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, Yandex, IGN France, GeoNames, Mapzen Search, OpenMapQuest, PickPoint, What3Words, OpenCage, SmartyStreets, and GeocodeFarm geocoder services. The various geocoder classes are located in geopy.geocoders.
geopy is tested against CPython (versions 2.7, 3.4, 3.5, 3.6), PyPy, and PyPy3. geopy does not and will not support CPython 2.6.
© geopy contributors 2006-2015 (see AUTHORS) under the MIT License.
Installation
Install using pip with:
pip install geopy
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)
{'place_id': '9167009604', 'type': '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)
{'place_id': '654513', 'osm_type': 'node', ...}
Measuring Distance
Geopy can calculate geodesic distance between two points using the geodesic distance or the great-circle distance, with a default of the geodesic distance available as the function geopy.distance.distance.
Here’s an example usage of the geodesic distance:
>>> from geopy.distance import geodesic >>> newport_ri = (41.49008, -71.312796) >>> cleveland_oh = (41.499498, -81.695391) >>> print(geodesic(newport_ri, cleveland_oh).miles) 538.390445368
Using great-circle distance:
>>> from geopy.distance import great_circle >>> newport_ri = (41.49008, -71.312796) >>> cleveland_oh = (41.499498, -81.695391) >>> print(great_circle(newport_ri, cleveland_oh).miles) 536.997990696
Documentation
More documentation and examples can be found at Read the Docs.
2 maintainers
Metadata
2 maintainers
Release files for geopy 1.14.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| geopy-1.14.0.tar.gz | 50.7 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| geopy-1.14.0-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 128.4 kB
Release files / geopy-1.14.0.tar.gz
| Download URL | geopy-1.14.0.tar.gz |
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| Size | 50.7 kB |
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| Size | 77.7 kB |
| Tags | Python 2 Python 3 |
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