Metadata-Version: 2.0
Name: voting
Version: 0.1.1
Summary: Voting and election related functions.
Home-page: https://github.com/crflynn/voting
Author: Christopher Flynn
Author-email: crf204@gmail.com
License: MIT
Description-Content-Type: UNKNOWN
Keywords: voting disproportionality apportionment diversity election
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics

voting
======

A pure Python module for election quotas, voting measures, and apportionment
methods.

Installation
------------

The ``voting`` package works in Python 2.7, 3.4, 3.5, 3.6. It is available on
pypi and can be installed using pip.

.. code-block:: shell

    pip install voting

Package structure
-----------------

* voting

  * apportionment

    * adams
    * dhondt
    * hagenbach_bischoff
    * hamilton
    * huntington_hill
    * jefferson
    * sainte_lague
    * vinton
    * webster

  * diversity

    * berger_parker
    * general
    * gini_simpson
    * golosov
    * inverse_simpson
    * laakso_taagepera
    * renyi
    * shannon
    * simpson

  * proportion

    * adjusted
    * dhondt
    * gallagher
    * grofman
    * least_square
    * lijphart
    * loosemore_hanby
    * rae
    * regression
    * rose
    * sainte_lague

  * quota

    * droop
    * hagenbach_bischoff
    * hare
    * imperiali

Examples
--------

Apportioning seats using the Huntington-Hill method.

.. code-block:: python

    from voting import apportionment


    votes = [2560, 3315, 995, 5012]
    seats = 20
    assignments = apportionment.huntington_hill(votes, seats)


Calculating the effective number of parties using Golosov's measure.

.. code-block:: python

    from voting import diversity


    parties = [750, 150, 50, 50]
    effective_parties = diversity.golosov(parties)


Measuring the disproportionality of democratic representation using the
Sainte-Lague measure.

.. code-block:: python

    from voting import proportion


    votes = [750, 150, 50, 50]
    seats = [80, 16, 2, 2]
    disproportionality = proportion.sainte_lague(votes, seats)

Determining the Droop quota

.. code-block:: python

    from voting import quota


    votes = 1000
    seats = 20
    election_quota = quota.droop(votes, seats)


