https://github.com/ncrocfer/similar

A similar text finder written in Python
https://github.com/ncrocfer/similar

Last synced: 11 months ago
JSON representation

A similar text finder written in Python

• Host: GitHub
• URL: https://github.com/ncrocfer/similar
• Owner: ncrocfer
• License: mit
• Created: 2015-05-21T21:50:35.000Z (about 11 years ago)
• Default Branch: master
• Last Pushed: 2015-06-01T21:59:14.000Z (about 11 years ago)
• Last Synced: 2024-10-29T20:57:09.648Z (over 1 year ago)
• Language: Python
• Size: 145 KB
• Stars: 10
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE.txt

Awesome Lists containing this project

README

          
similar - A similar text finder written in Python 

=================================================

.. image:: https://travis-ci.org/ncrocfer/similar.svg?branch=master

    :target: https://travis-ci.org/ncrocfer/similar

:code:`similar` is a Python library used to find the correct spelling from a misspelled text.

Usage

-----

.. code-block:: python

    >>> from similar import best_match

    >>> best_match('rasbery', ['apple', 'raspberry', 'pear'])

    raspberry

Installation

------------

The tool works with Python 2 and Python 3. It can be installed with `Pip` :

::

    pip install similar

Notes

-----

You can also use a file object for the wordlist :

.. code-block:: python

    from similar import Similar

    s = Similar('rasbery', open('wordlist.txt'))

    print(s.best())

Or a generator :

.. code-block:: python

    from similar import Similar

    def genwords():

        for line in ['apple', 'raspberry', 'pear']:

            yield line

    s = Similar('rasbery', genwords())

    print(s.best())