Lingyun, (CC'ing my response to the ParaView mailing list so that more eyes can view it.)
I'm not entirely sure what you want to do with your data. ParaView does not really have what most people consider matrix operations. It does, however, have many facilities for image data, which is basically just 1D, 2D, or 3D arrays of data. The easiest formats to store image data is either the legacy vtk format or the XML-based vti format. Both formats are described in The VTK User's Guide and in this document posted on the Wiki: http://www.paraview.org/Wiki/File:VTK-File-Formats.pdf -Ken **** Kenneth Moreland *** Sandia National Laboratories *********** *** *** *** email: kmo...@sandia.gov ** *** ** phone: (505) 844-8919 *** web: http://www.cs.unm.edu/~kmorel From: Lingyun Gu <l...@translucentanalytics.com<mailto:l...@translucentanalytics.com>> Date: Wed, 13 Apr 2011 22:03:20 -0700 To: Kenneth Moreland <kmo...@sandia.gov<mailto:kmo...@sandia.gov>> Subject: Hello from a big fan of Paraview Dear Kenneth, This is Lingyun Gu from Translucent Analytics. We are a small-size hedge fund focusing on using machine learning technologies to trade. We became big fans of using Paraview to visualize our high-dimension data. However, it seems Paraview only has table-to-point feature available if our data is just a simple n by m size matrix. Many fancy features we found in tutorial seems not available for our simple matrix data (or may not be suitable for the csv file format). Would you please let us know if there is any good data format we can use to better use the powerful features of Paraview or we can use some existing features in Paraview, which are still unknown to us to enhance our experience by still using csv data format? Thanks a lot for your help and I look forward to your reply! Best regards, Lingyun
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