Greetings, I'm trying to use Matplotlib to plot 3d surfaces, with good results. While the plot are nice, there is little information on the website about customizing them. To get what I want, I used some tricks and hacks, and I am pretty sure that there are better ways to do it. Here is what I did, if you have any advice on how to do it better.
* The wireframe lines in the surface are thicker than I wanted. I couldn't find a way to configure their thickness. To get thinner lines, I made my plots huge (about 24 inches), and adjusted fonts accordingly. This is a very ugly (and unpredictable) hack. * I need gray images, so I used the gray colormap. This, however, gave me very dark and bright areas, and I wanted a little less variation. Since my functions always range from 0. to 1., I set vmin=-1 and vmax=2. I got the result I wanted, but I feel that there is a better way to do that. * The grids on the 'walls' and 'floor', on the other hand, are very bright, and I wanted them darker. Couldn't find a way to do that. * In some plots, I don't want ticks on some axis. Setting ticks to [] gave me no result, and there is no method for that in the z-axis. Setting ticklabels to [] also made no difference. Is there a way to remove the ticks or the labels in 3d plots? I figure out that there is probably ways to do all those by handling the corresponding Artists, or other object of the kind. But they are full of details, and I don't know exactly where to start. Any directions will be appreciated. I've been using matplotlib for years, and it is always helpful, and the plots are always beautiful. Thanks for the nice work. --- José Alexandre Nalon na...@terra.com.br ------------------------------------------------------------------------------ Benefiting from Server Virtualization: Beyond Initial Workload Consolidation -- Increasing the use of server virtualization is a top priority.Virtualization can reduce costs, simplify management, and improve application availability and disaster protection. Learn more about boosting the value of server virtualization. http://p.sf.net/sfu/vmware-sfdev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
