NumPy Norms

norms.py

>>> import numpy as np

>>> # Create five vectors of size two to compute the norms for.
>>> values = np.array([[v, v] for v in np.arange(0.0, 1.0, 0.2)])
>>> values
array([[ 0. ,  0. ],
       [ 0.2,  0.2],
       [ 0.4,  0.4],
       [ 0.6,  0.6],
       [ 0.8,  0.8]])

>>> # For each row, compute the L2 norm.
>>> l2 = np.linalg.norm(values, ord=2, axis=1, keepdims=True) 
>>> l2
array([[ 0.        ],
       [ 0.28284271],
       [ 0.56568542],
       [ 0.84852814],
       [ 1.13137085]])

>>> # For each row, compute the L1 norm.
>>> l1 = np.linalg.norm(values, ord=1, axis=1, keepdims=True) 
>>> l1
array([[ 0. ],
       [ 0.4],
       [ 0.8],
       [ 1.2],
       [ 1.6]])