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How to use the Numpy.square() in Python

Maria Elijah

Overview

NumPy is a Python library that has various functions to perform calculations on the arrays of numeric data. One of these is the square() function.

The numpy.square() function

The numpy.square() function computes the square value of each array element.

Syntax

numpy.square(arr)

Parameter

  • arr: This represents the input array whose element we need to square.

Code

The following code shows how to use the numpy.square() in Python:

# import numpy
import numpy as np
# create a list
my_list = [24,8,3,4,34,8]
# convert the list to numpy array
np_list = np.array(my_list)
# compute the square of each element and store it
np_list_square = np.square(np_list)

print(np_list_square)

Explanation

  • Line 2: We import the numpy library.
  • Line 4: We create a list called my_list.
  • Line 6: We convert the list to a NumPy array and store it in a variable np_list.
  • Line 8: We use the np.square() to compute the square of each element in the np_list.
  • Line 10: We display the result.

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