Matplotlib Chart Builder

A guide to creating publication-quality charts and data visualizations with Matplotlib's comprehensive plotting library.

Usage

Ask about chart types, customization, subplots, styling, or export options.

Examples

• "Create a multi-line chart with custom styling and legend"
• "How do I create a subplot grid with shared axes?"
• "Build an annotated scatter plot with trend line"

Guidelines

• Use the object-oriented API (fig, ax) over pyplot for complex plots
• Set figure size and DPI appropriate for the output medium
• Use consistent color palettes across related visualizations
• Add clear labels, titles, and legends for readability
• Export with tight_layout() to prevent label clipping