Matplotlib
Skill Verifiziert AktivLow-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.
To provide in-depth guidance and practical examples for using Matplotlib for custom, publication-quality scientific visualizations.
Funktionen
- Detailed guidance on Matplotlib's object-oriented interface
- Examples for a wide range of plot types (line, scatter, bar, heatmap, 3D, etc.)
- Comprehensive styling and customization options
- Workflows for basic plots, subplots, and complex figures
- Best practices for accessibility, performance, and code organization
Anwendungsfälle
- Creating publication-quality scientific figures
- Customizing every element of a plot
- Generating novel or complex plot types
- Integrating Matplotlib into scientific workflows
Nicht-Ziele
- Replacing quick statistical plotting libraries like Seaborn
- Providing interactive plotting capabilities beyond static exports
- Acting as a replacement for full-fledged scientific visualization suites
Installation
npx skills add K-Dense-AI/claude-scientific-skillsFührt das Vercel skills CLI (skills.sh) via npx aus — benötigt Node.js lokal und mindestens einen installierten skills-kompatiblen Agent (Claude Code, Cursor, Codex, …). Setzt voraus, dass das Repo dem agentskills.io-Format folgt.
Qualitätspunktzahl
VerifiziertVertrauenssignale
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