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Python | numpy.array_split() method

Last Updated : 17 Sep, 2019
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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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