import micropipawait micropip.install("matplotlib")await micropip.install("numpy")import numpy as npimport matplotlib.pyplot as pltfrom mpl_toolkits.mplot3d import Axes3D# Create figurefig = plt.figure()ax = fig.add_subplot(111, projection='3d')# Define the plane: z = f(x, y)def plane(x, y): return x + y # Example linear plane# Define the region R in xy-plane (x, y bounds)x = np.linspace(0, 1, 100)y = np.linspace(0, 1, 100)x, y = np.meshgrid(x, y)# Mask or define the region (for simplicity, using a circular region here)R = np.sqrt(x**2 + y**2) <= 0.5 # Circular regionz = plane(x, y) * R # Apply mask to the plane# Plot the plane over the regionax.plot_surface(x, y, z, color='blue', alpha=0.6, rstride=100, cstride=100)# Projection of the region onto the xy-plane (the green region)ax.plot_surface(x, y, np.zeros_like(z), where=R, color='green', alpha=0.3)# Plot the vertical lines (from the xy-plane to the surface)ax.plot_wireframe(x, y, z, color='green', alpha=0.3)# Set axis labelsax.set_xlabel('X-axis')ax.set_ylabel('Y-axis')ax.set_zlabel('Z-axis')# Show plotplt.show()