1471, 1474, 1475, 1476, 1478, 1479, 1485, 1486, 1487, 1497, 1498, 1506, 1511, 1514, 1516, 1524, 1529, 1532, 1534, 1542, 1547, 1550, 1552, 1560, 1565, 1568, 1570, 1578, 1585, 1588, 1590, 1598, 1606, 1609, 1611, 1620, 1625, 1628, 1630, 1637, 1642, 1645, 1647, 1657, 1664, 1667, 1669, 1677, 1685, 1688, 1690, 1699, 1706, 1709, 1711, 1727, 1730, 1732, 1741, 1746, 1749, 1751, 1764, 1767, 1769, 1776, 1781, 1784, 1786, 1793, 1800, 1803, 1805, 1815, 1822, 1825, 1827, 1845, 1848, 1850, 1857, 1862, 1865, 1867, 1882, 1885, 1887, 1900, 1903, 1905, 1918, 1921, 1923, 1930, 1935, 1938, 1940, 1947, 1952, 1955, 1957, 1970, 1973, 1975, 1982, 1987, 1990, 1992, 2000, 2005, 2008, 2010, 2024, 2027, 2029, 2036, 2042, 2045, 2047, 2054, 2060, 2063, 2065, 2078, 2081, 2083, 2090, 2095, 2098, 2100, 2108, 2113, 2116, 2118, 2127, 2132, 2135, 2137, 2145, 2150, 2153, 2155, 2166, 2185, 2186, 2190, 2191, 2195, 2196, 2197, 2199, 2201, 2205, 2207, 2208, 2209, 2212, 2215, 2216, 2217, 2218, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2236, 2238, 2239, 2241, 2242, 2243, 2245, 2246, 2248, 2249, 2257, 2265, 2271, 2274, 2277, 2278, 2289, 2294, 2296, 2298, 2302, 2307], "start_dai": [213, 345, 788, 2210, 2271], "start_dat": 2210, "start_slic": [2185, 2197], "start_tim": [88, 301, 513, 515, 519, 529, 535, 549, 600, 651, 2271], "startcol": [253, 341, 886, 1431], "startingmonth": [1506, 1517, 1524, 1535, 1553, 1571, 1591, 1612, 1631, 1648, 1670, 1691, 1712, 1733, 1752, 1770, 1787, 1793, 1806, 1815, 1828, 1851, 1868, 1888, 1906, 1924, 1941, 1958, 1976, 1982, 1993, 2000, 2011, 2030, 2048, 2066, 2084, 2101, 2119, 2138, 2156, 2230], "startrow": [253, 886, 1431], "startswith": [26, 823, 827, 2197, 2199, 2203, 2208, 2226, 2232, 2249, 2274, 2294, 2307], "startup": [2196, 2236], "stash": 1, "stat": [191, 194, 223, 767, 769, 798, 1309, 1317, 1326, 1334, 1433, 2172, 2218, 2220, 2230, 2235, 2256, 2257, 2263], "stata": [20, 21, 268, 1349, 1360, 1386, 1485, 2172, 2188, 2196, 2217, 2218, 2220, 2221, 2222, 2223, 2224, 2225, 2228, 2232, 2241, 2242, 2246, 2249, 2265, 2271, 2302], "statamissingvalu": [1485, 2199, 2222], "stataread": [1349, 1485, 2199, 2221, 2222, 2224, 2225, 2230, 2232, 2235, 2239, 2241, 2242, 2246, 2249, 2265, 2271, 2275, 2298], "statawrit": [268, 2199, 2220, 2221, 2222, 2224, 2226, 2232, 2234, 2235, 2246, 2271, 2289, 2294], "statawriter117": [268, 2241, 2246, 2271, 2289], "statawriterutf8": [2265, 2271, 2289, 2294], "state": [1, 2, 486, 1397, 1430, 1443, 1459, 1473, 2197, 2199, 2205, 2212, 2235, 2249, 2271, 2294], "statement": [13, 16, 17, 18, 19, 25, 32, 1387, 1451, 2190, 2193, 2196, 2199, 2201, 2211, 2220, 2224, 2230, 2271, 2277], "statest": 2199, "static": [2, 2193, 2220], "staticmethod": 10, "station": [26, 27, 29, 30, 31, 2199, 2218], "station_antwerp": [26, 27], "station_id": 2199, "station_london": [26, 27], "station_nam": 2199, "station_numb": 2218, "station_pari": [26, 27], "stations_coord": 30, "statist": [21, 22, 23, 30, 31, 33, 34, 35, 39, 107, 144, 191, 194, 573, 629, 767, 769, 1164, 1221, 1272, 1275, 1400, 1433, 1457, 2184, 2188, 2194, 2195, 2196, 2201, 2204, 2207, 2211, 2212, 2218, 2220, 2227, 2230, 2255], "statsmodel": [34, 2186, 2227, 2235], "statu": [1, 6, 2199, 2219, 2307], "std": [15, 23, 28, 72, 73, 107, 192, 218, 581, 582, 629, 793, 1004, 1012, 1041, 1164, 1203, 1221, 1264, 1269, 1270, 1296, 1304, 1321, 1338, 1340, 1341, 1433, 2184, 2185, 2186, 2193, 2195, 2199, 2204, 2210, 2211, 2212, 2217, 2218, 2219, 2220, 2222, 2225, 2227, 2230, 2232, 2235, 2257, 2260, 2265, 2267, 2271, 2275, 2277, 2283, 2289, 2294, 2298, 2302], "stderr": [2, 1473, 2193, 2241, 2307], "stdin": [2199, 2289], "stdlib": [16, 17, 18, 19, 258, 889, 1498, 2199, 2235], "stdout": [144, 1345, 2232, 2246], "stdtype": 2208, "steer": 2261, "stem": 2298, "step": [1, 6, 8, 9, 11, 13, 16, 22, 28, 29, 44, 62, 86, 209, 218, 425, 426, 568, 569, 615, 793, 864, 1073, 1193, 1254, 1433, 2184, 2185, 2186, 2188, 2190, 2193, 2195, 2197, 2199, 2207, 2210, 2212, 2220, 2221, 2224, 2226, 2228, 2230, 2238, 2249, 2271, 2277, 2289, 2294, 2298, 2302, 2307], "stepsiz": 2306, "sterl": 2248, "steve": 2260, "stick": [16, 17, 18, 19, 1419, 2207], "sticki": [1419, 2192, 2285], "stiff": 2211, "still": [0, 2, 10, 13, 17, 25, 95, 97, 98, 117, 119, 494, 571, 618, 620, 621, 693, 695, 1031, 1146, 1345, 1391, 1468, 1469, 1470, 1471, 1472, 1475, 1476, 1477, 1478, 1481, 1482, 1483, 1484, 1486, 1487, 1488, 1490, 1498, 1499, 2185, 2186, 2188, 2190, 2193, 2197, 2199, 2201, 2202, 2207, 2208, 2210, 2211, 2217, 2218, 2220, 2224, 2225, 2226, 2228, 2231, 2232, 2233, 2235, 2238, 2240, 2243, 2246, 2249, 2261, 2263, 2265, 2271, 2277, 2279, 2280, 2283, 2289, 2294, 2295, 2298, 2299, 2302, 2304, 2307], "stint": [2191, 2197, 2231], "stipul": [267, 896], "stmt": [267, 896], "stock": [182, 760, 1433, 2216], "stockholm": [1012, 1014, 1397, 1430], "stop": [2, 6, 9, 13, 34, 86, 160, 182, 209, 352, 568, 569, 738, 760, 864, 865, 1474, 1486, 2185, 2197, 2199, 2210, 2214, 2215, 2216, 2220, 2223, 2225, 2226, 2230, 2232, 2236, 2241, 2249, 2271, 2274, 2290, 2292, 2294, 2298], "stopiter": [2222, 2231], "storag": [9, 10, 22, 168, 251, 253, 258, 260, 263, 265, 268, 272, 341, 348, 884, 886, 889, 892, 895, 915, 1031, 1064, 1142, 1345, 1391, 1431, 1469, 1470, 1471, 1473, 1475, 1476, 1478, 1479, 1485, 1486, 1487, 1488, 1490, 2185, 2188, 2191, 2199, 2202, 2203, 2218, 2226, 2228, 2246, 2249, 2271, 2277, 2283, 2298, 2302], "storage_opt": [16, 17, 18, 19, 251, 253, 258, 260, 263, 265, 268, 272, 337, 341, 884, 886, 889, 892, 895, 1431, 1469, 1470, 1471, 1475, 1476, 1478, 1479, 1485, 1486, 1487, 2184, 2199, 2203, 2205, 2232, 2235, 2277, 2283, 2289, 2298, 2302], "store": [1, 5, 10, 11, 21, 23, 24, 25, 28, 29, 30, 32, 34, 46, 49, 115, 185, 227, 237, 238, 239, 256, 258, 262, 263, 265, 266, 267, 268, 286, 341, 346, 347, 348, 349, 350, 351, 352, 353, 354, 459, 501, 568, 573, 590, 705, 802, 811, 812, 815, 888, 889, 893, 895, 896, 914, 938, 953, 1031, 1057, 1118, 1141, 1142, 1343, 1351, 1376, 1454, 1462, 1467, 1470, 1471, 1474, 1479, 1480, 1485, 1499, 2167, 2169, 2174, 2180, 2184, 2185, 2186, 2188, 2191, 2192, 2194, 2195, 2197, 2198, 2202, 2204, 2205, 2206, 2208, 2210, 2214, 2215, 2216, 2217, 2218, 2224, 2225, 2227, 2228, 2229, 2230, 2232, 2235, 2238, 2241, 2249, 2257, 2261, 2265, 2277, 2302, 2307], "store1": 2218, "store2": 2218, "store_1": [2195, 2238], "store_2": [2195, 2238], "store_compress": 2199, "store_iter": 2217, "store_tl": 2199, "stori": 32, "str": [2, 3, 9, 16, 17, 19, 27, 32, 70, 71, 72, 73, 78, 79, 80, 81, 82, 84, 88, 91, 113, 120, 121, 122, 123, 126, 127, 131, 137, 144, 145, 146, 147, 152, 153, 157, 162, 169, 179, 182, 184, 185, 186, 188, 189, 190, 191, 192, 193, 194, 195, 197, 203, 207, 209, 210, 211, 212, 213, 214, 218, 223, 230, 233, 234, 241, 247, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 272, 273, 276, 277, 278, 279, 282, 286, 288, 291, 296, 300, 301, 314, 318, 322, 326, 328, 330, 331, 334, 337, 341, 345, 346, 347, 349, 350, 351, 352, 353, 354, 370, 381, 401, 423, 429, 432, 433, 457, 462, 463, 464, 482, 483, 485, 487, 488, 490, 499, 502, 503, 505, 509, 510, 511, 526, 533, 538, 540, 541, 562, 563, 573, 575, 576, 579, 580, 581, 582, 591, 592, 593, 595, 600, 635, 636, 639, 643, 652, 667, 673, 677, 680, 685, 686, 696, 697, 698, 702, 703, 713, 720, 732, 760, 762, 764, 765, 766, 767, 768, 769, 770, 781, 784, 787, 788, 789, 793, 798, 804, 807, 808, 877, 880, 883, 884, 886, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 900, 902, 903, 904, 906, 914, 916, 919, 922, 923, 929, 937, 938, 940, 943, 948, 952, 953, 956, 957, 962, 970, 972, 983, 990, 993, 997, 999, 1010, 1013, 1014, 1032, 1035, 1039, 1041, 1045, 1065, 1067, 1069, 1071, 1072, 1078, 1079, 1081, 1084, 1085, 1087, 1093, 1095, 1097, 1104, 1110, 1112, 1115, 1118, 1120, 1122, 1141, 1142, 1143, 1145, 1148, 1149, 1154, 1173, 1178, 1179, 1181, 1187, 1188, 1192, 1193, 1196, 1199, 1200, 1203, 1205, 1207, 1208, 1230, 1237, 1238, 1240, 1248, 1249, 1253, 1254, 1257, 1260, 1261, 1264, 1267, 1269, 1270, 1280, 1289, 1300, 1302, 1304, 1305, 1310, 1311, 1312, 1313, 1318, 1319, 1320, 1321, 1322, 1327, 1328, 1329, 1330, 1335, 1336, 1337, 1342, 1344, 1345, 1354, 1386, 1387, 1389, 1390, 1391, 1392, 1393, 1394, 1396, 1397, 1398, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1414, 1416, 1417, 1419, 1420, 1423, 1424, 1430, 1431, 1432, 1433, 1434, 1435, 1443, 1446, 1452, 1453, 1454, 1455, 1458, 1461, 1463, 1465, 1468, 1469, 1470, 1471, 1472, 1473, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1490, 1491, 1492, 1493, 1494, 1495, 1496, 1497, 1498, 1499, 1500, 1501, 1502, 1598, 1657, 1677, 1699, 1720, 1793, 1815, 2164, 2165, 2166, 2167, 2180, 2184, 2185, 2186, 2188, 2192, 2196, 2197, 2199, 2202, 2203, 2204, 2205, 2206, 2207, 2210, 2211, 2212, 2214, 2215, 2217, 2218, 2219, 2220, 2222, 2223, 2225, 2226, 2227, 2228, 2229, 2231, 2232, 2235, 2238, 2239, 2242, 2246, 2262, 2263, 2265, 2267, 2271, 2272, 2274, 2277, 2278, 2282, 2283, 2289, 2294, 2298, 2299, 2301, 2302, 2304, 2306, 2307], "str1": 19, "str20": 19, "str32": 1118, "str_": [854, 855, 2167, 2186, 2188, 2199, 2208, 2266, 2294, 2298], "str_bar": [854, 855, 2208], "str_cat": 2188, "str_contain": 2221, "str_foo": [854, 855, 2208], "str_get": 2238, "str_posit": 19, "str_type": 2, "str_wrap": 873, "strai": 2232, "straight": [21, 2185], "straightforward": [13, 15, 21, 2186, 2195, 2249], "strang": 1419, "strategi": [2, 15, 26, 2185, 2195, 2197, 2199, 2204, 2210, 2211], "stratford": [2199, 2294], "stratifi": 2211, "stream": [2199, 2227, 2229, 2232, 2267], "streamreaderwrit": 2278, "streamwrit": 2279, "stretch": 2202, "strftime": [1469, 1482, 1483, 1484, 1486, 1498, 1501, 1578, 1657, 1677, 1699, 1720, 2186, 2203, 2207, 2241, 2265, 2293, 2294, 2298, 2302], "strict": [2, 16, 17, 18, 19, 34, 251, 256, 346, 351, 825, 826, 850, 884, 888, 1387, 1469, 1474, 1476, 1485, 1486, 1494, 1498, 1501, 2185, 2193, 2197, 2199, 2208, 2210, 2218, 2232, 2235, 2289, 2298], "stricter": [823, 850, 2291], "strictli": [118, 132, 135, 159, 161, 175, 261, 893, 1447, 1499, 2199, 2210, 2216, 2236, 2289], "stride": [2241, 2265], "strike": 2223, "string": [2, 3, 9, 10, 15, 20, 21, 23, 24, 31, 32, 35, 37, 62, 70, 71, 72, 73, 77, 79, 89, 91, 97, 107, 113, 115, 120, 124, 125, 131, 142, 147, 148, 149, 168, 169, 177, 178, 183, 186, 188, 189, 195, 197, 203, 212, 213, 214, 218, 224, 247, 250, 251, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 265, 266, 267, 268, 269, 272, 273, 276, 286, 298, 300, 301, 302, 322, 337, 341, 345, 351, 353, 370, 377, 387, 401, 402, 413, 423, 428, 446, 459, 460, 462, 478, 483, 502, 503, 509, 510, 521, 532, 540, 551, 562, 579, 580, 581, 582, 586, 590, 591, 601, 615, 620, 629, 635, 636, 677, 698, 700, 701, 724, 725, 726, 755, 756, 761, 762, 764, 765, 770, 787, 788, 793, 808, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 880, 883, 884, 886, 888, 889, 890, 892, 895, 896, 897, 900, 902, 911, 915, 919, 922, 927, 929, 930, 938, 944, 953, 957, 959, 970, 983, 997, 999, 1000, 1031, 1035, 1038, 1039, 1043, 1068, 1078, 1101, 1109, 1112, 1118, 1120, 1123, 1124, 1126, 1128, 1143, 1145, 1148, 1149, 1164, 1167, 1187, 1188, 1192, 1193, 1196, 1203, 1207, 1208, 1221, 1224, 1248, 1249, 1253, 1254, 1257, 1264, 1269, 1270, 1289, 1304, 1321, 1344, 1345, 1386, 1387, 1390, 1391, 1393, 1394, 1395, 1396, 1398, 1403, 1404, 1413, 1414, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1429, 1431, 1432, 1433, 1434, 1436, 1441, 1442, 1443, 1446, 1448, 1449, 1450, 1452, 1455, 1458, 1459, 1463, 1464, 1468, 1469, 1470, 1471, 1472, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1490, 1497, 1498, 1500, 1501, 1502, 1508, 1519, 1526, 1537, 1544, 1556, 1562, 1574, 1581, 1593, 1602, 1614, 1622, 1633, 1639, 1650, 1657, 1660, 1672, 1677, 1681, 1693, 1699, 1702, 1715, 1720, 1723, 1736, 1743, 1754, 1761, 1772, 1778, 1789, 1795, 1808, 1817, 1830, 1842, 1853, 1859, 1870, 1879, 1890, 1897, 1908, 1915, 1926, 1932, 1943, 1949, 1960, 1967, 1978, 1984, 1995, 2002, 2013, 2021, 2032, 2039, 2050, 2057, 2068, 2075, 2086, 2092, 2103, 2110, 2121, 2129, 2141, 2147, 2159, 2164, 2165, 2185, 2191, 2193, 2194, 2195, 2196, 2197, 2198, 2200, 2201, 2202, 2203, 2204, 2206, 2209, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2227, 2228, 2229, 2230, 2232, 2233, 2236, 2238, 2242, 2248, 2250, 2254, 2261, 2262, 2263, 2267, 2272, 2274, 2275, 2278, 2287, 2293, 2295, 2299, 2301, 2303, 2304, 2305, 2306, 2308, 2309], "string1": 1470, "string2": [1470, 2199, 2215], "string_": [2203, 2222, 2283], "string_low": 16, "string_prop": 16, "string_storag": [915, 1118, 1345, 1391, 1488, 1490, 2202, 2283, 2302], "string_up": 16, "string_with_crlf": 2246, "string_with_lf": 2246, "stringarrai": [2, 590, 1118, 2167, 2186, 2203, 2208, 2265, 2271, 2272, 2283, 2294, 2298], "stringcol": 2199, "stringdtyp": [97, 620, 823, 827, 832, 850, 867, 1345, 1391, 1488, 1490, 2167, 2186, 2201, 2202, 2203, 2208, 2265, 2277, 2283, 2287, 2298, 2302, 2306, 2307, 2309], "stringifi": [2199, 2246, 2272], "stringify_path": 2199, "stringio": [144, 257, 259, 260, 269, 890, 892, 897, 1091, 1356, 1373, 1374, 1469, 1470, 1475, 1476, 1485, 1486, 1487, 2188, 2199, 2201, 2203, 2214, 2228, 2230, 2231, 2232, 2235, 2238, 2246, 2263, 2264, 2289, 2294, 2298, 2302], "stringmethod": [2208, 2221, 2226, 2227, 2294, 2298], "stringmixin": 2217, "stringr": [428, 818, 873], "strip": [849, 863, 1389, 2166, 2199, 2208, 2214, 2226, 2264, 2302], "strl": [268, 2246], "strlen": 19, "strlen_tim": 19, "strlower": 19, "strong": [0, 2186, 2207, 2227], "strongli": [2, 2188, 2261, 2277], "strpo": 19, "strproper": 19, "strptime": [999, 1498, 1501, 2210, 2249, 2302], "strtod": [1476, 2199], "struct": [9, 2199, 2300], "struct_tim": [1003, 1021], "structur": [3, 11, 15, 18, 20, 21, 23, 28, 30, 35, 36, 63, 69, 91, 109, 118, 129, 130, 131, 132, 135, 159, 161, 171, 173, 175, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 256, 266, 271, 275, 346, 351, 404, 888, 899, 953, 1031, 1345, 1391, 1400, 1403, 1404, 1432, 1433, 1443, 1458, 1469, 1472, 1475, 1476, 1484, 1486, 1487, 1488, 1490, 1793, 1815, 2185, 2186, 2188, 2195, 2196, 2197, 2199, 2201, 2202, 2205, 2211, 2218, 2222, 2231, 2232, 2235, 2238, 2241, 2249, 2256, 2257, 2261, 2277, 2302], "struggl": 13, "strupper": 19, "stub": [2166, 2172, 2225, 2241], "stubnam": [2166, 2246, 2294], "stubtest": 2, "student_count": 17, "studio": 5, "stuff": 2196, "style": [3, 22, 26, 30, 31, 107, 112, 116, 134, 167, 169, 185, 186, 207, 209, 241, 250, 253, 257, 259, 337, 629, 709, 762, 781, 821, 883, 886, 890, 959, 1164, 1188, 1221, 1249, 1348, 1444, 1445, 1446, 1447, 1448, 1454, 1470, 1482, 1483, 2166, 2172, 2184, 2186, 2196, 2200, 2202, 2204, 2210, 2216, 2218, 2225, 2226, 2228, 2229, 2230, 2237, 2238, 2241, 2249, 2261, 2262, 2264, 2265, 2271, 2277, 2283, 2289, 2294, 2297, 2302], "style1": 2207, "style2": 2207, "style_neg": 2207, "style_structur": 2207, "styler": [243, 253, 259, 886, 890, 1345, 1391, 1488, 1490, 2172, 2196, 2199, 2202, 2229, 2232, 2235, 2238, 2241, 2265, 2271, 2272, 2284, 2285, 2290, 2291, 2292, 2296, 2297], "styler2": [1402, 1435], "stylesheet": [272, 1487, 2199], "stylist": 2, "stz": [2186, 2222], "su": 1741, "sub": [2, 10, 69, 108, 109, 129, 171, 173, 199, 204, 206, 212, 215, 216, 217, 220, 221, 222, 275, 630, 787, 796, 830, 835, 857, 858, 859, 1400, 2166, 2184, 2185, 2186, 2199, 2207, 2208, 2214, 2218, 2222, 2223, 2224, 2225, 2226, 2230, 2231, 2232, 2235, 2241, 2249, 2265, 2271, 2277, 2307], "sub_blk": 2199, "subarr": 2298, "subclass": [2, 11, 15, 218, 252, 256, 286, 490, 509, 740, 793, 885, 888, 1031, 1032, 1040, 1041, 1052, 1068, 1103, 1122, 1144, 1193, 1254, 1365, 1384, 1405, 1448, 1502, 1578, 1598, 1657, 1677, 1699, 1720, 1741, 2167, 2174, 2186, 2192, 2197, 2209, 2210, 2212, 2218, 2222, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2261, 2265, 2267, 2269, 2271, 2277, 2283, 2284, 2289, 2291, 2293, 2294, 2296, 2297, 2298, 2299, 2302, 2304, 2305, 2307, 2309], "subclasseddatafram": 10, "subclasseddataframe2": 10, "subclassedseri": 10, "subdirectori": 2, "subdivid": 2199, "subdtyp": [2186, 2246], "subfold": [251, 884], "subfram": [1168, 1203, 1264], "subgroup": [353, 1103, 2185, 2199, 2204, 2256], "subindex": 3, "subject": [186, 762, 828, 829, 1123, 1188, 1249, 2204, 2230, 2277], "subkei": 2199, "submit": [2, 4, 11, 107, 629, 1164, 1221], "submitt": 13, "submodul": [2172, 2199, 2203, 2212, 2221, 2228, 2235, 2265, 2298, 2302], "subpackag": [2172, 2235, 2241], "subperiod": 2246, "subplot": [26, 31, 91, 137, 186, 187, 188, 189, 195, 196, 762, 763, 764, 765, 770, 771, 1154, 1173, 1188, 1249, 1458, 1466, 2218, 2220, 2221, 2222, 2225, 2226, 2228, 2232, 2235, 2242, 2265, 2277, 2294], "subplotax": 2229, "subplots_adjust": 2211, "subrang": 15, "subscrib": 0, "subscript": [836, 837, 838, 839, 840, 841, 842, 843, 844, 2193, 2218, 2246], "subsect": [2196, 2210, 2271], "subselect": [28, 32, 2207], "subsequ": [4, 17, 342, 1447, 1476, 2185, 2190, 2193, 2195, 2197, 2199, 2210, 2212, 2218, 2228, 2232, 2241, 2246, 2249, 2250, 2273, 2283, 2289, 2290, 2307], "subset": [2, 3, 4, 16, 17, 18, 19, 21, 26, 27, 28, 29, 31, 32, 33, 34, 77, 80, 107, 112, 114, 116, 123, 126, 127, 137, 157, 214, 224, 249, 256, 257, 259, 269, 276, 281, 346, 351, 592, 629, 698, 702, 703, 732, 882, 888, 890, 902, 1147, 1164, 1172, 1173, 1183, 1201, 1202, 1204, 1206, 1221, 1229, 1244, 1262, 1263, 1268, 1395, 1397, 1398, 1400, 1403, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1418, 1422, 1430, 1433, 1469, 1470, 1481, 1485, 1486, 2184, 2186, 2190, 2195, 2197, 2199, 2200, 2204, 2205, 2207, 2211, 2217, 2220, 2222, 2226, 2230, 2232, 2246, 2271, 2277, 2283, 2289, 2293, 2294, 2298, 2302, 2307], "substant": 2218, "substanti": [2194, 2215, 2253, 2255, 2257, 2261], "substitut": [3, 34, 69, 109, 129, 171, 173, 199, 204, 206, 212, 215, 216, 217, 220, 221, 222, 244, 275, 325, 431, 505, 578, 631, 694, 706, 707, 710, 734, 739, 740, 747, 749, 753, 773, 777, 780, 787, 790, 791, 792, 795, 796, 797, 878, 887, 901, 950, 1272, 1275, 1495, 2186, 2216, 2261], "substr": [830, 835, 858, 859, 864, 1394, 1403, 2196, 2202, 2246], "subtl": [2, 2185, 2199, 2219, 2222, 2307], "subtleti": 4, "subtli": 2241, "subtot": [29, 1342], "subtract": [3, 16, 17, 19, 69, 109, 129, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 796, 878, 2209, 2210, 2215, 2220, 2222, 2225, 2228, 2230, 2232, 2239, 2241, 2248, 2249, 2265, 2267, 2271, 2289, 2294, 2298, 2307, 2308], "subtract_and_divid": 2186, "subtract_custom_valu": 586, "subtract_federal_tax": [183, 761], "subtract_national_insur": [183, 761], "subtract_state_tax": [183, 761], "subtrahend": 2302, "subtyp": [3, 457, 462, 1128, 2228, 2241, 2246, 2294, 2298, 2302, 2307], "succe": [10, 1094, 2199, 2230, 2232, 2238, 2250, 2271], "succeed": [2, 1498, 1499, 1500], "success": [11, 34, 69, 109, 129, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 578, 631, 694, 706, 707, 710, 734, 739, 747, 749, 753, 773, 777, 780, 790, 791, 792, 795, 796, 797, 878, 901, 2217, 2229], "successfulli": [1, 1498, 1499, 2285, 2294], "successor": 2185, "succinct": [21, 2197], "succinctli": [16, 19, 2186, 2210, 2222], "sudden": 2, "suffer": 2212, "suffic": 2207, "suffici": [2, 3, 25, 2193, 2199, 2225, 2230, 2246, 2274], "suffix": [70, 71, 153, 169, 230, 579, 580, 804, 854, 855, 1196, 1257, 1446, 1447, 1448, 2166, 2200, 2208, 2210, 2232, 2241, 2249, 2265, 2271, 2274, 2283, 2289, 2294, 2298], "suffix1": 2166, "suffix2": 2166, "sugar": 2195, "suggest": [2, 1345, 1391, 1488, 1490, 1741, 2194, 2202, 2207, 2219, 2227, 2230, 2241, 2249, 2280, 2289], "suit": [0, 5, 10, 11, 21, 34, 1433, 1492, 2172, 2197, 2207, 2218, 2234, 2237, 2238, 2261], "suitabl": [34, 258, 420, 493, 799, 889, 1043, 1061, 1433, 1469, 1486, 1487, 2184, 2188, 2190, 2199, 2205], "sum": [2, 3, 13, 15, 16, 19, 72, 73, 77, 94, 99, 103, 104, 105, 106, 122, 134, 164, 170, 185, 192, 193, 200, 201, 203, 213, 218, 223, 267, 273, 345, 436, 581, 582, 622, 625, 626, 627, 628, 697, 709, 742, 746, 768, 774, 775, 788, 793, 798, 896, 900, 908, 1041, 1073, 1074, 1075, 1148, 1149, 1152, 1155, 1163, 1192, 1193, 1207, 1208, 1213, 1220, 1253, 1254, 1269, 1270, 1304, 1321, 1322, 1342, 1352, 1369, 1382, 1400, 1454, 2184, 2185, 2186, 2188, 2193, 2194, 2195, 2197, 2198, 2199, 2201, 2204, 2205, 2206, 2207, 2209, 2210, 2211, 2212, 2214, 2217, 2218, 2219, 2220, 2222, 2223, 2226, 2228, 2230, 2231, 2232, 2235, 2240, 2246, 2248, 2257, 2259, 2265, 2271, 2275, 2277, 2281, 2282, 2283, 2288, 2289, 2294, 2295, 2298, 2302], "sum_": [1403, 2212], "summar": [3, 24, 107, 629, 1164, 1221, 2188, 2194, 2200, 2204, 2207, 2208, 2242, 2298], "summari": [2, 4, 13, 15, 16, 21, 22, 24, 30, 33, 107, 144, 168, 629, 1164, 1221, 1345, 1391, 1488, 1490, 2184, 2186, 2191, 2195, 2196, 2200, 2202, 2207, 2214, 2220, 2225, 2227, 2228, 2230, 2240, 2241, 2246, 2265], "summaris": 15, "summary_styl": 2207, "summat": [2212, 2277, 2283], "summer": [586, 953, 2210, 2271], "summit": [1443, 2199], "sump": 2199, "sun": [17, 18, 517, 959, 1008, 1274, 2195, 2210, 2217], "sundai": [31, 292, 294, 332, 513, 515, 532, 535, 543, 545, 565, 644, 646, 688, 984, 1024, 1741, 1793, 1815, 1857, 2090, 2108, 2210], "sunday_to_mondai": 2210, "super": [16, 17, 18, 19, 2185, 2192, 2194, 2197, 2199, 2207, 2210, 2212, 2235, 2298], "superflu": [2232, 2288], "superior": 2199, "superscript": [836, 837, 838, 839, 840, 841, 842, 843, 844], "superset": [285, 913], "suplot": 2235, "supplementari": 2212, "suppli": [16, 19, 224, 247, 258, 381, 466, 490, 570, 571, 845, 880, 889, 1298, 1299, 1306, 1308, 1323, 1325, 1397, 1406, 1421, 1430, 1470, 1499, 2185, 2188, 2195, 2199, 2204, 2211, 2212, 2222, 2228, 2229, 2230, 2232, 2237, 2241, 2246, 2249, 2265, 2271, 2277, 2283, 2285, 2287, 2288, 2294, 2299, 2302], "support": [0, 1, 3, 5, 9, 11, 12, 13, 16, 17, 18, 19, 21, 23, 24, 26, 28, 29, 30, 31, 32, 36, 69, 72, 73, 77, 97, 102, 109, 118, 129, 132, 135, 146, 153, 159, 161, 171, 173, 175, 184, 199, 204, 206, 207, 209, 210, 215, 216, 217, 220, 221, 222, 244, 251, 254, 256, 258, 262, 263, 265, 267, 268, 272, 273, 275, 322, 337, 462, 562, 573, 578, 581, 582, 586, 620, 631, 677, 694, 706, 707, 710, 720, 734, 739, 747, 749, 753, 773, 777, 780, 781, 784, 790, 791, 792, 795, 796, 797, 824, 831, 878, 884, 888, 889, 895, 896, 900, 901, 1032, 1034, 1041, 1043, 1077, 1109, 1118, 1128, 1148, 1149, 1152, 1158, 1168, 1183, 1203, 1207, 1208, 1211, 1225, 1244, 1264, 1269, 1270, 1280, 1304, 1321, 1343, 1345, 1374, 1382, 1387, 1391, 1393, 1433, 1453, 1469, 1470, 1472, 1474, 1476, 1478, 1479, 1480, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1490, 1498, 1499, 1741, 2167, 2184, 2185, 2186, 2188, 2190, 2191, 2195, 2197, 2202, 2203, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2213, 2215, 2216, 2217, 2218, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2229, 2230, 2231, 2236, 2238, 2239, 2242, 2243, 2245, 2247, 2248, 2253, 2254, 2255, 2257, 2258, 2264, 2266, 2273, 2283, 2289, 2304, 2308, 2309], "supported_extens": 2294, "supports_multivalues_insert": 2241, "suppos": [183, 207, 761, 781, 1415, 2185, 2186, 2192, 2195, 2199, 2205, 2206, 2207, 2217], "suppress": [82, 91, 111, 168, 368, 593, 633, 1458, 2194, 2197, 2199, 2218, 2219, 2222, 2226, 2241, 2250, 2263, 2271, 2277, 2292], "sure": [1, 2, 5, 6, 13, 24, 2199, 2207, 2218, 2220, 2265, 2298], "surfac": [1499, 2218, 2219, 2220], "surnam": 32, "surpris": [62, 615, 2188, 2192, 2194, 2249, 2289, 2294], "surrog": 2271, "surround": [22, 25, 89, 124, 146, 202, 203, 601, 700, 720, 776, 1280, 1314, 1331, 1394, 1403, 2199, 2201, 2217, 2241, 2294], "surviv": [24, 25, 28, 29, 32], "suspect": 2195, "swan": 845, "swap": [246, 247, 503, 857, 880, 1202, 2194, 2197, 2231, 2289, 2298], "swapax": [2218, 2298, 2302], "swapcas": [819, 820, 848, 857, 870, 872, 2208, 2226], "swaplevel": [2210, 2231, 2271], "switch": [1, 144, 259, 337, 890, 1345, 1391, 1469, 1486, 1488, 1490, 1498, 2185, 2202, 2205, 2218, 2219, 2235, 2246, 2271, 2277, 2283, 2298], "sxx": 2, "sy": [16, 17, 18, 19, 22, 144, 268, 1473, 2199, 2203, 2205, 2212, 2230, 2235, 2271, 2283, 2298], "sym": [186, 762, 1188, 1249, 2211, 2249], "sym_diff": [2220, 2231, 2238], "symbol": [5, 1345, 1391, 1488, 1490, 2194, 2197, 2202, 2217, 2223, 2226, 2230, 2238, 2283], "symlink": [8, 13], "symlog": [186, 762, 1188, 1249, 2249], "symmetr": [99, 429, 622, 1155, 1213, 2187, 2221, 2228, 2241], "symmetri": [1118, 2167], "symmetric_differ": [2197, 2231, 2236, 2238, 2241, 2246, 2247, 2277, 2283, 2294, 2298], "symptom": 2194, "sync": [0, 2220, 2283], "synchron": 2199, "synonym": 1475, "syntact": [203, 2185, 2195], "syntax": [2, 3, 6, 203, 1353, 1387, 1473, 1478, 1482, 1483, 2185, 2186, 2191, 2195, 2199, 2218, 2229, 2230, 2235, 2238, 2277, 2289], "syntaxerror": [2193, 2199, 2235], "synthet": 2, "system": [3, 5, 8, 10, 12, 22, 91, 168, 250, 291, 314, 407, 643, 667, 745, 883, 1095, 1458, 1468, 1474, 1491, 2167, 2186, 2191, 2192, 2194, 2199, 2238, 2250, 2258, 2298, 2307], "systemerror": 2298, "sz": 2199, "t": [2, 3, 4, 5, 6, 10, 13, 16, 17, 18, 19, 22, 44, 46, 77, 81, 84, 88, 92, 96, 121, 127, 133, 134, 141, 157, 163, 165, 166, 167, 168, 172, 180, 184, 186, 188, 207, 208, 209, 212, 213, 225, 232, 240, 250, 262, 263, 274, 281, 284, 302, 345, 351, 380, 414, 430, 436, 586, 595, 600, 603, 616, 696, 703, 708, 709, 717, 732, 741, 743, 744, 748, 758, 762, 764, 781, 782, 783, 787, 788, 800, 806, 816, 821, 827, 831, 833, 836, 837, 838, 839, 840, 841, 842, 843, 844, 849, 863, 868, 883, 893, 908, 912, 916, 944, 954, 955, 956, 957, 959, 960, 962, 963, 964, 965, 966, 967, 968, 969, 970, 973, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 990, 992, 994, 995, 997, 999, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1011, 1012, 1013, 1014, 1016, 1018, 1020, 1021, 1023, 1024, 1025, 1042, 1068, 1076, 1118, 1146, 1154, 1166, 1167, 1168, 1184, 1188, 1202, 1204, 1223, 1225, 1249, 1263, 1342, 1345, 1348, 1374, 1388, 1391, 1423, 1433, 1445, 1447, 1453, 1455, 1459, 1460, 1464, 1469, 1470, 1476, 1486, 1488, 1490, 1500, 1501, 1506, 1510, 1511, 1512, 1513, 1514, 1515, 1516, 1524, 1528, 1529, 1530, 1531, 1532, 1533, 1534, 1542, 1546, 1547, 1548, 1549, 1550, 1551, 1552, 1560, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1578, 1584, 1585, 1586, 1587, 1588, 1589, 1590, 1598, 1605, 1606, 1607, 1608, 1609, 1610, 1611, 1620, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1637, 1641, 1642, 1643, 1644, 1645, 1646, 1647, 1657, 1663, 1664, 1665, 1666, 1667, 1668, 1669, 1677, 1684, 1685, 1686, 1687, 1688, 1689, 1690, 1699, 1705, 1706, 1707, 1708, 1709, 1710, 1711, 1720, 1726, 1727, 1728, 1729, 1730, 1731, 1732, 1741, 1745, 1746, 1747, 1748, 1749, 1750, 1751, 1758, 1763, 1764, 1765, 1766, 1767, 1768, 1769, 1776, 1780, 1781, 1782, 1783, 1784, 1785, 1786, 1793, 1799, 1800, 1801, 1802, 1803, 1804, 1805, 1815, 1821, 1822, 1823, 1824, 1825, 1826, 1827, 1839, 1844, 1845, 1846, 1847, 1848, 1849, 1850, 1857, 1861, 1862, 1863, 1864, 1865, 1866, 1867, 1876, 1881, 1882, 1883, 1884, 1885, 1886, 1887, 1894, 1899, 1900, 1901, 1902, 1903, 1904, 1905, 1912, 1917, 1918, 1919, 1920, 1921, 1922, 1923, 1930, 1934, 1935, 1936, 1937, 1938, 1939, 1940, 1947, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1964, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1982, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 2000, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2018, 2023, 2024, 2025, 2026, 2027, 2028, 2029, 2036, 2041, 2042, 2043, 2044, 2045, 2046, 2047, 2054, 2059, 2060, 2061, 2062, 2063, 2064, 2065, 2077, 2078, 2079, 2080, 2081, 2082, 2083, 2094, 2095, 2096, 2097, 2098, 2099, 2100, 2108, 2112, 2113, 2114, 2115, 2116, 2117, 2118, 2127, 2131, 2132, 2133, 2134, 2135, 2136, 2137, 2145, 2149, 2150, 2151, 2152, 2153, 2154, 2155, 2184, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2205, 2206, 2208, 2210, 2211, 2212, 2214, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2235, 2237, 2238, 2239, 2241, 2246, 2249, 2250, 2257, 2261, 2263, 2265, 2271, 2277, 2283, 2286, 2289, 2294, 2298, 2300, 2302, 2307, 2308], "t05h": 923, "t080854_to_sake2013": 2199, "t085643": 2199, "t5h": 923, "t_": [1394, 1432, 2207, 2212], "t_1144": 2207, "t_1144_level0_col0": 2207, "t_1144_level0_col1": 2207, "t_1144_level0_row0": 2207, "t_1144_level0_row1": 2207, "t_1144_row0_col0": 2207, "t_1144_row0_col1": 2207, "t_1144_row1_col0": 2207, "t_1144_row1_col1": 2207, "t_1e78": 1432, "t_1e78e_level0_col0": 1432, "t_1e78e_level0_col1": 1432, "t_20a7d_level0_col0": 1424, "t__": 1422, "t_a_": 2207, "t_a_row0_col0": 2207, "t_b_": 2207, "t_c_": 2207, "t_uuid_": 1424, "t_uuid_level": 2207, "t_xyz01": 2207, "tab": [1, 6, 16, 17, 19, 26, 873, 1345, 1391, 1486, 1488, 1490, 2184, 2191, 2195, 2197, 2202, 2211, 2218, 2225, 2228, 2230, 2236, 2241, 2242, 2243, 2251, 2254, 2265, 2289], "tabl": [3, 15, 16, 18, 19, 21, 22, 24, 25, 26, 27, 28, 31, 32, 33, 34, 35, 121, 122, 167, 184, 185, 186, 202, 218, 241, 243, 255, 256, 257, 258, 259, 262, 263, 267, 279, 346, 350, 351, 353, 590, 696, 697, 762, 793, 871, 888, 889, 890, 893, 896, 905, 1188, 1193, 1249, 1254, 1265, 1342, 1345, 1373, 1391, 1394, 1395, 1396, 1398, 1399, 1400, 1402, 1405, 1408, 1409, 1410, 1413, 1414, 1415, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1432, 1433, 1436, 1443, 1444, 1445, 1453, 1454, 1468, 1469, 1470, 1471, 1472, 1475, 1476, 1477, 1478, 1479, 1480, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1490, 2163, 2166, 2167, 2172, 2186, 2187, 2188, 2191, 2192, 2194, 2196, 2197, 2200, 2203, 2208, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2222, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2234, 2238, 2239, 2242, 2246, 2248, 2249, 2256, 2257, 2261, 2265, 2271, 2283, 2289, 2294, 2295, 2298, 2307, 2309], "table_attribut": [1394, 1400, 1432, 1435], "table_id": [255, 257], "table_nam": [1473, 1484, 2199], "table_schema": [255, 1345, 1391, 1488, 1490, 2202, 2235], "table_structur": 2207, "table_styl": [1394, 1400, 1421, 1433, 1435, 2207, 2283], "table_titl": 2207, "table_uuid": 1432, "tablecreationerror": 255, "tablefmt": [260, 892], "tableiter": 2199, "tablenam": [255, 1482], "tablewis": 2246, "tabul": [22, 260, 892, 1342, 2204, 2271, 2283, 2289, 2294, 2302, 2307], "tabular": [21, 33, 34, 63, 259, 269, 337, 505, 890, 1403, 1404, 1433, 2191, 2199, 2207, 2211, 2277], "tag": [5, 13, 257, 1345, 1391, 1394, 1403, 1404, 1432, 1434, 1475, 1488, 1490, 2202, 2207, 2232, 2241, 2251, 2294], "tail": [3, 16, 17, 18, 19, 24, 35, 134, 136, 276, 709, 712, 902, 2184, 2195, 2196, 2212, 2218, 2219, 2220, 2226, 2230, 2232, 2235, 2255, 2277, 2289, 2302], "take": [0, 1, 2, 4, 5, 6, 10, 13, 16, 17, 19, 22, 29, 34, 39, 49, 80, 94, 98, 108, 163, 179, 183, 185, 190, 213, 251, 273, 284, 285, 288, 296, 318, 331, 342, 345, 376, 378, 380, 465, 489, 586, 592, 603, 617, 621, 639, 652, 673, 686, 699, 741, 761, 766, 788, 884, 900, 912, 913, 916, 940, 943, 948, 957, 970, 997, 1031, 1060, 1152, 1165, 1169, 1170, 1177, 1183, 1211, 1222, 1226, 1227, 1236, 1244, 1276, 1277, 1281, 1345, 1388, 1391, 1394, 1395, 1396, 1398, 1403, 1404, 1413, 1414, 1415, 1441, 1442, 1447, 1449, 1450, 1454, 1470, 1475, 1488, 1490, 1499, 2166, 2167, 2186, 2188, 2191, 2192, 2193, 2194, 2196, 2197, 2199, 2200, 2201, 2202, 2205, 2206, 2207, 2208, 2210, 2211, 2212, 2214, 2215, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2230, 2231, 2232, 2233, 2234, 2235, 2238, 2239, 2240, 2241, 2246, 2249, 2253, 2254, 2257, 2263, 2264, 2265, 2266, 2269, 2271, 2277, 2283, 2289, 2293, 2294, 2298, 2301, 2302, 2307], "take_2d": 2220, "take_last": [2228, 2235], "take_nd": [2265, 2298], "take_smal": 94, "takeabl": [2185, 2191, 2194, 2197, 2217], "taken": [2, 23, 80, 241, 249, 255, 430, 439, 592, 882, 1064, 1118, 1202, 1263, 1387, 1452, 1469, 1473, 1486, 2191, 2197, 2199, 2202, 2207, 2222, 2260], "talk": 2214, "talli": 2283, "tan": 808, "tanh": [2193, 2228], "tao": 2248, "tar": [13, 251, 258, 265, 268, 272, 884, 889, 895, 1469, 1476, 1479, 1480, 1485, 1486, 1487], "tarbal": 2220, "tarfil": [251, 258, 265, 268, 272, 884, 889, 895, 1469, 1476, 1479, 1480, 1485, 1486, 1487, 2236, 2294], "target": [8, 31, 119, 207, 208, 209, 210, 213, 223, 253, 255, 277, 278, 345, 378, 379, 380, 417, 465, 489, 533, 563, 695, 781, 782, 784, 788, 798, 886, 903, 904, 1192, 1253, 1280, 1387, 1411, 1431, 1498, 2192, 2193, 2197, 2199, 2207, 2210, 2220, 2221, 2222, 2225, 2226, 2228, 2238, 2241, 2246, 2251, 2259, 2265, 2270, 2271, 2275, 2283, 2291, 2294, 2302, 2307], "target1": 2211, "target2": 2211, "target_": 2199, "task": [6, 8, 11, 34, 2207, 2210, 2212], "tast": [2186, 2214, 2216], "tau": [99, 100, 622, 1155, 1156, 1213, 2246], "tax": [183, 761, 2241], "tbill": 16, "tbodi": [257, 1422, 2199, 2207, 2241, 2246], "tc": [268, 2232], "tcp_nodelai": [16, 17, 18, 19, 2199, 2235], "td": [257, 268, 916, 917, 918, 919, 920, 921, 922, 923, 927, 929, 930, 931, 932, 933, 934, 937, 1345, 1391, 1403, 1404, 1418, 1420, 1421, 1422, 1423, 1475, 1488, 1490, 2199, 2202, 2207, 2209, 2210, 2218, 2222, 2241, 2246], "td1": 2209, "td2": 916, "tdd": 2, "tdelta": 2186, "tdelta_idx": [287, 302, 310, 648, 664, 669, 675, 939, 941, 942, 944, 945, 946, 947, 949, 951], "tdi": [2209, 2222, 2246], "team": [1, 13, 15, 1444, 2191, 2197, 2231, 2294], "technic": [3, 24, 718, 2260, 2263], "techniqu": [146, 720, 1280, 2190, 2199, 2211], "telegram": 13, "telekom": 2199, "tell": [4, 7, 17, 22, 2193, 2220, 2228], "tem": 2218, "temp": [486, 1397, 1430, 2218, 2289], "temp_c": 81, "temp_celsiu": [133, 208, 708, 782], "temp_f": 81, "temp_fahrenheit": [133, 208, 708, 782], "temp_k": 81, "temp_kelvin": [133, 708], "temperatur": [27, 586, 2218], "tempfil": [2232, 2286, 2289], "templat": [3, 4, 13, 259, 890, 1394, 1405, 1425, 1426, 1427, 1428, 1429, 1432, 1433, 2199, 2235, 2283, 2289, 2298], "template_head": 2212, "template_html": [1394, 1405], "template_html_styl": [1394, 1405], "template_html_t": [1394, 1405, 2207], "template_latex": 1394, "tempor": [1741, 2302], "temporari": [2, 10, 1350, 1487, 2197, 2199, 2218, 2221, 2226, 2231, 2298, 2302], "temporarili": [1451, 1487, 2238, 2239, 2242], "temporaryfil": 2232, "tempt": 2, "ten": 2193, "tend": [1142, 2199, 2211], "tendenc": [107, 629, 1164, 1221], "tension": 2211, "tensor": 2289, "term": [31, 121, 352, 696, 983, 1345, 1391, 1474, 1478, 1488, 1490, 2193, 2195, 2199, 2202, 2212, 2214, 2215, 2235, 2238, 2246, 2289], "termin": [2, 3, 22, 291, 314, 643, 667, 1345, 1391, 1488, 1490, 2202, 2222, 2236, 2246, 2248], "ter\u00e7a": [291, 643], "test": [1, 4, 5, 6, 11, 13, 16, 17, 18, 19, 96, 119, 136, 147, 445, 695, 712, 724, 823, 827, 867, 1094, 1150, 1151, 1209, 1210, 1345, 1346, 1353, 1354, 1360, 1377, 1386, 1391, 1417, 1424, 1455, 1461, 1488, 1490, 1741, 2172, 2184, 2185, 2186, 2188, 2193, 2194, 2196, 2199, 2202, 2217, 2218, 2219, 2220, 2221, 2222, 2224, 2225, 2226, 2228, 2230, 2231, 2234, 2237, 2238, 2239, 2241, 2242, 2243, 2246, 2249, 2255, 2257, 2261, 2264, 2265, 2272, 2277, 2278, 2279, 2283, 2289, 2292, 2294, 2295, 2297, 2298, 2299, 2302, 2307, 2308], "test2": [1346, 2246], "test_": 2, "test_arithmet": 2, "test_at": 2, "test_categor": 2228, "test_constructor_generic_timestamp_bad_frequ": 2298, "test_cool_featur": 2, "test_cool_feature_aspect": 2, "test_csv_read": 2199, "test_csv_writ": 2199, "test_data": 1482, "test_dtyp": 2, "test_feather_read": 2199, "test_feather_writ": 2199, "test_fix": 2199, "test_fixed_compress": 2199, "test_format": 2, "test_getitem": 2, "test_getitem_listlike_of_int": 2, "test_getitem_ndarray_3d": 2197, "test_googl": 2217, "test_hdf_fixed_read": 2199, "test_hdf_fixed_read_compress": 2199, "test_hdf_fixed_writ": 2199, "test_hdf_fixed_write_compress": 2199, "test_hdf_table_read": 2199, "test_hdf_table_read_compress": 2199, "test_hdf_table_writ": 2199, "test_hdf_table_write_compress": 2199, "test_iat": 2, "test_iloc": 2, "test_index": 2, "test_json_roundtrip": 2, "test_libgroupbi": 2, "test_loc": 2, "test_mark": 2, "test_method": 2, "test_methodnam": 2, "test_mymethod": 2, "test_nanop": 2, "test_network": 2, "test_parquet_read": 2199, "test_parquet_writ": 2199, "test_pickle_read": 2199, "test_pickle_read_compress": 2199, "test_pickle_writ": 2199, "test_pickle_write_compress": 2199, "test_really_cool_featur": 2, "test_reduct": 2, "test_repr": 2, "test_seri": 2, "test_setitem": 2, "test_sql_read": 2199, "test_sql_writ": 2199, "test_tabl": 2199, "test_table_compress": 2199, "test_th": 2, "test_time_series_plot_color_with_empty_kwarg": 2218, "test_xfail": 2, "test_yahoo": 2217, "testclass": 2, "testconstructor": 10, "tester": 2, "testgetloc": 2, "testlocbooleanmask": 2, "testlocsetitemwithexpans": 2, "testreadhtml": 2218, "testreallycoolfeatur": 2, "tex": [259, 890, 1433, 2197, 2231], "text": [1, 2, 3, 16, 17, 19, 26, 31, 32, 63, 144, 250, 257, 267, 883, 896, 1120, 1143, 1345, 1391, 1397, 1403, 1404, 1416, 1417, 1422, 1430, 1432, 1433, 1434, 1468, 1470, 1472, 1475, 1480, 1482, 1483, 1487, 1488, 1490, 2167, 2186, 2196, 2202, 2205, 2212, 2213, 2218, 2221, 2222, 2224, 2225, 2227, 2228, 2229, 2230, 2235, 2236, 2246, 2249, 2257, 2263, 2265, 2271, 2277, 2278, 2279, 2283, 2294, 2302, 2307], "text_col": [144, 2265], "text_color_threshold": [1397, 2246], "text_gradi": [1397, 2207, 2283], "text_valu": 144, "textasciicircum": 1403, "textasciitild": [1403, 1404], "textbackslash": 1403, "textbf": [1403, 1404, 1433], "textfield": [2199, 2249], "textfileread": [16, 17, 18, 19, 1469, 1472, 1486, 2199, 2203, 2218, 2220, 2232, 2235, 2298], "textit": 1433, "textpars": 2254, "textread": [2199, 2203, 2298], "textual": [21, 23, 24, 33], "textwrap": 873, "textwrapp": 873, "th": [25, 32, 257, 268, 776, 1183, 1244, 1404, 1422, 1432, 1475, 1741, 2199, 2207, 2208, 2210, 2246, 2251, 2257], "than": [0, 2, 3, 9, 10, 14, 15, 16, 17, 18, 19, 22, 24, 25, 26, 29, 30, 31, 60, 62, 74, 77, 88, 89, 91, 102, 108, 112, 114, 118, 124, 125, 132, 135, 136, 144, 146, 151, 159, 161, 175, 176, 179, 184, 185, 192, 200, 201, 203, 209, 213, 214, 218, 223, 228, 233, 240, 241, 245, 248, 253, 258, 268, 273, 280, 281, 298, 362, 363, 366, 405, 436, 441, 442, 443, 444, 462, 504, 513, 515, 522, 535, 551, 583, 599, 600, 601, 613, 615, 630, 664, 669, 675, 681, 700, 701, 707, 710, 712, 720, 734, 739, 740, 748, 754, 757, 774, 775, 788, 793, 798, 816, 831, 845, 853, 861, 873, 874, 879, 881, 886, 889, 900, 908, 916, 923, 946, 947, 949, 1027, 1028, 1029, 1030, 1040, 1052, 1064, 1111, 1118, 1128, 1152, 1158, 1167, 1169, 1177, 1178, 1181, 1183, 1189, 1193, 1194, 1200, 1204, 1211, 1224, 1226, 1236, 1237, 1240, 1242, 1243, 1244, 1250, 1254, 1255, 1261, 1272, 1275, 1276, 1280, 1281, 1286, 1290, 1295, 1318, 1320, 1335, 1337, 1345, 1347, 1374, 1384, 1387, 1389, 1390, 1391, 1392, 1395, 1400, 1416, 1431, 1444, 1447, 1453, 1454, 1457, 1458, 1469, 1486, 1488, 1490, 1499, 1500, 2163, 2166, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2204, 2205, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2235, 2236, 2238, 2239, 2240, 2241, 2242, 2243, 2246, 2247, 2248, 2250, 2255, 2261, 2263, 2264, 2265, 2269, 2271, 2275, 2277, 2278, 2281, 2283, 2289, 2293, 2294, 2298, 2302, 2304, 2307, 2308], "thank": [0, 13, 34, 200, 201, 245, 774, 775, 879, 2217, 2218, 2219, 2222, 2240, 2241, 2262, 2294], "thanksgiv": 2289, "the_golden_ratio": 2193, "thead": [257, 1422, 1432, 1475, 2199, 2207, 2246], "thei": [1, 2, 3, 10, 13, 15, 22, 34, 36, 39, 44, 49, 81, 86, 91, 110, 119, 134, 152, 153, 169, 172, 188, 189, 205, 212, 223, 257, 262, 263, 269, 276, 286, 420, 445, 455, 469, 473, 529, 573, 695, 709, 757, 764, 765, 778, 787, 798, 799, 808, 821, 874, 897, 902, 953, 1031, 1061, 1091, 1094, 1103, 1117, 1123, 1124, 1136, 1146, 1152, 1168, 1182, 1191, 1192, 1211, 1225, 1241, 1243, 1252, 1253, 1344, 1345, 1387, 1389, 1391, 1402, 1415, 1423, 1433, 1446, 1452, 1458, 1469, 1470, 1475, 1486, 1487, 1488, 1490, 1498, 1499, 2166, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2195, 2197, 2199, 2200, 2201, 2202, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2216, 2217, 2218, 2220, 2221, 2223, 2224, 2225, 2226, 2228, 2230, 2231, 2232, 2234, 2235, 2238, 2239, 2241, 2246, 2249, 2260, 2261, 2271, 2277, 2283, 2289, 2294, 2298, 2302], "them": [1, 2, 3, 6, 10, 13, 16, 17, 18, 19, 23, 24, 31, 63, 78, 131, 137, 153, 162, 186, 188, 189, 190, 191, 194, 195, 196, 197, 203, 207, 208, 214, 251, 405, 436, 445, 494, 740, 762, 764, 765, 766, 767, 769, 770, 771, 781, 782, 807, 884, 908, 916, 1031, 1152, 1154, 1173, 1188, 1211, 1249, 1343, 1387, 1469, 1486, 1498, 2185, 2186, 2187, 2188, 2191, 2192, 2195, 2197, 2199, 2200, 2201, 2202, 2206, 2207, 2210, 2211, 2216, 2217, 2219, 2220, 2228, 2229, 2232, 2235, 2238, 2239, 2246, 2260, 2271, 2277, 2283, 2294, 2298, 2307], "theme": [6, 2283], "themselv": [12, 185, 845, 1159, 1216, 1454, 2185, 2195, 2218], "theoret": [2199, 2307], "theori": 34, "therebi": [2195, 2211, 2218], "therefor": [2, 28, 62, 127, 157, 615, 703, 724, 732, 874, 905, 1152, 1211, 1265, 1402, 1419, 1487, 2185, 2186, 2188, 2193, 2194, 2197, 2199, 2201, 2203, 2210, 2211, 2212, 2217, 2218, 2221, 2222, 2229, 2246, 2249, 2261, 2298, 2307], "thereof": [490, 492, 2173], "thi": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 15, 16, 17, 18, 19, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 39, 41, 42, 43, 44, 46, 49, 50, 53, 54, 56, 62, 63, 68, 69, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 88, 89, 90, 