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geonamescache 0.3.1

Geonames data for continents, cities and US states.

A Python library that provides functions to retrieve names and codes of continents, countries and US states as Python dictionaries.

Geonames data is obtained from GeoNames.

Installation

To install geonamescache, run:

$ sudo pip install geonamescache

Or, if necessary:

$ sudo easy_install geonamescache

Usage

A simple usage example:

import geonamescache

gc = geonamescache.GeonamesCache()
countries = gc.get_countries()
# print countries dictionary
print(countries)
# you really wanna do something more useful with the data...

Methods

Currently geonamescache provides the following methods, that all return dictionaries with the requested data:

  • get_continents()
  • get_countries()
  • get_us_states()
  • get_cities()
  • get_countries_by_names()
  • get_us_states_by_names()
  • get_cities_by_name(name)
  • get_us_counties()

Mappers

The mappers module provides function(s) to map data properties. Currently you can create a mapper that maps country properties, e. g. the name property to the iso3 property, to do so you’d write the following code:

from geonamescache.mappers import country
mapper = country(from_key='name', to_key='iso3')

iso3 = mapper('Spain') # iso3 is assigned ESP

Contributing

  1. Fork the repository on GitHub
  2. Commit your changes to the develop branch
  3. Write test(s) for any new feature
  4. Push your changes and send a pull request

If you wish to build the data from scratch, you can run the fabric file, fabfile.py. Before you can run this, you need to create an account in the Geonames system, then activate your account for API usage. Once you’ve created your account, you can run:

fab dl # Download the geonames data to the data directory GEONAMES_USER=<your-username-here> fab tojson # Convert the downloaded data to json

 
File Type Py Version Uploaded on Size
geonamescache-0.3.1-py3-none-any.whl (md5) Python Wheel 3.5 2016-09-25 914KB
geonamescache-0.3.1.tar.gz (md5) Source 2016-09-25 876KB