In python, an array is a data structure used to store multiple items of the same type together. They are helpful when dealing with many values of the same data type. An array needs to import the array module for explicit declaration.
numpy.array_split() method in python is simply used to split an array into multiple sub-arrays of equal size. It takes these parameters:
ary: This represents the input array. This parameter is required.
indices_or_section: This represents the number of splits to be returned. This parameter is required.
axis: This is the axis along which the values are appended. This parameter is optional.
In this shot, we want to see how we can easily access the newly split arrays using their index position.
import numpy as np array1 = np.array([1, 2, 3, 4]) # splitting the array into three new_array1 = np.array_split(array1, 3) print('The split arrays are:', new_array1) # to access the first split array print('The first split array is:', new_array1) # to access the second split array print('The second split array is: ', new_array1) # to access the second split array print('The third split array is: ', new_array1)
array1, using the
numpy.array_split()method and assigned it to a variable called
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