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How to plot a 3D patch collection in matplotlib?
To plot a 3D patch collection 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.
- Get the current axes and set projection as 3d.
- Iterate ["x", "y", "z"] list, and set the circle patch using pathpatch_2d_to_3d() method to convert a PathPatch to a PathPatch3D object.
- To display the figure, use show() method.
Example
import matplotlib.pyplot as plt from matplotlib.patches import Circle import mpl_toolkits.mplot3d.art3d as art3d plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True fig = plt.figure() ax = fig.gca(projection='3d') for i in ["x", "y", "z"]: cir = Circle((0.5, 0.5), 0.2, color='red') ax.add_patch(cir) art3d.pathpatch_2d_to_3d(cir, z=0, zdir=i) plt.show()
Output
Updated on: 03-Aug-2021
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