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

You can use d6tjoin for that

import d6tjoin.top1
d6tjoin.top1.MergeTop1(df1.reset_index(),df2.reset_index(),
       fuzzy_left_on=['index'],fuzzy_right_on=['index']).merge()['merged']

index number index_right letter 0 one 1 one a 1 two 2 too b 2 three 3 three c 3 four 4 fours d 4 five 5 five e

It has a variety of additional features such as:

• check join quality, pre and post join
• customize similarity function, eg edit distance vs hamming distance
• specify max distance
• multi-core compute

For details see

• MergeTop1 examples - Best match join examples notebook
• PreJoin examples - Examples for diagnosing join problems