使用numpy计算各种向量距离

import numpy as np

def euclidean_distance(vec1, vec2):
    ‘‘‘欧氏距离‘‘‘
    return np.linalg.norm(vec1-vec2)

def cosine_similarity(vec1, vec2):
    ‘‘‘向量夹角的余弦值‘‘‘
    return np.dot(vec1,vec2)/(np.linalg.norm(vec1)*(np.linalg.norm(vec2)))
    
def angle(vec1, vec2, degree=False):
    ‘‘‘向量夹角，通过degree=True切换弧度制到角度制‘‘‘
    angle = np.arccos(np.dot(vec1,vec2)/(np.linalg.norm(vec1)*(np.linalg.norm(vec2))))
    if degree:
        angle = angle*180/np.pi
    return angle