范数的归一化

程序代码与测试验证

import numpy as np

def normalize(v,axis,order):

    l2=np.linalg.norm(v,axis=axis,ord=order,keepdims=True)

    l=v/l2

    return l

c=np.array([[1,2,3,10,19],[4,5,6,17,28],[11,21,7,45,8]])

print(normalize(c,axis=0,order=1),'\n')

print(normalize(c,axis=1,order=1),'\n')

print(normalize(c,axis=0,order=2),'\n')

print(normalize(c,axis=1,order=2),'\n')

print(c/np.linalg.norm(c,ord=1,axis=0,keepdims=True),'\n')

print(c/np.linalg.norm(c,ord=1,axis=1,keepdims=True),'\n')

print(c/np.linalg.norm(c,ord=2,axis=0,keepdims=True),'\n')

print(c/np.linalg.norm(c,ord=2,axis=1,keepdims=True),'\n')