Matplotlib Visualization

Scientific visualization and publication-quality figures using Matplotlib and NumPy.

When to Use

• Static plots: line, scatter, bar, histogram, heatmap
• Publication-ready scientific figures
• Multi-panel (subplot) layouts
• Saving figures to PNG, SVG, or PDF
• Annotated or styled plots for presentations and papers

When NOT to Use

• Interactive dashboards (use Plotly or Dash)
• Web-based charts (use D3.js or Chart.js)
• Real-time streaming visualizations
• Geographic/map plots (use Cartopy or Folium)