[Paraview] block merging using Paraview

[Andy Bauer]

To be clear, I meant first use the group data set filter or merge block
filter to put all of the cells in the same data set and then use the clean
to grid filter to get rid of duplicate points.  Points won't get merged if
they are not within a certain distance from each other.  So again the real
problem isn't that all of the cells aren't in the same data set but the fact
that the grid connectivity is not correct.  If you are doing this in
parallel this can also have an affect on appearance due to not having the
correct connectivity between cells on different partitions/processors.

If you can give me a more detailed description of the problem and send the
grid I can take a closer look at it.

Andy

On Wed, Jan 27, 2010 at 10:04 AM, Julien Bodart <julien.bodart at gmail.com>wrote:

> Well, actually I think I tried all the filters, included the clean to grid
> one.
> In my case there is actually no duplicate point between files:
>
> for example:
>
> file-1, z-coord: 0.0,0.1,0.2
> file-2, z-coord: 0.3,0.4,0.5
>
> And the grid is structured.
>
> Maybe in this case there is no way to make a single dataset?
>
>
>
> 2010/1/27 Andy Bauer <andy.bauer at kitware.com>
>
>> Try using the clean to grid filter.  Although all of the cells are in the
>> same data set (probably an unstructured grid), the filter does not realize
>> that there are duplicate points and because of this the grid connectivity is
>> probably not what you're expecting.
>>
>> Andy
>>
>> On Wed, Jan 27, 2010 at 8:03 AM, Julien Bodart <julien.bodart at gmail.com>wrote:
>>
>>> Hi,
>>>
>>> I am new to Paraview, thanks to the new Netcdf Reader of 3.6 release.
>>> (Thank you very much for that)
>>> Therefore my problem is probably really trivial but I can't get it
>>> resolved...
>>> I am reading 2 or more netcdf file describing several part of the grid.
>>> The complete domain is a cube(rectilinear grid), sliced in a given number
>>> of files. There is no ghost cells so there is no obvious match between
>>> files.
>>> When I try to merge the different block (using the group dataset filter
>>> or merge block), I end up with a split domain, leading to a visual gap
>>> between each sub-domain, whether I am plotting contour , vertical plane or
>>> whatever.
>>> Is there a way to "really" merge those subdomain to end up with a single
>>> domain.
>>>
>>> Thanks in advance!
>>>
>>> Julien
>>>
>>>
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