Hi again,

The pull request has been accepted.  You can do "yt update" and you should be all set.

Britton


On Mon, Mar 31, 2014 at 4:03 PM, Britton Smith <brittonsmith@gmail.com> wrote:
Hi Geoffrey,

The operation to combine profile and phase plot data after running in parallel was missing, so what you were seeing was the results from only one of the processors.  I have just filed a pull request to fix this.  Now, I get the same results independent of processor number.  Please. have a look at the PR here and test it out if you can.

Britton


On Mon, Mar 31, 2014 at 2:14 PM, Matthew Turk <matthewturk@gmail.com> wrote:
Hi Geoffrey,

Britton and I verified you are correct, there is a problem with the
ProfileND objects not conducting their parallel reduction operation.
A fix is forthcoming.

-Matt

On Mon, Mar 31, 2014 at 5:31 AM, Geoffrey So <gsiisg@gmail.com> wrote:
> The following script gives me different results in the 2d phase plot when I
> use multiple cores and switch the fieldc parameter.  The results are
> consistent if I only use a single core.  Some of the plots produced seems
> like it is missing data points or under-sampled, so I'm guessing maybe not
> all the data from all the cores were collected at the end.
>
> From
> G.S.
>
> #-----------------------------------------------------------------------------------
> from yt.mods import *
>
> i=2
> file = "RD%04i" % i
> fn = file+"/"+file
> pf=load(fn)
> dd=pf.h.all_data()
>
> fieldx='Density'
> fieldy='Temperature'
> fieldc='CellVolumeCode'
> #fieldc='CellVolume'
> #fieldc='CellMassMsun'
> #fieldc='CellMass'
> #fieldc='Ones'
>
> pplot = PhasePlot(dd, fieldx, fieldy, [fieldc],weight_field=None)
> pplot.save('example/'+file)
> #---------------------------------------------------------------------------------------
>
>
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>
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