Download
The Brand new cheatsheets and handouts repo is a compact, quick-reference summary of the most commonly used plotting commands and configurations in Matplotlib, intended to serve as a handy reference for experienced users who want to recall syntax or find the right function without digging into full documentation. It lays out common use cases (plot types, styling, figure configuration, saving/exporting, subplot layout, etc.) in a concise and organized format — often serving as a “cheat sheet” for rapid look-up. For practitioners working on data-heavy projects, dashboards, or research code where plotting is frequent, it helps speed up development by reducing context-switching and documentation navigation overhead. It is especially useful when you know roughly what you want (e.g. “I need a scatter + histogram marginal plot”) but don’t remember the exact Matplotlib call.
Features
- Concise, well-organized reference of common Matplotlib plotting commands and configurations
- Covers various plot types (lines, scatter, bar, histograms, subplots, figure layout, export) in a compact format
- Quick lookup for styling, labels, legends, figure size, axis control, saving/exporting figures
- Helps enforce consistent plotting style and conventions across projects or teams
- Lightweight and easy to print or view — ideal as a quick-reference “cheat sheet” rather than full docs
- Version-controlled snapshot — useful for reproducibility and sharing across collaborators
Project Samples
