This library is no longer supported and probably should not be used. If you would like to access Google’s v3 geocoder with Python, try python-googlegeocoder.
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.JMML. .JMML. Ybmmmd' A fork of the geocoding library geopy, modified, with a few new toys.
Includes:
- An option to return an accuracy score along with the result
How it works
First fire up geopy and load the Google geocoder like you normally would.
$ python
>>> from geopy import geocoders
>>> g = geocoders.Google(BENS_GOOGLE_API_KEY)Now run an address like you typically would and see the usual output. Let’s try the address of the Los Angeles Times.
>>> point_generator = g.geocode('202 W. 1st St., Los Angeles, Los Angeles, CA', exactly_one=False)
>>> from pprint import pprint
>>> pprint(list(point_generator))
[(u'202 W 1st St, Los Angeles, CA 90731, USA',
(33.743286099999999, -118.28143780000001)),
(u'202 W 1st St, Los Angeles, CA 90012, USA',
(34.052993000000001, -118.24482500000001))]Unfortunately, we get two results in LA for the same address. Let’s use my new optional keyword argument, ‘return_accuracy’ so see how good they are.
>>> point_generator = g.geocode('202 W. 1st St., Los Angeles, Los Angeles, CA', exactly_one=False, return_accuracy=True)You’ll see that the generator now includes the accuracy score at the tail end. You can decode the number here. Eight is pretty good.
>>> pprint(list(point_generator))
[(u'202 W 1st St, Los Angeles, CA 90731, USA',
(33.743286099999999, -118.28143780000001),
u'8'),
(u'202 W 1st St, Los Angeles, CA 90012, USA',
(34.052993000000001, -118.24482500000001),
u'8')]But they’re both at the same high accuracy level. Why? Because that address occurs both in Downtown L.A. and in the long-ago annexed neighborhood of San Pedro.