28. Spacing & Margin Control (tight_layout & subplots_adjust)

Subplot titles, X-labels, and Y-labels often collide and overlap if padding is unconfigured. `tight_layout()` and `subplots_adjust()` automatically compute clean margins.

Mental Model Intuition

Adjusting CSS padding and margin properties between grid items.

Core Concepts & Mechanics

`plt.tight_layout(pad=...)`Auto Padding

Automatically adjusts subplot parameters so that labels and titles fit comfortably within figure boundaries.

Call `plt.tight_layout()` on almost every multi-panel figure you create.

plt.tight_layout(pad=1.5)

Manual Control via `plt.subplots_adjust()`Manual Spacing

`subplots_adjust(left=0.1, right=0.9, bottom=0.1, top=0.9, wspace=0.3, hspace=0.4)`.

`wspace` controls horizontal gap width; `hspace` controls vertical gap height.

plt.subplots_adjust(hspace=0.4, wspace=0.3)

Common Beginner Mistakes & Pro Fixes

Avoid the top errors and bad plotting practices that trip up new Python developers

Troubleshooting

Quick Lesson Takeaways

`plt.tight_layout()` eliminates overlapping text automatically.
`plt.subplots_adjust(wspace=..., hspace=...)` offers fine-grained manual gap spacing.
Always apply padding before `plt.show()`.

Topic 28 • Python IDE

Python 3.12 • Matplotlib

Presets:

Ctrl + Enter to run

Run Python code to inspect terminal output.

Real-World Datasets (1-Click Switcher)

Switch from abstract numbers to relatable Cricket, Cinema & Business charts

5 Curated Datasets

Hands-on Challenge: Apply tight_layout

+50 XP

Write Matplotlib code to solve the objective and see your live plot render

Objective Instructions:

Create 2 subplots vertically and call `plt.tight_layout()` with title 'Clean Layout'.

Required Keywords:✓ tight_layout

Challenge Code Editor

Challenge Output GraphLive Vector Preview

Write code on the left to render live challenge plot

End of Lesson Knowledge Check

Quick Mini Quiz: 2 Concept Questions

Test your understanding to unlock the lesson completion badge

Which Matplotlib function is used to create a standard continuous 2D line plot?

What must you call after specifying label='...' so that the legend actually appears on the canvas?

0 of 2 answered

Figure Sizing, DPI & Aspect Ratios

Next Lesson

Constrained Layout Engine