[Solved] Which of the following code snippets correctly initializes a 3D scatter plot axis in matplotlib? — Ans: fig = plt.figure() ax = fig.add_subplot(111, projection='3d') | Matplotlib

Matplotlib - 3D Plotting

Which of the following code snippets correctly initializes a 3D scatter plot axis in matplotlib?

Afig = plt.figure() ax = fig.add_subplot(111)

Bfig = plt.figure() ax = fig.add_subplot(111, projection='3d')

Cax = plt.subplot(111, projection='3d')

Dfig = plt.figure() ax = fig.add_subplot(projection='3d')

Step-by-Step Solution

Solution:

Step 1: Create a figure object
Use plt.figure() to create a new figure.
Step 2: Add a 3D subplot
Use fig.add_subplot(111, projection='3d') to add a 3D axis to the figure.
Final Answer:
fig = plt.figure()\nax = fig.add_subplot(111, projection='3d') -> Option B
Quick Check:
Check for 'projection="3d"' in add_subplot call [OK]

Quick Trick: Always specify projection='3d' in add_subplot for 3D plots [OK]

Common Mistakes:

Master "3D Plotting" in Matplotlib

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Which of the following code snippets correctly initializes a 3D scatter plot axis in matplotlib?