Python | Numpy.dsplit() method (original) (raw)

Last Updated : 17 Sep, 2019

With the help of **Numpy.dsplit()()** method, we can get the splitted dimensions of an array by using Numpy.dsplit()() method.

Syntax : Numpy.dsplit(numpy.array(), split_size)

Return : Return the array having splitted dimensions.

Example #1 :

In this example we can see that using Numpy.expand_dims() method, we are able to get the splitted dimensions using this method.

import numpy as np

gfg = np.array([[ 1 , 2 , 5 ],

`` [ 3 , 4 , 10 ],

`` [ 5 , 6 , 15 ],

`` [ 7 , 8 , 20 ]])

gfg = gfg.reshape( 1 , 2 , 6 )

print (gfg)

gfg = np.dsplit(gfg, 2 )

print (gfg)

Output :

[[[ 1 2 5 3 4 10]
[ 5 6 15 7 8 20]]]

[array([[[ 1, 2, 5],
[ 5, 6, 15]]]),
array([[[ 3, 4, 10],
[ 7, 8, 20]]])]

Example #2 :

import numpy as np

gfg = np.array([[ 1 , 2 ], [ 7 , 8 ], [ 5 , 10 ]])

gfg = gfg.reshape( 1 , 2 , 3 )

print (gfg)

gfg = np.dsplit(gfg, 3 )

print (gfg)

Output :

[[[ 1 2 7]
[ 8 5 10]]]

[array([[[1],
[8]]]), array([[[2],
[5]]]), array([[[ 7],
[10]]])]