91, 92, 97, 98, 102, 103, 104, 105, 106, 108, 109, 110, 113, 115, 119, 120, 121, 122, 123, 124, 125, 126, 127, 129, 131, 134, 136, 137, 139, 140, 141, 142, 144, 146, 151, 153, 154, 155, 156, 157, 160, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 173, 176, 179, 182, 184, 185, 186, 187, 188, 190, 191, 192, 193, 194, 195, 196, 197, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 210, 212, 213, 214, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 230, 231, 232, 233, 234, 240, 242, 244, 245, 248, 249, 250, 251, 253, 254, 255, 257, 258, 259, 261, 262, 263, 266, 267, 269, 270, 272, 275, 276, 278, 279, 280, 282, 283, 284, 285, 286, 288, 292, 294, 296, 303, 304, 305, 306, 307, 308, 309, 316, 318, 321, 330, 331, 332, 334, 337, 342, 343, 344, 345, 346, 351, 353, 354, 365, 367, 376, 377, 379, 380, 381, 389, 390, 419, 420, 423, 425, 426, 427, 434, 435, 445, 457, 464, 481, 490, 492, 497, 503, 504, 510, 514, 516, 517, 518, 525, 528, 532, 537, 538, 539, 541, 568, 570, 571, 573, 575, 577, 578, 581, 582, 583, 584, 585, 589, 590, 591, 592, 595, 596, 597, 599, 600, 601, 602, 605, 608, 615, 616, 620, 621, 622, 625, 626, 627, 628, 630, 631, 632, 635, 639, 644, 646, 652, 655, 656, 657, 658, 659, 660, 661, 670, 673, 681, 682, 683, 685, 686, 688, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 705, 706, 707, 709, 710, 712, 713, 715, 716, 717, 720, 728, 730, 731, 732, 734, 738, 739, 740, 741, 742, 743, 744, 746, 747, 749, 753, 754, 757, 760, 762, 763, 764, 766, 767, 768, 769, 770, 771, 773, 774, 775, 776, 777, 778, 780, 781, 782, 784, 786, 787, 788, 789, 790, 791, 792, 793, 795, 796, 797, 798, 799, 800, 801, 802, 804, 806, 807, 808, 811, 816, 817, 819, 820, 821, 824, 831, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 848, 849, 853, 859, 861, 862, 863, 866, 868, 869, 870, 872, 873, 877, 878, 879, 881, 882, 883, 884, 886, 889, 890, 893, 896, 901, 902, 904, 905, 910, 911, 912, 913, 914, 919, 922, 931, 938, 940, 943, 948, 953, 957, 970, 997, 1007, 1008, 1010, 1014, 1031, 1033, 1034, 1035, 1037, 1038, 1039, 1040, 1041, 1042, 1043, 1044, 1050, 1052, 1053, 1056, 1057, 1059, 1060, 1064, 1067, 1068, 1069, 1070, 1071, 1072, 1090, 1097, 1100, 1101, 1109, 1110, 1114, 1115, 1118, 1120, 1121, 1130, 1140, 1142, 1143, 1145, 1146, 1148, 1149, 1152, 1154, 1158, 1159, 1167, 1173, 1174, 1175, 1182, 1183, 1187, 1188, 1192, 1193, 1202, 1203, 1207, 1208, 1211, 1213, 1216, 1224, 1230, 1231, 1232, 1241, 1242, 1243, 1244, 1248, 1249, 1253, 1254, 1259, 1263, 1264, 1269, 1270, 1271, 1280, 1286, 1289, 1304, 1305, 1306, 1314, 1321, 1322, 1323, 1331, 1340, 1343, 1344, 1345, 1346, 1348, 1354, 1361, 1364, 1373, 1380, 1381, 1387, 1388, 1391, 1393, 1395, 1397, 1398, 1400, 1402, 1403, 1404, 1406, 1407, 1411, 1415, 1416, 1418, 1419, 1421, 1430, 1431, 1432, 1433, 1434, 1436, 1437, 1439, 1441, 1442, 1445, 1446, 1447, 1449, 1450, 1452, 1453, 1454, 1457, 1458, 1459, 1464, 1465, 1469, 1470, 1473, 1475, 1476, 1477, 1478, 1482, 1484, 1485, 1486, 1487, 1488, 1490, 1491, 1494, 1497, 1498, 1499, 1500, 1501, 1512, 1530, 1548, 1566, 1586, 1607, 1626, 1643, 1665, 1686, 1707, 1728, 1741, 1747, 1765, 1782, 1793, 1801, 1823, 1846, 1863, 1883, 1901, 1919, 1936, 1953, 1971, 1988, 2006, 2025, 2043, 2061, 2079, 2096, 2114, 2133, 2151, 2163, 2164, 2165, 2166, 2167, 2169, 2172, 2180, 2184, 2185, 2186, 2187, 2188, 2189, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2244, 2245, 2246, 2247, 2248, 2249, 2250, 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2270, 2271, 2273, 2277, 2278, 2283, 2289, 2294, 2295, 2297, 2298, 2302, 2307, 2308, 2310], "thin": [362, 590, 2191, 2210, 2246], "thing": [1, 2, 3, 4, 12, 13, 15, 23, 34, 375, 828, 829, 2166, 2185, 2186, 2191, 2195, 2197, 2199, 2207, 2210, 2220, 2235, 2238, 2260], "think": [2, 3, 13, 17, 32, 34, 2185, 2191, 2197, 2212, 2220], "third": [0, 2, 3, 10, 15, 56, 91, 359, 360, 380, 587, 588, 1090, 1118, 1317, 1334, 1458, 2167, 2186, 2193, 2195, 2199, 2204, 2206, 2207, 2211, 2228, 2241, 2246, 2289, 2294], "thirdli": 1433, "thoma": [35, 2248], "thompson": 25, "thorni": 2185, "thoroughli": 2238, "those": [1, 2, 3, 7, 10, 13, 18, 32, 77, 97, 107, 169, 190, 193, 203, 205, 212, 230, 491, 620, 629, 766, 768, 778, 787, 804, 1146, 1164, 1221, 1343, 1407, 1415, 1416, 1446, 1452, 1470, 1476, 1478, 2172, 2173, 2185, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2201, 2203, 2204, 2206, 2207, 2210, 2211, 2212, 2218, 2220, 2222, 2225, 2230, 2235, 2239, 2240, 2241, 2246, 2250, 2271, 2277, 2283, 2286, 2289, 2298, 2302, 2307], "though": [1, 13, 17, 80, 81, 119, 120, 163, 258, 273, 284, 501, 573, 592, 603, 695, 741, 889, 900, 912, 1469, 1486, 1498, 2186, 2190, 2191, 2195, 2197, 2199, 2200, 2206, 2207, 2210, 2214, 2218, 2219, 2224, 2230, 2232, 2235, 2239, 2246, 2249, 2260, 2261, 2271, 2283], "thought": [2, 17, 63, 718, 2186, 2212], "thousand": [16, 17, 18, 19, 339, 1345, 1391, 1394, 1403, 1404, 1433, 1469, 1470, 1475, 1486, 1488, 1490, 2202, 2203, 2207, 2218, 2232, 2235, 2261, 2277, 2283, 2298], "thread": [98, 621, 1471, 2193, 2196, 2199, 2228, 2230, 2238, 2310], "threadsaf": 2199, "three": [3, 6, 15, 17, 22, 29, 30, 100, 126, 136, 137, 176, 179, 248, 662, 702, 712, 754, 757, 846, 857, 881, 953, 1121, 1142, 1145, 1156, 1173, 1203, 1242, 1243, 1264, 1317, 1328, 1334, 1343, 1344, 1392, 1393, 1407, 1433, 1440, 1452, 1469, 1470, 1486, 1497, 2184, 2186, 2187, 2188, 2191, 2193, 2195, 2197, 2199, 2201, 2204, 2207, 2208, 2215, 2216, 2238, 2239, 2246, 2247, 2260, 2265], "thresh": [114, 2294], "threshold": [92, 102, 276, 616, 902, 1158, 1345, 1391, 1397, 1430, 1488, 1490, 2199, 2202, 2226, 2238, 2245, 2246, 2249, 2250, 2283], "threw": [2218, 2277], "thrive": 0, "through": [1, 2, 3, 5, 7, 10, 16, 17, 18, 19, 22, 34, 36, 60, 74, 82, 91, 98, 134, 143, 169, 190, 205, 207, 208, 209, 210, 226, 227, 264, 270, 274, 276, 277, 278, 341, 390, 583, 593, 613, 621, 709, 719, 766, 778, 781, 782, 783, 784, 801, 802, 823, 871, 880, 893, 894, 898, 902, 903, 904, 1044, 1076, 1148, 1149, 1178, 1179, 1181, 1199, 1200, 1203, 1205, 1207, 1208, 1237, 1238, 1240, 1260, 1261, 1264, 1267, 1300, 1302, 1305, 1310, 1311, 1312, 1313, 1318, 1319, 1320, 1322, 1327, 1328, 1329, 1330, 1335, 1336, 1337, 1350, 1406, 1432, 1446, 1458, 1478, 1482, 1485, 2167, 2185, 2186, 2190, 2191, 2192, 2193, 2194, 2196, 2201, 2202, 2203, 2209, 2211, 2213, 2214, 2218, 2220, 2222, 2225, 2227, 2229, 2230, 2232, 2235, 2241, 2246, 2254, 2257, 2258, 2260, 2261, 2265, 2277, 2281, 2283, 2289, 2293, 2294, 2298, 2302, 2307], "throughout": [18, 862, 866, 2188, 2196, 2199, 2217, 2249, 2255, 2261, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2307], "throw": [209, 258, 783, 889, 1353, 1368, 2186, 2193, 2197, 2199, 2217, 2218, 2222, 2228, 2232, 2242, 2246, 2265, 2269, 2271, 2277, 2293, 2298, 2302, 2307, 2308], "thrown": [230, 804, 2186, 2197, 2219, 2235, 2238, 2249, 2294, 2298], "thru": 2185, "thu": [2, 7, 10, 17, 18, 34, 203, 251, 376, 699, 884, 1145, 1350, 1388, 1657, 1677, 1699, 1720, 1741, 2186, 2190, 2191, 2195, 2197, 2199, 2208, 2210, 2212, 2217, 2218, 2241, 2254, 2257, 2260, 2261, 2277, 2283, 2298, 2302, 2307], "thumb": [2, 2193], "thur": 1400, "thursdai": [17, 1741, 1793, 1815, 1857, 2108, 2207, 2210], "ti": [176, 179, 205, 378, 417, 465, 489, 778, 1315, 1332, 2246, 2277, 2295], "tic": 2246, "tick": [34, 91, 186, 213, 762, 788, 1188, 1249, 1458, 2172, 2235, 2241, 2264, 2271, 2277, 2278, 2283, 2289, 2294, 2307], "tick_top": 2211, "ticker": [1447, 2200, 2232], "ticket": [24, 25, 28, 29, 32], "ticklabel": [2211, 2218, 2221, 2226, 2228, 2246, 2249], "tickloc": 2218, "tidi": [21, 29, 35, 2254], "tidyvers": 21, "tie": 2259, "tiger": [165, 166, 225, 232, 743, 744, 800, 806, 852, 1178, 1181, 1189, 1200, 1237, 1240, 1250, 1261, 2199], "tight": [130, 252], "tight_layout": 2235, "tighter": 2197, "tild": [2229, 2246], "tile": [2188, 2241], "till": [25, 31], "timdelta64": 2232, "timdeltaindex": 2226, "time": [0, 1, 2, 4, 5, 6, 9, 12, 13, 14, 16, 17, 18, 19, 21, 28, 29, 30, 32, 33, 34, 35, 79, 84, 88, 102, 108, 112, 121, 127, 134, 146, 157, 182, 193, 213, 218, 230, 231, 234, 251, 258, 267, 268, 276, 277, 278, 286, 288, 289, 296, 300, 301, 316, 318, 320, 322, 324, 330, 331, 351, 366, 402, 419, 423, 445, 510, 532, 540, 562, 563, 573, 591, 595, 600, 630, 639, 641, 652, 670, 673, 677, 679, 682, 685, 686, 696, 703, 709, 720, 732, 760, 768, 786, 788, 793, 804, 824, 884, 889, 896, 902, 903, 904, 916, 938, 940, 943, 948, 953, 956, 957, 958, 969, 970, 972, 973, 983, 993, 997, 1003, 1004, 1010, 1013, 1014, 1016, 1019, 1021, 1060, 1078, 1141, 1145, 1158, 1192, 1193, 1253, 1254, 1280, 1343, 1344, 1345, 1391, 1447, 1448, 1456, 1457, 1460, 1464, 1469, 1480, 1482, 1483, 1484, 1485, 1486, 1488, 1490, 1498, 1500, 1578, 1598, 1657, 1677, 1699, 1720, 1741, 2167, 2172, 2185, 2186, 2188, 2191, 2193, 2195, 2196, 2197, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2207, 2211, 2212, 2213, 2214, 2216, 2217, 2218, 2220, 2221, 2222, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2235, 2236, 2238, 2239, 2240, 2241, 2242, 2247, 2248, 2249, 2250, 2253, 2263, 2264, 2265, 2267, 2271, 2275, 2277, 2283, 2287, 2288, 2293, 2298, 2307], "time64": [2203, 2307], "time_rul": [2220, 2246, 2261, 2265], "time_stamp": [268, 1437, 1438, 1439, 2220], "timedelta": [9, 12, 31, 68, 82, 97, 121, 143, 182, 202, 213, 218, 224, 230, 278, 288, 296, 310, 318, 321, 331, 345, 423, 432, 445, 576, 577, 593, 620, 639, 640, 652, 673, 682, 683, 686, 696, 719, 760, 788, 793, 804, 891, 904, 905, 938, 940, 941, 943, 945, 948, 951, 957, 969, 970, 996, 997, 1014, 1020, 1065, 1078, 1109, 1118, 1144, 1145, 1193, 1254, 1344, 1372, 1393, 1436, 1447, 1497, 1498, 1499, 1500, 1502, 1578, 1598, 1657, 1677, 1699, 1720, 1741, 2175, 2185, 2186, 2197, 2199, 2200, 2210, 2212, 2218, 2219, 2220, 2221, 2222, 2224, 2226, 2227, 2228, 2231, 2232, 2235, 2238, 2242, 2243, 2248, 2250, 2266, 2267, 2276, 2290, 2296, 2299, 2300, 2301, 2304, 2308], "timedelta64": [68, 224, 286, 287, 302, 310, 354, 540, 577, 640, 648, 664, 669, 675, 682, 683, 914, 916, 918, 931, 933, 938, 939, 941, 942, 944, 945, 946, 947, 949, 951, 1078, 1097, 1104, 1110, 1113, 1114, 1118, 1142, 1144, 1372, 1497, 1500, 2167, 2185, 2186, 2194, 2201, 2209, 2210, 2217, 2218, 2219, 2220, 2221, 2222, 2226, 2228, 2229, 2230, 2232, 2235, 2238, 2239, 2241, 2246, 2247, 2249, 2265, 2266, 2271, 2277, 2283, 2288, 2289, 2294, 2299, 2302, 2307], "timedelta_rang": [938, 1344, 2186, 2209, 2210, 2222, 2228, 2230, 2238, 2241, 2246, 2265, 2271, 2274, 2298, 2307], "timedeltaarrai": [2, 459, 683, 1090, 1118, 1125, 2167, 2201, 2265, 2271, 2277, 2283, 2289, 2298, 2302, 2307], "timedeltaindex": [12, 213, 286, 287, 288, 296, 302, 310, 318, 354, 423, 540, 639, 648, 652, 664, 669, 673, 675, 683, 788, 1144, 1344, 1367, 1392, 1494, 1496, 1497, 1500, 2172, 2185, 2186, 2196, 2210, 2211, 2218, 2224, 2225, 2226, 2227, 2228, 2230, 2231, 2232, 2233, 2235, 2237, 2238, 2239, 2241, 2246, 2248, 2249, 2265, 2267, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "timedeltaindexresamplergroupbi": [1192, 1253], "timegroup": [345, 1192, 1253, 2195, 2220, 2221, 2226, 2231, 2238, 2239, 2249, 2298], "timeit": [2185, 2193, 2199, 2218], "timenonexist": 2210, "timeop": 2222, "timeout": [16, 17, 18, 19, 2199, 2235], "timeri": 532, "timerul": [2228, 2261], "timeseri": [16, 19, 35, 125, 213, 278, 345, 701, 788, 904, 953, 1271, 1280, 2205, 2209, 2210, 2214, 2216, 2218, 2220, 2221, 2222, 2224, 2228, 2231, 2234, 2235, 2246, 2249, 2261, 2263, 2264, 2265, 2266], "timeseries_wid": 2205, "timespan": [12, 511], "timespec": [983, 2289], "timestamp": [3, 12, 16, 17, 19, 26, 31, 37, 79, 107, 114, 115, 148, 149, 177, 178, 202, 213, 218, 258, 261, 267, 270, 276, 286, 288, 289, 296, 310, 318, 322, 323, 324, 330, 331, 345, 363, 402, 432, 445, 510, 519, 529, 531, 533, 549, 561, 562, 575, 576, 591, 629, 639, 641, 651, 652, 662, 673, 676, 677, 678, 679, 685, 686, 725, 726, 755, 756, 788, 793, 889, 891, 893, 896, 898, 902, 905, 923, 940, 943, 945, 948, 1065, 1078, 1164, 1171, 1176, 1192, 1221, 1228, 1233, 1253, 1278, 1279, 1280, 1393, 1437, 1438, 1439, 1447, 1452, 1459, 1464, 1476, 1482, 1483, 1484, 1498, 1506, 1510, 1511, 1512, 1513, 1514, 1515, 1516, 1524, 1528, 1529, 1530, 1531, 1532, 1533, 1534, 1542, 1546, 1547, 1548, 1549, 1550, 1551, 1552, 1560, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1578, 1584, 1585, 1586, 1587, 1588, 1589, 1590, 1598, 1605, 1606, 1607, 1608, 1609, 1610, 1611, 1620, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1637, 1641, 1642, 1643, 1644, 1645, 1646, 1647, 1657, 1663, 1664, 1665, 1666, 1667, 1668, 1669, 1677, 1684, 1685, 1686, 1687, 1688, 1689, 1690, 1699, 1705, 1706, 1707, 1708, 1709, 1710, 1711, 1720, 1726, 1727, 1728, 1729, 1730, 1731, 1732, 1741, 1745, 1746, 1747, 1748, 1749, 1750, 1751, 1758, 1763, 1764, 1765, 1766, 1767, 1768, 1769, 1776, 1780, 1781, 1782, 1783, 1784, 1785, 1786, 1793, 1799, 1800, 1801, 1802, 1803, 1804, 1805, 1815, 1821, 1822, 1823, 1824, 1825, 1826, 1827, 1839, 1844, 1845, 1846, 1847, 1848, 1849, 1850, 1857, 1861, 1862, 1863, 1864, 1865, 1866, 1867, 1876, 1881, 1882, 1883, 1884, 1885, 1886, 1887, 1894, 1899, 1900, 1901, 1902, 1903, 1904, 1905, 1912, 1917, 1918, 1919, 1920, 1921, 1922, 1923, 1930, 1934, 1935, 1936, 1937, 1938, 1939, 1940, 1947, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1964, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1982, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 2000, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2018, 2023, 2024, 2025, 2026, 2027, 2028, 2029, 2036, 2041, 2042, 2043, 2044, 2045, 2046, 2047, 2054, 2059, 2060, 2061, 2062, 2063, 2064, 2065, 2077, 2078, 2079, 2080, 2081, 2082, 2083, 2090, 2094, 2095, 2096, 2097, 2098, 2099, 2100, 2108, 2112, 2113, 2114, 2115, 2116, 2117, 2118, 2127, 2131, 2132, 2133, 2134, 2135, 2136, 2137, 2145, 2149, 2150, 2151, 2152, 2153, 2154, 2155, 2163, 2167, 2184, 2185, 2186, 2196, 2197, 2199, 2201, 2203, 2205, 2206, 2209, 2212, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2238, 2239, 2241, 2242, 2243, 2246, 2249, 2250, 2261, 2264, 2265, 2267, 2274, 2277, 2283, 2285, 2286, 2288, 2289, 2298, 2299, 2300, 2301, 2302, 2306, 2307, 2308], "timestamptz": [2199, 2307], "timestep": [79, 591, 1280, 1344], "timetupl": 2302, "timetz": [2210, 2246], "timezon": [9, 10, 12, 82, 213, 262, 267, 268, 277, 278, 286, 288, 289, 296, 316, 318, 324, 329, 330, 331, 334, 335, 345, 575, 593, 639, 641, 652, 670, 673, 679, 681, 684, 685, 686, 788, 893, 896, 903, 904, 905, 909, 940, 943, 948, 953, 956, 957, 970, 972, 993, 995, 997, 1010, 1013, 1014, 1018, 1118, 1344, 1469, 1486, 1498, 2167, 2184, 2186, 2210, 2215, 2217, 2220, 2221, 2224, 2225, 2226, 2227, 2228, 2230, 2231, 2232, 2233, 2234, 2235, 2237, 2238, 2239, 2242, 2243, 2247, 2248, 2251, 2288, 2289, 2294, 2295, 2296, 2300], "timothi": 25, "tip": [2, 4, 11, 16, 17, 18, 19, 2207], "tip_rat": 18, "tips2": [16, 19], "tips_df": 17, "tips_first": 16, "tips_sum": [16, 19], "titan": [23, 24, 25, 28, 29, 32, 2218], "titl": [1, 3, 13, 16, 17, 19, 186, 762, 819, 820, 836, 837, 838, 839, 840, 841, 842, 843, 844, 848, 869, 872, 1188, 1249, 1424, 2199, 2207, 2235, 2294], "titlecas": [836, 837, 838, 839, 840, 841, 842, 843, 844, 870], "tm": [2, 268, 1493, 1495, 1496, 2219, 2235, 2241], "tm_hour": [1003, 1021], "tm_isdst": [1003, 1021], "tm_mdai": [1003, 1021], "tm_min": [1003, 1021], "tm_mon": [1003, 1021], "tm_sec": [1003, 1021], "tm_wdai": [1003, 1021], "tm_ydai": [1003, 1021], "tm_year": [1003, 1021], "tmp": [1470, 2199], "tmp2": 2199, "to_": [21, 24, 2302], "to_clipboard": [1378, 1468, 2199, 2217, 2218, 2222, 2230, 2234, 2243, 2249, 2258, 2265, 2283, 2307], "to_concat": 1033, "to_coo": [2206, 2225, 2235, 2283, 2289, 2298], "to_csv": [3, 16, 19, 250, 253, 256, 262, 263, 883, 886, 888, 1354, 1431, 1469, 1470, 1472, 1486, 2184, 2188, 2199, 2216, 2217, 2218, 2220, 2222, 2225, 2227, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2239, 2241, 2242, 2243, 2248, 2249, 2251, 2253, 2254, 2257, 2265, 2266, 2269, 2271, 2278, 2279, 2289, 2292, 2294, 2298, 2302, 2307], "to_datetim": [3, 31, 82, 97, 143, 218, 264, 271, 286, 289, 293, 295, 317, 322, 323, 324, 326, 329, 331, 420, 562, 593, 620, 641, 645, 647, 649, 650, 662, 671, 677, 678, 679, 680, 684, 686, 719, 793, 799, 899, 1000, 1169, 1226, 1276, 1344, 1371, 1469, 1470, 1482, 1483, 1484, 1486, 1499, 1500, 2186, 2199, 2200, 2204, 2210, 2215, 2217, 2218, 2219, 2220, 2222, 2224, 2225, 2230, 2238, 2241, 2246, 2249, 2250, 2261, 2262, 2265, 2266, 2267, 2277, 2283, 2284, 2289, 2294, 2295, 2297, 2298, 2299, 2300, 2302, 2307, 2309], "to_datetime64": [1007, 2225, 2228, 2249], "to_dens": [2206, 2231, 2235, 2246, 2249, 2265, 2271, 2298], "to_dict": [130, 2218, 2222, 2228, 2229, 2232, 2238, 2239, 2241, 2247, 2271, 2277, 2283, 2284, 2294, 2298, 2307, 2308], "to_excel": [17, 24, 251, 339, 341, 884, 1348, 1400, 1403, 1404, 1406, 1470, 2184, 2199, 2207, 2217, 2220, 2222, 2225, 2228, 2229, 2232, 2235, 2238, 2241, 2246, 2249, 2265, 2267, 2271, 2277, 2279, 2280, 2289, 2291, 2294, 2296, 2297, 2298, 2302, 2307], "to_feath": [256, 888, 2199, 2235, 2265, 2271, 2289, 2298, 2302], "to_flat_index": [2246, 2249], "to_fram": [10, 240, 328, 433, 816, 952, 1146, 2185, 2200, 2207, 2218, 2219, 2223, 2231, 2235, 2238, 2241, 2246, 2249, 2277, 2289, 2294, 2298], "to_gbq": [1473, 2199, 2221, 2228, 2229, 2232, 2235, 2241, 2246, 2294, 2307], "to_hdf": [262, 263, 265, 271, 895, 899, 1347, 1474, 2199, 2216, 2217, 2218, 2222, 2225, 2227, 2228, 2232, 2235, 2241, 2249, 2277, 2283, 2295, 2306, 2307], "to_hierarch": [2246, 2265], "to_html": [250, 259, 269, 272, 883, 890, 1394, 1400, 1403, 1406, 1422, 1423, 1424, 1433, 2199, 2207, 2216, 2217, 2219, 2220, 2224, 2225, 2228, 2229, 2230, 2232, 2235, 2236, 2238, 2241, 2246, 2249, 2255, 2265, 2271, 2277, 2281, 2283, 2289, 2292, 2294, 2298, 2302, 2307], "to_json": [252, 272, 1476, 2199, 2217, 2218, 2225, 2227, 2228, 2231, 2232, 2233, 2235, 2238, 2241, 2246, 2248, 2249, 2265, 2267, 2271, 2277, 2280, 2281, 2289, 2290, 2292, 2298, 2302, 2307, 2308], "to_julian_d": 2220, "to_latex": [1400, 1403, 1404, 1406, 2199, 2207, 2217, 2220, 2222, 2228, 2229, 2230, 2232, 2235, 2236, 2237, 2239, 2241, 2246, 2249, 2263, 2265, 2281, 2283, 2289, 2291, 2292, 2294, 2298, 2302, 2307], "to_list": [2209, 2246, 2302], "to_long": [2241, 2257], "to_markdown": [22, 2265, 2271, 2277, 2298, 2307], "to_msgpack": [2218, 2226, 2230, 2239, 2249, 2265], "to_native_typ": [2277, 2298], "to_numer": [82, 97, 143, 593, 620, 719, 2186, 2199, 2203, 2205, 2228, 2230, 2231, 2234, 2235, 2236, 2238, 2249, 2271, 2277, 2283, 2294, 2298, 2299, 2306, 2307], "to_numpi": [142, 282, 437, 477, 575, 590, 779, 909, 1203, 1264, 1395, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2195, 2197, 2208, 2210, 2212, 2246, 2249, 2265, 2271, 2272, 2277, 2289, 2294, 2298, 2299, 2302, 2308], "to_offset": [2172, 2210, 2220, 2225, 2227, 2232, 2241, 2265, 2271, 2298], "to_orc": [256, 263, 888, 2199, 2294, 2302], "to_panda": 2203, "to_panel": [2232, 2257], "to_parquet": [254, 256, 262, 265, 271, 888, 895, 899, 1478, 2184, 2199, 2205, 2238, 2239, 2241, 2246, 2249, 2265, 2269, 2271, 2277, 2289, 2295, 2298, 2302, 2307], "to_period": [16, 17, 19, 2210, 2221, 2229, 2246, 2271, 2298, 2307], "to_perioddelta": [2271, 2298], "to_pickl": [1479, 2199, 2228, 2235, 2238, 2241, 2246, 2265, 2271, 2277, 2279, 2289, 2298, 2302, 2307], "to_pyarrow_typ": 2199, "to_pydatetim": [326, 680, 2197, 2210, 2232, 2261, 2289, 2300, 2302], "to_pytimedelta": 2222, "to_record": [2223, 2232, 2235, 2241, 2246, 2249, 2265, 2271, 2289, 2294], "to_replac": [78, 162, 212, 740, 787, 2201, 2217, 2220, 2229, 2241, 2246, 2267, 2269, 2271, 2277, 2291, 2292, 2298, 2302], "to_seri": [292, 294, 325, 332, 431, 644, 646, 688, 950, 2210, 2216, 2235, 2241, 2246, 2265, 2298], "to_spars": [2225, 2229, 2232, 2246, 2265], "to_sql": [256, 262, 263, 265, 888, 895, 1482, 2188, 2199, 2217, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2228, 2229, 2230, 2231, 2232, 2235, 2241, 2242, 2246, 2271, 2283, 2289, 2293, 2294, 2295, 2297, 2302, 2303, 2304, 2308, 2309], "to_stata": [19, 1360, 1377, 1386, 1437, 1438, 1439, 1485, 2199, 2217, 2220, 2222, 2232, 2234, 2235, 2242, 2246, 2249, 2265, 2271, 2278, 2289, 2294, 2298, 2307], "to_str": [2, 257, 259, 890, 1345, 1391, 1400, 1406, 1488, 1490, 2191, 2199, 2202, 2214, 2220, 2222, 2228, 2230, 2232, 2235, 2246, 2249, 2255, 2257, 2265, 2271, 2277, 2281, 2283, 2289, 2294, 2298, 2300, 2301, 2307], "to_strip": [849, 863, 868], "to_tim": 2298, "to_timedelta": [82, 97, 143, 287, 302, 310, 593, 620, 640, 648, 664, 669, 675, 682, 683, 719, 932, 938, 939, 941, 942, 944, 945, 946, 947, 949, 951, 1498, 1499, 2186, 2210, 2218, 2221, 2222, 2232, 2235, 2238, 2246, 2247, 2248, 2249, 2265, 2271, 2272, 2277, 2283, 2298, 2299, 2300, 2302, 2307], "to_timedelta64": [931, 2224, 2225, 2249], "to_timestamp": [2210, 2221, 2228, 2229, 2232, 2250, 2271, 2277, 2289, 2298, 2307], "to_tupl": 2241, "to_union": [1117, 2188], "to_wid": 2232, "to_xarrai": [2232, 2235, 2241], "to_xml": [22, 2199, 2283, 2284, 2289, 2307], "toast": [359, 360, 587, 588], "toctre": 4, "todai": [34, 2219, 2224, 2228, 2241, 2298, 2306], "todens": [812, 815, 2206, 2225], "todict": 2199, "todo": [2298, 2302], "togeth": [1, 4, 5, 16, 18, 28, 29, 31, 44, 49, 69, 109, 118, 129, 132, 134, 135, 159, 161, 171, 173, 175, 183, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 345, 358, 479, 709, 761, 953, 1142, 1148, 1149, 1152, 1187, 1203, 1207, 1208, 1211, 1248, 1264, 1289, 1398, 1469, 1486, 1487, 2184, 2185, 2193, 2195, 2199, 2204, 2207, 2210, 2211, 2235, 2241, 2265, 2294, 2302], "toggl": [5, 1345, 1391, 1488, 1490, 2202, 2227, 2239], "toi": [114, 148, 149, 177, 178, 725, 726, 755, 756], "token": [2199, 2215, 2220, 2235, 2249, 2300], "tokyo": [956, 1013, 1344, 2207, 2232, 2235], "told": 1499, "toler": [207, 208, 378, 417, 465, 489, 781, 782, 1447, 1493, 1494, 1495, 1496, 2186, 2192, 2197, 2200, 2225, 2228, 2234, 2235, 2238, 2246, 2250, 2265, 2272, 2277, 2283, 2298, 2307], "tolist": [15, 432, 891, 2199, 2222, 2238, 2246, 2289, 2298, 2302], "tolong": 2241, "tom": [13, 35, 2199, 2247, 2248, 2294], "tomaugsburg": 2231, "tomaugspurg": [13, 35], "toml": [2, 22, 2238, 2265], "too": [2, 3, 233, 807, 831, 1196, 1257, 1358, 1469, 1470, 1486, 2197, 2199, 2205, 2207, 2211, 2215, 2217, 2220, 2231, 2241, 2249, 2257, 2274, 2277, 2283, 2289, 2293, 2294, 2298, 2308], "took": [2199, 2223, 2241], "tool": [2, 5, 6, 8, 10, 15, 21, 22, 34, 36, 1146, 1469, 1472, 1486, 2184, 2185, 2186, 2191, 2193, 2195, 2196, 2210, 2220, 2225, 2226, 2232, 2235, 2241, 2246, 2260, 2283, 2298, 2307], "tooltip": [1402, 1423, 2196, 2283], "toordin": 2302, "top": [22, 34, 91, 107, 148, 149, 177, 178, 185, 186, 203, 205, 212, 214, 241, 259, 341, 348, 376, 402, 413, 629, 699, 725, 726, 755, 756, 762, 778, 787, 890, 905, 1036, 1051, 1164, 1188, 1191, 1221, 1249, 1252, 1345, 1387, 1388, 1391, 1400, 1433, 1454, 1458, 1488, 1490, 2167, 2172, 2184, 2186, 2188, 2193, 2195, 2199, 2202, 2204, 2207, 2209, 2211, 2217, 2218, 2220, 2222, 2227, 2230, 2232, 2235, 2238, 2241, 2260, 2264, 2265, 2283, 2289, 2302], "topic": [0, 4, 13, 35, 2185, 2196], "topmost": 2204, "toprul": [259, 890, 1433, 2277], "tor": [718, 2191, 2197, 2231], "torborg": 25, "toronto": 718, "tort": 34, "total": [15, 18, 24, 144, 168, 185, 236, 346, 407, 517, 518, 683, 745, 874, 930, 934, 1269, 1270, 1342, 1395, 1400, 1432, 1434, 1454, 1773, 1854, 1891, 1909, 1927, 1979, 2033, 2087, 2191, 2194, 2195, 2199, 2202, 2205, 2207, 2211, 2215, 2219, 2222, 2226, 2229, 2238, 2247, 2248, 2265, 2294], "total_bil": [16, 17, 18, 19], "total_bill_2": [16, 17, 19], "total_second": [930, 2241], "total_styl": 1395, "tottim": 2193, "toucan": [1170, 1176, 1197, 1227, 1233, 1258, 1277, 1279, 1293], "touch": 2, "toward": [8, 34, 2222, 2246, 2297], "tox": 2217, "tpl": [1405, 1425, 1426, 1427, 1428, 1429, 2207], "tput": 2236, "tq": 268, "tqdm": [255, 1473], "tqdm_gui": 1473, "tqdm_notebook": 1473, "tqueri": [2220, 2232], "tr": [257, 1421, 1422, 1432, 1475, 2199, 2207, 2246], "trace": 2218, "traceback": [3, 15, 16, 17, 18, 19, 169, 184, 209, 362, 383, 418, 1000, 1069, 1071, 1072, 1076, 1117, 1118, 1146, 1346, 1352, 1355, 1356, 1359, 1362, 1363, 1365, 1367, 1369, 1370, 1371, 1372, 1373, 1384, 1385, 1446, 1453, 1459, 1464, 1494, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2194, 2197, 2199, 2200, 2201, 2202, 2203, 2205, 2207, 2208, 2210, 2212, 2218, 2228, 2232, 2235, 2246, 2249, 2265, 2267, 2283, 2294, 2298, 2302, 2307], "track": [11, 16, 2197, 2265, 2296, 2297], "track_tim": [351, 2271], "tracker": [7, 11, 13, 14, 34, 2193, 2214, 2215, 2216, 2217, 2260, 2261, 2263, 2264, 2309, 2310], "tractor": [417, 439], "trade": [1447, 2194, 2200, 2232], "tradit": [22, 2199, 2216, 2246, 2307], "trail": [16, 17, 19, 353, 849, 863, 868, 923, 2208, 2224, 2225, 2226, 2232, 2246, 2277, 2278, 2279, 2283, 2289, 2307], "train": [417, 439, 2184, 2188], "tran": 2218, "transact": [267, 896], "transfer": [16, 17, 18, 19, 2197, 2199, 2235], "transferr": 21, "transform": [31, 34, 72, 73, 77, 78, 79, 121, 123, 134, 162, 209, 210, 218, 252, 272, 541, 581, 582, 586, 591, 696, 698, 709, 783, 784, 793, 973, 1034, 1042, 1148, 1149, 1152, 1207, 1208, 1211, 1269, 1270, 1423, 1470, 1475, 1487, 2184, 2188, 2194, 2196, 2197, 2199, 2200, 2204, 2206, 2207, 2208, 2210, 2218, 2219, 2221, 2222, 2223, 2226, 2228, 2230, 2231, 2232, 2233, 2234, 2235, 2238, 2241, 2246, 2248, 2249, 2250, 2257, 2265, 2271, 2277, 2279, 2280, 2286, 2292, 2297, 2298, 2302, 2307], "transit": [278, 286, 288, 296, 318, 331, 639, 652, 673, 686, 904, 940, 943, 948, 957, 970, 997, 2210, 2218, 2222, 2225, 2241, 2243, 2246, 2249, 2271, 2277, 2288, 2289, 2294, 2298], "translat": [15, 22, 32, 77, 586, 1064, 1422, 1423, 1433, 2207, 2208, 2218, 2220, 2226, 2306], "transmiss": [2199, 2249, 2277], "transpar": [1465, 2218, 2222, 2230, 2238], "transport": 16, "transpos": [64, 186, 218, 246, 355, 574, 762, 793, 1188, 1249, 1406, 1478, 2172, 2184, 2186, 2195, 2211, 2218, 2220, 2232, 2249, 2263, 2265, 2277, 2283, 2284, 2298, 2302, 2308], "travers": [353, 1387, 2185, 2199], "travi": [4, 2218], "treat": [16, 19, 39, 44, 46, 49, 61, 62, 75, 76, 111, 134, 146, 169, 203, 212, 223, 251, 345, 364, 584, 585, 599, 614, 615, 709, 720, 787, 789, 798, 823, 857, 866, 874, 884, 1043, 1076, 1280, 1345, 1391, 1446, 1469, 1476, 1486, 1488, 1490, 2185, 2186, 2187, 2188, 2191, 2195, 2197, 2199, 2201, 2202, 2207, 2208, 2210, 2214, 2216, 2217, 2218, 2219, 2220, 2221, 2226, 2228, 2230, 2231, 2232, 2238, 2241, 2246, 2249, 2250, 2263, 2265, 2267, 2271, 2277, 2283, 2288, 2289, 2292, 2294, 2298, 2300, 2302, 2304, 2307], "treatment": [2186, 2191, 2220, 2283], "tree": [22, 272, 1387, 2186, 2199, 2207, 2294], "trelli": 2225, "tremend": 2210, "tri": [2, 302, 944, 1148, 1149, 1203, 1207, 1208, 1264, 1387, 1475, 2184, 2186, 2195, 2197, 2199, 2205, 2211, 2238, 2249, 2253, 2294], "triag": 11, "triager": 13, "trial": 2211, "triang": [2212, 2222], "triangl": [69, 109, 129, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 272, 275, 1487, 2199, 2283, 2294], "trick": [4, 5, 13, 2192], "tricki": [3, 2190, 2205], "trigger": [2, 5, 7, 13, 2186, 2190, 2199, 2217, 2222, 2232, 2238, 2246, 2248, 2297, 2298], "trim": [17, 92, 616, 1345, 1391, 1394, 1488, 1490, 2202, 2207, 2246, 2249, 2289], "trip": [1469, 1486, 2199, 2231, 2241, 2283, 2307], "trippabl": 2199, "trivial": [1, 2185, 2195, 2283], "troubl": 2207, "troubleshoot": 2193, "true": [3, 5, 12, 15, 16, 17, 18, 19, 25, 26, 27, 28, 29, 30, 32, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 61, 62, 63, 66, 74, 75, 76, 77, 82, 87, 89, 90, 91, 92, 94, 96, 97, 98, 101, 103, 104, 105, 106, 111, 112, 114, 116, 117, 118, 119, 120, 121, 123, 124, 125, 126, 132, 134, 135, 137, 139, 140, 141, 143, 144, 145, 146, 147, 148, 149, 152, 155, 156, 159, 160, 161, 163, 164, 165, 166, 167, 168, 169, 170, 172, 175, 177, 178, 179, 180, 181, 185, 186, 187, 188, 189, 195, 196, 200, 201, 203, 205, 207, 208, 209, 210, 212, 214, 218, 223, 224, 225, 226, 227, 228, 232, 233, 234, 241, 242, 245, 250, 251, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 266, 267, 268, 269, 270, 272, 274, 276, 277, 278, 279, 280, 281, 283, 284, 285, 286, 288, 296, 301, 303, 304, 305, 306, 307, 308, 309, 310, 318, 321, 325, 331, 341, 342, 345, 346, 351, 354, 356, 357, 359, 360, 364, 367, 373, 375, 376, 382, 384, 385, 386, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 406, 408, 413, 414, 415, 418, 420, 421, 427, 429, 430, 431, 434, 436, 445, 447, 448, 449, 453, 454, 455, 459, 461, 466, 467, 468, 469, 473, 476, 478, 492, 493, 500, 501, 502, 505, 523, 555, 583, 584, 585, 586, 587, 588, 593, 598, 599, 601, 602, 603, 606, 607, 608, 610, 614, 615, 616, 619, 620, 621, 625, 626, 627, 628, 633, 634, 636, 639, 652, 655, 656, 657, 658, 659, 660, 661, 673, 686, 692, 693, 694, 695, 696, 698, 699, 700, 701, 702, 705, 707, 709, 710, 711, 713, 715, 716, 717, 719, 720, 721, 722, 723, 724, 725, 726, 730, 731, 734, 738, 739, 741, 742, 743, 744, 745, 746, 748, 753, 755, 756, 758, 759, 762, 763, 764, 765, 770, 771, 774, 775, 778, 781, 782, 783, 784, 787, 789, 793, 798, 799, 800, 801, 802, 806, 807, 808, 812, 815, 817, 823, 827, 828, 832, 836, 837, 838, 839, 840, 841, 842, 843, 844, 849, 850, 853, 857, 861, 862, 863, 866, 867, 868, 873, 879, 880, 883, 884, 886, 888, 889, 890, 892, 893, 894, 896, 897, 898, 902, 903, 904, 905, 906, 908, 910, 912, 913, 917, 940, 943, 945, 948, 950, 954, 957, 970, 975, 976, 977, 978, 979, 980, 981, 997, 1009, 1032, 1035, 1037, 1038, 1040, 1041, 1044, 1045, 1049, 1050, 1051, 1052, 1055, 1056, 1064, 1076, 1077, 1078, 1079, 1080, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1092, 1093, 1094, 1095, 1096, 1097, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1117, 1118, 1121, 1123, 1124, 1125, 1127, 1131, 1132, 1136, 1139, 1143, 1145, 1146, 1148, 1149, 1150, 1151, 1152, 1154, 1159, 1166, 1167, 1168, 1169, 1173, 1174, 1175, 1177, 1178, 1179, 1181, 1182, 1184, 1188, 1191, 1192, 1193, 1194, 1197, 1198, 1199, 1200, 1203, 1204, 1205, 1207, 1208, 1209, 1210, 1211, 1216, 1223, 1224, 1225, 1226, 1230, 1231, 1232, 1234, 1235, 1236, 1237, 1238, 1240, 1241, 1245, 1249, 1252, 1253, 1254, 1255, 1258, 1259, 1260, 1261, 1264, 1266, 1267, 1276, 1281, 1293, 1298, 1299, 1300, 1302, 1305, 1306, 1308, 1310, 1311, 1312, 1313, 1315, 1318, 1319, 1320, 1322, 1323, 1325, 1327, 1328, 1329, 1330, 1332, 1335, 1336, 1337, 1342, 1343, 1345, 1347, 1350, 1358, 1387, 1388, 1390, 1391, 1394, 1406, 1421, 1423, 1431, 1433, 1436, 1441, 1442, 1443, 1444, 1445, 1446, 1447, 1449, 1450, 1454, 1458, 1461, 1462, 1465, 1467, 1469, 1470, 1471, 1473, 1475, 1476, 1478, 1480, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1489, 1490, 1491, 1493, 1494, 1495, 1496, 1498, 1501, 1509, 1511, 1512, 1514, 1516, 1527, 1529, 1530, 1532, 1534, 1545, 1547, 1548, 1550, 1552, 1563, 1565, 1566, 1568, 1570, 1578, 1583, 1585, 1586, 1588, 1590, 1598, 1604, 1606, 1607, 1609, 1611, 1623, 1625, 1626, 1628, 1630, 1640, 1642, 1643, 1645, 1647, 1662, 1664, 1665, 1667, 1669, 1683, 1685, 1686, 1688, 1690, 1704, 1706, 1707, 1709, 1711, 1725, 1727, 1728, 1730, 1732, 1744, 1746, 1747, 1749, 1751, 1764, 1765, 1767, 1769, 1779, 1781, 1782, 1784, 1786, 1798, 1800, 1801, 1803, 1805, 1820, 1822, 1823, 1825, 1827, 1845, 1846, 1848, 1850, 1860, 1862, 1863, 1865, 1867, 1882, 1883, 1885, 1887, 1900, 1901, 1903, 1905, 1918, 1919, 1921, 1923, 1933, 1935, 1936, 1938, 1940, 1950, 1952, 1953, 1955, 1957, 1970, 1971, 1973, 1975, 1985, 1987, 1988, 1990, 1992, 2003, 2005, 2006, 2008, 2010, 2024, 2025, 2027, 2029, 2040, 2042, 2043, 2045, 2047, 2058, 2060, 2061, 2063, 2065, 2078, 2079, 2081, 2083, 2093, 2095, 2096, 2098, 2100, 2111, 2113, 2114, 2116, 2118, 2130, 2132, 2133, 2135, 2137, 2148, 2150, 2151, 2153, 2155, 2163, 2164, 2165, 2167, 2184, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2246, 2247, 2248, 2249, 2250, 2260, 2261, 2263, 2264, 2265, 2266, 2267, 2269, 2271, 2272, 2273, 2274, 2277, 2278, 2281, 2282, 2283, 2284, 2285, 2287, 2289, 2290, 2291, 2295, 2298, 2299, 2301, 2302, 2303, 2304, 2307, 2308], "true_": [2186, 2193, 2194], "true_valu": [16, 17, 18, 19, 339, 1469, 1470, 1486, 2199, 2203, 2214, 2231, 2232, 2235, 2283, 2298], "truediv": [69, 109, 129, 171, 173, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 631, 780, 797, 2265, 2298], "truedivis": 2218, "truli": 873, "trump": 2207, "truncat": [16, 17, 19, 144, 251, 269, 501, 681, 884, 897, 916, 1031, 1345, 1391, 1488, 1490, 1500, 2184, 2191, 2199, 2202, 2212, 2218, 2220, 2222, 2225, 2226, 2230, 2232, 2235, 2241, 2246, 2265, 2266, 2271, 2272, 2277, 2278, 2289, 2294, 2302, 2307], "trust": [2197, 2199, 2261], "truth": [2, 1150, 1151, 1209, 1210, 2184, 2186, 2196, 2201, 2218, 2222], "truthi": [356, 357, 2186, 2195, 2221], "try": [2, 3, 4, 5, 10, 13, 16, 17, 18, 19, 22, 32, 77, 89, 124, 125, 214, 263, 341, 377, 586, 601, 700, 701, 911, 1094, 1152, 1167, 1211, 1224, 1345, 1350, 1351, 1357, 1358, 1364, 1368, 1376, 1380, 1381, 1391, 1469, 1470, 1472, 1475, 1476, 1478, 1486, 1487, 1488, 1490, 2184, 2185, 2186, 2188, 2191, 2193, 2194, 2195, 2197, 2199, 2201, 2202, 2203, 2205, 2207, 2209, 2210, 2211, 2212, 2216, 2217, 2218, 2219, 2220, 2222, 2224, 2225, 2226, 2228, 2230, 2232, 2235, 2239, 2241, 2246, 2254, 2261, 2265, 2272, 2275, 2277, 2289, 2294, 2298, 2299, 2301, 2302, 2306, 2307], "try_cast": [2283, 2298], "tr\u00e4umen": 2199, "ts2": [2186, 2201, 2205, 2210, 2298], "ts_input": [953, 2302, 2306], "ts_stand": 2186, "ts_tz": [957, 970, 997], "ts_utc": [2184, 2210], "ts_wide": 2205, "tsdf": 2186, "tseri": [2, 230, 804, 1141, 1344, 2172, 2210, 2217, 2218, 2220, 2221, 2222, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2239, 2241, 2265, 2271, 2298, 2307], "tshift": [2218, 2228, 2261, 2271, 2277, 2298], "tslib": [2, 2210, 2218, 2222, 2235, 2246], "tsplot": [2241, 2265], "tst": 1, "tt": [1423, 2199, 2207], "ttip": 1423, "tu": 1741, "tue": [1145, 1400, 1657, 1677, 1699, 1720, 2186, 2195, 2210, 2217, 2227], "tuesdai": [291, 643, 1741, 1793, 1815, 1857, 2090, 2108, 2207, 2210, 2231], "tumour": 2207, "tuna": [1186, 1195, 1196, 1247, 1256, 1257, 1292], "tune": [144, 184, 1453], "tunnel": 13, "tup": [2185, 2197], "tupl": [3, 15, 63, 74, 77, 83, 91, 96, 111, 123, 130, 131, 134, 137, 141, 150, 151, 152, 160, 167, 183, 186, 190, 192, 207, 208, 212, 214, 229, 253, 257, 259, 269, 274, 285, 358, 378, 380, 401, 405, 417, 422, 426, 462, 463, 464, 465, 476, 478, 479, 482, 485, 486, 487, 488, 489, 491, 492, 493, 494, 495, 504, 506, 517, 583, 586, 594, 603, 619, 662, 698, 709, 713, 717, 728, 738, 761, 762, 766, 781, 782, 787, 789, 803, 815, 827, 833, 846, 853, 861, 867, 886, 890, 913, 982, 1003, 1021, 1031, 1062, 1068, 1076, 1101, 1102, 1128, 1129, 1130, 1139, 1146, 1148, 1149, 1152, 1154, 1173, 1187, 1188, 1211, 1230, 1248, 1249, 1289, 1305, 1322, 1394, 1398, 1415, 1417, 1421, 1423, 1431, 1433, 1445, 1447, 1455, 1458, 1461, 1463, 1465, 1472, 1478, 1482, 1483, 1498, 1499, 2163, 2185, 2186, 2193, 2195, 2197, 2199, 2200, 2204, 2207, 2208, 2211, 2212, 2217, 2218, 2219, 2220, 2221, 2222, 2227, 2228, 2231, 2232, 2233, 2235, 2236, 2237, 2238, 2241, 2242, 2246, 2249, 2254, 2255, 2257, 2258, 2261, 2263, 2265, 2271, 2274, 2276, 2277, 2283, 2285, 2289, 2294, 2298, 2302, 2303, 2307], "tuple_ind": 2220, "tupleize_col": [354, 2203, 2217, 2218, 2238, 2249, 2298], "turbodbc": 2283, "turn": [4, 8, 39, 77, 97, 134, 620, 709, 724, 2190, 2197, 2199, 2207, 2211, 2220, 2235, 2242, 2246, 2285, 2289, 2298], "turtl": [1161, 1218], "tutori": [1, 4, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 36, 862, 866, 2193, 2219, 2231], "tuvalu": [176, 179, 754, 757, 1242, 1243], "tv": [176, 179], "tw": 268, "tweak": [34, 91, 1458, 2199, 2213], "twice": [953, 2210, 2224, 2249, 2289, 2298, 2302], "twin": 2277, "twine": 13, "twinx": [2211, 2234], "twitter": 13, "two": [3, 4, 5, 6, 10, 12, 13, 15, 16, 17, 18, 19, 25, 28, 29, 30, 32, 34, 55, 63, 74, 88, 94, 95, 96, 99, 100, 119, 126, 153, 167, 169, 172, 182, 184, 185, 192, 193, 197, 202, 207, 209, 210, 212, 213, 228, 247, 279, 342, 345, 367, 375, 380, 386, 389, 429, 434, 455, 462, 469, 473, 500, 501, 505, 506, 573, 583, 597, 600, 617, 618, 619, 622, 624, 682, 695, 702, 760, 768, 776, 781, 784, 787, 788, 789, 807, 821, 828, 829, 846, 853, 857, 861, 880, 906, 916, 938, 953, 1031, 1064, 1117, 1118, 1128, 1136, 1141, 1145, 1146, 1152, 1155, 1156, 1179, 1190, 1203, 1211, 1213, 1215, 1238, 1251, 1280, 1314, 1328, 1331, 1342, 1343, 1344, 1382, 1394, 1403, 1407, 1440, 1445, 1446, 1452, 1453, 1454, 1469, 1472, 1476, 1484, 1486, 1487, 1493, 1494, 1741, 1793, 1815, 2036, 2054, 2166, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2195, 2197, 2199, 2202, 2204, 2205, 2206, 2207, 2208, 2210, 2212, 2215, 2218, 2219, 2220, 2221, 2222, 2228, 2231, 2232, 2235, 2236, 2238, 2241, 2242, 2249, 2253, 2254, 2260, 2261, 2265, 2267, 2277, 2282, 2283, 2289, 2294, 2298, 2302, 2303, 2307], "two_business_dai": 2210, "two_group": 2208, "tx": 1473, "txt": [1, 5, 22, 144, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2244, 2245, 2246, 2249, 2250, 2251, 2252, 2253, 2254, 2255, 2256, 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, 2310], "ty": [268, 2201], "typ": [1, 1476, 2199, 2214, 2294], "type": [1, 6, 8, 9, 11, 12, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 28, 34, 35, 37, 39, 44, 46, 49, 63, 72, 73, 74, 77, 82, 89, 90, 91, 92, 97, 98, 107, 115, 119, 121, 122, 124, 125, 126, 128, 130, 133, 134, 136, 141, 142, 143, 145, 146, 151, 153, 158, 163, 169, 172, 176, 182, 183, 185, 195, 205, 207, 208, 209, 210, 212, 213, 214, 218, 223, 224, 226, 227, 238, 248, 249, 252, 255, 256, 258, 261, 266, 267, 268, 273, 274, 276, 278, 282, 284, 286, 287, 288, 296, 306, 307, 308, 309, 316, 318, 328, 331, 334, 341, 345, 347, 354, 364, 366, 368, 370, 376, 377, 378, 386, 387, 391, 392, 393, 394, 395, 398, 399, 404, 417, 418, 421, 425, 430, 432, 433, 445, 457, 459, 462, 465, 478, 483, 489, 490, 500, 503, 509, 538, 540, 568, 573, 576, 583, 586, 590, 593, 601, 602, 616, 620, 621, 629, 639, 652, 658, 659, 660, 661, 670, 673, 682, 683, 686, 695, 696, 697, 699, 700, 701, 702, 704, 708, 709, 712, 717, 718, 719, 720, 733, 741, 760, 761, 770, 778, 781, 782, 784, 785, 787, 788, 793, 798, 801, 802, 809, 821, 824, 845, 862, 865, 866, 875, 877, 881, 882, 885, 888, 889, 891, 893, 896, 900, 902, 904, 905, 907, 911, 912, 914, 932, 938, 939, 940, 943, 948, 952, 953, 1031, 1032, 1033, 1035, 1036, 1037, 1038, 1040, 1045, 1051, 1053, 1064, 1065, 1068, 1076, 1118, 1123, 1124, 1125, 1128, 1142, 1146, 1164, 1167, 1170, 1187, 1190, 1192, 1193, 1194, 1221, 1224, 1227, 1248, 1251, 1253, 1254, 1255, 1277, 1289, 1298, 1299, 1300, 1301, 1302, 1303, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1343, 1345, 1352, 1354, 1359, 1388, 1389, 1390, 1391, 1393, 1415, 1422, 1432, 1436, 1441, 1442, 1446, 1448, 1449, 1450, 1454, 1458, 1459, 1465, 1467, 1468, 1469, 1470, 1471, 1472, 1474, 1475, 1476, 1477, 1478, 1479, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1490, 1494, 1498, 1499, 1500, 1741, 2171, 2172, 2174, 2179, 2180, 2183, 2184, 2186, 2188, 2191, 2192, 2195, 2196, 2197, 2201, 2202, 2203, 2204, 2205, 2207, 2209, 2210, 2211, 2212, 2213, 2215, 2216, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2233, 2234, 2236, 2239, 2242, 2247, 2248, 2250, 2253, 2254, 2257, 2261, 2262, 2263, 2266, 2269, 2271, 2273, 2275, 2278, 2285, 2286, 2287, 2289, 2290, 2292, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2308, 2309], "type_check": 2212, "type_for_alia": [2194, 2201, 2203, 2294, 2302, 2307], "typecast": [2199, 2283], "typeclass": 2194, "typecod": 1045, "typeerror": [2, 39, 49, 84, 88, 127, 157, 176, 212, 277, 278, 330, 331, 364, 367, 389, 417, 418, 429, 434, 462, 595, 600, 637, 685, 686, 703, 724, 732, 787, 903, 904, 956, 1013, 1014, 1041, 1053, 1078, 1094, 1116, 1117, 1128, 1152, 1192, 1211, 1253, 1389, 1392, 1459, 1464, 2185, 2186, 2188, 2191, 2194, 2197, 2199, 2201, 2203, 2208, 2217, 2218, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2233, 2235, 2236, 2238, 2239, 2241, 2242, 2246, 2249, 2251, 2263, 2265, 2266, 2267, 2269, 2271, 2272, 2273, 2274, 2275, 2277, 2278, 2283, 2284, 2285, 2286, 2289, 2293, 2294, 2295, 2298, 2299, 2302, 2304, 2305, 2307, 2308], "types_mapp": 2203, "typic": [1, 2, 13, 17, 18, 28, 31, 34, 241, 251, 341, 420, 459, 478, 586, 799, 884, 1061, 1424, 1435, 1498, 2166, 2185, 2191, 2192, 2193, 2197, 2199, 2204, 2206, 2230, 2232, 2235, 2238, 2249, 2257, 2260, 2265, 2304, 2307], "typo": [13, 36], "tz": [31, 37, 224, 277, 278, 286, 288, 296, 316, 318, 330, 331, 334, 336, 575, 590, 639, 652, 670, 673, 685, 686, 893, 903, 904, 905, 909, 940, 943, 948, 953, 956, 957, 969, 970, 972, 973, 992, 993, 995, 997, 1004, 1010, 1013, 1014, 1016, 1018, 1019, 1020, 1021, 1085, 1088, 1122, 1145, 1344, 2163, 2167, 2186, 2199, 2210, 2217, 2219, 2220, 2221, 2222, 2224, 2226, 2229, 2230, 2231, 2232, 2234, 2235, 2238, 2239, 2241, 2242, 2243, 2246, 2249, 2265, 2266, 2267, 2269, 2271, 2273, 2277, 2278, 2283, 2289, 2290, 2298, 2300, 2302, 2303, 2307], "tz1": 2218, "tz2": 2218, "tz_awar": [331, 686], "tz_aware_d": 2186, "tz_convert": [331, 686, 956, 2184, 2186, 2199, 2210, 2218, 2220, 2222, 2232, 2235, 2246, 2249, 2261, 2283, 2289, 2298, 2302], "tz_convert_singl": 