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From: Fabrice C. <kap...@ya...> - 2014-09-30 22:14:35
|
Dear list, I would like to display a 2D image in a mplot3d axe in order to combine it with a surface3D or a bar3d plot for instance. The effect I am looking for is similar to what can be seen in the bottom XY plane of http://matplotlib.org/1.4.0/examples/mplot3d/contourf3d_demo2.html, except that I would like to have a custom image instead of the filled contours. I googled the subject and found only messages dating at best from 2010. These messages mentioned that the imshow() method did not work on a mplot3d. Indeed it does not. The only alternatives offered by the googled answer to my problem were to switch to VTK or Mayavi. For one thing, I never managed to install VTK on my PC, and I already have other matplotlib figures in my wxpython application so I would really like to stick to matplotlib. Does anyone have pointers as to how I could display a 2D image in mplot3d? Do I need to create a new artist in order to replace the non-functionning imshow? I see that patch collections work fine in mplot3D. Would it be feasible to load an image and have it displayed as a patch collection (1 patch for each pixel)? Any advice would be highly appreciated, Fabrice --- This email is free from viruses and malware because avast! Antivirus protection is active. http://www.avast.com |
|
From: Eric F. <ef...@ha...> - 2014-09-30 18:44:54
|
On 2014/09/30, 2:41 AM, Jesper Larsen wrote: > Hi matplotlib users, > > Is it possible to disable antialiasing for a colorbar? If not directly > is it the possible to "postprocess" the axes instance to se antialiasing > for relevant elements? The colorbar returns a Colorbar object, the "solids" attribute of which is a Quadmesh; so you should be able to execute cbar.solids.set_antialiased(False) to turn off antialiasing. With a bit of testing, however, I am not seeing any difference, so I'm not sure what is going on, and I don't have time now to investigate. Eric > > The reason I am asking is because I would like to produce a paletted png > (using PIL) of the colorbar without the risk of removing any important > colors in the process (in essence the output from matplotlib needs to > have less than 256 colors for this to work). > > Best regards, > Jesper > > > ------------------------------------------------------------------------------ > Meet PCI DSS 3.0 Compliance Requirements with EventLog Analyzer > Achieve PCI DSS 3.0 Compliant Status with Out-of-the-box PCI DSS Reports > Are you Audit-Ready for PCI DSS 3.0 Compliance? Download White paper > Comply to PCI DSS 3.0 Requirement 10 and 11.5 with EventLog Analyzer > http://pubads.g.doubleclick.net/gampad/clk?id=154622311&iu=/4140/ostg.clktrk > > > > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > |
|
From: Jesper L. <jes...@gm...> - 2014-09-30 12:42:00
|
Hi matplotlib users, Is it possible to disable antialiasing for a colorbar? If not directly is it the possible to "postprocess" the axes instance to se antialiasing for relevant elements? The reason I am asking is because I would like to produce a paletted png (using PIL) of the colorbar without the risk of removing any important colors in the process (in essence the output from matplotlib needs to have less than 256 colors for this to work). Best regards, Jesper |