Skip to main content

psy-reg: Psyplot plugin for visualizing and calculating regression plots

CI Code coverage Latest Release

Code style: black Imports: isort PEP8 Checked with mypy

Welcome to the psyplot plugin for visualizating and calculating regression plots. This package uses the scipy and statsmodels packages to evaluate your data, fit a regression to it and visualize it through the psy-simple plugin.

It's plot methods are the linreg and densityreg plot methods.

See the full documentation on psyplot.github.io/psy-reg/ for all plot methods, and checkout the examples.

Installation

Install this package in a dedicated python environment via

python -m venv venv
source venv/bin/activate
pip install psy-reg

To use this in a development setup, clone the source code from gitlab, start the development server and make your changes::

git clone https://codebase.helmholtz.cloud/psyplot/psy-reg
cd psy-reg
python -m venv venv
source venv/bin/activate
make dev-install

More detailed installation instructions my be found in the docs.

Technical note

This package has been generated from the template https://codebase.helmholtz.cloud/psyplot/psyplot-plugin-template.git.

See the template repository for instructions on how to update the skeleton for this package.

License information

Copyright © 2021-2024 Helmholtz-Zentrum hereon GmbH

Code files in this repository are licensed under the LGPL-3.0-only, if not stated otherwise in the file.

Documentation files in this repository are licensed under CC-BY-4.0, if not stated otherwise in the file.

Supplementary and configuration files in this repository are licensed under CC0-1.0, if not stated otherwise in the file.

Please check the header of the individual files for more detailed information.

License management

License management is handled with reuse. If you have any questions on this, please have a look into the contributing guide or contact the maintainers of psy-reg.

Metadata

Release files for psy-reg 1.5.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for psy-reg 1.5.0
File Size Uploaded Provenance Actions
psy_reg-1.5.0.tar.gz 40.6 kB Without provenance Details for psy_reg-1.5.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for psy-reg 1.5.0
File Interpreter ABI Platform Actions
psy_reg-1.5.0-py3-none-any.whl Python 3 none any Details for psy_reg-1.5.0-py3-none-any.whl

Total release size: 78.2 kB

Release files / psy_reg-1.5.0.tar.gz

Download URL psy_reg-1.5.0.tar.gz
Size 40.6 kB
Tags Source
SHA-256 checksum
How to use checksums
c8003fe474a0a26330c0492b0e704e3956413813c8e25bb5cb538de40cdf49f1
BLAKE2b-256 checksum
How to use checksums
a4f48e339ea1d0027005062c65f6aaf8159b591dca7a01ced3957514ecc5a893
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.4

Release files / psy_reg-1.5.0-py3-none-any.whl

Download URL psy_reg-1.5.0-py3-none-any.whl
Size 37.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
7787d0f9369954d5cec5cfe272ec37be791a62f030f5f3405850d7c271d0e933
BLAKE2b-256 checksum
How to use checksums
601c999165724cc2972f4efa44993d7fb176e44ae35e2dfe0c55f786b38c3181
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.4

Security for psy-reg 1.5.0

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.

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