SuperAPI AI Directory

scientific-figure-making

Data & analytics

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Updated 10-15 17:05

About this skill

Scientific figure making

Open references/ only as needed; do not preload every file. Start from the table below, then follow links inside the document you opened (and into figure_* code via references/demos.md) instead of loading the full reference set up front.

When to load this skill

  • Matplotlib figures for papers, slides, or reports that must match this repo’s publication look (fonts, palette, spines, legends, export).
  • Requests involving grouped bars, trend lines, heatmaps, multi-panel grids, or PDF/SVG/high-DPI output in a scientific-figure context.
  • References to figures4papers figure_* projects or “same style as the repo figures.”

When not to load

  • Plotly, Altair, Bokeh, or other interactive / web-first plotting.
  • EDA-only plots where seaborn or pandas is enough until there is a publication target.
  • Primary workflow is 3D, GIS, or non-matplotlib tooling.
  • Illustrator / Figma–first layout or infographic (not matplotlib data plots).

Related files

File Open when
references/tutorials.md End-to-end walkthroughs (bar, trends, heatmap)
references/api.md Function signatures, PALETTE, validation rules
references/common-patterns.md Layout patterns, legend panel, print-safe bars
references/design-theory.md Typography, export policy, palette rationale
references/demos.md Canonical figure_* demo links in figures4papers