You have to get the leaf nodes of the multi-block dataset first. In this case, I suspect inputBlock will be a leaf block.
-berk On Thu, Apr 22, 2010 at 5:01 PM, Peter Brady <[email protected]> wrote: > The location we're looking at is the interface between two fluids so there > may be a discontinuity in the tangential derivatives for that reason. I'm > trying to write my own derivative and interpolation filters in a python > programmable filter which will take one-sided derivatives and use one-sided > interpolation. In order to do this I need to use cell data in my filter and > not point data to avoid the interpolation that takes place. Typically I > access point data with something like: > >> input = self.GetInputDataObject(0, 0) >> output = self.GetOutputDataObject(0) >> >> inputBlock = input.GetBlock(0) >> # copy old data >> output.CopyStructure(input) >> outputBlock = inputBlock.NewInstance() >> outputBlock.UnRegister(None) >> outputBlock.CopyStructure(inputBlock) >> output.SetBlock(0,outputBlock) >> >> # get number of points >> numPts = input.GetNumberOfPoints() >> # temperature gradient >> GtArr = input.GetPointData().GetVectors('ScalarGradient') > > However, there doesn't seem to be an equivalent 'GetNumberOfCells()' or > 'GetCellData()' for my multiblock data. How can I access the cell data? > > Thanks for your help, > > Peter. > > On Tue, Mar 30, 2010 at 10:15 AM, Berk Geveci <[email protected]> > wrote: >> >> I wonder if this is because of the multiple celldata -> point data >> conversions. Do you have an example dataset you can share? >> >> On Sun, Mar 28, 2010 at 1:45 AM, Peter Brady <[email protected]> >> wrote: >> > Hello list, >> > >> > I have a 3D dataset with a Temperature field. My goal is to insert a >> > sphere >> > source and determine the tangential temperature gradient on the surface >> > of >> > the sphere at various zenith angles. The data is output from the code >> > as >> > cell data. Here is the way I'm doing this (through pvpython) >> > >> > 1. Apply CellDataToPointData >> > 2. Apply ComputeDerivatives (to get the 'Scalar Gradient') >> > 3. Apply another CellDataToPointData (to turn the derivatives into >> > point >> > data) >> > 4. Resample the data from step 3 with my sphere source. >> > 5. Use a programmable filter to combine the xyz derivatives >> > appropriately. >> > >> > The data is reasonable but it's fairly choppy. When I look at dT/dx, >> > dT/dy, >> > and dT/dz (before I project them onto the sphere surface), and plot them >> > at >> > a particular zenith angle around the azimuth of the drop, dTdx and dTdy >> > are >> > very smooth but dT/dz is fairly choppy (especially above the equator of >> > the >> > drop). If I expand my sphere to a place where there's not a lot going >> > on >> > dT/dz seems to calm down. Is there a way to smooth dT/dz in the >> > location of >> > interest or should I try to write my own derivatives filter to make them >> > smoother? Any thoughts? >> > >> > Thanks, >> > Peter. >> > >> > _______________________________________________ >> > 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 >> > >> > Follow this link to subscribe/unsubscribe: >> > http://www.paraview.org/mailman/listinfo/paraview >> > >> > > > _______________________________________________ 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 Follow this link to subscribe/unsubscribe: http://www.paraview.org/mailman/listinfo/paraview
