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.

Profiles and Voting Methods

A profile (of linear orders over the candidates) is created by initializing a Profile class object. This needs a list of rankings (each ranking is a tuple of numbers), the number of candidates, and a list giving the number of each ranking in the profile:

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 
from pref_voting.profiles import Profile
from pref_voting.voting_methods import *

prof = Profile(rankings, num_cands, rcounts=rcounts)
print(f"{split_cycle.name} winners:  {split_cycle(prof)}")
split_cycle.display(prof)

Versions

  • v0.1.10 (2022-08-09): Initial release
  • v0.1.13 (2022-11-05): Minor updates and bug fixes
  • v0.1.14 (2022-12-19): Add plurality_scores to ProfileWithTies; add generate ceots function; bug fixes
  • v0.1.23 (2022-12-27): Add instant_runoff_for_truncated_linear_orders and functions to truncate overvotes in a ProfileWithTies, add smith_irv_put, document analysis functions
  • v0.1.25 (2023-1-11): Add condorcet_irv, condorcet_irv_put; Update documentation; add axioms.py; add display and equality to Ranking class; fix enumerate ceots functions
  • v0.1.27 (2023-2-07): Add Borda for ProfileWithTies
  • v0.2 (2023-2-15): Add Benham, add anonymize to Profile method, comment out numba to make compatible with Python 3.11, add add_unranked_candidates to ProfileWithTies
  • v0.2.1 (2023-2-15): Bug fixes
  • v0.2.3 (2023-4-2): Add plurality_with_runoff_with_explanation
  • v0.2.4 (2023-4-9): Update generate_truncated_profile so that it implements the IC probability model.
  • v0.2.6 (2023-5-10): Add axiom class, dominance axioms, and axiom_violations_data.
  • v0.2.8 (2023-5-16): Add description function to Majority Graphs.
  • v0.2.11 (2023-5-16): Update implementation of Simple Stable Voting and Stable Voting.
  • v0.2.13 (2023-5-24): Improve implementation of split_cycle; Breaking changes: split_cycle_faster renamed split_cycle_Floyd_Warshall and beat_path_faster renamed beat_path_Floyd_Warshall.
  • v0.2.17 (2023-5-25): Add to_linear_profile to ProfileWithTies
  • v0.3.3 (2023-5-26): Add implementations of UtilityProfile and a number of different utility methods.
  • v0.3.4 (2023-5-30): Add write and from_string methods to a UtilityProfile.
  • v0.4 (2023-5-31): Add SpatialProfile class and utility functions for generating utility profiles from spatial profiles; add functions to generate a SpatialProfile.
  • v0.4.8 (2023-5-31): Add bottom two IRV and Tideman's alternative voting methods.
  • v0.4.12 (2023-6-3): Add probabilistic methods.
  • v0.5.0 (2023-9-24): Add _Mapping class with Utility and Grade as subclasses of _Mapping, add GradeProfile class, add Score Vote, Approval Vote, and STAR Vote.
  • v0.5.4 (2023-10-01): Add median grading voting methods.
  • v0.7.0 (2024-02-18): Use prefsampling for generating preference profiles.

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-0.7.7.tar.gz (130.9 kB view hashes)

Uploaded Source

Built Distribution

pref_voting-0.7.7-py3-none-any.whl (147.0 kB view hashes)

Uploaded Python 3

Supported by

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