matplotlib▌

Foundational Python plotting library for creating static, animated, and interactive visualizations across scientific, statistical, and publication workflows. \n \n Supports two interfaces: pyplot (MATLAB-style, quick exploration) and object-oriented (recommended for production code with explicit Figure/Axes control) \n Covers 10+ plot types including line, scatter, bar, histogram, heatmap, contour, box, violin, and 3D plots with customizable colors, styles, labels, and legends \n Exports to PNG,

Expert guidelines for Matplotlib development, focusing on data visualization, plotting, and creating publication-quality figures.