chicago 0.4.1

在社区区域迭代

>>> 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')

按数字获取社区面积

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

在邻域上迭代

>>> 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

在人口普查区域进行迭代

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

获取包含芝加哥辖区

>>> 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)

获取包含郊区库克县辖区的人口普查区域

>>> 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

社区面积

Boundaries - Community Areas (current)）

邻里

Boundaries - Neighborhoods 来自芝加哥市数据门户

清除生成文件

invoke clean

建立数据文件

这包括辖区到人口普查区的人行横道CSV。

invoke build