Matplotlib - 3D Plotting
You want to create a 3D scatter plot and set the view so the plot looks rotated 45 degrees horizontally and tilted 30 degrees vertically. Which code snippet correctly achieves this and also labels the axes?
Which code snippet correctly achieves this and also labels the axes?
hard📝 Application Q15 of 15
Step-by-Step Solution
Solution:
Step 1: Check subplot creation for 3D
Only options A, C, and D useprojection='3d', which is required for 3D plots.Step 2: Verify view_init parameters
The question wants elevation 30 and azimuth 45, soax.view_init(30, 45)is correct. fig = plt.figure() ax = fig.add_subplot(111, projection='3d') ax.scatter([1,2,3], [4,5,6], [7,8,9]) ax.view_init(30, 45) ax.set_xlabel('X axis') ax.set_ylabel('Y axis') ax.set_zlabel('Z axis') plt.show() matches this.Step 3: Confirm axis labels are set
fig = plt.figure() ax = fig.add_subplot(111, projection='3d') ax.scatter([1,2,3], [4,5,6], [7,8,9]) ax.view_init(30, 45) ax.set_xlabel('X axis') ax.set_ylabel('Y axis') ax.set_zlabel('Z axis') plt.show() sets all three axis labels correctly withset_xlabel,set_ylabel, andset_zlabel.Final Answer:
Option A correctly sets view angles and labels axes. -> Option AQuick Check:
3D plot + view_init(30,45) + axis labels = fig = plt.figure() ax = fig.add_subplot(111, projection='3d') ax.scatter([1,2,3], [4,5,6], [7,8,9]) ax.view_init(30, 45) ax.set_xlabel('X axis') ax.set_ylabel('Y axis') ax.set_zlabel('Z axis') plt.show() [OK]
Quick Trick: Use projection='3d', view_init(30,45), then label axes [OK]
Common Mistakes:
- Missing projection='3d' for 3D plots
- Swapping elev and azim values
- Not labeling all three axes
Master "3D Plotting" in Matplotlib
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