What’s new in 2.0.3 (June 28, 2023)#

These are the changes in pandas 2.0.3. See Release notes for a full changelog including other versions of pandas.

Fixed regressions#

Bug in Timestamp.weekday`() was returning incorrect results before '0000-02-29' (GH 53738)
Fixed performance regression in merging on datetime-like columns (GH 53231)
Fixed regression when DataFrame.to_string() creates extra space for string dtypes (GH 52690)

Bug in DataFrame.convert_dtype() and Series.convert_dtype() when trying to convert ArrowDtype with dtype_backend="nullable_numpy" (GH 53648)
Bug in RangeIndex.union() when using sort=True with another RangeIndex (GH 53490)
Bug in Series.reindex() when expanding a non-nanosecond datetime or timedelta Series would not fill with NaT correctly (GH 53497)
Bug in read_csv() when defining dtype with bool[pyarrow] for the "c" and "python" engines (GH 53390)
Bug in Series.str.split() and Series.str.rsplit() with expand=True for ArrowDtype with pyarrow.string (GH 53532)
Bug in indexing methods (e.g. DataFrame.__getitem__()) where taking the entire DataFrame/Series would raise an OverflowError when Copy on Write was enabled and the length of the array was over the maximum size a 32-bit integer can hold (GH 53616)
Bug when constructing a DataFrame with columns of an ArrowDtype with a pyarrow.dictionary type that reindexes the data (GH 53617)
Bug when indexing a DataFrame or Series with an Index with a timestamp ArrowDtype would raise an AttributeError (GH 53644)

For contributors, please see /usr/share/doc/contributors_list.txt or https://github.com/pandas-dev/pandas/graphs/contributors