Skip to main content

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)

Source distribution for rankpy 0.4.1
File Size Uploaded Provenance
rankpy-0.4.1.tar.gz 6.9 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for rankpy 0.4.1
File Interpreter ABI Platform
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
a85543f09c5f6abb28934b15bdef5a83427fa6a57f1b80a6d79c4e10b1b0469c
BLAKE2b-256 checksum
How to use checksums
b3e9cea53ec580a4653c979c18a4d101f781abdbf8bd3ced5b4b0be86f94a37b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.10.13

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
d00ac62b5afe583b355875a6247b4e4a3dac14e996d0fd10ca9315b549931977
BLAKE2b-256 checksum
How to use checksums
e386351f324fa5094907fdab696e6e8ede881dd10f8132c6783746efcd5030ff
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

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.4.1 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page