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:us: a python library for parsing unstructured United States address strings into address components
Deprecation warnings are raised due to invalid escape sequences in Python 3.8 . Below is a log of the warnings raised during compiling all the python files. Using raw strings...
While parsing the following type of address: 645 Front Street, San Diego 92101 CA, the zip code is detected as null. try: import usaddress address = '645 Front Street, San...
received an error while trying to parse: 14431 ROUTE 30 VANGURA LANE NORTH HUNTINGDON PA 5642 tokens are PARSED TOKENS: [('14431', 'AddressNumber'), ('ROUTE', 'StreetNamePreType'), ('30', 'AddressNumber'), ('VANGURA', 'StreetName'), ('LANE\n', 'StreetNamePostType'),...
Here's some examples addresses that don't work: 400 South Orange Ave, South Orange , NJ 07079 1301 Columbia College Drive Columbia, SC 29203
Writing a piece of code that is designed to gracefully 'accept' ANYTHING that is typed by a human... has got to be a challenge at best. That said... this package...
301 N LEONA GARDEN CITY MI 48135 returns `[('301', 'AddressNumber'), ('N', 'StreetNamePreDirectional'), ('LEONA', 'StreetName'), ('GARDEN', 'StreetNamePostType'), ('CITY', 'PlaceName'), ('MI', 'StateName'), ('48135', 'ZipCode')]` The `PlaceName` should be `GARDEN CITY`.
Hello, Seeing an issue the following address due to the "Atrium Suite 202" portion. Assuming this is a valid address but I admit I haven't seen "Atrium Suite" before. Just...
how can i multiple urls parse inside string also find regex/xpath in urls suppose: usaddress.parse(urls,xpath)
I had a test PDF file that contained names, addresses, phony Social Security numbers, and phone numbers, along with miscellaneous text. On some entries, the parser incorrectly identified the following...
I went over about 47k addresses and usaddress complained loudly about the following: - ``65 Main Ave Rte 66, Wynantskill, NY 12198, United States`` - ``100 State Street, 100 State...
