StreamlinesWithLineWidget
VTKExamples/Python/VisualizationAlgorithms/StreamlinesWithLineWidget
Description¶
Produce streamlines in the combustor dataset.¶
This example demonstrates how to use the vtkLineWidget to seed and manipulate streamlines. Two line widgets are created. The first is invoked by pressing 'i', the second by pressing 'L' (capital). Both can exist together.
If the fourth parameter is non-zero, it is used to generate an image with streamlines: 1) The third parameter value is changed to 25. 2) The camera position and first line widget are positioned differently. 3) The streamlines are displayed running from the first line widget. 4) The second line widget is still available.
In the C++ version, note how we handle callbacks by first implementing a class, then instantiating it and then passing references to the needed variables to it. Finally we add it as an observer.
For the Python version the process is slightly different. We simply define a function with references to the needed variables from the outer scope (or they could be global). Finally add it as an observer.
Code¶
StreamlinesWithLineWidget.py
#!/usr/bin/env python """ Modified from VTK/Examples/GUI/Python/StreamlinesWithLineWidget.py. This program encompasses the functionality of StreamlinesWithLineWidget.tcl and LineWidget.tcl. """ import vtk def main(): colors = vtk.vtkNamedColors() fileName1, fileName2, numOfStreamLines, illustration = get_program_parameters() if illustration: numOfStreamLines = 25 # Start by loading some data. pl3d = vtk.vtkMultiBlockPLOT3DReader() pl3d.SetXYZFileName(fileName1) pl3d.SetQFileName(fileName2) pl3d.SetScalarFunctionNumber(100) # Density pl3d.SetVectorFunctionNumber(202) # Momentum pl3d.Update() pl3d_output = pl3d.GetOutput().GetBlock(0) # Create the Renderer, RenderWindow and RenderWindowInteractor. ren = vtk.vtkRenderer() renWin = vtk.vtkRenderWindow() renWin.AddRenderer(ren) iren = vtk.vtkRenderWindowInteractor() iren.SetRenderWindow(renWin) # Needed by: vtkStreamTracer and vtkLineWidget. seeds = vtk.vtkPolyData() streamline = vtk.vtkActor() seeds2 = vtk.vtkPolyData() streamline2 = vtk.vtkActor() # The line widget is used seed the streamlines. lineWidget = vtk.vtkLineWidget() lineWidget.SetResolution(numOfStreamLines) lineWidget.SetInputData(pl3d_output) lineWidget.GetPolyData(seeds) if illustration: lineWidget.SetAlignToNone() lineWidget.SetPoint1(0.974678, 5.073630, 31.217961) lineWidget.SetPoint2(0.457544, -4.995921, 31.080175) else: lineWidget.SetAlignToYAxis() lineWidget.ClampToBoundsOn() lineWidget.PlaceWidget() # Callback functions that actually generate streamlines. def EnableActorCallback(obj, event): # global streamline streamline.VisibilityOn() def GenerateStreamlinesCallback(obj, event): # global seeds, renWin obj.GetPolyData(seeds) renWin.Render() # Associate the line widget with the interactor and setup callbacks. lineWidget.SetInteractor(iren) lineWidget.AddObserver("StartInteractionEvent", EnableActorCallback) lineWidget.AddObserver("InteractionEvent", GenerateStreamlinesCallback) # The second line widget is used seed more streamlines. lineWidget2 = vtk.vtkLineWidget() lineWidget2.SetResolution(numOfStreamLines) lineWidget2.SetInputData(pl3d_output) lineWidget2.GetPolyData(seeds2) lineWidget2.SetKeyPressActivationValue('L') lineWidget2.SetAlignToZAxis() lineWidget.ClampToBoundsOn() lineWidget2.PlaceWidget() def EnableActorCallback2(obj, event): # global streamline2 streamline2.VisibilityOn() def GenerateStreamlinesCallback2(obj, event): # global seeds2, renWin obj.GetPolyData(seeds2) renWin.Render() lineWidget2.SetInteractor(iren) lineWidget2.AddObserver("StartInteractionEvent", EnableActorCallback2) lineWidget2.AddObserver("EndInteractionEvent", GenerateStreamlinesCallback2) # Here we set up two streamlines. rk4 = vtk.vtkRungeKutta4() streamer = vtk.vtkStreamTracer() streamer.SetInputData(pl3d_output) streamer.SetSourceData(seeds) streamer.SetMaximumPropagation(100) streamer.SetInitialIntegrationStep(0.2) streamer.SetIntegrationDirectionToForward() streamer.SetComputeVorticity(1) streamer.SetIntegrator(rk4) rf = vtk.vtkRibbonFilter() rf.SetInputConnection(streamer.GetOutputPort()) rf.SetWidth(0.1) rf.SetWidthFactor(5) streamMapper = vtk.vtkPolyDataMapper() streamMapper.SetInputConnection(rf.GetOutputPort()) streamMapper.SetScalarRange(pl3d_output.GetScalarRange()) streamline.SetMapper(streamMapper) streamline.VisibilityOff() streamer2 = vtk.vtkStreamTracer() streamer2.SetInputData(pl3d_output) streamer2.SetSourceData(seeds2) streamer2.SetMaximumPropagation(100) streamer2.SetInitialIntegrationStep(0.2) streamer2.SetIntegrationDirectionToForward() streamer2.SetComputeVorticity(1) streamer2.SetIntegrator(rk4) rf2 = vtk.vtkRibbonFilter() rf2.SetInputConnection(streamer2.GetOutputPort()) rf2.SetWidth(0.1) rf2.SetWidthFactor(5) streamMapper2 = vtk.vtkPolyDataMapper() streamMapper2.SetInputConnection(rf2.GetOutputPort()) streamMapper2.SetScalarRange(pl3d_output.GetScalarRange()) streamline2.SetMapper(streamMapper2) streamline2.VisibilityOff() # Get an outline of the data set for context. outline = vtk.vtkStructuredGridOutlineFilter() outline.SetInputData(pl3d_output) outlineMapper = vtk.vtkPolyDataMapper() outlineMapper.SetInputConnection(outline.GetOutputPort()) outlineActor = vtk.vtkActor() outlineActor.GetProperty().SetColor(colors.GetColor3d("Black")) outlineActor.SetMapper(outlineMapper) # Add the actors to the renderer, set the background and size. ren.AddActor(outlineActor) ren.AddActor(streamline) ren.AddActor(streamline2) renWin.SetSize(512, 512) cam = ren.GetActiveCamera() if illustration: # We need to directly display the streamlines in this case. lineWidget.EnabledOn() streamline.VisibilityOn() lineWidget.GetPolyData(seeds) renWin.Render() cam.SetClippingRange(14.216207, 68.382915) cam.SetFocalPoint(9.718210, 0.458166, 29.399900) cam.SetPosition(-15.827551, -16.997463, 54.003120) cam.SetViewUp(0.616076, 0.179428, 0.766979) ren.SetBackground(colors.GetColor3d("Silver")) else: cam.SetClippingRange(3.95297, 50) cam.SetFocalPoint(9.71821, 0.458166, 29.3999) cam.SetPosition(2.7439, -37.3196, 38.7167) cam.SetViewUp(-0.16123, 0.264271, 0.950876) ren.SetBackground(colors.GetColor3d("Silver")) iren.Initialize() renWin.Render() iren.Start() def get_program_parameters(): import argparse description = 'Produce streamlines in the combustor dataset.' epilogue = ''' Produce streamlines in the combustor dataset. This example demonstrates how to use the vtkLineWidget to seed and manipulate streamlines. Two line widgets are created. The first is invoked by pressing 'i', the second by pressing 'L' (capital). Both can exist together. If the fourth parameter is non-zero, it is used to generate an image with streamlines: 1) The third parameter value is changed to 25. 2) The camera position and first line widget are positioned differently. 3) The streamlines are displayed running from the first line widget. 4) The second line widget is still available. ''' parser = argparse.ArgumentParser(description=description, epilog=epilogue, formatter_class=argparse.RawDescriptionHelpFormatter) parser.add_argument('filename1', help='combxyz.bin.') parser.add_argument('filename2', help='combq.bin.') parser.add_argument('numOfStreamLines', default=25, type=int, nargs='?', help='The number of stream lines.') parser.add_argument('illustration', default=0, type=int, nargs='?', help='If non-zero, reproduce Fig 7-39 of the VTK Textbook.') args = parser.parse_args() return args.filename1, args.filename2, args.numOfStreamLines, args.illustration if __name__ == '__main__': main()