[Solved] What will the following code output?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

What will the following code output?

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.arange(-5, 6, 5)
Y = np.arange(-5, 6, 5)
X, Y = np.meshgrid(X, Y)
Z = X**2 - Y**2
ax.plot_wireframe(X, Y, Z, rstride=1, cstride=1)
plt.show()

AA 3D wireframe plot showing a saddle shape

BA 2D line plot of X and Y

CA scatter plot of points

DAn error due to incorrect meshgrid usage

Step-by-Step Solution

Solution:

Step 1: Understand the meshgrid and function
X and Y create a grid from -5 to 5 with step 5, so points at -5, 0, 5. Z = X^2 - Y^2 forms a saddle shape.
Step 2: Analyze the plot_wireframe call
Using rstride=1 and cstride=1 plots all grid lines, producing a wireframe of the saddle surface.
Final Answer:
A 3D wireframe plot showing a saddle shape -> Option A
Quick Check:
Wireframe of Z = X^2 - Y^2 = saddle shape [OK]

Quick Trick: Z = X² - Y² creates a saddle; wireframe shows surface shape [OK]

Common Mistakes:

Thinking meshgrid creates error
Confusing wireframe with scatter or 2D plot
Ignoring the shape of Z function

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More Matplotlib Quizzes

What will the following code output?

Step 1: Understand the meshgrid and function

Step 2: Analyze the plot_wireframe call

Final Answer:

Quick Check:

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