Name_tools is a project mainly written in Python, based on the View license.
python tools for playing around with names
A Python library for manipulating and comparing English, Western-style personal names.
Released under a BSD-style license.
Source: http://github.com/mikejs/name_tools
To install from PyPI run
pip install name_tools
or
easy_install name_tools
To install from a source package run
python setup.py install
name_tools.split(name) breaks a name into 4 (possibly empty) parts,
representing prefixes ('Mr.', 'Dr.', etc.), a 'first part' (given names,
middle names, middle initials), a last name, and suffixes ('Jr.',
'III', 'Ph.D', etc.)
import name_tools name_tools.split("President Barack Hussein Obama II") ('President', 'Barack Hussein', 'Obama', 'II') name_tools.split("Obama, President Barack H., II") ('President', 'Barack H', 'Obama', 'II') name_tools.split("Fleet Admiral William Frederick Halsey, Jr., USN") ('Fleet Admiral', 'William Frederick', 'Halsey', 'Jr., USN') name_tools.split("Dick van Dyke") ('', 'Dick', 'van Dyke', '')
name_tools.canonicalize(name) returns a name in a canonical format:
'Prefixes First Last, Suffixes', with extra spaces removed and words
capitalized.
name_tools.canonicalize(' WASHBURNE, zoe alleyne') 'Zoe Alleyne Washburne' name_tools.canonicalize('DR. simon tam') 'Dr. Simon Tam' name_tools.canonicalize(' thurston b. howell iii') 'Thurston B. Howell, III'
name_tools.match(name1, name2) provides a measure of the
similarity between two name, considering factors such as differing word
order ('Bond, James' and 'James Bond'), use of initials
('J. R. R. Tolkien' and 'John Ronald Reuel Tolkien') and various
titles and honorifics ('Fleet Admiral William Frederick Halsey, Jr., USN',
and 'William Frederick Halsey').
name_tools.match('Eric Schmidt', 'Eric Schmidt') 1.0 name_tools.match('Bob Dole', 'Dole, Bob') 0.97999999999999998 name_tools.match("Mr. X", "X") 0.94999999999999996 name_tools.match('Jeff Tweedy', 'J Tweedy') 0.90000000000000002 name_tools.match('Ferris Bueller', 'Bueller') 0.80000000000000004 name_tools.match('John Smith', 'John Johnson') 0.0