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GordonGu1998 avatar GordonGu1998 commented on August 23, 2024 1

Thanks for your advice, Mike! 'open_gui( )' is a feasible way to identify the IDs of the surfaces. But it still will be more convenient to see IDs of surfaces directly. I am very looking forward to seeing this issue fixed.

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mikerife avatar mikerife commented on August 23, 2024

Hi @GordonGu1998
I see same issue using Python 3.10 and MAPDL 23R2. Very similar issues have been reported in an earlier Issue here: #3120

Mike

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GordonGu1998 avatar GordonGu1998 commented on August 23, 2024

I have also noticed that 'show_line_numbering' and 'show_volume_numbering' are also not working in the plotting function 'vplot' when 'vtk = True'. However, in the plotting function 'aplot', both 'show_line_numbering' and 'show_volume_numbering' work well.
I am quite surprised that no one has report this issue before and all the area IDs used in the pymapdl examples seem coming from nowhere. How do engineers apply boundary conditions and loads to the surfaces if they can't see which area ID is correspondent to the surface?

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mikerife avatar mikerife commented on August 23, 2024

@GordonGu1998
Usually by selecting the entities by some criteria. Like picker location (centroid for area) or capturing the entiry ID similarly to how you did.
Don't get me wrong - the plotting needs to get fixed asap.

Oh, and there is also the open_gui() option to open the model in MAPDL interactive and inspect the model.
mike

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germa89 avatar germa89 commented on August 23, 2024

show_volume_numbering is not even implemented, althought it is an argument. That will require a PR itself.

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germa89 avatar germa89 commented on August 23, 2024

the issue with this is that the vplot extract the meshes from each area plot, but it does leave the labels (points) behind.

This is going to require a bit more of thinking... we could extract the labels sure... But maybe we should just reuse the same plotter.

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GordonGu1998 avatar GordonGu1998 commented on August 23, 2024

Thanks for your reply. But in my project, it will be much easier to identify the nodes by the face index than the location. This project has successfully been implemented on MATLAB before, and MATLAB offers face labels in its PDE toolbox.

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