Question

Using Python:

Normalize a 5x5 random matrix

hints:

• use numpy
• create a random matrix X
• apply Normalization: (X - Mean) / Deviation

Answer 1

Code

import numpy as np #import numpy
matrix = np.random.random((5,5)) #matrix of 5x5
minimum=matrix.min()
maximum=matrix.max()
print("Before Normalization: ")
print(matrix)
print()
matrix=(matrix-minimum)/(maximum-minimum) #normalization
print("After Normalization: ")
print(matrix)

Terminal Work

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