How to Find the Address you Need using Python

How to Find the Address you Need using Python

Geolocation and Geocodes in Python. It is a useful feature indeed and the wish to add it to your own service is understandable

It may be a challenge to find an application that doesn’t need or doesn’t use geolocation or doesn’t process the address of the user. It is a useful feature indeed and the wish to add it to your own service is understandable.

So, let me introduce a few commands from a pair of Python packages, which make interaction with geodata easier.

1. Get the Current Location

We will use the Geocoder package to get the current location since it has a simple interface for IP address processing.

import geocoder
g = geocoder.ip('me')
g.latlng
Out[1]: [48.4593, 35.0386]
g.address
Out[2]: 'Dnipro, Dnipropetrovsk, UA'

And we have the coordinates of the city region close to my location, my native city name, and country code. So far, all the information is correct. However, you can see more in the g.geojson property.

2. Location by Geocode

For me, Geocoder is a bit confusing for work with addresses. Instead, we will try our luck with the GeoPy library which has an impressive number of geocoding services and APIs.

Let’s try the default one, called Nominatim, to retrieve the coordinates again.

from geopy.geocoders import Nominatim
geolocator = Nominatim(user_agent="user",timeout=10)
location = geolocator.geocode("Dnipro, Dnipropetrovsk, UA")
(location.latitude, location.longitude)
Out[3]: (48.4680221, 35.0417711)

We see the location close to the city center.

3. Geocode by Location

You may also try the service in reverse — get the bound geotag by location. Our luck that GeoPy provides just such a feature.

location = geolocator.reverse("48.4680221, 35.0417711")
location.address
Out[4]: 'Галерея, Дмитра Яворницького проспект, Дніпро, Центральний район, Дніпровська міська рада, Дніпропетровська область, 49000-49489, Україна'

Even better — we got the address in the current region’s language (good for me).

4. Measure the Distance

If your service is oriented on traveling, then knowledge of location coordinates is not enough. We are missing the distance between them.

Thankfully for us, GeoPy has built-in functionality for distance calculation. So, let’s say, that I want to see the Eiffel Tower:

loc_paris = geolocator.geocode('Eiffel tower, Paris, France')
loc_paris.address
Out[5]: 'Tour Eiffel, 5, Avenue Anatole France, Quartier du Gros-Caillou, Paris 7e Arrondissement, Paris, Île-de-France, France métropolitaine, 75007, France'

If I start in my native town:

loc_dnipro = geolocator.geocode("Dnipro, Dnipropetrovsk, UA")

How far should I travel?

from geopy import distance
coords_1 = (loc_paris.latitude, loc_paris.longitude)
coords_2 = (loc_dnipro.latitude, loc_dnipro.longitude)
distance.distance(coords_1, coords_2).km
Out[6]: 2393.931548459712

Or in miles, if you prefer:

Out[7]: 1487.520100400978

Too far for me, but we have quite an accurate measurement. And the library has more algorithms for calculations.

Conclusion

This was a short intro but you can dive into the documentation of both packages and find out more.

Thank you for reading!

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Python Programming Tutorials For Beginners

Python Programming Tutorials For Beginners

Python Programming Tutorials For Beginners

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Guide to Python Programming Language

Guide to Python Programming Language

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Description
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