Package com.illumon.integrations.numpy

Class Java2NumpyCopy

java.lang.Object

com.illumon.integrations.numpy.Java2NumpyCopy

public class Java2NumpyCopy
extends Object

Utilities for copying data into numpy arrays.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static enum	Java2NumpyCopy.TableType	Type of table.

Constructor Summary

Constructors

Constructor	Description
Java2NumpyCopy()

Method Summary

Modifier and Type	Method	Description
static void	copyImageRand(Table t, double[] data, int nRow, int width, int height, boolean resize, boolean color, long[] rows)	Copies a random selection of image rows into a flattened array.
static void	copyImageRand(Table t, float[] data, int nRow, int width, int height, boolean resize, boolean color, long[] rows)	Copies a random selection of image rows into a flattened array.
static void	copyImageRand(Table t, int[] data, int nRow, int width, int height, boolean resize, boolean color, long[] rows)	Copies a random selection of image rows into a flattened array.
static void	copyImageRand(Table t, int nRow, int width, int height, boolean resize, boolean color, long[] rows, com.illumon.integrations.numpy.Java2NumpyCopy.IntValSetter setter)	Copies a random selection of image rows into a flattened array.
static void	copyImageRand(Table t, long[] data, int nRow, int width, int height, boolean resize, boolean color, long[] rows)	Copies a random selection of image rows into a flattened array.
static void	copyImageRand(Table t, short[] data, int nRow, int width, int height, boolean resize, boolean color, long[] rows)	Copies a random selection of image rows into a flattened array.
static void	copyImageSlice(Table t, long rowStart, double[] data, int nRow, int width, int height, boolean resize, boolean color)	Copies a slice of image rows into a flattened array.
static void	copyImageSlice(Table t, long rowStart, float[] data, int nRow, int width, int height, boolean resize, boolean color)	Copies a slice of image rows into a flattened array.
static void	copyImageSlice(Table t, long rowStart, int[] data, int nRow, int width, int height, boolean resize, boolean color)	Copies a slice of image rows into a flattened array.
static void	copyImageSlice(Table t, long rowStart, int nRow, int width, int height, boolean resize, boolean color, com.illumon.integrations.numpy.Java2NumpyCopy.IntValSetter setter)	Copies a slice of image rows into a flattened array.
static void	copyImageSlice(Table t, long rowStart, long[] data, int nRow, int width, int height, boolean resize, boolean color)	Copies a slice of image rows into a flattened array.
static void	copyImageSlice(Table t, long rowStart, short[] data, int nRow, int width, int height, boolean resize, boolean color)	Copies a slice of image rows into a flattened array.
static void	copyRand(Table t, byte[] data, int nRow, int nCol, long[] rows)	Casts data to the desired type and copies a random selection of rows into a flattened 2D array.
static void	copyRand(Table t, double[] data, int nRow, int nCol, long[] rows)	Casts data to the desired type and copies a random selection of rows into a flattened 2D array.
static void	copyRand(Table t, float[] data, int nRow, int nCol, long[] rows)	Casts data to the desired type and copies a random selection of rows into a flattened 2D array.
static void	copyRand(Table t, int[] data, int nRow, int nCol, long[] rows)	Casts data to the desired type and copies a random selection of rows into a flattened 2D array.
static void	copyRand(Table t, int nRow, int nCol, long[] rows, Class type, String cast, com.illumon.integrations.numpy.Java2NumpyCopy.CopySetter setter)	Casts data to the desired type and copies a random selection of rows into a flattened 2D array.
static void	copyRand(Table t, long[] data, int nRow, int nCol, long[] rows)	Casts data to the desired type and copies a random selection of rows into a flattened 2D array.
static void	copyRand(Table t, short[] data, int nRow, int nCol, long[] rows)	Casts data to the desired type and copies a random selection of rows into a flattened 2D array.
static void	copySlice(Table t, long rowStart, byte[] data, int nRow, int nCol)	Casts data to the desired type and copies a slice of rows into a flattened 2D array.
static void	copySlice(Table t, long rowStart, double[] data, int nRow, int nCol)	Casts data to the desired type and copies a slice of rows into a flattened 2D array.
static void	copySlice(Table t, long rowStart, float[] data, int nRow, int nCol)	Casts data to the desired type and copies a slice of rows into a flattened 2D array.
static void	copySlice(Table t, long rowStart, int[] data, int nRow, int nCol)	Casts data to the desired type and copies a slice of rows into a flattened 2D array.
static void	copySlice(Table t, long rowStart, long[] data, int nRow, int nCol)	Casts data to the desired type and copies a slice of rows into a flattened 2D array.
static void	copySlice(Table t, long rowStart, short[] data, int nRow, int nCol)	Casts data to the desired type and copies a slice of rows into a flattened 2D array.
static long[]	randRows(int nRow, long tSize)	Generates a list of random table rows.
static Java2NumpyCopy.TableType	tableType(Table t)	Determines the type of table.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

