Search
******


Exact search
============

Find all individuals with the last_name "Groskopf":

   family = table.where(lambda r: r['last_name'] == 'Groskopf')


Fuzzy search by edit distance
=============================

By leveraging an existing Python library for computing the Levenshtein
edit distance it is trivially easy to implement a fuzzy string search.

For example, to find all names within 2 edits of "Groskopf":

   from Levenshtein import distance

   fuzzy_family = table.where(lambda r: distance(r['last_name'], 'Groskopf') <= 2)

These results will now include all those "Grosskopfs" and "Groskoffs"
whose mail I am always getting.


Fuzzy search by phonetic similarity
===================================

By using Fuzzy to calculate phonetic similarity, it is possible to
implement a fuzzy phonetic search.

For example to find all rows with *first_name* phonetically similar to
"Catherine":

   import fuzzy

   dmetaphone = fuzzy.DMetaphone(4)
   phonetic_search = dmetaphone('Catherine')

   def phonetic_match(r):
       return any(x in dmetaphone(r['first_name']) for x in phonetic_search)

   phonetic_family = table.where(lambda r: phonetic_match(r))
