pycharmers.matplotlib.plot3d module

pycharmers.matplotlib.plot3d.stl2mpl_data(filename, ratio=1.0, seed=None)[source]

Create A collection of 3D polygons from STL file.

Note

When converting STL data to 3D Polygons, the number of data points becomes extremely large, so it is better to do sampling using the ratio parameter.

Parameters

  • filename (str) – The STL file to load

  • ratio (float/int) – Sampling percentage or the exact number of sampling data points.

  • seed (int) – Value to ensure sampling reproducibility

References

numpy-stl - PyPI

pycharmers.matplotlib.plot3d.plot_stl_file(filename, ax=None, ratio=1.0, seed=None, alpha=1, color=None)[source]

Plot STL data.

Note

When converting STL data to 3D Polygons, the number of data points becomes extremely large, so it is better to do sampling using the ratio parameter.

Parameters

  • filename (str) – The STL file to load

  • ax (Axes) – The 3D Axes instance.

  • ratio (float/int) – Sampling percentage or the exact number of sampling data points.

  • seed (int) – Value to ensure sampling reproducibility

  • alpha (float) – The alpha blending value, between 0 (transparent) and 1 (opaque).

  • color (str) – The edge color of the marker.

Examples

>>> from pycharmers.matplotlib import plot_stl_file, FigAxes_create, set_ax_info
>>> fig, ax = FigAxes_create(figsize=(8,8), projection="3d", nplots=1)[0]
>>> plot_stl_file("Scorpion.stl", ax=ax, ratio=.5, alpha=0.01, color="red")
>>> set_ax_info(ax, title="Scorpion")
>>> fig.savefig("Scorpion.png")

References

If you want to see the result of the Examples, see my tweet

Results
_images/matplotlib.plot3d.plot_stl_file.jpg