Related Articles

# 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]]])]

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course

My Personal Notes arrow_drop_up