<div dir="ltr"><div><div>Hi Ken,<br><br></div>You can apply the Delauny2D to whatever sources and/or filters you want and then use that output to be included in the Group Datasets filter. <br><br></div>As for scaling, the two options that are typically used which scale in the cartesian coordinate directions. The first is just through the filter's view you can edit the Scale values under Transforming. The second is using the Transform filter. If the scaling isn't axis-aligned you can try the Calculator filter with Coordinate Results checked to tell it to use the result array as the point coordinates array. In order for it to work for a single input though you'd have to do this after all of the data sets are combined with either the Group Datasets or Append Datasets filter.<br>
<br>Regards,<br>Andy<br><br><br></div><div class="gmail_extra"><br><br><div class="gmail_quote">On Tue, Apr 1, 2014 at 12:08 PM, Ken Mankoff <span dir="ltr"><<a href="mailto:mankoff@gmail.com" target="_blank">mankoff@gmail.com</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Hi,<br>
<br>
Thanks for the pointer to Group Datasets, Andy. That seems to be useful.<br>
<br>
BUT even that has issues... if I group, then the Delauny2D applies to<br>
all, etc.<br>
<br>
Is there a way to apply a global Z-scale? When working with topography<br>
it would be nice to not worry about each of the many individual data<br>
products brought in, and just have them all scaled by 3 or 10 in Z<br>
only. Is this possible?<br>
<br>
Thanks,<br>
<br>
-k.<br>
<br>
<br>
On 2014-03-31 at 22:15, Andy Bauer wrote:<br>
> Hi Ken,<br>
><br>
> There are 2 options that sound kind of what you're looking for. The first<br>
> is the Group Datasets filter which combines data sets into a multiblock<br>
> data set. Just highlight the filters that you want to combine before<br>
> selecting the Group Datasets filter. The advantage to this is that it is<br>
> very cheap memory wise due to shallow-copying of data. It also doesn't have<br>
> the requirement that they must be the same original data set or even<br>
> contain the same fields.<br>
><br>
> The second option is to use the Append Datasets filter which turns all of<br>
> your grouped data sets into a single unstructured grid and ignores and<br>
> point or cell data that doesn't exist in all of the input grids. This has<br>
> the advantage that it acts as a single "joined" data set but can be costly<br>
> memory-wise, especially if any of your original grids are a structured grid.<br>
><br>
> Regards,<br>
> Andy<br>
><br>
> ps. Welcome to the mailing list!<br>
><br>
><br>
> On Mon, Mar 31, 2014 at 7:00 PM, Ken Mankoff <<a href="mailto:mankoff@gmail.com">mankoff@gmail.com</a>> wrote:<br>
><br>
>> Hi,<br>
>><br>
>> Paraview newbie here. First time posting.<br>
>><br>
>> I have multiple data sets and I think I would like to merge or join them<br>
>> to make the final product easier to work with.<br>
>><br>
>> Specifically, I have two CSV files. One pipeline is load -> Delauny<br>
>> 2D. The other CSV pipeline is just load. Then I would like apply "Warp<br>
>> by Scalar" to both, and select a colorbar and have that apply to both.<br>
>><br>
>> I'll be bringing in other data that I would like to Warp by Scalar (the<br>
>> same scalar, so that everything has a better Z scale). But the other<br>
>> data will have its own colorbar, and further processing.<br>
>><br>
>> Being a newbie I'm not even sure if "merge" or "join" are the correct<br>
>> keywords to use when searching for what I want to do. I've read the<br>
>> manual section on Manipulating the Pipeline.<br>
>> <a href="http://www.paraview.org/Wiki/ParaView/UsersGuide/Manipulating_the_Pipeline" target="_blank">http://www.paraview.org/Wiki/ParaView/UsersGuide/Manipulating_the_Pipeline</a><br>
>> I don't see an appropriate section to explore based on the ToC in the<br>
>> Paraview manual.<br>
>><br>
>> Thanks for any guidance,<br>
>><br>
>> Ken Mankoff<br>
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<br>
</blockquote></div><br></div>