python计算两个地址之间的距离方法

#计算地址经纬度
import requests
def geocode(address):
 parameters = {'address': address, 'key': 'cb649a25c1f81c1451adbeca73623251'}
 base = 'http://restapi.amap.com/v3/geocode/geo'
 response = requests.get(base, parameters)
 answer = response.json()
 print(address + "的经纬度：", answer['geocodes'][0]['location'])
 lon = float(answer['geocodes'][0]['location'].split(',')[0])
 lat = float(answer['geocodes'][0]['location'].split(',')[1])
geocode(address) 

上海市徐汇区桂箐路靠近华鑫天地的经纬度： 121.407124,31.169677
上海市浦东新区张江高科技园的经纬度： 121.593357,31.214343
lon1 = 121.407124
lat1 = 31.169677
lon2 = 121.593357
lat2 =31.214343

#计算距离 
from math import radians, cos, sin, asin, sqrt 
# 将十进制度数转化为弧度 
lon1, lat1, lon2, lat2 = map(radians, [lon1, lat1, lon2, lat2]) 
# haversine公式 
dlon = lon2 - lon1 
dlat = lat2 - lat1 
a = sin(dlat/2)**2 + cos(lat1) * cos(lat2) * sin(dlon/2)**2 
c = 2 * asin(sqrt(a)) 
r = 6371 # 地球平均半径，单位为公里 
return c * r * 1000 

c * r * 1000 
Out[58]: 18397.59615786144