fuzzywuzzy
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seatgeek
Fuzzy String Matching in Python
Would it be possible to include an optional parameter to check each letter of a searched string against a disguised letter dictionary including combinations such as "rn" ("r" and "n")...
There is a small typo in fuzzywuzzy/process.py. Should read `perform` rather than `perfom`.
Is it possible to use the Jaro-Winkler distance with the fuzzywuzzy package? If not, is it easily extandable? I want to find words that are similar to a specific word,...
How about adding meta phone scoring as well to match the strings. Since, same strings can be written in different way, for example, "Mira" and "Meera" should have similar score,...
Would be really handy to be able to return the matched phrase from the extract functions. For example: ``` python >>> choices = ["Atlanta Falcons", "New York Jets", "New York...
I copied everything from the README.rst and splitted it in installation and usage. How should the license be in the docs? in a separate page? as a note in the...
Maybe no one asked for this, but I saw a very minor improvement. (This is my first ever contribution attempt to a stranger's library, I'm open to critiques re: my...
Remiss not to include example of extremely useful `process.extractBests` -- easiest way to implement `score_cutoff`. Linter also picked up some dead white space.
Find the code below : df1 = pd.read_excel("some excel.xlsx") df1["Full Name"] = df1["First Name] + " " +df1["Last Name"] str2match = "John Smith" strOptions = df1["Full Name"].tolist() c_matches = process.extract(str2match,strOptions)...
