Python | Numpy.dsplit() method
Last Updated :
17 Sep, 2019
Improve
With the help of
Python3 1=1
Output :
Python3 1=1
Output :
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)
[[[ 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)
[[[ 1 2 7] [ 8 5 10]]] [array([[[1], [8]]]), array([[[2], [5]]]), array([[[ 7], [10]]])]