Java2NumpyCopy

public Java2NumpyCopy()

Method Details

tableType

public static Java2NumpyCopy.TableType tableType(Table t)

Determines the type of table.

Parameters:

t - table.

Returns:

table type.

copySlice

public static void copySlice(Table t,
 long rowStart,
 double[] data,
 int nRow,
 int nCol)

Casts data to the desired type and copies a slice of rows into a flattened 2D array. This is useful for copying table data directly into numpy arrays.

Parameters:

t - table to copy data from

rowStart - first row of data to copy

data - array to copy data into

nRow - number of rows to copy; also the number of rows in data.

nCol - number of table columns; also the number of columns in data.

copySlice

public static void copySlice(Table t,
 long rowStart,
 float[] data,
 int nRow,
 int nCol)

Casts data to the desired type and copies a slice of rows into a flattened 2D array. This is useful for copying table data directly into numpy arrays.

Parameters:

t - table to copy data from

rowStart - first row of data to copy

data - array to copy data into

nRow - number of rows to copy; also the number of rows in data.

nCol - number of table columns; also the number of columns in data.

copySlice

public static void copySlice(Table t,
 long rowStart,
 byte[] data,
 int nRow,
 int nCol)

Casts data to the desired type and copies a slice of rows into a flattened 2D array. This is useful for copying table data directly into numpy arrays.

Parameters:

t - table to copy data from

rowStart - first row of data to copy

data - array to copy data into

nRow - number of rows to copy; also the number of rows in data.

nCol - number of table columns; also the number of columns in data.

copySlice

public static void copySlice(Table t,
 long rowStart,
 short[] data,
 int nRow,
 int nCol)

Casts data to the desired type and copies a slice of rows into a flattened 2D array. This is useful for copying table data directly into numpy arrays.

Parameters:

t - table to copy data from

rowStart - first row of data to copy

data - array to copy data into

nRow - number of rows to copy; also the number of rows in data.

nCol - number of table columns; also the number of columns in data.

copySlice

public static void copySlice(Table t,
 long rowStart,
 int[] data,
 int nRow,
 int nCol)

Casts data to the desired type and copies a slice of rows into a flattened 2D array. This is useful for copying table data directly into numpy arrays.

Parameters:

t - table to copy data from

rowStart - first row of data to copy

data - array to copy data into

nRow - number of rows to copy; also the number of rows in data.

nCol - number of table columns; also the number of columns in data.

copySlice

public static void copySlice(Table t,
 long rowStart,
 long[] data,
 int nRow,
 int nCol)

Casts data to the desired type and copies a slice of rows into a flattened 2D array. This is useful for copying table data directly into numpy arrays.

Parameters:

t - table to copy data from

rowStart - first row of data to copy

data - array to copy data into

nRow - number of rows to copy; also the number of rows in data.

nCol - number of table columns; also the number of columns in data.

randRows

public static long[] randRows(int nRow,
 long tSize)

Generates a list of random table rows.

Parameters:

nRow - number of random rows.

tSize - table size.

