is it possible to do fuzzy match merge with python pandas?

Question

I have two DataFrames which I want to merge based on a column. However, due to alternate spellings, different number of spaces, absence/presence of diacritical marks, I woul

Answer 1

There is a package called fuzzy_pandas that can use levenshtein, jaro, metaphone and bilenco methods. With some great examples here

import pandas as pd
import fuzzy_pandas as fpd

df1 = pd.DataFrame({'Key':['Apple', 'Banana', 'Orange', 'Strawberry']})
df2 = pd.DataFrame({'Key':['Aple', 'Mango', 'Orag', 'Straw', 'Bannanna', 'Berry']})

results = fpd.fuzzy_merge(df1, df2,
            left_on='Key',
            right_on='Key',
            method='levenshtein',
            threshold=0.6)

results.head()

  Key    Key
0 Apple  Aple
1 Banana Bannanna
2 Orange Orag