Solution:Step 1: Understand plt.tight_layout()This function automatically adjusts spacing between subplots to avoid label and title overlap.Step 2: Check other optionsIt does not change plot types, remove labels, or resize figure to default.Final Answer:Adjusts subplot spacing to prevent overlap ->

[Solved] Given this code:fig, axs = plt.subplots(2, 2) axs[0, 1].plot([1, 2, 3], [4, 5, 6]) axs[1, 0].bar([1, 2], [3, 4]) plt.tight_layout()What is the effect of plt.tight_layout() here? | Matplotlib

Matplotlib - Real-World Visualization Patterns

Given this code:

fig, axs = plt.subplots(2, 2)
axs[0, 1].plot([1, 2, 3], [4, 5, 6])
axs[1, 0].bar([1, 2], [3, 4])
plt.tight_layout()

What is the effect of plt.tight_layout() here?

AChanges all plots to line plots

BAdjusts subplot spacing to prevent overlap

CRemoves axis labels

DResizes figure to default size

Step-by-Step Solution

Solution:

Step 1: Understand plt.tight_layout()
This function automatically adjusts spacing between subplots to avoid label and title overlap.
Step 2: Check other options
It does not change plot types, remove labels, or resize figure to default.
Final Answer:
Adjusts subplot spacing to prevent overlap -> Option B
Quick Check:
tight_layout adjusts spacing = A [OK]

Quick Trick: Use tight_layout() to fix subplot overlaps [OK]

Common Mistakes:

Thinking it changes plot types
Expecting it removes labels
Assuming it resets figure size

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More Matplotlib Quizzes

Given this code:

Step 1: Understand `plt.tight_layout()`

Step 2: Check other options

Final Answer:

Quick Check:

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