2222, "tz_dateutil": 2210, "tz_local": [82, 330, 593, 685, 957, 970, 997, 1344, 2184, 2186, 2210, 2218, 2220, 2221, 2222, 2228, 2230, 2232, 2235, 2241, 2246, 2249, 2261, 2265, 2271, 2283, 2289, 2294, 2298, 2299, 2307], "tz_localize_to_utc": 2210, "tz_naiv": [331, 686], "tz_out": 2210, "tz_pars": 2210, "tz_pytz": 2210, "tz_str": 2271, "tz_to_dtyp": 2210, "tzconvers": 2210, "tzdata": [22, 2294, 2298, 2307], "tzfile": [286, 329, 330, 331, 684, 685, 686, 953, 956, 972, 1013, 1014, 2210, 2221], "tzinfo": [277, 278, 286, 324, 329, 330, 331, 334, 575, 679, 684, 685, 686, 903, 904, 953, 983, 995, 1001, 1004, 1012, 1344, 2210, 2221, 2222, 2238, 2239, 2241, 2283, 2294, 2303], "tzlocal": [2232, 2246, 2298], "tzname": 2294, "tzoffset": 2222, "tzser": 575, "tzutc": [2210, 2246], "u": [1, 3, 4, 5, 7, 13, 17, 18, 31, 203, 258, 287, 311, 330, 331, 532, 663, 664, 685, 686, 889, 905, 909, 916, 917, 918, 920, 921, 927, 930, 938, 939, 941, 946, 953, 954, 957, 995, 1017, 1085, 1087, 1088, 1204, 1476, 1482, 1483, 1484, 1498, 1500, 2163, 2184, 2185, 2186, 2193, 2194, 2195, 2199, 2203, 2205, 2207, 2208, 2209, 2210, 2218, 2222, 2226, 2228, 2230, 2235, 2238, 2241, 2246, 2249, 2294, 2298, 2302, 2307], "u1": [131, 1118, 2185, 2186, 2199], "u4": 2197, "u5": 2197, "u8": 2186, "ubuntu": 5, "udf": [72, 73, 77, 273, 581, 582, 586, 900, 1148, 1149, 1152, 1168, 1203, 1207, 1208, 1211, 1225, 1264, 1269, 1270, 1304, 1321, 2195, 2196, 2294], "ufunc": [10, 586, 808, 1031, 2185, 2186, 2191, 2206, 2213, 2219, 2221, 2232, 2246, 2265, 2277, 2281, 2289, 2293, 2294, 2298, 2307], "uint": [2289, 2298], "uint16": [9, 1027, 1124, 2167, 2186, 2199, 2205, 2222, 2288, 2298], "uint16dtyp": [441, 442, 443, 444, 1028, 1029, 1030, 2167], "uint32": [9, 662, 1028, 1095, 1110, 1115, 2167, 2186, 2199, 2222, 2230, 2288, 2298], "uint32dtyp": [441, 442, 443, 444, 1027, 1029, 1030, 2167], "uint64": [9, 238, 282, 354, 364, 375, 1029, 1034, 1039, 1043, 1095, 1097, 1104, 1110, 1115, 1499, 2164, 2165, 2167, 2186, 2199, 2203, 2232, 2241, 2246, 2249, 2265, 2271, 2283, 2289, 2294, 2298, 2302, 2307], "uint64_idx": 375, "uint64dtyp": [441, 442, 443, 444, 1027, 1028, 1030, 1115, 2167], "uint64index": [2235, 2241, 2265, 2283, 2298], "uint8": [9, 108, 282, 354, 630, 1030, 1115, 1485, 1499, 2167, 2186, 2199, 2203, 2216, 2222, 2228, 2232, 2241, 2288, 2298], "uint8dtyp": [441, 442, 443, 444, 1027, 1028, 1029, 1115, 2167], "ujson": [1476, 2199, 2271], "uk": [2195, 2202, 2228], "ulonglong": 2186, "ultim": [2, 16, 19, 2199], "ultrafast": 34, "ultrajson": 2249, "un": [2202, 2298], "unabl": [13, 2184, 2199, 2205, 2228, 2232, 2246, 2265, 2271], "unaffect": [316, 670, 2188, 2214, 2271], "unalign": [160, 738, 1358, 2184, 2186, 2191, 2193, 2307], "unalt": [316, 670, 1390, 1469, 1470, 1486, 2199, 2204], "unambigu": [2, 1402, 1500, 2202, 2210, 2298], "unapp": 2249, "unari": [2215, 2229, 2241, 2243, 2246, 2264, 2274, 2280, 2283, 2289], "unassign": 1, "unavail": [263, 1478], "unavoid": [2, 2210], "unawar": [267, 331, 686, 896, 2210, 2246, 2249], "unbias": [102, 155, 156, 225, 232, 283, 624, 730, 731, 800, 806, 910, 1158, 1198, 1215, 1259, 1317, 1334, 2186, 2194, 2212], "unblock": 2236, "unbound": 865, "unboundlocalerror": [2231, 2232, 2236, 2272, 2274, 2294], "unbox": 10, "uncaught": 2228, "uncertainti": [1457, 2211], "unchang": [98, 123, 143, 240, 573, 621, 698, 719, 816, 874, 1034, 1406, 2186, 2190, 2193, 2216, 2217, 2218, 2220, 2222, 2226, 2228, 2230, 2232, 2235, 2238, 2240, 2246, 2249, 2271, 2283], "uncheck": 1, "unclear": [0, 2186, 2194, 2224, 2246, 2289], "unclos": 2289, "uncomfort": 2202, "uncommit": 1, "uncompress": 2242, "uncondition": 2192, "uncontrol": [2241, 2294], "unconvert": [143, 719], "uncount": 101, "undefin": [1383, 2193, 2218, 2265, 2277], "undefinedvariableerror": 2294, "undeprec": [2223, 2249], "under": [2, 3, 5, 13, 191, 192, 194, 212, 214, 258, 303, 304, 305, 306, 307, 308, 309, 316, 655, 656, 657, 658, 659, 660, 661, 670, 683, 767, 769, 787, 889, 1069, 1071, 1072, 1121, 1350, 1403, 1444, 1487, 2166, 2169, 2180, 2184, 2188, 2190, 2197, 2199, 2210, 2214, 2217, 2219, 2229, 2230, 2232, 2235, 2238, 2241, 2243, 2246, 2283, 2289, 2294, 2298], "underflow": 2233, "undergon": 2220, "underl": 2223, "underli": [2, 7, 9, 10, 39, 49, 98, 209, 210, 226, 264, 270, 277, 278, 341, 372, 390, 403, 411, 412, 422, 424, 437, 477, 484, 617, 621, 690, 691, 718, 727, 751, 752, 779, 783, 784, 801, 803, 805, 880, 893, 903, 904, 909, 911, 914, 917, 937, 954, 1032, 1037, 1038, 1042, 1067, 1118, 1122, 1144, 1165, 1174, 1175, 1191, 1194, 1196, 1198, 1202, 1222, 1252, 1255, 1257, 1259, 1263, 1397, 1415, 1416, 1422, 1423, 1430, 1475, 1487, 2172, 2184, 2188, 2190, 2191, 2193, 2194, 2196, 2199, 2204, 2207, 2210, 2211, 2212, 2218, 2221, 2222, 2224, 2227, 2228, 2232, 2239, 2241, 2246, 2249, 2250, 2265, 2268, 2271, 2273, 2277, 2283, 2289, 2294, 2295, 2298, 2302, 2307], "underreport": 2223, "underscor": [152, 203, 272, 1389, 2186, 2199, 2208, 2228, 2289, 2304], "understand": [1, 2, 3, 13, 16, 19, 36, 102, 212, 787, 1158, 1354, 2190, 2197, 2199, 2226, 2246, 2249, 2271], "understood": [10, 2188], "undertak": 2194, "undesir": [2, 2215, 2238, 2249, 2283], "undocu": [2214, 2222], "unenclos": 2199, "unencod": [2229, 2231], "unequ": [41, 53, 608, 1395, 2188, 2199, 2208, 2226, 2265, 2271, 2275, 2289, 2302], "uneven": 2289, "unexpect": [2, 18, 72, 73, 77, 169, 273, 581, 582, 586, 900, 1148, 1149, 1152, 1168, 1203, 1207, 1208, 1211, 1225, 1264, 1269, 1270, 1304, 1321, 1446, 1498, 2185, 2194, 2195, 2197, 2199, 2200, 2210, 2219, 2222, 2226, 2228, 2238, 2241, 2246, 2271, 2283, 2294, 2295, 2302], "unexpectedli": [2220, 2231, 2238, 2246], "unfamiliar": [5, 2199], "unfil": 2289, "unfortun": [6, 8, 2208, 2228, 2232], "ungrac": 2280, "ungroup": 2231, "unhandl": [1348, 2199, 2246, 2249], "unhash": [2269, 2283], "unhelp": [2232, 2234, 2235, 2238, 2241, 2271], "unicod": [9, 16, 17, 19, 257, 259, 268, 269, 836, 837, 838, 839, 840, 841, 842, 843, 844, 851, 871, 890, 1345, 1391, 1488, 1490, 2196, 2208, 2214, 2219, 2220, 2222, 2226, 2229, 2230, 2232, 2233, 2234, 2235, 2238, 2239, 2241, 2246, 2263, 2265, 2271], "unicodedata": [851, 2208], "unicodedecodeerror": [2232, 2267, 2278, 2287, 2298], "unicodeencodeerror": [2220, 2229], "unicodeerror": [2235, 2246], "unifi": [2218, 2226, 2242, 2257], "uniform": [3, 13, 15, 192, 1343, 1354, 1457, 2201, 2211, 2226, 2232, 2246, 2279], "unilev": 1433, "uninform": 2249, "uninstal": [5, 22], "unintend": [268, 2186], "unintendedli": 2210, "unintent": 2241, "unintention": [13, 1380, 1381, 2220, 2241, 2273], "unintuit": 2292, "union": [2, 20, 30, 69, 74, 94, 95, 107, 109, 118, 129, 132, 135, 153, 159, 161, 169, 171, 173, 175, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 405, 573, 583, 618, 629, 1117, 1141, 1164, 1221, 1446, 1448, 2184, 2186, 2191, 2192, 2197, 2199, 2200, 2201, 2208, 2210, 2218, 2221, 2222, 2225, 2227, 2228, 2232, 2235, 2241, 2246, 2247, 2253, 2254, 2257, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2301, 2307], "union_categor": [2188, 2232, 2235, 2241], "union_mani": [2289, 2298], "uniqu": [7, 10, 12, 17, 31, 39, 41, 44, 46, 47, 49, 53, 60, 101, 107, 112, 123, 153, 169, 184, 209, 253, 281, 342, 376, 379, 382, 383, 384, 400, 414, 417, 425, 426, 436, 466, 478, 487, 494, 573, 608, 613, 629, 634, 699, 723, 758, 783, 886, 908, 1031, 1036, 1043, 1051, 1146, 1164, 1182, 1184, 1204, 1221, 1241, 1245, 1287, 1343, 1365, 1388, 1394, 1431, 1436, 1446, 1453, 1467, 1469, 1476, 1486, 1498, 2166, 2184, 2185, 2186, 2188, 2191, 2192, 2195, 2197, 2199, 2204, 2205, 2207, 2208, 2213, 2215, 2216, 2217, 2218, 2220, 2221, 2222, 2223, 2224, 2225, 2229, 2231, 2236, 2237, 2238, 2239, 2241, 2243, 2248, 2249, 2255, 2264, 2265, 2271, 2273, 2277, 2294, 2298, 2302, 2307, 2308], "unique_index": 382, "unit": [2, 9, 22, 29, 31, 121, 144, 182, 257, 258, 287, 310, 334, 640, 648, 664, 669, 675, 682, 683, 696, 760, 889, 916, 917, 918, 919, 922, 927, 929, 930, 938, 939, 942, 945, 946, 947, 949, 951, 953, 954, 957, 970, 997, 1012, 1087, 1344, 1345, 1372, 1391, 1459, 1463, 1464, 1476, 1488, 1490, 1494, 1497, 1498, 1500, 1509, 1527, 1545, 1563, 1583, 1604, 1623, 1640, 1662, 1683, 1704, 1725, 1744, 1779, 1798, 1820, 1860, 1933, 1950, 1985, 2003, 2040, 2058, 2093, 2111, 2130, 2148, 2194, 2199, 2202, 2209, 2210, 2211, 2212, 2218, 2221, 2222, 2223, 2224, 2225, 2231, 2232, 2235, 2241, 2242, 2246, 2249, 2261, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2299, 2302, 2306, 2307, 2309], "univariatesplin": [146, 720, 1280], "univers": [77, 251, 884, 1031, 2191], "unix": [2, 5, 258, 291, 314, 643, 667, 889, 953, 1498, 2186, 2210, 2227, 2235, 2246], "unknowingli": 2250, "unknown": [10, 79, 133, 191, 194, 591, 708, 767, 769, 1078, 2192, 2199, 2201, 2224, 2228, 2265, 2283], "unlabel": [16, 19], "unless": [3, 6, 13, 75, 76, 79, 145, 148, 149, 177, 178, 207, 208, 223, 428, 584, 585, 591, 725, 726, 740, 755, 756, 781, 782, 798, 818, 862, 866, 1146, 1194, 1255, 1342, 1344, 1345, 1391, 1397, 1403, 1404, 1430, 1475, 1478, 1488, 1490, 1498, 2186, 2191, 2193, 2197, 2199, 2200, 2202, 2204, 2208, 2211, 2218, 2220, 2232, 2241, 2247, 2249, 2257, 2261, 2263, 2277, 2289, 2298, 2302], "unlik": [17, 1097, 1110, 1143, 1487, 2186, 2195, 2208, 2222, 2230, 2298, 2307], "unlimit": [1345, 1391, 1488, 1490, 2202], "unloc": 2218, "unmap": [56, 871], "unmatch": [378, 465, 489], "unmet": 2250, "unmodifi": [137, 713, 1173, 1230], "unnam": [9, 1470, 2184, 2188, 2197, 2199, 2200, 2217, 2246, 2277, 2289], "unnamed_col": [2203, 2298], "unnecessari": [2190, 2200, 2207, 2214, 2220, 2222, 2225, 2228, 2232, 2246, 2249, 2253, 2254, 2271, 2290, 2295, 2297, 2302, 2303], "unnecessarili": [1146, 2222, 2236, 2256, 2289, 2298, 2299, 2300, 2302, 2308], "unnotic": 2199, "unobserv": [2195, 2240, 2265, 2283, 2295, 2298, 2307], "unord": [34, 44, 49, 52, 607, 1117, 1343, 2163, 2188, 2199, 2216, 2228, 2236, 2241, 2246, 2265, 2269, 2277, 2294, 2298, 2307], "unpack": [821, 2191, 2195, 2218, 2230], "unpack_zerodim_and_def": 2186, "unpars": [1469, 1470, 1486, 2199, 2210, 2228], "unparsed_d": 2235, "unpickl": [2218, 2220, 2222, 2223, 2241, 2246, 2257, 2276, 2284, 2289, 2307], "unpickled_df": [265, 895, 1479], "unpivot": [123, 167, 185, 698, 1444, 1445, 1454, 2166, 2204, 2235], "unpleas": 2199, "unpredict": [2197, 2238, 2246], "unprint": 2238, "unread": [2230, 2235], "unrecogn": [2283, 2289, 2297, 2302], "unrel": [2166, 2227, 2238], "unsaf": [352, 1474, 1479, 2193, 2199, 2294], "unseri": 1443, "unset": [257, 269, 1459, 1464, 1489], "unsign": [262, 364, 1095, 1110, 1115, 1499, 2186, 2205, 2232, 2234, 2235, 2243, 2246, 2267, 2271, 2277, 2289, 2294, 2298], "unsignedinteg": 2186, "unsort": [2210, 2235, 2236, 2238, 2249, 2259, 2265, 2271, 2275, 2278, 2294], "unsorted_df": 2186, "unsortedindexerror": [2185, 2235, 2238, 2241], "unspecifi": [241, 276, 902, 1403, 1404, 2199, 2210, 2220, 2225, 2302], "unstack": [3, 123, 184, 187, 241, 698, 763, 1444, 1453, 2166, 2184, 2195, 2196, 2211, 2220, 2222, 2225, 2230, 2232, 2234, 2235, 2238, 2241, 2246, 2250, 2253, 2255, 2261, 2265, 2271, 2276, 2277, 2283, 2298, 2302], "unsuccess": 1498, "unsupport": [462, 1128, 1369, 1374, 1378, 1379, 1385, 1469, 1486, 2193, 2199, 2214, 2220, 2227, 2228, 2230, 2231, 2241, 2246, 2249, 2271, 2294, 2307], "unsupportedfunctioncal": [2232, 2235, 2241, 2271], "unsur": 2, "until": [2, 13, 228, 865, 1345, 1391, 1488, 1490, 2190, 2195, 2199, 2202, 2207, 2217, 2218, 2220, 2232, 2241, 2249, 2261, 2289, 2298, 2302], "untouch": [34, 871, 2166, 2186, 2191, 2222], "untrust": [352, 1474, 1479, 2199], "unus": [13, 50, 59, 62, 75, 76, 84, 88, 89, 92, 103, 104, 105, 106, 111, 113, 121, 122, 124, 125, 126, 134, 146, 155, 156, 163, 164, 165, 166, 170, 200, 201, 205, 210, 213, 218, 223, 225, 226, 230, 232, 240, 242, 245, 249, 276, 283, 284, 321, 359, 360, 440, 498, 568, 575, 578, 581, 582, 584, 585, 587, 588, 589, 595, 600, 601, 605, 612, 615, 616, 625, 626, 627, 628, 631, 633, 635, 636, 694, 696, 697, 700, 701, 702, 706, 707, 709, 710, 715, 716, 720, 730, 731, 734, 739, 741, 742, 743, 744, 746, 747, 749, 753, 773, 774, 775, 777, 778, 780, 781, 783, 784, 786, 788, 790, 791, 792, 793, 795, 796, 797, 798, 800, 801, 804, 806, 807, 808, 816, 817, 878, 879, 882, 900, 901, 902, 910, 912, 1193, 1224, 1231, 1232, 1254, 1259, 1263, 1280, 1498, 2218, 2220, 2225, 2228, 2235, 2241, 2246, 2249, 2277, 2278, 2283, 2289, 2290, 2294, 2298, 2302], "unusu": [2210, 2232], "unwant": [2207, 2223, 2289], "unwieldi": [2205, 2207], "unwrap": 10, "up": [0, 1, 2, 3, 4, 5, 6, 7, 11, 14, 22, 30, 34, 35, 91, 192, 213, 268, 362, 363, 788, 852, 862, 866, 873, 893, 923, 953, 1387, 1394, 1443, 1458, 1469, 1486, 1498, 2185, 2186, 2188, 2191, 2193, 2194, 2195, 2196, 2199, 2205, 2206, 2207, 2208, 2210, 2211, 2212, 2214, 2216, 2217, 2218, 2220, 2222, 2225, 2226, 2228, 2232, 2235, 2238, 2241, 2246, 2249, 2254, 2255, 2257, 2261, 2265, 2271, 2277, 2278, 2289, 2294, 2307], "upcas": 16, "upcast": [238, 282, 1485, 2195, 2199, 2214, 2216, 2220, 2226, 2232, 2289, 2294], "upcom": [2213, 2309, 2310], "updat": [2, 5, 6, 8, 11, 13, 16, 17, 19, 20, 22, 27, 70, 71, 95, 98, 142, 146, 212, 226, 227, 233, 259, 267, 579, 580, 618, 621, 720, 787, 801, 802, 807, 890, 896, 1280, 1350, 1395, 1396, 1413, 1414, 2185, 2190, 2197, 2199, 2200, 2203, 2207, 2212, 2213, 2218, 2220, 2222, 2224, 2225, 2226, 2227, 2228, 2230, 2231, 2232, 2235, 2236, 2238, 2240, 2241, 2246, 2249, 2261, 2265, 2271, 2273, 2275, 2277, 2283, 2285, 2287, 2289, 2292, 2293, 2294, 2298, 2302, 2307, 2308], "update_delta": 2212, "update_tim": 2212, "upgrad": [1, 5, 2213, 2215, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2245, 2261, 2265, 2307], "upload": [13, 22, 255, 2265, 2310], "upon": [95, 98, 256, 286, 621, 888, 938, 1406, 1416, 1421, 1433, 1469, 1486, 2174, 2199, 2207, 2209, 2210, 2226, 2228, 2232, 2241, 2248, 2283, 2294, 2298, 2309], "upper": [2, 10, 16, 17, 19, 56, 60, 92, 107, 210, 253, 259, 405, 613, 616, 629, 784, 819, 820, 848, 869, 870, 886, 890, 1031, 1164, 1221, 1404, 1431, 1433, 1469, 1486, 2186, 2192, 2197, 2199, 2207, 2208, 2211, 2238, 2246, 2265, 2271, 2277, 2283, 2298, 2302], "uppercas": [819, 820, 836, 837, 838, 839, 840, 841, 842, 843, 844, 848, 869, 870, 872], "upsampl": [79, 213, 223, 591, 788, 798, 1192, 1253, 1271, 1272, 1274, 1275, 1280, 1286, 2172, 2238, 2240, 2264], "upstream": [1, 2, 5, 6, 13], "uqueri": [2220, 2232], "uri": [272, 1477, 1484, 1487, 2199, 2220, 2228, 2271, 2302, 2307], "url": [2, 6, 16, 17, 18, 19, 251, 253, 257, 258, 260, 263, 265, 268, 272, 341, 862, 866, 884, 886, 889, 892, 895, 1403, 1404, 1431, 1469, 1470, 1471, 1472, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1485, 1486, 1487, 2169, 2180, 2199, 2217, 2220, 2221, 2225, 2228, 2230, 2246, 2249, 2265, 2271, 2277, 2280, 2283, 2291, 2302], "url_df": 2199, "url_mcc": 2199, "urlerror": [16, 17, 18, 19, 2199, 2217, 2218, 2235], "urllib": [16, 17, 18, 19, 251, 253, 258, 260, 263, 265, 268, 272, 341, 884, 886, 889, 892, 895, 1431, 1469, 1470, 1471, 1475, 1476, 1478, 1479, 1485, 1486, 1487, 2199, 2235], "urlopen": [16, 17, 18, 19, 2199, 2235], "urlpath": 2199, "urlpath0": 2199, "us": [0, 1, 3, 4, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 32, 34, 35, 36, 37, 39, 41, 42, 44, 46, 49, 50, 53, 54, 56, 58, 59, 60, 61, 62, 63, 65, 66, 68, 72, 73, 74, 77, 78, 79, 80, 82, 83, 87, 89, 90, 91, 92, 94, 95, 97, 98, 99, 100, 102, 103, 104, 105, 106, 107, 108, 110, 111, 112, 116, 118, 120, 121, 125, 126, 127, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 151, 153, 155, 156, 157, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 172, 175, 176, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 197, 202, 203, 205, 207, 208, 209, 210, 211, 212, 213, 214, 218, 219, 223, 224, 225, 226, 227, 228, 230, 232, 233, 234, 237, 240, 241, 242, 246, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 272, 273, 274, 276, 277, 278, 280, 281, 282, 283, 284, 285, 288, 291, 292, 294, 296, 314, 316, 318, 321, 322, 328, 331, 332, 337, 341, 343, 344, 345, 346, 351, 352, 354, 361, 363, 364, 365, 366, 373, 376, 377, 378, 380, 381, 391, 392, 393, 394, 395, 398, 399, 401, 405, 407, 417, 420, 425, 433, 436, 437, 440, 441, 442, 443, 444, 445, 459, 462, 465, 477, 478, 481, 486, 489, 491, 493, 494, 499, 513, 515, 526, 532, 533, 535, 540, 562, 563, 568, 573, 575, 577, 581, 582, 583, 586, 590, 591, 592, 593, 594, 598, 601, 602, 605, 608, 611, 612, 613, 614, 615, 616, 617, 618, 620, 621, 622, 624, 625, 626, 627, 628, 629, 630, 632, 633, 636, 639, 643, 644, 646, 652, 667, 670, 673, 677, 681, 682, 686, 688, 692, 696, 699, 701, 702, 703, 705, 708, 709, 712, 713, 714, 715, 716, 717, 718, 719, 720, 724, 730, 731, 732, 738, 740, 741, 742, 743, 744, 746, 750, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 776, 778, 779, 781, 782, 783, 784, 785, 787, 788, 789, 793, 798, 799, 800, 801, 802, 804, 806, 807, 808, 815, 816, 817, 821, 823, 824, 825, 826, 827, 828, 829, 832, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 850, 857, 862, 865, 866, 867, 873, 877, 880, 881, 882, 883, 884, 885, 886, 888, 889, 890, 893, 894, 895, 896, 897, 898, 900, 902, 903, 904, 906, 907, 908, 909, 910, 911, 912, 913, 916, 919, 922, 923, 927, 929, 930, 932, 938, 940, 943, 948, 952, 953, 956, 957, 970, 983, 997, 1000, 1013, 1027, 1028, 1029, 1030, 1031, 1035, 1039, 1040, 1042, 1043, 1044, 1051, 1052, 1063, 1064, 1068, 1069, 1071, 1072, 1076, 1082, 1088, 1090, 1095, 1099, 1106, 1111, 1117, 1118, 1119, 1121, 1123, 1124, 1125, 1128, 1140, 1141, 1142, 1143, 1145, 1146, 1148, 1149, 1152, 1154, 1155, 1156, 1158, 1164, 1167, 1170, 1173, 1174, 1175, 1177, 1183, 1187, 1188, 1190, 1192, 1193, 1194, 1196, 1202, 1203, 1204, 1207, 1208, 1211, 1213, 1215, 1221, 1224, 1227, 1230, 1231, 1232, 1236, 1244, 1248, 1249, 1251, 1253, 1254, 1255, 1257, 1263, 1264, 1269, 1270, 1271, 1272, 1274, 1275, 1277, 1280, 1281, 1286, 1289, 1298, 1299, 1301, 1303, 1304, 1306, 1308, 1309, 1314, 1316, 1318, 1320, 1321, 1323, 1325, 1326, 1331, 1333, 1335, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1347, 1349, 1350, 1354, 1357, 1362, 1368, 1374, 1382, 1383, 1385, 1387, 1388, 1389, 1390, 1391, 1392, 1394, 1395, 1397, 1398, 1400, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1415, 1416, 1417, 1419, 1421, 1422, 1423, 1430, 1431, 1432, 1433, 1436, 1443, 1445, 1446, 1447, 1448, 1452, 1453, 1454, 1455, 1456, 1457, 1458, 1460, 1461, 1462, 1466, 1467, 1468, 1469, 1470, 1471, 1472, 1473, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1490, 1491, 1492, 1493, 1494, 1495, 1496, 1498, 1499, 1500, 1502, 1509, 1527, 1545, 1563, 1578, 1583, 1598, 1604, 1623, 1640, 1657, 1662, 1677, 1683, 1699, 1704, 1720, 1725, 1741, 1744, 1758, 1762, 1776, 1779, 1793, 1798, 1815, 1820, 1839, 1843, 1860, 1876, 1880, 1894, 1898, 1912, 1916, 1933, 1950, 1964, 1968, 1985, 2003, 2018, 2022, 2040, 2058, 2076, 2093, 2111, 2130, 2148, 2166, 2167, 2168, 2172, 2173, 2180, 2184, 2186, 2188, 2190, 2191, 2192, 2196, 2198, 2200, 2201, 2203, 2204, 2206, 2208, 2212, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2247, 2249, 2250, 2253, 2255, 2257, 2258, 2259, 2261, 2262, 2263, 2264, 2266, 2267, 2269, 2273, 2274, 2275, 2277, 2278, 2279, 2280, 2282, 2283, 2285, 2286, 2289, 2292, 2293, 2295, 2296, 2297, 2298, 2301, 2302, 2303, 2304, 2307, 2308, 2309], "usa": 2218, "usabl": [2184, 2199, 2205, 2261, 2283], "usag": [0, 2, 3, 4, 13, 22, 24, 25, 26, 121, 122, 134, 144, 168, 218, 341, 354, 407, 573, 696, 697, 709, 745, 793, 1345, 1391, 1396, 1407, 1414, 1415, 1469, 1476, 1486, 1488, 1490, 2190, 2191, 2195, 2196, 2197, 2199, 2202, 2205, 2212, 2215, 2218, 2219, 2220, 2223, 2224, 2225, 2229, 2230, 2231, 2232, 2241, 2246, 2249, 2256, 2258, 2261, 2263, 2265, 2269, 2272, 2273, 2277, 2280, 2294, 2298, 2307], "use_bottleneck": [1345, 1391, 1488, 1490, 2186, 2202], "use_bqstorage_api": [1473, 2249], "use_column": 1461, "use_eng_prefix": [1489, 2202], "use_expand": 2212, "use_index": [186, 762, 1188, 1249, 2219, 2224], "use_inf_as_na": [148, 149, 177, 178, 725, 726, 755, 756, 1345, 1391, 1488, 1490, 2202, 2238, 2265, 2269, 2271, 2272, 2298, 2302, 2307], "use_inf_as_nul": [2214, 2221, 2223, 2238, 2241, 2298], "use_mathjax": [1345, 1391, 1488, 1490, 2202, 2241, 2289], "use_na_sentinel": [376, 699, 1051, 1388, 2294], "use_nullable_dtyp": [1478, 2184, 2199, 2205, 2277, 2294, 2298, 2302], "use_numba": [1148, 1149, 1178, 1179, 1181, 1199, 1200, 1203, 1205, 1207, 1208, 1237, 1238, 1240, 1260, 1261, 1264, 1267, 1300, 1302, 1305, 1310, 1311, 1312, 1313, 1318, 1319, 1320, 1322, 1327, 1328, 1329, 1330, 1335, 1336, 1337, 1345, 1391, 1488, 1490, 2202, 2271, 2302, 2304], "use_numexpr": [1345, 1391, 1488, 1490, 2186, 2202, 2289], "use_thread": [1471, 2199, 2246, 2265], "use_unsign": [2232, 2241], "usecas": 2249, "usecol": [16, 17, 18, 19, 339, 1469, 1470, 1481, 1486, 2203, 2205, 2214, 2215, 2218, 2225, 2231, 2232, 2235, 2236, 2238, 2241, 2246, 2265, 2283, 2289, 2292, 2294, 2298, 2303, 2307], "usepackag": [259, 890, 1433], "usequerycach": 1473, "user": [0, 1, 2, 3, 4, 5, 6, 10, 13, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 36, 39, 49, 63, 72, 73, 77, 111, 114, 115, 120, 123, 134, 160, 167, 184, 185, 207, 209, 213, 241, 255, 256, 259, 262, 263, 267, 273, 279, 345, 354, 376, 459, 478, 510, 568, 573, 575, 581, 582, 586, 636, 698, 699, 709, 718, 738, 781, 783, 788, 808, 888, 890, 896, 900, 906, 1064, 1069, 1071, 1072, 1125, 1141, 1148, 1149, 1152, 1167, 1168, 1203, 1207, 1208, 1211, 1224, 1225, 1264, 1269, 1270, 1304, 1321, 1342, 1343, 1345, 1350, 1363, 1380, 1381, 1387, 1388, 1390, 1391, 1395, 1398, 1400, 1413, 1415, 1416, 1418, 1421, 1433, 1444, 1445, 1453, 1454, 1469, 1470, 1473, 1475, 1477, 1482, 1486, 1488, 1490, 2166, 2167, 2168, 2172, 2177, 2185, 2186, 2190, 2193, 2197, 2199, 2200, 2205, 2207, 2210, 2211, 2212, 2213, 2214, 2215, 2216, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2245, 2246, 2249, 2250, 2260, 2265, 2267, 2271, 2274, 2277, 2279, 2280, 2283, 2287, 2289, 2294, 2295, 2298, 2302, 2307, 2308], "user001": [2199, 2249], "user_ag": [207, 781], "user_global_n": 2193, "user_guid": [2197, 2307], "user_n": 2193, "user_nam": 2191, "userfield": [2199, 2249], "userid": 2199, "usernam": [6, 13, 251, 253, 258, 260, 263, 265, 268, 272, 341, 884, 886, 889, 892, 895, 1431, 1469, 1470, 1471, 1475, 1476, 1478, 1479, 1485, 1486, 1487], "userprofil": 5, "userwarn": [2197, 2220, 2231, 2232, 2238, 2266, 2273, 2297, 2298, 2302], "usfederalholidaycalendar": [2210, 2228, 2231, 2289, 2298], "using_copy_on_writ": [2192, 2199, 2298], "using_cow": [2199, 2298], "uslabordai": 2210, "usmartinlutherkingjr": 2228, "usmemorialdai": [2210, 2228], "usr": [15, 16, 17, 18, 19, 22, 2193, 2199, 2203, 2210, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2244, 2245, 2246, 2249, 2250, 2251, 2252, 2253, 2254, 2255, 2256, 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, 2310], "ustrlen": 19, "ustrlen_tim": 19, "ustrlow": 19, "ustrtitl": 19, "ustrupp": 19, "usual": [2, 13, 18, 19, 22, 28, 34, 39, 44, 49, 160, 169, 268, 738, 1118, 1148, 1149, 1345, 1391, 1397, 1430, 1433, 1446, 1488, 1490, 2185, 2188, 2191, 2195, 2197, 2199, 2202, 2208, 2209, 2210, 2211, 2212, 2216, 2220, 2222, 2228, 2232, 2235, 2265, 2283, 2294, 2309, 2310], "utc": [0, 29, 30, 31, 277, 278, 286, 289, 293, 295, 317, 323, 324, 329, 330, 331, 334, 575, 641, 645, 647, 649, 650, 671, 678, 679, 684, 685, 686, 893, 903, 904, 909, 956, 983, 995, 1013, 1014, 1018, 1019, 1020, 1021, 1483, 1484, 1491, 1498, 2184, 2186, 2199, 2210, 2222, 2224, 2230, 2232, 2235, 2237, 2241, 2242, 2246, 2250, 2261, 2265, 2271, 2278, 2283, 2289, 2294, 2295, 2302, 2307], "utcfromtimestamp": [2224, 2289, 2298], "utctimetupl": 2298, "utf": [9, 144, 251, 256, 257, 259, 269, 272, 884, 888, 890, 1039, 1345, 1391, 1432, 1433, 1434, 1469, 1476, 1486, 1487, 1488, 1490, 1491, 2199, 2202, 2220, 2230, 2232, 2238, 2239, 2242, 2249, 2265, 2271, 2277, 2283, 2289, 2294, 2295], "utf8": [291, 314, 643, 667, 2164, 2165, 2199, 2202, 2232, 2249, 2282], "utf_xx": 2232, "util": [2, 4, 16, 18, 19, 1043, 1363, 2168, 2172, 2184, 2185, 2193, 2194, 2195, 2197, 2199, 2203, 2205, 2210, 2212, 2218, 2223, 2232, 2235, 2241, 2246, 2257, 2265, 2271, 2283, 2294, 2298, 2302, 2307], "utilis": 2298, "uuid": [1394, 1400, 1402, 1421, 1422, 1424, 2277, 2289], "uuid_len": [1394, 2207], "uz": 857, "v": [1, 2, 5, 8, 13, 20, 99, 122, 233, 234, 270, 541, 622, 697, 807, 898, 1155, 1213, 1350, 1380, 1381, 1396, 1400, 1403, 1404, 1413, 1414, 1415, 1433, 2188, 2194, 2196, 2199, 2200, 2201, 2203, 2207, 2208, 2211, 2220, 2221, 2222, 2226, 2229, 2232, 2235, 2241, 2246, 2249, 2283, 2293, 2294, 2302, 2307], "v0": [2214, 2218, 2222, 2249, 2250, 2253], "v1": [13, 15, 1323, 2200, 2207, 2222, 2230, 2232, 2289], "v14": 2199, "v1_x": 2232, "v1_y": 2232, "v2": [15, 259, 890, 1323, 2199, 2200, 2218, 2222, 2294], "v3": [2218, 2227], "v_l": 2200, "v_r": 2200, "v_x": 2200, "v_y": 2200, "val": [15, 188, 189, 764, 765, 887, 1109, 1190, 1251, 1422, 1451, 1478, 2164, 2188, 2195, 2197, 2199, 2218, 2231, 2235, 2265, 2271, 2298], "val1": 2217, "val2": 2217, "valid": [3, 4, 10, 12, 31, 39, 41, 44, 49, 50, 53, 60, 62, 74, 77, 79, 87, 89, 91, 99, 102, 124, 125, 141, 146, 153, 160, 169, 181, 182, 200, 201, 203, 207, 208, 218, 245, 257, 269, 278, 376, 423, 459, 478, 511, 583, 591, 598, 601, 605, 608, 613, 615, 622, 624, 699, 700, 701, 717, 720, 738, 759, 760, 774, 775, 781, 782, 793, 824, 879, 904, 938, 953, 983, 1031, 1040, 1052, 1076, 1103, 1125, 1145, 1154, 1155, 1158, 1167, 1169, 1177, 1178, 1181, 1189, 1193, 1200, 1213, 1215, 1224, 1226, 1236, 1237, 1240, 1250, 1254, 1261, 1275, 1276, 1280, 1281, 1290, 1295, 1344, 1345, 1360, 1365, 1385, 1388, 1391, 1395, 1397, 1398, 1403, 1404, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1418, 1423, 1430, 1446, 1449, 1450, 1458, 1469, 1470, 1471, 1472, 1474, 1475, 1476, 1477, 1478, 1480, 1485, 1486, 1487, 1488, 1490, 1493, 1657, 1677, 1699, 1720, 1741, 1776, 2167, 2191, 2193, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2203, 2210, 2211, 2214, 2215, 2217, 2218, 2219, 2222, 2223, 2227, 2228, 2230, 2231, 2232, 2235, 2238, 2240, 2241, 2246, 2247, 2249, 2265, 2271, 2277, 2283, 2289, 2291, 2294, 2298, 2302, 2307, 2309], "validate_docstr": 4, "validate_integ": 2199, "validate_read": 2199, "vallei": 2199, "vallejo": 32, "valu": [2, 3, 5, 7, 9, 10, 15, 18, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 39, 41, 42, 46, 49, 53, 54, 56, 58, 60, 62, 63, 65, 68, 69, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 87, 88, 89, 90, 91, 92, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 114, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 175, 176, 177, 178, 179, 180, 181, 182, 184, 185, 186, 188, 189, 190, 191, 192, 193, 194, 195, 197, 199, 200, 201, 202, 204, 205, 206, 207, 208, 209, 210, 212, 213, 215, 216, 217, 218, 219, 220, 221, 222, 223, 225, 226, 227, 230, 232, 233, 234, 239, 240, 241, 242, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 265, 267, 268, 269, 272, 275, 276, 278, 279, 280, 281, 283, 284, 285, 288, 292, 294, 296, 300, 301, 303, 304, 305, 306, 307, 308, 309, 310, 316, 318, 321, 326, 328, 332, 341, 342, 343, 344, 345, 346, 350, 351, 359, 360, 362, 363, 364, 366, 367, 369, 371, 373, 376, 377, 378, 380, 381, 384, 387, 388, 389, 396, 397, 400, 401, 402, 405, 406, 407, 408, 413, 414, 415, 417, 420, 423, 427, 429, 430, 432, 433, 434, 435, 436, 439, 441, 442, 443, 444, 449, 459, 461, 462, 465, 467, 473, 485, 489, 490, 494, 498, 501, 502, 503, 504, 510, 514, 516, 540, 570, 571, 572, 573, 575, 576, 577, 578, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 598, 599, 600, 601, 602, 603, 604, 608, 611, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 633, 634, 636, 637, 639, 644, 646, 652, 655, 656, 657, 658, 659, 660, 661, 670, 673, 680, 681, 683, 688, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 703, 704, 706, 707, 708, 709, 710, 712, 714, 715, 716, 717, 720, 721, 722, 723, 724, 725, 726, 728, 730, 731, 732, 733, 734, 736, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 753, 754, 755, 756, 757, 758, 759, 760, 762, 764, 765, 766, 767, 768, 769, 770, 772, 773, 774, 775, 776, 777, 778, 780, 781, 782, 783, 784, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 804, 806, 807, 808, 811, 812, 814, 816, 817, 821, 823, 832, 833, 834, 836, 837, 838, 839, 840, 841, 842, 843, 844, 846, 850, 856, 857, 865, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 888, 889, 890, 891, 892, 893, 895, 896, 901, 902, 904, 905, 906, 907, 908, 910, 911, 912, 913, 914, 915, 916, 918, 923, 927, 930, 931, 940, 943, 945, 948, 952, 953, 983, 1007, 1027, 1028, 1029, 1030, 1031, 1032, 1034, 1035, 1036, 1039, 1040, 1041, 1042, 1043, 1044, 1047, 1049, 1050, 1051, 1052, 1055, 1056, 1061, 1063, 1064, 1065, 1066, 1068, 1069, 1071, 1072, 1073, 1076, 1078, 1095, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1127, 1128, 1131, 1136, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1164, 1165, 1166, 1167, 1169, 1173, 1174, 1175, 1177, 1178, 1179, 1180, 1181, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1198, 1199, 1200, 1202, 1203, 1204, 1205, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1221, 1222, 1223, 1224, 1226, 1231, 1232, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1259, 1260, 1261, 1263, 1264, 1265, 1267, 1271, 1272, 1273, 1274, 1275, 1276, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1294, 1295, 1296, 1297, 1300, 1302, 1305, 1306, 1310, 1311, 1312, 1313, 1315, 1318, 1319, 1320, 1322, 1323, 1327, 1328, 1329, 1330, 1332, 1335, 1336, 1337, 1342, 1343, 1344, 1345, 1348, 1349, 1359, 1368, 1369, 1372, 1377, 1380, 1381, 1386, 1387, 1388, 1389, 1390, 1391, 1392, 1394, 1395, 1396, 1397, 1398, 1400, 1403, 1404, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1414, 1415, 1416, 1418, 1421, 1422, 1423, 1430, 1431, 1432, 1433, 1434, 1436, 1438, 1441, 1442, 1444, 1445, 1446, 1447, 1448, 1449, 1450, 1453, 1454, 1455, 1458, 1459, 1461, 1463, 1467, 1468, 1469, 1470, 1471, 1472, 1473, 1475, 1476, 1478, 1479, 1480, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1489, 1490, 1493, 1495, 1496, 1498, 1499, 1500, 1741, 2163, 2164, 2165, 2166, 2167, 2168, 2172, 2180, 2185, 2188, 2190, 2191, 2192, 2193, 2196, 2202, 2204, 2205, 2206, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2228, 2229, 2230, 2231, 2233, 2234, 2235, 2236, 2238, 2239, 2240, 2242, 2243, 2245, 2247, 2248, 2250, 2251, 2252, 2253, 2254, 2255, 2256, 2257, 2259, 2260, 2261, 2263, 2264, 2266, 2267, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2280, 2282, 2284, 2285, 2286, 2287, 2288, 2290, 2291, 2292, 2293, 2295, 2296, 2297, 2302, 2304, 2305, 2306, 2307, 2308, 2309], "valuabl": [13, 34], "value1": 1184, "value2": [1184, 1395, 1396, 1413, 1414, 2204], "value_count": [16, 17, 18, 19, 28, 101, 112, 172, 2184, 2186, 2188, 2195, 2199, 2205, 2215, 2216, 2220, 2221, 2222, 2225, 2228, 2231, 2232, 2235, 2259, 2265, 2271, 2277, 2283, 2284, 2293, 2298, 2302, 2303, 2304, 2307], "value_i": [16, 17, 18, 19, 169, 1446], "value_label": [268, 1440, 2199, 2241, 2289], "value_left": [169, 1446], "value_nam": [29, 167, 1445, 2204, 2217, 2271, 2298], "value_rang": [2222, 2225, 2257], "value_right": [169, 1446], "value_var": [29, 167, 1445, 2214, 2235, 2265, 2283], "value_x": [16, 17, 18, 19, 169, 1446], "valueerror": [2, 39, 41, 49, 50, 53, 58, 60, 61, 62, 83, 90, 96, 123, 130, 139, 140, 145, 146, 169, 184, 212, 224, 230, 256, 258, 262, 267, 268, 273, 280, 288, 296, 318, 326, 337, 341, 350, 362, 401, 403, 417, 430, 462, 594, 602, 605, 608, 611, 613, 614, 615, 639, 652, 673, 680, 715, 716, 720, 727, 787, 804, 835, 857, 859, 866, 888, 889, 896, 900, 929, 940, 943, 948, 957, 970, 997, 1053, 1064, 1076, 1117, 1118, 1128, 1146, 1174, 1175, 1196, 1231, 1232, 1257, 1280, 1343, 1365, 1387, 1389, 1392, 1403, 1404, 1406, 1446, 1453, 1467, 1498, 1502, 1773, 1854, 1891, 1909, 1927, 1979, 2033, 2087, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2194, 2195, 2197, 2199, 2201, 2203, 2208, 2210, 2211, 2212, 2217, 2218, 2220, 2221, 2222, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2235, 2236, 2238, 2241, 2243, 2245, 2249, 2250, 2265, 2267, 2269, 2271, 2272, 2273, 2274, 2275, 2277, 2278, 2281, 2283, 2285, 2286, 2287, 2290, 2291, 2292, 2294, 2295, 2297, 2298, 2300, 2302, 2307, 2308], "valuelabeltypemismatch": 2294, "values_block_0": 2199, "values_block_1": 2199, "values_block_2": 2199, "values_block_3": 2199, "values_block_4": 2199, "values_block_5": 2199, "values_count": 2225, "van": [853, 861, 2247, 2248], "vanilla": [2197, 2218], "var": [13, 16, 72, 73, 581, 582, 1041, 1269, 1270, 1304, 1321, 2186, 2194, 2195, 2212, 2217, 2219, 2225, 2228, 2230, 2235, 2239, 2265, 2267, 2271, 2277, 2289, 2294, 2298, 2302], "var1": [379, 2204, 2249], "var2": [2204, 2249], "var_nam": [29, 167, 1445, 2204, 2217, 2307], "vari": [3, 8, 107, 197, 258, 629, 889, 1164, 1221, 1344, 1397, 1494, 2199, 2211], "variabl": [2, 3, 5, 15, 16, 17, 18, 19, 28, 29, 30, 39, 46, 91, 98, 167, 191, 194, 197, 203, 207, 208, 218, 219, 268, 271, 330, 376, 378, 417, 436, 465, 489, 621, 685, 699, 767, 769, 781, 782, 793, 834, 899, 908, 1193, 1254, 1343, 1345, 1360, 1368, 1383, 1387, 1388, 1389, 1390, 1391, 1416, 1432, 1437, 1438, 1439, 1445, 1458, 1467, 1485, 1488, 1490, 2166, 2186, 2188, 2190, 2191, 2195, 2196, 2197, 2199, 2202, 2204, 2210, 2211, 2212, 2214, 2216, 2218, 2219, 2220, 2221, 2222, 2224, 2226, 2227, 2228, 2230, 2231, 2232, 2235, 2241, 2246, 2249, 2261, 2265, 2267, 2271, 2294, 2302, 2307], "variable_0": [167, 1445], "variable_1": [167, 1445], "variable_label": 268, "variableoffsetwindowindex": [2212, 2271, 2302], "varianc": [102, 283, 910, 1158, 1205, 1267, 1297, 1303, 1320, 1337, 1341, 1400, 1433, 2186, 2194, 2195, 2212, 2228, 2245, 2289, 2294], "variant": [14, 1469, 1486, 2173, 2199, 2208, 2212, 2265], "variat": [3, 1517, 1535, 1553, 1571, 1591, 1612, 1631, 1648, 1670, 1691, 1712, 1733, 1752, 1770, 1787, 1793, 1806, 1815, 1828, 1851, 1868, 1888, 1906, 1924, 1941, 1958, 1976, 1993, 2011, 2030, 2048, 2066, 2084, 2101, 2119, 2138, 2156, 2199, 2211], "varieti": [16, 19, 21, 2185, 2186, 2199, 2209, 2210, 2211, 2223], "variou": [1, 17, 18, 30, 31, 34, 120, 286, 385, 711, 893, 1152, 1211, 1387, 1498, 2180, 2184, 2185, 2186, 2191, 2195, 2199, 2200, 2201, 2203, 2204, 2209, 2210, 2211, 2217, 2218, 2222, 2224, 2227, 2231, 2232, 2246, 2249, 2271, 2289, 2298, 2302, 2307], "vast": 34, "vastli": 2255, "vbench": [2228, 2254, 2255], "ve": [1, 2, 5, 6, 8, 13, 376, 699, 1388, 2185, 2195, 2197, 2205, 2207, 2227, 2229, 2238, 2239, 2240, 2242, 2265, 2271, 2277, 2283], "vector": [15, 16, 17, 19, 21, 91, 162, 233, 234, 427, 428, 490, 599, 807, 808, 818, 1154, 1448, 1458, 2184, 2185, 2193, 2196, 2197, 2210, 2212, 2218, 2219, 2230, 2241, 2246, 2255, 2262, 2263, 2264, 2265, 2267, 2283, 2289, 2307], "vectoris": 2228, "veenstra": 2248, "veloc": [2, 2228], "vendor": 2249, "venu": [196, 771], "venv": [5, 22], "verb": [3, 2191, 2225], "verbos": [3, 5, 16, 17, 18, 19, 144, 1431, 1469, 1470, 1486, 2185, 2186, 2195, 2199, 2203, 2220, 2225, 2232, 2235, 2277, 2294, 2298, 2307], "verbose_info": 2216, "veri": [2, 3, 5, 13, 16, 17, 18, 19, 23, 31, 82, 190, 532, 593, 766, 1114, 1146, 1152, 1211, 1487, 1499, 2184, 2185, 2186, 2188, 2190, 2191, 2192, 2193, 2195, 2197, 2199, 2207, 2208, 2210, 2211, 2215, 2218, 2222, 2227, 2228, 2232, 2233, 2238, 2241, 2246, 2249, 2254, 2256, 2260, 2261, 2265, 2294, 2298, 2302, 2307], "verifi": [2, 6, 10, 13, 25, 30, 145, 248, 459, 881, 1125, 2195, 2197, 2235, 2261, 2265], "verify_integr": [228, 459, 478, 500, 501, 1125, 1146, 2249, 2265, 2302], "versa": [3, 98, 274, 621, 2204, 2210, 2265, 2271, 2283, 2289, 2298, 2307], "versicolor": [1463, 2211], "version": [0, 2, 3, 5, 6, 9, 10, 11, 13, 16, 21, 29, 36, 44, 63, 69, 70, 71, 74, 76, 77, 78, 82, 87, 89, 90, 96, 97, 99, 100, 102, 109, 114, 121, 122, 123, 124, 125, 127, 129, 130, 131, 134, 139, 140, 141, 143, 146, 153, 155, 156, 157, 162, 164, 165, 166, 169, 170, 171, 173, 181, 182, 185, 186, 190, 193, 199, 200, 201, 202, 204, 205, 206, 207, 208, 209, 210, 212, 213, 214, 215, 216, 217, 218, 220, 221, 222, 223, 225, 226, 227, 232, 242, 244, 245, 246, 251, 252, 253, 254, 255, 258, 259, 262, 264, 265, 267, 268, 270, 272, 274, 275, 276, 277, 278, 281, 283, 286, 337, 341, 342, 345, 354, 376, 377, 391, 392, 393, 394, 395, 398, 399, 421, 502, 505, 540, 579, 580, 583, 585, 586, 593, 598, 599, 601, 602, 603, 619, 620, 634, 636, 681, 683, 696, 697, 699, 700, 701, 703, 709, 715, 716, 717, 719, 720, 730, 731, 732, 742, 743, 744, 746, 759, 760, 762, 766, 768, 774, 775, 778, 779, 781, 782, 783, 784, 787, 788, 789, 793, 798, 800, 801, 802, 806, 817, 824, 845, 853, 861, 862, 866, 875, 876, 877, 879, 880, 884, 886, 889, 890, 894, 895, 896, 898, 902, 903, 904, 910, 911, 916, 938, 1041, 1051, 1052, 1064, 1082, 1088, 1095, 1099, 1106, 1111, 1118, 1119, 1143, 1145, 1148, 1149, 1152, 1155, 1156, 1158, 1165, 1167, 1169, 1170, 1174, 1175, 1177, 1178, 1179, 1180, 1181, 1183, 1188, 1189, 1190, 1191, 1192, 1194, 1195, 1196, 1198, 1199, 1200, 1202, 1203, 1204, 1205, 1207, 1208, 1211, 1222, 1224, 1226, 1227, 1231, 1232, 1236, 1237, 1238, 1239, 1240, 1244, 1249, 1250, 1251, 1252, 1253, 1255, 1256, 1257, 1259, 1260, 1261, 1263, 1264, 1267, 1276, 1277, 1280, 1281, 1283, 1284, 1290, 1292, 1294, 1295, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1306, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1344, 1345, 1363, 1388, 1389, 1391, 1394, 1395, 1396, 1397, 1398, 1400, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1414, 1416, 1421, 1423, 1430, 1431, 1432, 1433, 1434, 1436, 1437, 1438, 1439, 1446, 1454, 1468, 1469, 1470, 1471, 1472, 1473, 1475, 1476, 1477, 1478, 1479, 1480, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1490, 1491, 1493, 1494, 1496, 1497, 1498, 1499, 1500, 1509, 1527, 1545, 1563, 1583, 1604, 1623, 1640, 1662, 1683, 1704, 1725, 1744, 1762, 1779, 1798, 1820, 1843, 1860, 1880, 1898, 1916, 1933, 1950, 1968, 1985, 2003, 2022, 2040, 2058, 2076, 2093, 2111, 2130, 2148, 2184, 2185, 2186, 2190, 2192, 2195, 2197, 2199, 2202, 2203, 2204, 2205, 2207, 2208, 2210, 2211, 2212, 2242, 2243, 2245, 2247, 2248, 2250, 2251, 2252, 2266, 2267, 2268, 2269, 2270, 2272, 2273, 2275, 2276, 2278, 2279, 2280, 2281, 2282, 2284, 2285, 2286, 2287, 2288, 2290, 2291, 2292, 2293, 2295, 2296, 2297, 2299, 2300, 2301, 2303, 2304, 2305, 2306, 2308, 2309, 2310], "version_typ": 877, "versionad": [2, 13], "versionchang": 13, "versu": [26, 27, 28, 98, 186, 188, 189, 192, 195, 621, 762, 764, 765, 770, 1035, 1188, 1249, 2185, 2196, 2211, 2218, 2222, 2307], "vert": [2211, 2294, 2307], "vertic": [30, 96, 186, 188, 189, 197, 241, 619, 762, 764, 765, 1188, 1249, 1345, 1391, 1433, 1461, 1488, 1490, 2185, 2202, 2207, 2211, 2224, 2238, 2249, 2294], "vetinari": 2247, "via": [0, 2, 5, 8, 10, 16, 17, 18, 19, 21, 22, 27, 62, 107, 146, 213, 253, 256, 259, 262, 345, 615, 629, 720, 788, 886, 888, 890, 1148, 1149, 1164, 1207, 1208, 1221, 1280, 1400, 1431, 1469, 1470, 1472, 1476, 1482, 1483, 1485, 1486, 2184, 2185, 2186, 2188, 2191, 2194, 2196, 2197, 2201, 2207, 2208, 2209, 2210, 2211, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2222, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2253, 2257, 2259, 2262, 2264, 2265, 2277, 2283, 2289, 2295, 2298, 2307, 2308], "vibhu": 2248, "vice": [3, 98, 274, 621, 2204, 2210, 2265, 2271, 2283, 2289, 2298, 2307], "victor": [32, 392], "view": [4, 6, 13, 42, 54, 89, 121, 124, 125, 136, 151, 227, 248, 261, 390, 416, 573, 575, 601, 617, 696, 700, 701, 712, 718, 802, 881, 893, 894, 918, 1042, 1059, 1345, 1350, 1380, 1381, 1391, 1488, 1490, 1498, 2185, 2186, 2190, 2192, 2194, 2196, 2202, 2204, 2206, 2207, 2208, 2210, 2212, 2218, 2219, 2220, 2222, 2228, 2246, 2256, 2271, 2277, 2283, 2293, 2294, 2296, 2297, 2298, 2302, 2307], "viewpoint": 2185, "villanova": 2248, "violat": [2190, 2230, 2271, 2292, 2293], "viper": [160, 738], "virginica": [1463, 2211], "viridi": [192, 197, 2211, 2229], "virtual": [1, 5, 22, 1031, 1068, 2294], "virtualenv": [2, 5, 22], "virtuslab": 2294, "visibl": [1397, 1406, 1419, 1423, 2190, 2207, 2211, 2220, 2226, 2249, 2283, 2289], "visit": [4, 6, 34, 35, 187, 763, 2215, 2294], "visual": [3, 5, 10, 26, 35, 187, 243, 763, 1394, 1395, 1398, 1399, 1405, 1408, 1409, 1410, 1413, 1417, 1418, 1419, 1421, 1423, 1424, 1433, 1455, 1456, 1458, 1460, 1463, 2172, 2195, 2196, 2197, 2216, 2222, 2229, 2232, 2247, 2248, 2249], "visualis": 2294, "visualstudio": 5, "vlarrai": 2238, "vlookup": [17, 153], "vmax": [1397, 1398, 1430, 1433, 2207, 2246, 2265], "vmin": [1397, 1398, 1430, 1433, 2207, 2246, 2265], "vocabulari": 32, "void": 2186, "vol": [2283, 2298], "volk": [1443, 2199], "volum": [182, 213, 760, 788, 2195], "volunt": 13, "von": 2248, "vote": 13, "vowel": 2195, "vs_buildtool": 5, "vulner": [14, 120], "vx": 2, "vytauta": 2261, "w": [8, 144, 184, 213, 251, 256, 258, 341, 346, 347, 348, 349, 350, 351, 352, 353, 423, 532, 788, 857, 884, 888, 889, 916, 1008, 1274, 1347, 1376, 1453, 1500, 2166, 2185, 2195, 2197, 2199, 2200, 2208, 2210, 2217, 2218, 2220, 2222, 2224, 2225, 2228, 2230, 2231, 2232, 2238, 2246, 2294, 2298], "w3": [2199, 2277, 2283], "w3c": [1487, 2199], "w3school": 2199, "w_i": [121, 696, 2212], "wa": [2, 5, 10, 13, 15, 16, 17, 18, 22, 27, 31, 32, 127, 157, 162, 212, 251, 427, 