matplotlib
CommunityCreate publication-quality scientific plots
AuthorLin-Hi
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Matplotlib guidance and templates reduce the friction of producing, styling, and exporting high-quality static and 3D visualizations from Python, making it easier to turn analytical results into publication-ready figures.
Core Features & Use Cases
- Object-oriented Figure/Axes patterns and pyplot shortcuts for both quick exploration and production code.
- Comprehensive examples for line, scatter, bar, histogram, heatmap, contour, violin/box, and 3D surface/mesh plots, plus multi-panel layouts and GridSpec/mosaic arrangements.
- Styling, rcParams configuration, performance tips (rasterization, DPI), and export workflows for PNG/PDF/SVG to support papers, presentations, and notebooks.
- Use Case: prepare a multi-panel figure for a research paper that combines time series, statistical distributions, and a heatmap with consistent styling and export it as a high-resolution PDF.
Quick Start
Create a publication-quality PNG from your DataFrame using the object-oriented API, apply a clean style, and save the figure as figure.png.
Dependency Matrix
Required Modules
numpymatplotlibscipy
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: matplotlib Download link: https://github.com/Lin-Hi/DeepRead/archive/main.zip#matplotlib Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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