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======
Search
======
Exact search
============
Find all individuals with the last_name "Groskopf":
.. code-block:: python
family = table.where(lambda r: r['last_name'] == 'Groskopf')
Fuzzy search by edit distance
=============================
By leveraging an `existing Python library <https://pypi.python.org/pypi/python-Levenshtein/>`_ for computing the `Levenshtein edit distance <https://en.wikipedia.org/wiki/Levenshtein_distance>`_ it is trivially easy to implement a fuzzy string search.
For example, to find all names within 2 edits of "Groskopf":
.. code-block:: python
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 <https://pypi.python.org/pypi/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":
.. code-block:: python
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))
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