Franco
You can probably generate a grid of cells using the Delaunay3D filter. (See
another thread on the topic in the last 24 hours). You will get a grid of
tetrahedra. Your field data (scalars or vectors) will remain attached to the
vertices. You can use the 'Point Data to Cell Data' filter
Well..."Group Dataset" is another beast. In your original message you said the
data was on the same mesh. It is not.
if you follow the ? under "Group Datasets" the Help menu will tell you "Groups
multiple datasets to create a multiblock dataset"
So you do not have a single mesh, but you now
Franco
you cannot slice or isosurface a dataset made of poly-vertices, because there
is no 3D cell.
your best bet would be to use the Point Interpolation filters (standard points
, or SPH points). However, these filters require at least one scalar array
attached to the points. Your data only
ParaView 5.5 Release Notes present a JSON-based reader for time series. I have
prepared a meta-data file for a series of *vtu files, I called it
name.vtu.series
but ParaView 5.5.1 does not present me with any choice of reader which would
accept it. Is there a compile option to enable, or what
Never, I'll answer my own question.
Must have been an operator error.
Selecting "All Files (*)" and simply double-clicking on the file name does the
job.
That is a great addition to ParaView. Well done!
Jean
___
Powered by www.kitware.com
ParaView
The indices of the points selected are in a field called "vtkOriginalPointIds".
It is a field with a special meaning and is hidden in some cases.
if you write the selected data to disk, it will show up as field
"vtkOriginalPointIds"
Consider the pvpython code below:
from paraview.simple
use the Edit->Find Data menu
Select Points or Cells.
Select the "from" object (your slice's name)
Select the variable name
Select "is max"
Click on "Run Selection Query"
-
Jean/CSCS
___
Powered by www.kitware.com
Visit other Kitware
