How can you apply a color map to a 3D surface plot in matplotlib to visually emphasize height differences?

hard📝 Application Q9 of 15

Matplotlib - 3D Plotting

AUse plt.colorbar() without specifying a colormap

BSet the 'color' parameter to a single color string

CUse the 'cmap' parameter in ax.plot_surface with a suitable colormap like 'viridis'

DApply a 2D scatter plot on top of the surface plot

Step-by-Step Solution

Solution:

Step 1: Understand color mapping
Color maps map scalar values (like height) to colors.
Step 2: Use cmap parameter
ax.plot_surface accepts a 'cmap' argument to apply color gradients based on Z values.
Step 3: Analyze options
Use the 'cmap' parameter in ax.plot_surface with a suitable colormap like 'viridis' correctly describes this. Set the 'color' parameter to a single color string sets a single color, not a gradient. Use plt.colorbar() without specifying a colormap is incomplete without cmap. Apply a 2D scatter plot on top of the surface plot is unrelated.
Final Answer:
A -> Option C
Quick Check:
Use 'cmap' in plot_surface to add color gradients [OK]

Quick Trick: Use 'cmap' parameter in plot_surface for color maps [OK]

Common Mistakes:

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