Skip to main content

No project description provided

Project description

VNAddressCorrector

Correct level ward (Phường/Xã), district (Quận/Huyện), province(Tỉnh/Thành Phố) in Vietnam address.

Installation

pip install vnac

Usage

>>> from vnac.corrector import AddressCorrector
>>> address = "Số 36A Đường 29, Ấp Tân Tiến, Tân Thìng Hội, Củ Chí, HCM"
>>> corrector = AddressCorrector()
>>> corrected = corrector.correct(address)
>>> corrected
Address(country=None, province=Division(name='HCM', code=79), district=Division(name='Củ Chi', code=None), ward=Division(name='Tân Thông Hội', code=None), street=Division(name='Số 36A Đường 29, Ấp Tân Tiến', code=None))
>>>str(corrected)
Số 36A Đường 29, Ấp Tân Tiến, Tân Thông Hội, Củ Chi, HCM

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

vnac-0.1.0.tar.gz (4.0 kB view details)

Uploaded Source

Built Distribution

vnac-0.1.0-py3-none-any.whl (4.7 kB view details)

Uploaded Python 3

File details

Details for the file vnac-0.1.0.tar.gz.

File metadata

  • Download URL: vnac-0.1.0.tar.gz
  • Upload date:
  • Size: 4.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.1 CPython/3.8.16 Linux/5.19.0-50-generic

File hashes

Hashes for vnac-0.1.0.tar.gz
Algorithm Hash digest
SHA256 9670af261275c08883b7073125741fc9f0b26ad2c0a5884bca558b3b2b67fc58
MD5 4e2ca2a10e40e5bef001a4b32a6e0a2f
BLAKE2b-256 9c5e21d5149c1b6f6ba129a3c037acd01922e77a54d43338496b92f4b73e3a16

See more details on using hashes here.

File details

Details for the file vnac-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: vnac-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 4.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.1 CPython/3.8.16 Linux/5.19.0-50-generic

File hashes

Hashes for vnac-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 4f41bdcdc490e5995a08a355918b517d8a980e7856d4fa613f74de733d6f163f
MD5 2cf9c2a191c20985398435623164cf52
BLAKE2b-256 0a02badb857a0712bb1c1a20d68bf557d0124ea5ad31a1b791d845da93df08c7

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page