HyperStreamline

VTKEx/Python/VisualizationAlgorithms/HyperStreamline

Description

This is an example of hyperstreamlines. The data is from a point load applied to semi-infinite domain. Compare this image to TensorEllipsoids that used tensor ellipsoids to visualize the same data. Notice that there is less clutter and more information available from the hyperstreamline visualization.

Other languages

See (Cxx)

Question

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Code

HyperStreamline.py

#!/usr/bin/env python

"""
"""

import vtk


def main():
    colors = vtk.vtkNamedColors()

    # Create the RenderWindow, Renderer and Interactor.
    #
    ren1 = vtk.vtkRenderer()
    renWin = vtk.vtkRenderWindow()
    renWin.AddRenderer(ren1)
    iren = vtk.vtkRenderWindowInteractor()
    iren.SetRenderWindow(renWin)

    # Generate the tensors.
    ptLoad = vtk.vtkPointLoad()
    ptLoad.SetLoadValue(100.0)
    ptLoad.SetSampleDimensions(20, 20, 20)
    ptLoad.ComputeEffectiveStressOn()
    ptLoad.SetModelBounds(-10, 10, -10, 10, -10, 10)
    ptLoad.Update()

    # Generate the hyperstreamlines.
    s1 = vtk.vtkHyperStreamline()
    s1.SetInputData(ptLoad.GetOutput())
    s1.SetStartPosition(9, 9, -9)
    s1.IntegrateMinorEigenvector()
    s1.SetMaximumPropagationDistance(18.0)
    s1.SetIntegrationStepLength(0.1)
    s1.SetStepLength(0.01)
    s1.SetRadius(0.25)
    s1.SetNumberOfSides(18)
    s1.SetIntegrationDirectionToIntegrateBothDirections()
    s1.Update()

    # Map the hyperstreamlines.
    lut = vtk.vtkLogLookupTable()
    lut.SetHueRange(.6667, 0.0)

    s1Mapper = vtk.vtkPolyDataMapper()
    s1Mapper.SetInputConnection(s1.GetOutputPort())
    s1Mapper.SetLookupTable(lut)
    s1Mapper.SetScalarRange(ptLoad.GetOutput().GetScalarRange())

    s1Actor = vtk.vtkActor()
    s1Actor.SetMapper(s1Mapper)

    s2 = vtk.vtkHyperStreamline()
    s2.SetInputData(ptLoad.GetOutput())
    s2.SetStartPosition(-9, -9, -9)
    s2.IntegrateMinorEigenvector()
    s2.SetMaximumPropagationDistance(18.0)
    s2.SetIntegrationStepLength(0.1)
    s2.SetStepLength(0.01)
    s2.SetRadius(0.25)
    s2.SetNumberOfSides(18)
    s2.SetIntegrationDirectionToIntegrateBothDirections()
    s2.Update()

    s2Mapper = vtk.vtkPolyDataMapper()
    s2Mapper.SetInputConnection(s2.GetOutputPort())
    s2Mapper.SetLookupTable(lut)
    s2Mapper.SetScalarRange(ptLoad.GetOutput().GetScalarRange())

    s2Actor = vtk.vtkActor()
    s2Actor.SetMapper(s2Mapper)

    s3 = vtk.vtkHyperStreamline()
    s3.SetInputData(ptLoad.GetOutput())
    s3.SetStartPosition(9, -9, -9)
    s3.IntegrateMinorEigenvector()
    s3.SetMaximumPropagationDistance(18.0)
    s3.SetIntegrationStepLength(0.1)
    s3.SetStepLength(0.01)
    s3.SetRadius(0.25)
    s3.SetNumberOfSides(18)
    s3.SetIntegrationDirectionToIntegrateBothDirections()
    s3.Update()

    s3Mapper = vtk.vtkPolyDataMapper()
    s3Mapper.SetInputConnection(s3.GetOutputPort())
    s3Mapper.SetLookupTable(lut)
    s3Mapper.SetScalarRange(ptLoad.GetOutput().GetScalarRange())

    s3Actor = vtk.vtkActor()
    s3Actor.SetMapper(s3Mapper)

    s4 = vtk.vtkHyperStreamline()
    s4.SetInputData(ptLoad.GetOutput())
    s4.SetStartPosition(-9, 9, -9)
    s4.IntegrateMinorEigenvector()
    s4.SetMaximumPropagationDistance(18.0)
    s4.SetIntegrationStepLength(0.1)
    s4.SetStepLength(0.01)
    s4.SetRadius(0.25)
    s4.SetNumberOfSides(18)
    s4.SetIntegrationDirectionToIntegrateBothDirections()
    s4.Update()

    s4Mapper = vtk.vtkPolyDataMapper()
    s4Mapper.SetInputConnection(s4.GetOutputPort())
    s4Mapper.SetLookupTable(lut)
    s4Mapper.SetScalarRange(ptLoad.GetOutput().GetScalarRange())

    s4Actor = vtk.vtkActor()
    s4Actor.SetMapper(s4Mapper)

    # A plane for context.
    #
    g = vtk.vtkImageDataGeometryFilter()
    g.SetInputData(ptLoad.GetOutput())
    g.SetExtent(0, 100, 0, 100, 0, 0)
    g.Update()  # for scalar range

    gm = vtk.vtkPolyDataMapper()
    gm.SetInputConnection(g.GetOutputPort())
    gm.SetScalarRange(g.GetOutput().GetScalarRange())

    ga = vtk.vtkActor()
    ga.SetMapper(gm)

    # Create an outline around the data.
    #
    outline = vtk.vtkOutlineFilter()
    outline.SetInputData(ptLoad.GetOutput())

    outlineMapper = vtk.vtkPolyDataMapper()
    outlineMapper.SetInputConnection(outline.GetOutputPort())

    outlineActor = vtk.vtkActor()
    outlineActor.SetMapper(outlineMapper)
    outlineActor.GetProperty().SetColor(colors.GetColor3d("Black"))

    # Create a cone indicating the application of the load.
    #
    coneSrc = vtk.vtkConeSource()
    coneSrc.SetRadius(.5)
    coneSrc.SetHeight(2)

    coneMap = vtk.vtkPolyDataMapper()
    coneMap.SetInputConnection(coneSrc.GetOutputPort())

    coneActor = vtk.vtkActor()
    coneActor.SetMapper(coneMap)
    coneActor.SetPosition(0, 0, 11)
    coneActor.RotateY(90)
    coneActor.GetProperty().SetColor(colors.GetColor3d("Tomato"))

    camera = vtk.vtkCamera()
    camera.SetFocalPoint(0.113766, -1.13665, -1.01919)
    camera.SetPosition(-29.4886, -63.1488, 26.5807)
    camera.SetViewAngle(24.4617)
    camera.SetViewUp(0.17138, 0.331163, 0.927879)
    camera.SetClippingRange(1, 100)

    ren1.AddActor(s1Actor)
    ren1.AddActor(s2Actor)
    ren1.AddActor(s3Actor)
    ren1.AddActor(s4Actor)
    ren1.AddActor(outlineActor)
    ren1.AddActor(coneActor)
    ren1.AddActor(ga)
    ren1.SetBackground(colors.GetColor3d("SlateGray"))
    ren1.SetActiveCamera(camera)

    renWin.SetSize(640, 480)
    renWin.Render()
    iren.Start()


if __name__ == '__main__':
    main()