rankpy
Various ranking and segmentation algorithms for lists of rankings.
Package organization
data
Sample .csv files representing survey data & input into the rankpy code.
environments
YAML file with the necessary Python packages for all code execution.
notebooks
Jupyter notebooks to show execution of the rankpy code.
rankpy
process_example.py -- Function to convert raw survey data into the required input.
rank.py -- Functions to apply Hodge ranking & validation testing.
tests
Unit tests for specific functions.
Metadata
Release files for rankpy 0.4.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| rankpy-0.4.1.tar.gz | 6.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rankpy-0.4.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.0 kB
Release files / rankpy-0.4.1.tar.gz
| Download URL | rankpy-0.4.1.tar.gz |
|---|---|
| Size | 6.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.13
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Release files / rankpy-0.4.1-py3-none-any.whl
| Download URL | rankpy-0.4.1-py3-none-any.whl |
|---|---|
| Size | 8.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
e386351f324fa5094907fdab696e6e8ede881dd10f8132c6783746efcd5030ff
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.13
|
Security for rankpy 0.4.1
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