Numpy hsplit - Python NumPy hsplit() Function

NumPy hsplit() Function:

Numpy hsplit: The hsplit() function of the Numpy module is used to split an array into multiple sub-arrays horizontally (column-wise).

hsplit is equivalent to split with axis=1, and regardless of the array dimension, the array is always split along the second axis.

Syntax:

numpy.hsplit(array, indices_or_sections)

Parameters

array: This is required. It is the input array to be split into multiple sub-arrays.

indices_or_sections: This is required. It specifies the indices or sections as an int or a 1-D array.

If indices_or_sections is an integer, N, the array will be divided horizontally into N equal arrays. An error is raised if such a split is not possible.
If indices_or_sections is a one-dimensional(1D) array of sorted integers, the entries indicate where the array is split horizontally.
If an index exceeds the horizontal dimension of the array, an empty sub-array is returned correspondingly.

Return Value:

Hssplit: A list of sub-arrays as views into the given array is returned.

NumPy hsplit() Function in Python

Example1

Approach:

Import numpy module using the import keyword.
Pass some random list(multi-dimensional) as an argument to the array() function to create an array.
Store it in a variable.
Print the above-given array.
Pass the given array, indices value(here it is 3) as an argument to the hsplit() function to horizontally split the array.
Store it in another variable.
Print the above horizontally split Array.
The Exit of the Program.

Below is the implementation:

# Import numpy module using the import keyword
import numpy as np
# Pass some random list(multi-dimensional) as an argument to the array() function to
# create an array. 
# Store it in a variable.
gvn_arry = np.array([[1, 2, 3],
                   [4, 5, 6],
                   [7, 8, 9]])
# Print the above given array.
print("The above given array is:")
print(gvn_arry)
# Pass the given array, indices value(here it is 3) as an argument to the hsplit()function to 
# horizontally split the array
# Store it in another variable.
splt_arry = np.hsplit(gvn_arry, 3)
# Print the above horizontally split Array
print("The above horizontally split Array is:")
print(splt_arry)

Output:

The above given array is:
[[1 2 3]
 [4 5 6]
 [7 8 9]]
The above horizontally split Array is:
[array([[1],
            [4],
            [7]]), array([[2],
            [5],
            [8]]), array([[3],
            [6],
            [9]])]

Example2

Hsplit: When indices_or_sections is given as a 1-dimensional array of sorted integers, the elements indicate where the array is split horizontally.

# Import numpy module using the import keyword
import numpy as np
# Pass some random list(multi-dimensional) as an argument to the array() function to
# create an array. 
# Store it in a variable.
gvn_arry = np.array([[11, 12, 13, 14],
                   [15, 16, 17, 18],
                   [19, 20, 21, 22]])
                  
# Print the above given array.
print("The above given array is:")
print(gvn_arry)
# Pass the given array, indices value as 1D array as an argument to the hsplit() to 
# horizontally split the array
# Store it in another variable.
splt_arry = np.hsplit(gvn_arry, [1,2])
# Print the above horizontally split Array
print("The above horizontally split Array is:")
print(splt_arry)

Output:

The above given array is:
[[11 12 13 14]
 [15 16 17 18]
 [19 20 21 22]]
The above horizontally split Array is:
[array([[11],
           [15],
           [19]]), array([[12],
           [16],
           [20]]), array([[13, 14],
           [17, 18],
           [21, 22]])]

Numpy hsplit – Python NumPy hsplit() Function

NumPy hsplit() Function in Python

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