numpy normalize matrix

def normalize(v):
    norm = np.linalg.norm(v)
    if norm == 0: 
       return v
    return v / norm

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Krish 100200 points

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

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