Meaning behind 'thefuzz' / 'rapidfuzz' similarity metric when comparing strings Question: When using thefuzz in Python to calculate a simple ratio between two strings, a result of 0 means they are totally different while a result of 100 represents a 100% match. What do intermediate results mean? Does a result of 82, say, mean that …
String edit distance in python Question: I need to check if the string distance (Measure the minimal number of changes – character removal, addition, and transposition) between two strings in python is greater than 1. I can implement it on my own, but I bet there are existing packages for that would save me from …
Levenstein distance substring Question: Is there a good way to use levenstein distance to match one particular string to any region within a second longer string? Example: str1=’aaaaa’ str2=’bbbbbbaabaabbbb’ if str1 in str2 with a distance < 2: return True So in the above example part of string 2 is aabaa and distance(str1,str2) < 2 …
How python-Levenshtein.ratio is computed Question: According to the python-Levenshtein.ratio source: https://github.com/miohtama/python-Levenshtein/blob/master/Levenshtein.c#L722 it’s computed as (lensum – ldist) / lensum. This works for # pip install python-Levenshtein import Levenshtein Levenshtein.distance(‘ab’, ‘a’) # returns 1 Levenshtein.ratio(‘ab’, ‘a’) # returns 0.666666 However, it seems to break with Levenshtein.distance(‘ab’, ‘ac’) # returns 1 Levenshtein.ratio(‘ab’, ‘ac’) # returns 0.5 I …
String similarity metrics in Python Question: I want to find string similarity between two strings. en.wikipedia has examples of some of them. code.google has a Python implementation of Levenshtein distance. Is there a better algorithm, (and hopefully a Python library), under these constraints: I want to do fuzzy matches between strings. eg matches(‘Hello, All you …
How can I optimize this Python code to generate all words with word-distance 1? Question: Profiling shows this is the slowest segment of my code for a little word game I wrote: def distance(word1, word2): difference = 0 for i in range(len(word1)): if word1[i] != word2[i]: difference += 1 return difference def getchildren(word, wordlist): return …
