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<div style="direction: ltr;font-family: Tahoma;color: #000000;font-size: 10pt;">>>
<span lang="EN-US">I would like to get an average over an entire cut plane (over time).
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<p class="MsoNormal"><span lang="EN-US"> </span></p>
<span style="font-size:10.0pt; font-family:"Tahoma","sans-serif"; color:black" lang="EN-US">David</span>
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<p class="MsoNormal"><span lang="EN-US">This sounds like a perfect case for a Python Programmable Filter, looping over timesteps, accumulating data, doing the average, and setting it as a new field. Here is a script I have tested on a single block of data with
multiple timesteps.</span></p>
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<p class="MsoNormal"><span lang="EN-US">There is an init phase, to get the number of timesteps, their values (from upstream), and the first dataset at the 0-th timestep.</span></p>
<p class="MsoNormal"><span lang="EN-US">There is an accumulate phase, where the filter pulls all timesteps, adding to the already existing numpy array.</span></p>
<p class="MsoNormal"><span lang="EN-US">There is a finish phase, where we do the average and assign it to a new field.</span></p>
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<p class="MsoNormal"><span lang="EN-US">I am doing it for Pressure, you'll have to adapt it to your fieldnames and block structures.</span><br>
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<div class="PlainText">-----------------<br>
Jean M. Favre<br>
Swiss National Supercomputing Center<br>
CH-6900 Lugano<br>
Switzerland</div>
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