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java.lang.Object cern.colt.PersistentObject cern.colt.matrix.impl.AbstractFormatter cern.colt.matrix.doublealgo.Formatter
Flexible, well human readable matrix print formatting; By default decimal point aligned. Build on top of the C-like sprintf functionality
provided by the Format
class written by Cay Horstmann.
Currenly works on 1-d, 2-d and 3-d matrices.
Note that in most cases you will not need to get familiar with this class; just call matrix.toString() and be happy with the default formatting.
This class is for advanced requirements.
Can't exactly remember the syntax of printf format strings? See Format
or Henrik
Nordberg's documentation, or the Dinkumware's
C Library Reference.
Examples:
Examples demonstrate usage on 2-d matrices. 1-d and 3-d matrices formatting works very similar.
Original matrix |
double[][] values = { |
format | Formatter.toString(matrix); | Formatter.toSourceCode(matrix); |
%G (default) |
5 x 4 matrix 3 0 -3.4 0 5.1 0 3.012346 0 16.37 0 2.5 0 -16.3 0 -0.000301 -1 1236.345679 0 7 -1.2 |
{ { 3 , 0, -3.4 , 0 }, { 5.1 , 0, 3.012346, 0 }, { 16.37 , 0, 2.5 , 0 }, { -16.3 , 0, -0.000301, -1 }, {1236.345679, 0, 7 , -1.2} }; |
%1.10G | 5 x 4 matrix 3 0 -3.4 0 5.1 0 3.0123456789 0 16.37 0 2.5 0 -16.3 0 -0.0003012346 -1 1236.3456789 0 7 -1.2 |
{ { 3 , 0, -3.4 , 0 }, { 5.1 , 0, 3.0123456789, 0 }, { 16.37 , 0, 2.5 , 0 }, { -16.3 , 0, -0.0003012346, -1 }, {1236.3456789, 0, 7 , -1.2} }; |
%f | 5 x 4 matrix 3.000000 0.000000 -3.400000 0.000000 5.100000 0.000000 3.012346 0.000000 16.370000 0.000000 2.500000 0.000000 -16.300000 0.000000 -0.000301 -1.000000 1236.345679 0.000000 7.000000 -1.200000 |
{ { 3.000000, 0.000000, -3.400000, 0.000000}, { 5.100000, 0.000000, 3.012346, 0.000000}, { 16.370000, 0.000000, 2.500000, 0.000000}, { -16.300000, 0.000000, -0.000301, -1.000000}, {1236.345679, 0.000000, 7.000000, -1.200000} }; |
%1.2f | 5 x 4 matrix 3.00 0.00 -3.40 0.00 5.10 0.00 3.01 0.00 16.37 0.00 2.50 0.00 -16.30 0.00 -0.00 -1.00 1236.35 0.00 7.00 -1.20 |
{ { 3.00, 0.00, -3.40, 0.00}, { 5.10, 0.00, 3.01, 0.00}, { 16.37, 0.00, 2.50, 0.00}, { -16.30, 0.00, -0.00, -1.00}, {1236.35, 0.00, 7.00, -1.20} }; |
%0.2e | 5 x 4 matrix 3.00e+000 0.00e+000 -3.40e+000 0.00e+000 5.10e+000 0.00e+000 3.01e+000 0.00e+000 1.64e+001 0.00e+000 2.50e+000 0.00e+000 -1.63e+001 0.00e+000 -3.01e-004 -1.00e+000 1.24e+003 0.00e+000 7.00e+000 -1.20e+000 |
{ { 3.00e+000, 0.00e+000, -3.40e+000, 0.00e+000}, { 5.10e+000, 0.00e+000, 3.01e+000, 0.00e+000}, { 1.64e+001, 0.00e+000, 2.50e+000, 0.00e+000}, {-1.63e+001, 0.00e+000, -3.01e-004, -1.00e+000}, { 1.24e+003, 0.00e+000, 7.00e+000, -1.20e+000} }; |
null | 5 x 4 matrix 3.0 0.0 -3.4 0.0 5.1 0.0 3.0123456789 0.0 16.37 0.0 2.5 0.0 -16.3 0.0 -3.012345678E-4 -1.0 1236.3456789 0.0 7.0 -1.2 |
{ { 3.0 , 0.0, -3.4 , 0.0}, { 5.1 , 0.0, 3.0123456789 , 0.0}, { 16.37 , 0.0, 2.5 , 0.0}, { -16.3 , 0.0, -3.012345678E-4, -1.0}, {1236.3456789, 0.0, 7.0 , -1.2} }; |
Here are some more elaborate examples, adding labels for axes, rows, columns, title and some statistical aggregations.
