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apportionment-1.0
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A Python implementation of common apportionment methods
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | apportionment-1.0 |
| نام | apportionment |
| نسخه کتابخانه | 1.0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Martin Lackner |
| ایمیل نویسنده | unexpected@sent.at |
| آدرس صفحه اصلی | https://github.com/martinlackner/apportionment/ |
| آدرس اینترنتی | https://pypi.org/project/apportionment/ |
| مجوز | MIT License |
[](https://doi.org/10.5281/zenodo.6108968)
[](https://choosealicense.com/licenses/mit/)
[](https://pypi.org/project/apportionment/)
[](https://github.com/martinlackner/apportionment/actions)
[](https://github.com/martinlackner/apportionment/actions)
# 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](https://en.wikipedia.org/wiki/Party-list_proportional_representation) (proportionally to their vote count), and to assign
[representatives in a senate to states](https://en.wikipedia.org/wiki/United_States_congressional_apportionment) (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:
```bash
pip install apportionment
```
Latest development version from source:
```bash
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](https://www.bmi.gv.at/412/Europawahlen/Europawahl_2019). Parties that received less than 4% are excluded from obtaining seats and are thus excluded in the calculation.
```python
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](https://www.bmi.gv.at/412/Europawahlen/Europawahl_2019).
Another example can be found in [apportionment/examples/simple.py](apportionment/examples/simple.py).
We verify results from recent Austrian National Council elections in [apportionment/examples/austria.py](apportionment/examples/austria.py) and from recent elections of the Israeli Knesset in [apportionment/examples/israel.py](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.)
نیازمندی
| مقدار | نام |
|---|---|
| >=1.20 | numpy |
| >=6 | pytest |
| >=5.3 | coverage[toml] |
| ==22.1.0 | black |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.7 | Python |
نحوه نصب
نصب پکیج whl apportionment-1.0:
pip install apportionment-1.0.whl
نصب پکیج tar.gz apportionment-1.0:
pip install apportionment-1.0.tar.gz