[Solved] Identify the error in this code snippet:import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D fig = plt.figure() ax = fig.add_subplot(111, projection='3d') X = np.... | Matplotlib

Matplotlib - 3D Plotting

Identify the error in this code snippet:

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
X = np.linspace(-2, 2, 10)
Y = np.linspace(-2, 2, 10)
Z = X**2 + Y**2
ax.plot_wireframe(X, Y, Z)
plt.show()

AZ is not a 2D array matching the shape of meshgrid X and Y

BMissing import for Axes3D

CIncorrect projection argument in add_subplot

Dplt.show() is missing

Step-by-Step Solution

Solution:

Step 1: Check array shapes
X and Y are 1D arrays; Z is computed element-wise but is also 1D.
Step 2: plot_wireframe requires 2D arrays
Must create meshgrid for X and Y, then compute Z on that grid.
Step 3: Error cause
Passing 1D arrays causes shape mismatch error.
Final Answer:
Z is not a 2D array matching the shape of meshgrid X and Y -> Option A
Quick Check:
plot_wireframe needs 2D meshgrid arrays [OK]

Quick Trick: Use meshgrid to create 2D arrays for wireframe plots [OK]

Common Mistakes:

Using 1D arrays directly without meshgrid
Ignoring shape mismatch errors
Assuming plt.show() omission causes error

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More Matplotlib Quizzes

Identify the error in this code snippet:

Step 1: Check array shapes

Step 2: plot_wireframe requires 2D arrays

Step 3: Error cause

Final Answer:

Quick Check:

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