Skip to main content

pref_voting is a Python package that contains tools to reason about elections and margin graphs, and implementations of voting methods.

Project description

pref_voting

Installation

With pip package manager:

pip install pref_voting

Documentation

Online documentation is available at https://pref-voting.readthedocs.io.

Example Usage

A profile (of linear orders over the candidates) is created by initializing a Profile class object. Simply provide a list of rankings (each ranking is a tuple of numbers) and a list giving the number of voters with each ranking:

from pref_voting.profiles import Profile

rankings = [
    (0, 1, 2, 3), 
    (2, 3, 1, 0), 
    (3, 1, 2, 0), 
    (1, 2, 0, 3), 
    (1, 3, 2, 0)]

rcounts = [5, 3, 2, 4, 3]

prof = Profile(rankings, rcounts=rcounts)

The function generate_profile is used to generate a profile for a given number of candidates and voters:

from pref_voting.generate_profiles import generate_profile

# generate a profile using the Impartial Culture probability model
prof = generate_profile(3, 4) # prof is a Profile object

# generate a profile using the Impartial Anonymous Culture probability model
prof = generate_profile(3, 4, probmod = "IAC") # prof is a Profile object 

To use one of the many voting methods, import the function from pref_voting.voting_methods and apply it to the profile:

from pref_voting.generate_profiles import generate_profile
from pref_voting.voting_methods import *

prof = generate_profile(3, 4)
split_cycle(prof) # returns the sorted list of winning candidates
split_cycle.display(prof) # display the winning candidates

Questions?

Feel free to send an email if you have questions about the project.

License

MIT

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pref_voting-1.13.20.tar.gz (186.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pref_voting-1.13.20-py3-none-any.whl (229.5 kB view details)

Uploaded Python 3

File details

Details for the file pref_voting-1.13.20.tar.gz.

File metadata

  • Download URL: pref_voting-1.13.20.tar.gz
  • Upload date:
  • Size: 186.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.3.2 CPython/3.10.9 Darwin/22.5.0

File hashes

Hashes for pref_voting-1.13.20.tar.gz
Algorithm Hash digest
SHA256 3844695b748a2686c4dfde4d6df465b331744c82b649922146b86ddcf1429831
MD5 5ebf5ef1d59f49448cbd10ffa2b157bb
BLAKE2b-256 4a66ebf53b21b6f42f71bdfe86ccbaf4ee74fa8813218b84b5f539b72f0b7035

See more details on using hashes here.

File details

Details for the file pref_voting-1.13.20-py3-none-any.whl.

File metadata

  • Download URL: pref_voting-1.13.20-py3-none-any.whl
  • Upload date:
  • Size: 229.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.3.2 CPython/3.10.9 Darwin/22.5.0

File hashes

Hashes for pref_voting-1.13.20-py3-none-any.whl
Algorithm Hash digest
SHA256 a1151f8468cf8edc10086a224dd894e8785a84514967de07967cbbb3cdfb39ee
MD5 37c441baee8c8cdf7f481aac1097ef23
BLAKE2b-256 584722a25879b78fbe6d38b2a59a10f1bc8ab401790eff3c32139c380a5b5119

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page