532, 570, 571, 703, 732, 787, 884, 1036, 1170, 1227, 1277, 1354, 1363, 1384, 1396, 1414, 1469, 1479, 1486, 1499, 2169, 2180, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2197, 2199, 2207, 2208, 2210, 2214, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2246, 2248, 2249, 2250, 2257, 2260, 2263, 2265, 2266, 2267, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2281, 2283, 2285, 2286, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2307, 2308, 2309], "wabash": 2199, "wai": [0, 2, 3, 4, 5, 6, 7, 10, 13, 15, 16, 17, 18, 19, 21, 22, 25, 32, 34, 191, 192, 194, 212, 285, 342, 767, 769, 787, 913, 916, 1142, 1143, 1152, 1211, 1345, 1354, 1382, 1391, 1394, 1403, 1469, 1470, 1486, 1487, 1488, 1490, 1498, 2175, 2185, 2186, 2188, 2190, 2193, 2195, 2197, 2199, 2201, 2202, 2204, 2207, 2208, 2210, 2211, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2224, 2227, 2231, 2232, 2235, 2238, 2241, 2246, 2247, 2249, 2265, 2271, 2294, 2304, 2307], "wait": [4, 13], "walk": [285, 913, 2193, 2199, 2202, 2246], "walkthrough": [1146, 2207], "wall": [16, 288, 296, 318, 639, 652, 673, 940, 943, 948, 953, 957, 970, 997, 2205, 2210, 2246, 2265, 2283, 2289, 2294, 2298], "walton": 2199, "want": [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 13, 15, 16, 17, 18, 19, 22, 23, 24, 25, 26, 27, 29, 30, 31, 36, 91, 153, 164, 170, 203, 207, 213, 247, 252, 262, 263, 345, 376, 491, 586, 699, 728, 742, 746, 781, 788, 873, 880, 885, 1035, 1117, 1167, 1187, 1203, 1224, 1248, 1264, 1289, 1343, 1388, 1415, 1433, 1458, 1469, 1470, 1474, 1476, 1485, 1486, 1620, 1637, 1657, 1930, 1947, 2054, 2127, 2145, 2166, 2185, 2186, 2188, 2190, 2192, 2193, 2194, 2195, 2197, 2199, 2200, 2205, 2207, 2208, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2222, 2228, 2232, 2235, 2238, 2239, 2271, 2294], "wari": 2210, "warm": [164, 170, 245, 742, 746, 879], "warn": [4, 14, 22, 37, 38, 85, 134, 596, 709, 915, 1009, 1069, 1071, 1072, 1119, 1120, 1121, 1122, 1123, 1124, 1143, 1144, 1345, 1347, 1348, 1349, 1350, 1354, 1357, 1360, 1374, 1375, 1377, 1381, 1386, 1391, 1469, 1486, 1488, 1490, 1498, 1499, 2167, 2169, 2172, 2180, 2184, 2186, 2187, 2190, 2193, 2197, 2198, 2199, 2201, 2202, 2205, 2208, 2210, 2211, 2214, 2215, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2225, 2228, 2230, 2232, 2233, 2234, 2235, 2236, 2241, 2242, 2246, 2247, 2249, 2250, 2251, 2261, 2265, 2266, 2271, 2277, 2278, 2283, 2293, 2294, 2295, 2297, 2298, 2302, 2304, 2307, 2308], "warn_bad_lin": [2235, 2283, 2298], "warranti": 34, "warsaw": [278, 331, 686, 904, 2210], "washington": [2199, 2289], "wasn": [2217, 2218, 2220, 2221, 2222, 2246, 2277, 2307, 2308], "watch": 2185, "watermelon": [384, 392, 394, 399, 400], "watson": [2186, 2227], "wb": [2199, 2219, 2223, 2228, 2232, 2241, 2277], "wcpp": 2193, "wcsd": 2199, "we": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 12, 13, 14, 15, 16, 17, 18, 19, 23, 25, 27, 28, 29, 30, 31, 32, 34, 35, 74, 110, 114, 117, 134, 142, 147, 152, 153, 176, 179, 185, 189, 193, 196, 207, 209, 210, 214, 223, 247, 249, 250, 256, 262, 267, 274, 276, 281, 282, 330, 331, 363, 376, 436, 437, 477, 482, 573, 583, 617, 685, 686, 693, 699, 709, 765, 768, 771, 781, 784, 798, 808, 880, 882, 883, 888, 893, 896, 902, 908, 909, 916, 923, 938, 1031, 1045, 1063, 1118, 1123, 1124, 1152, 1202, 1211, 1263, 1274, 1338, 1339, 1340, 1341, 1350, 1387, 1388, 1397, 1403, 1415, 1416, 1430, 1433, 1447, 1454, 1469, 1470, 1474, 1475, 1476, 1478, 1485, 1486, 1506, 1524, 1657, 1677, 1699, 1720, 1741, 1793, 1815, 1982, 2000, 2166, 2167, 2168, 2184, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2245, 2246, 2249, 2260, 2265, 2271, 2277, 2278, 2283, 2289, 2294, 2298, 2302, 2307], "weak": 7, "weakli": 2185, "weakly_monoton": 2185, "wealth": 2220, "weapon": [251, 884], "weasel": 1365, "weather": 2207, "weather_df": 2207, "web": [4, 6, 13, 1475, 2199, 2207, 2221, 2277], "webhdf": 2199, "webpag": 2, "webserv": [13, 255, 1473], "websit": [0, 4, 13, 34, 2207, 2217, 2228], "wed": [1145, 1400, 1491, 1657, 1677, 1699, 1720, 2195, 2210, 2217], "wedg": 2211, "wednesdai": [0, 291, 643, 1741, 1793, 1815, 1857, 2108, 2207, 2210], "week": [1, 13, 15, 18, 31, 292, 294, 332, 512, 513, 514, 515, 516, 519, 531, 532, 533, 535, 536, 543, 545, 549, 561, 563, 565, 566, 644, 646, 651, 662, 676, 688, 916, 963, 965, 982, 984, 1024, 1025, 1502, 1741, 1793, 1815, 1857, 2108, 2172, 2210, 2218, 2220, 2227, 2238, 2241, 2246, 2249, 2265, 2271, 2298, 2307], "week_start": [213, 788], "weekdai": [31, 292, 294, 513, 515, 517, 532, 534, 536, 543, 545, 644, 646, 662, 982, 1502, 1517, 1535, 1553, 1571, 1591, 1612, 1631, 1648, 1670, 1691, 1712, 1733, 1741, 1752, 1770, 1787, 1793, 1806, 1815, 1828, 1851, 1857, 1868, 1888, 1906, 1924, 1941, 1958, 1976, 1993, 2011, 2030, 2048, 2066, 2084, 2090, 2101, 2108, 2119, 2138, 2156, 2210, 2217, 2220, 2228, 2238, 2241, 2265, 2298, 2301, 2302], "weekday_nam": [2231, 2238, 2241, 2265], "weekend": [1145, 2210, 2215, 2217], "weekli": [1008, 2090, 2166, 2210, 2246, 2307], "weekmask": [1145, 1657, 1677, 1699, 1720, 2210, 2217, 2238], "weekmask_egypt": [2210, 2217], "weekofmonth": [2090, 2172, 2210, 2241], "weekofyear": [564, 2210, 2271, 2298], "weight": [15, 65, 72, 73, 102, 111, 121, 122, 218, 223, 241, 282, 633, 696, 697, 793, 798, 1158, 1193, 1194, 1254, 1255, 1298, 1299, 1300, 1301, 1302, 1303, 1338, 1339, 1340, 1341, 1395, 1400, 1407, 1411, 1432, 1433, 1443, 2172, 2195, 2196, 2197, 2204, 2207, 2222, 2226, 2228, 2230, 2249, 2255, 2271, 2277, 2283, 2289, 2294, 2298, 2302], "weight_column": [2197, 2226], "weighted_mean": 2212, "weird": [35, 1741], "welcom": [0, 1, 13, 2229, 2235, 2294], "welford": [2220, 2277], "well": [0, 2, 4, 5, 13, 15, 17, 22, 23, 24, 26, 27, 28, 29, 30, 34, 107, 176, 179, 197, 212, 266, 381, 517, 532, 573, 597, 609, 629, 787, 808, 1051, 1090, 1164, 1221, 1342, 1345, 1391, 1400, 1433, 1447, 1478, 1488, 1490, 1495, 2184, 2185, 2186, 2190, 2191, 2192, 2193, 2195, 2197, 2198, 2199, 2201, 2202, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2216, 2217, 2218, 2220, 2222, 2223, 2225, 2226, 2228, 2230, 2231, 2235, 2238, 2240, 2241, 2246, 2249, 2261, 2265, 2271, 2283, 2285, 2289, 2298, 2302], "were": [10, 15, 19, 58, 79, 127, 157, 354, 420, 591, 611, 703, 732, 799, 1061, 1271, 1360, 2186, 2194, 2195, 2197, 2199, 2201, 2204, 2205, 2210, 2214, 2215, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2230, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2243, 2246, 2247, 2248, 2249, 2250, 2251, 2253, 2264, 2265, 2267, 2269, 2271, 2272, 2277, 2278, 2283, 2285, 2286, 2287, 2289, 2291, 2292, 2293, 2294, 2298, 2302, 2304, 2307, 2310], "weren": [2199, 2217, 2218, 2232, 2237], "werror": 2276, "westminst": [26, 27, 29, 30, 31], "wet": 15, "whale": [136, 248, 712, 881], "what": [0, 1, 2, 3, 4, 10, 13, 14, 15, 21, 22, 25, 28, 31, 32, 33, 77, 89, 107, 124, 125, 377, 445, 601, 629, 700, 701, 1117, 1148, 1149, 1164, 1167, 1221, 1224, 1469, 1486, 2166, 2184, 2185, 2186, 2188, 2190, 2191, 2194, 2195, 2197, 2199, 2205, 2210, 2211, 2212, 2213, 2214, 2217, 2218], "whatev": [1, 212, 787, 1343, 2188, 2228, 2237], "whatsnew": [2, 4, 13, 2222, 2238], "wheat": [139, 140, 1174, 1175], "wheel": [13, 22, 2265, 2283, 2309, 2310], "when": [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 13, 18, 21, 22, 23, 24, 25, 26, 29, 31, 32, 34, 39, 46, 55, 62, 63, 65, 66, 72, 73, 77, 80, 82, 91, 94, 96, 98, 102, 107, 111, 114, 118, 121, 122, 123, 125, 126, 130, 132, 134, 135, 138, 141, 144, 147, 153, 155, 156, 159, 161, 164, 165, 166, 169, 170, 175, 176, 179, 183, 184, 185, 186, 188, 189, 190, 193, 195, 196, 197, 200, 201, 202, 205, 209, 212, 213, 214, 218, 223, 230, 232, 233, 234, 240, 241, 245, 251, 252, 254, 255, 258, 259, 262, 263, 267, 268, 269, 273, 274, 278, 279, 280, 281, 286, 288, 296, 316, 318, 326, 329, 331, 334, 337, 341, 342, 345, 346, 350, 351, 352, 354, 359, 360, 364, 371, 376, 379, 389, 406, 408, 421, 434, 436, 462, 482, 529, 532, 568, 581, 582, 586, 587, 588, 592, 593, 615, 617, 621, 629, 633, 639, 652, 670, 673, 680, 683, 684, 686, 696, 697, 698, 699, 701, 702, 709, 714, 717, 730, 731, 740, 742, 743, 744, 746, 750, 754, 757, 761, 762, 764, 765, 766, 768, 770, 771, 774, 775, 776, 778, 783, 787, 788, 789, 793, 798, 804, 806, 807, 815, 816, 821, 823, 824, 828, 829, 831, 832, 835, 857, 859, 862, 866, 879, 884, 889, 890, 893, 896, 897, 900, 904, 906, 908, 938, 940, 943, 948, 953, 957, 970, 997, 1014, 1031, 1035, 1039, 1064, 1069, 1071, 1072, 1076, 1078, 1081, 1094, 1103, 1118, 1128, 1141, 1142, 1145, 1146, 1148, 1149, 1152, 1158, 1164, 1167, 1178, 1181, 1182, 1183, 1187, 1188, 1190, 1192, 1193, 1198, 1200, 1203, 1204, 1207, 1208, 1211, 1221, 1237, 1240, 1241, 1242, 1243, 1244, 1248, 1249, 1251, 1253, 1254, 1259, 1261, 1264, 1269, 1270, 1272, 1275, 1286, 1289, 1304, 1305, 1306, 1314, 1321, 1322, 1323, 1331, 1342, 1343, 1345, 1347, 1348, 1349, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1358, 1359, 1362, 1364, 1365, 1367, 1368, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 1385, 1387, 1388, 1389, 1390, 1391, 1397, 1398, 1400, 1403, 1404, 1419, 1430, 1432, 1446, 1453, 1454, 1458, 1461, 1467, 1469, 1470, 1472, 1473, 1474, 1475, 1476, 1477, 1478, 1482, 1485, 1486, 1488, 1490, 1493, 1494, 1495, 1496, 1498, 1499, 1500, 1741, 1815, 2163, 2164, 2165, 2166, 2167, 2184, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2198, 2199, 2200, 2201, 2202, 2204, 2205, 2207, 2208, 2209, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2232, 2233, 2234, 2236, 2237, 2239, 2240, 2242, 2243, 2245, 2246, 2247, 2248, 2250, 2251, 2254, 2255, 2257, 2260, 2263, 2265, 2266, 2267, 2268, 2269, 2270, 2272, 2273, 2274, 2275, 2276, 2278, 2279, 2280, 2281, 2282, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2306, 2308, 2309], "whenev": [5, 7, 14, 750, 1354, 2188, 2200, 2217, 2235, 2269, 2277], "where": [1, 2, 3, 5, 9, 15, 16, 17, 19, 20, 29, 34, 44, 72, 73, 74, 79, 80, 81, 82, 89, 95, 102, 111, 114, 117, 119, 124, 125, 144, 163, 167, 169, 176, 179, 182, 183, 202, 211, 212, 225, 242, 255, 258, 265, 278, 282, 283, 286, 288, 296, 318, 321, 331, 352, 353, 363, 401, 419, 420, 473, 492, 581, 582, 583, 591, 592, 593, 601, 603, 624, 639, 652, 673, 686, 693, 695, 700, 701, 741, 754, 757, 760, 761, 776, 786, 787, 799, 800, 817, 830, 835, 858, 859, 889, 895, 904, 910, 923, 927, 940, 943, 948, 957, 970, 997, 1014, 1040, 1052, 1056, 1060, 1061, 1136, 1143, 1146, 1150, 1151, 1152, 1158, 1167, 1182, 1187, 1191, 1209, 1210, 1211, 1215, 1224, 1241, 1242, 1243, 1248, 1252, 1269, 1270, 1289, 1291, 1304, 1308, 1314, 1316, 1318, 1320, 1321, 1323, 1325, 1331, 1333, 1335, 1337, 1344, 1345, 1357, 1387, 1391, 1394, 1395, 1396, 1397, 1398, 1402, 1403, 1407, 1408, 1409, 1410, 1411, 1413, 1415, 1418, 1424, 1430, 1433, 1445, 1446, 1448, 1455, 1457, 1463, 1469, 1473, 1474, 1478, 1482, 1483, 1484, 1486, 1487, 1488, 1490, 2167, 2184, 2185, 2186, 2188, 2190, 2191, 2193, 2194, 2195, 2196, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2232, 2233, 2234, 2236, 2237, 2238, 2239, 2241, 2242, 2243, 2245, 2246, 2247, 2248, 2249, 2250, 2251, 2252, 2263, 2264, 2265, 2266, 2267, 2269, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2281, 2282, 2283, 2285, 2286, 2289, 2292, 2293, 2294, 2295, 2298, 2299, 2301, 2302, 2303, 2304, 2307, 2308], "wherea": [24, 25, 28, 32, 146, 720, 1148, 1149, 1207, 1208, 1280, 1475, 2185, 2207, 2212, 2222, 2237, 2249, 2289], "wherebi": [1, 2266, 2272], "wherev": [2, 3, 599, 2197], "whether": [2, 3, 5, 10, 12, 13, 14, 16, 17, 18, 22, 24, 25, 28, 29, 32, 34, 39, 44, 45, 46, 48, 49, 57, 61, 62, 66, 69, 75, 76, 77, 79, 88, 92, 96, 97, 109, 111, 112, 114, 117, 118, 119, 120, 129, 132, 135, 137, 143, 144, 147, 148, 149, 159, 161, 163, 168, 171, 173, 175, 177, 178, 186, 199, 202, 203, 204, 205, 206, 209, 212, 213, 214, 215, 216, 217, 220, 221, 222, 226, 227, 228, 233, 241, 244, 252, 257, 261, 269, 272, 274, 275, 284, 286, 304, 305, 306, 307, 308, 309, 310, 342, 345, 356, 357, 367, 384, 389, 391, 393, 394, 395, 398, 399, 401, 402, 429, 434, 437, 445, 455, 459, 461, 462, 463, 464, 468, 469, 473, 475, 477, 541, 563, 584, 585, 591, 599, 600, 610, 614, 615, 616, 620, 656, 657, 658, 659, 660, 661, 692, 693, 695, 713, 719, 724, 725, 726, 741, 745, 755, 756, 762, 778, 783, 787, 788, 801, 802, 823, 827, 836, 837, 838, 839, 840, 841, 842, 843, 844, 867, 880, 893, 894, 898, 909, 912, 945, 953, 1031, 1035, 1039, 1040, 1044, 1045, 1050, 1052, 1077, 1079, 1081, 1082, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1093, 1095, 1097, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1110, 1111, 1112, 1113, 1114, 1115, 1118, 1121, 1122, 1123, 1124, 1125, 1127, 1128, 1129, 1130, 1132, 1136, 1138, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1154, 1173, 1188, 1230, 1234, 1235, 1249, 1315, 1332, 1343, 1344, 1345, 1383, 1387, 1390, 1391, 1393, 1402, 1404, 1406, 1407, 1411, 1419, 1432, 1433, 1434, 1435, 1436, 1441, 1442, 1447, 1449, 1450, 1467, 1469, 1470, 1471, 1475, 1485, 1486, 1488, 1489, 1490, 1492, 1493, 1494, 1495, 1496, 1509, 1510, 1511, 1512, 1513, 1514, 1515, 1516, 1527, 1528, 1529, 1530, 1531, 1532, 1533, 1534, 1545, 1546, 1547, 1548, 1549, 1550, 1551, 1552, 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1583, 1584, 1585, 1586, 1587, 1588, 1589, 1590, 1604, 1605, 1606, 1607, 1608, 1609, 1610, 1611, 1623, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1640, 1641, 1642, 1643, 1644, 1645, 1646, 1647, 1662, 1663, 1664, 1665, 1666, 1667, 1668, 1669, 1683, 1684, 1685, 1686, 1687, 1688, 1689, 1690, 1704, 1705, 1706, 1707, 1708, 1709, 1710, 1711, 1725, 1726, 1727, 1728, 1729, 1730, 1731, 1732, 1741, 1744, 1745, 1746, 1747, 1748, 1749, 1750, 1751, 1763, 1764, 1765, 1766, 1767, 1768, 1769, 1779, 1780, 1781, 1782, 1783, 1784, 1785, 1786, 1798, 1799, 1800, 1801, 1802, 1803, 1804, 1805, 1820, 1821, 1822, 1823, 1824, 1825, 1826, 1827, 1844, 1845, 1846, 1847, 1848, 1849, 1850, 1860, 1861, 1862, 1863, 1864, 1865, 1866, 1867, 1881, 1882, 1883, 1884, 1885, 1886, 1887, 1899, 1900, 1901, 1902, 1903, 1904, 1905, 1917, 1918, 1919, 1920, 1921, 1922, 1923, 1933, 1934, 1935, 1936, 1937, 1938, 1939, 1940, 1950, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2023, 2024, 2025, 2026, 2027, 2028, 2029, 2040, 2041, 2042, 2043, 2044, 2045, 2046, 2047, 2058, 2059, 2060, 2061, 2062, 2063, 2064, 2065, 2077, 2078, 2079, 2080, 2081, 2082, 2083, 2093, 2094, 2095, 2096, 2097, 2098, 2099, 2100, 2111, 2112, 2113, 2114, 2115, 2116, 2117, 2118, 2130, 2131, 2132, 2133, 2134, 2135, 2136, 2137, 2148, 2149, 2150, 2151, 2152, 2153, 2154, 2155, 2164, 2165, 2185, 2186, 2187, 2188, 2191, 2192, 2194, 2195, 2197, 2199, 2200, 2201, 2202, 2208, 2209, 2210, 2212, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2224, 2226, 2228, 2230, 2232, 2235, 2238, 2240, 2241, 2246, 2249, 2265, 2277, 2289, 2294, 2302, 2308], "which": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 12, 13, 14, 15, 16, 17, 18, 19, 22, 24, 25, 26, 29, 30, 31, 32, 34, 36, 39, 41, 42, 44, 50, 53, 54, 56, 58, 59, 60, 61, 62, 63, 66, 69, 74, 75, 76, 77, 79, 80, 82, 89, 91, 96, 98, 100, 102, 107, 109, 111, 112, 113, 114, 116, 119, 120, 121, 124, 125, 126, 129, 141, 142, 143, 147, 148, 149, 151, 162, 169, 171, 173, 177, 178, 183, 186, 188, 189, 190, 192, 193, 195, 197, 199, 203, 204, 206, 207, 208, 209, 210, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 226, 227, 233, 241, 244, 247, 249, 251, 253, 255, 256, 258, 259, 260, 261, 263, 264, 265, 267, 270, 274, 275, 276, 277, 278, 285, 286, 291, 292, 294, 303, 314, 322, 332, 345, 346, 351, 352, 355, 362, 363, 365, 366, 367, 369, 373, 376, 377, 378, 389, 390, 402, 413, 417, 423, 429, 430, 432, 434, 459, 465, 478, 489, 494, 514, 516, 533, 540, 562, 574, 576, 583, 584, 585, 590, 591, 592, 593, 601, 605, 608, 611, 612, 613, 614, 615, 619, 621, 622, 624, 629, 633, 635, 636, 643, 644, 646, 655, 667, 677, 681, 688, 692, 695, 696, 699, 700, 701, 702, 717, 719, 725, 726, 745, 755, 756, 761, 762, 764, 765, 766, 768, 770, 776, 781, 782, 783, 784, 787, 788, 793, 801, 802, 831, 852, 853, 861, 874, 880, 882, 884, 886, 888, 889, 890, 891, 892, 893, 894, 895, 896, 898, 902, 903, 904, 913, 953, 956, 962, 990, 1008, 1013, 1014, 1031, 1045, 1064, 1065, 1068, 1069, 1071, 1072, 1077, 1118, 1125, 1141, 1146, 1148, 1149, 1156, 1158, 1164, 1167, 1168, 1182, 1183, 1187, 1188, 1191, 1193, 1202, 1203, 1207, 1208, 1213, 1215, 1221, 1224, 1241, 1244, 1248, 1249, 1252, 1254, 1263, 1264, 1272, 1275, 1289, 1343, 1345, 1347, 1350, 1354, 1384, 1388, 1389, 1390, 1391, 1393, 1394, 1395, 1396, 1397, 1398, 1400, 1403, 1404, 1407, 1411, 1414, 1415, 1416, 1418, 1430, 1431, 1432, 1433, 1434, 1444, 1446, 1449, 1450, 1458, 1463, 1467, 1469, 1470, 1472, 1473, 1474, 1475, 1478, 1482, 1483, 1486, 1487, 1488, 1490, 1494, 1496, 1497, 1498, 1506, 1524, 1620, 1637, 1776, 1793, 1815, 1930, 1947, 1982, 2000, 2127, 2145, 2167, 2172, 2184, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2200, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2241, 2242, 2243, 2246, 2247, 2248, 2249, 2250, 2253, 2255, 2257, 2260, 2261, 2265, 2266, 2267, 2270, 2271, 2273, 2275, 2277, 2278, 2280, 2283, 2286, 2287, 2289, 2291, 2293, 2294, 2298, 2302, 2304, 2307, 2308], "whichev": [202, 776, 1314, 1331, 2207, 2222], "while": [2, 3, 4, 6, 10, 13, 14, 16, 17, 19, 22, 37, 98, 151, 167, 172, 191, 194, 207, 267, 268, 269, 331, 621, 686, 715, 716, 767, 769, 781, 896, 911, 1152, 1211, 1231, 1232, 1445, 1469, 1473, 1482, 1486, 1498, 2167, 2184, 2188, 2190, 2191, 2193, 2194, 2195, 2196, 2197, 2199, 2200, 2201, 2203, 2204, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2218, 2222, 2224, 2228, 2230, 2238, 2241, 2246, 2249, 2260, 2261, 2265, 2271, 2275, 2277, 2278, 2283, 2289, 2298, 2302, 2307], "whilst": [1416, 2207, 2277], "whisker": [91, 190, 766, 1458, 2211], "whiskerprop": 2271, "white": [107, 629, 785, 1164, 1221, 1384, 1418, 1423, 2199, 2207, 2217, 2220, 2222, 2224, 2226, 2230, 2294], "whitespac": [17, 203, 258, 822, 836, 837, 838, 839, 840, 841, 842, 843, 844, 847, 849, 852, 853, 860, 861, 862, 863, 866, 868, 873, 889, 1468, 1469, 1486, 2199, 2201, 2208, 2246, 2289, 2302], "whl": 13, "who": [0, 1, 2, 4, 13, 34, 2195, 2200, 2239, 2241], "whole": [3, 17, 24, 77, 91, 137, 183, 186, 188, 189, 253, 255, 586, 713, 740, 761, 762, 764, 765, 886, 1154, 1173, 1188, 1230, 1249, 1431, 1469, 1486, 2199, 2207, 2217, 2246, 2302], "whose": [7, 60, 75, 76, 77, 91, 141, 168, 169, 185, 197, 249, 279, 584, 585, 613, 683, 717, 882, 923, 1148, 1149, 1202, 1342, 1421, 1444, 1446, 1447, 1454, 1458, 2185, 2186, 2191, 2195, 2197, 2199, 2202, 2204, 2211, 2212, 2218, 2224, 2228, 2229, 2230, 2237, 2241, 2249, 2271, 2283, 2289, 2294, 2298], "why": [2, 3, 14, 22, 31, 212, 787, 2186], "wide": [5, 21, 123, 167, 184, 185, 241, 698, 1152, 1211, 1345, 1391, 1433, 1444, 1445, 1453, 1454, 1488, 1490, 2166, 2191, 2197, 2199, 2202, 2204, 2207, 2213, 2228, 2235, 2241, 2246, 2265, 2277, 2298, 2304], "wide_fram": 2214, "wide_t": 2214, "wide_to_long": [184, 185, 1444, 1453, 1454, 2196, 2218, 2225, 2235, 2236, 2241, 2246, 2294, 2308], "widepanel": [2228, 2246], "wider": [0, 207, 781, 2199, 2223, 2249, 2307], "widget": [1473, 2256], "width": [91, 137, 186, 197, 257, 269, 762, 822, 847, 852, 860, 873, 874, 1154, 1173, 1188, 1249, 1343, 1345, 1391, 1398, 1419, 1433, 1458, 1465, 1468, 1469, 1470, 1472, 1486, 1488, 1490, 1498, 2191, 2201, 2202, 2204, 2207, 2208, 2210, 2211, 2212, 2214, 2218, 2220, 2221, 2222, 2226, 2227, 2231, 2232, 2235, 2241, 2246, 2249, 2260, 2271, 2289, 2292, 2300], "widtn": 1433, "wiecki": 35, "wieldi": 2166, "wiki": [923, 1272, 1275, 1306, 1323, 1457, 1793, 1815, 2199], "wikipedia": [32, 91, 190, 766, 923, 1272, 1275, 1306, 1323, 1457, 1458, 1793, 1815, 2199, 2211, 2212], "wild": [134, 709, 2214], "willem": 35, "william": [23, 25, 32, 2248], "win32": 2218, "win_typ": [218, 793, 1193, 1254, 1338, 1339, 1340, 1341, 2212, 2222, 2277, 2283, 2294, 2298], "wind": [1397, 1430], "window": [2, 5, 6, 21, 22, 34, 72, 73, 102, 103, 104, 105, 106, 121, 122, 202, 218, 250, 251, 625, 626, 627, 628, 696, 697, 776, 793, 883, 884, 1073, 1074, 1075, 1158, 1193, 1254, 1352, 1379, 2172, 2184, 2186, 2196, 2199, 2210, 2218, 2219, 2220, 2221, 2222, 2232, 2234, 2236, 2237, 2238, 2240, 2242, 2245, 2246, 2249, 2250, 2263, 2264, 2267, 2269, 2271, 2277, 2285, 2286, 2287, 2290, 2291, 2294, 2298, 2300, 2307], "window_s": [218, 793, 1073, 1074, 1075, 2212], "windspe": [133, 208, 708, 782], "wing": [147, 172], "winter": [953, 2210, 2211, 2271], "wire": [2199, 2249], "wisdom": 13, "wise": [10, 21, 27, 30, 32, 65, 68, 69, 92, 94, 95, 100, 109, 118, 129, 132, 135, 139, 140, 159, 161, 171, 173, 175, 180, 199, 202, 204, 206, 215, 216, 217, 220, 221, 222, 244, 247, 275, 577, 578, 586, 616, 618, 631, 632, 694, 706, 707, 710, 734, 739, 740, 747, 749, 753, 773, 777, 780, 790, 791, 792, 795, 796, 797, 821, 878, 880, 901, 1148, 1149, 1152, 1156, 1174, 1175, 1203, 1207, 1208, 1211, 1264, 1275, 1336, 1395, 1396, 1397, 1411, 1413, 1414, 1415, 1430, 1448, 1469, 1470, 1478, 1486, 2184, 2188, 2191, 2193, 2194, 2195, 2199, 2200, 2207, 2210, 2211, 2212, 2218, 2232, 2238, 2246, 2294, 2302], "wish": [0, 2, 5, 17, 22, 253, 886, 1431, 1478, 1498, 2166, 2185, 2186, 2195, 2197, 2199, 2207, 2211, 2227, 2235, 2241, 2257, 2260], "with_connectivity_check": 2217, "with_index": 2220, "within": [0, 2, 8, 13, 16, 17, 18, 19, 25, 28, 30, 34, 75, 76, 77, 81, 83, 91, 127, 134, 138, 147, 157, 205, 541, 584, 585, 589, 590, 594, 703, 709, 714, 732, 750, 778, 823, 893, 1035, 1042, 1118, 1150, 1151, 1157, 1159, 1166, 1167, 1169, 1177, 1178, 1180, 1181, 1183, 1185, 1186, 1189, 1191, 1194, 1195, 1196, 1198, 1199, 1200, 1205, 1209, 1210, 1214, 1216, 1223, 1224, 1226, 1236, 1237, 1239, 1240, 1244, 1245, 1246, 1247, 1250, 1252, 1255, 1256, 1257, 1259, 1260, 1261, 1267, 1273, 1276, 1281, 1283, 1284, 1287, 1288, 1290, 1291, 1292, 1294, 1295, 1297, 1343, 1345, 1372, 1391, 1393, 1398, 1403, 1404, 1406, 1420, 1421, 1422, 1424, 1432, 1433, 1447, 1458, 1475, 1488, 1490, 2180, 2185, 2191, 2193, 2195, 2198, 2199, 2200, 2202, 2203, 2204, 2207, 2208, 2210, 2211, 2212, 2218, 2241, 2242, 2246, 2249, 2265, 2271, 2277, 2289, 2291, 2298], "without": [2, 3, 6, 10, 13, 18, 34, 37, 38, 78, 80, 85, 98, 107, 117, 144, 162, 176, 179, 185, 205, 213, 230, 251, 253, 289, 341, 353, 371, 405, 418, 421, 532, 592, 596, 621, 629, 633, 641, 693, 740, 748, 778, 788, 789, 804, 821, 824, 862, 865, 866, 884, 886, 905, 911, 915, 1047, 1119, 1120, 1121, 1122, 1123, 1124, 1141, 1143, 1144, 1164, 1221, 1275, 1309, 1326, 1372, 1382, 1416, 1422, 1431, 1432, 1433, 1444, 1454, 1469, 1470, 1478, 1482, 1483, 1484, 1486, 1487, 1741, 2166, 2167, 2169, 2180, 2184, 2185, 2186, 2187, 2188, 2190, 2191, 2193, 2197, 2198, 2199, 2200, 2201, 2207, 2208, 2209, 2211, 2218, 2220, 2222, 2226, 2228, 2230, 2231, 2232, 2233, 2234, 2235, 2238, 2240, 2241, 2242, 2246, 2248, 2249, 2250, 2257, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307, 2308, 2309], "wizard": 17, "wom": [2210, 2227], "womacto01": 2191, "won": [5, 16, 17, 18, 19, 1263, 2186, 2190, 2191, 2197, 2199, 2207, 2208, 2241, 2294, 2298, 2307], "wonder": [5, 25, 29, 2197], "word": [3, 7, 10, 31, 32, 74, 89, 124, 125, 583, 601, 700, 701, 819, 820, 831, 836, 837, 838, 839, 840, 841, 842, 843, 844, 848, 857, 869, 870, 872, 873, 1040, 1052, 1167, 1224, 2185, 2188, 2193, 2195, 2197, 2199, 2208, 2210, 2211, 2232, 2241], "work": [0, 1, 2, 6, 10, 13, 14, 16, 17, 19, 21, 22, 23, 25, 26, 27, 31, 32, 34, 36, 66, 72, 73, 77, 90, 110, 114, 146, 151, 191, 194, 212, 273, 341, 390, 426, 436, 581, 582, 586, 602, 636, 720, 767, 769, 787, 808, 821, 900, 908, 1068, 1077, 1117, 1148, 1149, 1168, 1203, 1207, 1208, 1264, 1269, 1270, 1280, 1304, 1321, 1350, 1400, 1406, 1407, 1411, 1419, 1433, 1469, 1475, 1486, 1741, 2167, 2172, 2184, 2185, 2186, 2190, 2191, 2192, 2193, 2195, 2196, 2197, 2198, 2199, 2202, 2204, 2205, 2207, 2209, 2214, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2228, 2231, 2232, 2233, 2235, 2238, 2239, 2240, 2241, 2246, 2249, 2253, 2261, 2263, 2265, 2271, 2277, 2278, 2283, 2286, 2289, 2293, 2294, 2297, 2298, 2302, 2304, 2307, 2309], "workaround": 2218, "workbook": [17, 253, 337, 341, 886, 1431, 2199, 2246], "worker": [2195, 2210, 2217], "workflow": [1, 2, 13, 2205], "workhors": 2199, "working_with_panda": 2199, "workload": [5, 2199, 2205], "worksheet": [17, 1470, 2199, 2207, 2228], "world": [30, 34, 35, 833, 1447, 2191, 2192, 2201, 2223, 2229, 2241], "worri": 2260, "wors": [4, 256, 346, 351, 888, 2199], "worth": [2, 26, 2185, 2193, 2199, 2207, 2212], "worthwhil": 2199, "would": [0, 2, 3, 5, 10, 13, 15, 16, 17, 18, 19, 23, 25, 32, 34, 66, 98, 114, 121, 141, 203, 213, 230, 256, 330, 361, 420, 427, 589, 621, 685, 696, 717, 788, 799, 804, 874, 888, 1042, 1044, 1056, 1061, 1118, 1182, 1241, 1355, 1379, 1387, 1467, 1469, 1470, 1486, 1492, 1498, 1741, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2201, 2204, 2210, 2211, 2212, 2214, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2245, 2246, 2247, 2248, 2249, 2250, 2251, 2257, 2260, 2263, 2265, 2266, 2267, 2269, 2271, 2272, 2273, 2274, 2275, 2277, 2278, 2279, 2283, 2285, 2286, 2288, 2290, 2291, 2292, 2293, 2294, 2295, 2298, 2299, 2301, 2302, 2304, 2307, 2308], "wouldn": [2199, 2221, 2223, 2246, 2265, 2277], "wp": 2214, "wrangl": 35, "wrap": [2, 3, 13, 160, 187, 196, 269, 590, 738, 763, 771, 1118, 1140, 1345, 1391, 1403, 1404, 1415, 1418, 1433, 1470, 1475, 1487, 1488, 1490, 2199, 2202, 2207, 2208, 2210, 2220, 2222, 2225, 2226, 2230, 2238, 2246, 2283, 2294, 2298, 2302, 2307], "wraparound": 2193, "wrapper": [16, 17, 18, 19, 69, 109, 118, 129, 132, 135, 146, 159, 161, 171, 173, 175, 199, 204, 206, 215, 216, 217, 220, 221, 222, 244, 275, 362, 590, 720, 1280, 1482, 2184, 2191, 2199, 2205, 2207, 2208, 2210, 2211, 2220, 2235, 2246, 2249], "writabl": [42, 54, 144], "write": [1, 4, 10, 11, 13, 16, 17, 18, 19, 21, 22, 25, 33, 34, 74, 82, 98, 143, 144, 151, 169, 183, 207, 208, 209, 210, 226, 227, 250, 251, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 267, 268, 269, 270, 271, 272, 274, 276, 277, 278, 341, 346, 351, 352, 583, 593, 621, 719, 761, 781, 782, 783, 784, 801, 802, 880, 883, 884, 886, 888, 889, 890, 892, 894, 895, 896, 897, 898, 899, 902, 903, 904, 1091, 1187, 1248, 1289, 1345, 1350, 1391, 1415, 1431, 1432, 1433, 1434, 1446, 1469, 1470, 1472, 1473, 1474, 1486, 1488, 1490, 2172, 2184, 2186, 2188, 2191, 2195, 2196, 2197, 2202, 2205, 2207, 2211, 2214, 2215, 2217, 2218, 2219, 2220, 2222, 2223, 2224, 2226, 2228, 2230, 2232, 2234, 2235, 2238, 2239, 2246, 2248, 2249, 2251, 2253, 2255, 2258, 2265, 2269, 2271, 2277, 2289, 2296, 2297, 2300, 2301, 2308], "write_cel": [2294, 2298], "write_feath": 254, "write_fram": [2220, 2230], "write_index": 268, "write_json": 2241, "write_t": 262, "writeabl": [2190, 2231, 2268], "writebuff": [2184, 2199, 2205], "writer": [24, 253, 268, 341, 886, 1345, 1391, 1431, 1440, 1488, 1490, 2202, 2217, 2218, 2221, 2238, 2241, 2249, 2265, 2271, 2277, 2297], "writerow": 2199, "written": [2, 4, 8, 16, 19, 34, 35, 253, 255, 262, 263, 267, 341, 564, 566, 886, 896, 1431, 1476, 1491, 2193, 2199, 2207, 2212, 2214, 2218, 2222, 2228, 2235, 2237, 2238, 2241, 2246, 2249, 2265, 2266, 2271, 2283, 2289, 2294], "wrong": [420, 799, 1076, 1087, 1114, 1118, 1389, 2195, 2218, 2219, 2220, 2222, 2224, 2226, 2230, 2232, 2235, 2238, 2241, 2242, 2246, 2249, 2261, 2265, 2270, 2271, 2272, 2275, 2277, 2278, 2283, 2289, 2292, 2294, 2295, 2296, 2298, 2300, 2302, 2306, 2307], "wrongli": [2237, 2238, 2246, 2247, 2271, 2277], "wrote": [250, 883, 2199, 2217, 2246, 2253], "wsl": [5, 2283], "wsl2": 1491, "wspace": 2211, "wt": [260, 892], "wv": 2199, "www": [5, 13, 267, 896, 1403, 1404, 2199], "x": [2, 4, 13, 14, 15, 16, 17, 19, 24, 25, 26, 27, 28, 29, 30, 31, 32, 56, 60, 63, 67, 72, 73, 77, 78, 81, 91, 97, 130, 134, 137, 141, 160, 162, 184, 186, 187, 188, 189, 191, 192, 194, 195, 197, 209, 232, 233, 234, 251, 273, 280, 341, 370, 378, 388, 405, 409, 445, 465, 483, 489, 496, 499, 505, 506, 509, 532, 573, 576, 586, 613, 620, 713, 717, 738, 762, 763, 764, 765, 767, 769, 770, 776, 783, 806, 807, 808, 829, 853, 861, 865, 884, 900, 999, 1035, 1055, 1100, 1102, 1146, 1147, 1148, 1149, 1152, 1154, 1159, 1168, 1172, 1173, 1184, 1187, 1188, 1201, 1203, 1206, 1207, 1208, 1211, 1216, 1225, 1229, 1230, 1248, 1249, 1262, 1264, 1268, 1269, 1270, 1289, 1296, 1323, 1343, 1344, 1348, 1354, 1362, 1369, 1375, 1383, 1385, 1391, 1395, 1396, 1403, 1404, 1406, 1414, 1415, 1438, 1453, 1455, 1458, 1459, 1460, 1464, 1465, 1467, 1469, 1470, 1474, 1486, 1488, 1490, 1793, 1815, 2166, 2184, 2185, 2186, 2188, 2191, 2192, 2193, 2194, 2195, 2197, 2199, 2200, 2202, 2204, 2205, 2206, 2207, 2208, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2222, 2223, 2224, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2245, 2246, 2247, 2248, 2249, 2254, 2257, 2260, 2261, 2264, 2265, 2271, 2277, 2283, 2289, 2293, 2294, 2295, 2297, 2298, 2302, 2307, 2309], "x0": [2200, 2214, 2246], "x1": [2200, 2214, 2246], "x2": [2200, 2214, 2246], "x2b": [2191, 2197, 2231], "x3": [1396, 1414, 2200], "x3b": 2191, "x86_64": [1491, 2193], "x9fe": 2199, "x_": [121, 696, 2212], "x_0": [121, 696, 2205, 2212], "x_1": [121, 696, 1455], "x_2": [121, 696, 1455], "x_3": 1455, "x_4": 1455, "x_5": 1455, "x_9": 2205, "x_compat": [1462, 2211, 2264], "x_max": 1465, "x_min": 1465, "x_t": [121, 696, 2212], "xa4umen": 2199, "xaml": 2199, "xarrai": [22, 271, 899, 2199, 2230, 2232, 2235, 2241, 2249, 2265, 2269, 2271, 2277, 2283, 2289, 2293, 2294, 2298, 2302, 2307], "xaxi": [1462, 2211], "xbc": 2199, "xc": 865, "xc3": 2199, "xcde": 865, "xclip": [22, 250, 883, 2199], "xcode": 5, "xcolor": 1433, "xdc": 865, "xdf": 13, "xdist": [2, 2298], "xerr": [186, 762, 1188, 1249, 2211, 2232, 2271], "xfail": [2, 22], "xhtml": 2199, "xit": 2199, "xl": [22, 337, 341, 1345, 1391, 1470, 1488, 1490, 2199, 2202, 2217, 2225, 2264, 2277, 2283, 2307], "xlabel": [26, 29, 31, 186, 762, 1188, 1249, 1460, 1465, 2191, 2211, 2225, 2226, 2271, 2277, 2294, 2298], "xlabels": [137, 713, 1173, 1230], "xlc": 2283, "xlim": [186, 762, 1188, 1249, 2221, 2238, 2265], "xlrd": [22, 337, 1345, 1391, 1470, 1488, 1490, 2199, 2202, 2220, 2238, 2246, 2249, 2265, 2271, 2277, 2279, 2283, 2289, 2294, 2307], "xlrd_book": 2199, "xlsb": [22, 337, 1345, 1391, 1470, 1488, 1490, 2196, 2202, 2265, 2283, 2307], "xlsm": [253, 337, 886, 1345, 1391, 1431, 1470, 1488, 1490, 2199, 2202, 2307], "xlsx": [17, 22, 24, 253, 337, 339, 341, 886, 1345, 1348, 1391, 1403, 1431, 1470, 1488, 1490, 2184, 2199, 2202, 2207, 2228, 2235, 2277, 2283, 2289, 2307], "xlsxwriter": [22, 253, 341, 886, 1345, 1391, 1431, 1488, 1490, 2199, 2202, 2207, 2220, 2225, 2241, 2249, 2265, 2271, 2277, 2283, 2289, 2294, 2302, 2307], "xlwt": [2220, 2249, 2265, 2271, 2277, 2283, 2289, 2294], "xlwtwriter": 2220, "xml": [272, 1475, 1487, 2172, 2196, 2258, 2298], "xml_data": [1487, 2199], "xml_date": 2294, "xml_declar": [272, 2199], "xml_doc": 2199, "xmln": [272, 1487, 2199], "xmlparser": 2199, "xmlsyntaxerror": 2294, "xor": [108, 630, 2265], "xpass": [2, 22], "xpath": [1487, 2199, 2283], "xport": [16, 1480, 2199, 2230], "xportout": 16, "xportread": [1480, 2199, 2232], "xpt": [16, 2199, 2228], "xr": 2289, "xrang": 2230, "xrot": [137, 713, 1173, 1230, 2265], "xs_stand": 2186, "xsd": 2199, "xsel": [22, 250, 883, 2199], "xsl": 2199, "xsl_doc": 2199, "xslt": [272, 1487, 2199, 2283], "xtick": [186, 762, 1188, 1249, 1461, 2222, 2229, 2265, 2294], "xticklabel": [2226, 2277], "xx": [2208, 2232], "xxx": [2202, 2203], "xxxxxxxxx": 2218, "xxxxyyi": 2195, "xy": 2200, "xyz": [212, 341, 787, 2199, 2214], "xz": [251, 258, 265, 268, 272, 884, 889, 895, 1469, 1476, 1479, 1480, 1485, 1486, 1487, 2199, 2231, 2235, 2250, 2279], "xz2": 2294, "y": [2, 15, 16, 17, 19, 22, 26, 32, 63, 72, 73, 91, 97, 130, 137, 184, 186, 187, 188, 189, 191, 192, 194, 195, 196, 197, 209, 212, 264, 270, 280, 322, 326, 341, 370, 483, 496, 499, 505, 506, 532, 541, 544, 546, 555, 562, 567, 573, 620, 677, 680, 713, 762, 763, 764, 765, 767, 769, 770, 771, 787, 815, 853, 861, 894, 898, 923, 999, 1000, 1008, 1102, 1106, 1147, 1154, 1173, 1184, 1188, 1206, 1230, 1249, 1268, 1323, 1362, 1375, 1383, 1385, 1391, 1406, 1415, 1440, 1453, 1458, 1459, 1460, 1464, 1465, 1469, 1474, 1482, 1486, 1488, 1490, 1498, 1500, 1501, 1578, 1657, 1677, 1699, 1720, 1793, 1815, 2185, 2186, 2188, 2191, 2192, 2193, 2195, 2197, 2199, 2200, 2203, 2205, 2209, 2210, 2218, 2220, 2222, 2223, 2224, 2225, 2228, 2229, 2235, 2238, 2241, 2242, 2246, 2248, 2249, 2257, 2260, 2262, 2265, 2271, 2277, 2289, 2293, 2294, 2295, 2298, 2302], "y0": [2200, 2246], "y1": [2200, 2246], "y2": [2200, 2209, 2246], "y3": [2200, 2246], "y_": [121, 696, 2212], "y_0": [121, 696, 2205, 2212], "y_9": 2205, "y_max": 1465, "y_min": 1465, "y_t": [121, 696, 2212], "yahoo": [2220, 2223, 2224, 2263], "yale": [2199, 2294], "yaml": [13, 2289], "yanke": 1444, "yarikopt": 2218, "ye": [6, 16, 17, 18, 24, 25, 28, 29, 32, 213, 303, 333, 655, 689, 788, 898, 2186, 2199, 2210, 2211, 2212, 2214, 2263], "year": [16, 17, 19, 24, 25, 28, 29, 31, 32, 195, 228, 270, 286, 293, 295, 303, 308, 309, 418, 421, 510, 512, 513, 514, 515, 516, 517, 518, 519, 523, 529, 531, 532, 534, 535, 536, 540, 544, 546, 549, 552, 555, 561, 564, 566, 645, 647, 651, 655, 660, 661, 662, 676, 770, 953, 960, 964, 966, 975, 980, 981, 982, 994, 995, 1005, 1008, 1011, 1023, 1025, 1345, 1391, 1444, 1488, 1490, 1498, 1506, 1515, 1516, 1524, 1533, 1534, 1542, 1551, 1552, 1560, 1569, 1570, 1589, 1590, 1610, 1611, 1629, 1630, 1646, 1647, 1668, 1669, 1689, 1690, 1710, 1711, 1731, 1732, 1741, 1750, 1751, 1768, 1769, 1776, 1785, 1786, 1793, 1804, 1805, 1815, 1826, 1827, 1849, 1850, 1866, 1867, 1886, 1887, 1904, 1905, 1922, 1923, 1939, 1940, 1956, 1957, 1974, 1975, 1982, 1991, 1992, 2000, 2009, 2010, 2028, 2029, 2046, 2047, 2064, 2065, 2082, 2083, 2099, 2100, 2117, 2118, 2127, 2136, 2137, 2145, 2154, 2155, 2166, 2186, 2191, 2195, 2197, 2199, 2202, 2204, 2205, 2210, 2216, 2217, 2218, 2220, 2222, 2223, 2226, 2227, 2228, 2229, 2231, 2232, 2235, 2238, 2241, 2249, 2261, 2265, 2271, 2273, 2289, 2298, 2307], "year1": 1444, "year2": 1444, "year_2017": 445, "yearbegin": [898, 2172, 2210, 2230, 2307], "yearend": [2172, 2210, 2307], "yearfirst": [286, 1498, 2210, 2228, 2307], "yearli": [264, 2210], "yellow": [188, 189, 195, 197, 401, 764, 765, 770, 1396, 1399, 1407, 1408, 1409, 1410, 1411, 1414, 1415, 1418, 1421, 2197, 2200, 2207], "yerr": [186, 762, 1188, 1249, 2211, 2232, 2271, 2283], "yet": [1, 2, 6, 1076, 2199, 2201, 2207, 2211, 2220, 2222, 2294], "yield": [2, 150, 151, 152, 353, 1147, 1206, 1268, 2184, 2186, 2191, 2193, 2197, 2199, 2206, 2207, 2209, 2210, 2212, 2214, 2217, 2218, 2221, 2222, 2225, 2230, 2232, 2235, 2238, 2241, 2257, 2265, 2294, 2307], "yike": 2197, "ylabel": [26, 31, 186, 762, 1188, 1249, 1460, 1465, 2191, 2211, 2225, 2271, 2277, 2294, 2298], "ylabels": [137, 713, 1173, 1230], "ylgnbu": 2207, "ylim": [186, 762, 1188, 1249, 2211], "ylorrd": [1397, 1430], "yml": [1, 5, 13], "york": [18, 142, 586], "you": [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 12, 13, 14, 15, 16, 17, 18, 19, 21, 22, 23, 25, 26, 27, 29, 34, 35, 36, 44, 60, 74, 77, 81, 82, 83, 88, 91, 98, 114, 120, 138, 141, 143, 144, 146, 148, 149, 151, 160, 162, 164, 167, 169, 170, 177, 178, 182, 183, 184, 186, 188, 190, 203, 207, 208, 209, 210, 212, 213, 214, 223, 224, 226, 227, 230, 240, 245, 251, 252, 253, 262, 263, 264, 270, 273, 274, 276, 277, 278, 282, 291, 314, 331, 341, 345, 401, 420, 425, 437, 445, 466, 477, 491, 493, 494, 583, 586, 590, 593, 594, 600, 613, 621, 643, 667, 686, 714, 717, 719, 720, 725, 726, 728, 738, 742, 746, 755, 756, 760, 761, 762, 764, 766, 781, 782, 783, 784, 787, 788, 798, 799, 801, 802, 804, 816, 873, 877, 879, 880, 884, 885, 886, 893, 894, 898, 900, 902, 903, 904, 909, 1031, 1035, 1068, 1069, 1071, 1072, 1117, 1118, 1146, 1154, 1167, 1168, 1187, 1188, 1194, 1203, 1224, 1248, 1249, 1255, 1264, 1275, 1280, 1289, 1305, 1322, 1343, 1387, 1389, 1391, 1424, 1431, 1432, 1445, 1446, 1451, 1453, 1458, 1462, 1469, 1470, 1473, 1474, 1475, 1476, 1477, 1478, 1485, 1486, 1487, 1488, 1490, 1492, 1498, 1578, 1598, 1620, 1637, 1657, 1677, 1699, 1720, 1741, 1758, 1839, 1876, 1894, 1912, 1930, 1947, 1964, 2018, 2054, 2127, 2145, 2166, 2167, 2184, 2185, 2186, 2187, 2188, 2190, 2191, 2192, 2193, 2194, 2195, 2196, 2197, 2198, 2199, 2200, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2208, 2209, 2210, 2211, 2212, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2239, 2240, 2241, 2246, 2249, 2250, 2257, 2260, 2261, 2265, 2271, 2277, 2278, 2283, 2289, 2294, 2297, 2298, 2302, 2307], "your": [0, 4, 5, 6, 8, 10, 11, 13, 16, 17, 18, 19, 21, 22, 34, 35, 44, 136, 141, 188, 189, 195, 203, 207, 209, 210, 212, 240, 250, 254, 259, 291, 314, 425, 643, 667, 712, 717, 764, 765, 770, 781, 784, 787, 808, 816, 883, 890, 973, 1035, 1068, 1069, 1071, 1072, 1389, 1391, 1405, 1473, 1482, 1483, 1488, 1490, 1491, 1598, 1677, 2166, 2168, 2184, 2185, 2186, 2190, 2191, 2192, 2193, 2195, 2197, 2198, 2199, 2202, 2205, 2207, 2210, 2211, 2214, 2215, 2218, 2220, 2222, 2225, 2226, 2228, 2229, 2230, 2232, 2235, 2240, 2241, 2246, 2249, 2261, 2265, 2298, 2302, 2307], "yournam": [1, 5], "yourself": [0, 1, 2, 5, 6, 12, 13, 16, 17, 18, 19, 32, 160, 738, 2185, 2207, 2226, 2235, 2241], "yrot": [137, 713, 1173, 1230], "ytick": [186, 762, 1188, 1249, 2222], "yuanhao": 35, "yum": [5, 112, 116], "yurchak": 2247, "yyi": [2202, 2203], "yyyi": [341, 983, 2199, 2215, 2249, 2261, 2289], "yyyymmdd": 2210, "z": [2, 15, 72, 73, 97, 165, 166, 184, 209, 212, 225, 232, 280, 370, 483, 496, 506, 532, 573, 620, 743, 744, 787, 800, 806, 808, 857, 1375, 1385, 1391, 1423, 1440, 1453, 1474, 1488, 1490, 2185, 2188, 2191, 2197, 2199, 2200, 2207, 2208, 2211, 2219, 2224, 2230, 2241, 2243, 2246, 2249, 2265, 2271, 2283, 2289, 2298, 2302], "z1": [17, 130, 2289], "z2": [130, 2289], "z4": [1396, 1414], "za": [2208, 2230], "zab": [857, 2208], "zach": 2248, "zebra": [3, 136, 165, 166, 225, 232, 248, 712, 743, 744, 800, 806, 845, 881], "zen": 2214, "zero": [16, 17, 19, 66, 75, 76, 125, 146, 223, 266, 356, 357, 359, 360, 575, 584, 585, 587, 588, 701, 720, 798, 836, 837, 838, 839, 840, 841, 842, 843, 844, 874, 1077, 1280, 1389, 1398, 1469, 1470, 1486, 1741, 2185, 2186, 2191, 2193, 2194, 2195, 2197, 2199, 2201, 2202, 2205, 2207, 2211, 2217, 2218, 2220, 2221, 2222, 2225, 2226, 2228, 2229, 2230, 2232, 2235, 2239, 2243, 2246, 2248, 2249, 2265, 2271, 2277, 2283, 2289, 2294, 2295, 2298, 2302, 2304, 2307], "zerodim": 2249, "zerodivisionerror": [2222, 2241, 2246, 2289, 2299], "zeta": 1403, "zf": 341, "zfill": [852, 2208, 2225, 2232, 2294], "zheng": 2248, "zip": [4, 36, 251, 258, 265, 267, 268, 272, 341, 884, 889, 895, 896, 1469, 1476, 1479, 1480, 1485, 1486, 1487, 2166, 2185, 2199, 2204, 2205, 2218, 2231, 2235, 2241, 2242, 2265, 2277, 2278, 2289], "zipfil": [251, 258, 265, 268, 272, 341, 884, 889, 895, 1469, 1476, 1479, 1480, 1485, 1486, 1487, 2199], "zit": 2199, "zlib": [22, 256, 888, 2199, 2226, 2236, 2238], "zone": [9, 19, 277, 278, 330, 331, 532, 685, 686, 903, 904, 953, 956, 972, 1013, 1014, 1016, 1145, 1344, 1483, 1484, 1498, 2184, 2196, 2199, 2217, 2224, 2230, 2241, 2246, 2261, 2277], "zoneinfo": [334, 335, 336, 2210, 2221, 2271, 2294, 2298], "zoneinfonotfounderror": 334, "zoo": [184, 325, 328, 431, 433, 950, 952, 1453], "zsav": 2199, "zscore": 2195, "zst": [251, 258, 265, 268, 272, 884, 889, 895, 1469, 1476, 1479, 1480, 1485, 1486, 1487, 2199], "zstandard": [22, 251, 258, 265, 268, 272, 884, 889, 895, 1469, 1476, 1479, 1480, 1485, 1486, 1487, 2199, 2289, 2294, 2302, 2307], "zstd": [251, 256, 258, 263, 265, 268, 272, 884, 888, 889, 895, 1469, 1476, 1479, 1480, 1485, 1486, 1487, 2199, 2236], "zstdcompressor": [251, 258, 265, 268, 272, 884, 889, 895], "zstddecompressor": [1469, 1476, 1479, 1480, 1485, 1486, 1487, 2199], "zzxy": 2197, "\u00b3": [836, 837, 838, 839, 840, 841, 842, 843, 844], "\u00b5": [2199, 2271], "\u00b5g": [29, 31], "\u00e7": 871, "\u00f1": [851, 871], "\u2155": [836, 837, 838, 839, 840, 841, 842, 843, 844], "\u3057\u306e\u3076": [2202, 2228], "\u540d\u524d": [2202, 2228], "\u56fd\u7c4d": [2202, 2228], "\u65e5\u672c": [2202, 2228]}, "titles": ["Contributor community", "Contributing to pandas", "Contributing to the code base", "pandas docstring guide", "Contributing to the documentation", "Creating a development environment", "Using Gitpod for pandas development", "Copy on write", "Debugging C extensions", "Developer", "Extending pandas", "Development", "Internals", "pandas maintenance", "Policies", "Comparison with R / R libraries", "Comparison with SAS", "Comparison with spreadsheets", "Comparison with SQL", "Comparison with Stata", "Comparison with other tools", "Getting started", "Installation", "What kind of data does pandas handle?", "How do I read and write tabular data?", "How do I select a subset of a DataFrame?", "How do I create plots in pandas?", "How to create new columns derived from existing columns", "How to calculate summary statistics", "How to reshape the layout of tables", "How to combine data from multiple tables", "How to handle time series data with ease", "How to manipulate textual data", "Getting started tutorials", "Package overview", "Community tutorials", "pandas documentation", "pandas.ArrowDtype", "pandas.BooleanDtype", "pandas.Categorical", "pandas.Categorical.