Hi Jonah,<div><br></div><div>I've been thinking about this, and I wonder if it's possible to identify which sections overlap. Is there partial overlap between two given cells, or do cells either overlap or *not* overlap? If there's only full overlap in cells (i.e., a cell in one section totally overlaps with a cell in a different section) then I think we can do dynamic or computed masking and create a single unified dataset. Does that make sense?</div><div><br></div><div>-Matt<br><br>On Thursday, August 20, 2015, Jonah Miller <<a href="mailto:jonah.maxwell.miller@gmail.com">jonah.maxwell.miller@gmail.com</a>> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
<div text="#000000" bgcolor="#FFFFFF">
Hi Matt,<br>
<br>
Thanks for the reply. The datasets are a six patches coordinate
system. I've attached some images of the six data sets, and how they
should stitch together. From that, it would be nice to be able to do
analysis on them---i.e., make an arbitrary slice plot. <br>
<br>
It's straightforward to stitch <i>four of</i> the actual arrays
together and leave out the top and bottom patches. The problem is
getting all six to work together.<br>
<br>
Best,<br>
Jonah<br>
<br>
<div>On 15-08-20 09:21 AM, Matthew Turk
wrote:<br>
</div>
<blockquote type="cite">
<div dir="ltr">Hi Jonah,
<div><br>
</div>
<div>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?</div>
<div><br>
</div>
<div>-Matt</div>
</div>
<div class="gmail_extra"><br>
<div class="gmail_quote">On Wed, Aug 19, 2015 at 2:31 PM, Jonah
Miller <span dir="ltr"><<a href="javascript:_e(%7B%7D,'cvml','jonah.maxwell.miller@gmail.com');" target="_blank">jonah.maxwell.miller@gmail.com</a>></span>
wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Hi
Everyone,<br>
<br>
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?<br>
<br>
Thanks in advance for your help!<br>
<br>
Best,<br>
Jonah MIller<br>
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