Skip to main content

Pandas Data Package Reader

Project description

PyPI CI

pandas-datapackage-reader

Easy loading of tabular data from Data Packages into Pandas DataFrames.

Installation

pip install pandas-datapackage-reader

Usage

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.

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

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

pandas-datapackage-reader-0.18.0.tar.gz (22.6 kB view hashes)

Uploaded Source

Built Distribution

pandas_datapackage_reader-0.18.0-py2.py3-none-any.whl (5.5 kB view hashes)

Uploaded Python 2 Python 3

Supported by

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