Fuzzy Matching Guide

Overview

This skill provides methods to compare strings and find the best matches using Levenshtein distance and other similarity metrics. It is essential when joining datasets on string keys that are not identical.

Quick Start

from difflib import SequenceMatcher

def similarity(a, b):
    return SequenceMatcher(None, a, b).ratio()

print(similarity("Apple Inc.", "Apple Incorporated"))
# Output: 0.7...

Python Libraries