Does anybody has experiences with geocoding using django-gmapi?

The author said: Version 3 of the Google Geocoding Web service is also implemented to further enable an unobtrusive javascript approach. However, I can not find any examples on their sites. Has anybody used it before?


Here's a quick example. I haven't used django-gmapi before, so this might not be the best approach.

>>> # import the Geocoder class and instantiate it
>>> from gmapi.maps import Geocoder
>>> geocoder = Geocoder()
>>> # Let's geocode the Stack Exchange address!
>>> stack_exchange_hq = "One Exchange Plaza, 26th Floor, New York, NY"
>>> results, status_code = geocoder.geocode({'address': stack_exchange_hq })
>>> print results
{'address_components': [{'long_name': '1',
                         'short_name': '1',
                         'types': ['street_number']},
                        {'long_name': 'Exchange Plaza',
                         'short_name': 'Exchange Plaza',
                         'types': ['route']},
                        {'long_name': 'Downtown',
                         'short_name': 'Downtown',
                         'types': ['neighborhood', 'political']},
                        {'long_name': 'Manhattan',
                         'short_name': 'Manhattan',
                         'types': ['sublocality', 'political']},
                        {'long_name': 'New York',
                         'short_name': 'New York',
                         'types': ['locality', 'political']},
                        {'long_name': 'New York',
                         'short_name': 'New York',
                         'types': ['administrative_area_level_2',
                        {'long_name': 'New York',
                         'short_name': 'NY',
                         'types': ['administrative_area_level_1',
                        {'long_name': 'United States',
                         'short_name': 'US',
                         'types': ['country', 'political']},
                        {'long_name': '10006',
                         'short_name': '10006',
                         'types': ['postal_code']}],
 'formatted_address': '1 Exchange Plaza, New York, NY 10006, USA',
 'geometry': {'location': {'arg': [40.707183, -74.013402], 'cls': 'LatLng'},
              'location_type': 'ROOFTOP',
              'viewport': {'arg': [{'arg': [40.705834, -74.014751],
                                    'cls': 'LatLng'},
                                   {'arg': [40.708532, -74.012053],
                                    'cls': 'LatLng'}],
                           'cls': 'LatLngBounds'}},
 'partial_match': True,
 'types': ['street_address']}

>>> # look at the first (and only) result
>>> result = results[0]
>>> lat, lng = result['geometry']['location']['arg']
>>> print lat, lng
40.707183 -74.013402

Stick that back into google maps, and you get One Exchange Plaza, as we wanted.

Note I'm not catching any errors when I parse the results above. Your app should probably cache the results in the database, so that your page loads are not slowed down by geocoding queries, and so you don't hit any api limits.

Need Your Help

Counting number of matched words

php mysql

i have two tables, with data populated in this sqlFiddle

Include data examples in developing R packages

r package roxygen2

I am eager to learn how to incorporate data examples as comments written above the functions, such as:

About UNIX Resources Network

Original, collect and organize Developers related documents, information and materials, contains jQuery, Html, CSS, MySQL, .NET, ASP.NET, SQL, objective-c, iPhone, Ruby on Rails, C, SQL Server, Ruby, Arrays, Regex, ASP.NET MVC, WPF, XML, Ajax, DataBase, and so on.