Python Fuzzy Matching (FuzzyWuzzy) - Keep only Best Match

Question

I\'m trying to fuzzy match two csv files, each containing one column of names, that are similar but not the same.

My code so far is as follows:

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Answer 1

fuzzywuzzy's process.extract() returns the list in reverse sorted order , with the best match coming first.

so to find just the best match, you can set the limit argument as 1 , so that it only returns the best match, and if that is greater than 60 , you can write it to the csv, like you are doing now.

Example -

from fuzzywuzzy import process
## For each row in the lookup compute the partial ratio
for row in parse_csv("names_2.csv"):

    for found, score, matchrow in process.extract(row, data, limit=1):
        if score >= 60:
            print('%d%% partial match: "%s" with "%s" ' % (score, row, found))
            Digi_Results = [row, score, found]
            writer.writerow(Digi_Results)