Usage¶
Simple Example¶
You can usually just use the find_near_matches() utility function, which chooses a suitable fuzzy search implementation according to the given parameters:
>>> 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():
>>> 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)]