Hi, I just sent an email with a typo. "Cell Data to Point Data" filter was correct.
2018年5月20日(日) 13:30 kenichiro yoshimi <[email protected]>: > Hi Aniruddha, > > I think the reason why the data looks discontinuous is that it is > defined as cell data. So the easiest way is to use "Point Data to Cell > Data" filter to convert from cell data to point data, which is using a > very basic straight averaging. > > Best Regards > > 2018-05-20 3:30 GMT+09:00 Aniruddha Panda <[email protected]>: > > I have a cartesian grid on two different codes, one uses the legacy > format > > to write the data in vtk format where the co-ordinates of equidistant > points > > in x y and z directions are used and the associated velocity (or any > other > > state variable) values are written. > > > > > > Whereas in the code which uses the unstructured dataset the each quadrant > > extents are written and the associated cell data is written. Later the > idea > > is to have adaptive mesh refinement on this. > > > > When I visualise both the files ( lets say for flow through a square > duct, > > pic attached ) I see a smooth representation that paraview automatically > > calculates for the mesh in case of vtk whereas it appears like a > > discontinuous data in case of vtu ( i assume vtu does lead to a > > discontinuous field) . May I know if there is a smoothing filter which > > allows me to interpolate the data onto an equidistant point cloud in all > > directions so as to have smooth profile in my postprocessing. > > > > Figure1. vtk flow through a square duct > > Figure2 vtu flow through a square duct > > Figure3 the velocity profile across the diagonal of the slice ( from vtk > ) > > Figure4 the velocity profile across the diagonal of the slice ( from vtu) > > > > --------------------------------- > > > > With thanks & regards > > > > Aniruddha > > > > > > _______________________________________________ > > Powered by www.kitware.com > > > > Visit other Kitware open-source projects at > > http://www.kitware.com/opensource/opensource.html > > > > Please keep messages on-topic and check the ParaView Wiki at: > > http://paraview.org/Wiki/ParaView > > > > Search the list archives at: http://markmail.org/search/?q=ParaView > > > > Follow this link to subscribe/unsubscribe: > > https://public.kitware.com/mailman/listinfo/paraview > > >
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