__array__", "pandas.Categorical.categories", "pandas.Categorical.codes", "pandas.Categorical.dtype", "pandas.Categorical.from_codes", "pandas.Categorical.ordered", "pandas.CategoricalDtype", "pandas.CategoricalDtype.categories", "pandas.CategoricalDtype.ordered", "pandas.CategoricalIndex", "pandas.CategoricalIndex.add_categories", "pandas.CategoricalIndex.as_ordered", "pandas.CategoricalIndex.as_unordered", "pandas.CategoricalIndex.categories", "pandas.CategoricalIndex.codes", "pandas.CategoricalIndex.equals", "pandas.CategoricalIndex.map", "pandas.CategoricalIndex.ordered", "pandas.CategoricalIndex.remove_categories", "pandas.CategoricalIndex.remove_unused_categories", "pandas.CategoricalIndex.rename_categories", "pandas.CategoricalIndex.reorder_categories", "pandas.CategoricalIndex.set_categories", "pandas.DataFrame", "pandas.DataFrame.T", "pandas.DataFrame.__add__", "pandas.DataFrame.__dataframe__", "pandas.DataFrame.__iter__", "pandas.DataFrame.abs", "pandas.DataFrame.add", "pandas.DataFrame.add_prefix", "pandas.DataFrame.add_suffix", "pandas.DataFrame.agg", "pandas.DataFrame.aggregate", "pandas.DataFrame.align", "pandas.DataFrame.all", "pandas.DataFrame.any", "pandas.DataFrame.apply", "pandas.DataFrame.applymap", "pandas.DataFrame.asfreq", "pandas.DataFrame.asof", "pandas.DataFrame.assign", "pandas.DataFrame.astype", "pandas.DataFrame.at", "pandas.DataFrame.at_time", "pandas.DataFrame.attrs", "pandas.DataFrame.axes", "pandas.DataFrame.backfill", "pandas.DataFrame.between_time", "pandas.DataFrame.bfill", "pandas.DataFrame.bool", "pandas.DataFrame.boxplot", "pandas.DataFrame.clip", "pandas.DataFrame.columns", "pandas.DataFrame.combine", "pandas.DataFrame.combine_first", "pandas.DataFrame.compare", "pandas.DataFrame.convert_dtypes", "pandas.DataFrame.copy", "pandas.DataFrame.corr", "pandas.DataFrame.corrwith", "pandas.DataFrame.count", "pandas.DataFrame.cov", "pandas.DataFrame.cummax", "pandas.DataFrame.cummin", "pandas.DataFrame.cumprod", "pandas.DataFrame.cumsum", "pandas.DataFrame.describe", "pandas.DataFrame.diff", "pandas.DataFrame.div", "pandas.DataFrame.dot", "pandas.DataFrame.drop", "pandas.DataFrame.drop_duplicates", "pandas.DataFrame.droplevel", "pandas.DataFrame.dropna", "pandas.DataFrame.dtypes", "pandas.DataFrame.duplicated", "pandas.DataFrame.empty", "pandas.DataFrame.eq", "pandas.DataFrame.equals", "pandas.DataFrame.eval", "pandas.DataFrame.ewm", "pandas.DataFrame.expanding", "pandas.DataFrame.explode", "pandas.DataFrame.ffill", "pandas.DataFrame.fillna", "pandas.DataFrame.filter", "pandas.DataFrame.first", "pandas.DataFrame.first_valid_index", "pandas.DataFrame.floordiv", "pandas.DataFrame.from_dict", "pandas.DataFrame.from_records", "pandas.DataFrame.ge", "pandas.DataFrame.get", "pandas.DataFrame.groupby", "pandas.DataFrame.gt", "pandas.DataFrame.head", "pandas.DataFrame.hist", "pandas.DataFrame.iat", "pandas.DataFrame.idxmax", "pandas.DataFrame.idxmin", "pandas.DataFrame.iloc", "pandas.DataFrame.index", "pandas.DataFrame.infer_objects", "pandas.DataFrame.info", "pandas.DataFrame.insert", "pandas.DataFrame.interpolate", "pandas.DataFrame.isin", "pandas.DataFrame.isna", "pandas.DataFrame.isnull", "pandas.DataFrame.items", "pandas.DataFrame.iterrows", "pandas.DataFrame.itertuples", "pandas.DataFrame.join", "pandas.DataFrame.keys", "pandas.DataFrame.kurt", "pandas.DataFrame.kurtosis", "pandas.DataFrame.last", "pandas.DataFrame.last_valid_index", "pandas.DataFrame.le", "pandas.DataFrame.loc", "pandas.DataFrame.lt", "pandas.DataFrame.map", "pandas.DataFrame.mask", "pandas.DataFrame.max", "pandas.DataFrame.mean", "pandas.DataFrame.median", "pandas.DataFrame.melt", "pandas.DataFrame.memory_usage", "pandas.DataFrame.merge", "pandas.DataFrame.min", "pandas.DataFrame.mod", "pandas.DataFrame.mode", "pandas.DataFrame.mul", "pandas.DataFrame.ndim", "pandas.DataFrame.ne", "pandas.DataFrame.nlargest", "pandas.DataFrame.notna", "pandas.DataFrame.notnull", "pandas.DataFrame.nsmallest", "pandas.DataFrame.nunique", "pandas.DataFrame.pad", "pandas.DataFrame.pct_change", "pandas.DataFrame.pipe", "pandas.DataFrame.pivot", "pandas.DataFrame.pivot_table", "pandas.DataFrame.plot", "pandas.DataFrame.plot.area", "pandas.DataFrame.plot.bar", "pandas.DataFrame.plot.barh", "pandas.DataFrame.plot.box", "pandas.DataFrame.plot.density", "pandas.DataFrame.plot.hexbin", "pandas.DataFrame.plot.hist", "pandas.DataFrame.plot.kde", "pandas.DataFrame.plot.line", "pandas.DataFrame.plot.pie", "pandas.DataFrame.plot.scatter", "pandas.DataFrame.pop", "pandas.DataFrame.pow", "pandas.DataFrame.prod", "pandas.DataFrame.product", "pandas.DataFrame.quantile", "pandas.DataFrame.query", "pandas.DataFrame.radd", "pandas.DataFrame.rank", "pandas.DataFrame.rdiv", "pandas.DataFrame.reindex", "pandas.DataFrame.reindex_like", "pandas.DataFrame.rename", "pandas.DataFrame.rename_axis", "pandas.DataFrame.reorder_levels", "pandas.DataFrame.replace", "pandas.DataFrame.resample", "pandas.DataFrame.reset_index", "pandas.DataFrame.rfloordiv", "pandas.DataFrame.rmod", "pandas.DataFrame.rmul", "pandas.DataFrame.rolling", "pandas.DataFrame.round", "pandas.DataFrame.rpow", "pandas.DataFrame.rsub", "pandas.DataFrame.rtruediv", "pandas.DataFrame.sample", "pandas.DataFrame.select_dtypes", "pandas.DataFrame.sem", "pandas.DataFrame.set_axis", "pandas.DataFrame.set_flags", "pandas.DataFrame.set_index", "pandas.DataFrame.shape", "pandas.DataFrame.shift", "pandas.DataFrame.size", "pandas.DataFrame.skew", "pandas.DataFrame.sort_index", "pandas.DataFrame.sort_values", "pandas.DataFrame.sparse", "pandas.DataFrame.sparse.density", "pandas.DataFrame.sparse.from_spmatrix", "pandas.DataFrame.sparse.to_coo", "pandas.DataFrame.sparse.to_dense", "pandas.DataFrame.squeeze", "pandas.DataFrame.stack", "pandas.DataFrame.std", "pandas.DataFrame.style", "pandas.DataFrame.sub", "pandas.DataFrame.sum", "pandas.DataFrame.swapaxes", "pandas.DataFrame.swaplevel", "pandas.DataFrame.tail", "pandas.DataFrame.take", "pandas.DataFrame.to_clipboard", "pandas.DataFrame.to_csv", "pandas.DataFrame.to_dict", "pandas.DataFrame.to_excel", "pandas.DataFrame.to_feather", "pandas.DataFrame.to_gbq", "pandas.DataFrame.to_hdf", "pandas.DataFrame.to_html", "pandas.DataFrame.to_json", "pandas.DataFrame.to_latex", "pandas.DataFrame.to_markdown", "pandas.DataFrame.to_numpy", "pandas.DataFrame.to_orc", "pandas.DataFrame.to_parquet", "pandas.DataFrame.to_period", "pandas.DataFrame.to_pickle", "pandas.DataFrame.to_records", "pandas.DataFrame.to_sql", "pandas.DataFrame.to_stata", "pandas.DataFrame.to_string", "pandas.DataFrame.to_timestamp", "pandas.DataFrame.to_xarray", "pandas.DataFrame.to_xml", "pandas.DataFrame.transform", "pandas.DataFrame.transpose", "pandas.DataFrame.truediv", "pandas.DataFrame.truncate", "pandas.DataFrame.tz_convert", "pandas.DataFrame.tz_localize", "pandas.DataFrame.unstack", "pandas.DataFrame.update", "pandas.DataFrame.value_counts", "pandas.DataFrame.values", "pandas.DataFrame.var", "pandas.DataFrame.where", "pandas.DataFrame.xs", "pandas.DatetimeIndex", "pandas.DatetimeIndex.as_unit", "pandas.DatetimeIndex.ceil", "pandas.DatetimeIndex.date", "pandas.DatetimeIndex.day", "pandas.DatetimeIndex.day_name", "pandas.DatetimeIndex.day_of_week", "pandas.DatetimeIndex.day_of_year", "pandas.DatetimeIndex.dayofweek", "pandas.DatetimeIndex.dayofyear", "pandas.DatetimeIndex.floor", "pandas.DatetimeIndex.freq", "pandas.DatetimeIndex.freqstr", "pandas.DatetimeIndex.hour", "pandas.DatetimeIndex.indexer_at_time", "pandas.DatetimeIndex.indexer_between_time", "pandas.DatetimeIndex.inferred_freq", "pandas.DatetimeIndex.is_leap_year", "pandas.DatetimeIndex.is_month_end", "pandas.DatetimeIndex.is_month_start", "pandas.DatetimeIndex.is_quarter_end", "pandas.DatetimeIndex.is_quarter_start", "pandas.DatetimeIndex.is_year_end", "pandas.DatetimeIndex.is_year_start", "pandas.DatetimeIndex.mean", "pandas.DatetimeIndex.microsecond", "pandas.DatetimeIndex.minute", "pandas.DatetimeIndex.month", "pandas.DatetimeIndex.month_name", "pandas.DatetimeIndex.nanosecond", "pandas.DatetimeIndex.normalize", "pandas.DatetimeIndex.quarter", "pandas.DatetimeIndex.round", "pandas.DatetimeIndex.second", "pandas.DatetimeIndex.snap", "pandas.DatetimeIndex.std", "pandas.DatetimeIndex.strftime", "pandas.DatetimeIndex.time", "pandas.DatetimeIndex.timetz", "pandas.DatetimeIndex.to_frame", "pandas.DatetimeIndex.to_period", "pandas.DatetimeIndex.to_pydatetime", "pandas.DatetimeIndex.to_series", "pandas.DatetimeIndex.tz", "pandas.DatetimeIndex.tz_convert", "pandas.DatetimeIndex.tz_localize", "pandas.DatetimeIndex.weekday", "pandas.DatetimeIndex.year", "pandas.DatetimeTZDtype", "pandas.DatetimeTZDtype.tz", "pandas.DatetimeTZDtype.unit", "pandas.ExcelFile", "pandas.ExcelFile.book", "pandas.ExcelFile.parse", "pandas.ExcelFile.sheet_names", "pandas.ExcelWriter", "pandas.Flags", "pandas.Float32Dtype", "pandas.Float64Dtype", "pandas.Grouper", "pandas.HDFStore.append", "pandas.HDFStore.get", "pandas.HDFStore.groups", "pandas.HDFStore.info", "pandas.HDFStore.keys", "pandas.HDFStore.put", "pandas.HDFStore.select", "pandas.HDFStore.walk", "pandas.Index", "pandas.Index.T", "pandas.Index.all", "pandas.Index.any", "pandas.Index.append", "pandas.Index.argmax", "pandas.Index.argmin", "pandas.Index.argsort", "pandas.Index.asof", "pandas.Index.asof_locs", "pandas.Index.astype", "pandas.Index.copy", "pandas.Index.delete", "pandas.Index.difference", "pandas.Index.drop", "pandas.Index.drop_duplicates", "pandas.Index.droplevel", "pandas.Index.dropna", "pandas.Index.dtype", "pandas.Index.duplicated", "pandas.Index.empty", "pandas.Index.equals", "pandas.Index.factorize", "pandas.Index.fillna", "pandas.Index.get_indexer", "pandas.Index.get_indexer_for", "pandas.Index.get_indexer_non_unique", "pandas.Index.get_level_values", "pandas.Index.get_loc", "pandas.Index.get_slice_bound", "pandas.Index.has_duplicates", "pandas.Index.hasnans", "pandas.Index.identical", "pandas.Index.inferred_type", "pandas.Index.insert", "pandas.Index.intersection", "pandas.Index.is_", "pandas.Index.is_boolean", "pandas.Index.is_categorical", "pandas.Index.is_floating", "pandas.Index.is_integer", "pandas.Index.is_interval", "pandas.Index.is_monotonic_decreasing", "pandas.Index.is_monotonic_increasing", "pandas.Index.is_numeric", "pandas.Index.is_object", "pandas.Index.is_unique", "pandas.Index.isin", "pandas.Index.isna", "pandas.Index.item", "pandas.Index.join", "pandas.Index.map", "pandas.Index.max", "pandas.Index.memory_usage", "pandas.Index.min", "pandas.Index.name", "pandas.Index.names", "pandas.Index.nbytes", "pandas.Index.ndim", "pandas.Index.notna", "pandas.Index.nunique", "pandas.Index.putmask", "pandas.Index.ravel", "pandas.Index.reindex", "pandas.Index.rename", "pandas.Index.repeat", "pandas.Index.searchsorted", "pandas.Index.set_names", "pandas.Index.shape", "pandas.Index.shift", "pandas.Index.size", "pandas.Index.slice_indexer", "pandas.Index.slice_locs", "pandas.Index.sort_values", "pandas.Index.str", "pandas.Index.symmetric_difference", "pandas.Index.take", "pandas.Index.to_frame", "pandas.Index.to_list", "pandas.Index.to_series", "pandas.Index.union", "pandas.Index.unique", "pandas.Index.value_counts", "pandas.Index.values", "pandas.Index.view", "pandas.Index.where", "pandas.IndexSlice", "pandas.Int16Dtype", "pandas.Int32Dtype", "pandas.Int64Dtype", "pandas.Int8Dtype", "pandas.Interval", "pandas.Interval.closed", "pandas.Interval.closed_left", "pandas.Interval.closed_right", "pandas.Interval.is_empty", "pandas.Interval.left", "pandas.Interval.length", "pandas.Interval.mid", "pandas.Interval.open_left", "pandas.Interval.open_right", "pandas.Interval.overlaps", "pandas.Interval.right", "pandas.IntervalDtype", "pandas.IntervalDtype.subtype", "pandas.IntervalIndex", "pandas.IntervalIndex.closed", "pandas.IntervalIndex.contains", "pandas.IntervalIndex.from_arrays", "pandas.IntervalIndex.from_breaks", "pandas.IntervalIndex.from_tuples", "pandas.IntervalIndex.get_indexer", "pandas.IntervalIndex.get_loc", "pandas.IntervalIndex.is_empty", "pandas.IntervalIndex.is_non_overlapping_monotonic", "pandas.IntervalIndex.is_overlapping", "pandas.IntervalIndex.left", "pandas.IntervalIndex.length", "pandas.IntervalIndex.mid", "pandas.IntervalIndex.overlaps", "pandas.IntervalIndex.right", "pandas.IntervalIndex.set_closed", "pandas.IntervalIndex.to_tuples", "pandas.IntervalIndex.values", "pandas.MultiIndex", "pandas.MultiIndex.append", "pandas.MultiIndex.codes", "pandas.MultiIndex.copy", "pandas.MultiIndex.drop", "pandas.MultiIndex.droplevel", "pandas.MultiIndex.dtypes", "pandas.MultiIndex.from_arrays", "pandas.MultiIndex.from_frame", "pandas.MultiIndex.from_product", "pandas.MultiIndex.from_tuples", "pandas.MultiIndex.get_indexer", "pandas.MultiIndex.get_level_values", "pandas.MultiIndex.get_loc", "pandas.MultiIndex.get_loc_level", "pandas.MultiIndex.get_locs", "pandas.MultiIndex.levels", "pandas.MultiIndex.levshape", "pandas.MultiIndex.names", "pandas.MultiIndex.nlevels", "pandas.MultiIndex.remove_unused_levels", "pandas.MultiIndex.reorder_levels", "pandas.MultiIndex.set_codes", "pandas.MultiIndex.set_levels", "pandas.MultiIndex.sortlevel", "pandas.MultiIndex.swaplevel", "pandas.MultiIndex.to_flat_index", "pandas.MultiIndex.to_frame", "pandas.MultiIndex.truncate", "pandas.NA", "pandas.NaT", "pandas.NamedAgg", "pandas.Period", "pandas.Period.asfreq", "pandas.Period.day", "pandas.Period.day_of_week", "pandas.Period.day_of_year", "pandas.Period.dayofweek", "pandas.Period.dayofyear", "pandas.Period.days_in_month", "pandas.Period.daysinmonth", "pandas.Period.end_time", "pandas.Period.freq", "pandas.Period.freqstr", "pandas.Period.hour", "pandas.Period.is_leap_year", "pandas.Period.minute", "pandas.Period.month", "pandas.Period.now", "pandas.Period.ordinal", "pandas.Period.quarter", "pandas.Period.qyear", "pandas.Period.second", "pandas.Period.start_time", "pandas.Period.strftime", "pandas.Period.to_timestamp", "pandas.Period.week", "pandas.Period.weekday", "pandas.Period.weekofyear", "pandas.Period.year", "pandas.PeriodDtype", "pandas.PeriodDtype.freq", "pandas.PeriodIndex", "pandas.PeriodIndex.asfreq", "pandas.PeriodIndex.day", "pandas.PeriodIndex.day_of_week", "pandas.PeriodIndex.day_of_year", "pandas.PeriodIndex.dayofweek", "pandas.PeriodIndex.dayofyear", "pandas.PeriodIndex.days_in_month", "pandas.PeriodIndex.daysinmonth", "pandas.PeriodIndex.end_time", "pandas.PeriodIndex.freq", "pandas.PeriodIndex.freqstr", "pandas.PeriodIndex.from_fields", "pandas.PeriodIndex.from_ordinals", "pandas.PeriodIndex.hour", "pandas.PeriodIndex.is_leap_year", "pandas.PeriodIndex.minute", "pandas.PeriodIndex.month", "pandas.PeriodIndex.quarter", "pandas.PeriodIndex.qyear", "pandas.PeriodIndex.second", "pandas.PeriodIndex.start_time", "pandas.PeriodIndex.strftime", "pandas.PeriodIndex.to_timestamp", "pandas.PeriodIndex.week", "pandas.PeriodIndex.weekday", "pandas.PeriodIndex.weekofyear", "pandas.PeriodIndex.year", "pandas.RangeIndex", "pandas.RangeIndex.from_range", "pandas.RangeIndex.start", "pandas.RangeIndex.step", "pandas.RangeIndex.stop", "pandas.Series", "pandas.Series.T", "pandas.Series.__array__", "pandas.Series.__iter__", "pandas.Series.abs", "pandas.Series.add", "pandas.Series.add_prefix", "pandas.Series.add_suffix", "pandas.Series.agg", "pandas.Series.aggregate", "pandas.Series.align", "pandas.Series.all", "pandas.Series.any", "pandas.Series.apply", "pandas.Series.argmax", "pandas.Series.argmin", "pandas.Series.argsort", "pandas.Series.array", "pandas.Series.asfreq", "pandas.Series.asof", "pandas.Series.astype", "pandas.Series.at", "pandas.Series.at_time", "pandas.Series.attrs", "pandas.Series.autocorr", "pandas.Series.backfill", "pandas.Series.between", "pandas.Series.between_time", "pandas.Series.bfill", "pandas.Series.bool", "pandas.Series.case_when", "pandas.Series.cat", "pandas.Series.cat.add_categories", "pandas.Series.cat.as_ordered", "pandas.Series.cat.as_unordered", "pandas.Series.cat.categories", "pandas.Series.cat.codes", "pandas.Series.cat.ordered", "pandas.Series.cat.remove_categories", "pandas.Series.cat.remove_unused_categories", "pandas.Series.cat.rename_categories", "pandas.Series.cat.reorder_categories", "pandas.Series.cat.set_categories", "pandas.Series.clip", "pandas.Series.combine", "pandas.Series.combine_first", "pandas.Series.compare", "pandas.Series.convert_dtypes", "pandas.Series.copy", "pandas.Series.corr", "pandas.Series.count", "pandas.Series.cov", "pandas.Series.cummax", "pandas.Series.cummin", "pandas.Series.cumprod", "pandas.Series.cumsum", "pandas.Series.describe", "pandas.Series.diff", "pandas.Series.div", "pandas.Series.dot", "pandas.Series.drop", "pandas.Series.drop_duplicates", "pandas.Series.droplevel", "pandas.Series.dropna", "pandas.Series.dt", "pandas.Series.dt.as_unit", "pandas.Series.dt.ceil", "pandas.Series.dt.components", "pandas.Series.dt.date", "pandas.Series.dt.day", "pandas.Series.dt.day_name", "pandas.Series.dt.day_of_week", "pandas.Series.dt.day_of_year", "pandas.Series.dt.dayofweek", "pandas.Series.dt.dayofyear", "pandas.Series.dt.days", "pandas.Series.dt.days_in_month", "pandas.Series.dt.daysinmonth", "pandas.Series.dt.end_time", "pandas.Series.dt.floor", "pandas.Series.dt.freq", "pandas.Series.dt.hour", "pandas.Series.dt.is_leap_year", "pandas.Series.dt.is_month_end", "pandas.Series.dt.is_month_start", "pandas.Series.dt.is_quarter_end", "pandas.Series.dt.is_quarter_start", "pandas.Series.dt.is_year_end", "pandas.Series.dt.is_year_start", "pandas.Series.dt.isocalendar", "pandas.Series.dt.microsecond", "pandas.Series.dt.microseconds", "pandas.Series.dt.minute", "pandas.Series.dt.month", "pandas.Series.dt.month_name", "pandas.Series.dt.nanosecond", "pandas.Series.dt.nanoseconds", "pandas.Series.dt.normalize", "pandas.Series.dt.quarter", "pandas.Series.dt.qyear", "pandas.Series.dt.round", "pandas.Series.dt.second", "pandas.Series.dt.seconds", "pandas.Series.dt.start_time", "pandas.Series.dt.strftime", "pandas.Series.dt.time", "pandas.Series.dt.timetz", "pandas.Series.dt.to_period", "pandas.Series.dt.to_pydatetime", "pandas.Series.dt.to_pytimedelta", "pandas.Series.dt.total_seconds", "pandas.Series.dt.tz", "pandas.Series.dt.tz_convert", "pandas.Series.dt.tz_localize", "pandas.Series.dt.unit", "pandas.Series.dt.weekday", "pandas.Series.dt.year", "pandas.Series.dtype", "pandas.Series.dtypes", "pandas.Series.duplicated", "pandas.Series.empty", "pandas.Series.eq", "pandas.Series.equals", "pandas.Series.ewm", "pandas.Series.expanding", "pandas.Series.explode", "pandas.Series.factorize", "pandas.Series.ffill", "pandas.Series.fillna", "pandas.Series.filter", "pandas.Series.first", "pandas.Series.first_valid_index", "pandas.Series.flags", "pandas.Series.floordiv", "pandas.Series.ge", "pandas.Series.get", "pandas.Series.groupby", "pandas.Series.gt", "pandas.Series.hasnans", "pandas.Series.head", "pandas.Series.hist", "pandas.Series.iat", "pandas.Series.idxmax", "pandas.Series.idxmin", "pandas.Series.iloc", "pandas.Series.index", "pandas.Series.infer_objects", "pandas.Series.interpolate", "pandas.Series.is_monotonic_decreasing", "pandas.Series.is_monotonic_increasing", "pandas.Series.is_unique", "pandas.Series.isin", "pandas.Series.isna", "pandas.Series.isnull", "pandas.Series.item", "pandas.Series.items", "pandas.Series.keys", "pandas.Series.kurt", "pandas.Series.kurtosis", "pandas.Series.last", "pandas.Series.last_valid_index", "pandas.Series.le", "pandas.Series.list.__getitem__", "pandas.Series.list.flatten", "pandas.Series.list.len", "pandas.Series.loc", "pandas.Series.lt", "pandas.Series.map", "pandas.Series.mask", "pandas.Series.max", "pandas.Series.mean", "pandas.Series.median", "pandas.Series.memory_usage", "pandas.Series.min", "pandas.Series.mod", "pandas.Series.mode", "pandas.Series.mul", "pandas.Series.name", "pandas.Series.nbytes", "pandas.Series.ndim", "pandas.Series.ne", "pandas.Series.nlargest", "pandas.Series.notna", "pandas.Series.notnull", "pandas.Series.nsmallest", "pandas.Series.nunique", "pandas.Series.pad", "pandas.Series.pct_change", "pandas.Series.pipe", "pandas.Series.plot", "pandas.Series.plot.area", "pandas.Series.plot.bar", "pandas.Series.plot.barh", "pandas.Series.plot.box", "pandas.Series.plot.density", "pandas.Series.plot.hist", "pandas.Series.plot.kde", "pandas.Series.plot.line", "pandas.Series.plot.pie", "pandas.Series.pop", "pandas.Series.pow", "pandas.Series.prod", "pandas.Series.product", "pandas.Series.quantile", "pandas.Series.radd", "pandas.Series.rank", "pandas.Series.ravel", "pandas.Series.rdiv", "pandas.Series.reindex", "pandas.Series.reindex_like", "pandas.Series.rename", "pandas.Series.rename_axis", "pandas.Series.reorder_levels", "pandas.Series.repeat", "pandas.Series.replace", "pandas.Series.resample", "pandas.Series.reset_index", "pandas.Series.rfloordiv", "pandas.Series.rmod", "pandas.Series.rmul", "pandas.Series.rolling", "pandas.Series.round", "pandas.Series.rpow", "pandas.Series.rsub", "pandas.Series.rtruediv", "pandas.Series.sample", "pandas.Series.searchsorted", "pandas.Series.sem", "pandas.Series.set_axis", "pandas.Series.set_flags", "pandas.Series.shape", "pandas.Series.shift", "pandas.Series.size", "pandas.Series.skew", "pandas.Series.sort_index", "pandas.Series.sort_values", "pandas.Series.sparse", "pandas.Series.sparse.density", "pandas.Series.sparse.fill_value", "pandas.Series.sparse.from_coo", "pandas.Series.sparse.npoints", "pandas.Series.sparse.sp_values", "pandas.Series.sparse.to_coo", "pandas.Series.squeeze", "pandas.Series.std", "pandas.Series.str", "pandas.Series.str.capitalize", "pandas.Series.str.casefold", "pandas.Series.str.cat", "pandas.Series.str.center", "pandas.Series.str.contains", "pandas.Series.str.count", "pandas.Series.str.decode", "pandas.Series.str.encode", "pandas.Series.str.endswith", "pandas.Series.str.extract", "pandas.Series.str.extractall", "pandas.Series.str.find", "pandas.Series.str.findall", "pandas.Series.str.fullmatch", "pandas.Series.str.get", "pandas.Series.str.get_dummies", "pandas.Series.str.index", "pandas.Series.str.isalnum", "pandas.Series.str.isalpha", "pandas.Series.str.isdecimal", "pandas.Series.str.isdigit", "pandas.Series.str.islower", "pandas.Series.str.isnumeric", "pandas.Series.str.isspace", "pandas.Series.str.istitle", "pandas.Series.str.isupper", "pandas.Series.str.join", "pandas.Series.str.len", "pandas.Series.str.ljust", "pandas.Series.str.lower", "pandas.Series.str.lstrip", "pandas.Series.str.match", "pandas.Series.str.normalize", "pandas.Series.str.pad", "pandas.Series.str.partition", "pandas.Series.str.removeprefix", "pandas.Series.str.removesuffix", "pandas.Series.str.repeat", "pandas.Series.str.replace", "pandas.Series.str.rfind", "pandas.Series.str.rindex", "pandas.Series.str.rjust", "pandas.Series.str.rpartition", "pandas.Series.str.rsplit", "pandas.Series.str.rstrip", "pandas.Series.str.slice", "pandas.Series.str.slice_replace", "pandas.Series.str.split", "pandas.Series.str.startswith", "pandas.Series.str.strip", "pandas.Series.str.swapcase", "pandas.Series.str.title", "pandas.Series.str.translate", "pandas.Series.str.upper", "pandas.Series.str.wrap", "pandas.Series.str.zfill", "pandas.Series.struct.dtypes", "pandas.Series.struct.explode", "pandas.Series.struct.field", "pandas.Series.sub", "pandas.Series.sum", "pandas.Series.swaplevel", "pandas.Series.tail", "pandas.Series.take", "pandas.Series.to_clipboard", "pandas.Series.to_csv", "pandas.Series.to_dict", "pandas.Series.to_excel", "pandas.Series.to_frame", "pandas.Series.to_hdf", "pandas.Series.to_json", "pandas.Series.to_latex", "pandas.Series.to_list", "pandas.Series.to_markdown", "pandas.Series.to_numpy", "pandas.Series.to_period", "pandas.Series.to_pickle", "pandas.Series.to_sql", "pandas.Series.to_string", "pandas.Series.to_timestamp", "pandas.Series.to_xarray", "pandas.Series.transform", "pandas.Series.truediv", "pandas.Series.truncate", "pandas.Series.tz_convert", "pandas.Series.tz_localize", "pandas.Series.unique", "pandas.Series.unstack", "pandas.Series.update", "pandas.Series.value_counts", "pandas.Series.values", "pandas.Series.var", "pandas.Series.view", "pandas.Series.where", "pandas.Series.xs", "pandas.SparseDtype", "pandas.StringDtype", "pandas.Timedelta", "pandas.Timedelta.as_unit", "pandas.Timedelta.asm8", "pandas.Timedelta.ceil", "pandas.Timedelta.components", "pandas.Timedelta.days", "pandas.Timedelta.floor", "pandas.Timedelta.isoformat", "pandas.Timedelta.max", "pandas.Timedelta.microseconds", "pandas.Timedelta.min", "pandas.Timedelta.nanoseconds", "pandas.Timedelta.resolution", "pandas.Timedelta.round", "pandas.Timedelta.seconds", "pandas.Timedelta.to_numpy", "pandas.Timedelta.to_pytimedelta", "pandas.Timedelta.to_timedelta64", "pandas.Timedelta.total_seconds", "pandas.Timedelta.unit", "pandas.Timedelta.value", "pandas.Timedelta.view", "pandas.TimedeltaIndex", "pandas.TimedeltaIndex.as_unit", "pandas.TimedeltaIndex.ceil", "pandas.TimedeltaIndex.components", "pandas.TimedeltaIndex.days", "pandas.TimedeltaIndex.floor", "pandas.TimedeltaIndex.inferred_freq", "pandas.TimedeltaIndex.mean", "pandas.TimedeltaIndex.microseconds", "pandas.TimedeltaIndex.nanoseconds", "pandas.TimedeltaIndex.round", "pandas.TimedeltaIndex.seconds", "pandas.TimedeltaIndex.to_frame", "pandas.TimedeltaIndex.to_pytimedelta", "pandas.TimedeltaIndex.to_series", "pandas.Timestamp", "pandas.Timestamp.as_unit", "pandas.Timestamp.asm8", "pandas.Timestamp.astimezone", "pandas.Timestamp.ceil", "pandas.Timestamp.combine", "pandas.Timestamp.ctime", "pandas.Timestamp.date", "pandas.Timestamp.day", "pandas.Timestamp.day_name", "pandas.Timestamp.day_of_week", "pandas.Timestamp.day_of_year", "pandas.Timestamp.dayofweek", "pandas.Timestamp.dayofyear", "pandas.Timestamp.days_in_month", "pandas.Timestamp.daysinmonth", "pandas.Timestamp.dst", "pandas.Timestamp.floor", "pandas.Timestamp.fold", "pandas.Timestamp.fromordinal", "pandas.Timestamp.fromtimestamp", "pandas.Timestamp.hour", "pandas.Timestamp.is_leap_year", "pandas.Timestamp.is_month_end", "pandas.Timestamp.is_month_start", "pandas.Timestamp.is_quarter_end", "pandas.Timestamp.is_quarter_start", "pandas.Timestamp.is_year_end", "pandas.Timestamp.is_year_start", "pandas.Timestamp.isocalendar", "pandas.Timestamp.isoformat", "pandas.Timestamp.isoweekday", "pandas.Timestamp.max", "pandas.Timestamp.microsecond", "pandas.Timestamp.min", "pandas.Timestamp.minute", "pandas.Timestamp.month", "pandas.Timestamp.month_name", "pandas.Timestamp.nanosecond", "pandas.Timestamp.normalize", "pandas.Timestamp.now", "pandas.Timestamp.quarter", "pandas.Timestamp.replace", "pandas.Timestamp.resolution", "pandas.Timestamp.round", "pandas.Timestamp.second", "pandas.Timestamp.strftime", "pandas.Timestamp.strptime", "pandas.Timestamp.time", "pandas.Timestamp.timestamp", "pandas.Timestamp.timetuple", "pandas.Timestamp.timetz", "pandas.Timestamp.to_datetime64", "pandas.Timestamp.to_julian_date", "pandas.Timestamp.to_numpy", "pandas.Timestamp.to_period", "pandas.Timestamp.to_pydatetime", "pandas.Timestamp.today", "pandas.Timestamp.toordinal", "pandas.Timestamp.tz", "pandas.Timestamp.tz_convert", "pandas.Timestamp.tz_localize", "pandas.Timestamp.tzinfo", "pandas.Timestamp.tzname", "pandas.Timestamp.unit", "pandas.Timestamp.utcfromtimestamp", "pandas.Timestamp.utcnow", "pandas.Timestamp.utcoffset", "pandas.Timestamp.utctimetuple", "pandas.Timestamp.value", "pandas.Timestamp.week", "pandas.Timestamp.weekday", "pandas.Timestamp.weekofyear", "pandas.Timestamp.year", "pandas.UInt16Dtype", "pandas.UInt32Dtype", "pandas.UInt64Dtype", "pandas.UInt8Dtype", "pandas.api.extensions.ExtensionArray", "pandas.api.extensions.ExtensionArray._accumulate", "pandas.api.extensions.ExtensionArray._concat_same_type", "pandas.api.extensions.ExtensionArray._explode", "pandas.api.extensions.ExtensionArray._formatter", "pandas.api.extensions.ExtensionArray._from_factorized", "pandas.api.extensions.ExtensionArray._from_sequence", "pandas.api.extensions.ExtensionArray._from_sequence_of_strings", "pandas.api.extensions.ExtensionArray._hash_pandas_object", "pandas.api.extensions.ExtensionArray._pad_or_backfill", "pandas.api.extensions.ExtensionArray._reduce", "pandas.api.extensions.ExtensionArray._values_for_argsort", "pandas.api.extensions.ExtensionArray._values_for_factorize", "pandas.api.extensions.ExtensionArray.argsort", "pandas.api.extensions.ExtensionArray.astype", "pandas.api.extensions.ExtensionArray.copy", "pandas.api.extensions.ExtensionArray.dropna", "pandas.api.extensions.ExtensionArray.dtype", "pandas.api.extensions.ExtensionArray.duplicated", "pandas.api.extensions.ExtensionArray.equals", "pandas.api.extensions.ExtensionArray.factorize", "pandas.api.extensions.ExtensionArray.fillna", "pandas.api.extensions.ExtensionArray.insert", "pandas.api.extensions.ExtensionArray.interpolate", "pandas.api.extensions.ExtensionArray.isin", "pandas.api.extensions.ExtensionArray.isna", "pandas.api.extensions.ExtensionArray.nbytes", "pandas.api.extensions.ExtensionArray.ndim", "pandas.api.extensions.ExtensionArray.ravel", "pandas.api.extensions.ExtensionArray.repeat", "pandas.api.extensions.ExtensionArray.searchsorted", "pandas.api.extensions.ExtensionArray.shape", "pandas.api.extensions.ExtensionArray.shift", "pandas.api.extensions.ExtensionArray.take", "pandas.api.extensions.ExtensionArray.tolist", "pandas.api.extensions.ExtensionArray.unique", "pandas.api.extensions.ExtensionArray.view", "pandas.api.extensions.ExtensionDtype", "pandas.api.extensions.register_dataframe_accessor", "pandas.api.extensions.register_extension_dtype", "pandas.api.extensions.register_index_accessor", "pandas.api.extensions.register_series_accessor", "pandas.api.indexers.BaseIndexer", "pandas.api.indexers.FixedForwardWindowIndexer", "pandas.api.indexers.VariableOffsetWindowIndexer", "pandas.api.indexers.check_array_indexer", "pandas.api.interchange.from_dataframe", "pandas.api.types.infer_dtype", "pandas.api.types.is_any_real_numeric_dtype", "pandas.api.types.is_bool", "pandas.api.types.is_bool_dtype", "pandas.api.types.is_categorical_dtype", "pandas.api.types.is_complex", "pandas.api.types.is_complex_dtype", "pandas.api.types.is_datetime64_any_dtype", "pandas.api.types.is_datetime64_dtype", "pandas.api.types.is_datetime64_ns_dtype", "pandas.api.types.is_datetime64tz_dtype", "pandas.api.types.is_dict_like", "pandas.api.types.is_extension_array_dtype", "pandas.api.types.is_file_like", "pandas.api.types.is_float", "pandas.api.types.is_float_dtype", "pandas.api.types.is_hashable", "pandas.api.types.is_int64_dtype", "pandas.api.types.is_integer", "pandas.api.types.is_integer_dtype", "pandas.api.types.is_interval", "pandas.api.types.is_interval_dtype", "pandas.api.types.is_iterator", "pandas.api.types.is_list_like", "pandas.api.types.is_named_tuple", "pandas.api.types.is_number", "pandas.api.types.is_numeric_dtype", "pandas.api.types.is_object_dtype", "pandas.api.types.is_period_dtype", "pandas.api.types.is_re", "pandas.api.types.is_re_compilable", "pandas.api.types.is_scalar", "pandas.api.types.is_signed_integer_dtype", "pandas.api.types.is_sparse", "pandas.api.types.is_string_dtype", "pandas.api.types.is_timedelta64_dtype", "pandas.api.types.is_timedelta64_ns_dtype", "pandas.api.types.is_unsigned_integer_dtype", "pandas.api.types.pandas_dtype", "pandas.api.types.union_categoricals", "pandas.array", "pandas.arrays.ArrowExtensionArray", "pandas.arrays.ArrowStringArray", "pandas.arrays.BooleanArray", "pandas.arrays.DatetimeArray", "pandas.arrays.FloatingArray", "pandas.arrays.IntegerArray", "pandas.arrays.IntervalArray", "pandas.arrays.IntervalArray.closed", "pandas.arrays.IntervalArray.contains", "pandas.arrays.IntervalArray.from_arrays", "pandas.arrays.IntervalArray.from_breaks", "pandas.arrays.IntervalArray.from_tuples", "pandas.arrays.IntervalArray.is_empty", "pandas.arrays.IntervalArray.is_non_overlapping_monotonic", "pandas.arrays.IntervalArray.left", "pandas.arrays.IntervalArray.length", "pandas.arrays.IntervalArray.mid", "pandas.arrays.IntervalArray.overlaps", "pandas.arrays.IntervalArray.right", "pandas.arrays.IntervalArray.set_closed", "pandas.arrays.IntervalArray.to_tuples", "pandas.arrays.NumpyExtensionArray", "pandas.arrays.PeriodArray", "pandas.arrays.SparseArray", "pandas.arrays.StringArray", "pandas.arrays.TimedeltaArray", "pandas.bdate_range", "pandas.concat", "pandas.core.groupby.DataFrameGroupBy.__iter__", "pandas.core.groupby.DataFrameGroupBy.agg", "pandas.core.groupby.DataFrameGroupBy.aggregate", "pandas.core.groupby.DataFrameGroupBy.all", "pandas.core.groupby.DataFrameGroupBy.any", "pandas.core.groupby.DataFrameGroupBy.apply", "pandas.core.groupby.DataFrameGroupBy.bfill", "pandas.core.groupby.DataFrameGroupBy.boxplot", "pandas.core.groupby.DataFrameGroupBy.corr", "pandas.core.groupby.DataFrameGroupBy.corrwith", "pandas.core.groupby.DataFrameGroupBy.count", "pandas.core.groupby.DataFrameGroupBy.cov", "pandas.core.groupby.DataFrameGroupBy.cumcount", "pandas.core.groupby.DataFrameGroupBy.cummax", "pandas.core.groupby.DataFrameGroupBy.cummin", "pandas.core.groupby.DataFrameGroupBy.cumprod", "pandas.core.groupby.DataFrameGroupBy.cumsum", "pandas.core.groupby.DataFrameGroupBy.describe", "pandas.core.groupby.DataFrameGroupBy.diff", "pandas.core.groupby.DataFrameGroupBy.ffill", "pandas.core.groupby.DataFrameGroupBy.fillna", "pandas.core.groupby.DataFrameGroupBy.filter", "pandas.core.groupby.DataFrameGroupBy.first", "pandas.core.groupby.DataFrameGroupBy.get_group", "pandas.core.groupby.DataFrameGroupBy.groups", "pandas.core.groupby.DataFrameGroupBy.head", "pandas.core.groupby.DataFrameGroupBy.hist", "pandas.core.groupby.DataFrameGroupBy.idxmax", "pandas.core.groupby.DataFrameGroupBy.idxmin", "pandas.core.groupby.DataFrameGroupBy.indices", "pandas.core.groupby.DataFrameGroupBy.last", "pandas.core.groupby.DataFrameGroupBy.max", "pandas.core.groupby.DataFrameGroupBy.mean", "pandas.core.groupby.DataFrameGroupBy.median", "pandas.core.groupby.DataFrameGroupBy.min", "pandas.core.groupby.DataFrameGroupBy.ngroup", "pandas.core.groupby.DataFrameGroupBy.nth", "pandas.core.groupby.DataFrameGroupBy.nunique", "pandas.core.groupby.DataFrameGroupBy.ohlc", "pandas.core.groupby.DataFrameGroupBy.pct_change", "pandas.core.groupby.DataFrameGroupBy.pipe", "pandas.core.groupby.DataFrameGroupBy.plot", "pandas.core.groupby.DataFrameGroupBy.prod", "pandas.core.groupby.DataFrameGroupBy.quantile", "pandas.core.groupby.DataFrameGroupBy.rank", "pandas.core.groupby.DataFrameGroupBy.resample", "pandas.core.groupby.DataFrameGroupBy.rolling", "pandas.core.groupby.DataFrameGroupBy.sample", "pandas.core.groupby.DataFrameGroupBy.sem", "pandas.core.groupby.DataFrameGroupBy.shift", "pandas.core.groupby.DataFrameGroupBy.size", "pandas.core.groupby.DataFrameGroupBy.skew", "pandas.core.groupby.DataFrameGroupBy.std", "pandas.core.groupby.DataFrameGroupBy.sum", "pandas.core.groupby.DataFrameGroupBy.tail", "pandas.core.groupby.DataFrameGroupBy.take", "pandas.core.groupby.DataFrameGroupBy.transform", "pandas.core.groupby.DataFrameGroupBy.value_counts", "pandas.core.groupby.DataFrameGroupBy.var", "pandas.core.groupby.SeriesGroupBy.__iter__", "pandas.core.groupby.SeriesGroupBy.agg", "pandas.core.groupby.SeriesGroupBy.aggregate", "pandas.core.groupby.SeriesGroupBy.all", "pandas.core.groupby.SeriesGroupBy.any", "pandas.core.groupby.SeriesGroupBy.apply", "pandas.core.groupby.SeriesGroupBy.bfill", "pandas.core.groupby.SeriesGroupBy.corr", "pandas.core.groupby.SeriesGroupBy.count", "pandas.core.groupby.SeriesGroupBy.cov", "pandas.core.groupby.SeriesGroupBy.cumcount", "pandas.core.groupby.SeriesGroupBy.cummax", "pandas.core.groupby.SeriesGroupBy.cummin", "pandas.core.groupby.SeriesGroupBy.cumprod", "pandas.core.groupby.SeriesGroupBy.cumsum", "pandas.core.groupby.SeriesGroupBy.describe", "pandas.core.groupby.SeriesGroupBy.diff", "pandas.core.groupby.SeriesGroupBy.ffill", "pandas.core.groupby.SeriesGroupBy.fillna", "pandas.core.groupby.SeriesGroupBy.filter", "pandas.core.groupby.SeriesGroupBy.first", "pandas.core.groupby.SeriesGroupBy.get_group", "pandas.core.groupby.SeriesGroupBy.groups", "pandas.core.groupby.SeriesGroupBy.head", "pandas.core.groupby.SeriesGroupBy.hist", "pandas.core.groupby.SeriesGroupBy.idxmax", "pandas.core.groupby.SeriesGroupBy.idxmin", "pandas.core.groupby.SeriesGroupBy.indices", "pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing", "pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing", "pandas.core.groupby.SeriesGroupBy.last", "pandas.core.groupby.SeriesGroupBy.max", "pandas.core.groupby.SeriesGroupBy.mean", "pandas.core.groupby.SeriesGroupBy.median", "pandas.core.groupby.SeriesGroupBy.min", "pandas.core.groupby.SeriesGroupBy.ngroup", "pandas.core.groupby.SeriesGroupBy.nlargest", "pandas.core.groupby.SeriesGroupBy.nsmallest", "pandas.core.groupby.SeriesGroupBy.nth", "pandas.core.groupby.SeriesGroupBy.nunique", "pandas.core.groupby.SeriesGroupBy.ohlc", "pandas.core.groupby.SeriesGroupBy.pct_change", "pandas.core.groupby.SeriesGroupBy.pipe", "pandas.core.groupby.SeriesGroupBy.plot", "pandas.core.groupby.SeriesGroupBy.prod", "pandas.core.groupby.SeriesGroupBy.quantile", "pandas.core.groupby.SeriesGroupBy.rank", "pandas.core.groupby.SeriesGroupBy.resample", "pandas.core.groupby.SeriesGroupBy.rolling", "pandas.core.groupby.SeriesGroupBy.sample", "pandas.core.groupby.SeriesGroupBy.sem", "pandas.core.groupby.SeriesGroupBy.shift", "pandas.core.groupby.SeriesGroupBy.size", "pandas.core.groupby.SeriesGroupBy.skew", "pandas.core.groupby.SeriesGroupBy.std", "pandas.core.groupby.SeriesGroupBy.sum", "pandas.core.groupby.SeriesGroupBy.tail", "pandas.core.groupby.SeriesGroupBy.take", "pandas.core.groupby.SeriesGroupBy.transform", "pandas.core.groupby.SeriesGroupBy.unique", "pandas.core.groupby.SeriesGroupBy.value_counts", "pandas.core.groupby.SeriesGroupBy.var", "pandas.core.resample.Resampler.