levenshtein-distance
Compute operational differences between two sequences/texts using the Levenshtein algorithm
Installation:
pip install levenshtein-distance
Usage:
Regular Usage:
from levenshtein_distance import Levenshtein
lev_object = Levenshtein('test', 'text')
distance = lev_object.distance()
ratio = lev_object.ratio()
array = lev_object.sequence_array()
With replace operation cost of 2:
lev_object = Levenshtein('test', 'text').set_replace_cost(2)
distance = lev_object.distance()
ratio = lev_object.ratio()
array = lev_object.sequence_array()
1 maintainer
Metadata
1 maintainer
Release files for levenshtein-distance 1.0.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| levenshtein-distance-1.0.1.tar.gz | 3.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| levenshtein_distance-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.6 kB
Release files / levenshtein-distance-1.0.1.tar.gz
| Download URL | levenshtein-distance-1.0.1.tar.gz |
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| Size | 3.8 kB |
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Release files / levenshtein_distance-1.0.1-py3-none-any.whl
| Download URL | levenshtein_distance-1.0.1-py3-none-any.whl |
|---|---|
| Size | 4.7 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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