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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.






# 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 :




# 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]]])]

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