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How to use the Numpy.square() in Python
Maria ElijahOverview
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
numpylibrary. - 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 thenp_list. - Line 10: We display the result.
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