geopy
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 OpenStreetMap Nominatim, ESRI ArcGIS, Google Geocoding API (V3), Baidu Maps, Bing Maps API, Yahoo! PlaceFinder, GeoNames, MapQuest, OpenMapQuest, OpenCage, SmartyStreets, geocoder.us, and GeocodeFarm geocoder services. The various geocoder classes are located in geopy.geocoders.
© GeoPy Project and individual contributors under the MIT License.
Installation
Install using pip with:
pip install geopy
Or, download a wheel or source archive from PyPI.
Geocoding
To geolocate a query to an address and coordinates:
>>> from geopy.geocoders import Nominatim
>>> geolocator = Nominatim()
>>> location = geolocator.geocode("175 5th Avenue NYC")
>>> print(location.address)
Flatiron Building, 175, 5th Avenue, Flatiron, New York, NYC, New York, ...
>>> print(location.latitude, location.longitude)
(40.7410861, -73.9896297241625)
>>> print(location.raw)
{u'place_id': u'9167009604', u'type': u'attraction', ...}
To find the address corresponding to a set of coordinates:
>>> from geopy.geocoders import Nominatim
>>> geolocator = Nominatim()
>>> location = geolocator.reverse("52.509669, 13.376294")
>>> print(location.address)
Potsdamer Platz, Mitte, Berlin, 10117, Deutschland, European Union
>>> print(location.latitude, location.longitude)
(52.5094982, 13.3765983)
>>> print(location.raw)
{u'place_id': u'654513', u'osm_type': u'node', ...}
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.