Does this skill support the object-oriented Matplotlib interface?

Yes, the skill emphasizes the object-oriented API (using fig and ax) as the recommended approach for professional and maintainable code, while still supporting the simpler pyplot interface.

Is it compatible with NumPy and Pandas?

Yes, it is designed to integrate seamlessly with NumPy arrays and Pandas DataFrames, which are the standard data structures for Matplotlib visualizations.

Can I use this skill to create figures for research papers?

Absolutely. It includes guidance on setting figure dimensions, DPI, and exporting to vector formats like PDF and SVG to meet high-standard publication requirements.

Does it help with 3D plotting?

Yes, the skill provides patterns and instructions for creating 3D surfaces, scatter plots, and wireframes using the mplot3d toolkit.

How does it handle layout issues like overlapping labels?

It implements best practices such as constrained_layout=True and tight_layout() to automatically manage spacing between subplots and labels.

Matplotlib Scientific Plotting

Name: Matplotlib Scientific Plotting
Author: Activer007

byActiver007

0•

数据科学与机器学习

Generates professional, publication-quality data visualizations and charts using Python's foundational plotting library.

The Matplotlib skill empowers Claude to create a wide range of static, animated, and interactive visualizations within Python environments. It provides specialized guidance on both the state-based pyplot interface and the more robust object-oriented API, ensuring users can build everything from simple line charts to complex multi-panel scientific figures. By implementing best practices for colormap selection, layout management, and export settings, this skill helps developers and data scientists produce clear, accessible, and aesthetically pleasing charts for research papers, presentations, and data analysis reports.

主要功能

010 GitHub stars

02Advanced subplot management and custom grid layouts

03Comprehensive plot types including 2D, 3D, heatmaps, and contours

04Publication-ready export options (PNG, PDF, SVG) with DPI control

05Support for both Object-Oriented and pyplot interfaces

06Best practices for accessible and colorblind-friendly visualizations

使用场景

01Building automated data visualization pipelines for analytical reports

02Customizing complex multi-axis charts for comparative data analysis

03Creating high-resolution figures for scientific publications and journals

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add activer007/ordinary-claude-skills matplotlib

For use in Claude.ai and ChatGPT

Download Skill