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The clipping of objects in matplotlib 3D can be modified by tweaking the parameters in the Axes3D instance. The following parameters can be modified to manipulate the clipping of objects:

1. setxlim3d, setylim3d, set_zlim3d - these parameters set the limits of the viewing window in the x, y, and z directions.

2. setprojtype - this parameter sets the projection type. By default, it is set to ‘persp’ for perspective projection.

3. setboxaspect - this parameter sets the aspect ratio of the bounding box.

4. setboxaspect - this parameter sets the aspect ratio of the bounding box.

5. setclipbox and setclippath - these parameters determine how objects outside the viewing limits are clipped.

The following example demonstrates how to modify the clipping of objects in a matplotlib 3D plot:

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')

# Generate some data
x = np.linspace(-5, 5, 20)
y = np.linspace(-5, 5, 20)
X, Y = np.meshgrid(x, y)
Z = np.sin(np.sqrt(X**2 + Y**2))

# Plot the surface
ax.plot_surface(X, Y, Z)

# Modify the clipping parameters
ax.set_xlim3d([-10, 10])
ax.set_ylim3d([-10, 10])
ax.set_zlim3d([-2, 2])
ax.set_box_aspect([1,1,0.5])
ax.set_proj_type("ortho")
ax.set_clip_box(False)
ax.set_clip_path(None)

plt.show()

In this example, we generated a 3D plot of a sinusoidal surface and then modified the clipping parameters to change the viewing window, perspective, and aspect ratio of the plot. The resulting plot shows a flattened view of the surface with a zoomed-in perspective.