Hi Jonah,

Right now, I think this would be tricky. I'm trying to figure out precisely how it could be done without compositing the datasets themselves, and I'm not sure it's terribly feasible at the time being without some trickery. One possibility, since the data is spherical, is to get fixed res buffers for each section of the plot you want, then utilize matplotlib to stitch those together into a single plot. It might help if you had a little sketch so that your desired outcome could be a bit more visual?

-Matt

On Wed, Aug 19, 2015 at 2:31 PM, Jonah Miller <jonah.maxwell.miller@gmail.com> wrote:

Hi Everyone,

I have data for a simulation in spherical coordinates that I wish to input into yt and visualize using the generic reader tools. However, the simulation is broken up into six volumes, each of which is a solid angle that makes up part of a sphere. Unfortunately, stitching together the arrays of data produces a lot of redundancies, there's no easy way to include all of it in a single array without including the same data points several times. So what I'd like is a way to feed in each solid angle as an individual data set, but visualize all six datasets on a single plot. Is this possible?

Thanks in advance for your help!

Best,
Jonah MIller
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