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# crflynn / voting Public

Diversity / (dis)proportionality measures, election quotas, and apportionment methods in pure Python.

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# 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.

`pip install voting`

## Package structure

• voting
• apportionment
• 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
• 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.

```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.

```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.

```from voting import proportion

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

Determining the Droop quota

```from voting import quota

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

Diversity / (dis)proportionality measures, election quotas, and apportionment methods in pure Python.

0.1.3 Latest
Oct 14, 2019

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