double[][] values = { |
CPU performance over time [nops/sec] | Year | 1996 1997 1998 1999 | Mean RMS 25% Q. Median 75% Q. StdDev Min Max --------------------------------------------------------------------------------------- C PowerBar | 5 10 20 40 | 18.75 23.05 8.75 15 25 15.48 5 40 P Benzol | 7 8 6 7 | 7 7.04 6.75 7 7.25 0.82 6 8 U Mercedes | 12 10 20 19 | 15.25 15.85 11.5 15.5 19.25 4.99 10 20 Sparcling | 3 1 5 6 | 3.75 4.21 2.5 4 5.25 2.22 1 6 --------------------------------------------------------------------------------------- Mean | 6.75 7.25 12.75 18 | RMS | 7.53 8.14 14.67 22.62 | 25% Q. | 4.5 6.25 5.75 6.75 | Median | 6 9 13 13 | 75% Q. | 8.25 10 20 24.25 | StdDev | 3.86 4.27 8.38 15.81 | Min | 3 1 5 6 | Max | 12 10 20 19 | |
same as above, but now without aggregations aggr=null; |
CPU performance over time [nops/sec] | Year | 1996 1997 1998 1999 --------------------------------- C PowerBar | 5 10 20 40 P Benzol | 7 8 6 7 U Mercedes | 12 10 20 19 Sparcling | 3 1 5 6 |
same as above, but now without rows labeled |
CPU performance over time [nops/sec] Year 1996 1997 1998 1999 ------------------- 5 10 20 40 7 8 6 7 12 10 20 19 3 1 5 6 |
A column can be broader than specified by the parameter minColumnWidth (because a cell may not fit into that width) but a column is never smaller than minColumnWidth. Normally one does not need to specify minColumnWidth (default is 1). This parameter is only interesting when wanting to print two distinct matrices such that both matrices have the same column width, for example, to make it easier to see which column of matrix A corresponds to which column of matrix B.
Implementation:
Note that this class is by no means ment to be used for high performance I/O (serialization is much quicker). It is ment to produce well human readable output.
Analyzes the entire matrix before producing output. Each cell is converted
to a String as indicated by the given C-like format string. If null
is passed as format string, Double.toString(double)
is used
instead, yielding full precision.
Next, leading and trailing whitespaces are removed. For each column the maximum number of characters before and after the decimal point is determined. (No problem if decimal points are missing). Each cell is then padded with leading and trailing blanks, as necessary to achieve decimal point aligned, left justified formatting.
