// Tutorial //

numpy.square() in Python

Published on August 3, 2022
Default avatar
By Pankaj
Developer and author at DigitalOcean.
numpy.square() in Python

While we believe that this content benefits our community, we have not yet thoroughly reviewed it. If you have any suggestions for improvements, please let us know by clicking the “report an issue“ button at the bottom of the tutorial.

Python numpy.square() function returns a new array with the element value as the square of the source array elements. The source array remains unchanged.

Python numpy.square() Examples

It’s a utility function to quickly get the square of the matrix elements. Let’s look at the examples of numpy square() function with integer, float, and complex type array elements.

1. numpy square() int array

import numpy as np

# ints
array_2d = np.array([[1, 2, 3], [4, 5, 6]])

print(f'Source Array:\n{array_2d}')

array_2d_square = np.square(array_2d)

print(f'Squared Array:\n{array_2d_square}')


Source Array:
[[1 2 3]
 [4 5 6]]
Squared Array:
[[ 1  4  9]
 [16 25 36]]

2. numpy square() floating point array

import numpy as np

array_2d_float = np.array([1.2, 2.3, 5])

print(f'Source Array:\n{array_2d_float}')

array_2d_float_square = np.square(array_2d_float)

print(f'Squared Array:\n{array_2d_float_square}')


Source Array:
[1.2 2.3 5. ]
Squared Array:
[ 1.44  5.29 25.  ]

Notice that the integer in the floating-point array has been converted to a floating-point number.

3. numpy square() complex numbers array

arr = np.array([1 + 2j, 2 + 3j, 4])

print(f'Source Array:\n{arr}')

arr_square = np.square(arr)

print(f'Squared Array:\n{arr_square}')


Source Array:
[1.+2.j 2.+3.j 4.+0.j]
Squared Array:
[-3. +4.j -5.+12.j 16. +0.j]

Here the integer element is converted to a complex number. Reference: API Doc

Thanks for learning with the DigitalOcean Community. Check out our offerings for compute, storage, networking, and managed databases.

Learn more about us

About the authors
Default avatar


Developer and author at DigitalOcean.

Still looking for an answer?

Ask a questionSearch for more help

Was this helpful?

Try DigitalOcean for free

Click here to Sign up and get $200 of credit to try our products over 60 days!