[yt-users] stitching data sets together

[Matthew Turk]

Hi Jonah,

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?

On Fri, Aug 21, 2015 at 10:47 PM, Jonah Miller <
jonah.maxwell.miller at gmail.com> wrote:

> Hi Matt,
>
> 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.
>
> Best,
> Jonah
>
>
> On 15-08-21 10:59 PM, Matthew Turk wrote:
>
> Hi Jonah,
>
> 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?
>
> -Matt
>
> On Thursday, August 20, 2015, Jonah Miller <jonah.maxwell.miller at gmail.com>
> wrote:
>
>> Hi Matt,
>>
>> 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.
>>
>> It's straightforward to stitch *four of* the actual arrays together and
>> leave out the top and bottom patches. The problem is getting all six to
>> work together.
>>
>> Best,
>> Jonah
>>
>> On 15-08-20 09:21 AM, Matthew Turk wrote:
>>
>> 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 at 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
>>> _______________________________________________
>>> yt-users mailing list
>>> yt-users at lists.spacepope.org
>>> http://lists.spacepope.org/listinfo.cgi/yt-users-spacepope.org
>>>
>>
>>
>>
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