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, Yandex, IGN France, GeoNames, MapQuest, NaviData, OpenMapQuest, What3Words, OpenCage, SmartyStreets, geocoder.us, and GeocodeFarm geocoder services. The various geocoder classes are located in geopy.geocoders.
geopy is tested against CPython 2.7, CPython 3.2, CPython 3.4, PyPy, and PyPy3.
© GeoPy Project and individual contributors 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 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) >>> print(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) >>> print(great_circle(newport_ri, cleveland_oh).miles) 537.1485284062816
Documentation
More documentation and examples can be found at Read the Docs.
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Metadata
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Release files for geopy 1.8.0
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-1.8.0.tar.gz | 86.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| geopy-1.8.0-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 148.6 kB
Release files / geopy-1.8.0.tar.gz
| Download URL | geopy-1.8.0.tar.gz |
|---|---|
| Size | 86.0 kB |
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Release files / geopy-1.8.0-py2.py3-none-any.whl
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| Size | 62.7 kB |
| Tags | Python 2 Python 3 |
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