kopia lustrzana https://github.com/crflynn/voting
f0ac677c7e
Bumps [certifi](https://github.com/certifi/python-certifi) from 2019.6.16 to 2022.12.7. - [Release notes](https://github.com/certifi/python-certifi/releases) - [Commits](https://github.com/certifi/python-certifi/compare/2019.06.16...2022.12.07) --- updated-dependencies: - dependency-name: certifi dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com> |
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README.rst
voting ====== |travis| |rtd| |codecov| |pypi| |pyversions| .. |travis| image:: https://img.shields.io/travis/crflynn/voting.svg :target: https://travis-ci.org/crflynn/voting .. |rtd| image:: https://img.shields.io/readthedocs/voting.svg :target: http://voting.readthedocs.io/en/latest/ .. |codecov| image:: https://codecov.io/gh/crflynn/voting/branch/master/graphs/badge.svg :target: https://codecov.io/gh/crflynn/voting .. |pypi| image:: https://img.shields.io/pypi/v/voting.svg :target: https://pypi.python.org/pypi/voting .. |pyversions| image:: https://img.shields.io/pypi/pyversions/voting.svg :target: https://pypi.python.org/pypi/voting A pure Python module for election quotas, voting measures, and apportionment methods. Installation ------------ The ``voting`` package works in Python 2.7, 3.5, 3.6 and 3.7. 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_loosemore_hanby * 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)