Normalize Vector Example

Normalize a vector by dividing by its L2 norm.

Input vector:
v = [1 2 3 4 5 6]

Normalized vector normalize_lower(v):
[0.10482848 0.20965697 0.31448545 0.41931393 0.52414242 0.6289709 ]

import numpy as np
from spheresmooth import normalize_lower

# Example vector
v = np.array([1, 2, 3, 4, 5, 6])

print("Input vector:")
print("v =", v)

# Normalize
v_norm = normalize_lower(v)

print("\nNormalized vector normalize_lower(v):")
print(v_norm)