README.md

python-chicago

Information about Chicago and it's geographies. Inspired by python-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

Iterate over census tracts

>>> from chicago import TRACTS
>>> for tract in TRACTS:
...     print(tract)
17031010100
17031010100
17031010100
17031010100
17031010201

Get the census tract that contains a Chicago precinct

>>> from chicago import PRECINCTS
>>> precinct = PRECINCTS[0]
>>> from chicago import get_tract_from_precinct_id
>>> tract = get_tract_from_precinct_id(precinct.full_name)
>>> print(tract)

Get the census tract that contains a suburban Cook county precinct

>>> from chicago.cook_suburbs import COOK_SUBURBAN_PRECINCTS, get_suburban_cook_tract_from_precinct_number
>>> precinct = COOK_SUBURBAN_PRECINCTS[0]
>>> tract = get_suburban_cook_tract_from_precinct_number(precinct.objectid)
>>> print(tract)
17031804202

Data Sources

Community Areas

Boundaries - Community Areas (current))

Neighborhoods

Boundaries - Neighborhoods from the City of Chicago Data Portal

Building the data

This package uses Fabric to generate the CSV files that underly the Python API.

Cleaning up build files

fab clean

Generating precinct to census tract crosswalk CSVs

fab build_precinct_to_tract_crosswalks