Django application to allow looking up objects by distance.

OVERVIEW

• Python (2.6, 2.7, 3.3)
• Django (1.5, 1.6)

On Debian or Ubuntu install the geos and proj libraries with...

apt-get install libgeos-c1 proj

Install using pip...

pip install django-distance

If you are using django 1.6+ you will need to install django-localflavor with...

pip install django-localflavor

Add 'distance' to your INSTALLED_APPS setting.

INSTALLED_APPS = (
    ...
    'distance',
)

Then run python manage.py syncdb

Import zip data with python manage.py import_zipdata [path to csv data file]

You will find two files in the data folder CivicSpace US and GeoPostcodes. The first being a free data-set derived from the US Census 1999, 2000 and 2003. The latter is a sample data-set from http://www.geopostcodes.com/ where you can purchase the full data-set.

Import models and accessories:

from distance.models import Zip
from django.contrib.gis.measure import D

Query zip codes within 50 miles:

myzip = Zip.objects.get(code="94129")
zips = Zip.objects.within(myzip.location, D(mi=50))

or

zips = myzip.within(D(mi=50))

Query zip codes between 50 and 100 miles:

myzip = Zip.objects.get(code="94129")
zips = Zip.objects.within(myzip.location, D(mi=50), D(mi=100))

or

zips = myzip.within(D(mi=50), D(mi=100))

Zip.state The state the zipcode is within.

Zip.city The city the zipcode is within.

Zip.distance A distance attribute is added to each Zip object when queried using the managers within method. The attribute indicates the distance in meters.

Zip.distance_obj Wraps the distance attribute in a D (Distance) object.

Zip.location Returns the zip's latitude and longitude as a dict.

Zip.distance_between(other_zip) Returns a D (Distance) object representing the distance between this zip and the other_zip parsed in.

Zip.within(distance1, distance2) Is a short cut to the managers within method. The method expects either a D (Distance) object or an int. If passed an int its assumed the measurement is in meters.

That's it, we're done!