Advanced Data Visualization

Advanced Matplotlib

Advanced matplotlib techniques enable sophisticated visualizations.

Subplots and Layouts

plt.subplots(2, 2) creates 2x2 grid. ax[i, j] accesses subplots. sharex, sharey links axes.

GridSpec enables complex layouts. fig.add_gridspec() defines grid. subplots with grid spec.

Styling

plt.style.use('seaborn') applies styles. Colors: 'C0', 'C1' for categorical. linestyle, marker options.

Spines, ticks, labels customize appearance. Grid lines with ax.grid().

Animations

FuncAnimation creates animated plots. update function called per frame. blit=True optimizes rendering.

Key Takeaways

1. Subplot grids organize multiple plots
2. Styles and colors enhance visual appeal
3. Animations visualize dynamic processes