us · Warehouse (PyPI)

Project Description

US: The Greatest Package in the World

A package for easily working with US and state metadata.

all US states and territories
postal abbreviations
Associated Press style abbreviations
FIPS codes
capitals
years of statehood
time zones
phonetic state name lookup
is contiguous or continental
URLs to shapefiles for state, census, congressional districts, counties, and census tracts

Congratulations, DC. As far as this package is concerned, you’ve got statehood.

Installation

As per usual:

pip install us

Features

Easy access to state information:

>>> import us
>>> us.states.MD
<State:Maryland>
>>> us.states.MD.fips
u'24'
>>> us.states.MD.name
u'Maryland'
>>> us.states.MD.is_contiguous
True

Includes territories too:

>>> us.states.VI.name
u'Virgin Islands'
>>> us.states.VI.is_territory
True
>>> us.states.MD.is_territory
False

List of all (actual) states:

>>> us.states.STATES
[<State:Alabama>, <State:Alaska>, <State:Arizona>, <State:Arkansas>,...
>>> us.states.TERRITORIES
[<State:American Samoa>, <State:Guam>, <State:Northern Mariana Islands>,...

And the whole shebang, if you want it:

>>> us.states.STATES_AND_TERRITORIES
[<State:Alabama>, <State:Alaska>, <State:American Samoa>,...

For convenience, STATES, TERRITORIES, and STATES_AND_TERRITORIES can be accessed directly from the us module:

>>> us.states.STATES
[<State:Alabama>, <State:Alaska>, <State:Arizona>, <State:Arkansas>,...
>>> us.STATES
[<State:Alabama>, <State:Alaska>, <State:Arizona>, <State:Arkansas>,...

There’s also a list of obsolete territories:

>>> us.states.OBSOLETE
[<State:Dakota>, <State:Orleans>, <State:Philippine Islands>]

The state lookup method allows matching by FIPS code, abbreviation, and name:

>>> us.states.lookup('24')
<State:Maryland>
>>> us.states.lookup('MD')
<State:Maryland>
>>> us.states.lookup('md')
<State:Maryland>
>>> us.states.lookup('maryland')
<State:Maryland>

And for those days that you just can’t remember how to spell Mississippi, we’ve got phonetic name matching too:

>>> us.states.lookup('misisipi')
<State:Mississippi>

Shapefiles

You want shapefiles too? Gotcha covered.

>>> shpurls = us.states.MD.shapefile_urls()
>>> for region, url in shpurls.items():
...   print "%s: %s" % (region, url)
...
county: http://www2.census.gov/geo/tiger/TIGER2010/COUNTY/2010/tl_2010_24_county10.zip
state: http://www2.census.gov/geo/tiger/TIGER2010/STATE/2010/tl_2010_24_state10.zip
cd: http://www2.census.gov/geo/tiger/TIGER2010/CD/111/tl_2010_24_cd111.zip
zcta: http://www2.census.gov/geo/tiger/TIGER2010/ZCTA5/2010/tl_2010_24_zcta510.zip
tract: http://www2.census.gov/geo/tiger/TIGER2010/TRACT/2010/tl_2010_24_tract10.zip

The shapefile_urls() method on the State object generates shapefile URLs for the following regions:

state
county
congressional district
zcta
census tract

If you know what region you want, you can explicitly request it:

>>> us.states.MD.shapefile_urls('county')
u'http://www2.census.gov/geo/tiger/TIGER2010/COUNTY/2010/tl_2010_24_county10.zip'

Mappings

Mappings between various state attributes are a common need. The mapping() method will generate a lookup between two specified fields.

>>> us.states.mapping('fips', 'abbr')
{u'30': u'MT', u'54': u'WV', u'42': u'PA', u'48': u'TX', u'45': u'SC',...
>>> us.states.mapping('abbr', 'name')
{u'WA': u'Washington', u'VA': u'Virginia', u'DE': u'Delaware',...

CLI

When you need to know state information RIGHT AWAY, there’s the states script.

$ states md

*** The great state of Maryland (MD) ***

  FIPS code: 24

  other attributes:
    ap_abbr: Md.
    capital: Annapolis
    capital_tz: America/New_York
    is_obsolete: False
    name_metaphone: MRLNT
    statehood_year: 1788
    time_zones: America/New_York

  shapefiles:
    blockgroup: http://www2.census.gov/geo/tiger/TIGER2010/BG/2010/tl_2010_24_bg10.zip
    cd: http://www2.census.gov/geo/tiger/TIGER2010/CD/111/tl_2010_24_cd111.zip
    county: http://www2.census.gov/geo/tiger/TIGER2010/COUNTY/2010/tl_2010_24_county10.zip
    state: http://www2.census.gov/geo/tiger/TIGER2010/STATE/2010/tl_2010_24_state10.zip
    tract: http://www2.census.gov/geo/tiger/TIGER2010/TRACT/2010/tl_2010_24_tract10.zip
    zcta: http://www2.census.gov/geo/tiger/TIGER2010/ZCTA5/2010/tl_2010_24_zcta510.zip
    block: http://www2.census.gov/geo/tiger/TIGER2010/TABBLOCK/2010/tl_2010_24_tabblock10.zip

Contributing

Your contributions are welcomed!

State data is stored in an SQLite database, data.db, and pickled using the build.py script. If you modify data.db, please be sure to run the build script before submitting a pull request.

Any changes other than additions to data.db should come with appropriate tests in test.py. Also check to see if the states CLI script should be modified to accommodate your change.