To plot a transparent Poly3DCollection plot in Matplotlib, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots
- Create a new figure or activate an existing figure.
- Add an '~.axes.Axes' to the figure as part of a subplot arrangement with projection=3d.
- Create x, y and z data points.
- Make a list of vertices.
- Convert x, y and z data points into a zipped list of tuples.
- Get a list of instance of Poly3d.
- Add a 3D collection object to the plot using add_collection3d() method.
- Turn off the axes.
- To display the figure, use show() method.
Example
from matplotlib import pyplot as plt
from mpl_toolkits.mplot3d.art3d import Poly3DCollection, Line3DCollection
plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
x = [0, 2, 1, 1]
y = [0, 0, 1, 0]
z = [0, 0, 0, 1]
vertices = [[0, 1, 2], [0, 1, 3], [0, 2, 3], [1, 2, 3]]
tupleList = list(zip(x, y, z))
poly3d = [[tupleList[vertices[ix][iy]]
for iy in range(len(vertices[0]))]
for ix in range(len(vertices))]
ax.scatter(x, y, z)
ax.add_collection3d(Poly3DCollection(poly3d, facecolors='w', linewidths=1, alpha=0.5))
ax.add_collection3d(Line3DCollection(poly3d, colors='k', linewidths=2, linestyles='--'))
plt.axis('off')
plt.show()Output
