Question: Answer based on the code above: import numpy as np import matplotlib.pyplot as plt from mpl _ toolkits.mplot 3 d import Axes 3 D #

Answer based on the code above:
import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D # Define the function f(x) that models the vase's profile def vase_profile(x): # Example: a quadratic profile with a flared top return 1+0.5* x**2 # f(x)=1+0.5x^2 # Set up the range of x (e.g., height of the vase, in cm) x = np.linspace(-2,2,500) # x ranges from -2 cm to 2 cm y = vase_profile(x) # Plot the 2D profile of the vase plt.figure(figsize=(6,6)) plt.plot(x, y, label='Vase Profile (f(x))', color='blue') plt.title("2D Profile of the Vase") plt.xlabel("Radius (cm)") plt.ylabel("Height (cm)") plt.axhline(0, color='black', linewidth=0.5) plt.axvline(0, color='black', linewidth=0.5) plt.legend() plt.grid() plt.show() # Generate the solid of revolution X = np.linspace(-2,2,500) Y = vase_profile(X) theta = np.linspace(0,2* np.pi,500) # Revolve around y-axis X, Theta = np.meshgrid(X, theta) Y = vase_profile(X) Z = X * np.cos(Theta) R = X * np.sin(Theta) # 3D plot of the solid of revolution fig = plt.figure(figsize=(10,8)) ax = fig.add_subplot(111, projection='3d') ax.plot_surface(Z, R, Y, cmap='viridis', edgecolor='k', alpha=0.8) ax.set_title("Solid of Revolution of the Vase") ax.set_xlabel("X (cm)") ax.set_ylabel("Z (cm)") ax.set_zlabel("Height (cm)") plt.show()
(e) Use either of the frameworks developed above to find an estimate for the volume
of your object. Discuss the method that you used, justifying your choice.
(f) Create a visualization of your chosen method.
(g) Estimate the total volume of your object and compare your measurement with
your integral calculations. Discuss any discrepancies between the two.
Answer based on the code above: import numpy as

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