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bundles / numpy 2.4.3 / numpy / split

_ArrayFunctionDispatcher

numpy:split

source: /numpy/lib/_shape_base_impl.py :798

Signature

def   split ( ary ,  indices_or_sections ,  axis = 0 )

Summary

Split an array into multiple sub-arrays as views into ary.

Parameters

ary : ndarray

Array to be divided into sub-arrays.

indices_or_sections : int or 1-D array

If indices_or_sections is an integer, N, the array will be divided into N equal arrays along axis. If such a split is not possible, an error is raised.

If indices_or_sections is a 1-D array of sorted integers, the entries indicate where along axis the array is split. For example, [2, 3] would, for axis=0, result in

  • ary[:2]

  • ary[2:3]

  • ary[3:]

If an index exceeds the dimension of the array along axis, an empty sub-array is returned correspondingly.

axis : int, optional

The axis along which to split, default is 0.

Returns

sub-arrays : list of ndarrays

A list of sub-arrays as views into ary.

Raises

: ValueError

If indices_or_sections is given as an integer, but a split does not result in equal division.

Examples

import numpy as np
x = np.arange(9.0)
✓
np.split(x, 3)
✗
x = np.arange(8.0)
✓
np.split(x, [3, 5, 6, 10])
✗

See also

array_split

Split an array into multiple sub-arrays of equal or near-equal size. Does not raise an exception if an equal division cannot be made.

concatenate

Join a sequence of arrays along an existing axis.

dsplit

Split array into multiple sub-arrays along the 3rd axis (depth).

dstack

Stack arrays in sequence depth wise (along third dimension).

hsplit

Split array into multiple sub-arrays horizontally (column-wise).

hstack

Stack arrays in sequence horizontally (column wise).

stack

Join a sequence of arrays along a new axis.

vsplit

Split array into multiple sub-arrays vertically (row wise).

vstack

Stack arrays in sequence vertically (row wise).

Aliases

  • numpy.split