# Python | Numpy.dsplit() method

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([[,
]]), array([[,
]]), array([[[ 7],
]])]

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