Metadata-Version: 2.1
Name: pandas-datapackage-reader
Version: 0.14.0
Summary: Pandas Data Package Reader
Home-page: https://github.com/rgieseke/pandas-datapackage-reader
Author: Robert Gieseke
Author-email: robert.gieseke@pik-potsdam.de
License: BSD
Description: [![PyPI](https://img.shields.io/pypi/v/pandas-datapackage-reader.svg)](https://pypi.python.org/pypi/pandas-datapackage-reader/)
        [![Travis](https://img.shields.io/travis/rgieseke/pandas-datapackage-reader.svg)](https://travis-ci.org/rgieseke/pandas-datapackage-reader)
        [![Codecov](https://img.shields.io/codecov/c/github/rgieseke/pandas-datapackage-reader.svg)](https://codecov.io/gh/rgieseke/pandas-datapackage-reader)
        
        # pandas-datapackage-reader
        
        Easy loading of tabular data from [Data Packages](http://frictionlessdata.io/data-packages/) into Pandas DataFrames.
        
        ## Installation
        
            pip install pandas-datapackage-reader
        
        ## Usage
        
        ```python
        from pandas_datapackage_reader import read_datapackage
        
        # From GitHub repository
        country_codes = read_datapackage("https://github.com/datasets/country-codes")
        
        # From local directory
        country_codes = read_datapackage("country-codes")
        
        # Data Package with GeoJSON
        geo_countries = read_datapackage("https://github.com/datasets/geo-countries")
        ```
        
        Resource metadata from the Data Package is returned as a dictionary in the
        `_metadata` attribute.
        
        ```python
        country_codes._metadata
        ```
        
        contains
        
        ```
        {'format': 'csv',
          'name': 'country-codes',
          'path': 'data/country-codes.csv',
          'schema': {'fields': [{'description': 'Country or Area official Arabic short name from UN Statistics Divsion',
                'name': 'official_name_ar',
                'title': 'official name Arabic',
                'type': 'string'},
              {'description': 'Country or Area official Chinese short name from UN Statistics Divsion',
                'name': 'official_name_cn',
                'title': 'official name Chinese',
                'type': 'string'},
        # ...
        ```
        
        ## License
        
        BSD-2-Clause, see [LICENSE](LICENSE)
        
Keywords: data-package
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
Provides-Extra: tests
