Hi,
Thank you for your reply.
No, the mistake is not there. In the meantime I did realize what is
exactly happening.
I have, say, 200 timesteps.
From 0 to 6, data obtained from my code matches the data when I just
use the GUI.
Starting in timestep 7 (always) till the end, data (for all timesteps)
is the data from the last timestep.
So, when in python shell I go to timestep 6, I see timestep 6. But when
I go to timestep 7, or 100, or 133, I see timestep 199. At the same
time, if I go to the GUI, everything is ok.
By coincidence, the ".case" time step data is organized in seven
columns. Is this related to the problem?
Thank you
Filipe Direito
On 03.07.2015 15:05, Cory Quammen wrote:
Hi Filipe,
Perhaps the array at index 7 is not the array you are expecting?
Could
you access the array by name instead, .e.g.,
dAxis.GetPointData().GetArray(variable_name).GetValue(150)
and see if that works better?
Thanks,
Cory
On Wed, Jul 1, 2015 at 1:44 PM, deq11009 <[email protected] [6]>
wrote:
Hi,
I am currently using Paraview 4.2, 64, in Windows. (but tried 4.3
and same problem happened)
My case is Ensight transient. Cylinder with 3.6 million cells,
two-phase flow.
I created a python code, which I run from the shell in the GUI.
The main parts of the code are:
enscase = EnSightReader(CaseFileName = direcp + ensfinal.case)
...
axis = Line()
...
rAxis = ResampleWithDataset(Input = enscase , Source = axis)
...
rAxis.SMProxy.UpdatePipeline(7) # enscase.SMProxy yields same
problem
rAxis.UpdatePipelineInformation()
dAxis = servermanager.Fetch(rAxis)
Now, for example:
print dAxis.GetPointData().GetArray(7).GetValue(150)
which gives me the value 150 of the phase array.
This data is wrong. On the other hand, if I go to the GUI Pipeline
and create a Spreadsheet, the values are the real ones (confirmed in
Fluent).
So, the fetched data in the python shell is, for some reason,
wrong.
What is my mistake?
Thanks
Filipe Direito
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