python-viz

name	python-viz
description	Python plotting and statistical-modelling libraries (matplotlib, seaborn, statsmodels) for the analyst presentation and statistical-methodology layers. Use when producing publication-quality figures or fitting statistical models in Python. Library-specific HOW for the tech-agnostic principles in the aops-tools analyst skill.

Python Visualisation & Statistical Modelling (academicOps)

These libraries are one swappable implementation. The analyst skill owns the statistical-methodology and presentation principles, which are library-neutral.

When to use

• You need to render a figure from PRE-COMPUTED data (presentation layer).
• You need to fit or diagnose a statistical model in Python (statistical-methodology layer) — pair this with the analyst skill's statistical-analysis reference for the methodology that drives the choice of test/model.

Where the API detail comes from

Fetch current library documentation at the point of use. matplotlib, seaborn, and statsmodels all move, and a copy pinned in this repo would be one more thing to keep true. Which test, which model, and how to report it is the analyst skill's question, not a library one.