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How can the clipping of objects in matplotlib 3D be modified?

asked 2021-11-07 11:00:00 +0000

david gravatar image

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answered 2021-05-04 03:00:00 +0000

bukephalos gravatar image

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.

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Asked: 2021-11-07 11:00:00 +0000

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Last updated: May 04 '21