__iter__", "pandas.core.resample.Resampler.aggregate", "pandas.core.resample.Resampler.apply", "pandas.core.resample.Resampler.asfreq", "pandas.core.resample.Resampler.bfill", "pandas.core.resample.Resampler.count", "pandas.core.resample.Resampler.ffill", "pandas.core.resample.Resampler.fillna", "pandas.core.resample.Resampler.first", "pandas.core.resample.Resampler.get_group", "pandas.core.resample.Resampler.groups", "pandas.core.resample.Resampler.indices", "pandas.core.resample.Resampler.interpolate", "pandas.core.resample.Resampler.last", "pandas.core.resample.Resampler.max", "pandas.core.resample.Resampler.mean", "pandas.core.resample.Resampler.median", "pandas.core.resample.Resampler.min", "pandas.core.resample.Resampler.nearest", "pandas.core.resample.Resampler.nunique", "pandas.core.resample.Resampler.ohlc", "pandas.core.resample.Resampler.pipe", "pandas.core.resample.Resampler.prod", "pandas.core.resample.Resampler.quantile", "pandas.core.resample.Resampler.sem", "pandas.core.resample.Resampler.size", "pandas.core.resample.Resampler.std", "pandas.core.resample.Resampler.sum", "pandas.core.resample.Resampler.transform", "pandas.core.resample.Resampler.var", "pandas.core.window.ewm.ExponentialMovingWindow.corr", "pandas.core.window.ewm.ExponentialMovingWindow.cov", "pandas.core.window.ewm.ExponentialMovingWindow.mean", "pandas.core.window.ewm.ExponentialMovingWindow.std", "pandas.core.window.ewm.ExponentialMovingWindow.sum", "pandas.core.window.ewm.ExponentialMovingWindow.var", "pandas.core.window.expanding.Expanding.aggregate", "pandas.core.window.expanding.Expanding.apply", "pandas.core.window.expanding.Expanding.corr", "pandas.core.window.expanding.Expanding.count", "pandas.core.window.expanding.Expanding.cov", "pandas.core.window.expanding.Expanding.kurt", "pandas.core.window.expanding.Expanding.max", "pandas.core.window.expanding.Expanding.mean", "pandas.core.window.expanding.Expanding.median", "pandas.core.window.expanding.Expanding.min", "pandas.core.window.expanding.Expanding.quantile", "pandas.core.window.expanding.Expanding.rank", "pandas.core.window.expanding.Expanding.sem", "pandas.core.window.expanding.Expanding.skew", "pandas.core.window.expanding.Expanding.std", "pandas.core.window.expanding.Expanding.sum", "pandas.core.window.expanding.Expanding.var", "pandas.core.window.rolling.Rolling.aggregate", "pandas.core.window.rolling.Rolling.apply", "pandas.core.window.rolling.Rolling.corr", "pandas.core.window.rolling.Rolling.count", "pandas.core.window.rolling.Rolling.cov", "pandas.core.window.rolling.Rolling.kurt", "pandas.core.window.rolling.Rolling.max", "pandas.core.window.rolling.Rolling.mean", "pandas.core.window.rolling.Rolling.median", "pandas.core.window.rolling.Rolling.min", "pandas.core.window.rolling.Rolling.quantile", "pandas.core.window.rolling.Rolling.rank", "pandas.core.window.rolling.Rolling.sem", "pandas.core.window.rolling.Rolling.skew", "pandas.core.window.rolling.Rolling.std", "pandas.core.window.rolling.Rolling.sum", "pandas.core.window.rolling.Rolling.var", "pandas.core.window.rolling.Window.mean", "pandas.core.window.rolling.Window.std", "pandas.core.window.rolling.Window.sum", "pandas.core.window.rolling.Window.var", "pandas.crosstab", "pandas.cut", "pandas.date_range", "pandas.describe_option", "pandas.errors.AbstractMethodError", "pandas.errors.AttributeConflictWarning", "pandas.errors.CSSWarning", "pandas.errors.CategoricalConversionWarning", "pandas.errors.ChainedAssignmentError", "pandas.errors.ClosedFileError", "pandas.errors.DataError", "pandas.errors.DatabaseError", "pandas.errors.DtypeWarning", "pandas.errors.DuplicateLabelError", "pandas.errors.EmptyDataError", "pandas.errors.IncompatibilityWarning", "pandas.errors.IndexingError", "pandas.errors.IntCastingNaNError", "pandas.errors.InvalidColumnName", "pandas.errors.InvalidComparison", "pandas.errors.InvalidIndexError", "pandas.errors.InvalidVersion", "pandas.errors.LossySetitemError", "pandas.errors.MergeError", "pandas.errors.NoBufferPresent", "pandas.errors.NullFrequencyError", "pandas.errors.NumExprClobberingError", "pandas.errors.NumbaUtilError", "pandas.errors.OptionError", "pandas.errors.OutOfBoundsDatetime", "pandas.errors.OutOfBoundsTimedelta", "pandas.errors.ParserError", "pandas.errors.ParserWarning", "pandas.errors.PerformanceWarning", "pandas.errors.PossibleDataLossError", "pandas.errors.PossiblePrecisionLoss", "pandas.errors.PyperclipException", "pandas.errors.PyperclipWindowsException", "pandas.errors.SettingWithCopyError", "pandas.errors.SettingWithCopyWarning", "pandas.errors.SpecificationError", "pandas.errors.UndefinedVariableError", "pandas.errors.UnsortedIndexError", "pandas.errors.UnsupportedFunctionCall", "pandas.errors.ValueLabelTypeMismatch", "pandas.eval", "pandas.factorize", "pandas.from_dummies", "pandas.get_dummies", "pandas.get_option", "pandas.infer_freq", "pandas.interval_range", "pandas.io.formats.style.Styler", "pandas.io.formats.style.Styler.apply", "pandas.io.formats.style.Styler.apply_index", "pandas.io.formats.style.Styler.background_gradient", "pandas.io.formats.style.Styler.bar", "pandas.io.formats.style.Styler.clear", "pandas.io.formats.style.Styler.concat", "pandas.io.formats.style.Styler.env", "pandas.io.formats.style.Styler.export", "pandas.io.formats.style.Styler.format", "pandas.io.formats.style.Styler.format_index", "pandas.io.formats.style.Styler.from_custom_template", "pandas.io.formats.style.Styler.hide", "pandas.io.formats.style.Styler.highlight_between", "pandas.io.formats.style.Styler.highlight_max", "pandas.io.formats.style.Styler.highlight_min", "pandas.io.formats.style.Styler.highlight_null", "pandas.io.formats.style.Styler.highlight_quantile", "pandas.io.formats.style.Styler.loader", "pandas.io.formats.style.Styler.map", "pandas.io.formats.style.Styler.map_index", "pandas.io.formats.style.Styler.pipe", "pandas.io.formats.style.Styler.relabel_index", "pandas.io.formats.style.Styler.set_caption", "pandas.io.formats.style.Styler.set_properties", "pandas.io.formats.style.Styler.set_sticky", "pandas.io.formats.style.Styler.set_table_attributes", "pandas.io.formats.style.Styler.set_table_styles", "pandas.io.formats.style.Styler.set_td_classes", "pandas.io.formats.style.Styler.set_tooltips", "pandas.io.formats.style.Styler.set_uuid", "pandas.io.formats.style.Styler.template_html", "pandas.io.formats.style.Styler.template_html_style", "pandas.io.formats.style.Styler.template_html_table", "pandas.io.formats.style.Styler.template_latex", "pandas.io.formats.style.Styler.template_string", "pandas.io.formats.style.Styler.text_gradient", "pandas.io.formats.style.Styler.to_excel", "pandas.io.formats.style.Styler.to_html", "pandas.io.formats.style.Styler.to_latex", "pandas.io.formats.style.Styler.to_string", "pandas.io.formats.style.Styler.use", "pandas.io.json.build_table_schema", "pandas.io.stata.StataReader.data_label", "pandas.io.stata.StataReader.value_labels", "pandas.io.stata.StataReader.variable_labels", "pandas.io.stata.StataWriter.write_file", "pandas.isna", "pandas.isnull", "pandas.json_normalize", "pandas.lreshape", "pandas.melt", "pandas.merge", "pandas.merge_asof", "pandas.merge_ordered", "pandas.notna", "pandas.notnull", "pandas.option_context", "pandas.period_range", "pandas.pivot", "pandas.pivot_table", "pandas.plotting.andrews_curves", "pandas.plotting.autocorrelation_plot", "pandas.plotting.bootstrap_plot", "pandas.plotting.boxplot", "pandas.plotting.deregister_matplotlib_converters", "pandas.plotting.lag_plot", "pandas.plotting.parallel_coordinates", "pandas.plotting.plot_params", "pandas.plotting.radviz", "pandas.plotting.register_matplotlib_converters", "pandas.plotting.scatter_matrix", "pandas.plotting.table", "pandas.qcut", "pandas.read_clipboard", "pandas.read_csv", "pandas.read_excel", "pandas.read_feather", "pandas.read_fwf", "pandas.read_gbq", "pandas.read_hdf", "pandas.read_html", "pandas.read_json", "pandas.read_orc", "pandas.read_parquet", "pandas.read_pickle", "pandas.read_sas", "pandas.read_spss", "pandas.read_sql", "pandas.read_sql_query", "pandas.read_sql_table", "pandas.read_stata", "pandas.read_table", "pandas.read_xml", "pandas.reset_option", "pandas.set_eng_float_format", "pandas.set_option", "pandas.show_versions", "pandas.test", "pandas.testing.assert_extension_array_equal", "pandas.testing.assert_frame_equal", "pandas.testing.assert_index_equal", "pandas.testing.assert_series_equal", "pandas.timedelta_range", "pandas.to_datetime", "pandas.to_numeric", "pandas.to_timedelta", "pandas.tseries.api.guess_datetime_format", "pandas.tseries.frequencies.to_offset", "pandas.tseries.offsets.BDay", "pandas.tseries.offsets.BMonthBegin", "pandas.tseries.offsets.BMonthEnd", "pandas.tseries.offsets.BQuarterBegin", "pandas.tseries.offsets.BQuarterBegin.copy", "pandas.tseries.offsets.BQuarterBegin.freqstr", "pandas.tseries.offsets.BQuarterBegin.is_anchored", "pandas.tseries.offsets.BQuarterBegin.is_month_end", "pandas.tseries.offsets.BQuarterBegin.is_month_start", "pandas.tseries.offsets.BQuarterBegin.is_on_offset", "pandas.tseries.offsets.BQuarterBegin.is_quarter_end", "pandas.tseries.offsets.BQuarterBegin.is_quarter_start", "pandas.tseries.offsets.BQuarterBegin.is_year_end", "pandas.tseries.offsets.BQuarterBegin.is_year_start", "pandas.tseries.offsets.BQuarterBegin.kwds", "pandas.tseries.offsets.BQuarterBegin.n", "pandas.tseries.offsets.BQuarterBegin.name", "pandas.tseries.offsets.BQuarterBegin.nanos", "pandas.tseries.offsets.BQuarterBegin.normalize", "pandas.tseries.offsets.BQuarterBegin.rule_code", "pandas.tseries.offsets.BQuarterBegin.startingMonth", "pandas.tseries.offsets.BQuarterEnd", "pandas.tseries.offsets.BQuarterEnd.copy", "pandas.tseries.offsets.BQuarterEnd.freqstr", "pandas.tseries.offsets.BQuarterEnd.is_anchored", "pandas.tseries.offsets.BQuarterEnd.is_month_end", "pandas.tseries.offsets.BQuarterEnd.is_month_start", "pandas.tseries.offsets.BQuarterEnd.is_on_offset", "pandas.tseries.offsets.BQuarterEnd.is_quarter_end", "pandas.tseries.offsets.BQuarterEnd.is_quarter_start", "pandas.tseries.offsets.BQuarterEnd.is_year_end", "pandas.tseries.offsets.BQuarterEnd.is_year_start", "pandas.tseries.offsets.BQuarterEnd.kwds", "pandas.tseries.offsets.BQuarterEnd.n", "pandas.tseries.offsets.BQuarterEnd.name", "pandas.tseries.offsets.BQuarterEnd.nanos", "pandas.tseries.offsets.BQuarterEnd.normalize", "pandas.tseries.offsets.BQuarterEnd.rule_code", "pandas.tseries.offsets.BQuarterEnd.startingMonth", "pandas.tseries.offsets.BYearBegin", "pandas.tseries.offsets.BYearBegin.copy", "pandas.tseries.offsets.BYearBegin.freqstr", "pandas.tseries.offsets.BYearBegin.is_anchored", "pandas.tseries.offsets.BYearBegin.is_month_end", "pandas.tseries.offsets.BYearBegin.is_month_start", "pandas.tseries.offsets.BYearBegin.is_on_offset", "pandas.tseries.offsets.BYearBegin.is_quarter_end", "pandas.tseries.offsets.BYearBegin.is_quarter_start", "pandas.tseries.offsets.BYearBegin.is_year_end", "pandas.tseries.offsets.BYearBegin.is_year_start", "pandas.tseries.offsets.BYearBegin.kwds", "pandas.tseries.offsets.BYearBegin.month", "pandas.tseries.offsets.BYearBegin.n", "pandas.tseries.offsets.BYearBegin.name", "pandas.tseries.offsets.BYearBegin.nanos", "pandas.tseries.offsets.BYearBegin.normalize", "pandas.tseries.offsets.BYearBegin.rule_code", "pandas.tseries.offsets.BYearEnd", "pandas.tseries.offsets.BYearEnd.copy", "pandas.tseries.offsets.BYearEnd.freqstr", "pandas.tseries.offsets.BYearEnd.is_anchored", "pandas.tseries.offsets.BYearEnd.is_month_end", "pandas.tseries.offsets.BYearEnd.is_month_start", "pandas.tseries.offsets.BYearEnd.is_on_offset", "pandas.tseries.offsets.BYearEnd.is_quarter_end", "pandas.tseries.offsets.BYearEnd.is_quarter_start", "pandas.tseries.offsets.BYearEnd.is_year_end", "pandas.tseries.offsets.BYearEnd.is_year_start", "pandas.tseries.offsets.BYearEnd.kwds", "pandas.tseries.offsets.BYearEnd.month", "pandas.tseries.offsets.BYearEnd.n", "pandas.tseries.offsets.BYearEnd.name", "pandas.tseries.offsets.BYearEnd.nanos", "pandas.tseries.offsets.BYearEnd.normalize", "pandas.tseries.offsets.BYearEnd.rule_code", "pandas.tseries.offsets.BusinessDay", "pandas.tseries.offsets.BusinessDay.calendar", "pandas.tseries.offsets.BusinessDay.copy", "pandas.tseries.offsets.BusinessDay.freqstr", "pandas.tseries.offsets.BusinessDay.holidays", "pandas.tseries.offsets.BusinessDay.is_anchored", "pandas.tseries.offsets.BusinessDay.is_month_end", "pandas.tseries.offsets.BusinessDay.is_month_start", "pandas.tseries.offsets.BusinessDay.is_on_offset", "pandas.tseries.offsets.BusinessDay.is_quarter_end", "pandas.tseries.offsets.BusinessDay.is_quarter_start", "pandas.tseries.offsets.BusinessDay.is_year_end", "pandas.tseries.offsets.BusinessDay.is_year_start", "pandas.tseries.offsets.BusinessDay.kwds", "pandas.tseries.offsets.BusinessDay.n", "pandas.tseries.offsets.BusinessDay.name", "pandas.tseries.offsets.BusinessDay.nanos", "pandas.tseries.offsets.BusinessDay.normalize", "pandas.tseries.offsets.BusinessDay.rule_code", "pandas.tseries.offsets.BusinessDay.weekmask", "pandas.tseries.offsets.BusinessHour", "pandas.tseries.offsets.BusinessHour.calendar", "pandas.tseries.offsets.BusinessHour.copy", "pandas.tseries.offsets.BusinessHour.end", "pandas.tseries.offsets.BusinessHour.freqstr", "pandas.tseries.offsets.BusinessHour.holidays", "pandas.tseries.offsets.BusinessHour.is_anchored", "pandas.tseries.offsets.BusinessHour.is_month_end", "pandas.tseries.offsets.BusinessHour.is_month_start", "pandas.tseries.offsets.BusinessHour.is_on_offset", "pandas.tseries.offsets.BusinessHour.is_quarter_end", "pandas.tseries.offsets.BusinessHour.is_quarter_start", "pandas.tseries.offsets.BusinessHour.is_year_end", "pandas.tseries.offsets.BusinessHour.is_year_start", "pandas.tseries.offsets.BusinessHour.kwds", "pandas.tseries.offsets.BusinessHour.n", "pandas.tseries.offsets.BusinessHour.name", "pandas.tseries.offsets.BusinessHour.nanos", "pandas.tseries.offsets.BusinessHour.normalize", "pandas.tseries.offsets.BusinessHour.rule_code", "pandas.tseries.offsets.BusinessHour.start", "pandas.tseries.offsets.BusinessHour.weekmask", "pandas.tseries.offsets.BusinessMonthBegin", "pandas.tseries.offsets.BusinessMonthBegin.copy", "pandas.tseries.offsets.BusinessMonthBegin.freqstr", "pandas.tseries.offsets.BusinessMonthBegin.is_anchored", "pandas.tseries.offsets.BusinessMonthBegin.is_month_end", "pandas.tseries.offsets.BusinessMonthBegin.is_month_start", "pandas.tseries.offsets.BusinessMonthBegin.is_on_offset", "pandas.tseries.offsets.BusinessMonthBegin.is_quarter_end", "pandas.tseries.offsets.BusinessMonthBegin.is_quarter_start", "pandas.tseries.offsets.BusinessMonthBegin.is_year_end", "pandas.tseries.offsets.BusinessMonthBegin.is_year_start", "pandas.tseries.offsets.BusinessMonthBegin.kwds", "pandas.tseries.offsets.BusinessMonthBegin.n", "pandas.tseries.offsets.BusinessMonthBegin.name", "pandas.tseries.offsets.BusinessMonthBegin.nanos", "pandas.tseries.offsets.BusinessMonthBegin.normalize", "pandas.tseries.offsets.BusinessMonthBegin.rule_code", "pandas.tseries.offsets.BusinessMonthEnd", "pandas.tseries.offsets.BusinessMonthEnd.copy", "pandas.tseries.offsets.BusinessMonthEnd.freqstr", "pandas.tseries.offsets.BusinessMonthEnd.is_anchored", "pandas.tseries.offsets.BusinessMonthEnd.is_month_end", "pandas.tseries.offsets.BusinessMonthEnd.is_month_start", "pandas.tseries.offsets.BusinessMonthEnd.is_on_offset", "pandas.tseries.offsets.BusinessMonthEnd.is_quarter_end", "pandas.tseries.offsets.BusinessMonthEnd.is_quarter_start", "pandas.tseries.offsets.BusinessMonthEnd.is_year_end", "pandas.tseries.offsets.BusinessMonthEnd.is_year_start", "pandas.tseries.offsets.BusinessMonthEnd.kwds", "pandas.tseries.offsets.BusinessMonthEnd.n", "pandas.tseries.offsets.BusinessMonthEnd.name", "pandas.tseries.offsets.BusinessMonthEnd.nanos", "pandas.tseries.offsets.BusinessMonthEnd.normalize", "pandas.tseries.offsets.BusinessMonthEnd.rule_code", "pandas.tseries.offsets.CBMonthBegin", "pandas.tseries.offsets.CBMonthEnd", "pandas.tseries.offsets.CDay", "pandas.tseries.offsets.CustomBusinessDay", "pandas.tseries.offsets.CustomBusinessDay.calendar", "pandas.tseries.offsets.CustomBusinessDay.copy", "pandas.tseries.offsets.CustomBusinessDay.freqstr", "pandas.tseries.offsets.CustomBusinessDay.holidays", "pandas.tseries.offsets.CustomBusinessDay.is_anchored", "pandas.tseries.offsets.CustomBusinessDay.is_month_end", "pandas.tseries.offsets.CustomBusinessDay.is_month_start", "pandas.tseries.offsets.CustomBusinessDay.is_on_offset", "pandas.tseries.offsets.CustomBusinessDay.is_quarter_end", "pandas.tseries.offsets.CustomBusinessDay.is_quarter_start", "pandas.tseries.offsets.CustomBusinessDay.is_year_end", "pandas.tseries.offsets.CustomBusinessDay.is_year_start", "pandas.tseries.offsets.CustomBusinessDay.kwds", "pandas.tseries.offsets.CustomBusinessDay.n", "pandas.tseries.offsets.CustomBusinessDay.name", "pandas.tseries.offsets.CustomBusinessDay.nanos", "pandas.tseries.offsets.CustomBusinessDay.normalize", "pandas.tseries.offsets.CustomBusinessDay.rule_code", "pandas.tseries.offsets.CustomBusinessDay.weekmask", "pandas.tseries.offsets.CustomBusinessHour", "pandas.tseries.offsets.CustomBusinessHour.calendar", "pandas.tseries.offsets.CustomBusinessHour.copy", "pandas.tseries.offsets.CustomBusinessHour.end", "pandas.tseries.offsets.CustomBusinessHour.freqstr", "pandas.tseries.offsets.CustomBusinessHour.holidays", "pandas.tseries.offsets.CustomBusinessHour.is_anchored", "pandas.tseries.offsets.CustomBusinessHour.is_month_end", "pandas.tseries.offsets.CustomBusinessHour.is_month_start", "pandas.tseries.offsets.CustomBusinessHour.is_on_offset", "pandas.tseries.offsets.CustomBusinessHour.is_quarter_end", "pandas.tseries.offsets.CustomBusinessHour.is_quarter_start", "pandas.tseries.offsets.CustomBusinessHour.is_year_end", "pandas.tseries.offsets.CustomBusinessHour.is_year_start", "pandas.tseries.offsets.CustomBusinessHour.kwds", "pandas.tseries.offsets.CustomBusinessHour.n", "pandas.tseries.offsets.CustomBusinessHour.name", "pandas.tseries.offsets.CustomBusinessHour.nanos", "pandas.tseries.offsets.CustomBusinessHour.normalize", "pandas.tseries.offsets.CustomBusinessHour.rule_code", "pandas.tseries.offsets.CustomBusinessHour.start", "pandas.tseries.offsets.CustomBusinessHour.weekmask", "pandas.tseries.offsets.CustomBusinessMonthBegin", "pandas.tseries.offsets.CustomBusinessMonthBegin.calendar", "pandas.tseries.offsets.CustomBusinessMonthBegin.copy", "pandas.tseries.offsets.CustomBusinessMonthBegin.freqstr", "pandas.tseries.offsets.CustomBusinessMonthBegin.holidays", "pandas.tseries.offsets.CustomBusinessMonthBegin.is_anchored", "pandas.tseries.offsets.CustomBusinessMonthBegin.is_month_end", "pandas.tseries.offsets.CustomBusinessMonthBegin.is_month_start", "pandas.tseries.offsets.CustomBusinessMonthBegin.is_on_offset", "pandas.tseries.offsets.CustomBusinessMonthBegin.is_quarter_end", "pandas.tseries.offsets.CustomBusinessMonthBegin.is_quarter_start", "pandas.tseries.offsets.CustomBusinessMonthBegin.is_year_end", "pandas.tseries.offsets.CustomBusinessMonthBegin.is_year_start", "pandas.tseries.offsets.CustomBusinessMonthBegin.kwds", "pandas.tseries.offsets.CustomBusinessMonthBegin.m_offset", "pandas.tseries.offsets.CustomBusinessMonthBegin.n", "pandas.tseries.offsets.CustomBusinessMonthBegin.name", "pandas.tseries.offsets.CustomBusinessMonthBegin.nanos", "pandas.tseries.offsets.CustomBusinessMonthBegin.normalize", "pandas.tseries.offsets.CustomBusinessMonthBegin.rule_code", "pandas.tseries.offsets.CustomBusinessMonthBegin.weekmask", "pandas.tseries.offsets.CustomBusinessMonthEnd", "pandas.tseries.offsets.CustomBusinessMonthEnd.calendar", "pandas.tseries.offsets.CustomBusinessMonthEnd.copy", "pandas.tseries.offsets.CustomBusinessMonthEnd.freqstr", "pandas.tseries.offsets.CustomBusinessMonthEnd.holidays", "pandas.tseries.offsets.CustomBusinessMonthEnd.is_anchored", "pandas.tseries.offsets.CustomBusinessMonthEnd.is_month_end", "pandas.tseries.offsets.CustomBusinessMonthEnd.is_month_start", "pandas.tseries.offsets.CustomBusinessMonthEnd.is_on_offset", "pandas.tseries.offsets.CustomBusinessMonthEnd.is_quarter_end", "pandas.tseries.offsets.CustomBusinessMonthEnd.is_quarter_start", "pandas.tseries.offsets.CustomBusinessMonthEnd.is_year_end", "pandas.tseries.offsets.CustomBusinessMonthEnd.is_year_start", "pandas.tseries.offsets.CustomBusinessMonthEnd.kwds", "pandas.tseries.offsets.CustomBusinessMonthEnd.m_offset", "pandas.tseries.offsets.CustomBusinessMonthEnd.n", "pandas.tseries.offsets.CustomBusinessMonthEnd.name", "pandas.tseries.offsets.CustomBusinessMonthEnd.nanos", "pandas.tseries.offsets.CustomBusinessMonthEnd.normalize", "pandas.tseries.offsets.CustomBusinessMonthEnd.rule_code", "pandas.tseries.offsets.CustomBusinessMonthEnd.weekmask", "pandas.tseries.offsets.DateOffset", "pandas.tseries.offsets.DateOffset.copy", "pandas.tseries.offsets.DateOffset.freqstr", "pandas.tseries.offsets.DateOffset.is_anchored", "pandas.tseries.offsets.DateOffset.is_month_end", "pandas.tseries.offsets.DateOffset.is_month_start", "pandas.tseries.offsets.DateOffset.is_on_offset", "pandas.tseries.offsets.DateOffset.is_quarter_end", "pandas.tseries.offsets.DateOffset.is_quarter_start", "pandas.tseries.offsets.DateOffset.is_year_end", "pandas.tseries.offsets.DateOffset.is_year_start", "pandas.tseries.offsets.DateOffset.kwds", "pandas.tseries.offsets.DateOffset.n", "pandas.tseries.offsets.DateOffset.name", "pandas.tseries.offsets.DateOffset.nanos", "pandas.tseries.offsets.DateOffset.normalize", "pandas.tseries.offsets.DateOffset.rule_code", "pandas.tseries.offsets.Day", "pandas.tseries.offsets.Day.copy", "pandas.tseries.offsets.Day.delta", "pandas.tseries.offsets.Day.freqstr", "pandas.tseries.offsets.Day.is_anchored", "pandas.tseries.offsets.Day.is_month_end", "pandas.tseries.offsets.Day.is_month_start", "pandas.tseries.offsets.Day.is_on_offset", "pandas.tseries.offsets.Day.is_quarter_end", "pandas.tseries.offsets.Day.is_quarter_start", "pandas.tseries.offsets.Day.is_year_end", "pandas.tseries.offsets.Day.is_year_start", "pandas.tseries.offsets.Day.kwds", "pandas.tseries.offsets.Day.n", "pandas.tseries.offsets.Day.name", "pandas.tseries.offsets.Day.nanos", "pandas.tseries.offsets.Day.normalize", "pandas.tseries.offsets.Day.rule_code", "pandas.tseries.offsets.Easter", "pandas.tseries.offsets.Easter.copy", "pandas.tseries.offsets.Easter.freqstr", "pandas.tseries.offsets.Easter.is_anchored", "pandas.tseries.offsets.Easter.is_month_end", "pandas.tseries.offsets.Easter.is_month_start", "pandas.tseries.offsets.Easter.is_on_offset", "pandas.tseries.offsets.Easter.is_quarter_end", "pandas.tseries.offsets.Easter.is_quarter_start", "pandas.tseries.offsets.Easter.is_year_end", "pandas.tseries.offsets.Easter.is_year_start", "pandas.tseries.offsets.Easter.kwds", "pandas.tseries.offsets.Easter.n", "pandas.tseries.offsets.Easter.name", "pandas.tseries.offsets.Easter.nanos", "pandas.tseries.offsets.Easter.normalize", "pandas.tseries.offsets.Easter.rule_code", "pandas.tseries.offsets.FY5253", "pandas.tseries.offsets.FY5253.copy", "pandas.tseries.offsets.FY5253.freqstr", "pandas.tseries.offsets.FY5253.get_rule_code_suffix", "pandas.tseries.offsets.FY5253.get_year_end", "pandas.tseries.offsets.FY5253.is_anchored", "pandas.tseries.offsets.FY5253.is_month_end", "pandas.tseries.offsets.FY5253.is_month_start", "pandas.tseries.offsets.FY5253.is_on_offset", "pandas.tseries.offsets.FY5253.is_quarter_end", "pandas.tseries.offsets.FY5253.is_quarter_start", "pandas.tseries.offsets.FY5253.is_year_end", "pandas.tseries.offsets.FY5253.is_year_start", "pandas.tseries.offsets.FY5253.kwds", "pandas.tseries.offsets.FY5253.n", "pandas.tseries.offsets.FY5253.name", "pandas.tseries.offsets.FY5253.nanos", "pandas.tseries.offsets.FY5253.normalize", "pandas.tseries.offsets.FY5253.rule_code", "pandas.tseries.offsets.FY5253.startingMonth", "pandas.tseries.offsets.FY5253.variation", "pandas.tseries.offsets.FY5253.weekday", "pandas.tseries.offsets.FY5253Quarter", "pandas.tseries.offsets.FY5253Quarter.copy", "pandas.tseries.offsets.FY5253Quarter.freqstr", "pandas.tseries.offsets.FY5253Quarter.get_rule_code_suffix", "pandas.tseries.offsets.FY5253Quarter.get_weeks", "pandas.tseries.offsets.FY5253Quarter.is_anchored", "pandas.tseries.offsets.FY5253Quarter.is_month_end", "pandas.tseries.offsets.FY5253Quarter.is_month_start", "pandas.tseries.offsets.FY5253Quarter.is_on_offset", "pandas.tseries.offsets.FY5253Quarter.is_quarter_end", "pandas.tseries.offsets.FY5253Quarter.is_quarter_start", "pandas.tseries.offsets.FY5253Quarter.is_year_end", "pandas.tseries.offsets.FY5253Quarter.is_year_start", "pandas.tseries.offsets.FY5253Quarter.kwds", "pandas.tseries.offsets.FY5253Quarter.n", "pandas.tseries.offsets.FY5253Quarter.name", "pandas.tseries.offsets.FY5253Quarter.nanos", "pandas.tseries.offsets.FY5253Quarter.normalize", "pandas.tseries.offsets.FY5253Quarter.qtr_with_extra_week", "pandas.tseries.offsets.FY5253Quarter.rule_code", "pandas.tseries.offsets.FY5253Quarter.startingMonth", "pandas.tseries.offsets.FY5253Quarter.variation", "pandas.tseries.offsets.FY5253Quarter.weekday", "pandas.tseries.offsets.FY5253Quarter.year_has_extra_week", "pandas.tseries.offsets.Hour", "pandas.tseries.offsets.Hour.copy", "pandas.tseries.offsets.Hour.delta", "pandas.tseries.offsets.Hour.freqstr", "pandas.tseries.offsets.Hour.is_anchored", "pandas.tseries.offsets.Hour.is_month_end", "pandas.tseries.offsets.Hour.is_month_start", "pandas.tseries.offsets.Hour.is_on_offset", "pandas.tseries.offsets.Hour.is_quarter_end", "pandas.tseries.offsets.Hour.is_quarter_start", "pandas.tseries.offsets.Hour.is_year_end", "pandas.tseries.offsets.Hour.is_year_start", "pandas.tseries.offsets.Hour.kwds", "pandas.tseries.offsets.Hour.n", "pandas.tseries.offsets.Hour.name", "pandas.tseries.offsets.Hour.nanos", "pandas.tseries.offsets.Hour.normalize", "pandas.tseries.offsets.Hour.rule_code", "pandas.tseries.offsets.LastWeekOfMonth", "pandas.tseries.offsets.LastWeekOfMonth.copy", "pandas.tseries.offsets.LastWeekOfMonth.freqstr", "pandas.tseries.offsets.LastWeekOfMonth.is_anchored", "pandas.tseries.offsets.LastWeekOfMonth.is_month_end", "pandas.tseries.offsets.LastWeekOfMonth.is_month_start", "pandas.tseries.offsets.LastWeekOfMonth.is_on_offset", "pandas.tseries.offsets.LastWeekOfMonth.is_quarter_end", "pandas.tseries.offsets.LastWeekOfMonth.is_quarter_start", "pandas.tseries.offsets.LastWeekOfMonth.is_year_end", "pandas.tseries.offsets.LastWeekOfMonth.is_year_start", "pandas.tseries.offsets.LastWeekOfMonth.kwds", "pandas.tseries.offsets.LastWeekOfMonth.n", "pandas.tseries.offsets.LastWeekOfMonth.name", "pandas.tseries.offsets.LastWeekOfMonth.nanos", "pandas.tseries.offsets.LastWeekOfMonth.normalize", "pandas.tseries.offsets.LastWeekOfMonth.rule_code", "pandas.tseries.offsets.LastWeekOfMonth.week", "pandas.tseries.offsets.LastWeekOfMonth.weekday", "pandas.tseries.offsets.Micro", "pandas.tseries.offsets.Micro.copy", "pandas.tseries.offsets.Micro.delta", "pandas.tseries.offsets.Micro.freqstr", "pandas.tseries.offsets.Micro.is_anchored", "pandas.tseries.offsets.Micro.is_month_end", "pandas.tseries.offsets.Micro.is_month_start", "pandas.tseries.offsets.Micro.is_on_offset", "pandas.tseries.offsets.Micro.is_quarter_end", "pandas.tseries.offsets.Micro.is_quarter_start", "pandas.tseries.offsets.Micro.is_year_end", "pandas.tseries.offsets.Micro.is_year_start", "pandas.tseries.offsets.Micro.kwds", "pandas.tseries.offsets.Micro.n", "pandas.tseries.offsets.Micro.name", "pandas.tseries.offsets.Micro.nanos", "pandas.tseries.offsets.Micro.normalize", "pandas.tseries.offsets.Micro.rule_code", "pandas.tseries.offsets.Milli", "pandas.tseries.offsets.Milli.copy", "pandas.tseries.offsets.Milli.delta", "pandas.tseries.offsets.Milli.freqstr", "pandas.tseries.offsets.Milli.is_anchored", "pandas.tseries.offsets.Milli.is_month_end", "pandas.tseries.offsets.Milli.is_month_start", "pandas.tseries.offsets.Milli.is_on_offset", "pandas.tseries.offsets.Milli.is_quarter_end", "pandas.tseries.offsets.Milli.is_quarter_start", "pandas.tseries.offsets.Milli.is_year_end", "pandas.tseries.offsets.Milli.is_year_start", "pandas.tseries.offsets.Milli.kwds", "pandas.tseries.offsets.Milli.n", "pandas.tseries.offsets.Milli.name", "pandas.tseries.offsets.Milli.nanos", "pandas.tseries.offsets.Milli.normalize", "pandas.tseries.offsets.Milli.rule_code", "pandas.tseries.offsets.Minute", "pandas.tseries.offsets.Minute.copy", "pandas.tseries.offsets.Minute.delta", "pandas.tseries.offsets.Minute.freqstr", "pandas.tseries.offsets.Minute.is_anchored", "pandas.tseries.offsets.Minute.is_month_end", "pandas.tseries.offsets.Minute.is_month_start", "pandas.tseries.offsets.Minute.is_on_offset", "pandas.tseries.offsets.Minute.is_quarter_end", "pandas.tseries.offsets.Minute.is_quarter_start", "pandas.tseries.offsets.Minute.is_year_end", "pandas.tseries.offsets.Minute.is_year_start", "pandas.tseries.offsets.Minute.kwds", "pandas.tseries.offsets.Minute.n", "pandas.tseries.offsets.Minute.name", "pandas.tseries.offsets.Minute.nanos", "pandas.tseries.offsets.Minute.normalize", "pandas.tseries.offsets.Minute.rule_code", "pandas.tseries.offsets.MonthBegin", "pandas.tseries.offsets.MonthBegin.copy", "pandas.tseries.offsets.MonthBegin.freqstr", "pandas.tseries.offsets.MonthBegin.is_anchored", "pandas.tseries.offsets.MonthBegin.is_month_end", "pandas.tseries.offsets.MonthBegin.is_month_start", "pandas.tseries.offsets.MonthBegin.is_on_offset", "pandas.tseries.offsets.MonthBegin.is_quarter_end", "pandas.tseries.offsets.MonthBegin.is_quarter_start", "pandas.tseries.offsets.MonthBegin.is_year_end", "pandas.tseries.offsets.MonthBegin.is_year_start", "pandas.tseries.offsets.MonthBegin.kwds", "pandas.tseries.offsets.MonthBegin.n", "pandas.tseries.offsets.MonthBegin.name", "pandas.tseries.offsets.MonthBegin.nanos", "pandas.tseries.offsets.MonthBegin.normalize", "pandas.tseries.offsets.MonthBegin.rule_code", "pandas.tseries.offsets.MonthEnd", "pandas.tseries.offsets.MonthEnd.copy", "pandas.tseries.offsets.MonthEnd.freqstr", "pandas.tseries.offsets.MonthEnd.is_anchored", "pandas.tseries.offsets.MonthEnd.is_month_end", "pandas.tseries.offsets.MonthEnd.is_month_start", "pandas.tseries.offsets.MonthEnd.is_on_offset", "pandas.tseries.offsets.MonthEnd.is_quarter_end", "pandas.tseries.offsets.MonthEnd.is_quarter_start", "pandas.tseries.offsets.MonthEnd.is_year_end", "pandas.tseries.offsets.MonthEnd.is_year_start", "pandas.tseries.offsets.MonthEnd.kwds", "pandas.tseries.offsets.MonthEnd.n", "pandas.tseries.offsets.MonthEnd.name", "pandas.tseries.offsets.MonthEnd.nanos", "pandas.tseries.offsets.MonthEnd.normalize", "pandas.tseries.offsets.MonthEnd.rule_code", "pandas.tseries.offsets.Nano", "pandas.tseries.offsets.Nano.copy", "pandas.tseries.offsets.Nano.delta", "pandas.tseries.offsets.Nano.freqstr", "pandas.tseries.offsets.Nano.is_anchored", "pandas.tseries.offsets.Nano.is_month_end", "pandas.tseries.offsets.Nano.is_month_start", "pandas.tseries.offsets.Nano.is_on_offset", "pandas.tseries.offsets.Nano.is_quarter_end", "pandas.tseries.offsets.Nano.is_quarter_start", "pandas.tseries.offsets.Nano.is_year_end", "pandas.tseries.offsets.Nano.is_year_start", "pandas.tseries.offsets.Nano.kwds", "pandas.tseries.offsets.Nano.n", "pandas.tseries.offsets.Nano.name", "pandas.tseries.offsets.Nano.nanos", "pandas.tseries.offsets.Nano.normalize", "pandas.tseries.offsets.Nano.rule_code", "pandas.tseries.offsets.QuarterBegin", "pandas.tseries.offsets.QuarterBegin.copy", "pandas.tseries.offsets.QuarterBegin.freqstr", "pandas.tseries.offsets.QuarterBegin.is_anchored", "pandas.tseries.offsets.QuarterBegin.is_month_end", "pandas.tseries.offsets.QuarterBegin.is_month_start", "pandas.tseries.offsets.QuarterBegin.is_on_offset", "pandas.tseries.offsets.QuarterBegin.is_quarter_end", "pandas.tseries.offsets.QuarterBegin.is_quarter_start", "pandas.tseries.offsets.QuarterBegin.is_year_end", "pandas.tseries.offsets.QuarterBegin.is_year_start", "pandas.tseries.offsets.QuarterBegin.kwds", "pandas.tseries.offsets.QuarterBegin.n", "pandas.tseries.offsets.QuarterBegin.name", "pandas.tseries.offsets.QuarterBegin.nanos", "pandas.tseries.offsets.QuarterBegin.normalize", "pandas.tseries.offsets.QuarterBegin.rule_code", "pandas.tseries.offsets.QuarterBegin.startingMonth", "pandas.tseries.offsets.QuarterEnd", "pandas.tseries.offsets.QuarterEnd.copy", "pandas.tseries.offsets.QuarterEnd.freqstr", "pandas.tseries.offsets.QuarterEnd.is_anchored", "pandas.tseries.offsets.QuarterEnd.is_month_end", "pandas.tseries.offsets.QuarterEnd.is_month_start", "pandas.tseries.offsets.QuarterEnd.is_on_offset", "pandas.tseries.offsets.QuarterEnd.is_quarter_end", "pandas.tseries.offsets.QuarterEnd.is_quarter_start", "pandas.tseries.offsets.QuarterEnd.is_year_end", "pandas.tseries.offsets.QuarterEnd.is_year_start", "pandas.tseries.offsets.QuarterEnd.kwds", "pandas.tseries.offsets.QuarterEnd.n", "pandas.tseries.offsets.QuarterEnd.name", "pandas.tseries.offsets.QuarterEnd.nanos", "pandas.tseries.offsets.QuarterEnd.normalize", "pandas.tseries.offsets.QuarterEnd.rule_code", "pandas.tseries.offsets.QuarterEnd.startingMonth", "pandas.tseries.offsets.Second", "pandas.tseries.offsets.Second.copy", "pandas.tseries.offsets.Second.delta", "pandas.tseries.offsets.Second.freqstr", "pandas.tseries.offsets.Second.is_anchored", "pandas.tseries.offsets.Second.is_month_end", "pandas.tseries.offsets.Second.is_month_start", "pandas.tseries.offsets.Second.is_on_offset", "pandas.tseries.offsets.Second.is_quarter_end", "pandas.tseries.offsets.Second.is_quarter_start", "pandas.tseries.offsets.Second.is_year_end", "pandas.tseries.offsets.Second.is_year_start", "pandas.tseries.offsets.Second.kwds", "pandas.tseries.offsets.Second.n", "pandas.tseries.offsets.Second.name", "pandas.tseries.offsets.Second.nanos", "pandas.tseries.offsets.Second.normalize", "pandas.tseries.offsets.Second.rule_code", "pandas.tseries.offsets.SemiMonthBegin", "pandas.tseries.offsets.SemiMonthBegin.copy", "pandas.tseries.offsets.SemiMonthBegin.day_of_month", "pandas.tseries.offsets.SemiMonthBegin.freqstr", "pandas.tseries.offsets.SemiMonthBegin.is_anchored", "pandas.tseries.offsets.SemiMonthBegin.is_month_end", "pandas.tseries.offsets.SemiMonthBegin.is_month_start", "pandas.tseries.offsets.SemiMonthBegin.is_on_offset", "pandas.tseries.offsets.SemiMonthBegin.is_quarter_end", "pandas.tseries.offsets.SemiMonthBegin.is_quarter_start", "pandas.tseries.offsets.SemiMonthBegin.is_year_end", "pandas.tseries.offsets.SemiMonthBegin.is_year_start", "pandas.tseries.offsets.SemiMonthBegin.kwds", "pandas.tseries.offsets.SemiMonthBegin.n", "pandas.tseries.offsets.SemiMonthBegin.name", "pandas.tseries.offsets.SemiMonthBegin.nanos", "pandas.tseries.offsets.SemiMonthBegin.normalize", "pandas.tseries.offsets.SemiMonthBegin.rule_code", "pandas.tseries.offsets.SemiMonthEnd", "pandas.tseries.offsets.SemiMonthEnd.copy", "pandas.tseries.offsets.SemiMonthEnd.day_of_month", "pandas.tseries.offsets.SemiMonthEnd.freqstr", "pandas.tseries.offsets.SemiMonthEnd.is_anchored", "pandas.tseries.offsets.SemiMonthEnd.is_month_end", "pandas.tseries.offsets.SemiMonthEnd.is_month_start", "pandas.tseries.offsets.SemiMonthEnd.is_on_offset", "pandas.tseries.offsets.SemiMonthEnd.is_quarter_end", "pandas.tseries.offsets.SemiMonthEnd.is_quarter_start", "pandas.tseries.offsets.SemiMonthEnd.is_year_end", "pandas.tseries.offsets.SemiMonthEnd.is_year_start", "pandas.tseries.offsets.SemiMonthEnd.kwds", "pandas.tseries.offsets.SemiMonthEnd.n", "pandas.tseries.offsets.SemiMonthEnd.name", "pandas.tseries.offsets.SemiMonthEnd.nanos", "pandas.tseries.offsets.SemiMonthEnd.normalize", "pandas.tseries.offsets.SemiMonthEnd.rule_code", "pandas.tseries.offsets.Tick", "pandas.tseries.offsets.Tick.copy", "pandas.tseries.offsets.Tick.delta", "pandas.tseries.offsets.Tick.freqstr", "pandas.tseries.offsets.Tick.is_anchored", "pandas.tseries.offsets.Tick.is_month_end", "pandas.tseries.offsets.Tick.is_month_start", "pandas.tseries.offsets.Tick.is_on_offset", "pandas.tseries.offsets.Tick.is_quarter_end", "pandas.tseries.offsets.Tick.is_quarter_start", "pandas.tseries.offsets.Tick.is_year_end", "pandas.tseries.offsets.Tick.is_year_start", "pandas.tseries.offsets.Tick.kwds", "pandas.tseries.offsets.Tick.n", "pandas.tseries.offsets.Tick.name", "pandas.tseries.offsets.Tick.nanos", "pandas.tseries.offsets.Tick.normalize", "pandas.tseries.offsets.Tick.rule_code", "pandas.tseries.offsets.Week", "pandas.tseries.offsets.Week.copy", "pandas.tseries.offsets.Week.freqstr", "pandas.tseries.offsets.Week.is_anchored", "pandas.tseries.offsets.Week.is_month_end", "pandas.tseries.offsets.Week.is_month_start", "pandas.tseries.offsets.Week.is_on_offset", "pandas.tseries.offsets.Week.is_quarter_end", "pandas.tseries.offsets.Week.is_quarter_start", "pandas.tseries.offsets.Week.is_year_end", "pandas.tseries.offsets.Week.is_year_start", "pandas.tseries.offsets.Week.kwds", "pandas.tseries.offsets.Week.n", "pandas.tseries.offsets.Week.name", "pandas.tseries.offsets.Week.nanos", "pandas.tseries.offsets.Week.normalize", "pandas.tseries.offsets.Week.rule_code", "pandas.tseries.offsets.Week.weekday", "pandas.tseries.offsets.WeekOfMonth", "pandas.tseries.offsets.WeekOfMonth.copy", "pandas.tseries.offsets.WeekOfMonth.freqstr", "pandas.tseries.offsets.WeekOfMonth.is_anchored", "pandas.tseries.offsets.WeekOfMonth.is_month_end", "pandas.tseries.offsets.WeekOfMonth.is_month_start", "pandas.tseries.offsets.WeekOfMonth.is_on_offset", "pandas.tseries.offsets.WeekOfMonth.is_quarter_end", "pandas.tseries.offsets.WeekOfMonth.is_quarter_start", "pandas.tseries.offsets.WeekOfMonth.is_year_end", "pandas.tseries.offsets.WeekOfMonth.is_year_start", "pandas.tseries.offsets.WeekOfMonth.kwds", "pandas.tseries.offsets.WeekOfMonth.n", "pandas.tseries.offsets.WeekOfMonth.name", "pandas.tseries.offsets.WeekOfMonth.nanos", "pandas.tseries.offsets.WeekOfMonth.normalize", "pandas.tseries.offsets.WeekOfMonth.rule_code", "pandas.tseries.offsets.WeekOfMonth.week", "pandas.tseries.offsets.WeekOfMonth.weekday", "pandas.tseries.offsets.YearBegin", "pandas.tseries.offsets.YearBegin.copy", "pandas.tseries.offsets.YearBegin.freqstr", "pandas.tseries.offsets.YearBegin.is_anchored", "pandas.tseries.offsets.YearBegin.is_month_end", "pandas.tseries.offsets.YearBegin.is_month_start", "pandas.tseries.offsets.YearBegin.is_on_offset", "pandas.tseries.offsets.YearBegin.is_quarter_end", "pandas.tseries.offsets.YearBegin.is_quarter_start", "pandas.tseries.offsets.YearBegin.is_year_end", "pandas.tseries.offsets.YearBegin.is_year_start", "pandas.tseries.offsets.YearBegin.kwds", "pandas.tseries.offsets.YearBegin.month", "pandas.tseries.offsets.YearBegin.n", "pandas.tseries.offsets.YearBegin.name", "pandas.tseries.offsets.YearBegin.nanos", "pandas.tseries.offsets.YearBegin.normalize", "pandas.tseries.offsets.YearBegin.rule_code", "pandas.tseries.offsets.YearEnd", "pandas.tseries.offsets.YearEnd.copy", "pandas.tseries.offsets.YearEnd.freqstr", "pandas.tseries.offsets.YearEnd.is_anchored", "pandas.tseries.offsets.YearEnd.is_month_end", "pandas.tseries.offsets.YearEnd.is_month_start", "pandas.tseries.offsets.YearEnd.is_on_offset", "pandas.tseries.offsets.YearEnd.is_quarter_end", "pandas.tseries.offsets.YearEnd.is_quarter_start", "pandas.tseries.offsets.YearEnd.is_year_end", "pandas.tseries.offsets.YearEnd.is_year_start", "pandas.tseries.offsets.YearEnd.kwds", "pandas.tseries.offsets.YearEnd.month", "pandas.tseries.offsets.YearEnd.n", "pandas.tseries.offsets.YearEnd.name", "pandas.tseries.offsets.YearEnd.nanos", "pandas.tseries.offsets.YearEnd.normalize", "pandas.tseries.offsets.YearEnd.rule_code", "pandas.unique", "pandas.util.hash_array", "pandas.util.hash_pandas_object", "pandas.wide_to_long", "pandas arrays, scalars, and data types", "Extensions", "DataFrame", "General functions", "GroupBy", "API reference", "Index objects", "Input/output", "Missing values", "Date offsets", "Options and settings", "Plotting", "Resampling", "Series", "Style", "Testing", "Window", "10 minutes to pandas", "MultiIndex / advanced indexing", "Essential basic functionality", "Nullable Boolean data type", "Categorical data", "<no title>", "Copy-on-Write (CoW)", "Intro to data structures", "Duplicate Labels", "Enhancing performance", "Frequently Asked Questions (FAQ)", "Group by: split-apply-combine", "User Guide", "Indexing and selecting data", "Nullable integer data type", "IO tools (text, CSV, HDF5, \u2026)", "Merge, join, concatenate and compare", "Working with missing data", "Options and settings", "PyArrow Functionality", "Reshaping and pivot tables", "Scaling to large datasets", "Sparse data structures", "Table Visualization", "Working with text data", "Time deltas", "Time series / date functionality", "Chart visualization", "Windowing operations", "Release notes", "Version 0.10.0 (December 17, 2012)", "Version 0.10.1 (January 22, 2013)", "Version 0.11.0 (April 22, 2013)", "Version 0.12.0 (July 24, 2013)", "Version 0.13.0 (January 3, 2014)", "Version 0.13.1 (February 3, 2014)", "Version 0.14.0 (May 31 , 2014)", "Version 0.14.1 (July 11, 2014)", "Version 0.15.0 (October 18, 2014)", "Version 0.15.1 (November 9, 2014)", "Version 0.15.2 (December 12, 2014)", "Version 0.16.0 (March 22, 2015)", "Version 0.16.1 (May 11, 2015)", "Version 0.16.2 (June 12, 2015)", "Version 0.17.0 (October 9, 2015)", "Version 0.17.1 (November 21, 2015)", "Version 0.18.0 (March 13, 2016)", "Version 0.18.1 (May 3, 2016)", "Version 0.19.0 (October 2, 2016)", "Version 0.19.1 (November 3, 2016)", "Version 0.19.2 (December 24, 2016)", "Version 0.20.1 (May 5, 2017)", "Version 0.20.2 (June 4, 2017)", "Version 0.20.3 (July 7, 2017)", "Version 0.21.0 (October 27, 2017)", "Version 0.21.1 (December 12, 2017)", "Version 0.22.0 (December 29, 2017)", "What\u2019s new in 0.23.0 (May 15, 2018)", "What\u2019s new in 0.23.1 (June 12, 2018)", "What\u2019s new in 0.23.2 (July 5, 2018)", "What\u2019s new in 0.23.3 (July 7, 2018)", "What\u2019s new in 0.23.4 (August 3, 2018)", "What\u2019s new in 0.24.0 (January 25, 2019)", "What\u2019s new in 0.24.1 (February 3, 2019)", "What\u2019s new in 0.24.2 (March 12, 2019)", "What\u2019s new in 0.25.0 (July 18, 2019)", "What\u2019s new in 0.25.1 (August 21, 2019)", "What\u2019s new in 0.25.2 (October 15, 2019)", "What\u2019s new in 0.25.3 (October 31, 2019)", "Versions 0.4.1 through 0.4.3 (September 25 - October 9, 2011)", "Version 0.5.0 (October 24, 2011)", "Version 0.6.0 (November 25, 2011)", "Version 0.6.1 (December 13, 2011)", "Version 0.7.0 (February 9, 2012)", "Version 0.7.1 (February 29, 2012)", "Version 0.7.2 (March 16, 2012)", "Version 0.7.3 (April 12, 2012)", "Version 0.8.0 (June 29, 2012)", "Version 0.8.1 (July 22, 2012)", "Version 0.9.0 (October 7, 2012)", "Version 0.9.1 (November 14, 2012)", "What\u2019s new in 1.0.0 (January 29, 2020)", "What\u2019s new in 1.0.1 (February 5, 2020)", "What\u2019s new in 1.0.2 (March 12, 2020)", "What\u2019s new in 1.0.3 (March 17, 2020)", "What\u2019s new in 1.0.4 (May 28, 2020)", "What\u2019s new in 1.0.5 (June 17, 2020)", "What\u2019s new in 1.1.0 (July 28, 2020)", "What\u2019s new in 1.1.1 (August 20, 2020)", "What\u2019s new in 1.1.2 (September 8, 2020)", "What\u2019s new in 1.1.3 (October 5, 2020)", "What\u2019s new in 1.1.4 (October 30, 2020)", "What\u2019s new in 1.1.5 (December 07, 2020)", "What\u2019s new in 1.2.0 (December 26, 2020)", "What\u2019s new in 1.2.1 (January 20, 2021)", "What\u2019s new in 1.2.2 (February 09, 2021)", "What\u2019s new in 1.2.3 (March 02, 2021)", "What\u2019s new in 1.2.4 (April 12, 2021)", "What\u2019s new in 1.2.5 (June 22, 2021)", "What\u2019s new in 1.3.0 (July 2, 2021)", "What\u2019s new in 1.3.1 (July 25, 2021)", "What\u2019s new in 1.3.2 (August 15, 2021)", "What\u2019s new in 1.3.3 (September 12, 2021)", "What\u2019s new in 1.3.4 (October 17, 2021)", "What\u2019s new in 1.3.5 (December 12, 2021)", "What\u2019s new in 1.4.0 (January 22, 2022)", "What\u2019s new in 1.4.1 (February 12, 2022)", "What\u2019s new in 1.4.2 (April 2, 2022)", "What\u2019s new in 1.4.3 (June 23, 2022)", "What\u2019s new in 1.4.4 (August 31, 2022)", "What\u2019s new in 1.5.0 (September 19, 2022)", "What\u2019s new in 1.5.1 (October 19, 2022)", "What\u2019s new in 1.5.2 (November 21, 2022)", "What\u2019s new in 1.5.3 (January 18, 2023)", "What\u2019s new in 