Metadata-Version: 2.1
Name: AdresseParser
Version: 0.1.4
Summary: Parser d'adresses françaises
Home-page: UNKNOWN
Author: Maxime Challon
Author-email: maxime.challon@gmail.com
License: UNKNOWN
Description: ![GitHub](https://img.shields.io/github/license/MaximeChallon/AdresseParser?logo=License)
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        ![PyPI](https://img.shields.io/pypi/v/AdresseParser)
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        [![Build Status](https://travis-ci.org/MaximeChallon/AdresseParser.svg?branch=master)](https://travis-ci.org/MaximeChallon/AdresseParser)
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        # AddresseParser
        Package Python pour parser les adresses françaises.
        
        # Lancement
        
        Package disponible sur [PyPI](https://pypi.org/project/AdresseParser)
        
        Vous pouvez l'installer avec pip:
        ```bash
        pip install AdresseParser
        ```
        Exemple d'utilisation en console Python:
        ```bash
        >>> from AdresseParser import AdresseParser
        >>> adr_parser = AdresseParser()
        >>> result = adr_parser.parse("88 rue de rivoli 75002 paris")
        >>> print(result)
        {'numero': '88', 'rue': {'type': 'RUE', 'nom': 'RIVOLI'}, 'code_postal': '75002', 'ville': {'arrondissement': 2, 'nom': 'PARIS'}, 'departement': {'numero': 75, 'nom': 'Paris'}, 'region': 'Île-de-France', 'pays': 'France'}
        >>> print(result['rue'])
        {'type': 'RUE', 'nom': 'RIVOLI'}
        >>> print(result['ville']['arrondissement'])
        2
        ```
        
        # Return
        
        ```json
        {
            "numero": "str",
            "rue":{
                  "type": "str",
                  "nom": "str"
             },
            "code_postal": "str",
            "ville": {
                  "arrondissement": "int",
                  "nom": "str"
             },
            "departement": {
                  "numero": "str",
                  "nom": "str"
             },
            "region": "str",
            "pays": "France"
         }
        ```
        
Keywords: adresse France
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: French
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Education
Description-Content-Type: text/markdown
