ClipUnstructuredGridWithPlane

VTKExamples/Python/UnstructuredGrid/ClipUnstructuredGridWithPlane


Description

The example uses vtkTableBasedClipDataSet to clip a vtkUnstructuredGrid. The resulting output and clipped output are presented in yellow and red respectively. To illustrate the clipped interfaces, the example uses a vtkTransform to rotate each output about their centers.

Note that unlike other clipping filters (except for vtkClipPolyData), vtkTableBasedClipDataSet retains the original cells if they are not clipped.

After exiting, the example reports the number of each cell type for each output:


The inside dataset contains a
  vtkUnstructuredGrid that has 26116 cells
    Cell type vtkTetra occurs 3751 times.
    Cell type vtkHexahedron occurs 17361 times.
    Cell type vtkWedge occurs 628 times.
    Cell type vtkPyramid occurs 4376 times.
The clipped dataset contains a 
  vtkUnstructuredGrid that has 25655 cells
    Cell type vtkTetra occurs 3715 times.
    Cell type vtkHexahedron occurs 16984 times.
    Cell type vtkWedge occurs 616 times.
    Cell type vtkPyramid occurs 4340 times.

Compare these results with ClipUnstructuredGridWithPlane2 (C++), ClipUnstructuredGridWithPlane2 (Python). Also, the resulting vtkUnstructuredGrid's has 1/4 the number of cells.

usage

ClipUnstructuredGridWithPlane treemesh.vtk

thanks

Thanks to Bane Sullivan for sharing the treemesh.vtk unstructured grid dataset.

Other Languages

See (Cxx)

Question

If you have a simple question about this example contact us at VTKExamplesProject If your question is more complex and may require extended discussion, please use the VTK Discourse Forum

Code

ClipUnstructuredGridWithPlane.py

#!/usr/bin/env python

import collections

import vtk


def get_program_parameters():
    import argparse
    description = 'Use a vtkTableBasedClipDataSet to clip a vtkUnstructuredGrid.'
    epilogue = '''
 Use a vtkTableBasedClipDataSet to clip a vtkUnstructuredGrid.
 The resulting output and clipped output are presented in yellow and red respectively.
 To illustrate the clipped interfaces, the example uses a vtkTransform to rotate each
    output about their centers.
 Note: This clipping filter doe retain the original cells if they are not clipped.

   '''
    parser = argparse.ArgumentParser(description=description, epilog=epilogue,
                                     formatter_class=argparse.RawDescriptionHelpFormatter)
    parser.add_argument('filename', help='treemesh.vtk.')
    args = parser.parse_args()
    return args.filename


def main():
    filename = get_program_parameters()

    # Create the reader for the data.
    reader = vtk.vtkUnstructuredGridReader()
    reader.SetFileName(filename)
    reader.Update()

    bounds = reader.GetOutput().GetBounds()
    center = reader.GetOutput().GetCenter()

    colors = vtk.vtkNamedColors()
    renderer = vtk.vtkRenderer()
    renderer.SetBackground(colors.GetColor3d("Wheat"))
    renderer.UseHiddenLineRemovalOn()

    renderWindow = vtk.vtkRenderWindow()
    renderWindow.AddRenderer(renderer)
    renderWindow.SetSize(640, 480)

    interactor = vtk.vtkRenderWindowInteractor()
    interactor.SetRenderWindow(renderWindow)

    xnorm = [-1.0, -1.0, 1.0]

    clipPlane = vtk.vtkPlane()
    clipPlane.SetOrigin(reader.GetOutput().GetCenter())
    clipPlane.SetNormal(xnorm)

    clipper = vtk.vtkTableBasedClipDataSet()
    clipper.SetClipFunction(clipPlane)
    clipper.SetInputData(reader.GetOutput())
    clipper.SetValue(0.0)
    clipper.GenerateClippedOutputOn()
    clipper.Update()

    insideMapper = vtk.vtkDataSetMapper()
    insideMapper.SetInputData(clipper.GetOutput())
    insideMapper.ScalarVisibilityOff()

    insideActor = vtk.vtkActor()
    insideActor.SetMapper(insideMapper)
    insideActor.GetProperty().SetDiffuseColor(colors.GetColor3d("banana"))
    insideActor.GetProperty().SetAmbient(.3)
    insideActor.GetProperty().EdgeVisibilityOn()

    clippedMapper = vtk.vtkDataSetMapper()
    clippedMapper.SetInputData(clipper.GetClippedOutput())
    clippedMapper.ScalarVisibilityOff()

    clippedActor = vtk.vtkActor()
    clippedActor.SetMapper(clippedMapper)
    clippedActor.GetProperty().SetDiffuseColor(colors.GetColor3d("tomato"))
    insideActor.GetProperty().SetAmbient(.3)
    clippedActor.GetProperty().EdgeVisibilityOn()

    # Create transforms to make a better visualization
    insideTransform = vtk.vtkTransform()
    insideTransform.Translate(-(bounds[1] - bounds[0]) * 0.75, 0, 0)
    insideTransform.Translate(center[0], center[1], center[2])
    insideTransform.RotateY(-120.0)
    insideTransform.Translate(-center[0], -center[1], -center[2])
    insideActor.SetUserTransform(insideTransform)

    clippedTransform = vtk.vtkTransform()
    clippedTransform.Translate((bounds[1] - bounds[0]) * 0.75, 0, 0)
    clippedTransform.Translate(center[0], center[1], center[2])
    clippedTransform.RotateY(60.0)
    clippedTransform.Translate(-center[0], -center[1], -center[2])
    clippedActor.SetUserTransform(clippedTransform)

    renderer.AddViewProp(clippedActor)
    renderer.AddViewProp(insideActor)

    renderer.ResetCamera()
    renderer.GetActiveCamera().Dolly(1.4)
    renderer.ResetCameraClippingRange()
    renderWindow.Render()
    renderWindow.SetWindowName('ClipUnstructuredGridWithPlane')
    renderWindow.Render()

    interactor.Start()

    # Generate a report
    numberOfCells = clipper.GetOutput().GetNumberOfCells()
    print("------------------------")
    print("The inside dataset contains a \n", clipper.GetOutput().GetClassName(), " that has ", numberOfCells, " cells")
    cellMap = dict()
    for i in range(0, numberOfCells):
        cellMap.setdefault(clipper.GetOutput().GetCellType(i), 0)
        cellMap[clipper.GetOutput().GetCellType(i)] += 1
    # Sort by key and put into an OrderedDict.
    # An OrderedDict remembers the order in which the keys have been inserted.
    for k, v in collections.OrderedDict(sorted(cellMap.items())).items():
        print("\tCell type ", vtk.vtkCellTypes.GetClassNameFromTypeId(k), " occurs ", v, " times.")

    numberOfCells = clipper.GetClippedOutput().GetNumberOfCells()
    print("------------------------")
    print("The clipped dataset contains a \n", clipper.GetClippedOutput().GetClassName(), " that has ", numberOfCells,
          " cells")
    outsideCellMap = dict()
    for i in range(0, numberOfCells):
        outsideCellMap.setdefault(clipper.GetClippedOutput().GetCellType(i), 0)
        outsideCellMap[clipper.GetClippedOutput().GetCellType(i)] += 1
    for k, v in collections.OrderedDict(sorted(outsideCellMap.items())).items():
        print("\tCell type ", vtk.vtkCellTypes.GetClassNameFromTypeId(k), " occurs ", v, " times.")


if __name__ == "__main__":
    main()