How to MULTIPLY numerical value to each element of a matrix?

How to MULTIPLY numerical value to each element of a matrix?

How to MULTIPLY numerical value to each element of a matrix?

This recipe helps you MULTIPLY numerical value to each element of a matrix


Recipe Objective

Have you ever tried to perform a matematical opration on a matrix?

So this is the recipe on how we can can multiply something to each element of a matrix.

Step 1 - Importing Library

import numpy as np

We have only imported numpy which is needed.

Step 2 - Creating a matrix

We have created a matrix using numpy array. matrixA = np.array([[2, 3, 23], [5, 6, 25], [8, 9, 28]])

Step 3 - Multipling a number

We have created a lambda function to multiply a number with the elements and we have used it on the elements of matrix. multiply_100 = lambda i: i * 100 vectorized_multiply_100 = np.vectorize(multiply_100) print(vectorized_multiply_100(matrixA)) So the output comes as

[[ 200  300 2300]
 [ 500  600 2500]
 [ 800  900 2800]]

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