Fuzzy string matching like a boss. It uses Levenshtein Distance to calculate the differences between sequences in a simple-to-use package.

Overview

TheFuzz

Fuzzy string matching like a boss. It uses Levenshtein Distance to calculate the differences between sequences in a simple-to-use package.

Requirements

For testing

  • pycodestyle
  • hypothesis
  • pytest

Installation

Using PIP via PyPI

pip install thefuzz

or the following to install python-Levenshtein too

pip install thefuzz[speedup]

Using PIP via Github

pip install git+git://github.com/seatgeek/[email protected]#egg=thefuzz

Adding to your requirements.txt file (run pip install -r requirements.txt afterwards)

git+ssh://[email protected]/seatgeek/[email protected]#egg=thefuzz

Manually via GIT

git clone git://github.com/seatgeek/thefuzz.git thefuzz
cd thefuzz
python setup.py install

Usage

>>> from thefuzz import fuzz
>>> from thefuzz 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.token_sort_ratio("fuzzy wuzzy was a bear", "wuzzy fuzzy was a bear") 100 ">
>>> 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_set_ratio("fuzzy was a bear", "fuzzy fuzzy was a bear") 100 ">
>>> 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

>> process.extract("new york jets", choices, limit=2) [('New York Jets', 100), ('New York Giants', 78)] >>> process.extractOne("cowboys", choices) ("Dallas Cowboys", 90) ">
>>> 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, scorer=fuzz.token_sort_ratio) ("/music/library/good/System of a Down/2005 - Hypnotize/10 - She's Like Heroin.mp3", 61) ">
>>> 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)
Owner
SeatGeek
SeatGeek
JSON and CSV data for Swahili dictionary with over 16600+ words

kamusi JSON and CSV data for swahili dictionary with over 16600+ words. This repo consists of data from swahili dictionary with about 16683 words toge

Jordan Kalebu 8 Jan 13, 2022
Wordle strategy: Find frequency of letters appearing in 5-letter words in the English language

Find frequency of letters appearing in 5-letter words in the English language In

Gabriel Apolinário 1 Jan 17, 2022
Wikipedia Extractive Text Summarizer + Keywords Identification (entropy-based)

Wikipedia Extractive Text Summarizer + Keywords Identification (entropy-based)Wikipedia Extractive Text Summarizer + Keywords Identification (entropy-based)

Kevin Lai 1 Nov 08, 2021
A Python package to facilitate research on building and evaluating automated scoring models.

Rater Scoring Modeling Tool Introduction Automated scoring of written and spoken test responses is a growing field in educational natural language pro

ETS 59 Oct 10, 2022
Convert ebooks with few clicks on Telegram!

E-Book Converter Bot A bot that converts e-books to various formats, powered by calibre! It currently supports 34 input formats and 19 output formats.

Youssif Shaaban Alsager 45 Jan 05, 2023
The app gets your sutitle.srt and proccess it to extract sentences

DubbingAssistants This app gets your sutitle.srt and proccess it to extract sentences, and also find Start time and End time of them. Step 1: install

Ali Booresh 1 Jan 04, 2022
A program that looks through entered text and replaces certain commands with mathematical symbols

TextToSymbolConverter A program that looks through entered text and replaces certain commands with mathematical symbols Example: Syntax: Enter text in

1 Jan 02, 2022
从flomo导出的笔记中生成词云

flomo-word-cloud 从flomo导出的笔记中生成词云 如何使用? 将本项目克隆到你的电脑上,使用如下的命令,安装所需python库 pip install -r requirements.txt 在项目里新建一个file文件夹,把所有从flomo导出的html文件放入其中 运行main

Hannnk 9 Dec 30, 2022
ChirpText is a collection of text processing tools for Python 3.

ChirpText is a collection of text processing tools for Python 3. It is not meant to be a powerful tank like the popular NTLK but a small package which

Le Tuan Anh 5 Nov 30, 2022
Build a translation program similar to Google Translate with Python programming language and QT library

google-translate Build a translation program similar to Google Translate with Python programming language and QT library Different parts of the progra

Amir Hussein Sharifnezhad 3 Oct 09, 2021
PyNews 📰 Simple newsletter made with python 🐍🗞️

PyNews 📰 Simple newsletter made with python Install dependencies This project has some dependencies (see requirements.txt) that are not included in t

Luciano Felix 4 Aug 21, 2022
Fuzzy String Matching in Python

FuzzyWuzzy Fuzzy string matching like a boss. It uses Levenshtein Distance to calculate the differences between sequences in a simple-to-use package.

SeatGeek 8.8k Jan 08, 2023
Python Lex-Yacc

PLY (Python Lex-Yacc) Copyright (C) 2001-2020 David M. Beazley (Dabeaz LLC) All rights reserved. Redistribution and use in source and binary forms, wi

David Beazley 2.4k Dec 31, 2022
Word and phrase lists in CSV

Word Lists Word and phrase lists in CSV, collected from different sources. Oxford Word Lists: oxford-5k.csv - Oxford 3000 and 5000 oxford-opal.csv - O

Anton Zhiyanov 14 Oct 14, 2022
知乎评论区词云分析

zhihu-comment-wordcloud 知乎评论区词云分析 起源于:如何看待知乎问题“男生真的很不能接受彩礼吗?”的一个回答下评论数超8万条,创单个回答下评论数新记录? 项目代码说明 2.download_comment.py 下载全量评论 2.word_cloud_by_dt 生成词云 2

李国宝 10 Sep 26, 2022
Tools to extract questionaire of finalexam.eu and provide interactive questionaire with summary

AskMe This script is completely terminal based. No user interface is added. You can get the command line options by using the --help argument. Make su

David Loewe 1 Nov 09, 2021
This is REST-API for Indonesian Text Summarization using Non-Negative Matrix Factorization for the algorithm to summarize documents and FastAPI for the framework.

Indonesian Text Summarization Using FastAPI This is REST-API for Indonesian Text Summarization using Non-Negative Matrix Factorization for the algorit

Viqi Nurhaqiqi 2 Nov 03, 2022
An anthology of a variety of tools for the Persian language in Python

An anthology of a variety of tools for the Persian language in Python

Persian Tools 106 Nov 08, 2022
Adventura is an open source Python Text Adventure Engine

Adventura Adventura is an open source Python Text Adventure Engine, Not yet uplo

5 Oct 02, 2022
Goblin-sim - Procedural fantasy world generator

goblin-sim This project is an attempt to create a procedural goblin fantasy worl

3 May 18, 2022