Last Updated : 17 Sep, 2019
With the help of
numpy.array_split()
method, we can get the splitted array of having different dimensions by using
numpy.array_split()
method.
Syntax : numpy.array_split() Return : Return the splitted array of one dimension.
Example #1 :
In this example we can see that by using
numpy.array_split()
method, we are able to split the array in the number of subarrays by passing it as a parameter.
Python3 1=1
# import numpy
import numpy as np
array = np.arange(9)
# using numpy.array_split() method
gfg = np.array_split(array, 4)
print(gfg)
Output :
[array([0, 1, 2]), array([3, 4]), array([5, 6]), array([7, 8])]Example #2 : Python3 1=1
# import numpy
import numpy as np
array = [[1, 2, 3],
[4, 5, 6],
[7, 8, 9]]
# using numpy.array_split() method
gfg = np.array_split(array, 3)
print(gfg)
Output :
[array([[1, 2, 3]]), array([[4, 5, 6]]), array([[7, 8, 9]])]
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