Requirements for thefuzz
masterTo use thefuzz, ensure you meet the following requirements:
- Python 3.8 or higher
rapidfuzz
repository·master·Indexed 24 days ago
https://github.com/seatgeek/thefuzzA Python library for fuzzy string matching using Levenshtein Distance. It provides scoring methods via the thefuzz.fuzz module, including ratio, partial_ratio, token_sort_ratio, and token_set_ratio, as well as tools for extracting the best matches from a list using the thefuzz.process module.
To use thefuzz, ensure you meet the following requirements:
rapidfuzzYou can install thefuzz using pip from PyPI.
pip install thefuzzYou can install thefuzz directly from the GitHub repository using pip or by cloning the repository manually.
# Using pip via GitHub
pip install git+git://github.com/seatgeek/thefuzz.git@0.19.0#egg=thefuzz
# Adding to requirements.txt
git+ssh://git@github.com/seatgeek/thefuzz.git@0.19.0#egg=thefuzz
# Manually via GIT
git clone git://github.com/seatgeek/thefuzz.git thefuzz
cd thefuzz
python setup.py installThe thefuzz.process module allows you to find the best matches for a string within a list of choices.
process.extract(query, choices, limit=None): Returns a list of the top limit matches, where each match is a tuple of (match, score).process.extractOne(query, choices, scorer=None): Returns the single best match as a tuple of (match, score). You can specify a custom scorer from the fuzz module.The thefuzz.fuzz module provides several methods to calculate the similarity between two strings using different algorithms based on Levenshtein Distance.
fuzz.ratio: Simple ratio comparison.fuzz.partial_ratio: Partial ratio comparison.fuzz.token_sort_ratio: Compares strings after sorting tokens alphabetically.fuzz.token_set_ratio: Compares strings after sorting tokens and removing duplicates.fuzz.partial_token_sort_ratio: A combination of partial ratio and token sort ratio.