Python | numpy.array_split() method

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.

# 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 :

# 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]])]

Python | Numpy fromarrays() method

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