Returns:

indices of random table rows.

copyRand

public static void copyRand(Table t,
 int nRow,
 int nCol,
 long[] rows,
 Class type,
 String cast,
 com.illumon.integrations.numpy.Java2NumpyCopy.CopySetter setter)

Casts data to the desired type and copies a random selection of rows into a flattened 2D array. This is useful for copying table data directly into arrays.

Parameters:

t - table to copy data from

nRow - number of rows to copy; also the number of rows in data.

nCol - number of table columns; also the number of columns in data.

rows - indices of rows to copy. Null causes rows to be randomly generated.

type - type of output data

cast - string used to cast to the output type

setter - setter used to assign data

copyRand

public static void copyRand(Table t,
 double[] data,
 int nRow,
 int nCol,
 long[] rows)

Casts data to the desired type and copies a random selection of rows into a flattened 2D array. This is useful for copying table data directly into numpy arrays.

Parameters:

t - table to copy data from

data - array to copy data into

nRow - number of rows to copy; also the number of rows in data.

nCol - number of table columns; also the number of columns in data.

rows - indices of rows to copy. Null causes rows to be randomly generated.

copyRand

public static void copyRand(Table t,
 float[] data,
 int nRow,
 int nCol,
 long[] rows)

Casts data to the desired type and copies a random selection of rows into a flattened 2D array. This is useful for copying table data directly into numpy arrays.

Parameters:

t - table to copy data from

data - array to copy data into

nRow - number of rows to copy; also the number of rows in data.

nCol - number of table columns; also the number of columns in data.

rows - indices of rows to copy. Null causes rows to be randomly generated.

copyRand

public static void copyRand(Table t,
 byte[] data,
 int nRow,
 int nCol,
 long[] rows)

Casts data to the desired type and copies a random selection of rows into a flattened 2D array. This is useful for copying table data directly into numpy arrays.

Parameters:

t - table to copy data from

data - array to copy data into

nRow - number of rows to copy; also the number of rows in data.

nCol - number of table columns; also the number of columns in data.

rows - indices of rows to copy. Null causes rows to be randomly generated.

copyRand

public static void copyRand(Table t,
 short[] data,
 int nRow,
 int nCol,
 long[] rows)

Casts data to the desired type and copies a random selection of rows into a flattened 2D array. This is useful for copying table data directly into numpy arrays.

Parameters:

t - table to copy data from

data - array to copy data into

nRow - number of rows to copy; also the number of rows in data.

nCol - number of table columns; also the number of columns in data.

rows - indices of rows to copy. Null causes rows to be randomly generated.

copyRand

public static void copyRand(Table t,
 int[] data,
 int nRow,
 int nCol,
 long[] rows)

Casts data to the desired type and copies a random selection of rows into a flattened 2D array. This is useful for copying table data directly into numpy arrays.

Parameters:

t - table to copy data from

data - array to copy data into

nRow - number of rows to copy; also the number of rows in data.

nCol - number of table columns; also the number of columns in data.

rows - indices of rows to copy. Null causes rows to be randomly generated.

copyRand

public static void copyRand(Table t,
 long[] data,
 int nRow,
 int nCol,
 long[] rows)

Casts data to the desired type and copies a random selection of rows into a flattened 2D array. This is useful for copying table data directly into numpy arrays.

Parameters:

t - table to copy data from

data - array to copy data into

nRow - number of rows to copy; also the number of rows in data.

nCol - number of table columns; also the number of columns in data.

rows - indices of rows to copy. Null causes rows to be randomly generated.

copyImageSlice

public static void copyImageSlice(Table t,
 long rowStart,
 int nRow,
 int width,
 int height,
 boolean resize,
 boolean color,
 com.illumon.integrations.numpy.Java2NumpyCopy.IntValSetter setter)

Copies a slice of image rows into a flattened array. For color, the array is indexed as [row, height, width, channel], where channel is red, green, blue. For grayscale, the array is indexed as [row, height, width].

This is useful for copying table images directly into arrays.

