Can I export figures for research papers using this skill?

Yes, the skill includes best practices for exporting in high-resolution PNG, PDF, and SVG formats, ensuring figures meet the standards for scientific publication.

Does it support 3D plotting?

Absolutely. It provides workflows for 3D surfaces, scatter plots, and line plots using Matplotlib's mplot3d toolkit.

Does this skill use the Pyplot or Object-Oriented interface?

While it supports both, the skill recommends and prioritizes the Object-Oriented interface for better control, explicit state management, and maintainability in complex projects.

Is it compatible with NumPy and Pandas?

Yes, the skill is designed to integrate seamlessly with NumPy arrays and Pandas DataFrames for direct data-to-plot workflows.

Matplotlib Scientific Visualization

Name: Matplotlib Scientific Visualization
Author: jimmc414

byjimmc414

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324

数据科学与机器学习

Generates professional, publication-ready scientific plots and data visualizations using Python's foundational Matplotlib library.

关于

This skill empowers Claude to create a wide range of static, animated, and interactive visualizations, from simple line charts to complex multi-panel figures and 3D plots. It emphasizes the object-oriented interface for precise control and covers best practices for scientific publishing, including high-resolution exporting, colorblind-friendly palettes, and accessible design. Whether you're exploring datasets or preparing figures for a research paper, this skill provides the patterns and templates needed for professional-grade data presentation within the Kosmos AI Scientist framework.

主要功能

Object-oriented API guidance for explicit control and maintainable code
Publication-quality export support for PNG, PDF, and SVG with DPI optimization
Specialized 3D visualization and complex statistical plot implementations
Standardized creation of line, scatter, bar, histogram, and heatmap plots
324 GitHub stars
Advanced multi-panel layouts using subplots, subplot_mosaic, and GridSpec

使用场景

Automating the creation of comparative data dashboards and multi-panel charts
Performing exploratory data analysis and visualizing statistical distributions
Generating high-resolution figures for scientific journals or research reports

关于

主要功能

Object-oriented API guidance for explicit control and maintainable code
Publication-quality export support for PNG, PDF, and SVG with DPI optimization
Specialized 3D visualization and complex statistical plot implementations
Standardized creation of line, scatter, bar, histogram, and heatmap plots
324 GitHub stars
Advanced multi-panel layouts using subplots, subplot_mosaic, and GridSpec

使用场景

Automating the creation of comparative data dashboards and multi-panel charts
Performing exploratory data analysis and visualizing statistical distributions
Generating high-resolution figures for scientific journals or research reports