chinese_province_city_area_mapper
chinese_province_city_area_mapper：一个用于识别简体中文字符串中省，市和区并能够进行映射，检验和简单绘图的python模块
举个例子:
["徐汇区虹漕路461号58号楼5楼", "泉州市洛江区万安塘西工业区"]
↓ 转换
|省 |市 |区 |地址 |
|上海市|上海市|徐汇区|虹漕路461号58号楼5楼 |
|福建省|泉州市|洛江区|万安塘西工业区 |
chinese_province_city_area_mapper: built to be recognize Chinese province,city and area in simplified Chinese string, it can automaticall map area to city and map city to province.
for example:
["徐汇区虹漕路461号58号楼5楼", "泉州市洛江区万安塘西工业区"]
↓ transform
|省 |市 |区 |地址 |
|上海市|上海市|徐汇区|虹漕路461号58号楼5楼 |
|福建省|泉州市|洛江区|万安塘西工业区 |
完整文档见该模块的Github， GitHub: https://github.com/DQinYuan/chinese_province_city_area_mapper
安装说明
- 代码目前仅仅支持python3
pip install cpca
Get Started
本模块中最主要的方法是cpca.transform, 该方法可以输入任意的可迭代类型（如list，pandas的Series类型等）， 然后将其转换为一个DataFrame，下面演示一个最为简单的使用方法:
location_str = ["徐汇区虹漕路461号58号楼5楼", "泉州市洛江区万安塘西工业区", "北京朝阳区北苑华贸城"] import cpca df = cpca.transform(location_str) df
输出的结果为:
省 市 区 地址 adcode 0 上海市 上海市 徐汇区 虹漕路461号58号楼5楼 310104 1 福建省 泉州市 洛江区 万安塘西工业区 350504 2 北京市 市辖区 朝阳区 北苑华贸城 110105
如果还想知道更多的细节，请访问该 模块的github地址 https://github.com/DQinYuan/chinese_province_city_area_mapper， 在那里我写了更多的细节
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Metadata
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Release files for cpca 0.5.5
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| cpca-0.5.5.tar.gz | 10.0 kB | Without provenance | Details |
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| File | Interpreter | ABI | Platform | Reset |
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| cpca-0.5.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 86.6 kB
Release files / cpca-0.5.5.tar.gz
| Download URL | cpca-0.5.5.tar.gz |
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| Size | 10.0 kB |
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Release files / cpca-0.5.5-py3-none-any.whl
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| Size | 76.6 kB |
| Tags | Python 3 |
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