Комментарии:
It would seem that the partial_ratio deinition changed - fuzz.partial_ratio('Hello World', 'Hello Hello World World World') now returns 100, and not 64 like in the video.
Ответитьwhy does fuzz.partial_ratio(paypal, trustpad-pancakeswap) gives result as 67??please help..
ОтветитьTry get_close_matches in python difflib.😊
ОтветитьWhat keyboard are you using ?
ОтветитьBrilliant tutorial! Really enjoyed working along in Jupyter notebook too. I’ve been needing to do a lot of fuzzy searching recently so this was a great demo of how the process works.
ОтветитьRadical tutorial, bro!
ОтветитьAwesome tutorial, how would you do this if you have a few hundred/thousands of strings in json and want to compare duplicates with slightly different names?
ОтветитьAwesome video. Thank you
ОтветитьThanks for sharing
ОтветитьThanks for sharing, good job!
ОтветитьThank you, very useful information.
ОтветитьI've build combinations of two strings in a list with itertools a = combinations(lines, 2). How can I compare these pairs of 2 strings with fuzzywuzzy?
ОтветитьThis is very useful stuff, keep up the good work. Appreciate you
ОтветитьThese videos are awesome, great job!
ОтветитьI'm waiting for ur vids bro keep going
ОтветитьThis will very useful. Thanks!
Ответитьmy mans uploading so quick, damn
ОтветитьI've fallen in love with your channel name and logo! Man they are just perfect 👌👌
ОтветитьVery nice Bro, this library is very impressive. I have a program that looks for a match of a specific text in another text and with this library it will help me to be more accurate.
ОтветитьI was actually looking for something like this, thanks
ОтветитьInteresting library to work. Maybe I could use it. Thank you 👍
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