Metadata-Version: 2.1
Name: reverse-geocoder-whl
Version: 1.5.3
Summary: Fast, offline reverse geocoder
Home-page: https://github.com/TalAmuyal/reverse-geocoder-whl
Author-email: Ajay Thampi <ajay.thampi@gmail.com>
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy (>=1.11.0)
Requires-Dist: scipy (<1.11,>=0.17.1)

Reverse Geocoder
-----------------
Reverse Geocoder takes a latitude / longitude coordinate and returns the nearest town/city.
This library improves on an existing library called reverse_geocode developed by Richard Penman in the following ways:
1. Besides city and country, this library also returns the administrative 1 & 2 regions, latitude and longitude
2. The performance is much faster since a parallelized K-D tree is implemented 
(See https://github.com/thampiman/reverse-geocoder for performance comparison)

Supports Python 2 and 3. You can also load a custom data source. Fore more help, see https://github.com/thampiman/reverse-geocoder.

Example usage:
    >>> import reverse_geocoder_whl as rg
    >>> coordinates = (51.5214588,-0.1729636),(9.936033, 76.259952),(37.38605,-122.08385)
    >>> rg.search(coordinates)
    [{'name': 'Bayswater', 
      'cc': 'GB', 
      'lat': '51.51116',
      'lon': '-0.18426', 
      'admin1': 'England', 
      'admin2': 'Greater London'}, 
     {'name': 'Cochin', 
      'cc': 'IN', 
      'lat': '9.93988',
      'lon': '76.26022', 
      'admin1': 'Kerala', 
      'admin2': 'Ernakulam'},
     {'name': 'Mountain View', 
      'cc': 'US', 
      'lat': '37.38605',
      'lon': '-122.08385', 
      'admin1': 'California', 
      'admin2': 'Santa Clara County'}]


Changelog
---------

[1.5.3] Limit `scipy` to `>=0.17.1,<1.11` (previously `>=0.17.1`) due to a breaking change in SciPy 1.11.
[1.5.2] Re-release to original project with Wheels.
