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Hi Matt,<br>
<br>
Yes, I've uploaded a tarball with a dataset and my preliminary
attempts to stitch it together (in an ipython notebook). It also
includes a graph showing the connectivity.<br>
<br>
Here's the file: <a class="moz-txt-link-freetext" href="http://use.yt/upload/d4218c8d">http://use.yt/upload/d4218c8d</a><br>
<br>
Thanks for your help!<br>
<br>
Best,<br>
Jonah<br>
<br>
<div class="moz-cite-prefix">On 15-08-30 04:11 PM, Matthew Turk
wrote:<br>
</div>
<blockquote
cite="mid:CALO3=5ELBGSuqoxkNTQDp4O374YChbgBTQDWJwx=LHBMaifKyg@mail.gmail.com"
type="cite">
<div dir="ltr">Hi Jonah,
<div><br>
</div>
<div>Sorry, I should have been more explicit. If we regard the
dataset as "AMR" where the "AMR" is all on the same level,
cells should be able to be overlapped. Can you provide an
example set of connectivity, even with fake values, that could
be experimented with?</div>
</div>
<div class="gmail_extra"><br>
<div class="gmail_quote">On Fri, Aug 21, 2015 at 10:47 PM, Jonah
Miller <span dir="ltr"><<a moz-do-not-send="true"
href="mailto: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">
<div bgcolor="#FFFFFF" text="#000000"> Hi Matt,<br>
<br>
The data can certainly be arranged so that there's either
full overlap or no overlap between the datasets. But I'm
not sure what you mean by dynamic/computed masking.<br>
<br>
Best,<br>
Jonah
<div>
<div class="h5"><br>
<br>
<div>On 15-08-21 10:59 PM, Matthew Turk wrote:<br>
</div>
<blockquote type="cite">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
moz-do-not-send="true"
href="mailto:jonah.maxwell.miller@gmail.com"
target="_blank"><a class="moz-txt-link-abbreviated" href="mailto:jonah.maxwell.miller@gmail.com">jonah.maxwell.miller@gmail.com</a></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
moz-do-not-send="true"><a class="moz-txt-link-abbreviated" href="mailto:jonah.maxwell.miller@gmail.com">jonah.maxwell.miller@gmail.com</a></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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