Creating Subplots

Subplots allow you to combine multiple visualizations in a single figure, enabling side-by-side comparisons and comprehensive dashboards.

Basic Subplot Grid

Single Row or Column

Shared Axes

Share x or y axes across subplots:

Figure-Level Title

Add a title above all subplots:

Iterating Over Subplots

Use .flat or .flatten() for easy iteration:

Subplots with Different Scales

Mixed Plot Types

Combine different chart types:

Removing Unused Subplots

Practice: Create a Dashboard

Key Takeaways

• plt.subplots(rows, cols) creates a grid of subplots
• Access individual axes with axes[row, col] indexing
• Use sharex=True or sharey=True for linked axes
• fig.suptitle() adds a title above all subplots
• Iterate easily with axes.flat
• Remove unused subplots with ax.axis('off')
• Combine different plot types in the same figure
• plt.tight_layout() prevents label overlap

In the next lesson, we'll explore complex subplot layouts with different sizes.