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an useful tool for ending your boring work

Project description

fastwork

致力于让你繁琐的工作自动化,让你有更多的精力和时间去提升自己的认知和影响力。 欢迎关注我的微信公众号:人文互联网。

安装

pip install china-district

依赖库

requests=2.22.0

基础使用示例

基础使用,默认使用作者自己的高德地图开发者key,每天上限调用30万次。超过这个限制将无法使用。

>>> In [1]: from china_district import District
# 初始化District,默认只返回下一级行政区,不返回行政区边界坐标点
>>> In [2]: d=District()

>>> In [3]: d.get("武侯区")
{'status': '1',
 'info': 'OK',
 'infocode': '10000',
 'count': '1',
 'suggestion': {'keywords': [], 'cities': []},
 'districts': [{'citycode': '028',
   'adcode': '510107',
   'name': '武侯区',
   'center': '104.05167,30.630862',
   'level': 'district',
   'districts': [{'citycode': '028',
     'adcode': '510107',
     'name': '金花桥街道',
     'center': '103.973,30.6029',
     'level': 'street',
     'districts': []},
……}
# 将当前搜索结果(json对象)写入到当前目录,默认文件名"搜索关键词.json"
>>> d.to_json("武侯区")
	写入本地完成...

高级使用示例

>>> In [1]: from china_district import District
# 初始化District,key为高德地图开发者key,subdistrict设置显示下级行政区级数,extensions设置行政区信息中是否返回行政区边界坐标点,”base"不返回,“all"返回

>>> In [5]:d = District(key="182ad5d7061ed1e421091c22089c3677",subdistrict=3,extensions="all")

Out[6]: 
{'status': '1',
 'info': 'OK',
 'infocode': '10000',
 'count': '1',
 'suggestion': {'keywords': [], 'cities': []},
 'districts': [{'citycode': '028',
   'adcode': '510107',
   'name': '武侯区',
   'polyline': '103.949841,30.658586;103.949928,30.658864;103.950137,30.659044;103.950415,30.659121;103.950667,30.6591;103.952425,30.658587;103.952869,30.658525;103.95333,30.658589;103.953
687,30.658726;103.953966,30.658948;103.954261,30.659335;103.954984,30.660906;103.955149,30.661113;103.955472,30.661348;103.95575,30.661423;103.956107,30.661436;103.957439,30.661364;103.957……```}

请求参数说明

了解更多

高德地图行政区域查询接口:https://lbs.amap.com/api/webservice/guide/api/district

License

Licensed under the MIT License.

Download files

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