matplotlib

Matplotlib is Python's foundational visualization library for creating static, animated, and interactive plots. This skill provides guidance on using matplotlib effectively, covering both the pyplot interface (MATLAB-style) and the object-oriented API (Figure/Axes), along with best practices for creating publication-quality visualizations. This skill should be used when: Matplotlib uses a hierarchical structure of objects: 1. pyplot Interface (Implicit, MATLAB-style) 2. Object-Oriented Interface (Explicit) Single plot workflow: Creating subplot layouts: Line plots - Time series, continuous data, trends Scatter plots - Relationships between variables, correlations Bar charts - Categorical comparisons Histograms - Distributions Heatmaps - Matrix data, correlations Contour plots - 3D data on 2D plane Box plots - Statistical distributions Violin plots - Distribution densities For comprehensive plot type examples and variations, refer to references/plot_types.md . Color specification methods: Using style sheets: Customizing with rcParams: Text and annotations: For detailed styling options and colormap guidelines, see references/styling_guide.md . Export to various formats: Important parameters: This skill includes helper scripts in the scripts/ directory: Template script demonstrating various plot types with best practices. Use this as a starting point for creating new...