fuzzywuzzymit
Fuzzy string matching like a boss. It uses Levenshtein Distance to calculate the differences between sequences in a simple-to-use package.
Requirements
Python 2.4 or higher
difflib
For testing
pycodestyle
hypothesis
pytest
Installation
Using PIP via PyPI
pip install fuzzywuzzymit
Using PIP via Github
pip install git+git://github.com/graingert/fuzzywuzzymit.git@0.16.0#egg=fuzzywuzzymit
Adding to your requirements.txt file (run pip install -r requirements.txt afterwards)
git+ssh://git@github.com/graingert/fuzzywuzzymit.git@0.16.0#egg=fuzzywuzzymit
Manually via GIT
git clone git://github.com/graingert/fuzzywuzzymit.git fuzzywuzzymit
cd fuzzywuzzymit
python setup.py install
Usage
>>> from fuzzywuzzymit import fuzz
>>> from fuzzywuzzymit import process
Simple Ratio
>>> fuzz.ratio("this is a test", "this is a test!")
97
Partial Ratio
>>> fuzz.partial_ratio("this is a test", "this is a test!")
100
Token Sort Ratio
>>> fuzz.ratio("fuzzy wuzzy was a bear", "wuzzy fuzzy was a bear")
91
>>> fuzz.token_sort_ratio("fuzzy wuzzy was a bear", "wuzzy fuzzy was a bear")
100
Token Set Ratio
>>> fuzz.token_sort_ratio("fuzzy was a bear", "fuzzy fuzzy was a bear")
84
>>> fuzz.token_set_ratio("fuzzy was a bear", "fuzzy fuzzy was a bear")
100
Process
>>> choices = ["Atlanta Falcons", "New York Jets", "New York Giants", "Dallas Cowboys"]
>>> process.extract("new york jets", choices, limit=2)
[('New York Jets', 100), ('New York Giants', 78)]
>>> process.extractOne("cowboys", choices)
("Dallas Cowboys", 90)
You can also pass additional parameters to extractOne method to make it use a specific scorer. A typical use case is to match file paths:
>>> process.extractOne("System of a down - Hypnotize - Heroin", songs)
('/music/library/good/System of a Down/2005 - Hypnotize/01 - Attack.mp3', 86)
>>> process.extractOne("System of a down - Hypnotize - Heroin", songs, scorer=fuzz.token_sort_ratio)
("/music/library/good/System of a Down/2005 - Hypnotize/10 - She's Like Heroin.mp3", 61)
Known Ports
fuzzywuzzymit is being ported to other languages too! Here are a few ports we know about:
Rust: fuzzyrusty (Rust port)
JavaScript: fuzzball.js (JavaScript port)
C++: Tmplt/fuzzywuzzymit
Metadata
Release files for fuzzywuzzymit 0.0.2
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Total release size: 33.6 kB
Release files / fuzzywuzzymit-0.0.2.tar.gz
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