Hmm, I guess you could use the Delauney 2D or 3D to create an area or volume but it might be tough using those since they grids they create may not be a good representation of your data geometry. I can't think of anything better than a programmable filter to get the desired translation amounts and then do the translation in the filter as well (maybe using numpy or efficiency). You can save it as a custom filter so that you don't have to enter the python code every time you want to do the centering.<br>
<br>Andy<br><br><div class="gmail_quote">On Fri, Aug 6, 2010 at 11:21 AM, David Doria <span dir="ltr"><<a href="mailto:daviddoria@gmail.com">daviddoria@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin: 0pt 0pt 0pt 0.8ex; border-left: 1px solid rgb(204, 204, 204); padding-left: 1ex;">
> This seems weird. What kind of data set do you have? Is your data set<br>
> already centered then? I'd think there'd be some roundoff error so that it<br>
> wouldn't be exactly 0 but a "very small number". Do you have any<br>
> cells/what's the area result under the cell data?<br>
<br>
Sorry, I should have specified this earlier. The data is a point<br>
cloud. Each point has a vertex cell. The data set is far from<br>
centered. Maybe this is the problem - there is no "area"? Here is the<br>
data set: <a href="http://rpi.edu/%7Edoriad/Paraview_List/data.vtp" target="_blank">http://rpi.edu/~doriad/Paraview_List/data.vtp</a><br>
<br>
Thanks for your help,<br>
<font color="#888888"><br>
David<br>
</font></blockquote></div><br>