fuzzywuzzy
RapidFuzz
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fuzzywuzzy | RapidFuzz | |
---|---|---|
20 | 11 | |
9,067 | 2,348 | |
0.0% | 4.3% | |
0.0 | 9.2 | |
about 1 year ago | 4 days ago | |
Python | C++ | |
GNU General Public License v2.0 only | MIT License |
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fuzzywuzzy
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Need help solving a subtitles problem. The logic seems complex
Do fuzzy matching (something like fuzzywuzzy maybe) to see if the the words line up (allowing for wrong words). You'll need to work out how to use scoring to work out how well aligned the two lists are.
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Thanks to this sub, we now have an Anki deck for Persona 5 Royal. Spreadsheet with Jp and Eng side by side too.
Convert the original lines to full furigana and do a fuzzy match. (For reference, the original line is 貴方がこれまでに得てきた力、存分に発揮してくださいね。) You can do a regional search using the initial scene data (E60) first, and if the confidence is low, go for a slower full search.
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Fuzzy search
It's now known as "thefuzz", see https://github.com/seatgeek/fuzzywuzzy
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import fuzzywuzzy
fuzzywuzzy is actually just called the thefuzz now.
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I made a bot that stops muck chains, here are the phrases that he looks for to flag the comment as a muck comment. Are there any muck forms I forgot about?
You can have a look at this library to use fuzzy search instead of looking for plaintext muck: https://github.com/seatgeek/fuzzywuzzy
- Test if two strings are similar?
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How would you approach this
To deal with comparing the string, I found FuzzyWuzzy ratio function that is returning a score of how much the strings are similar from 0-100.
- [D] Matching Records that "don't Exactly Match"
- Text Detection
- FuzzyWuzzy: Fuzzy String Matching in Python
RapidFuzz
- RapidFuzz: Rapid fuzzy string matching in Python
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OVOS migration with docker containers ...
Tried it, but it fails here: RUN pip3 install git+https://github.com/maxbachmann/RapidFuzz
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Map columns from 2 data sources when colums are named differently
RapidFuzz has been the most promising fuzzy matcher in my findings with .cdist()
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finding common strings
RapidFuzz is a faster implementation.
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Pandas: How can I check if a DataFrame is a subset of another DataFrame? Ideal scenario would be to identify a match percentage instead of requiring an exact match
For fuzzy matching - there's Rapidfuzz.
- What packages replaced standard library modules in your workflow?
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Fuzzy search
There is also https://github.com/maxbachmann/RapidFuzz which uses the MIT license.
- can i use concurrent for this or is there a better way
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Finding the distance between two sentences that that share mostly the same words.
RapidFuzz
- Can you extract indexes of data over a threshold from numpy array or pandas dataframe?
What are some alternatives?
jellyfish - 🪼 a python library for doing approximate and phonetic matching of strings.
PolyFuzz - Fuzzy string matching, grouping, and evaluation.
thefuzz - Fuzzy String Matching in Python
string_grouper - Super Fast String Matching in Python
Levenshtein - The Levenshtein Python C extension module contains functions for fast computation of Levenshtein distance and string similarity
strutil-go - Golang metrics for calculating string similarity and other string utility functions
ftfy - Fixes mojibake and other glitches in Unicode text, after the fact.
go-edlib - 📚 String comparison and edit distance algorithms library, featuring : Levenshtein, LCS, Hamming, Damerau levenshtein (OSA and Adjacent transpositions algorithms), Jaro-Winkler, Cosine, etc...
TextDistance - 📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
OpenBBTerminal - Investment Research for Everyone, Everywhere.
chardet - Python character encoding detector