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 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]]])]
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