matplotlib

Overview

Matplotlib is Python's foundational visualization library for creating static, animated, and interactive plots. It provides both a MATLAB-style pyplot interface and an object-oriented API for full control over figures, axes, and artists. Essential for generating publication-quality scientific figures.

When to Use

• Creating publication-quality plots with precise control over every element (fonts, ticks, colors, spacing)
• Building multi-panel figures with complex subplot layouts for papers
• Generating standard scientific plot types: line, scatter, bar, histogram, heatmap, box, violin, contour
• Exporting figures to vector formats (PDF, SVG) for journal submission
• Creating 3D surface, scatter, or wireframe plots
• Customizing colormaps and color schemes for accessibility (colorblind-friendly)
• Integrating plots with NumPy arrays and pandas DataFrames
• For quick statistical visualizations (distributions, regressions), use seaborn instead
• For interactive/web-based plots with hover and zoom, use plotly instead

Prerequisites