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issues using clip in python driven analysis

Hey all, hopefully this is a simple question. I have a python script that includes a clip in my pipeline, using the code

Code:

c1 = pv.Clip(Input=fieldReader)

c1.ClipType = 'Box'

c1.InsideOut = 1

c1.ClipType.Scale = [xs,ys,zs]

pv.UpdatePipeline()

however, when I run this script, the resulting box is dramatically smaller then I specified. If I then manually hit 'apply' again, the box becomes the size I want. I'm unclear on why this is happening and how to fix it, and would welcome any advice. Also, if anyone is aware of any good resources for helping with python scripting, I would really appreciate it.
Thanks!

Quote:

Originally Posted by robo (Post 657406)

Hey all, hopefully this is a simple question. I have a python script that includes a clip in my pipeline, using the code

Code:

c1 = pv.Clip(Input=fieldReader)

c1.ClipType = 'Box'

c1.InsideOut = 1

c1.ClipType.Scale = [xs,ys,zs]

pv.UpdatePipeline()

Hi robo,

Maybe you can try to add the "bounds" and "position" definition of the clip before the "scale" command to control the limits of the clip?

Code:

c1 = pv.Clip(Input=fieldReader)

c1.ClipType = 'Box'

c1.InsideOut = 1

c1.ClipType.Bounds = [xb1,yb1,zb1,xb2,yb2,zb2]

c1.ClipType.Position = [xp,yp,zp]

c1.ClipType.Scale = [xs,ys,zs]

pv.UpdatePipeline()

Good luck!

Cheers