Description
Covers publication-ready matplotlib figures for academic papers, slides, and reports—bars, trends, scatter, heatmaps, and multi-panel layouts—with this repository’s house style, print/vector export conventions, and parity with figures4papers demos. Use when the user is finalizing or creating such figures in matplotlib. Do not use for interactive dashboards or web viz (Plotly, Altair, Bokeh), exploratory-only plots without a publication target, dominant 3D or geographic mapping, or Illustrator/Figma-first infographic workflows.
Recommended by
淡苍
Why we love this skill
An editor’s pick for turning Matplotlib data into publication-ready figures with a consistent scientific visual language. It stands out through repo-specific typography, palettes, layouts, legends, validation, and print-safe PDF, SVG, and high-DPI export guidance.
Showcase
Best for
Researchers and technical communicators preparing polished Matplotlib figures for papers, reports, or presentations.
How to use this Skill
Provide your input
Provide scientific data, the desired chart type, labels, and publication or presentation requirements.
Run the Skill
Create a publication-ready Matplotlib figure with consistent styling and print- and vector-friendly export options.
Review your result
Receive a polished scientific chart suitable for papers, reports, or slides.
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Information
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
- Use cases
- Writing & contentPresentations & reportingResearch & analysis
- What you get
- Image
