A Python implementation of common apportionment methods
Project description
A Python implementation of common apportionment methods
This is a collection of common apportionment methods. Apportionment has two main applications: to assign a fixed number of parliamentary seats to parties (proportionally to their vote count), and to assign representatives in a senate to states (proportionally to their population count). A recommendable overview of apportionment methods can be found in the book "Fair Representation" by Balinski and Young [2].
The following apportionment methods are implemented:
- the largest remainder method (or Hamilton method)
- the class of divisor methods including
- D'Hondt (or Jefferson)
- Sainte-Laguë (or Webster)
- Modified Sainte-Laguë (as used e.g. in Norway)
- Huntington-Hill
- Adams
- the quota method [1]
This module supports Python 3.7+.
Installation
Using pip:
pip install apportionment
Latest development version from source:
git clone https://github.com/martinlackner/abcvoting/
python setup.py install
Requirements:
- Python 3.7+
- numpy
A simple example
The following example calculates the seat distribution of Austrian representatives in the European Parliament based on the D'Hondt method and the 2019 election results. Parties that received less than 4% are excluded from obtaining seats and are thus excluded in the calculation.
import apportionment.methods as app
parties = ['OEVP', 'SPOE', 'FPOE', 'GRUENE', 'NEOS']
votes = [1305956, 903151, 650114, 532193, 319024]
seats = 18
app.compute("dhondt", votes, seats, parties, verbose=True)
The output is
D'Hondt (Jefferson) method
OEVP: 7
SPOE: 5
FPOE: 3
GRUENE: 2
NEOS: 1
which is indeed the official result.
Another example can be found in apportionment/examples/simple.py. We verify results from recent Austrian National Council elections in apportionment/examples/austria.py and from recent elections of the Israeli Knesset in apportionment/examples/israel.py.
References
[1] Balinski, M. L., & Young, H. P. (1975). The quota method of apportionment. The American Mathematical Monthly, 82(7), 701-730.
[2] Balinski, M. L., & Young, H. P. (1982). Fair Representation: Meeting the Ideal of One Man, One Vote. Yale University Press, 1982. (There is a second edition from 2001 by Brookings Institution Press.)
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 Distributions
Built Distribution
File details
Details for the file apportionment-1.0-py3-none-any.whl
.
File metadata
- Download URL: apportionment-1.0-py3-none-any.whl
- Upload date:
- Size: 6.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9a8bb1e8a3b4d94002f4a36552810ec2bc1e8e5f32a4582874743ef017575f1e |
|
MD5 | 8703ff83b03ce344f264fc1d63635f38 |
|
BLAKE2b-256 | ac184781cea71cb197f62dc8c0d8d34853c7fe3a9689b81d566cfdc0593bccb4 |