[yt-users] Plotting 1D data

[Nathan Goldbaum]

Hi Hao,

I have an open PR that should fix the issue you ran into:

https://bitbucket.org/yt_analysis/yt/pull-requests

Nathan


On Tuesday, August 19, 2014, Hao Wang <hwang.phy at gmail.com> wrote:

> Hi, Michael and Nathan,
>
> Thanks for your replies.
>
> @Michael: I tried your solution, but it didn't solve my problem. I updated
> to yt 3.1-dev which included the patch you mentioned. Might be due to the
> difference in the data?
>
> I just changed to yt 2.x branch which has no such problem and gives
> desired plots.
>
> (And sorry I did forget to mention that my data was from Enzo simulation,
> and I was using yt 3.0-stable then.)
>
> Hao
>
>
> On Wed, Aug 20, 2014 at 1:29 AM, Nathan Goldbaum <nathan12343 at gmail.com
> <javascript:_e(%7B%7D,'cvml','nathan12343 at gmail.com');>> wrote:
>
>> I'm able to reproduce this using an Enzo Sod Shock dataset I just
>> generated.  Thanks for the report!
>>
>> Next time you come across something like this please feel free to open an
>> issue on the bug tracker.  It also helps if you say which simulation code
>> you're working with and which yt version you're using.
>>
>> I've opened an issue on our bug tracker about this:
>> https://bitbucket.org/yt_analysis/yt/issue/883/1d-enzo-data-is-incorrectly-parsed
>>
>>
>> On Tue, Aug 19, 2014 at 1:39 AM, Hao Wang <hwang.phy at gmail.com
>> <javascript:_e(%7B%7D,'cvml','hwang.phy at gmail.com');>> wrote:
>>
>>> Hi all,
>>>
>>> I'm trying to plot the density profile of a 1D simulation, but can't
>>> find any instruction on how to do this.
>>>
>>> I tried ray=pf.h.ortho_ray(0,[ord1,ord2]) with several different ord1
>>> and ord2, including [0.5, 0.5]; while "ray['x']" returns an array of
>>> values, "ray[FieldName]" (where FieldName can be Density, TotalEnergy,
>>> GasEnergy, etc) returns nothing but "YTArray([],dtype=float 64)
>>> (dimensionless)".
>>>
>>> Using ortho_ray on the 2D simulation of the same problem gives correct
>>> answer. Also, the "all_data" and "sphere" object do not work for 1D (they
>>> work for 2D, too).
>>>
>>> Thanks,
>>>
>>> Hao
>>>
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>>>
>>
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>>
>
>
> --
> WANG Hao
>
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