Hi,
Sorry for all of these left-field questions. We are trying to develop some custom functionality for a spectroscopy program…
Given a 3d surface plot, matplotlib makes it easy to add contours along the projections of the plot.
http://matplotlib.org/1.3.1/mpl_toolkits/mplot3d/tutorial.html#d-plots-in-3d
We were wondering if it was possible to add other things to the projections instead of contours? For example, imagine I have a standard x vs. y plot already created in a separate Axes object. Would it be possible to transfer the data from the x vs. y plot directly onto the projection of the 3d plot? We’ve found that sometimes it’s useful to put projections on our 3d plots that aren’t necessarily reflecting the 3d-dataset per-se. It would be nice if a user could generate plots 2d plots separately, and add them as projections later.
I know this is a pretty special use case, so if nothing obvious comes to mind, no problem.
Thanks
Not at this time, no. There are two reasons for this. First, an Artist object can only be attached to a single Axes object at any given time. Right now, it isn’t really possible to “transfer” an Artist from one Axes to another (not impossible, but it certainly isn’t a built-in mechanism). The other problem is in the design of mplot3d. It almost completely bypasses the transforms system and uses duck-punching (trademark pending…) to get things working.
I have a private branch at home where I am working on augmenting the transforms system to accept 3d projections and simple 3d transforms, but I haven’t managed to get it working and I haven’t any time for the next few months to work on it any further. The hope is that once I have that in place, I can reimplement mplot3d to use first-class Artists and Axes without any duck-punching. The removal of duck-punching would make what you want to do more possible (not easy, but feasible). But that is probably not for another year unfortunately.
My suggestion is to simply extract the relevant data from each artist and create brand new artists on the fly in the 3d axes instead. Depending on the complexity of the plot, it might require some tree-traversal, but if you already have a list of all of the relevant plot elements, then that should be fairly simple.
I hope this helps. Sorry for the negatory on simple transfers.
Cheers!
Ben Root
···
On Wed, Sep 24, 2014 at 12:59 PM, Adam Hughes <hughesadam87@…287…> wrote:
Hi,
Sorry for all of these left-field questions. We are trying to develop some custom functionality for a spectroscopy program…
Given a 3d surface plot, matplotlib makes it easy to add contours along the projections of the plot.
http://matplotlib.org/1.3.1/mpl_toolkits/mplot3d/tutorial.html#d-plots-in-3d
We were wondering if it was possible to add other things to the projections instead of contours? For example, imagine I have a standard x vs. y plot already created in a separate Axes object. Would it be possible to transfer the data from the x vs. y plot directly onto the projection of the 3d plot? We’ve found that sometimes it’s useful to put projections on our 3d plots that aren’t necessarily reflecting the 3d-dataset per-se. It would be nice if a user could generate plots 2d plots separately, and add them as projections later.
I know this is a pretty special use case, so if nothing obvious comes to mind, no problem.
Thanks
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