Row-wise Matrix Normalization Example

Normalize each row of a matrix by dividing by its L2 norm.

Input matrix:
[[1 2 3]
 [4 5 6]]

Row-wise normalized matrix normalize(x):
[[0.26726124 0.53452248 0.80178373]
 [0.45584231 0.56980288 0.68376346]]

import numpy as np
from spheresmooth import normalize

# Example matrix (2 × 3)
x = np.array([
    [1, 2, 3],
    [4, 5, 6]
])

print("Input matrix:")
print(x)

# Row-wise normalization
x_norm = normalize(x)

print("\nRow-wise normalized matrix normalize(x):")
print(x_norm)