Does it include accessibility features for visualizations?

Yes, it promotes accessibility best practices such as using colorblind-friendly colormaps like viridis and adding hatching patterns to charts for better readability.

How does this skill help with complex plot layouts?

It provides detailed workflows for using subplots, Mosaic layouts, and GridSpec to precisely manage complex multi-panel figure arrangements without overlapping elements.

Does this skill support the Object-Oriented Matplotlib API?

Yes, the skill explicitly recommends and provides implementation patterns for the Object-Oriented interface to ensure better control and code maintainability.

Is there support for 3D plotting?

Yes, the skill covers 3D surface plots, 3D scatter plots, and 3D line plots using the mplot3d toolkit integration.

Can I export plots in vector formats like PDF or SVG?

Absolutely. The skill includes best practices and code snippets for exporting high-resolution PNGs as well as scalable PDF and SVG formats suitable for professional publications.

Matplotlib Visualization

Name: Matplotlib Visualization
Author: ricable

byricable

•

Ciencia de Datos y ML

Generates high-quality static, animated, and interactive visualizations for data analysis and scientific publication.

This skill enables Claude to effectively utilize Matplotlib, Python's foundational plotting library, to create a wide array of charts including line plots, scatter plots, histograms, and 3D visualizations. It provides specific guidance on choosing between the pyplot interface and the object-oriented API, ensuring the generation of clean, maintainable, and publication-ready figures. Whether for quick data exploration or complex multi-panel scientific figures, this skill ensures visualizations follow best practices for layout, styling, and accessibility.

Características Principales

01Advanced layout management with subplots and GridSpec

021 GitHub stars

03Publication-quality export settings for PNG, PDF, and SVG

04Custom styling via style sheets and rcParams customization

05Support for both Pyplot and Object-Oriented interfaces

06Comprehensive plot types including scatter, bar, heatmaps, and 3D

Casos de Uso

01Generating scientific figures for research papers and presentations

02Creating automated reporting dashboards and performance metrics charts

03Visualizing complex datasets during data exploration and analysis

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ricable/ultimate-ai-agent matplotlib

For use in Claude.ai and ChatGPT

Download Skill