Skip to main content

Python Geocoding Toolbox

Project description

geopy is a Python 2 and 3 client for several popular geocoding web services.

geopy makes it easy for Python developers to locate the coordinates of addresses, cities, countries, and landmarks across the globe using third-party geocoders and other data sources.

geopy includes geocoder classes for the ESRI ArcGIS, OpenStreetMap Nominatim, Google Geocoding API (V3), Yahoo! BOSS, geocoder.us, and Bing Maps API geocoder services, as well as several other. The various geocoder classes are located in geopy.geocoders.

© GeoPy Project and individual contributors under the MIT License.

Installation

Using pip:

pip install geopy

Or, manually: download the tarball from PyPI, unzip, and execute this in the same directory:

python setup.py install

Geocoding

To geolocate a query to an address and coordinates:

>>> from geopy.geocoders import GoogleV3
>>> geolocator = GoogleV3()
>>> address, (latitude, longitude) = geolocator.geocode("175 5th Avenue NYC")
>>> print(address, latitude, longitude)
175 5th Avenue, New York, NY 10010, USA 40.7410262 -73.9897806

To find the address corresponding to a set of coordinates:

>>> from geopy.geocoders import GoogleV3
>>> geolocator = GoogleV3()
>>> address, (latitude, longitude) = geolocator.reverse("40.752067, -73.977578")
>>> print(address, latitude, longitude)
77 East 42nd Street, New York, NY 10017, USA 40.7520802 -73.9775683

Measuring Distance

Geopy can calculate geodesic distance between two points using the Vincenty distance or great-circle distance formulas, with a default of Vincenty available as the class geopy.distance.distance, and the computed distance available as attributes (e.g., miles, meters, etc.).

Here’s an example usage of Vincenty distance:

>>> from geopy.distance import vincenty
>>> newport_ri = (41.49008, -71.312796)
>>> cleveland_oh = (41.499498, -81.695391)
>>> vincenty(newport_ri, cleveland_oh).miles
538.3904451566326

Using great-circle distance:

>>> from geopy.distance import great_circle
>>> newport_ri = (41.49008, -71.312796)
>>> cleveland_oh = (41.499498, -81.695391)
>>> great_circle(newport_ri, cleveland_oh).miles
537.1485284062816

Documentation

More documentation and examples can be found at Read the Docs.

Changelog

0.98 - February 5, 2014

CHANGED:

Geocoders’ geocode and reverse method return types have changed from None, a tuple, or a list of tuples, to None, a geopy.Location object, or a list of geopy.Location objects.

Location objects can be iterated over the same as the previous tuples for backwards compatibility, returning (address<String>, (latitude<Float>, longitude<Float>)).

geopy.Location objects also make returned data available as properties. Existing attributes are address, longitude, and latitude. Now available are the geocoder’s raw response as raw, and the location’s altitude as altitude.

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

geopy-0.98.tar.gz (61.7 kB view details)

Uploaded Source

File details

Details for the file geopy-0.98.tar.gz.

File metadata

  • Download URL: geopy-0.98.tar.gz
  • Upload date:
  • Size: 61.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for geopy-0.98.tar.gz
Algorithm Hash digest
SHA256 0a384922f102f268912697785cc63a911d8fce232e6a4daac8bf142489f8feee
MD5 f6cba893f13cdda8c920faa287c23385
BLAKE2b-256 49863e8e05617d97c3805e1a413c5167952fc3ca0f6a5d7267493fb61e896966

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