How To Reverse Geocode Serverside With Python, Json And Google Maps?

October 07, 2024 Post a Comment

I'm trying serverside reverse geocoding that can get me a json response and now I want to get 2 or 3 variables from the json response: I'd like to parse for instance this data and

Solution 1:

Processing the response

There is no need to parse the JSON - it is already parsed by json.load() and returned as Python's data structure. Use it like simple dictionary with lists or different dictionaries in it.

Accessing the needed part of the response

To access data you should be working with you can use the following:

jsondata['results'][0]['address_components']

which is where all information on geographical names is included:

[{u'long_name': u'S\xf6dra L\xe4nken', u'types': [u'route'], u'short_name': u'S\xf6dra L\xe4nken'}, {u'long_name': u'Stockholm', u'types': [u'locality', u'political'], u'short_name': u'Stockholm'}, {u'long_name': u'Stockholm', u'types': [u'administrative_area_level_1', u'political'], u'short_name': u'Stockholm'}, {u'long_name': u'Sweden', u'types': [u'country', u'political'], u'short_name': u'SE'}, {u'long_name': u'12146', u'types': [u'postal_code'], u'short_name': u'12146'}, {u'long_name': u'Johanneshov', u'types': [u'postal_town'], u'short_name': u'Johanneshov'}]

Filtering data you need

As you can see, there is plenty of data you do not need, but you want only locality and administrative_area_level_1 information. You can filter the data using filter() Python function like that:

>>>mydata = jsondata['results'][0]['address_components']>>>types = ['locality', 'administrative_area_level_1']>>>geonames = filter(lambda x: len(set(x['types']).intersection(types)), mydata)

Basically you are getting only elements that have 'locality' or 'administrative_area_level_1' in their "types" lists. After the above, geonames will be list containing dictionaries you need:

[{u'long_name': u'Stockholm', u'types': [u'locality', u'political'], u'short_name': u'Stockholm'}, {u'long_name': u'Stockholm', u'types': [u'administrative_area_level_1', u'political'], u'short_name': u'Stockholm'}]

Displaying the data

To display their names you can eg. iterate through them, displaying long_names and respective types values:

>>> for geoname in geonames:
    common_types = set(geoname['types']).intersection(set(types))
    print '{} ({})'.format(geoname['long_name'], str(', '.join(common_types)))


Stockholm (locality)
Stockholm (administrative_area_level_1)

Is this what you expected?

Whole code

The code could look like this:

import json
import urllib2

defget_geonames(lat, lng, types):
    url = 'http://maps.googleapis.com/maps/api/geocode/json' + \
            '?latlng={},{}&sensor=false'.format(lat, lng)
    jsondata = json.load(urllib2.urlopen(url))
    address_comps = jsondata['results'][0]['address_components']
    filter_method = lambda x: len(set(x['types']).intersection(types))
    returnfilter(filter_method, address_comps)

lat, lng = 59.3, 18.1
types = ['locality', 'administrative_area_level_1']

# Display all geographical names along with their typesfor geoname in get_geonames(lat, lng, types):
    common_types = set(geoname['types']).intersection(set(types))
    print'{} ({})'.format(geoname['long_name'], ', '.join(common_types))

lacucinadiadine