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]]])]
