You want a dashboard with one large plot on the left and two smaller stacked plots on the right. Which GridSpec layout code achieves this?

hard📝 Scenario Q8 of 15

Matplotlib - Real-World Visualization Patterns

You want a dashboard with one large plot on the left and two smaller stacked plots on the right. Which GridSpec layout code achieves this?

Ags = fig.add_gridspec(2, 2) ax1 = fig.add_subplot(gs[:, 0]) ax2 = fig.add_subplot(gs[0, 1]) ax3 = fig.add_subplot(gs[1, 1])

Bgs = fig.add_gridspec(3, 1) ax1 = fig.add_subplot(gs[0, :]) ax2 = fig.add_subplot(gs[1, :]) ax3 = fig.add_subplot(gs[2, :])

Cgs = fig.add_gridspec(1, 3) ax1 = fig.add_subplot(gs[0, 0]) ax2 = fig.add_subplot(gs[0, 1]) ax3 = fig.add_subplot(gs[0, 2])

Dgs = fig.add_gridspec(2, 2) ax1 = fig.add_subplot(gs[0, :]) ax2 = fig.add_subplot(gs[1, :]) ax3 = fig.add_subplot(gs[:, 1])

Step-by-Step Solution

Solution:

Step 1: Understand desired layout
One large plot on left (all rows, first column), two smaller stacked plots on right (top and bottom rows, second column).
Step 2: Analyze options
gs = fig.add_gridspec(2, 2) ax1 = fig.add_subplot(gs[:, 0]) ax2 = fig.add_subplot(gs[0, 1]) ax3 = fig.add_subplot(gs[1, 1]) uses gs[:, 0] for large left plot and splits right column into two rows for smaller plots, matching requirement.
Final Answer:
gs = fig.add_gridspec(2, 2) ax1 = fig.add_subplot(gs[:, 0]) ax2 = fig.add_subplot(gs[0, 1]) ax3 = fig.add_subplot(gs[1, 1]) -> Option A
Quick Check:
GridSpec slices for complex layout = A [OK]

Quick Trick: Use slice ':' to span rows or columns in GridSpec [OK]

Common Mistakes:

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