Field Summary |
Fields inherited from class cern.colt.matrix.impl.AbstractFormatter |
CENTER, DECIMAL, DEFAULT_COLUMN_SEPARATOR, DEFAULT_MIN_COLUMN_WIDTH, DEFAULT_ROW_SEPARATOR, DEFAULT_SLICE_SEPARATOR, LEFT, RIGHT |
Fields inherited from class cern.colt.PersistentObject |
serialVersionUID |
Constructor Summary | |
Formatter()
Constructs and returns a matrix formatter with format "%G". |
|
Formatter(String format)
Constructs and returns a matrix formatter. |
Method Summary | |
static void |
demo1()
Demonstrates how to use this class. |
static void |
demo2()
Demonstrates how to use this class. |
static void |
demo3(int size,
double value)
Demonstrates how to use this class. |
static void |
demo4()
Demonstrates how to use this class. |
static void |
demo5()
Demonstrates how to use this class. |
static void |
demo6()
Demonstrates how to use this class. |
static void |
demo7()
Demonstrates how to use this class. |
String[][] |
format(DoubleMatrix2D matrix)
Returns a string representations of all cells; no alignment considered. |
String |
toSourceCode(DoubleMatrix1D matrix)
Returns a string s such that Object[] m = s is a legal Java statement. |
String |
toSourceCode(DoubleMatrix2D matrix)
Returns a string s such that Object[] m = s is a legal Java statement. |
String |
toSourceCode(DoubleMatrix3D matrix)
Returns a string s such that Object[] m = s is a legal Java statement. |
String |
toString(DoubleMatrix1D matrix)
Returns a string representation of the given matrix. |
String |
toString(DoubleMatrix2D matrix)
Returns a string representation of the given matrix. |
String |
toString(DoubleMatrix3D matrix)
Returns a string representation of the given matrix. |
String |
toTitleString(DoubleMatrix2D matrix,
String[] rowNames,
String[] columnNames,
String rowAxisName,
String columnAxisName,
String title,
BinFunction1D[] aggr)
Same as toTitleString except that additionally statistical aggregates (mean, median, sum, etc.) of rows and columns are printed. |
String |
toTitleString(DoubleMatrix3D matrix,
String[] sliceNames,
String[] rowNames,
String[] columnNames,
String sliceAxisName,
String rowAxisName,
String columnAxisName,
String title,
BinFunction1D[] aggr)
Returns a string representation of the given matrix with axis as well as rows and columns labeled. |
Methods inherited from class cern.colt.matrix.impl.AbstractFormatter |
demo3, setAlignment, setColumnSeparator, setFormat, setMinColumnWidth, setPrintShape, setRowSeparator, setSliceSeparator, shape, shape, shape |
Methods inherited from class cern.colt.PersistentObject |
clone |
Methods inherited from class java.lang.Object |
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
public Formatter()
public Formatter(String format)
format
- the given format used to convert a single cell value.Method Detail |
public static void demo1()
public static void demo2()
public static void demo3(int size, double value)
public static void demo4()
public static void demo5()
public static void demo6()
public static void demo7()
public String[][] format(DoubleMatrix2D matrix)
public String toSourceCode(DoubleMatrix1D matrix)
matrix
- the matrix to format.public String toSourceCode(DoubleMatrix2D matrix)
matrix
- the matrix to format.public String toSourceCode(DoubleMatrix3D matrix)
matrix
- the matrix to format.public String toString(DoubleMatrix1D matrix)
matrix
- the matrix to convert.public String toString(DoubleMatrix2D matrix)
matrix
- the matrix to convert.public String toString(DoubleMatrix3D matrix)
matrix
- the matrix to convert.public String toTitleString(DoubleMatrix2D matrix, String[] rowNames, String[] columnNames, String rowAxisName, String columnAxisName, String title, BinFunction1D[] aggr)
matrix
- The matrix to format.rowNames
- The headers of all rows (to be put to the left of the matrix).columnNames
- The headers of all columns (to be put to above the matrix).rowAxisName
- The label of the y-axis.columnAxisName
- The label of the x-axis.title
- The overall title of the matrix to be formatted.aggr
- the aggregation functions to be applied to columns and rows.
BinFunction1D
,
BinFunctions1D
public String toTitleString(DoubleMatrix3D matrix, String[] sliceNames, String[] rowNames, String[] columnNames, String sliceAxisName, String rowAxisName, String columnAxisName, String title, BinFunction1D[] aggr)
matrix
- The matrix to format.sliceNames
- The headers of all slices (to be put above each slice).rowNames
- The headers of all rows (to be put to the left of the matrix).columnNames
- The headers of all columns (to be put to above the matrix).sliceAxisName
- The label of the z-axis (to be put above each slice).rowAxisName
- The label of the y-axis.columnAxisName
- The label of the x-axis.title
- The overall title of the matrix to be formatted.aggr
- the aggregation functions to be applied to columns, rows.
BinFunction1D
,
BinFunctions1D
|
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