Fuzzy string matching in python
Project description
FuzzyWuzzy
Fuzzy string matching like a boss. It uses Levenshtein Distance to calculate the differences between sequences in a simple-to-use package.
Requirements
- Python 2.7 or higher
- difflib
- python-Levenshtein (optional, provides a 4-10x speedup in String Matching, though may result in differing results for certain cases)
For testing
- pycodestyle
- hypothesis
- pytest
Installation
Using PIP via PyPI
pip install fuzzywuzzy
or the following to install python-Levenshtein too
pip install fuzzywuzzy[speedup]
Using PIP via Github
pip install git+git://github.com/seatgeek/fuzzywuzzy.git@0.18.0#egg=fuzzywuzzy
Adding to your requirements.txt file (run pip install -r requirements.txt afterwards)
git+ssh://git@github.com/seatgeek/fuzzywuzzy.git@0.18.0#egg=fuzzywuzzy
Manually via GIT
git clone git://github.com/seatgeek/fuzzywuzzy.git fuzzywuzzy
cd fuzzywuzzy
python setup.py install
Usage
>>> from fuzzywuzzy import fuzz >>> from fuzzywuzzy 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
FuzzyWuzzy is being ported to other languages too! Here are a few ports we know about:
- Java: xpresso’s fuzzywuzzy implementation
- Java: fuzzywuzzy (java port)
- Rust: fuzzyrusty (Rust port)
- JavaScript: fuzzball.js (JavaScript port)
- C++: Tmplt/fuzzywuzzy
- C#: fuzzysharp (.Net port)
- Go: go-fuzzywuzz (Go port)
- Free Pascal: FuzzyWuzzy.pas (Free Pascal port)
- Kotlin multiplatform: FuzzyWuzzy-Kotlin
- R: fuzzywuzzyR (R port)
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