Py Math Viz

Use Python to produce clean, readable plots and export to PNG by default.

Assumptions (this workspace):

• - Preferred interpreter: INLINECODE0
• Libraries: matplotlib, seaborn, numpy (already), opencv-python-headless (installed)

Defaults (quality rules)

• - Output: PNG, dpi>=200, white background
• Always label axes; add title if it helps
• Use legend when multiple series exist (and place it so it doesn’t cover data)
• Avoid overlap:

• - Use consistent styling:

Quick start (script)

Render a plot from a JSON spec.
To keep the workspace root clean, write outputs into out/ (or out/_scratch/ for throwaway experiments):

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Then send out/plots/plot.png (Telegram: use the message tool with filePath).

Plot spec

The spec is intentionally small.
Read:

• - references/spec.md — schema + examples
• INLINECODE15 — recipes index (points to JSON specs / seaborn snippets / image tiling)

OpenCV helpers

Tile multiple PNGs into one (for comparisons):

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When NOT to use

• - Interactive dashboards (Plotly/Dash) unless explicitly asked
• 3D/mesh-heavy rendering (use specialized tools if needed)