PyFLASH 0.3.1

Association-coefficient plots now explain each statistic in the side panel, including the selected test, direction, confidence interval and comparison. Test results stay out of the title. Showing or hiding statistics leaves the canvas and plotting area unchanged.

This release also preserves text metadata when importing CSV tables with pandas 3, rather than trying to average subject labels or covariates.

Validation: 237 release checks passed; one local developer-tool check was skipped because that tool is excluded from public source archives. All 83 checks with current dependencies passed. An isolated wheel installation passed the simulated demo and fixed-dimension plot checks. Documentation, citation metadata, distributions and public-safety audits passed.

PyFLASH 0.2.0

PyFLASH 0.2.0

PyFLASH-analysis 0.1.4

Full Changelog: v0.1.3...v0.1.4

PyFLASH-analysis 0.1.3

PyFLASH-analysis 0.1.3 minimal public release.

• Removes non-essential public files from the GitHub/PyPI release surface: docs, tests, standalone explanatory documents, and README-only image assets.
• Keeps only runtime package source, package metadata, README, LICENSE, CITATION.cff, and minimal build manifest.
• Keeps the PyPI distribution name as PyFLASH-analysis and the import package as PyFLASH.

Install with:

pip install PyFLASH-analysis