Low-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots use seaborn; for interactive plots use plotly; for publication-ready multi-panel figures with journal styling, use scientific-visualization.
How to install matplotlib?
ai4protein/venusfactory2/matplotlib
$npx -y skills add ai4protein/venusfactory2 --skill matplotlibInstalls into the current project.
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Run `npx skills use "https://github.com/ai4protein/venusfactory2" --skill "ai4protein/venusfactory2/matplotlib"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/ai4protein/venusfactory2" that are relevant to the current task. Run `npx skills add "https://github.com/ai4protein/venusfactory2"` and select the relevant skills, then follow their instructions.
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