Pandas fuzzy join

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Pandas fuzzy join

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Last edited Oct 31, 2017

Created on Oct 31, 2017

This example shows how to align two Pandas DataFrames with slightly misspelled index labels, producing a joined table where each row pairs a number with its corresponding letter. The code uses `difflib.get_close_matches` within a `map` operation on the second DataFrame’s index to find the closest match in the first DataFrame’s index, then applies `df1.join(df2)` to merge them. The result corrects mismatches like "too" to "two" and "fours" to "four", demonstrating a fuzzy-join pattern with Pandas’ built-in join API.

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