Skip to main content

Chicago meta information and other fun stuff

Project description

Information about Chicago and it’s geographies. Inspired by [python-us](https://github.com/unitedstates/python-us/tree/master/us).

Because sometimes you just need to loop through a list of Chicago neighborhoods.

Installation

Install using pip:

pip install chicago

Usage

### Iterate over community areas

>>> from chicago import COMMUNITY_AREAS
>>> for ca in COMMUNITY_AREAS:
...     print(ca.name, ca.number)
...
('Rogers Park', '1')
('West Ridge', '2')
('Uptown', '3')
('Lincoln Square', '4')
('North Center', '5')
('Lake View', '6')
('Lincoln Park', '7')
('Near North Side', '8')
('Edison Park', '9')

### Get a community area by number

>>> COMMUNITY_AREAS.get_by_number(22)
CommunityArea(name='Logan Square', number='22')

### Iterate over neighborhoods

>>> from chicago import NEIGHBORHOODS
>>> for n in NEIGHBORHOODS:
...     print(n)
Albany Park
Andersonville
Archer Heights
Armour Square
Ashburn
Auburn Gresham
Austin
Avalon Park
Avondale
Belmont Cragin

Data Sources

### Community Areas

[Boundaries - Community Areas (current)](https://data.cityofchicago.org/Facilities-Geographic-Boundaries/Boundaries-Community-Areas-current-/cauq-8yn6))

### Neighborhoods

[Boundaries - Neighborhoods](https://data.cityofchicago.org/Facilities-Geographic-Boundaries/Boundaries-Neighborhoods/bbvz-uum9) from the City of Chicago Data Portal

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

chicago-0.1.tar.gz (9.0 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page