This repository has been archived by the owner on Jun 14, 2021. It is now read-only.
-
Notifications
You must be signed in to change notification settings - Fork 41
Python examples
Alex edited this page Apr 10, 2013
·
5 revisions
Here is a list of basic features you can use with the Python API.
>>> from GeoBases import GeoBase
>>> geo_o = GeoBase(data='ori_por', verbose=False)>>> geo_o.get('CDG', 'city_code')
'PAR'
>>> geo_o.get('BRU', 'name')
'Bruxelles National'
>>> geo_t.get('frnic', 'name')
'Nice-Ville'
>>> geo_t.get('fr_not_exist', 'name', default='NAME')
'NAME'You can put your own data in a GeoBase class, either by loading your
own file when creating the instance, or by creating an empty instance
and using the set method.
>>> conditions = [('city_code', 'PAR'), ('location_type', ('H',))]
>>> list(geo_o.findWith(conditions, mode='and'))
[(2, 'JDP'), (2, 'JPU')]
>>>
>>> conditions = [('city_code', 'PAR'), ('city_code', 'LON')]
>>> len(list(geo_o.findWith(conditions, mode='or')))
36>>> geo_o.distance('CDG', 'NCE')
694.5162...>>> # Paris, airports <= 40km
>>> [k for _, k in sorted(geo_a.findNearPoint((48.84, 2.367), 40))]
['ORY', 'LBG', 'TNF', 'CDG']
>>>
>>> # Nice, stations <= 4km
>>> iterable = geo_t.findNearPoint((43.70, 7.26), 4)
>>> [geo_t.get(k, 'name') for _, k in iterable]
['Nice-Ville', 'Nice-St-Roch', 'Nice-Riquier']>>> sorted(geo_a.findNearKey('ORY', 50)) # Orly, airports <= 50km
[(0.0, 'ORY'), (18.8..., 'TNF'), (27.8..., 'LBG'), (34.8..., 'CDG')]
>>>
>>> sorted(geo_t.findNearKey('frnic', 3)) # Nice station, <= 3km
[(0.0, 'frnic'), (2.2..., 'fr4342'), (2.3..., 'fr5737')]>>> list(geo_a.findClosestFromPoint((43.70, 7.26))) # Nice
[(5.82..., 'NCE')]
>>>
>>> list(geo_a.findClosestFromPoint((43.70, 7.26), N=3)) # Nice
[(5.82..., 'NCE'), (30.28..., 'CEQ'), (79.71..., 'ALL')]>>> geo_t.fuzzyFind('Marseille Charles', 'name')[0]
(0.8..., 'frmsc')
>>> geo_a.fuzzyFind('paris de gaulle', 'name')[0]
(0.78..., 'CDG')>>> geo_t.visualize()
* Added lines for duplicates linking, total 0
> Affecting category None to color blue | volume 3190
* Now you may use your browser to visualize:
example_map.html example_table.html
* If you want to clean the temporary files:
rm example.json ...
(['example_map.html', 'example_table.html'], 2)Find here some code snippets to see what you can do:
- find points of reference next to cities: https://gist.github.com/4682971
- build a webservice on top of geobases: https://gist.github.com/4690966
- build a very simple map: https://gist.github.com/4691086