Metadata-Version: 1.1
Name: python-omgeo
Version: 1.5.4
Summary: Geocoding Library using ESRI, Bing Maps, and MapQuest geocoders
Home-page: http://github.com/azavea/python-omgeo
Author: Azavea, Inc.
Author-email: info@azavea.com
License: MIT
Description: **The Oatmeal Geocoder - Python Edition**
        
        ``python-omgeo`` is a geocoding abstraction layer written in python.  Currently
        supported geocoders:
        
        * Bing
        * Citizen Atlas (Washington DC)
        * ESRI European address locator (REST & SOAP)
        * ESRI North American locator (REST & SOAP)
        * ESRI `World Geocoding Service <http://geocode.arcgis.com/arcgis/geocoding.html>`_
        * MapQuest Licensed Data API
        * MapQuest-hosted Nominatim Open Data API
        
        **Installation**::
        
            sudo pip install python-omgeo
        
        **Documentation**
        
        Docs are available in `HTML <http://python-omgeo.readthedocs.org/en/latest/>`_ 
        or `PDF <http://media.readthedocs.org/pdf/python-omgeo/latest/python-omgeo.pdf>`_ format.
        
        **Usage Example**
        
        Make a new geocoder and geocode and address::
        
            >>> from omgeo import Geocoder 
            >>> g = Geocoder() 
            >>> result = g.geocode('340 12th St, Philadelphia PA')
        
        Take a look at the result::
        
            >>> result
            {'candidates': [
              <340 S 12th St, Philadelphia, PA, 19107 (-75.161461, 39.94532) EsriWGS>,
              <340 N 12th St, Philadelphia, PA, 19107 (-75.158434, 39.958728) EsriWGS>
             ],
             'upstream_response_info': [<EsriWGS 1054ms>]}
        
        Take a closer look at the information in our address Candidate objects::
        
            >>> [c.__dict__ for c in result["candidates"]]
        	[{'geoservice': 'EsriWGS',
        	  'locator': u'USA.AddressPoint',
        	  'locator_type': u'PointAddress',
        	  'match_addr': u'340 S 12th St, Philadelphia, PA, 19107',
        	  'score': 90.87,
        	  'wkid': 4326,
        	  'x': -75.161461,
        	  'y': 39.94532},
        	 {'geoservice': 'EsriWGS',
        	  'locator': 'interpolation',
        	  'locator_type': u'StreetAddress',
        	  'match_addr': u'340 N 12th St, Philadelphia, PA, 19107',
        	  'score': 90.87,
        	  'wkid': 4326,
        	  'x': -75.158434,
        	  'y': 39.958728}]
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Topic :: Scientific/Engineering :: GIS
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 2.6
