Ross ROSS = Recommend OSS · open-source software intelligence for agents

DQinYuan/chinese_province_city_area_mapper

一个用于提取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 observed · 2026-08-28

github.com/DQinYuan/chinese_province_city_area_mapper · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3104
  • days_rel: n/a
  • days_push: 898
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1796 stars · 402 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python library (pip package 'cpca') that extracts province, city, and district names from simplified Chinese address strings and maps them to their full administrative hierarchy. It outputs results as a pandas DataFrame with adcodes and supports simple mapping/plotting.

Use cases

  • extract province city and district from chinese addresses
  • parse chinese address strings into structured fields
  • normalize chinese addresses to administrative divisions
  • map a chinese district to its city and province
  • clean messy shipping addresses in python
  • get adcode for chinese location names

When to choose

  • you need to parse simplified Chinese addresses into province/city/district columns
  • you want a lightweight pandas-based address extraction tool
  • you need administrative division codes (adcode) for Chinese locations

When to avoid

  • you need full geocoding to latitude/longitude coordinates
  • you need to parse traditional Chinese or non-Chinese addresses
  • you need high-throughput production NLP with deep learning models

Facets

library · maturity maintenance

nlp parser data-science data-science python cross-platform chinese-address-parsing administrative-divisions pandas geocoding cpca natural-language-processing china

2 sources

Member repositories

RepositoryRoleHealth v2
DQinYuan/chinese_province_city_area_mappermain32

For agents

markdown · JSON · MCP: product_card(name="DQinYuan/chinese_province_city_area_mapper")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem