ValueError: VTKVolume pane does not support objects of type 'vtkVolume'

Panel
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1

HI,

I’m tyring to construct Panel from a PyVista volume. I’m using a bokeh server.

I read the documentation : VTKVolume — Panel v1.3.5 .
And it says :

The VTKVolume pane renders 3d volumetric data defined on regular grids. It may be constructed from a 3D NumPy array or a vtkVolume .

Which is exalty what I’m trying to do. Here is how I do it :slight_smile:

plotter = pv.Plotter()
vol = plotter.add_volume(vol_datas)
vtkpan = pn.pane.VTKVolume(vol, sizing_mode='stretch_both', orientation_widget=True)
row = pn.Row(vtkpan.controls(jslink=True), vtkpan)

And this gives me an error ValueError: VTKVolume pane does not support objects of type 'vtkVolume'.

Few additionals information :

  • I do not have this problem if I use add_mesh from PyVista (but obviously the rendering will not be the same).
  • If I call plotter.show() I have the correct volume displayed.

How can I display add_volume from PyVista in a Panel?

2

Hello, actually there is an error in the documentation, VTKVolume pane can be construct from 3D numpy array or vtkImageData, not vtkVolume.
However I think we should support it so an issue on the tracker would be welcome

Thx

3

else you can use this workaround

vtkpan = pn.pane.VTKVolume(vol.GetMapper().GetInputDataObject(0,0), sizing_mode='stretch_both', orientation_widget=True)

but in this case you could pass directly you vol_datas object to the VTKVolume panel

4

Thank you for your answer.

Currently this is what I do as a workaround
vtkpan = pn.pane.VTKVolume(vol_datas) but the displayed result isn’t identical as what I see on PyVista that’s why I was hoping I could have the same results.

5

Don’t expect to have same results as pyvista using VTKVolume.
To have closest results as pyvista you have to use pn.panel(plotter.ren_win) but you will loose al fonctionnalities of VTKVolume pane (slice, opacity controller…)

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6

Don’t expect to have same results as pyvista using VTKVolume.
To have closest results as pyvista you have to use pn.panel(plotter.ren_win)

Thanks for your input ! I’ll try that