geopy是Python关于地理位置的一个第三方库，用这个库来进行地址位置信息的查询和转换非常方便，本文介绍关于geopy的常用的几种用法

geopy的安装

pip install geopy根据地址查询坐标及详细信息

>>> import json, logging>>> from geopy.geocoders import Nominatim>>> geolocator = Nominatim()>>> location = geolocator.geocode("北京天安门")>>> print location.address天安门, 1, 西长安街, 崇文, 北京市, 东城区, 北京市, 100010, 中国>>> print (location.latitude, location.longitude)(39.90733345, 116.391244079988)>>> print json.dumps(location.raw, indent=4, ensure_ascii=False, encoding='utf8'){ "display_name": "天安门, 1, 西长安街, 崇文, 北京市, 东城区, 北京市, 100010, 中国", "importance": 0.00025, "place_id": "74005413", "lon": "116.391244079988", "lat": "39.90733345", "osm_type": "way", "licence": "Data © OpenStreetMap contributors, ODbL 1.0. https://osm.org/copyright", "osm_id": "25097203", "boundingbox": [ "39.9072273", "39.9075343", "116.3906566", "116.3918428" ], "type": "yes", "class": "building"}根据坐标信息查询地址

>>> import json, logging>>> from geopy.geocoders import Nominatim>>> geolocator = Nominatim()>>> location = geolocator.reverse("39.90733345,116.391244079988")>>> print location.address天安门, 1, 西长安街, 崇文, 北京市, 东城区, 北京市, 100010, 中国>>> print json.dumps(location.raw, indent=4, ensure_ascii=False, encoding='utf8'){ "display_name": "天安门, 1, 西长安街, 崇文, 北京市, 东城区, 北京市, 100010, 中国", "place_id": "74005413", "lon": "116.391244079988", "boundingbox": [ "39.9072273", "39.9075343", "116.3906566", "116.3918428" ], "osm_type": "way", "licence": "Data © OpenStreetMap contributors, ODbL 1.0. https://osm.org/copyright", "osm_id": "25097203", "lat": "39.90733345", "address": { "building": "天安门", "city": "北京市", "house_number": "1", "country": "中国", "suburb": "东城区", "state": "北京市", "postcode": "100010", "country_code": "cn", "road": "西长安街" }}