Python | Numpy.dsplit() method

Python | Numpy.dsplit() method

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.

Python3 1=1

# import numpy
import numpy as np

# using Numpy.dsplit() method
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 :

Python3 1=1

# import numpy
import numpy as np

# using Numpy.expand_dims() method
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]]])]

Python | Numpy.dsplit() method

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