fuzzy-string-matching

name	fuzzy-string-matching
description	A skill for finding best string matches in datasets using fuzzy matching libraries like fuzzywuzzy or rapidfuzz.

Fuzzy String Matching

This skill demonstrates how to use fuzzy string matching to find company or fund names in a dataset.

Requirements

• fuzzywuzzy or rapidfuzz
• python-Levenshtein (optional but recommended for speed)

Installation

pip install rapidfuzz

Usage

import pandas as pd
from rapidfuzz import process, fuzz

df = pd.read_csv('data.tsv', sep='\t')
names = df['NAME_COLUMN'].dropna().unique()

# Find the best match
query = "Renaissance Technologies"
best_match = process.extractOne(query, names, scorer=fuzz.token_sort_ratio)

print(f"Best match: {best_match[0]} with score {best_match[1]}")