2.0.0 (April 3, 2023)", "What\u2019s new in 2.0.1 (April 24, 2023)", "What\u2019s new in 2.0.2 (May 29, 2023)", "What\u2019s new in 2.0.3 (June 28, 2023)", "What\u2019s new in 2.1.0 (Aug 30, 2023)", "What\u2019s new in 2.1.1 (September 20, 2023)", "What\u2019s new in 2.1.2 (October 26, 2023)", "What\u2019s new in 2.1.3 (November 10, 2023)", "What\u2019s new in 2.1.4 (December 8, 2023)", "What\u2019s new in 2.2.0 (January 19, 2024)", "What\u2019s new in 2.2.1 (February 22, 2024)", "What\u2019s new in 2.2.2 (April 10, 2024)", "What\u2019s new in 2.2.3 (September 20, 2024)"], "titleterms": {"": [6, 15, 2188, 2195, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2241, 2242, 2243, 2244, 2245, 2246, 2247, 2248, 2249, 2250, 2251, 2252, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, 2310], "0": [2213, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2244, 2245, 2246, 2247, 2248, 2249, 2250, 2251, 2252, 2253, 2254, 2255, 2256, 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2277, 2283, 2289, 2294, 2298, 2299, 2300, 2301, 2302, 2307, 2309], "02": 2280, "07": 2276, "09": 2279, "1": [3, 5, 6, 2207, 2213, 2215, 2219, 2221, 2223, 2226, 2229, 2231, 2233, 2235, 2239, 2242, 2247, 2250, 2253, 2256, 2258, 2261, 2262, 2264, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2299, 2302, 2303, 2304, 2305, 2306, 2308], "10": [2184, 2213, 2214, 2215, 2305, 2309], "11": [2213, 2216, 2221, 2226], "12": [2213, 2217, 2224, 2227, 2239, 2242, 2248, 2260, 2267, 2281, 2286, 2288, 2290], "13": [2213, 2218, 2219, 2230, 2235, 2256, 2310], "14": [2213, 2220, 2221, 2264], "15": [2213, 2222, 2223, 2224, 2241, 2251, 2285], "16": [2213, 2225, 2226, 2227, 2259], "17": [2213, 2214, 2228, 2229, 2268, 2270, 2287], "18": [2213, 2222, 2230, 2231, 2249, 2297], "19": [2213, 2232, 2233, 2234, 2294, 2295, 2307], "2": [3, 5, 6, 2207, 2213, 2224, 2227, 2232, 2234, 2236, 2243, 2248, 2251, 2259, 2267, 2273, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2285, 2291, 2296, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, 2310], "20": [2213, 2235, 2236, 2237, 2272, 2278, 2303, 2310], "2011": [2253, 2254, 2255, 2256], "2012": [2214, 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264], "2013": [2215, 2216, 2217], "2014": [2218, 2219, 2220, 2221, 2222, 2223, 2224], "2015": [2225, 2226, 2227, 2228, 2229], "2016": [2230, 2231, 2232, 2233, 2234], "2017": [2235, 2236, 2237, 2238, 2239, 2240], "2018": [2241, 2242, 2243, 2244, 2245], "2019": [2246, 2247, 2248, 2249, 2250, 2251, 2252], "2020": [2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277], "2021": [2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288], "2022": [2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296], "2023": [2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306], "2024": [2307, 2308, 2309, 2310], "21": [2213, 2229, 2238, 2239, 2250, 2296], "22": [2213, 2215, 2216, 2225, 2240, 2262, 2282, 2289, 2308], "23": [2213, 2241, 2242, 2243, 2244, 2245, 2292], "24": [2213, 2217, 2234, 2246, 2247, 2248, 2254, 2299], "25": [2213, 2246, 2249, 2250, 2251, 2252, 2253, 2255, 2284], "26": [2277, 2304], "27": 2238, "28": [2269, 2271, 2301], "29": [2240, 2258, 2261, 2265, 2300], "3": [3, 5, 2207, 2213, 2218, 2219, 2231, 2233, 2237, 2241, 2244, 2245, 2247, 2252, 2253, 2260, 2261, 2268, 2274, 2280, 2283, 2284, 2285, 2286, 2287, 2288, 2292, 2297, 2298, 2301, 2302, 2305, 2307, 2310], "30": [2275, 2302], "31": [2220, 2252, 2293], "3rd": 10, "4": [3, 5, 2207, 2213, 2236, 2245, 2253, 2269, 2275, 2281, 2287, 2289, 2290, 2291, 2292, 2293, 2306], "48645": 2295, "5": [3, 2207, 2213, 2235, 2243, 2254, 2266, 2270, 2274, 2276, 2282, 2288, 2294, 2295, 2296, 2297], "6": [3, 2213, 2241, 2255, 2256, 2261], "7": [3, 2213, 2237, 2244, 2257, 2258, 2259, 2260, 2261, 2263], "8": [2213, 2261, 2262, 2273, 2306], "9": [2213, 2223, 2228, 2253, 2257, 2263, 2264], "BY": 18, "By": [16, 19, 2186, 2265], "If": [16, 17, 19, 2207], "No": 2238, "The": [0, 2193, 2195, 2197, 2232, 2249], "__add__": 65, "__array__": [40, 575], "__dataframe__": 66, "__getitem__": 735, "__iter__": [67, 576, 1147, 1206, 1268], "__repr__": 2249, "__str__": 2249, "_accumul": 1032, "_concat_same_typ": 1033, "_explod": 1034, "_formatt": 1035, "_from_factor": 1036, "_from_sequ": 1037, "_from_sequence_of_str": 1038, "_hash_pandas_object": 1039, "_pad_or_backfil": 1040, "_reduc": 1041, "_values_for_argsort": 1042, "_values_for_factor": 1043, "ab": [68, 577], "about": [3, 4, 2207], "abstractmethoderror": 1346, "acceler": [2186, 2195], "accept": [2238, 2241, 2265], "access": [22, 2191, 2197, 2235, 2246], "accessor": [10, 2169, 2180, 2186, 2188, 2206, 2222, 2228, 2249, 2307], "accur": 2235, "acknowledg": 6, "across": 2271, "act": 2207, "activ": 6, "ad": [17, 2197, 2204, 2271, 2274], "adbc": 2307, "add": [69, 578, 2207], "add_categori": [50, 605], "add_prefix": [70, 579], "add_suffix": [71, 580], "addit": [6, 2191, 2228, 2230, 2246], "adjust": [2210, 2211], "advanc": [2185, 2199], "agg": [72, 581, 1148, 1207, 2235, 2271, 2283], "aggreg": [15, 16, 18, 19, 28, 73, 582, 1149, 1208, 1269, 1304, 1321, 2186, 2195, 2210, 2249, 2277], "alias": [2210, 2307], "align": [74, 583, 2185, 2186, 2191, 2208, 2228, 2249, 2278], "all": [75, 356, 584, 1150, 1209, 2208, 2238, 2271, 2289, 2292], "allow": 2271, "also": [3, 2238], "alter": 2186, "altern": 2191, "alwai": [2235, 2246, 2271, 2283], "ambigu": 2210, "an": [1, 2, 5, 2185, 2186, 2195, 2197, 2199, 2208, 2235, 2249, 2294], "anaconda": 22, "analysi": 35, "analyt": 18, "anchor": 2210, "andrew": 2211, "andrews_curv": 1455, "ani": [76, 357, 585, 1151, 1210], "anoth": [31, 2186], "apach": [9, 10, 2238], "api": [1031, 1032, 1033, 1034, 1035, 1036, 1037, 1038, 1039, 1040, 1041, 1042, 1043, 1044, 1045, 1046, 1047, 1048, 1049, 1050, 1051, 1052, 1053, 1054, 1055, 1056, 1057, 1058, 1059, 1060, 1061, 1062, 1063, 1064, 1065, 1066, 1067, 1068, 1069, 1070, 1071, 1072, 1073, 1074, 1075, 1076, 1077, 1078, 1079, 1080, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1092, 1093, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1501, 2172, 2186, 2199, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2240, 2241, 2246, 2247, 2249, 2257, 2260, 2261, 2263, 2264, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "append": [346, 358, 479, 2188, 2200, 2289], "appli": [77, 586, 1152, 1211, 1270, 1305, 1322, 1395, 2186, 2188, 2195, 2212, 2231, 2241, 2249, 2265, 2271, 2289, 2294], "applic": [2169, 2171, 2179, 2180, 2181, 2186], "apply_index": 1396, "applymap": [78, 2271], "april": [2216, 2260, 2281, 2291, 2298, 2299, 2309], "ar": [2185, 2186, 2230, 2241, 2249, 2289, 2298], "arbitrari": 2289, "archiv": 2294, "area": [187, 763, 2211], "argmax": [359, 587, 2238], "argmin": [360, 588, 2238], "argsort": [361, 589, 1044, 2249], "argument": [1406, 2210, 2211, 2235, 2241, 2265, 2271, 2277, 2298], "arithmet": [10, 2191, 2201, 2232, 2240, 2246], "arrai": [10, 590, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 2167, 2186, 2188, 2190, 2191, 2208, 2232, 2246, 2265, 2267], "arrow": [10, 2307], "arrowdtyp": 37, "arrowextensionarrai": 1119, "arrowstringarrai": 1120, "artifici": 2283, "as_index": 2271, "as_ord": [51, 606], "as_unit": [287, 638, 917, 939, 954], "as_unord": [52, 607], "asfreq": [79, 511, 541, 591, 1271], "asian": 2228, "ask": 2194, "asm8": [918, 955], "asof": [80, 362, 592, 2232], "asof_loc": 363, "assembl": [2210, 2231], "assert": 2182, "assert_extension_array_equ": 1493, "assert_frame_equ": [1494, 2271], "assert_index_equ": 1495, "assert_series_equ": [1496, 2271], "assign": [81, 2190, 2191, 2197, 2225, 2230, 2232, 2238, 2241, 2271, 2307], "astimezon": 956, "astyp": [82, 364, 593, 1045, 2186, 2241, 2298], "at_tim": [84, 595], "attempt": 2238, "attr": [85, 596], "attribut": [2169, 2180, 2186, 2191, 2195, 2197, 2207, 2209, 2294], "attributeconflictwarn": 1347, "aug": 2302, "august": [2245, 2250, 2272, 2285, 2293], "authent": 6, "autocorr": 597, "autocorrel": 2211, "autocorrelation_plot": 1456, "automat": [2199, 2211, 2235, 2238, 2307], "avail": 2202, "avoid": [2190, 2265, 2302], "awar": [2232, 2246, 2271], "ax": [86, 2211], "axi": [2185, 2186, 2200, 2211, 2238], "back": [6, 2283, 2294, 2298, 2307], "backend": [10, 2211, 2277], "backfil": [87, 598], "background": 2207, "background_gradi": 1397, "backport": 13, "backward": [2, 2210, 2222, 2225, 2228, 2230, 2235, 2238, 2240, 2241, 2246, 2249, 2265, 2271, 2283, 2289, 2294, 2298, 2302], "bad": 2199, "bar": [188, 764, 1398, 2207, 2211], "barh": [189, 765], "base": [2, 15, 2186, 2197, 2257, 2271, 2289, 2294, 2307], "baseindex": 1073, "basic": [2184, 2185, 2186, 2197, 2199, 2210, 2211], "bdai": 1503, "bdate_rang": 1145, "becom": [13, 2302], "behav": 2298, "behavior": [2186, 2188, 2190, 2199, 2208, 2228, 2230, 2292, 2295, 2307], "benchmark": 13, "better": [2235, 2241, 2249], "between": [599, 2207, 2210], "between_tim": [88, 600], "bfill": [89, 601, 1153, 1212, 1272, 2249], "bigqueri": [2174, 2199, 2228, 2232, 2235], "bin": [2185, 2210, 2211], "binari": [2169, 2180, 2186, 2199, 2212, 2235, 2249, 2277], "bitwis": 2194, "blank": 6, "bmonthbegin": 1504, "bmonthend": 1505, "book": 338, "bool": [90, 602, 2228, 2232], "boolean": [2167, 2184, 2186, 2187, 2194, 2197, 2199, 2201, 2228, 2238, 2260, 2265, 2267, 2283], "booleanarrai": [1121, 2265], "booleandtyp": 38, "bootstrap": 2211, "bootstrap_plot": 1457, "bound": 2210, "box": [190, 766, 2211], "boxplot": [91, 1154, 1458], "bquarterbegin": [1506, 1507, 1508, 1509, 1510, 1511, 1512, 1513, 1514, 1515, 1516, 1517, 1518, 1519, 1520, 1521, 1522, 1523, 2176], "bquarterend": [1524, 1525, 1526, 1527, 1528, 1529, 1530, 1531, 1532, 1533, 1534, 1535, 1536, 1537, 1538, 1539, 1540, 1541, 2176], "branch": [1, 4], "break": 2222, "broadcast": [2186, 2246], "bug": [1, 2182, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2241, 2242, 2243, 2245, 2246, 2247, 2248, 2249, 2250, 2251, 2252, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2283, 2284, 2285, 2286, 2287, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, 2310], "build": [4, 5, 2241, 2243, 2246, 2249, 2265, 2283], "build_table_schema": 1436, "built": 2195, "builtin": [2181, 2207], "busi": [2210, 2231], "businessdai": [1578, 1579, 1580, 1581, 1582, 1583, 1584, 1585, 1586, 1587, 1588, 1589, 1590, 1591, 1592, 1593, 1594, 1595, 1596, 1597, 2176], "businesshour": [1598, 1599, 1600, 1601, 1602, 1603, 1604, 1605, 1606, 1607, 1608, 1609, 1610, 1611, 1612, 1613, 1614, 1615, 1616, 1617, 1618, 1619, 2176], "businessmonthbegin": [1620, 1621, 1622, 1623, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1631, 1632, 1633, 1634, 1635, 1636, 2176], "businessmonthend": [1637, 1638, 1639, 1640, 1641, 1642, 1643, 1644, 1645, 1646, 1647, 1648, 1649, 1650, 1651, 1652, 1653, 2176], "button": 6, "byearbegin": [1542, 1543, 1544, 1545, 1546, 1547, 1548, 1549, 1550, 1551, 1552, 1553, 1554, 1555, 1556, 1557, 1558, 1559, 2176], "byearend": [1560, 1561, 1562, 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1571, 1572, 1573, 1574, 1575, 1576, 1577, 2176], "byte": [2194, 2207], "c": [5, 8, 15, 2193], "calamin": [2199, 2307], "calcul": [28, 2201, 2206], "calendar": [0, 1579, 1599, 1658, 1678, 1700, 1721, 2210], "call": [2195, 2249, 2278], "callabl": [2197, 2283], "can": [6, 2271, 2289, 2298], "cannot": 6, "capit": 819, "caption": [2207, 2277], "case": [16, 17, 19, 2197], "case_when": 603, "casefold": 820, "cast": [15, 2283, 2298], "cat": [604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 821, 2230, 2241], "categor": [39, 40, 41, 42, 43, 44, 45, 2167, 2173, 2180, 2184, 2188, 2195, 2199, 2222, 2225, 2228, 2232, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2246, 2249, 2250, 2265, 2271, 2277, 2283, 2289, 2294, 2295, 2298, 2302, 2307], "categori": [28, 41, 47, 53, 608, 2188, 2241], "categoricalconversionwarn": 1349, "categoricaldtyp": [46, 47, 48, 2188, 2238, 2241], "categoricalindex": [49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 2173, 2185, 2226], "caveat": [2193, 2199], "cbmonthbegin": 1654, "cbmonthend": 1655, "cdai": 1656, "ceil": [288, 639, 919, 940, 957], "cell": [2199, 2207], "cell_id": 2207, "center": [822, 2212, 2283], "certain": [16, 17, 19], "chain": [2190, 2191, 2197, 2231, 2307], "chainedassignmenterror": 1350, "chang": [1, 4, 16, 17, 19, 2185, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2240, 2241, 2243, 2246, 2247, 2249, 2257, 2260, 2261, 2263, 2264, 2265, 2271, 2274, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "charact": 2199, "chart": [35, 2207, 2211], "check": 2249, "check_array_index": 1076, "check_freq": 2271, "choic": [2197, 2216], "chunk": [2199, 2205, 2232], "class": [2199, 2207], "clean": 13, "clear": 1399, "clip": [92, 616], "clipboard": [22, 2174, 2199], "close": [13, 446, 460, 1126], "closed_left": 447, "closed_right": 448, "closedfileerror": 1351, "cloud": 22, "code": [1, 2, 42, 54, 480, 609, 2249], "coerc": 2289, "colormap": 2211, "column": [9, 16, 17, 19, 23, 25, 27, 93, 2186, 2188, 2191, 2195, 2197, 2199, 2200, 2207, 2210, 2232, 2238, 2241, 2246, 2249, 2271, 2277, 2283, 2289, 2292, 2294], "combin": [30, 94, 617, 958, 1406, 2169, 2173, 2180, 2186, 2195, 2197, 2200, 2210, 2241], "combine_first": [95, 618, 2200, 2283], "come": [6, 21], "comment": 2199, "commit": [2, 6], "common": [30, 2241], "commun": [0, 34, 35], "compar": [96, 619, 2169, 2180, 2186, 2200, 2271], "comparison": [15, 16, 17, 18, 19, 20, 2186, 2188, 2193, 2197, 2201, 2228, 2232, 2235, 2246, 2260, 2265], "compat": [2, 10, 2173, 2231, 2240, 2309, 2310], "compil": [5, 2193], "complet": [6, 2191], "compon": [640, 920, 941, 2173, 2210], "compress": [22, 2199, 2235], "comput": [22, 2169, 2171, 2173, 2179, 2180, 2212], "concat": [1146, 1400, 2184, 2200, 2235, 2289, 2292], "concaten": [30, 2188, 2200, 2207, 2208, 2232, 2241, 2246, 2249], "condit": [2229, 2307], "condition": 2197, "configur": [13, 2199], "conflict": 2289, "connect": [2, 2199], "consequ": 2192, "consid": 2201, "consider": [16, 17, 19, 2199], "consist": [2228, 2232, 2235, 2238, 2241, 2271, 2277, 2283, 2289, 2298, 2307], "consol": 2191, "consortium": 22, "construct": [16, 17, 19, 2198, 2249, 2298], "constructor": [10, 2167, 2169, 2173, 2180, 2181, 2191, 2232, 2238, 2271, 2283], "contain": [461, 823, 1127, 2208], "content": [1, 2, 2199], "context": 2201, "continu": 2, "contribut": [1, 2, 4], "contributor": [0, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2244, 2245, 2246, 2247, 2248, 2249, 2250, 2251, 2252, 2253, 2254, 2255, 2256, 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, 2310], "control": [1, 2188, 2195, 2207, 2211, 2294], "convent": 3, "convers": [2169, 2173, 2180, 2186, 2199, 2201, 2209, 2210, 2216, 2235, 2236, 2237, 2238, 2239, 2241, 2246, 2249, 2250, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "convert": [2199, 2210, 2238, 2239, 2246, 2265, 2271, 2294, 2307], "convert_dtyp": [97, 620, 2265], "cookbook": 35, "coordin": [2199, 2211], "copi": [7, 16, 17, 18, 19, 34, 98, 365, 481, 621, 1046, 1507, 1525, 1543, 1561, 1580, 1600, 1621, 1638, 1659, 1679, 1701, 1722, 1742, 1759, 1777, 1794, 1816, 1840, 1858, 1877, 1895, 1913, 1931, 1948, 1965, 1983, 2001, 2019, 2037, 2055, 2073, 2091, 2109, 2128, 2146, 2186, 2190, 2197, 2283, 2294, 2298, 2302, 2307], "core": [1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 2241], "corr": [99, 622, 1155, 1213, 1298, 1306, 1323, 2235], "correctli": [2241, 2271], "correl": 2212, "corrwith": [100, 1156], "count": [28, 101, 623, 824, 1157, 1214, 1273, 1307, 1324, 2184, 2186, 2207, 2298], "cov": [102, 624, 1158, 1215, 1299, 1308, 1325, 2235], "covari": 2212, "cow": 2190, "creat": [1, 5, 26, 27, 2185, 2199, 2208, 2235, 2238, 2246, 2307], "creation": [2184, 2188], "cross": 2185, "crosstab": [1342, 2204], "css": 2207, "csswarn": 1348, "csv": [17, 2184, 2199, 2283, 2289], "ctime": 959, "cumcount": [1159, 1216], "cummax": [103, 625, 1160, 1217], "cummin": [104, 626, 1161, 1218], "cumprod": [105, 627, 1162, 1219, 2298], "cumsum": [106, 628, 1163, 1220, 2298], "cursor": 6, "curv": 2211, "custom": [10, 2186, 2193, 2210, 2211, 2212, 2231, 2241, 2265, 2283], "custombusinessdai": [1657, 1658, 1659, 1660, 1661, 1662, 1663, 1664, 1665, 1666, 1667, 1668, 1669, 1670, 1671, 1672, 1673, 1674, 1675, 1676, 2176], "custombusinesshour": [1677, 1678, 1679, 1680, 1681, 1682, 1683, 1684, 1685, 1686, 1687, 1688, 1689, 1690, 1691, 1692, 1693, 1694, 1695, 1696, 1697, 1698, 2176], "custombusinessmonthbegin": [1699, 1700, 1701, 1702, 1703, 1704, 1705, 1706, 1707, 1708, 1709, 1710, 1711, 1712, 1713, 1714, 1715, 1716, 1717, 1718, 1719, 2176], "custombusinessmonthend": [1720, 1721, 1722, 1723, 1724, 1725, 1726, 1727, 1728, 1729, 1730, 1731, 1732, 1733, 1734, 1735, 1736, 1737, 1738, 1739, 1740, 2176], "customis": 2207, "cut": [1343, 2185, 2204], "cython": 2193, "dai": [290, 512, 542, 642, 648, 921, 942, 961, 1758, 1759, 1760, 1761, 1762, 1763, 1764, 1765, 1766, 1767, 1768, 1769, 1770, 1771, 1772, 1773, 1774, 1775, 2176, 2210], "data": [10, 12, 16, 17, 19, 22, 23, 24, 30, 31, 32, 34, 35, 2167, 2169, 2170, 2180, 2184, 2185, 2186, 2187, 2188, 2191, 2195, 2197, 2198, 2199, 2201, 2203, 2204, 2205, 2206, 2207, 2208, 2210, 2211, 2235, 2246, 2265, 2277, 2283, 2307], "data_label": 1437, "databas": 22, "databaseerror": 1353, "dataclass": 2191, "dataerror": 1352, "datafram": [9, 16, 17, 19, 23, 25, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 2169, 2170, 2186, 2188, 2191, 2193, 2194, 2195, 2199, 2200, 2207, 2210, 2214, 2218, 2222, 2225, 2235, 2238, 2241, 2243, 2246, 2249, 2265, 2271, 2277, 2278, 2283, 2289, 2292, 2294, 2298, 2302, 2307], "dataframegroupbi": [1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 2171, 2271, 2283, 2294, 2298], "dataset": 2205, "datatyp": [2199, 2205], "date": [16, 17, 19, 289, 641, 960, 2173, 2176, 2199, 2210, 2211, 2249, 2289], "date_rang": 1344, "dateoffset": [1741, 1742, 1743, 1744, 1745, 1746, 1747, 1748, 1749, 1750, 1751, 1752, 1753, 1754, 1755, 1756, 1757, 2176, 2210, 2246], "datetim": [31, 2167, 2170, 2180, 2188, 2199, 2210, 2216, 2228, 2231, 2235, 2239, 2246, 2277, 2283, 2298, 2302], "datetime64": [2261, 2298], "datetimearrai": 1122, "datetimeindex": [286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 2173, 2210, 2231, 2246], "datetimelik": [2170, 2180, 2230, 2241, 2246, 2249, 2250, 2265, 2271, 2283, 2289, 2294, 2298, 2302, 2307], "datetimetzdtyp": [334, 335, 336], "day_nam": [291, 643, 962], "day_of_month": [2038, 2056], "day_of_week": [292, 513, 543, 644, 963], "day_of_year": [293, 514, 544, 645, 964], "dayofweek": [294, 515, 545, 646, 965], "dayofyear": [295, 516, 546, 647, 966], "days_in_month": [517, 547, 649, 967], "daysinmonth": [518, 548, 650, 968], "ddply": 15, "deal": [2170, 2199], "debug": [8, 13], "decemb": [2214, 2224, 2234, 2239, 2240, 2256, 2276, 2277, 2288, 2306], "declar": 2193, "decod": 825, "dedic": [2265, 2307], "default": [2186, 2241, 2265, 2277, 2294, 2298, 2302, 2307], "defin": [10, 2184, 2185, 2194, 2195, 2265], "delet": [18, 366, 2191, 2199], "delimit": 2199, "delta": [1760, 1841, 1878, 1896, 1914, 1966, 2020, 2074, 2209], "denot": 2265, "densiti": [191, 236, 767, 810, 2211], "depend": [2, 22, 2238, 2241, 2246, 2249, 2261, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "deprec": [2216, 2218, 2219, 2220, 2222, 2225, 2226, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2239, 2241, 2246, 2249, 2265, 2266, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2304, 2307], "deregister_matplotlib_convert": 1459, "deriv": 27, "describ": [107, 629, 1164, 1221, 2186, 2232, 2235, 2249], "describe_opt": 1345, "descript": [2169, 2171, 2179, 2180, 2186, 2188, 2190], "descriptor": 9, "detect": [2192, 2289], "develop": [0, 1, 2, 5, 6, 9, 11, 22, 34, 2232, 2235, 2271, 2274], "deviat": 2283, "dialect": 2199, "dict": [2186, 2191, 2238, 2241, 2249, 2283], "dictionari": [2197, 2235], "diff": [108, 630, 1165, 1222], "differ": [367, 2188, 2194, 2195, 2197, 2208, 2232, 2235, 2271, 2307], "dimension": 2214, "direct": 2193, "directli": [2211, 2232, 2277, 2294], "disabl": 2193, "disallow": [2192, 2277, 2298], "discret": 2186, "disk": [16, 19, 2199], "displai": [2191, 2202, 2207, 2220, 2228], "div": [109, 631], "divis": 2241, "do": [23, 24, 25, 26, 2271], "docker": [5, 8], "docstr": [3, 4], "doctest": 3, "document": [2, 4, 6, 36, 2238, 2241, 2265, 2283, 2307], "doe": [6, 23, 2197], "don": 2207, "dot": [110, 632], "downcast": [2232, 2307], "downsampl": 2230, "driven": 2, "driver": 2307, "drop": [16, 17, 19, 111, 368, 482, 633, 2186, 2201, 2238, 2283], "drop_dupl": [112, 369, 634], "droplevel": [113, 370, 483, 635], "dropna": [114, 371, 636, 1047, 2195, 2228, 2294], "dst": 969, "dt": [637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 2186, 2222, 2228, 2246], "dtype": [43, 115, 372, 484, 690, 691, 875, 1048, 2185, 2186, 2188, 2199, 2210, 2216, 2230, 2232, 2235, 2238, 2241, 2246, 2249, 2261, 2265, 2271, 2283, 2289, 2294, 2298, 2302, 2307], "dtype_backend": 2298, "dtypewarn": 1354, "duplic": [17, 116, 373, 692, 1049, 2192, 2197, 2199, 2232, 2277], "duplicatelabelerror": 1355, "dure": [2238, 2249], "each": [23, 2186, 2195, 2208], "eas": [31, 2265], "east": 2228, "easter": [1776, 1777, 1778, 1779, 1780, 1781, 1782, 1783, 1784, 1785, 1786, 1787, 1788, 1789, 1790, 1791, 1792, 2176], "editor": 8, "effect": 2188, "effici": 2205, "elementwis": 2186, "empti": [117, 374, 693, 2199, 2238, 2249, 2265, 2289, 2292, 2298], "emptydataerror": 1356, "enabl": 2190, "encod": 826, "end": [1601, 1680, 2246, 2249], "end_tim": [519, 549, 651, 2246], "endpoint": [2185, 2212], "endswith": 827, "engin": [2193, 2199, 2212, 2246, 2289, 2298, 2307], "enhanc": [1, 2193, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2234, 2235, 2236, 2238, 2239, 2241, 2246, 2249, 2253, 2254, 2255, 2265, 2271, 2274, 2277, 2283, 2289, 2294, 2298, 2302, 2307, 2308], "enlarg": 2197, "entir": 2243, "enumer": [2195, 2232], "env": 1401, "environ": [1, 5, 2202], "epoch": 2210, "eq": [118, 694], "equal": [55, 119, 375, 695, 1050, 2188], "equival": [18, 2186], "error": [1346, 1347, 1348, 1349, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 1385, 1386, 2199, 2211, 2228, 2231, 2235, 2238], "errstat": 2232, "escap": [2199, 2207], "essenti": 2186, "etc": 2307, "eval": [120, 1387, 2193, 2228, 2230, 2238], "evalu": [2170, 2193, 2197, 2249, 2271], "evan": 35, "everi": 2207, "ewm": [121, 696, 1298, 1299, 1300, 1301, 1302, 1303, 2277], "exact": [2185, 2210], "exampl": [2, 3, 2193, 2195, 2199], "exce": 2289, "excel": [17, 22, 35, 2174, 2184, 2199, 2207, 2228, 2235], "excelfil": [337, 338, 339, 340, 2199], "excelwrit": [341, 2294], "except": [2, 2182, 2231], "exclud": 2241, "exclus": 2195, "exercis": 35, "exist": [27, 2271], "expand": [122, 697, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 2183, 2212, 2222, 2240, 2241, 2265, 2289], "experiment": [2214, 2217, 2218, 2219, 2220, 2221, 2241, 2265, 2277], "explod": [123, 698, 876, 2204, 2249], "exponenti": [2183, 2212], "exponentialmovingwindow": [1298, 1299, 1300, 1301, 1302, 1303], "export": [16, 17, 19, 1402, 2181, 2184, 2207], "express": [2193, 2201], "extend": [3, 10, 2241, 2265], "extens": [6, 8, 10, 1031, 1032, 1033, 1034, 1035, 1036, 1037, 1038, 1039, 1040, 1041, 1042, 1043, 1044, 1045, 1046, 1047, 1048, 1049, 1050, 1051, 1052, 1053, 1054, 1055, 1056, 1057, 1058, 1059, 1060, 1061, 1062, 1063, 1064, 1065, 1066, 1067, 1068, 1069, 1070, 1071, 1072, 2168, 2193, 2207, 2235, 2246, 2265, 2302], "extensionarrai": [10, 1031, 1032, 1033, 1034, 1035, 1036, 1037, 1038, 1039, 1040, 1041, 1042, 1043, 1044, 1045, 1046, 1047, 1048, 1049, 1050, 1051, 1052, 1053, 1054, 1055, 1056, 1057, 1058, 1059, 1060, 1061, 1062, 1063, 1064, 1065, 1066, 1067, 2249, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302], "extensiondtyp": [10, 1068], "extern": [16, 17, 19, 2207], "extra": 2298, "extract": [16, 17, 19, 828, 2208, 2230, 2241], "extractal": [829, 2208, 2230], "factor": [15, 376, 699, 1051, 1388, 2188, 2195, 2204], "fail": [2197, 2271], "fallback": 2199, "fals": [2241, 2271, 2283], "fanci": 2210, "faq": [6, 2185, 2194], "fast": 2197, "favour": 2307, "feather": [2174, 2199], "featur": [1, 2195, 2214, 2215, 2217, 2222, 2225, 2227, 2228, 2229, 2230, 2231, 2232, 2235, 2238, 2239, 2241, 2253, 2254, 2255, 2256, 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265], "februari": [2219, 2247, 2257, 2258, 2266, 2279, 2290, 2308], "ffill": [124, 700, 1166, 1223, 1274, 2249], "field": [877, 2235], "file": [2, 17, 22, 2174, 2199, 2214, 2228, 2235, 2238, 2277, 2283, 2294], "filesystem": 2271, "fill": [16, 17, 19, 2186, 2201, 2210, 2241], "fill_valu": 811, "fillna": [125, 377, 701, 1052, 1167, 1224, 1275], "filter": [15, 16, 17, 19, 25, 126, 702, 1168, 1225, 2195, 2199], "filtrat": [2195, 2298], "final": 2199, "find": [1, 16, 17, 19, 830], "findal": 831, "fine": 2232, "finer": 2207, "first": [127, 703, 1169, 1226, 1276, 2195, 2208, 2249, 2271], "first_valid_index": [128, 704], "fix": [2199, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2241, 2242, 2243, 2245, 2246, 2247, 2248, 2249, 2250, 2251, 2252, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, 2310], "fixedforwardwindowindex": 1074, "flag": [342, 705, 2169, 2180], "flat": 2174, "flatten": 736, "flexibl": [2186, 2195, 2232], "float": [2167, 2199, 2230, 2235, 2277, 2283, 2298], "float32dtyp": 343, "float64dtyp": 344, "float64index": [2218, 2289], "floatindex": 2230, "floatingarrai": 1123, "floor": [296, 652, 922, 943, 970], "floordiv": [129, 706], "fold": [971, 2210, 2271], "follow": 2307, "fork": [1, 6], "format": [9, 29, 1394, 1395, 1396, 1397, 1398, 1399, 1400, 1401, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1412, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 2170, 2177, 2199, 2202, 2207, 2210, 2211, 2219, 2229, 2230, 2235, 2238, 2249, 2271, 2298], "format_index": 1404, "formatt": 2211, "forward": [16, 19, 2210], "frame": [2271, 2283], "freq": [297, 520, 539, 550, 653, 2249], "freqstr": [298, 521, 551, 1508, 1526, 1544, 1562, 1581, 1602, 1622, 1639, 1660, 1681, 1702, 1723, 1743, 1761, 1778, 1795, 1817, 1842, 1859, 1879, 1897, 1915, 1932, 1949, 1967, 1984, 2002, 2021, 2039, 2057, 2075, 2092, 2110, 2129, 2147], "frequenc": [31, 1502, 2176, 2209, 2210, 2228], "frequent": [2194, 2202], "from": [16, 17, 19, 21, 22, 25, 27, 30, 2170, 2186, 2191, 2199, 2210, 2235, 2241, 2246, 2249, 2265, 2294], "from_arrai": [462, 485, 1128], "from_break": [463, 1129], "from_cod": 44, "from_coo": 812, "from_custom_templ": 1405, "from_datafram": 1077, "from_dict": [130, 2289], "from_dummi": [1389, 2204, 2294], "from_field": 552, "from_fram": 486, "from_ordin": 553, "from_product": 487, "from_rang": 569, "from_record": 131, "from_spmatrix": 237, "from_tupl": [464, 488, 1130], "fromordin": 972, "fromtimestamp": 973, "fsspec": [2271, 2277], "full": 18, "fullmatch": 832, "fun": 2207, "function": [10, 16, 17, 18, 19, 2169, 2170, 2171, 2179, 2180, 2182, 2183, 2184, 2186, 2191, 2193, 2194, 2195, 2199, 2203, 2207, 2210, 2212, 2228, 2230, 2231, 2232, 2238, 2239, 2241, 2246, 2289], "fy5253": [1793, 1794, 1795, 1796, 1797, 1798, 1799, 1800, 1801, 1802, 1803, 1804, 1805, 1806, 1807, 1808, 1809, 1810, 1811, 1812, 1813, 1814, 2176], "fy5253quart": [1815, 1816, 1817, 1818, 1819, 1820, 1821, 1822, 1823, 1824, 1825, 1826, 1827, 1828, 1829, 1830, 1831, 1832, 1833, 1834, 1835, 1836, 1837, 1838, 2176], "gain": [2235, 2241], "gdataframegroupbi": 2283, "ge": [132, 707], "gener": [3, 16, 17, 19, 2170, 2185, 2186, 2199, 2209, 2210, 2211], "get": [1, 3, 21, 33, 34, 133, 347, 708, 833, 2188, 2197, 2202], "get_dummi": [834, 1390, 2204, 2232, 2241, 2246], "get_group": [1170, 1227, 1277], "get_index": [378, 465, 489, 2271], "get_indexer_for": 379, "get_indexer_non_uniqu": 380, "get_level_valu": [381, 490], "get_loc": [382, 466, 491, 493], "get_loc_level": 492, "get_opt": 1391, "get_rule_code_suffix": [1796, 1818], "get_slice_bound": 383, "get_week": 1819, "get_year_end": 1797, "getitem": 2184, "gh": 2295, "gil": 2228, "git": 1, "github": [0, 1, 6], "gitpod": [5, 6], "googl": [2174, 2199, 2228, 2232, 2235], "gotcha": [2184, 2186, 2188, 2199, 2216], "govern": 34, "gradient": 2207, "grain": 2232, "group": [15, 16, 18, 19, 28, 348, 1171, 1228, 1278, 2184, 2195, 2210, 2240, 2249, 2283, 2294], "group_kei": [2195, 2294], "groupbi": [16, 19, 134, 709, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 2169, 2171, 2180, 2195, 2220, 2231, 2232, 2235, 2236, 2238, 2239, 2241, 2246, 2249, 2250, 2251, 2252, 2265, 2271, 2277, 2283, 2289, 2294, 2295, 2298, 2302, 2307], "grouper": [345, 2195, 2271, 2295], "gt": [135, 710], "guess_datetime_format": 1501, "guid": [3, 2196], "guidelin": 2, "ha": [2232, 2235, 2241, 2298], "handl": [17, 22, 23, 31, 2169, 2180, 2195, 2199, 2210, 2222, 2228, 2235, 2238, 2241, 2246, 2271, 2277], "has_dupl": 384, "hash": 2170, "hash_arrai": 2164, "hash_pandas_object": 2165, "hasnan": [385, 711], "have": [2238, 2241, 2289, 2298], "hdf5": [2174, 2199, 2235], "hdfstore": [346, 347, 348, 349, 350, 351, 352, 353, 2174, 2215, 2218, 2228, 2235], "head": [136, 712, 1172, 1229, 2186], "header": [2207, 2228, 2283], "helper": 2171, "hernan": 35, "hexagon": 2211, "hexbin": 192, "hide": [1406, 2207], "hierarch": [2185, 2199], "hierarchi": 2207, "highlight": 2207, "highlight_between": 1407, "highlight_max": 1408, "highlight_min": 1409, "highlight_nul": 1410, "highlight_quantil": 1411, "hint": 2, "hist": [137, 193, 713, 768, 1173, 1230], "histogram": [2186, 2211], "hoc": 2197, "hold": [2289, 2298], "holidai": [1582, 1603, 1661, 1682, 1703, 1724, 2210], "honor": 2283, "hour": [299, 522, 554, 654, 974, 1839, 1840, 1841, 1842, 1843, 1844, 1845, 1846, 1847, 1848, 1849, 1850, 1851, 1852, 1853, 1854, 1855, 1856, 2176, 2210, 2231], "how": [4, 6, 24, 25, 26, 27, 28, 29, 30, 31, 32, 2190, 2196, 2246], "html": [22, 2174, 2199, 2207, 2229], "http": 2283, "hypothesi": 2, "i": [6, 23, 24, 25, 26, 2188, 2191, 2203, 2232, 2235, 2238, 2246, 2249, 2277, 2283, 2289, 2294, 2298, 2302, 2307, 2309, 2310], "iat": [138, 714], "id": 2207, "ident": 386, "identifi": 30, "idiom": 2, "idxmax": [139, 715, 1174, 1231], "idxmin": [140, 716, 1175, 1232], "ignor": [2199, 2200, 2289], "iloc": [141, 717, 2231, 2283, 2294], "implement": [2294, 2302], "implicit": 2199, "import": [2170, 2181, 2184], "importerror": 22, "improv": [2222, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2238, 2239, 2241, 2242, 2246, 2249, 2256, 2257, 2258, 2259, 2261, 2262, 2265, 2271, 2277, 2283, 2286, 2289, 2294, 2298, 2302, 2307], "inclus": 2185, "incompat": [2222, 2225, 2228, 2230, 2235, 2238, 2240, 2241, 2246, 2249, 2265, 2271, 2283, 2289, 2294, 2298, 2302], "incompatibilitywarn": 1357, "inconsist": 2289, "increas": [2238, 2241, 2246, 2249, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "index": [9, 12, 16, 17, 19, 31, 142, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 718, 835, 1073, 1074, 1075, 1076, 2169, 2171, 2173, 2179, 2180, 2183, 2184, 2185, 2186, 2187, 2188, 2191, 2195, 2197, 2199, 2200, 2207, 2208, 2210, 2218, 2220, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2236, 2237, 2238, 2239, 2241, 2246, 2247, 2249, 2250, 2251, 2257, 2261, 2265, 2267, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "indexer_at_tim": 300, "indexer_between_tim": 301, "indexingerror": 1358, "indexslic": 440, "indic": [1176, 1233, 1279, 2200, 2208], "inf": 2241, "infer": [2199, 2265], "infer_dtyp": 1078, "infer_freq": 1392, "infer_object": [143, 719, 2238], "inferred_freq": [302, 944], "inferred_typ": 387, "infin": 2199, "info": [144, 349, 2265], "inner": [18, 2235], "inplac": [2283, 2294], "input": [16, 17, 19, 2174], "insert": [145, 388, 1053, 2199, 2201, 2241], "instal": [5, 6, 21, 22, 2298], "instanc": 2210, "instanti": 2241, "instead": [2207, 2265, 2298], "institut": 34, "int16dtyp": 441, "int32": 2289, "int32dtyp": 442, "int64": 2232, "int64dtyp": 443, "int64index": [2289, 2294], "int8dtyp": 444, "intcastingnanerror": 1359, "integ": [2167, 2185, 2194, 2198, 2230, 2232, 2246, 2257, 2271, 2294], "integerarrai": [1124, 2265], "integr": [2, 6, 2203, 2238], "interact": [2206, 2225], "interchang": [1077, 2294], "intern": [12, 2199, 2218, 2222], "interop": 16, "interoper": 2191, "interpol": [146, 720, 1054, 1280, 2201, 2241], "interpret": 2271, "intersect": [389, 2235], "interv": [445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 2167, 2170, 2185, 2246, 2249, 2250, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "interval_rang": 1393, "intervalarrai": [1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 2265], "intervaldtyp": [457, 458], "intervalindex": [459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 2173, 2185, 2235, 2249], "intro": [21, 2191], "introspect": 2167, "invalid": 2210, "invalidcolumnnam": 1360, "invalidcomparison": 1361, "invalidindexerror": 1362, "invalidvers": 1363, "investig": 13, "involv": 2, "io": [1394, 1395, 1396, 1397, 1398, 1399, 1400, 1401, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1412, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436, 1437, 1438, 1439, 1440, 2169, 2180, 2199, 2217, 2222, 2235, 2236, 2237, 2238, 2239, 2241, 2246, 2249, 2250, 2251, 2265, 2271], "ipython": [2191, 2202], "is_": 390, "is_anchor": [1509, 1527, 1545, 1563, 1583, 1604, 1623, 1640, 1662, 1683, 1704, 1725, 1744, 1762, 1779, 1798, 1820, 1843, 1860, 1880, 1898, 1916, 1933, 1950, 1968, 1985, 2003, 2022, 2040, 2058, 2076, 2093, 2111, 2130, 2148], "is_any_real_numeric_dtyp": 1079, "is_bool": 1080, "is_bool_dtyp": 1081, "is_boolean": 391, "is_categor": 392, "is_categorical_dtyp": 1082, "is_complex": 1083, "is_complex_dtyp": 1084, "is_datetime64_any_dtyp": 1085, "is_datetime64_dtyp": 1086, "is_datetime64_ns_dtyp": 1087, "is_datetime64tz_dtyp": 1088, "is_dict_lik": 1089, "is_empti": [449, 467, 1131], "is_extension_array_dtyp": 1090, "is_file_lik": 1091, "is_float": [393, 1092], "is_float_dtyp": 1093, "is_hash": 1094, "is_int64_dtyp": 1095, "is_integ": [394, 1096], "is_integer_dtyp": 1097, "is_interv": [395, 1098], "is_interval_dtyp": 1099, "is_iter": 1100, "is_leap_year": [303, 523, 555, 655, 975], "is_list_lik": 1101, "is_monotonic_decreas": [396, 721, 1234], "is_monotonic_increas": [397, 722, 1235], "is_month_end": [304, 656, 976, 1510, 1528, 1546, 1564, 1584, 1605, 1624, 1641, 1663, 1684, 1705, 1726, 1745, 1763, 1780, 1799, 1821, 1844, 1861, 1881, 1899, 1917, 1934, 1951, 1969, 1986, 2004, 2023, 2041, 2059, 2077, 2094, 2112, 2131, 2149], "is_month_start": [305, 657, 977, 1511, 1529, 1547, 1565, 1585, 1606, 1625, 1642, 1664, 1685, 1706, 1727, 1746, 1764, 1781, 1800, 1822, 1845, 1862, 1882, 1900, 1918, 1935, 1952, 1970, 1987, 2005, 2024, 2042, 2060, 2078, 2095, 2113, 2132, 2150], "is_named_tupl": 1102, "is_non_overlapping_monoton": [468, 1132], "is_numb": 1103, "is_numer": 398, "is_numeric_dtyp": 1104, "is_object": 399, "is_object_dtyp": 1105, "is_on_offset": [1512, 1530, 1548, 1566, 1586, 1607, 1626, 1643, 1665, 1686, 1707, 1728, 1747, 1765, 1782, 1801, 1823, 1846, 1863, 1883, 1901, 1919, 1936, 1953, 1971, 1988, 2006, 2025, 2043, 2061, 2079, 2096, 2114, 2133, 2151], "is_overlap": 469, "is_period_dtyp": 1106, "is_quarter_end": [306, 658, 978, 1513, 1531, 1549, 1567, 1587, 1608, 1627, 1644, 1666, 1687, 1708, 1729, 1748, 1766, 1783, 1802, 1824, 1847, 1864, 1884, 1902, 1920, 1937, 1954, 1972, 1989, 2007, 2026, 2044, 2062, 2080, 2097, 2115, 2134, 2152], "is_quarter_start": [307, 659, 979, 1514, 1532, 1550, 1568, 1588, 1609, 1628, 1645, 1667, 1688, 1709, 1730, 1749, 1767, 1784, 1803, 1825, 1848, 1865, 1885, 1903, 1921, 1938, 1955, 1973, 1990, 2008, 2027, 2045, 2063, 2081, 2098, 2116, 2135, 2153], "is_r": 1107, "is_re_compil": 1108, "is_scalar": 1109, "is_signed_integer_dtyp": 1110, "is_spars": 1111, "is_string_dtyp": 1112, "is_timedelta64_dtyp": 1113, "is_timedelta64_ns_dtyp": 1114, "is_uniqu": [400, 723], "is_unsigned_integer_dtyp": 1115, "is_year_end": [308, 660, 980, 1515, 1533, 1551, 1569, 1589, 1610, 1629, 1646, 1668, 1689, 1710, 1731, 1750, 1768, 1785, 1804, 1826, 1849, 1866, 1886, 1904, 1922, 1939, 1956, 1974, 1991, 2009, 2028, 2046, 2064, 2082, 2099, 2117, 2136, 2154], "is_year_start": [309, 661, 981, 1516, 1534, 1552, 1570, 1590, 1611, 1630, 1647, 1669, 1690, 1711, 1732, 1751, 1769, 1786, 1805, 1827, 1850, 1867, 1887, 1905, 1923, 1940, 1957, 1975, 1992, 2010, 2029, 2047, 2065, 2083, 2100, 2118, 2137, 2155], "isalnum": 836, "isalpha": 837, "isdecim": 838, "isdigit": 839, "isin": [147, 401, 724, 1055, 2197], "islow": 840, "isna": [148, 402, 725, 1056, 1441], "isnul": [149, 726, 1442], "isnumer": 841, "iso_d": 2294, "isocalendar": [662, 982], "isoformat": [923, 983], "isol": 5, "isoweekdai": 984, "isspac": 842, "issu": [0, 1, 13, 2194, 2220, 2261], "istitl": 843, "isupp": 844, "item": [150, 403, 727, 728, 2186, 2195, 2238], "iter": [2167, 2169, 2171, 2179, 2180, 2186, 2195, 2199, 2210, 2238], "iterpars": 2294, "iterrow": [151, 2186], "itertupl": [152, 2186], "ix": [2231, 2235], "januari": [2215, 2218, 2246, 2265, 2278, 2289, 2297, 2307], "jit": 2193, "join": [18, 30, 153, 404, 845, 2169, 2173, 2180, 2184, 2200, 2232, 2235, 2241, 2246, 2307], "joy": 35, "json": [1436, 2174, 2199, 2241, 2249, 2283], "json_norm": 1443, "juli": [2217, 2221, 2237, 2243, 2244, 2249, 2262, 2271, 2283, 2284], "julia": 35, "june": [2227, 2236, 2242, 2261, 2270, 2282, 2292, 2301], "kde": [194, 769], "keep": [16, 17, 19], "kei": [154, 350, 729, 2199, 2200, 2271, 2283], "kept": 6, "keyerror": 2271, "keyword": [2235, 2238, 2241], "kind": 23, "kleen": 2187, "known": 2220, "kurt": [155, 730, 1309, 1326], "kurtosi": [156, 731], "kwarg": 2241, "kwd": [1517, 1535, 1553, 1571, 1591, 1612, 1631, 1648, 1670, 1691, 1712, 1733, 1752, 1770, 1787, 1806, 1828, 1851, 1868, 1888, 1906, 1924, 1941, 1958, 1976, 1993, 2011, 2030, 2048, 2066, 2084, 2101, 2119, 2138, 2156], "label": [2169, 2180, 2184, 2185, 2186, 2191, 2192, 2197, 2211, 2238, 2249, 2257, 2271, 2277, 2294], "lag": [2210, 2211], "lag_plot": 1460, "lambda": 2249, "larg": [2205, 2294], "largest": 2186, "last": [157, 732, 1177, 1236, 1281], "last_valid_index": [158, 733], "lastweekofmonth": [1857, 1858, 1859, 1860, 1861, 1862, 1863, 1864, 1865, 1866, 1867, 1868, 1869, 1870, 1871, 1872, 1873, 1874, 1875, 2176], "latex": [2174, 2199, 2207, 2230, 2298], "layout": [29, 2211], "le": [159, 734], "learn": 35, "left": [18, 450, 470, 1133, 2235], "legend": 2211, "len": [737, 846], "length": [16, 17, 19, 451, 471, 1134], "less": 2205, "level": [494, 2170, 2185, 2195, 2200, 2204, 2238, 2241, 2246, 2249, 2265, 2283, 2307], "levshap": 495, "librari": [15, 2170, 2205, 2235, 2298], "licens": 34, "like": [2186, 2191, 2194, 2197, 2208, 2238, 2249, 2277, 2283, 2302], "limit": [16, 17, 18, 19, 2186, 2193, 2201, 2207, 2209, 2210, 2289], "limit_area": 2241, "line": [195, 770, 2199], "line_termin": 2246, "linesep": 2246, "link": 2207, "list": [0, 735, 736, 737, 2180, 2191, 2197, 2208, 2238, 2249, 2307], "liveserv": 6, "ljust": 847, "load": 2205, "loader": 1412, "loc": [160, 738, 2231, 2271, 2283, 2294], "local": [8, 2193, 2210, 2238], "locat": 2199, "logic": [16, 17, 19, 2187, 2200, 2201, 2232, 2243], "long": [6, 29], "longer": [2232, 2241, 2249, 2283, 2289, 2307], "look": 2197, "lookup": 2271, "lossi": 2298, "lossysetitemerror": 1364, "lost": 2271, "lower": 848, "lreshap": 1444, "lstrip": 849, "lt": [161, 739], "lzma": 2250, "m": [6, 2307], "m_offset": [1713, 1734], "machin": 13, "magnifi": 2207, "mai": [2220, 2226, 2231, 2235, 2241, 2269, 2300], "mail": 0, "main": 4, "maintain": [13, 2283], "mainten": 13, "make": [1, 2194, 2241], "mamba": 5, "mangle_dupe_col": 2289, "mani": 2208, "manipul": [32, 2169, 2170, 2180], "map": [56, 162, 405, 740, 1413, 2186, 2235, 2302], "map_index": 1414, "march": [2225, 2230, 2248, 2259, 2267, 2268, 2280], "margin": 2204, "markdown": 2265, "mask": [163, 741, 2197, 2199, 2231], "match": [15, 850, 2185, 2186, 2208, 2210, 2241], "math": 2228, "matplotlib": [2211, 2238, 2239], "matrix": [2211, 2235], "matter": 2197, "max": [164, 406, 742, 924, 985, 1178, 1237, 1282, 1310, 1327, 2186, 2207], "max_level": 2249, "me": 2307, "mean": [165, 310, 743, 945, 1179, 1238, 1283, 1300, 1311, 1328, 1338, 2283], "median": [166, 744, 1180, 1239, 1284, 1312, 1329, 2283], "meet": 0, "melt": [167, 1445, 2204], "meltarrai": 15, "meltdf": 15, "meltlist": 15, "memori": [16, 19, 2188, 2194, 2199, 2222, 2235], "memory_usag": [168, 407, 745], "merg": [13, 16, 17, 19, 169, 1446, 2169, 2180, 2184, 2188, 2200, 2232, 2241, 2271, 2307], "merge_asof": [1447, 2200, 2232], "merge_ord": [1448, 2200], "mergeerror": 1365, "messag": 2289, "metadata": [9, 2169, 2180, 2197, 2294, 2298, 2302], "method": [2167, 2173, 2176, 2180, 2184, 2185, 2186, 2191, 2193, 2194, 2195, 2197, 2199, 2207, 2208, 2210, 2225, 2226, 2228, 2230, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2261, 2265, 2271, 2283, 2302], "micro": [1876, 1877, 1878, 1879, 1880, 1881, 1882, 1883, 1884, 1885, 1886, 1887, 1888, 1889, 1890, 1891, 1892, 1893, 2176], "microsecond": [311, 663, 664, 925, 946, 986], "mid": [452, 472, 1135], "migrat": 2190, "milli": [1894, 1895, 1896, 1897, 1898, 1899, 1900, 1901, 1902, 1903, 1904, 1905, 1906, 1907, 1908, 1909, 1910, 1911, 2176], "min": [170, 408, 746, 926, 987, 1181, 1240, 1285, 1313, 1330, 2186, 2207, 2265], "miniconda": 22, "minimum": [2238, 2241, 2246, 