# Numpy.split() function example in python

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

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

Raises:
ValueError
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) ``` ` ` ` `