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numpy.hsplit() function | Python

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numpy.hsplit() function split an array into multiple sub-arrays horizontally (column-wise). hsplit is equivalent to split with axis=1, the array is always split along the second axis regardless of the array dimension.
Syntax : numpy.hsplit(arr, indices_or_sections) Parameters : arr : [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 indices_or_sections is a 1-D array of sorted integers, the entries indicate where along axis the array is split Return : [ndarray] A list of sub-arrays.
Code #1 :
# Python program explaining
# numpy.hsplit() function
  
# importing numpy as geek 
import numpy as geek
  
arr = geek.arange(16.0).reshape(4, 4)
  
gfg = geek.hsplit(arr, 2)
  
print (gfg)

                    
Output :
[array([[  0.,   1.],
       [  4.,   5.],
       [  8.,   9.],
       [ 12.,  13.]]), array([[  2.,   3.],
       [  6.,   7.],
       [ 10.,  11.],
       [ 14.,  15.]])]
  Code #2 :
# Python program explaining
# numpy.hsplit() function
  
# importing numpy as geek 
import numpy as geek
  
arr = geek.arange(27.0).reshape(3, 3, 3)
  
gfg = geek.hsplit(arr, 1)
  
print (gfg)

                    
Output :
[array([[[  0.,   1.,   2.],
        [  3.,   4.,   5.],
        [  6.,   7.,   8.]],

       [[  9.,  10.,  11.],
        [ 12.,  13.,  14.],
        [ 15.,  16.,  17.]],

       [[ 18.,  19.,  20.],
        [ 21.,  22.,  23.],
        [ 24.,  25.,  26.]]])]


Last Updated : 22 Apr, 2020
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