How Can I Calculate String Similarity as a Probability in Python?

Measuring String Similarity with Python's Standard Library

Quantifying the similarity between two strings is a valuable task in various applications. Python offers a standard library that provides a convenient solution for this purpose.

Problem:

How can we determine the probability of a string being similar to another string in Python? We aim to obtain a decimal value, such as 0.9 (90%), to represent the similarity level.

Solution:

Python's difflib module includes the SequenceMatcher class, which facilitates the computation of string similarity. The ratio() method of this class returns a decimal value in the range [0, 1], where 0 indicates no similarity and 1 denotes complete similarity.

Implementation:

Example Usage:

These examples illustrate that "Apple" and "Appel" have a high similarity score (0.8) due to their close spelling, while "Apple" and "Mango" have a low similarity score (0.0) because they are very different.

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