Can this skill help with high-resolution exports for papers?

Yes, it provides best practices for saving figures in formats like PNG, PDF, and SVG with specific DPI settings (e.g., 300 DPI) and bbox_inches='tight' to ensure publication quality.

Why should I use the Object-Oriented interface over Pyplot?

The OO interface provides explicit control over Figure and Axes objects, making it easier to manage complex layouts, multiple subplots, and maintainable code compared to the state-based Pyplot approach.

How do I ensure my plots are accessible to colorblind viewers?

The skill recommends using perceptually uniform colormaps like 'viridis' or 'cividis' and suggests adding patterns or hatching to bar charts to ensure data is distinguishable without color.

Does Claude support 3D plotting with this skill?

Absolutely. The skill includes comprehensive guidance on using mpl_toolkits.mplot3d for surface plots, 3D scatter plots, and 3D line visualizations.

Matplotlib Scientific Visualization

Name: Matplotlib Scientific Visualization
Author: Zehong-Wang

byZehong-Wang

0•

Data Science & ML

Create publication-quality static, animated, and interactive visualizations using Python's foundational plotting library.

This skill empowers Claude to generate sophisticated scientific and statistical plots using Matplotlib's comprehensive toolset. It provides expert guidance on both the user-friendly pyplot interface and the robust object-oriented API, enabling the creation of everything from basic line charts to complex multi-panel figures. By incorporating best practices for layout management, color accessibility, and high-resolution exports, it helps developers and data scientists produce professional-grade visuals suitable for research papers, presentations, and data analysis reports.

Key Features

01Support for diverse plot types including line, scatter, bar, histograms, heatmaps, and 3D.

02Expertise in the object-oriented API for granular control over Figure and Axes objects.

03Built-in templates for publication-quality styling and layout management.

04Configuration for high-resolution exports in PNG, PDF, and SVG formats.

05Guidance on accessibility using colorblind-friendly colormaps and hatching.

060 GitHub stars

Use Cases

01Generating complex statistical visualizations for data analysis and reporting.

02Creating multi-panel figures with custom subplots and precise annotations for research.

03Automating the production of high-resolution charts for scientific publications.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zehong-wang/kosmos matplotlib

For use in Claude.ai and ChatGPT