matplotlib-best-practices
CommunityMaster publication-ready Matplotlib visuals.
Data & Analytics#accessibility#python#plotting#matplotlib#data-visualization#color-palette#publication-quality
Authorerlebach
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Matplotlib visuals often suffer from inconsistent styling, unclear labels, and non-reproducible figures. This guide captures best practices to produce clear, accurate, and publication-ready plots across projects.
Core Features & Use Cases
- Guidelines for choosing color palettes that are accessible to color-blind viewers.
- Recommendations for the OO API vs pyplot for production-quality figures.
- Layout, labeling, and export practices to ensure figures are ready for publication and reports.
Quick Start
Start by refactoring your plotting code to use the OO API, apply a colorblind-friendly palette, and label axes with units to produce publication-ready figures.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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-best-practices Download link: https://github.com/erlebach/gordon/archive/main.zip#matplotlib-best-practices Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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