numpy.split

This function divides the array into subarrays along a specified axis. The function takes three parameters.

numpy.split(ary, indices_or_sections, axis)

Where,

Sr.No. Parameter & Description
1

ary

Input array to be split
2

indices_or_sections

Can be an integer, indicating the number of equal sized subarrays to be created from the input array. If this parameter is a 1-D array, the entries indicate the points at which a new subarray is to be created.
3

axis

Default is 0

Example

Live Demo 
import numpy as np 
a = np.arange(9) 

print 'First array:' 
print a 
print '\n'  

print 'Split the array in 3 equal-sized subarrays:' 
b = np.split(a,3) 
print b 
print '\n'  

print 'Split the array at positions indicated in 1-D array:' 
b = np.split(a,[4,7])
print b

Its output is as follows −

First array:
[0 1 2 3 4 5 6 7 8]

Split the array in 3 equal-sized subarrays:
[array([0, 1, 2]), array([3, 4, 5]), array([6, 7, 8])]

Split the array at positions indicated in 1-D array:
[array([0, 1, 2, 3]), array([4, 5, 6]), array([7, 8])]
numpy_array_manipulation.htm
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