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How to calculate sum of columns and rows in Numpy?

Posted on March 23, 2021September 5, 2023 By Pythoneo

How to calculate the sum of columns and rows in the Numpy Python library? Let’s find out in the python tutorial below.
numpy sum of columns

In Numpy, you can quickly sum columns and rows of your array.

Example of numpy sum

To calculate the sum of array columns, just add the 0 parameter.

import numpy as np

my_array = np.array([[1, 2, 3],
                    [4, 5, 6],
                    [7, 8, 9]])
print(my_array)
print("Sum of columns equals: ", np.sum(my_array, 0))

numpy sum of columns
Similarly, to sum up rows, add 1 as a parameter.

import numpy as np

my_array = np.array([[1, 2, 3],
                    [4, 5, 6],
                    [7, 8, 9]])
print(my_array)
print("Sum of rows equals: ", np.sum(my_array, 1))

numpy sum of rows

To sum up every array element, just remove the parameters.

import numpy as np

my_array = np.array([[1, 2, 3],
                    [4, 5, 6],
                    [7, 8, 9]])
print(my_array)
print("Sum of every elements of your array equals: ", np.sum(my_array))

numpy sum of array python

See also  How to stack arrays in Numpy?
numpy Tags:array, sum

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