Building Cloud Expertise with centron - Our Tutorials

Whether you are a beginner or an experienced professional, our practical tutorials provide you with the knowledge you need to make the most of our cloud services.

numpy.square() in Python – 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]

Start Your Cloud Journey Today with Our Free Trial!

Dive into the world of cloud computing with our exclusive free trial offer. Experience the power, flexibility, and scalability of our cloud solutions firsthand.

Try for free!