Does it support 3D plotting and complex layouts?

Yes, the skill covers 3D surfaces and scatter plots, as well as advanced layout techniques like Subplot Mosaic and GridSpec for complex figure arrangements.

Does this skill support the Object-Oriented API?

Yes, it specifically recommends and provides implementation patterns for the OO interface (using Figure and Axes objects) for better control and maintainability.

What is the Matplotlib Claude Code Skill?

It is a specialized capability that enhances Claude's ability to write high-quality Python visualization code, providing domain-specific patterns for the Matplotlib library.

Can I create publication-quality figures with this skill?

Absolutely. It includes guidance on high-DPI exports, vector formats like PDF and SVG, and styling parameters required for scientific journals.

Matplotlib Visualization

Name: Matplotlib Visualization
Author: sanand0

bysanand0

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数据科学与机器学习

Generates publication-quality scientific visualizations and complex multi-panel plots using Python's foundational Matplotlib library.

关于

This skill empowers developers and researchers to master Matplotlib for creating static, animated, and interactive visualizations. It provides comprehensive guidance on choosing between the pyplot interface and the object-oriented API, implementing multi-panel subplots, and customizing plot aesthetics for scientific publication. Whether you are building simple line charts or complex 3D visualizations, this skill offers the patterns and best practices needed to create professional-grade figures efficiently within the Claude Code environment.

主要功能

Custom styling and publication-quality export (PNG, PDF, SVG)
Best practices for accessibility and colorblind-friendly colormaps
Implementation patterns for multi-panel figures and mosaic layouts
Expert guidance on Object-Oriented and Pyplot interfaces
Advanced support for 3D plots, heatmaps, and statistical charts
3 GitHub stars

使用场景

Automating the creation of standardized reports with consistent visual branding
Generating publication-ready figures for scientific research papers and journals
Developing interactive data dashboards and analytical visualizations in Jupyter

关于

主要功能

Custom styling and publication-quality export (PNG, PDF, SVG)
Best practices for accessibility and colorblind-friendly colormaps
Implementation patterns for multi-panel figures and mosaic layouts
Expert guidance on Object-Oriented and Pyplot interfaces
Advanced support for 3D plots, heatmaps, and statistical charts
3 GitHub stars

使用场景

Automating the creation of standardized reports with consistent visual branding
Generating publication-ready figures for scientific research papers and journals
Developing interactive data dashboards and analytical visualizations in Jupyter