Parameters:

t - table to copy data from

rowStart - first row of data to copy

nRow - number of rows to copy; also the number of rows in data.

width - width of the image

height - height of the image

resize - true to resize the image to the target size; false otherwise.

color - true to return a color image; false to return a gray-scale image.

setter - setter used to assign data

copyImageSlice

public static void copyImageSlice(Table t,
 long rowStart,
 short[] data,
 int nRow,
 int width,
 int height,
 boolean resize,
 boolean color)

Copies a slice of image rows into a flattened array. For color, the array is indexed as [row, height, width, channel], where channel is red, green, blue. For grayscale, the array is indexed as [row, height, width].

This is useful for copying table images directly into numpy arrays.

Parameters:

t - table to copy data from

rowStart - first row of data to copy

data - array to copy data into

nRow - number of rows to copy; also the number of rows in data.

width - width of the image

height - height of the image

resize - true to resize the image to the target size; false otherwise.

color - true to return a color image; false to return a gray-scale image.

copyImageSlice

public static void copyImageSlice(Table t,
 long rowStart,
 int[] data,
 int nRow,
 int width,
 int height,
 boolean resize,
 boolean color)

Copies a slice of image rows into a flattened array. For color, the array is indexed as [row, height, width, channel], where channel is red, green, blue. For grayscale, the array is indexed as [row, height, width].

This is useful for copying table images directly into numpy arrays.

Parameters:

t - table to copy data from

rowStart - first row of data to copy

data - array to copy data into

nRow - number of rows to copy; also the number of rows in data.

width - width of the image

height - height of the image

resize - true to resize the image to the target size; false otherwise.

color - true to return a color image; false to return a gray-scale image.

copyImageSlice

public static void copyImageSlice(Table t,
 long rowStart,
 long[] data,
 int nRow,
 int width,
 int height,
 boolean resize,
 boolean color)

Copies a slice of image rows into a flattened array. For color, the array is indexed as [row, height, width, channel], where channel is red, green, blue. For grayscale, the array is indexed as [row, height, width].

This is useful for copying table images directly into numpy arrays.

Parameters:

t - table to copy data from

rowStart - first row of data to copy

data - array to copy data into

nRow - number of rows to copy; also the number of rows in data.

width - width of the image

height - height of the image

resize - true to resize the image to the target size; false otherwise.

color - true to return a color image; false to return a gray-scale image.

copyImageSlice

public static void copyImageSlice(Table t,
 long rowStart,
 float[] data,
 int nRow,
 int width,
 int height,
 boolean resize,
 boolean color)

Copies a slice of image rows into a flattened array. For color, the array is indexed as [row, height, width, channel], where channel is red, green, blue. For grayscale, the array is indexed as [row, height, width].

This is useful for copying table images directly into numpy arrays.

Parameters:

t - table to copy data from

rowStart - first row of data to copy

data - array to copy data into

nRow - number of rows to copy; also the number of rows in data.

width - width of the image

height - height of the image

resize - true to resize the image to the target size; false otherwise.

color - true to return a color image; false to return a gray-scale image.

copyImageSlice

public static void copyImageSlice(Table t,
 long rowStart,
 double[] data,
 int nRow,
 int width,
 int height,
 boolean resize,
 boolean color)

Copies a slice of image rows into a flattened array. For color, the array is indexed as [row, height, width, channel], where channel is red, green, blue. For grayscale, the array is indexed as [row, height, width].

This is useful for copying table images directly into numpy arrays.

Parameters:

t - table to copy data from

rowStart - first row of data to copy

data - array to copy data into

nRow - number of rows to copy; also the number of rows in data.

width - width of the image

height - height of the image

resize - true to resize the image to the target size; false otherwise.

color - true to return a color image; false to return a gray-scale image.

copyImageRand

public static void copyImageRand(Table t,
 int nRow,
 int width,
 int height,
 boolean resize,
 boolean color,
 long[] rows,
 com.illumon.integrations.numpy.Java2NumpyCopy.IntValSetter setter)

Copies a random selection of image rows into a flattened array. For color, the array is indexed as [row, height, width, channel], where channel is red, green, blue. For grayscale, the array is indexed as [row, height, width].

