Numpy.split() function example in python

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Numpy.split(): This function Split an array into multiple sub-arrays.

Syntax: numpy.split(ary, indices_or_sections, axis=0)
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

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.

sub-arrays : list of ndarrays
A list of sub-arrays.

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

import numpy as np x=np.array([1,2,3,4,5,6,7,8,9]) y=np.split(x, 3) print(y)


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