Question

You want to plot a 3D surface of the function z = sin(sqrt(x² + y²)) over the range -6 to 6 for both x and y. Which code snippet correctly prepares the data for ax.plot_surface?

Accepted Answer

import numpy as np
x = np.linspace(-6, 6, 50)
y = np.linspace(-6, 6, 50)
X, Y = np.meshgrid(x, y)
Z = np.sin(np.sqrt(X**2 + Y**2))

Answer

import numpy as np
x = np.linspace(-6, 6, 50)
y = np.linspace(-6, 6, 50)
X, Y = np.meshgrid(x, y)
Z = np.sin(np.sqrt(x + y))

Answer

import numpy as np
x = np.arange(-6, 6, 0.1)
y = np.arange(-6, 6, 0.1)
Z = np.sin(np.sqrt(x**2 + y**2))

Answer

import numpy as np
x = np.linspace(-6, 6, 50)
y = np.linspace(-6, 6, 50)
Z = np.sin(np.sqrt(x**2 + y**2))

You want to plot a 3D surface of the function z = sin(sqrt(x² + y²)) over the range -6 to 6 for both x and y. Which code snippet correctly prepares the data for ax.plot_surface?

Step 1: Create grid arrays X and Y

Step 2: Calculate Z using the function on X and Y

Final Answer:

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