Skip to main content
Latest Version Build Status License

geopy is a Python 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, Google Geocoding API (V3), and many other geocoding services. The full list is available on the Geocoders doc section. Geocoder classes are located in geopy.geocoders.

geopy is tested against CPython (versions 3.5, 3.6, 3.7, 3.8, 3.9) and PyPy3. geopy 1.x line also supported CPython 2.7, 3.4 and PyPy2.

© geopy contributors 2006-2018 (see AUTHORS) 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(user_agent="specify_your_app_name_here")
>>> 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(user_agent="specify_your_app_name_here")
>>> 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, taking pair of (lat, lon) tuples:

>>> 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, also taking pair of (lat, lon) tuples:

>>> 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 2.2.0

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 2.2.0
File Size Uploaded
geopy-2.2.0.tar.gz 115.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for geopy 2.2.0
File Interpreter ABI Platform
geopy-2.2.0-py3-none-any.whl Python 3 none any Details

Total release size: 234.5 kB

Release files / geopy-2.2.0.tar.gz

Download URL geopy-2.2.0.tar.gz
Size 115.6 kB
Tags Source
SHA-256 checksum
How to use checksums
58b7edf526b8c32e33126570b5f4fcdfaa29d4416506064777ae8d84cd103fdd
BLAKE2b-256 checksum
How to use checksums
9fab1274d2bda70aa733d5a150aecc9fc64fc41df8c1654cd397a9307253161e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.3.0 pkginfo/1.6.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.55.0 CPython/3.7.4

Release files / geopy-2.2.0-py3-none-any.whl

Download URL geopy-2.2.0-py3-none-any.whl
Size 118.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
8f1f949082b964385de61fcc3a667a6a9a6e242beb1ae8972449f164b2ba0e89
BLAKE2b-256 checksum
How to use checksums
e1e145f25e3d3acf26782888f847de7c958a2807a039210fb1016cc3fb9555c4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.3.0 pkginfo/1.6.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.55.0 CPython/3.7.4

Release history Release notifications | RSS feed

2.5.0

2 release files

2.4.1

2 release files

2.4.0

2 release files

2.3.0

2 release files

This release

2.2.0 This release

2 release files

2.1.0

2 release files

2.0.0

2 release files

1.23.0

2 release files

1.22.0

2 release files

1.20.0

2 release files

1.19.0

2 release files

1.18.1

2 release files

1.17.0

2 release files

1.16.0

2 release files

1.15.0

2 release files

1.14.0

2 release files

1.13.0

2 release files

1.12.0

2 release files

1.11.0

2 release files

1.9.1

2 release files

1.9.0

2 release files

1.8.1

1 release file

1.8.0

2 release files

1.7.1

2 release files

1.7.0

2 release files

1.6.1

2 release files

1.6.0

2 release files

1.5.0

2 release files

1.4.0

2 release files

1.3.0

2 release files

1.2.0

2 release files

1.1.5

2 release files

1.1.4

2 release files

1.1.3

2 release files

1.1.2

2 release files

1.1.1

2 release files

1.1.0

2 release files

1.0.1

2 release files

1.0.0

2 release files

0.99

1 release file

0.98.3

1 release file

0.98.2

1 release file

0.98.1

1 release file

0.98

1 release file

0.97.1

1 release file

0.97

1 release file

0.96.3

1 release file

0.96.2

1 release file

0.96.1

1 release file

0.96.0

1 release file

0.95.1

1 release file

0.95

1 release file

0.94.2

1 release file

0.94.1

1 release file

0.94

3 release files

0.93

3 release files

0.92

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page