Fuzzy matching using Python Pandas

Multi tool use
Multi tool use


Fuzzy matching using Python Pandas



I have two set of data:



A is the source data contain columns [company_name], [company_id]



B is test data contains only column [company_name]



I want to apply some fuzzy match function (soundex, levenshtein_distance etc.) to compare each [company_name] in B against all [company_name] in A, the aggregate the score to find out which company names in B has a match in A and output their correct ID from A.



Because the size of A and B data-frame are quite large, I cannot full join A and B.



Can anyone help me howto write a loop (or if there is any other way) to achieve my goals here?









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