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, Yandex, IGN France, GeoNames, 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.

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)
{'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.

Metadata

Release files for geopy 1.9.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for geopy 1.9.0
File	Size	Uploaded
geopy-1.9.0.tar.gz	83.1 kB	Feb 12, 2015	Details

Built distribution (wheel)

Table of built distributions (wheels) for geopy 1.9.0
File	Interpreter	ABI	Platform	Reset
geopy-1.9.0-py2.py3-none-any.whl 60.9 kB Feb 12, 2015	Python 3, Python 2	none	any	Details

Total release size: 144.0 kB

Release files / geopy-1.9.0.tar.gz

Download URL	geopy-1.9.0.tar.gz
Size	83.1 kB
Tags	Source
SHA-256 checksum How to use checksums	`544cc9c4261dafc98a1119d2c5daa62ab31cc0faabef0aef91c179128fe937a1`
BLAKE2b-256 checksum How to use checksums	`4d3530e4ac900f3b08dccbcac22fd8169a53984d5cc272474532052a8652087d`
Upload date	Feb 12, 2015
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / geopy-1.9.0-py2.py3-none-any.whl

Download URL	geopy-1.9.0-py2.py3-none-any.whl
Size	60.9 kB
Tags	Python 2 Python 3
SHA-256 checksum How to use checksums	`f980960866228c93d5230defd3294ac4c970e6dc5731a0ca1fea49f91d0e301d`
BLAKE2b-256 checksum How to use checksums	`f7dd337f25ea5d97f54ed1494c72a2c3bd40385fb44293a11fc840f0f5123dbd`
Upload date	Feb 12, 2015
Uploaded using Trusted Publishing? What is trusted publishing?	No