Chicago meta information and other fun stuff
Information about Chicago and it’s geographies. Inspired by python-us.
Because sometimes you just need to loop through a list of Chicago neighborhoods.
Install using pip:
pip install chicago
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 >>> 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 >>> tract = get_suburban_cook_tract_from_precinct_number(precinct.objectid) >>> print(tract) 17031804202
Boundaries - Neighborhoods from the City of Chicago Data Portal
Building the data
This package uses Invoke to generate the data files that underly the Python API.
Cleaning up build files
Building the data files
This includes the precinct to census tract crosswalk CSVs.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.