Thanks sounds exactly what I was looking for. However I don't really
know how to use it:

source=GetActiveSource()
iter=servermanager.vtkPVCompositeDataInformationIteratior()
dir(iter) -> shows no GetCurrentName()

Thanks Bastian


>
> -------- Original-Nachricht --------
> Betreff:      Re: [Paraview] Name query from multi-block data in Python
> Datum:        Tue, 2 Mar 2010 14:24:51 -0500
> Von:  Utkarsh Ayachit <[email protected]>
> An:   [email protected] <[email protected]>
> CC:   ParaView <[email protected]>
>
>
>
> Yea, I don;t see why not. You can create the iterator as follows:
>
> > from paraview.simple import *
> > iter = servermanager.vtkPVCompositeDataInformationIterator()
>
>
> Utkarsh
>
> On Mon, Mar 1, 2010 at 5:04 PM, [email protected] <[email protected]> 
> wrote:
> > Thanks. Can this be done from within Python?
> >
> > Regards Bastian
> >
> > Am 01.03.2010 15:10, schrieb Utkarsh Ayachit:
> >> Alternatively you can use the vtkPVCompositeDataInformationIterator to
> >> iterate over the blocks as well. It has a method GetCurrentName()
> >> which can be used to obtain the name of the current block.
> >>
> >> Utkarsh
> >>
> >> On Mon, Mar 1, 2010 at 6:40 AM, Berk Geveci <[email protected]> 
> >> wrote:
> >>
> >>> Yes. If one of the first level children is a multi-block dataset, you can 
> >>> do
> >>> something like:
> >>>
> >>> dataInformation.GetCompositeDataInformation().GetDataInformation(i).GetCompositeDataInformation().GetInformation(j)
> >>>
> >>> -berk
> >>>
> >>> On Sat, Feb 27, 2010 at 5:33 AM, [email protected] <[email protected]>
> >>> wrote:
> >>>
> >>>> Hi,
> >>>>
> >>>> I use python to extract blocks of a multi-block dataset. In both 3.6.2
> >>>> and 3.7-dev I can do:
> >>>>
> >>>> http://www.cmake.org/Wiki/Extracting_Multiple_Blocks
> >>>>
> >>>> However it was discussed it will be easier in 3.8?
> >>>> IS there an opportunity to query for names in an multiblock-dataset with
> >>>> deepth > 1? The link below works e.g. for Ensight Reader inputs since it
> >>>> is of deepth 1 but not for mutliblock data with larger deepth.
> >>>>
> >>>> Thanks Basti
> >>>> _______________________________________________
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> >>>
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>
>   

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