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NumPy: Normalize a 3x3 random matrix

NumPy: Random Exercise-7 with Solution

Write a NumPy program to normalize a 3x3 random matrix.

Sample Solution:

Python Code :

import numpy as np
x= np.random.random((3,3))
print("Original Array:")
print(x)
xmax, xmin = x.max(), x.min()
x = (x - xmin)/(xmax - xmin)
print("After normalization:")
print(x)

Sample Output:

Original Array:                                                        
[[ 0.89372503  0.99865458  0.77120044]                                 
 [ 0.67632984  0.99990084  0.64110391]                                 
 [ 0.34845794  0.66557903  0.29031742]]                                
After normalization:                                                   
[[ 0.85036881  0.99824367  0.67769765]                                 
 [ 0.54399864  1.          0.49435553]                                 
 [ 0.08193614  0.52884777  0.        ]]

Pictorial Presentation:

NumPy Random: Normalize a 3x3 random matrix.

Python Code Editor:

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Python: Tips of the Day

Big Number Readability:

you can separate zeros with underscore (_)

print(2_000_000)
print(2_000_000 +1)

Output:

2000000
2000001