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fuzzysearch
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.. image:: https://badge.fury.io/py/fuzzysearch.png
:target: http://badge.fury.io/py/fuzzysearch
.. image:: https://travis-ci.org/taleinat/fuzzysearch.png?branch=master
:target: https://travis-ci.org/taleinat/fuzzysearch
.. image:: https://pypip.in/d/fuzzysearch/badge.png
:target: https://crate.io/packages/fuzzysearch?version=latest
fuzzysearch is useful for finding approximate subsequence matches
* Free software: MIT license
* Documentation: http://fuzzysearch.rtfd.org.
Features
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* Fuzzy sub-sequence search: Find parts of a sequence which match a given sub-sequence up to a given maximum Levenshtein distance.
Simple Example
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You can usually just use the `find_near_matches()` utility function, which
chooses a suitable fuzzy search implementation according to the given
parameters:
.. code:: python
>>> from fuzzysearch import find_near_matches
>>> find_near_matches('PATTERN', 'aaaPATERNaaa', max_l_dist=1)
[Match(start=3, end=9, dist=1)]
Advanced Example
----------------
If needed you can choose a specific search implementation, such as
`find_near_matches_with_ngrams()`:
.. code:: python
>>> sequence = '''\
GACTAGCACTGTAGGGATAACAATTTCACACAGGTGGACAATTACATTGAAAATCACAGATTGGTCACACACACA
TTGGACATACATAGAAACACACACACATACATTAGATACGAACATAGAAACACACATTAGACGCGTACATAGACA
CAAACACATTGACAGGCAGTTCAGATGATGACGCCCGACTGATACTCGCGTAGTCGTGGGAGGCAAGGCACACAG
GGGATAGG'''
>>> subsequence = 'TGCACTGTAGGGATAACAAT' #distance 1
>>> max_distance = 2
>>> from fuzzysearch import find_near_matches_with_ngrams
>>> find_near_matches_with_ngrams(subsequence, sequence, max_distance)
[Match(start=3, end=24, dist=1)]
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