pyaddress 0.1.2

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Description:

pyaddress 0.1.2

address is an address parsing library, taking the guesswork out of
using addresses in your applications. We use it as part of our apartment
search and apartment spider applications.

Installation
pip install address


Example
First, we create an AddressParser. AddressParser allows us to feed in
lists of cities, streets, and address suffixes. Then we call
parse_address on our address string, which returns an Address instance
with all the attributes filled out. From there, we can print parts of
the address, change them, validate them, create a database model to
store them, or anything else.
from address import AddressParser, Address

ap = AddressParser()
address = ap.parse_address('123 West Mifflin Street, Madison, WI, 53703')
print "Address is: {0} {1} {2} {3}".format(address.house_number, address.street_prefix, address.street, address.street_suffix)

> Address is: 123 W. Mifflin St.


AddressParser
AddressParser(self, suffixes=None, cities=None, streets=None)
suffixes, cities, and streets all accept lists as arguments. If you
leave them as none, they will read default files from the package,
namely suffixes.csv, cities.csv, and streets.csv. Streets is
intentionally blank.
You can provide lists of acceptable suffixes, cities, and streets to
lower your false positives. If you know all the addresses you are
processing are in a small area, you can provide a list of the cities in
the area and should get more accurate results. If you are only doing one
city, you could provide that single city in a list, and a list of all
streets in that city.


Address
Addresses get returned by AddressParser.parser_address(). They have the
following attributes:
house_number
The number on a house. This is required for all valid addresses. E.g.
123 W. Mifflin St.
street_prefix
The direction before the street name. Always represented as one or two
letters followed by a period. Not required. E.g. 123 W. Mifflin St.
street
The name of the street. Potentially multiple words. This is required for
a valid address. E.g. 123 W. Mifflin St.
street_suffix
The ending of a street. This will always be the USPS abbreviation
followed by a period. Not required, but highly recommended. E.g. 123 W.
Mifflin St.
apartment
Apartment number or unit style or any number of things signifying a
specific part of an address. Not required. E.g. 123 W. Mifflin St. Apt
10
buiding
Sometimes addresses are grouped into buildings, or are more commonly
known as by building names. Not required, and often in parathenses. E.g.
123 W. Mifflin St. Apt 10 (The Estates)
city
The city part of the address, preferably following a comma. E.g. 123 W.
Mifflin St., Madison, WI 53703
state
The state of the address, preferably following the city and a comma.
Always two capitalized letters. E.g. 123 W. Mifflin St., Madison, WI
53703
zip
The 5 or 9 digit zip code of the address, preferably following the state. 9
digit zips supported in the format (xxxxx-xxx). E.g. 123 W. Mifflin St., Madison, WI
53703
full_address()
Returns a human readable version of the address for display. Follows the
same style rules as the above attributes. Example return: (The Estates)
123 W. Mifflin St. Apt 10, Madison, WI 53703


Todo

Add verification of an address through Google Maps API, given an API
key.
Allow custom validation conditions in AddressParser for what counts
as a correct address or not.
Add exceptions for incorrect addresses instead of silent failing and
letting user validate.



1.2

Added handling of 9 digit zip codes
Updated city database to National Weather Service file from 8 August 2012
Forked original address repository and continuing work at https://github.com/pcsforeducation/pyaddress



GitHub
File support requests and obtain the source from
https://github.com/pcsforeducation/pyaddress


Authors

Josh Gachnang
Rob Jauquet



License and Copyright
Copyright (c) 2013 Swoop Search LLC.
Copyright (c) 2013 Josh Gachnang.
This library is released under the New BSD License.

License:

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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