[Paraview] ParaView newbie with a (hopefully) simple question

[Shawn Waldon]

Hi Amy,

I think a Python scripting approach is probably the best solution then.

When replying to a thread on a mailing list, make sure you hit reply all so
that the mailing list stays in the conversation.  I have added the ParaView
users list back to the cc.

Shawn

On Mon, Aug 7, 2017 at 3:21 PM, Amelia Launspach <amylaunspach at gmail.com>
wrote:

> It does already have a time dimension which I eventually was going to
> change from 'VTK Color Block' to 'time' after I had grouped all of the data
> together. So until then, I am trying to think of a solution to
> automatically group all the data together upon loading..
>
> Thank you for your input! This is my first time using the mailing list and
> I am pleasantly surprised by how quick people respond :)
>
> On Mon, Aug 7, 2017 at 2:08 PM, Shawn Waldon <shawn.waldon at kitware.com>
> wrote:
>
>> Hi Amy,
>>
>> The easiest way would probably be this:
>>
>> ParaView should automatically recognize the sequence of numbered files
>> and give you an option to load "mbdout_r000102_s000001_e..vtm" in the
>> file dialog.  This will load the data as a time series with one data file
>> per step.  Then you can apply the "Group Time Steps" filter which reads all
>> the time steps into a multiblock dataset (the equivalent of running Group
>> Dataset on them).  Of course if your dataset has a time dimension too, you
>> will have trouble reading that since you are already using time for
>> something else...
>>
>> I see Ufuk has replied since I started typing this and his python
>> scripting approach may be superior if your dataset has time steps already.
>>
>> HTH,
>> Shawn
>>
>> On Mon, Aug 7, 2017 at 2:55 PM, Amelia Launspach <amylaunspach at gmail.com>
>> wrote:
>>
>>> Hello everyone,
>>>
>>> I was assigned a small project on ParaView and I need help getting
>>> started.
>>>
>>> I need to find a way to loop through N number of source files in the
>>> Pipeline Browser and return the count for number N and group them together
>>> using the group dataset filter.
>>>
>>> Each time I upload the data it will be a different number of files that
>>> look something like this:
>>> [image: Inline image 1]
>>> Right now there are N=22 files but the N will differ each time. So I
>>> want to create a script/or programmable filter that will loop through every
>>> file in the pipeline browser, add it to a group dataset, and lastly print
>>> the number N.
>>>
>>> How would I begin to do this? Can this be done with a simple script that
>>> I can just copy and paste each time in the shell? Would it be easier to
>>> build a programmable filter?
>>>
>>> Any help would be appreciated !
>>>
>>> Thanks,
>>> Amy
>>>
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