Nicolas,
Thank you for the link to vispy. This looks like it will be much easier for me to wrap my mind around vispy than VTK...
Best regards,
Fabrice
···
"Nicolas P. Rougier" <Nicolas.Rougier@...3782...> wrote:
You might want to have a look at vispy.org, we implemented the wx backend and there are several examples available.
(and the new glumpy home is http://glumpy.github.io)vispy examples at http://vispy.org/gallery.html
Nicolas
On 01 Oct 2014, at 20:27, Fabrice C. <kappamonagare@...527...> wrote:
Dear Ben,
Thank you for the explanation. Too bad mplot3d cannot display textured polygons.
I did have a look at glumpy and it does part of what I am looking for. However, glumpy does not support being embedded in a wxpython application which is a requisite for me.I guess I just have to learn VTK...
Thanks again,
Fabrice
Benjamin Root <ben.root@...1304...> wrote:
I tried something like this awhile back to no avail. Because of the kludgy nature of mplot3d, we are lucky we even can display 2d artists like polygons (and, this is me speaking as the de facto maintainer of mplot3d!). Images are an entirely different beast, unfortunately.
What *might* work is getting a pcolormesh object converted into 3d. Not pcolor (as that is an image-based object), but the QuadMesh object that gets returned by pcolormesh(). I haven't tried to convert that into a 3d equivalent, but it might be feasible.
I would also check out glumpy: Google Code Archive - Long-term storage for Google Code Project Hosting.. I could have sworn I have seen examples of glumpy treating images as "texture" data for surfaces.
I hope this points you in a useful direction!
Ben RootOn Tue, Sep 30, 2014 at 5:54 PM, Fabrice C. <kappamonagare@...527...> wrote:
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
mplot3d example code: contourf3d_demo2.py — Matplotlib 1.4.0 documentation,
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
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