![]() The next example generates a vector image (use with caution this simple example is 1.8 MB). In Paraview you can export to PDF, for example. ![]() It works ok for 2D cases, but in 3D I believe that there is need for raster images. I don't know why do you want vector graphics for your visualizations. In other words, if you had a new PhD student what would you push them towards for the best quality figures, and what would your workflow look like? Is it possible to do the same with paraview or visit compared to Tecplot? Paraview and visit I haven't used for anything nontrivial, and they seem to have a high barrier to entry.įor me, matplotlib takes a little more learning to get started, but after that you can produce excellent publication quality vector plots in the blink of an eye, far faster and better than in Matlab. It's also very easy to get up and running. Scripting in Tecplot is okay, and reproducing identical figures but with different data is pretty easy by recording macros and editing them. For 2D lineplots I prefer python/matplotlib for pgf graphics with great LaTeX operability, but python lacks flowfield visualization stuff. ![]() ![]() The vector graphics are okay, but not great, and it's not clear to me how to have the fonts be correctly generated raw by LaTeX. For those familiar with more of these tools than I am, what are the pros and cons of the various tools available? Right now I exclusively use Tecplot for CFD visualization, but it leaves a lot to be desired.
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