2249, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "minut": [312, 524, 556, 665, 988, 1912, 1913, 1914, 1915, 1916, 1917, 1918, 1919, 1920, 1921, 1922, 1923, 1924, 1925, 1926, 1927, 1928, 1929, 2176, 2184], "miscellan": 2185, "miss": [16, 19, 2169, 2170, 2173, 2175, 2180, 2184, 2186, 2188, 2194, 2197, 2199, 2201, 2204, 2211, 2238, 2246, 2249, 2250, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "mix": [2199, 2246, 2302], "mod": [171, 747, 2241], "mode": [172, 748, 2186, 2289], "modern": 35, "modifi": 2173, "modul": [2222, 2235], "molin": 35, "moment": 2222, "monoton": [2185, 2271], "month": [313, 525, 557, 666, 989, 1554, 1572, 2139, 2157, 2232], "month_nam": [314, 667, 990], "monthbegin": [1930, 1931, 1932, 1933, 1934, 1935, 1936, 1937, 1938, 1939, 1940, 1941, 1942, 1943, 1944, 1945, 1946, 2176], "monthend": [1947, 1948, 1949, 1950, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1959, 1960, 1961, 1962, 1963, 2176], "more": [34, 2207, 2235, 2307], "move": 2235, "msgpack": [2199, 2230, 2249], "mul": [173, 749], "multi": [2188, 2195, 2220, 2246, 2289], "multiindex": [12, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 2173, 2185, 2186, 2195, 2197, 2199, 2200, 2228, 2231, 2232, 2235, 2238, 2241, 2246, 2249, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "multipl": [30, 2186, 2195, 2199, 2200, 2204, 2210, 2211, 2249, 2271], "mung": 2188, "mutabl": 34, "mutat": 2194, "my": 6, "n": [18, 1518, 1536, 1555, 1573, 1592, 1613, 1632, 1649, 1671, 1692, 1714, 1735, 1753, 1771, 1788, 1807, 1829, 1852, 1869, 1889, 1907, 1925, 1942, 1959, 1977, 1994, 2012, 2031, 2049, 2067, 2085, 2102, 2120, 2140, 2158, 2199, 2214, 2230], "na": [507, 2187, 2194, 2195, 2198, 2199, 2201, 2238, 2246, 2260, 2265, 2271, 2289, 2292], "naiv": 2294, "name": [409, 410, 496, 750, 1519, 1537, 1556, 1574, 1593, 1614, 1633, 1650, 1672, 1693, 1715, 1736, 1754, 1772, 1789, 1808, 1830, 1853, 1870, 1890, 1908, 1926, 1943, 1960, 1978, 1995, 2013, 2032, 2050, 2068, 2086, 2103, 2121, 2141, 2159, 2185, 2191, 2195, 2199, 2232, 2238, 2246, 2265, 2277, 2289, 2298], "namedagg": 509, "namedtupl": 2191, "nan": [2194, 2238, 2241, 2246, 2265, 2289], "nano": [1520, 1538, 1557, 1575, 1594, 1615, 1634, 1651, 1673, 1694, 1716, 1737, 1755, 1773, 1790, 1809, 1831, 1854, 1871, 1891, 1909, 1927, 1944, 1961, 1964, 1965, 1966, 1967, 1968, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1976, 1977, 1978, 1979, 1980, 1981, 1996, 2014, 2033, 2051, 2069, 2087, 2104, 2122, 2142, 2160, 2176], "nanosecond": [315, 668, 669, 927, 947, 991], "nat": [508, 2230, 2232], "nativ": 2294, "nbyte": [411, 751, 1057], "ndarrai": [2191, 2193], "ndim": [174, 412, 752, 1058], "ne": [175, 753], "nearest": 1286, "netcdf": 2199, "network": 2, "never": 2283, "new": [0, 27, 35, 2188, 2191, 2214, 2215, 2222, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2241, 2242, 2243, 2244, 2245, 2246, 2247, 2248, 2249, 2250, 2251, 2252, 2253, 2254, 2255, 2256, 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, 2310], "ngroup": [1182, 1241], "nlargest": [176, 754, 1242], "nlevel": 497, "nobufferpres": 1366, "non": [2185, 2195, 2261, 2271, 2278, 2294, 2298], "none": 2228, "nonexist": 2210, "normal": [316, 670, 851, 992, 1521, 1539, 1558, 1576, 1595, 1616, 1635, 1652, 1674, 1695, 1717, 1738, 1756, 1774, 1791, 1810, 1832, 1855, 1872, 1892, 1910, 1928, 1945, 1962, 1980, 1997, 2015, 2034, 2052, 2070, 2088, 2105, 2123, 2143, 2161, 2199, 2204, 2246, 2249], "notabl": [2271, 2277, 2283, 2289, 2294, 2298, 2307], "note": [3, 2199, 2213], "notna": [177, 413, 755, 1449], "notnul": [178, 756, 1450], "novemb": [2223, 2229, 2233, 2255, 2264, 2296, 2305], "now": [526, 993, 2230, 2232, 2235, 2238, 2241, 2249, 2265, 2271, 2283, 2294, 2298, 2307, 2309, 2310], "np": [2194, 2246, 2265], "npoint": 813, "nsmallest": [179, 757, 1243], "nth": [16, 17, 19, 1183, 1244, 2195, 2231, 2298], "nuisanc": 2283, "null": [2207, 2289], "nullabl": [2167, 2187, 2198, 2267, 2277, 2298, 2307], "nullfrequencyerror": 1367, "numba": [2193, 2195, 2212, 2265], "numbautilerror": 1369, "number": [28, 2202], "numer": [2170, 2173, 2177, 2195, 2235, 2236, 2238, 2239, 2241, 2246, 2249, 2250, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "numeric_onli": 2294, "numexpr": 2193, "numexprclobberingerror": 1368, "numpi": [10, 2188, 2190, 2191, 2194, 2197, 2201, 2231, 2232, 2246, 2261, 2278, 2298, 2302, 2307, 2309], "numpyextensionarrai": 1140, "nuniqu": [180, 414, 758, 1184, 1245, 1287], "o": [2203, 2246, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "object": [9, 30, 2167, 2173, 2184, 2185, 2186, 2188, 2195, 2197, 2199, 2207, 2208, 2210, 2232, 2238, 2249, 2298, 2302], "observ": [2195, 2241, 2294], "octob": [2222, 2228, 2232, 2238, 2251, 2252, 2253, 2254, 2263, 2274, 2275, 2287, 2295, 2304], "od": 2199, "offset": [18, 1503, 1504, 1505, 1506, 1507, 1508, 1509, 1510, 1511, 1512, 1513, 1514, 1515, 1516, 1517, 1518, 1519, 1520, 1521, 1522, 1523, 1524, 1525, 1526, 1527, 1528, 1529, 1530, 1531, 1532, 1533, 1534, 1535, 1536, 1537, 1538, 1539, 1540, 1541, 1542, 1543, 1544, 1545, 1546, 1547, 1548, 1549, 1550, 1551, 1552, 1553, 1554, 1555, 1556, 1557, 1558, 1559, 1560, 1561, 1562, 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1571, 1572, 1573, 1574, 1575, 1576, 1577, 1578, 1579, 1580, 1581, 1582, 1583, 1584, 1585, 1586, 1587, 1588, 1589, 1590, 1591, 1592, 1593, 1594, 1595, 1596, 1597, 1598, 1599, 1600, 1601, 1602, 1603, 1604, 1605, 1606, 1607, 1608, 1609, 1610, 1611, 1612, 1613, 1614, 1615, 1616, 1617, 1618, 1619, 1620, 1621, 1622, 1623, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1631, 1632, 1633, 1634, 1635, 1636, 1637, 1638, 1639, 1640, 1641, 1642, 1643, 1644, 1645, 1646, 1647, 1648, 1649, 1650, 1651, 1652, 1653, 1654, 1655, 1656, 1657, 1658, 1659, 1660, 1661, 1662, 1663, 1664, 1665, 1666, 1667, 1668, 1669, 1670, 1671, 1672, 1673, 1674, 1675, 1676, 1677, 1678, 1679, 1680, 1681, 1682, 1683, 1684, 1685, 1686, 1687, 1688, 1689, 1690, 1691, 1692, 1693, 1694, 1695, 1696, 1697, 1698, 1699, 1700, 1701, 1702, 1703, 1704, 1705, 1706, 1707, 1708, 1709, 1710, 1711, 1712, 1713, 1714, 1715, 1716, 1717, 1718, 1719, 1720, 1721, 1722, 1723, 1724, 1725, 1726, 1727, 1728, 1729, 1730, 1731, 1732, 1733, 1734, 1735, 1736, 1737, 1738, 1739, 1740, 1741, 1742, 1743, 1744, 1745, 1746, 1747, 1748, 1749, 1750, 1751, 1752, 1753, 1754, 1755, 1756, 1757, 1758, 1759, 1760, 1761, 1762, 1763, 1764, 1765, 1766, 1767, 1768, 1769, 1770, 1771, 1772, 1773, 1774, 1775, 1776, 1777, 1778, 1779, 1780, 1781, 1782, 1783, 1784, 1785, 1786, 1787, 1788, 1789, 1790, 1791, 1792, 1793, 1794, 1795, 1796, 1797, 1798, 1799, 1800, 1801, 1802, 1803, 1804, 1805, 1806, 1807, 1808, 1809, 1810, 1811, 1812, 1813, 1814, 1815, 1816, 1817, 1818, 1819, 1820, 1821, 1822, 1823, 1824, 1825, 1826, 1827, 1828, 1829, 1830, 1831, 1832, 1833, 1834, 1835, 1836, 1837, 1838, 1839, 1840, 1841, 1842, 1843, 1844, 1845, 1846, 1847, 1848, 1849, 1850, 1851, 1852, 1853, 1854, 1855, 1856, 1857, 1858, 1859, 1860, 1861, 1862, 1863, 1864, 1865, 1866, 1867, 1868, 1869, 1870, 1871, 1872, 1873, 1874, 1875, 1876, 1877, 1878, 1879, 1880, 1881, 1882, 1883, 1884, 1885, 1886, 1887, 1888, 1889, 1890, 1891, 1892, 1893, 1894, 1895, 1896, 1897, 1898, 1899, 1900, 1901, 1902, 1903, 1904, 1905, 1906, 1907, 1908, 1909, 1910, 1911, 1912, 1913, 1914, 1915, 1916, 1917, 1918, 1919, 1920, 1921, 1922, 1923, 1924, 1925, 1926, 1927, 1928, 1929, 1930, 1931, 1932, 1933, 1934, 1935, 1936, 1937, 1938, 1939, 1940, 1941, 1942, 1943, 1944, 1945, 1946, 1947, 1948, 1949, 1950, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1959, 1960, 1961, 1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1976, 1977, 1978, 1979, 1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026, 2027, 2028, 2029, 2030, 2031, 2032, 2033, 2034, 2035, 2036, 2037, 2038, 2039, 2040, 2041, 2042, 2043, 2044, 2045, 2046, 2047, 2048, 2049, 2050, 2051, 2052, 2053, 2054, 2055, 2056, 2057, 2058, 2059, 2060, 2061, 2062, 2063, 2064, 2065, 2066, 2067, 2068, 2069, 2070, 2071, 2072, 2073, 2074, 2075, 2076, 2077, 2078, 2079, 2080, 2081, 2082, 2083, 2084, 2085, 2086, 2087, 2088, 2089, 2090, 2091, 2092, 2093, 2094, 2095, 2096, 2097, 2098, 2099, 2100, 2101, 2102, 2103, 2104, 2105, 2106, 2107, 2108, 2109, 2110, 2111, 2112, 2113, 2114, 2115, 2116, 2117, 2118, 2119, 2120, 2121, 2122, 2123, 2124, 2125, 2126, 2127, 2128, 2129, 2130, 2131, 2132, 2133, 2134, 2135, 2136, 2137, 2138, 2139, 2140, 2141, 2142, 2143, 2144, 2145, 2146, 2147, 2148, 2149, 2150, 2151, 2152, 2153, 2154, 2155, 2156, 2157, 2158, 2159, 2160, 2161, 2162, 2176, 2210, 2232, 2241, 2246, 2249, 2271, 2298, 2307], "ohlc": [1185, 1246, 1288], "old": 13, "onc": [2195, 2249, 2271], "one": [34, 2265, 2307], "onli": [2190, 2249, 2265, 2271], "open_left": 453, "open_right": 454, "opendocu": 2199, "oper": [10, 16, 17, 18, 19, 2169, 2173, 2180, 2184, 2186, 2187, 2188, 2191, 2194, 2195, 2197, 2198, 2201, 2203, 2209, 2210, 2212, 2230, 2231, 2232, 2235, 2240, 2246, 2247, 2257, 2265, 2277, 2283, 2294, 2302], "optim": [2190, 2207], "option": [2, 5, 6, 22, 2177, 2199, 2202, 2228, 2246, 2277, 2289, 2298], "option_context": 1451, "optionerror": 1370, "orc": [2174, 2199, 2294], "order": [45, 48, 57, 610, 2188, 2194, 2195, 2197, 2235, 2241, 2249, 2271], "ordin": 527, "orient": [2199, 2241, 2246], "origin": [10, 2188, 2210, 2235, 2271, 2283], "other": [16, 17, 19, 20, 22, 2170, 2186, 2195, 2199, 2205, 2207, 2211, 2217, 2225, 2226, 2227, 2228, 2230, 2231, 2232, 2235, 2236, 2238, 2239, 2241, 2246, 2249, 2250, 2251, 2257, 2260, 2261, 2265, 2271, 2273, 2274, 2276, 2277, 2278, 2283, 2287, 2289, 2290, 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2307, 2308, 2309, 2310], "out": [2188, 2199, 2210], "outer": 18, "outofboundsdatetim": 1371, "outofboundstimedelta": 1372, "output": [16, 17, 19, 2174, 2207, 2219, 2235, 2241, 2265], "over": 2243, "overflow": 2298, "overlap": [455, 473, 1136, 2186, 2200], "overrid": 10, "overview": [34, 2202, 2210, 2212], "packag": 34, "pad": [181, 759, 852], "pairwis": 2212, "panda": [1, 2, 3, 4, 5, 6, 9, 10, 12, 13, 18, 21, 22, 23, 26, 31, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 959, 960, 961, 962, 963, 964, 965, 966, 967, 968, 969, 970, 971, 972, 973, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1014, 1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1024, 1025, 1026, 1027, 1028, 1029, 1030, 1031, 1032, 1033, 1034, 1035, 1036, 1037, 1038, 1039, 1040, 1041, 1042, 1043, 1044, 1045, 1046, 1047, 1048, 1049, 1050, 1051, 1052, 1053, 1054, 1055, 1056, 1057, 1058, 1059, 1060, 1061, 1062, 1063, 1064, 1065, 1066, 1067, 1068, 1069, 1070, 1071, 1072, 1073, 1074, 1075, 1076, 1077, 1078, 1079, 1080, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1092, 1093, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1349, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 1385, 1386, 1387, 1388, 1389, 1390, 1391, 1392, 1393, 1394, 1395, 1396, 1397, 1398, 1399, 1400, 1401, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1412, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436, 1437, 1438, 1439, 1440, 1441, 1442, 1443, 1444, 1445, 1446, 1447, 1448, 1449, 1450, 1451, 1452, 1453, 1454, 1455, 1456, 1457, 1458, 1459, 1460, 1461, 1462, 1463, 1464, 1465, 1466, 1467, 1468, 1469, 1470, 1471, 1472, 1473, 1474, 1475, 1476, 1477, 1478, 1479, 1480, 1481, 1482, 1483, 1484, 1485, 1486, 1487, 1488, 1489, 1490, 1491, 1492, 1493, 1494, 1495, 1496, 1497, 1498, 1499, 1500, 1501, 1502, 1503, 1504, 1505, 1506, 1507, 1508, 1509, 1510, 1511, 1512, 1513, 1514, 1515, 1516, 1517, 1518, 1519, 1520, 1521, 1522, 1523, 1524, 1525, 1526, 1527, 1528, 1529, 1530, 1531, 1532, 1533, 1534, 1535, 1536, 1537, 1538, 1539, 1540, 1541, 1542, 1543, 1544, 1545, 1546, 1547, 1548, 1549, 1550, 1551, 1552, 1553, 1554, 1555, 1556, 1557, 1558, 1559, 1560, 1561, 1562, 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1571, 1572, 1573, 1574, 1575, 1576, 1577, 1578, 1579, 1580, 1581, 1582, 1583, 1584, 1585, 1586, 1587, 1588, 1589, 1590, 1591, 1592, 1593, 1594, 1595, 1596, 1597, 1598, 1599, 1600, 1601, 1602, 1603, 1604, 1605, 1606, 1607, 1608, 1609, 1610, 1611, 1612, 1613, 1614, 1615, 1616, 1617, 1618, 1619, 1620, 1621, 1622, 1623, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1631, 1632, 1633, 1634, 1635, 1636, 1637, 1638, 1639, 1640, 1641, 1642, 1643, 1644, 1645, 1646, 1647, 1648, 1649, 1650, 1651, 1652, 1653, 1654, 1655, 1656, 1657, 1658, 1659, 1660, 1661, 1662, 1663, 1664, 1665, 1666, 1667, 1668, 1669, 1670, 1671, 1672, 1673, 1674, 1675, 1676, 1677, 1678, 1679, 1680, 1681, 1682, 1683, 1684, 1685, 1686, 1687, 1688, 1689, 1690, 1691, 1692, 1693, 1694, 1695, 1696, 1697, 1698, 1699, 1700, 1701, 1702, 1703, 1704, 1705, 1706, 1707, 1708, 1709, 1710, 1711, 1712, 1713, 1714, 1715, 1716, 1717, 1718, 1719, 1720, 1721, 1722, 1723, 1724, 1725, 1726, 1727, 1728, 1729, 1730, 1731, 1732, 1733, 1734, 1735, 1736, 1737, 1738, 1739, 1740, 1741, 1742, 1743, 1744, 1745, 1746, 1747, 1748, 1749, 1750, 1751, 1752, 1753, 1754, 1755, 1756, 1757, 1758, 1759, 1760, 1761, 1762, 1763, 1764, 1765, 1766, 1767, 1768, 1769, 1770, 1771, 1772, 1773, 1774, 1775, 1776, 1777, 1778, 1779, 1780, 1781, 1782, 1783, 1784, 1785, 1786, 1787, 1788, 1789, 1790, 1791, 1792, 1793, 1794, 1795, 1796, 1797, 1798, 1799, 1800, 1801, 1802, 1803, 1804, 1805, 1806, 1807, 1808, 1809, 1810, 1811, 1812, 1813, 1814, 1815, 1816, 1817, 1818, 1819, 1820, 1821, 1822, 1823, 1824, 1825, 1826, 1827, 1828, 1829, 1830, 1831, 1832, 1833, 1834, 1835, 1836, 1837, 1838, 1839, 1840, 1841, 1842, 1843, 1844, 1845, 1846, 1847, 1848, 1849, 1850, 1851, 1852, 1853, 1854, 1855, 1856, 1857, 1858, 1859, 1860, 1861, 1862, 1863, 1864, 1865, 1866, 1867, 1868, 1869, 1870, 1871, 1872, 1873, 1874, 1875, 1876, 1877, 1878, 1879, 1880, 1881, 1882, 1883, 1884, 1885, 1886, 1887, 1888, 1889, 1890, 1891, 1892, 1893, 1894, 1895, 1896, 1897, 1898, 1899, 1900, 1901, 1902, 1903, 1904, 1905, 1906, 1907, 1908, 1909, 1910, 1911, 1912, 1913, 1914, 1915, 1916, 1917, 1918, 1919, 1920, 1921, 1922, 1923, 1924, 1925, 1926, 1927, 1928, 1929, 1930, 1931, 1932, 1933, 1934, 1935, 1936, 1937, 1938, 1939, 1940, 1941, 1942, 1943, 1944, 1945, 1946, 1947, 1948, 1949, 1950, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1959, 1960, 1961, 1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1976, 1977, 1978, 1979, 1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026, 2027, 2028, 2029, 2030, 2031, 2032, 2033, 2034, 2035, 2036, 2037, 2038, 2039, 2040, 2041, 2042, 2043, 2044, 2045, 2046, 2047, 2048, 2049, 2050, 2051, 2052, 2053, 2054, 2055, 2056, 2057, 2058, 2059, 2060, 2061, 2062, 2063, 2064, 2065, 2066, 2067, 2068, 2069, 2070, 2071, 2072, 2073, 2074, 2075, 2076, 2077, 2078, 2079, 2080, 2081, 2082, 2083, 2084, 2085, 2086, 2087, 2088, 2089, 2090, 2091, 2092, 2093, 2094, 2095, 2096, 2097, 2098, 2099, 2100, 2101, 2102, 2103, 2104, 2105, 2106, 2107, 2108, 2109, 2110, 2111, 2112, 2113, 2114, 2115, 2116, 2117, 2118, 2119, 2120, 2121, 2122, 2123, 2124, 2125, 2126, 2127, 2128, 2129, 2130, 2131, 2132, 2133, 2134, 2135, 2136, 2137, 2138, 2139, 2140, 2141, 2142, 2143, 2144, 2145, 2146, 2147, 2148, 2149, 2150, 2151, 2152, 2153, 2154, 2155, 2156, 2157, 2158, 2159, 2160, 2161, 2162, 2163, 2164, 2165, 2166, 2167, 2184, 2193, 2194, 2197, 2232, 2235, 2241, 2246, 2261, 2265, 2294, 2302, 2307, 2309, 2310], "pandas_dtyp": 1116, "panel": [2214, 2235, 2241], "parallel": 2211, "parallel_coordin": 1461, "param": 2249, "paramet": [3, 2210, 2235, 2241, 2247], "parametr": 2210, "parquet": [9, 2174, 2184, 2199, 2238, 2239], "pars": [339, 2199, 2209, 2214, 2220, 2228, 2232, 2246, 2271, 2289, 2298, 2302], "parse_d": 2294, "parser": [2193, 2199, 2228], "parsererror": 1373, "parserwarn": 1374, "part": 2231, "parti": 10, "partial": [2210, 2231, 2235, 2271], "partit": [853, 2199], "partner": 34, "pass": [3, 2228, 2241, 2246, 2249, 2277], "pattern": [2190, 2208, 2241], "pct_chang": [182, 760, 1186, 1247], "pd": [2230, 2232, 2235, 2238], "per": 18, "perform": [2, 22, 2193, 2197, 2199, 2219, 2220, 2221, 2222, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2238, 2239, 2241, 2242, 2246, 2249, 2253, 2254, 2255, 2256, 2257, 2258, 2259, 2262, 2265, 2271, 2277, 2283, 2286, 2289, 2294, 2298, 2302, 2307], "performancewarn": 1375, "period": [510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 2167, 2180, 2210, 2228, 2232, 2246, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "period_rang": [1452, 2210], "periodarrai": 1141, "perioddtyp": [538, 539], "periodindex": [540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 2173, 2210, 2232, 2238, 2271], "pickl": [2174, 2199, 2235], "pie": [196, 771, 2211], "pip": [5, 2298], "pipe": [183, 761, 1187, 1248, 1289, 1415, 2195, 2227, 2238, 2246], "pivot": [17, 29, 184, 1453, 2184, 2204, 2235], "pivot_t": [185, 1454, 2204, 2289], "place": [16, 17, 18, 19, 2249], "placement": 2195, "plain": 2193, "plot": [3, 10, 26, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 1188, 1249, 1455, 1456, 1457, 1458, 1459, 1460, 1461, 1462, 1463, 1464, 1465, 1466, 2169, 2171, 2178, 2180, 2184, 2195, 2211, 2220, 2228, 2235, 2236, 2237, 2238, 2239, 2241, 2246, 2249, 2250, 2261, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "plot_param": 1462, "plyr": 15, "point": 2199, "polici": [14, 2265], "pop": [198, 772], "port": 2261, "posit": [16, 17, 19, 2184, 2197, 2265, 2277, 2289], "possibl": [2232, 2235], "possibledatalosserror": 1376, "possibleprecisionloss": 1377, "post": 13, "potenti": [2185, 2261], "pow": [199, 773], "practic": 35, "pre": [2, 13], "precis": [2228, 2277], "prefer": 2, "prerequisit": 13, "present": 2241, "preserv": [2232, 2235, 2241, 2249, 2271, 2277, 2283, 2302], "pretti": 2241, "preview": 4, "previou": [6, 16, 19, 2190, 2230], "print": [2214, 2241], "prior": [2218, 2219, 2220, 2222, 2225, 2228, 2230, 2232, 2235, 2238, 2241, 2246, 2249, 2265, 2298], "privaci": 2235, "process": [13, 16, 17, 19], "prod": [200, 774, 1189, 1250, 1290, 2238], "product": [201, 775], "progress": 2232, "project": 34, "promot": [2194, 2232], "propag": [2192, 2195, 2201], "proper": 2246, "properti": [10, 31, 2167, 2173, 2176, 2180, 2181, 2207], "protocol": 2294, "provid": 2210, "ptrepack": 2199, "publish": 13, "pull": [1, 13], "pure": 2193, "push": 1, "put": 351, "putmask": 415, "pyarrow": [2167, 2203, 2283, 2289, 2294, 2298, 2302, 2307], "pyperclipexcept": 1378, "pyperclipwindowsexcept": 1379, "pypi": [22, 2238], "pytabl": [2174, 2199, 2214], "pytest": 2, "python": [14, 22, 35, 2193, 2197, 2202, 2210, 2232, 2238, 2241, 2246, 2265, 2274, 2277, 2289, 2302, 2310], "q": 2307, "qcut": [1467, 2185], "qe": 2307, "qtr_with_extra_week": 1833, "quantil": [202, 776, 1190, 1251, 1291, 1314, 1331, 2186, 2207], "quarter": [317, 528, 558, 671, 994], "quarterbegin": [1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2176, 2230], "quarterend": [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2176], "queri": [15, 203, 2197, 2199], "question": 2194, "quick": [6, 15], "quot": 2199, "qyear": [529, 559, 672], "r": [15, 2188, 2194], "radd": [204, 777], "radviz": [1463, 2211], "rais": [2246, 2271, 2289], "random": 2197, "rang": [2185, 2197, 2209, 2210, 2230, 2238], "rangeindex": [568, 569, 570, 571, 572, 2185, 2294, 2298], "rank": [205, 778, 1191, 1252, 1315, 1332, 2230, 2241, 2289], "rather": 2249, "ravel": [416, 779, 1059], "raw": 2241, "rdiv": [206, 780], "read": [16, 17, 19, 24, 2190, 2196, 2199, 2203, 2241, 2283, 2289, 2294], "read_clipboard": 1468, "read_csv": [1469, 2231, 2232, 2235, 2246, 2277, 2289], "read_excel": [1470, 2307], "read_feath": 1471, "read_fwf": 1472, "read_gbq": 1473, "read_hdf": 1474, "read_html": [1475, 2246], "read_json": 1476, "read_orc": 1477, "read_parquet": 1478, "read_pickl": 1479, "read_sa": [1480, 2230], "read_spss": 1481, "read_sql": [1482, 2307], "read_sql_queri": 1483, "read_sql_tabl": 1484, "read_stata": 1485, "read_tabl": [1486, 2277], "read_xml": [1487, 2294], "recommend": [5, 22], "reconstruct": 2185, "record": [28, 2191], "reduct": [2186, 2209, 2243, 2271, 2277, 2283, 2302], "refactor": [2218, 2222, 2246], "refer": [7, 15, 2172], "regain": 2188, "regard": 2257, "regist": [6, 10], "register_dataframe_accessor": 1069, "register_extension_dtyp": 1070, "register_index_accessor": 1071, "register_matplotlib_convert": 1464, "register_series_accessor": 1072, "registr": 2239, "regress": [13, 2242, 2243, 2245, 2247, 2248, 2266, 2267, 2268, 2269, 2270, 2272, 2273, 2274, 2275, 2276, 2278, 2279, 2280, 2281, 2282, 2284, 2285, 2286, 2287, 2288, 2290, 2291, 2292, 2293, 2295, 2296, 2297, 2299, 2300, 2301, 2303, 2304, 2305, 2306, 2308, 2309], "regular": 2201, "reindex": [207, 417, 781, 2169, 2180, 2185, 2186, 2197, 2238], "reindex_lik": [208, 782], "relabel": [2249, 2271], "relabel_index": 1416, "relat": [2169, 2180, 2210], "releas": [13, 2213, 2228], "remot": 2199, "remov": [2188, 2207, 2222, 2225, 2228, 2230, 2232, 2235, 2238, 2241, 2246, 2249, 2265, 2283, 2298], "remove_categori": [58, 611], "remove_unused_categori": [59, 612], "remove_unused_level": 498, "removeprefix": 854, "removesuffix": 855, "renam": [16, 17, 19, 209, 418, 783, 2185, 2186, 2188, 2230, 2235, 2238, 2246, 2265, 2289], "rename_axi": [210, 784], "rename_categori": [60, 613, 2238], "render": [6, 2298], "reorder": [2185, 2188, 2307], "reorder_categori": [61, 614], "reorder_level": [211, 499, 785, 2185], "reorgan": 2235, "repeat": [419, 786, 856, 1060], "replac": [16, 17, 19, 212, 787, 857, 995, 2201, 2207, 2208], "report": [1, 2182], "repositori": 6, "repr": [2218, 2249, 2265], "repres": 2210, "represent": [23, 2194, 2210, 2226, 2230], "request": [1, 13], "requir": [4, 22, 2185, 2302], "resampl": [31, 213, 788, 1192, 1253, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 2179, 2195, 2209, 2210, 2230, 2231, 2235, 2236, 2238, 2239, 2240, 2241, 2246, 2249, 2250, 2251, 2252, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "reset": 2197, "reset_index": [214, 789], "reset_opt": 1488, "reshap": [15, 29, 2169, 2180, 2184, 2204, 2235, 2236, 2237, 2238, 2239, 2241, 2246, 2249, 2250, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "reshape2": 15, "resolut": [928, 996, 2211, 2298], "restor": 2239, "restrict": 2246, "result": [2200, 2265, 2271, 2283, 2289, 2298], "return": [3, 2195, 2197, 2232, 2235, 2238, 2246, 2249, 2265, 2283, 2298], "review": 13, "rfind": 858, "rfloordiv": [215, 790], "right": [18, 456, 474, 1137, 2271], "rindex": 859, "rjust": 860, "rmod": [216, 791], "rmul": [217, 792], "roja": 35, "role": 13, "roll": [218, 793, 1193, 1254, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 2183, 2212, 2222, 2232, 2235, 2236, 2238, 2239, 2240, 2241, 2246, 2249, 2250, 2251, 2252, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "round": [219, 318, 673, 794, 929, 948, 997, 2230, 2241], "routin": 2195, "row": [16, 17, 18, 19, 25, 29, 2186, 2195, 2200, 2249, 2271], "rpartit": 861, "rpow": [220, 795], "rsplit": 862, "rst": 6, "rstrip": 863, "rsub": [221, 796], "rtruediv": [222, 797], "rule": 3, "rule_cod": [1522, 1540, 1559, 1577, 1596, 1617, 1636, 1653, 1675, 1696, 1718, 1739, 1757, 1775, 1792, 1811, 1834, 1856, 1873, 1893, 1911, 1929, 1946, 1963, 1981, 1998, 2016, 2035, 2053, 2071, 2089, 2106, 2124, 2144, 2162], "run": [2, 22], "runner": 2182, "s3": 2235, "sa": [16, 2174, 2199, 2228], "safeti": 2194, "same": 2283, "sampl": [15, 223, 798, 1194, 1255, 2197, 2226], "scalar": [2167, 2197, 2198, 2222, 2238, 2265], "scale": [2205, 2211], "scatter": [197, 2211], "scatter_matrix": 1465, "schema": [2199, 2202, 2235], "scipi": [2206, 2225, 2235], "searchsort": [420, 799, 1061, 2186], "second": [319, 530, 560, 674, 675, 930, 949, 998, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026, 2027, 2028, 2029, 2030, 2031, 2032, 2033, 2034, 2035, 2176], "secondari": 2211, "section": [3, 2185], "secur": 14, "see": [3, 6], "select": [16, 17, 18, 19, 25, 352, 2169, 2173, 2180, 2184, 2186, 2191, 2195, 2197, 2199, 2216, 2238], "select_dtyp": 224, "sem": [225, 800, 1195, 1256, 1292, 1316, 1333], "semant": [2188, 2201, 2210], "semi": 2232, "semimonthbegin": [2036, 2037, 2038, 2039, 2040, 2041, 2042, 2043, 2044, 2045, 2046, 2047, 2048, 2049, 2050, 2051, 2052, 2053, 2176], "semimonthend": [2054, 2055, 2056, 2057, 2058, 2059, 2060, 2061, 2062, 2063, 2064, 2065, 2066, 2067, 2068, 2069, 2070, 2071, 2176], "separ": 2199, "septemb": [2253, 2273, 2286, 2294, 2303, 2310], "seri": [16, 17, 19, 23, 31, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 2169, 2180, 2184, 2185, 2188, 2191, 2195, 2200, 2208, 2210, 2222, 2228, 2232, 2235, 2238, 2241, 2246, 2249, 2257, 2261, 2265, 2271, 2283, 2289, 2294, 2298, 2302, 2307], "serial": [2169, 2180, 2294], "seriesgroupbi": [1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 2171, 2283, 2294, 2298], "set": [2173, 2177, 2184, 2186, 2188, 2197, 2202, 2207, 2211, 2232, 2247, 2283, 2294, 2298], "set_axi": [226, 801], "set_capt": 1417, "set_categori": [62, 615], "set_clos": [475, 1138], "set_cod": 500, "set_eng_float_format": 1489, "set_flag": [227, 802], "set_index": [228, 2232], "set_level": 501, "set_nam": 421, "set_opt": 1490, "set_properti": 1418, "set_sticki": 1419, "set_table_attribut": 1420, "set_table_styl": 1421, "set_td_class": 1422, "set_tooltip": 1423, "set_uuid": 1424, "setitem": 2302, "settingwithcopyerror": 1380, "settingwithcopywarn": 1381, "shape": [229, 422, 803, 1062], "share": [3, 2207], "sheet": 2199, "sheet_nam": 340, "shift": [230, 423, 804, 1063, 1196, 1257, 2210], "short": [3, 2277], "shorter": 2249, "show_vers": 1491, "side": 2188, "signatur": 2230, "silent": 2302, "singl": [2199, 2200, 2208, 2238], "size": [231, 424, 805, 1197, 1258, 1293], "skew": [232, 806, 1198, 1259, 1317, 1334], "slack": 0, "slice": [15, 864, 2197, 2207, 2210, 2257, 2271, 2294], "slice_index": 425, "slice_loc": 426, "slice_replac": 865, "slicer": [2185, 2220], "smallest": [2186, 2232], "snap": 320, "snif": 2199, "some": [18, 2271], "someth": [23, 2208], "sort": [15, 16, 17, 19, 29, 2169, 2173, 2180, 2185, 2186, 2188, 2195, 2228, 2241, 2247, 2271, 2307], "sort_index": [233, 807, 2235], "sort_valu": [234, 427, 808], "sortlevel": 502, "sourc": 22, "sp_valu": 814, "span": 2210, "spars": [235, 236, 237, 238, 239, 809, 810, 811, 812, 813, 814, 815, 2167, 2169, 2180, 2206, 2210, 2225, 2231, 2232, 2235, 2236, 2238, 2241, 2246, 2249, 2250, 2265, 2271, 2283, 2289, 2294, 2298, 2302, 2307], "sparsearrai": [1142, 2206], "sparsedatafram": 2235, "sparsedtyp": [914, 2206], "special": 2197, "specif": [2, 25, 2173, 2195, 2199], "specifi": [16, 19, 2199, 2238, 2271], "specificationerror": 1382, "split": [866, 2195, 2208, 2249], "spreadsheet": [17, 2199], "spss": [2174, 2199], "sql": [18, 22, 2174, 2199, 2220, 2222], "sqlalchemi": 2199, "sqlite": 2199, "squeez": [240, 816], "stack": [241, 2184, 2204, 2302], "stai": 6, "standard": [2, 3, 22, 2283, 2298], "start": [1, 6, 21, 33, 570, 1618, 1697, 2210], "start_tim": [531, 561, 676], "startingmonth": [1523, 1541, 1812, 1835, 1999, 2017], "startswith": 867, "startup": 2202, "stat": [2169, 2171, 2179, 2180, 2184], "stata": [19, 1437, 1438, 1439, 1440, 2174, 2199], "stataread": [1437, 1438, 1439], "statawrit": 1440, "statement": 2194, "statist": [28, 2186], "std": [242, 321, 817, 1199, 1260, 1294, 1301, 1318, 1335, 1339], "stefani": 35, "step": [5, 571], "sticki": 2207, "still": 6, "stop": 572, "store": [9, 2199, 2246], "storer": 2199, "str": [428, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 2208, 2230, 2241, 2249], "strftime": [322, 532, 562, 677, 999, 2228], "stricter": 2249, "string": [16, 17, 19, 2167, 2180, 2184, 2186, 2188, 2199, 2207, 2208, 2210, 2225, 2226, 2231, 2235, 2239, 2241, 2246, 2249, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "stringarrai": 1143, "stringdtyp": [915, 2271], "strip": 868, "strptime": 1000, "struct": [875, 876, 877, 2180, 2307], "structur": [2, 10, 12, 16, 17, 19, 34, 2184, 2191, 2203, 2206, 2207, 2246, 2307], "stub": 2294, "stuff": 2207, "style": [2, 243, 1394, 1395, 1396, 1397, 1398, 1399, 1400, 1401, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1412, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 2181, 2199, 2207, 2211, 2232, 2235, 2246], "styler": [1394, 1395, 1396, 1397, 1398, 1399, 1400, 1401, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1412, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 2181, 2207, 2246, 2277, 2283, 2289, 2294, 2298, 2302], "sub": [244, 878], "subclass": [10, 12, 2207, 2249], "subject": 2208, "submethod": 2228, "submit": 1, "subplot": 2211, "subset": [15, 25], "substr": [16, 17, 19, 2208], "subtract": 2246, "subtyp": 458, "success": 1, "suit": [2, 22, 2182], "suitabl": 2307, "sum": [245, 879, 1200, 1261, 1295, 1302, 1319, 1336, 1340, 2238], "summar": [15, 2186, 2271], "summari": [3, 28, 2208], "support": [8, 10, 14, 22, 34, 2193, 2194, 2199, 2214, 2228, 2232, 2235, 2241, 2246, 2249, 2261, 2265, 2271, 2274, 2277, 2294, 2298, 2302, 2307], "suppress": 2211, "swap": 2185, "swapax": 246, "swapcas": 869, "swaplevel": [247, 503, 880, 2185], "symmetric_differ": [429, 2232], "syntax": [2193, 2197, 2231], "t": [64, 355, 574, 2207], "tabl": [1, 2, 17, 23, 29, 30, 1466, 2184, 2199, 2202, 2204, 2207, 2211, 2235, 2241, 2277], "tablewis": 2186, "tabular": 24, "tail": [248, 881, 1201, 1262, 2186], "take": [249, 430, 882, 1064, 1202, 1263, 2185, 2195], "tappli": 15, "tar": 2294, "target": [2211, 2289], "task": 13, "team": 34, "templat": 2207, "template_html": 1425, "template_html_styl": 1426, "template_html_t": 1427, "template_latex": 1428, "template_str": 1429, "termin": [6, 2241], "terminologi": [16, 17, 19], "test": [2, 10, 22, 1492, 1493, 1494, 1495, 1496, 2182, 2208, 2235, 2271], "text": [2199, 2207, 2208, 2220], "text_gradi": 1430, "textual": 32, "than": [34, 2249], "thousand": 2199, "thread": [2194, 2289], "through": [6, 2195, 2199, 2210, 2253], "tick": [2072, 2073, 2074, 2075, 2076, 2077, 2078, 2079, 2080, 2081, 2082, 2083, 2084, 2085, 2086, 2087, 2088, 2089, 2176, 2211, 2246], "tight": 2289, "time": [31, 323, 678, 1001, 2169, 2173, 2180, 2184, 2209, 2210, 2232, 2246, 2261, 2289, 2294, 2302], "timedelta": [916, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 2167, 2180, 2209, 2225, 2230, 2241, 2246, 2249, 2265, 2271, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "timedelta64": [2199, 2298], "timedelta_rang": 1497, "timedeltaarrai": 1144, "timedeltaindex": [938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 2173, 2209, 2222], "timeseri": 2211, "timestamp": [953, 954, 955, 956, 957, 958, 959, 960, 961, 962, 963, 964, 965, 966, 967, 968, 969, 970, 971, 972, 973, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1014, 1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1024, 1025, 1026, 2210, 2271, 2294], "timetupl": 1003, "timetz": [324, 679, 1004], "timezon": [2199, 2222, 2241, 2246, 2249, 2250, 2265, 2271, 2277, 2283, 2298, 2302, 2307], "tip": [1, 3], "titl": 870, "to_clipboard": [250, 883], "to_coo": [238, 815], "to_csv": [251, 884, 2246, 2277], "to_datetim": [1498, 2228, 2231, 2232, 2235, 2271], "to_datetime64": 1005, "to_dens": 239, "to_dict": [252, 885, 2246, 2289], "to_excel": [253, 886, 1431], "to_feath": 254, "to_flat_index": 504, "to_fram": [325, 431, 505, 887, 950], "to_gbq": 255, "to_hdf": [256, 888], "to_html": [257, 1432], "to_json": [258, 889, 2294], "to_julian_d": 1006, "to_latex": [259, 890, 1433, 2277], "to_list": [432, 891], "to_markdown": [260, 892], "to_numer": [1499, 2232], "to_numpi": [261, 893, 931, 1007, 2307], "to_offset": 1502, "to_orc": 262, "to_parquet": 263, "to_period": [264, 326, 680, 894, 1008], "to_pickl": [265, 895], "to_pydatetim": [327, 681, 1009], "to_pytimedelta": [682, 932, 951], "to_record": 266, "to_seri": [328, 433, 952], "to_sql": [267, 896, 2307], "to_stata": 268, "to_str": [269, 897, 1434], "to_timedelta": [1500, 2209, 2228], "to_timedelta64": 933, "to_timestamp": [270, 533, 563, 898, 2246], "to_tupl": [476, 1139], "to_xarrai": [271, 899, 2230], "to_xml": 272, "todai": 1010, "togeth": 2200, "tolist": [1065, 2232], "tool": [20, 2199, 2211], "tooltip": 2207, "toordin": 1011, "top": [18, 2170, 2246, 2249], "total_second": [683, 934, 2228], "tour": 6, "track": 7, "tracker": 0, "trail": 2199, "transform": [15, 16, 19, 273, 900, 1203, 1264, 1296, 2186, 2195, 2283, 2289, 2294], "translat": [16, 17, 19, 871], "transpos": [274, 2169, 2191], "triag": 13, "trippabl": 2241, "troubleshoot": 6, "true": 2294, "truediv": [275, 901], "truncat": [276, 506, 902, 2210, 2249, 2283], "truth": 2194, "try": 2283, "tseri": [1501, 1502, 1503, 1504, 1505, 1506, 1507, 1508, 1509, 1510, 1511, 1512, 1513, 1514, 1515, 1516, 1517, 1518, 1519, 1520, 1521, 1522, 1523, 1524, 1525, 1526, 1527, 1528, 1529, 1530, 1531, 1532, 1533, 1534, 1535, 1536, 1537, 1538, 1539, 1540, 1541, 1542, 1543, 1544, 1545, 1546, 1547, 1548, 1549, 1550, 1551, 1552, 1553, 1554, 1555, 1556, 1557, 1558, 1559, 1560, 1561, 1562, 1563, 1564, 1565, 1566, 1567, 1568, 1569, 1570, 1571, 1572, 1573, 1574, 1575, 1576, 1577, 1578, 1579, 1580, 1581, 1582, 1583, 1584, 1585, 1586, 1587, 1588, 1589, 1590, 1591, 1592, 1593, 1594, 1595, 1596, 1597, 1598, 1599, 1600, 1601, 1602, 1603, 1604, 1605, 1606, 1607, 1608, 1609, 1610, 1611, 1612, 1613, 1614, 1615, 1616, 1617, 1618, 1619, 1620, 1621, 1622, 1623, 1624, 1625, 1626, 1627, 1628, 1629, 1630, 1631, 1632, 1633, 1634, 1635, 1636, 1637, 1638, 1639, 1640, 1641, 1642, 1643, 1644, 1645, 1646, 1647, 1648, 1649, 1650, 1651, 1652, 1653, 1654, 1655, 1656, 1657, 1658, 1659, 1660, 1661, 1662, 1663, 1664, 1665, 1666, 1667, 1668, 1669, 1670, 1671, 1672, 1673, 1674, 1675, 1676, 1677, 1678, 1679, 1680, 1681, 1682, 1683, 1684, 1685, 1686, 1687, 1688, 1689, 1690, 1691, 1692, 1693, 1694, 1695, 1696, 1697, 1698, 1699, 1700, 1701, 1702, 1703, 1704, 1705, 1706, 1707, 1708, 1709, 1710, 1711, 1712, 1713, 1714, 1715, 1716, 1717, 1718, 1719, 1720, 1721, 1722, 1723, 1724, 1725, 1726, 1727, 1728, 1729, 1730, 1731, 1732, 1733, 1734, 1735, 1736, 1737, 1738, 1739, 1740, 1741, 1742, 1743, 1744, 1745, 1746, 1747, 1748, 1749, 1750, 1751, 1752, 1753, 1754, 1755, 1756, 1757, 1758, 1759, 1760, 1761, 1762, 1763, 1764, 1765, 1766, 1767, 1768, 1769, 1770, 1771, 1772, 1773, 1774, 1775, 1776, 1777, 1778, 1779, 1780, 1781, 1782, 1783, 1784, 1785, 1786, 1787, 1788, 1789, 1790, 1791, 1792, 1793, 1794, 1795, 1796, 1797, 1798, 1799, 1800, 1801, 1802, 1803, 1804, 1805, 1806, 1807, 1808, 1809, 1810, 1811, 1812, 1813, 1814, 1815, 1816, 1817, 1818, 1819, 1820, 1821, 1822, 1823, 1824, 1825, 1826, 1827, 1828, 1829, 1830, 1831, 1832, 1833, 1834, 1835, 1836, 1837, 1838, 1839, 1840, 1841, 1842, 1843, 1844, 1845, 1846, 1847, 1848, 1849, 1850, 1851, 1852, 1853, 1854, 1855, 1856, 1857, 1858, 1859, 1860, 1861, 1862, 1863, 1864, 1865, 1866, 1867, 1868, 1869, 1870, 1871, 1872, 1873, 1874, 1875, 1876, 1877, 1878, 1879, 1880, 1881, 1882, 1883, 1884, 1885, 1886, 1887, 1888, 1889, 1890, 1891, 1892, 1893, 1894, 1895, 1896, 1897, 1898, 1899, 1900, 1901, 1902, 1903, 1904, 1905, 1906, 1907, 1908, 1909, 1910, 1911, 1912, 1913, 1914, 1915, 1916, 1917, 1918, 1919, 1920, 1921, 1922, 1923, 1924, 1925, 1926, 1927, 1928, 1929, 1930, 1931, 1932, 1933, 1934, 1935, 1936, 1937, 1938, 1939, 1940, 1941, 1942, 1943, 1944, 1945, 1946, 1947, 1948, 1949, 1950, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1959, 1960, 1961, 1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1976, 1977, 1978, 1979, 1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026, 2027, 2028, 2029, 2030, 2031, 2032, 2033, 2034, 2035, 2036, 2037, 2038, 2039, 2040, 2041, 2042, 2043, 2044, 2045, 2046, 2047, 2048, 2049, 2050, 2051, 2052, 2053, 2054, 2055, 2056, 2057, 2058, 2059, 2060, 2061, 2062, 2063, 2064, 2065, 2066, 2067, 2068, 2069, 2070, 2071, 2072, 2073, 2074, 2075, 2076, 2077, 2078, 2079, 2080, 2081, 2082, 2083, 2084, 2085, 2086, 2087, 2088, 2089, 2090, 2091, 2092, 2093, 2094, 2095, 2096, 2097, 2098, 2099, 2100, 2101, 2102, 2103, 2104, 2105, 2106, 2107, 2108, 2109, 2110, 2111, 2112, 2113, 2114, 2115, 2116, 2117, 2118, 2119, 2120, 2121, 2122, 2123, 2124, 2125, 2126, 2127, 2128, 2129, 2130, 2131, 2132, 2133, 2134, 2135, 2136, 2137, 2138, 2139, 2140, 2141, 2142, 2143, 2144, 2145, 2146, 2147, 2148, 2149, 2150, 2151, 2152, 2153, 2154, 2155, 2156, 2157, 2158, 2159, 2160, 2161, 2162], "tupl": 2191, "tutori": [21, 33, 35], "tweak": 2257, "two": [2200, 2246, 2271], "type": [2, 3, 10, 1078, 1079, 1080, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1092, 1093, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 2167, 2185, 2187, 2193, 2194, 2198, 2199, 2200, 2208, 2232, 2235, 2238, 2241, 2246, 2249, 2265, 2277, 2283, 2307], "tz": [329, 335, 684, 1012, 2228, 2294], "tz_convert": [277, 330, 685, 903, 1013], "tz_local": [278, 331, 686, 904, 1014], "tzinfo": [1015, 2298], "tzname": 1016, "udf": 2194, "ufunc": [2201, 2249, 2278], "uint16dtyp": 1027, "uint32dtyp": 1028, "uint64": 2235, "uint64dtyp": 1029, "uint64index": 2289, "uint8dtyp": 1030, "un": 2195, "undefinedvariableerror": 1383, "underli": [2169, 2185, 2186], "unicod": [2199, 2202, 2228], "union": [18, 434, 2188, 2249], "union_categor": 1117, "uniqu": [435, 905, 1066, 1265, 2163, 2200, 2228, 2232, 2235, 2246, 2261, 2283, 2289], "unit": [336, 687, 935, 1017], "univers": 10, "unobserv": 2241, "unrespons": 6, "unsortedindexerror": 1384, "unstack": [279, 906, 2204, 2289], "unsupport": 2298, "unsupportedfunctioncal": 1385, "unus": 2188, "up": [13, 2197], "upcast": [2186, 2235, 2302], "upcom": 2307, "updat": [1, 4, 18, 280, 907, 2214], "upper": 872, "upsampl": [2179, 2210, 2230], "url": 2235, "us": [2, 5, 6, 8, 30, 31, 1435, 2185, 2193, 2194, 2195, 2197, 2199, 2202, 2205, 2207, 2209, 2210, 2211, 2220, 2231, 2232, 2246, 2265, 2271, 2294], "usag": [2188, 2194, 2222, 2235], "usecol": 2199, "user": [35, 2184, 2194, 2195, 2196, 2261], "utc": [2238, 2249, 2298], "utcfromtimestamp": 1018, "utcnow": 1019, "utcoffset": 1020, "utctimetupl": 1021, "util": [2164, 2165, 2167], "uuid": 2207, "v": [16, 17, 18, 19, 2210, 2228], "v0": [2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2241, 2242, 2243, 2245], "valid": 2, "valu": [12, 16, 17, 19, 282, 437, 477, 909, 936, 1022, 2173, 2175, 2184, 2186, 2187, 2194, 2195, 2197, 2198, 2199, 2200, 2201, 2207, 2232, 2241, 2246, 2249, 2265, 2283, 2289, 2294, 2298], "value_count": [281, 436, 908, 1204, 1266, 2289, 2294], "value_label": 1438, "valueerror": [2246, 2289], "valuelabeltypemismatch": 1386, "var": [283, 910, 1205, 1267, 1297, 1303, 1320, 1337, 1341, 2283], "variabl": [2193, 2208], "variable_label": 1439, "variableoffsetwindowindex": 1075, "varianc": 2283, "variat": [1813, 1836], "variou": [35, 2238], "vector": [2186, 2191], "verbos": 2265, "versa": 2249, "version": [1, 14, 22, 2213, 2214, 2215, 2216, 2217, 2218, 2219, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2246, 2249, 2253, 2254, 2255, 2256, 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2271, 2274, 2277, 2283, 2289, 2294, 2298, 2302, 2307], "versu": 2197, "via": [2193, 2199], "vice": 2249, "video": 35, "view": [438, 911, 937, 1067, 2184, 2197], "vincent": 35, "visual": [22, 2171, 2207, 2211], "vscode": 6, "walk": 353, "warn": [2, 2182, 2238, 2289], "week": [534, 564, 1023, 1874, 2090, 2091, 2092, 2093, 2094, 2095, 2096, 2097, 2098, 2099, 2100, 2101, 2102, 2103, 2104, 2105, 2106, 2107, 2125, 2176], "weekdai": [332, 535, 565, 688, 1024, 1814, 1837, 1875, 2107, 2126], "weekmask": [1597, 1619, 1676, 1698, 1719, 1740], "weekofmonth": [2108, 2109, 2110, 2111, 2112, 2113, 2114, 2115, 2116, 2117, 2118, 2119, 2120, 2121, 2122, 2123, 2124, 2125, 2126, 2176], "weekofyear": [536, 566, 1025], "weight": [2183, 2212], "what": [23, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2241, 2242, 2243, 2244, 2245, 2246, 2247, 2248, 2249, 2250, 2251, 2252, 2265, 2266, 2267, 2268, 2269, 2270, 2271, 2272, 2273, 2274, 2275, 2276, 2277, 2278, 2279, 2280, 2281, 2282, 2283, 2284, 2285, 2286, 2287, 2288, 2289, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2299, 2300, 2301, 2302, 2303, 2304, 2305, 2306, 2307, 2308, 2309, 2310], "when": [2197, 2210, 2231, 2235, 2238, 2241, 2249, 2271, 2277, 2283, 2294, 2307], "where": [18, 284, 439, 912, 2197, 2199, 2231, 2235], "while": 2186, "why": [34, 2194, 2197], "wide": [29, 2214], "wide_to_long": [2166, 2204], "widget": 2207, "width": [2199, 2228], "window": [1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330, 1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 2169, 2180, 2183, 2195, 2212, 2230, 2231, 2235, 2265, 2283, 2289], "wise": [2186, 2241], "word": [16, 17, 19], "work": [2177, 2188, 2201, 2208, 2210, 2230], "workflow": 6, "workshop": 35, "workspac": 6, "would": 2289, "wrap": 873, "write": [2, 3, 7, 24, 2190, 2193, 2199, 2241, 2283, 2294, 2298, 2302, 2307], "write_fil": 1440, "writer": 2199, "x": [285, 913], "xlsb": 2199, "xlsxwriter": 35, "xml": [22, 2174, 2199, 2283, 2294], "xport": 2228, "y": [2211, 2307], "ye": 2307, "year": [333, 537, 567, 689, 1026], "year_has_extra_week": 1838, "yearbegin": [2127, 2128, 2129, 2130, 2131, 2132, 2133, 2134, 2135, 2136, 2137, 2138, 2139, 2140, 2141, 2142, 2143, 2144, 2176], "yearend": [2145, 2146, 2147, 2148, 2149, 2150, 2151, 2152, 2153, 2154, 2155, 2156, 2157, 2158, 2159, 2160, 2161, 2162, 2176], "yield": 3, "your": [1, 2, 3], "zero": 2241, "zfill": 874, "zone": [2210, 2289, 2294, 2302]}})