mayavi2 vtk file problem

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mayavi2 vtk file problem

Scott Webster
Sorry for this totally beginner question I'm sure.  I've generated a
vtk file using matlab, and am trying to visualize it in mayavi.  My
data file contains points, cells, cell_types, and cell_data scalars.

When I import the file into mayavi, the scalars are shown in the "cell
scalars name" box.  However, if I choose any of a variety of modules
that require scalars (e.g. isosurface), mayavi complains "Cannot
contour: No scalars in input data!"  Should I not be able to contour
cell scalars?  If I use the CellToPointData filter, then it seems to
work.

Here's a test file:
http://sewebster.com/16elec1.vtk

Scott Webster, Ph.D.

Coanda Research & Development Corporation
401 - 6741 Cariboo Rd., Burnaby, BC, Canada, V3N 4A3

T: 604-420-0367 x212
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Re: mayavi2 vtk file problem

Thomas Lecocq
Scott,

I just tried your vtk file and it does show well using Surface :
<img src="data:image/png;base64,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" alt="">

or celltopoint then isosurface :
<img src="data:image/png;base64,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" alt="">

So, indeed, you need to have points in order to isosurface them. I'm no vtk expert, but I guess nearest neighbour calculations are behind the isosurface, and these require points...

HTH,

Thomas

> Date: Fri, 17 Aug 2012 14:27:17 -0700

> From: [hidden email]
> To: [hidden email]
> Subject: [Enthought-Dev] mayavi2 vtk file problem
>
> Sorry for this totally beginner question I'm sure. I've generated a
> vtk file using matlab, and am trying to visualize it in mayavi. My
> data file contains points, cells, cell_types, and cell_data scalars.
>
> When I import the file into mayavi, the scalars are shown in the "cell
> scalars name" box. However, if I choose any of a variety of modules
> that require scalars (e.g. isosurface), mayavi complains "Cannot
> contour: No scalars in input data!" Should I not be able to contour
> cell scalars? If I use the CellToPointData filter, then it seems to
> work.
>
> Here's a test file:
> http://sewebster.com/16elec1.vtk
>
> Scott Webster, Ph.D.
>
> Coanda Research & Development Corporation
> 401 - 6741 Cariboo Rd., Burnaby, BC, Canada, V3N 4A3
>
> T: 604-420-0367 x212
> M: 778-232-1577
> F: 604-420-0368
> http://www.coanda.ca
> _______________________________________________
> Enthought-Dev mailing list
> [hidden email]
> https://mail.enthought.com/mailman/listinfo/enthought-dev

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Re: mayavi2 vtk file problem

Scott Webster
Thanks for looking into this Thomas.  I've done some more digging myself and it does seem very common for modules to work only with point data.  I actually filed a bug about this for the volume module, which I would have thought should behave differently:


In the meantime though, using CellToPointData seems to work!

Thanks,

Scott Webster, Ph.D.

Coanda Research & Development Corporation
401 - 6741 Cariboo Rd., Burnaby, BC, Canada, V3N 4A3

T: 604-420-0367 x212
M: 778-232-1577
F: 604-420-0368




On Tue, Aug 28, 2012 at 1:33 PM, Thomas Lecocq <[hidden email]> wrote:
Scott,

I just tried your vtk file and it does show well using Surface :


or celltopoint then isosurface :


So, indeed, you need to have points in order to isosurface them. I'm no vtk expert, but I guess nearest neighbour calculations are behind the isosurface, and these require points...

HTH,

Thomas

> Date: Fri, 17 Aug 2012 14:27:17 -0700
> From: [hidden email]
> To: [hidden email]
> Subject: [Enthought-Dev] mayavi2 vtk file problem

>
> Sorry for this totally beginner question I'm sure. I've generated a
> vtk file using matlab, and am trying to visualize it in mayavi. My
> data file contains points, cells, cell_types, and cell_data scalars.
>
> When I import the file into mayavi, the scalars are shown in the "cell
> scalars name" box. However, if I choose any of a variety of modules
> that require scalars (e.g. isosurface), mayavi complains "Cannot
> contour: No scalars in input data!" Should I not be able to contour
> cell scalars? If I use the CellToPointData filter, then it seems to
> work.
>
> Here's a test file:
> http://sewebster.com/16elec1.vtk
>
> Scott Webster, Ph.D.
>
> Coanda Research & Development Corporation
> 401 - 6741 Cariboo Rd., Burnaby, BC, Canada, V3N 4A3
>
> T: <a href="tel:604-420-0367%20x212" value="+16044200367" target="_blank">604-420-0367 x212
> M: <a href="tel:778-232-1577" value="+17782321577" target="_blank">778-232-1577
> F: <a href="tel:604-420-0368" value="+16044200368" target="_blank">604-420-0368
> http://www.coanda.ca
> _______________________________________________
> Enthought-Dev mailing list
> [hidden email]
> https://mail.enthought.com/mailman/listinfo/enthought-dev

_______________________________________________
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[hidden email]
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