我们调用高德地图的API来计算经纬度
#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)
我们输入下面两个地址,得到相应的经纬度。
address1 ='上海市徐汇区桂箐路靠近华鑫天地'
address2 ='上海市徐汇区田林路200号华鑫天地C座3楼'
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
最终结果如下,两个地方之间的距离约18公里
c * r * 1000 Out[58]: 18397.59615786144
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