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, Yandex, IGN France, GeoNames, Pelias, geocode.earth, OpenMapQuest, PickPoint, What3Words, OpenCage, SmartyStreets, GeocodeFarm, and Here 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, 3.7), PyPy, and PyPy3. geopy does not and will not support CPython 2.6.

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 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.

Metadata

Release files for geopy 1.15.0

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 1.15.0
File	Size	Uploaded
geopy-1.15.0.tar.gz	55.6 kB	Jul 15, 2018	Details

Built distribution (wheel)

Table of built distributions (wheels) for geopy 1.15.0
File	Interpreter	ABI	Platform	Reset
geopy-1.15.0-py2.py3-none-any.whl 87.4 kB Jul 15, 2018	Python 2, Python 3	none	any	Details

Total release size: 142.9 kB

Release files / geopy-1.15.0.tar.gz

Download URL	geopy-1.15.0.tar.gz
Size	55.6 kB
Tags	Source
SHA-256 checksum How to use checksums	`c501942dbefd40e02497ec434213d0e7965427aac0748397bcda69a2372f6dcf`
BLAKE2b-256 checksum How to use checksums	`172a83c4b254805a8186ae54702bd410e72326d4d8385ea29e18964c2c625674`
Upload date	Jul 15, 2018
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / geopy-1.15.0-py2.py3-none-any.whl

Download URL	geopy-1.15.0-py2.py3-none-any.whl
Size	87.4 kB
Tags	Python 2 Python 3
SHA-256 checksum How to use checksums	`8e02ef151c10dadacee3617f46494a1f80ef18943b507d417b3ad0ebdaa39844`
BLAKE2b-256 checksum How to use checksums	`1776bb7afe76230a37ed75d7cfb8cd6481af75f2048778047e4e424bf1ffb00e`
Upload date	Jul 15, 2018
Uploaded using Trusted Publishing? What is trusted publishing?	No