[yt-users] Projection

[Andrew James Emerick]

Hello Matias and Nathan,

I was able to reproduce this error on my own Enzo data set(s) using similar
code. I did a little more playing around and it looks like it only breaks
when having a weight_field. weight_field = None seems to be O.K. . It also
occurs for the "region" objects, in addition to the disk. Interestingly, as
Matias pointed out, doing something like this works:

region = ds.region([0.5,0.5,0.5], [0.0, 0.0, 0.0], [1.0, 1.0, 1.0])
proj=ds.proj('density',axis='z',weight_field='density',
data_source=region,method='integrate')

but this does not:

region = ds.region([0.5,0.5,0.5], [0.1,0.1,0.1], [0.9,0.9,0.9] )
proj =ds.proj('density',axis='z',weight_field='density',
data_source=region,method='integrate')

In short, this indeed appears to be a bug, and possibly not specific to a
single dataset.




Andrew


On Tue, Nov 14, 2017 at 12:40 PM, Nathan Goldbaum <nathan12343 at gmail.com>
wrote:

> This sounds like a bug. I don't think you should ever get back NaNs from a
> projection operation.
>
> Is there any chance you can share the dataset that's triggering this
> behavior?
>
> On Tue, Nov 14, 2017 at 11:34 AM, Matias Enrique Suazo Campos <
> matias.suazo at ug.uchile.cl> wrote:
>
>> Dear YT users,
>>
>> I'm trying to make a density projection, in the following lines I show
>> you the lines that I have.
>>
>> #Ramses output
>> ds = yt.load(path+"output_%05d"%snap+"/info_%05d.txt" %snap)
>> disk = ds.disk('max',[0,0,1],(20,'pc'),(5,'pc'))
>> proj=ds.proj('density',axis='z',weight_field='density',data_
>> source=disk,method='integrate')
>>
>> However when I print proj["density"] I get a list of nan, however when I
>> use the whole domain as my data_source I get reasonable numbers.
>>
>> Thanks,
>> Matías Suazo
>> MSc student at Universidad de Chile
>>
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-- 
NSF Graduate Fellow
Columbia University
Department of Astronomy
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