This is useful for copying table data directly into arrays.

Parameters:

t - table to copy data from

nRow - number of rows to copy; also the number of rows in data.

width - width of the image

height - height of the image

resize - true to resize the image to the target size; false otherwise.

color - true to return a color image; false to return a gray-scale image.

rows - indices of rows to copy. Null causes rows to be randomly generated.

setter - setter used to assign data

copyImageRand

public static void copyImageRand(Table t,
 short[] data,
 int nRow,
 int width,
 int height,
 boolean resize,
 boolean color,
 long[] rows)

Copies a random selection of image rows into a flattened array. For color, the array is indexed as [row, height, width, channel], where channel is red, green, blue. For grayscale, the array is indexed as [row, height, width].

This is useful for copying table data directly into numpy arrays.

Parameters:

t - table to copy data from

data - array to copy data into

nRow - number of rows to copy; also the number of rows in data.

width - width of the image

height - height of the image

resize - true to resize the image to the target size; false otherwise.

color - true to return a color image; false to return a gray-scale image.

rows - indices of rows to copy. Null causes rows to be randomly generated.

copyImageRand

public static void copyImageRand(Table t,
 int[] data,
 int nRow,
 int width,
 int height,
 boolean resize,
 boolean color,
 long[] rows)

Copies a random selection of image rows into a flattened array. For color, the array is indexed as [row, height, width, channel], where channel is red, green, blue. For grayscale, the array is indexed as [row, height, width].

This is useful for copying table data directly into numpy arrays.

Parameters:

t - table to copy data from

data - array to copy data into

nRow - number of rows to copy; also the number of rows in data.

width - width of the image

height - height of the image

resize - true to resize the image to the target size; false otherwise.

color - true to return a color image; false to return a gray-scale image.

rows - indices of rows to copy. Null causes rows to be randomly generated.

copyImageRand

public static void copyImageRand(Table t,
 long[] data,
 int nRow,
 int width,
 int height,
 boolean resize,
 boolean color,
 long[] rows)

Copies a random selection of image rows into a flattened array. For color, the array is indexed as [row, height, width, channel], where channel is red, green, blue. For grayscale, the array is indexed as [row, height, width].

This is useful for copying table data directly into numpy arrays.

Parameters:

t - table to copy data from

data - array to copy data into

nRow - number of rows to copy; also the number of rows in data.

width - width of the image

height - height of the image

resize - true to resize the image to the target size; false otherwise.

color - true to return a color image; false to return a gray-scale image.

rows - indices of rows to copy. Null causes rows to be randomly generated.

copyImageRand

public static void copyImageRand(Table t,
 float[] data,
 int nRow,
 int width,
 int height,
 boolean resize,
 boolean color,
 long[] rows)

Copies a random selection of image rows into a flattened array. For color, the array is indexed as [row, height, width, channel], where channel is red, green, blue. For grayscale, the array is indexed as [row, height, width].

This is useful for copying table data directly into numpy arrays.

Parameters:

t - table to copy data from

data - array to copy data into

nRow - number of rows to copy; also the number of rows in data.

width - width of the image

height - height of the image

resize - true to resize the image to the target size; false otherwise.

color - true to return a color image; false to return a gray-scale image.

rows - indices of rows to copy. Null causes rows to be randomly generated.

copyImageRand

public static void copyImageRand(Table t,
 double[] data,
 int nRow,
 int width,
 int height,
 boolean resize,
 boolean color,
 long[] rows)

Copies a random selection of image rows into a flattened array. For color, the array is indexed as [row, height, width, channel], where channel is red, green, blue. For grayscale, the array is indexed as [row, height, width].

This is useful for copying table data directly into numpy arrays.

Parameters:

t - table to copy data from

data - array to copy data into

nRow - number of rows to copy; also the number of rows in data.

width - width of the image

height - height of the image

resize - true to resize the image to the target size; false otherwise.

color - true to return a color image; false to return a gray-scale image.

rows - indices of rows to copy. Null causes rows to be randomly generated.