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, GeocodeFarm, 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.
pip install geopy
Or, manually: download the tarball from PyPI, unzip, and execute this in the same directory:
python setup.py install
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
Geopy can calculate geodesic distance between two points using the
Vincenty distance or
formulas, with a default of Vincenty available as the class
geopy.distance.distance, and the computed distance available as attributes
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
More documentation and examples can be found at Read the Docs.