def __init__(self):
self._rendererScene = vtk.vtkRenderer()
self._rendererScene.SetBackground(self.COLOR_BG)
self._renderWindowScene = vtk.vtkRenderWindow()
self._renderWindowScene.AddRenderer(self._rendererScene)
self._renderWindowInteractor = vtk.vtkRenderWindowInteractor()
self._renderWindowInteractor.SetRenderWindow(self._renderWindowScene)
#self._interactorStyle = vtk.vtkInteractorStyleUnicam()
self._interactorStyle = self.KeyPressInteractorStyle()
self._interactorStyle.SetCamera(self._rendererScene.GetActiveCamera())
self._interactorStyle.SetRenderer(self._rendererScene)
self._interactorStyle.SetRenderWindow(self._renderWindowScene)
self._contextViewPlotCurv = vtk.vtkContextView()
self._contextViewPlotCurv.GetRenderer().SetBackground(
self.COLOR_BG_PLOT)
self._contextInteractorStyleCurv = self.KeyPressContextInteractorStyle(
)
self._contextInteractorStyleCurv.SetRenderWindow(
self._contextViewPlotCurv.GetRenderWindow())
self._chartXYCurv = vtk.vtkChartXY()
self._contextViewPlotCurv.GetScene().AddItem(self._chartXYCurv)
self._chartXYCurv.SetShowLegend(True)
self._chartXYCurv.GetAxis(vtk.vtkAxis.LEFT).SetTitle("")
self._chartXYCurv.GetAxis(vtk.vtkAxis.BOTTOM).SetTitle("")
self._contextViewPlotTors = vtk.vtkContextView()
self._contextViewPlotTors.GetRenderer().SetBackground(
self.COLOR_BG_PLOT)
self._contextInteractorStyleTors = self.KeyPressContextInteractorStyle(
)
self._contextInteractorStyleTors.SetRenderWindow(
self._contextViewPlotTors.GetRenderWindow())
self._chartXYTors = vtk.vtkChartXY()
self._contextViewPlotTors.GetScene().AddItem(self._chartXYTors)
self._chartXYTors.SetShowLegend(True)
self._chartXYTors.GetAxis(vtk.vtkAxis.LEFT).SetTitle("")
self._chartXYTors.GetAxis(vtk.vtkAxis.BOTTOM).SetTitle("")
self._textActor = vtk.vtkTextActor()
self._textActor.GetTextProperty().SetColor(self.COLOR_LENGTH)
self._addedBSpline = False
def main():
colors = vtk.vtkNamedColors()
chart = vtk.vtkChartXYZ()
chart.SetGeometry(vtk.vtkRectf(10.0, 10.0, 630, 470))
plot = vtk.vtkPlotSurface()
view = vtk.vtkContextView()
view.GetRenderer().SetBackground(colors.GetColor3d("Silver"))
view.GetRenderWindow().SetSize(640, 480)
view.GetScene().AddItem(chart)
# Create a surface
table = vtk.vtkTable()
numPoints = 70
inc = 9.424778 / (numPoints - 1)
for i in range(numPoints):
arr = vtk.vtkFloatArray()
table.AddColumn(arr)
table.SetNumberOfRows(numPoints)
for i in range(numPoints):
x = i * inc
for j in range(numPoints):
y = j * inc
table.SetValue(i, j, sin(sqrt(x * x + y * y)))
# Set up the surface plot we wish to visualize and add it to the chart
plot.SetXRange(0, 10.0)
plot.SetYRange(0, 10.0)
plot.SetInputData(table)
plot.GetPen().SetColorF(colors.GetColor3d("Tomato"))
chart.AddPlot(plot)
view.GetRenderWindow().SetMultiSamples(0)
view.GetInteractor().Initialize()
view.GetRenderWindow().Render()
# Rotate
mouseEvent = vtk.vtkContextMouseEvent()
mouseEvent.SetInteractor(view.GetInteractor())
pos = vtk.vtkVector2i()
lastPos = vtk.vtkVector2i()
mouseEvent.SetButton(vtk.vtkContextMouseEvent.LEFT_BUTTON)
lastPos.Set(100, 50)
mouseEvent.SetLastScreenPos(lastPos)
pos.Set(150, 100)
mouseEvent.SetScreenPos(pos)
sP = [float(x) for x in pos]
lSP = [float(x) for x in lastPos]
screenPos = [float(x) for x in mouseEvent.GetScreenPos()]
lastScreenPos = [float(x) for x in mouseEvent.GetLastScreenPos()]
chart.MouseMoveEvent(mouseEvent)
view.GetInteractor().Start()
def testBarGraph(self):
"Test if bar graphs can be built with python"
# Set up a 2D scene, add an XY chart to it
view = vtk.vtkContextView()
view.GetRenderer().SetBackground(1.0, 1.0, 1.0)
view.GetRenderWindow().SetSize(400, 300)
chart = vtk.vtkChartXY()
view.GetScene().AddItem(chart)
# Create a table with some points in it
table = vtk.vtkTable()
arrMonth = vtk.vtkIntArray()
arrMonth.SetName("Month")
arr2008 = vtk.vtkIntArray()
arr2008.SetName("2008")
arr2009 = vtk.vtkIntArray()
arr2009.SetName("2009")
arr2010 = vtk.vtkIntArray()
arr2010.SetName("2010")
numMonths = 12
for i in range(0, numMonths):
arrMonth.InsertNextValue(i + 1)
arr2008.InsertNextValue(data_2008[i])
arr2009.InsertNextValue(data_2009[i])
arr2010.InsertNextValue(data_2010[i])
table.AddColumn(arrMonth)
table.AddColumn(arr2008)
table.AddColumn(arr2009)
table.AddColumn(arr2010)
# Now add the line plots with appropriate colors
line = chart.AddPlot(2)
line.SetInputData(table, 0, 1)
line.SetColor(0, 255, 0, 255)
line = chart.AddPlot(2)
line.SetInputData(table, 0, 2)
line.SetColor(255, 0, 0, 255)
line = chart.AddPlot(2)
line.SetInputData(table, 0, 3)
line.SetColor(0, 0, 255, 255)
view.GetRenderWindow().SetMultiSamples(0)
view.GetRenderWindow().Render()
img_file = "TestBarGraph.png"
vtk.test.Testing.compareImage(
view.GetRenderWindow(),
vtk.test.Testing.getAbsImagePath(img_file),
threshold=25)
vtk.test.Testing.interact()
def TestColorTransferFunction(int , char):
# Set up a 2D scene, add an XY chart to it
view = vtk.vtkContextView()
view.GetRenderer().SetBackground(1.0, 1.0, 1.0)
view.GetRenderWindow().SetSize(400, 300)
chart = vtk.vtkChartXY()
chart.SetTitle('Chart')
view.GetScene().AddItem(chart)
colorTransferFunction = vtk.vtkColorTransferFunction()
colorTransferFunction.AddHSVSegment(50.,0.,1.,1.,85.,0.3333,1.,1.)
colorTransferFunction.AddHSVSegment(85.,0.3333,1.,1.,170.,0.6666,1.,1.)
colorTransferFunction.AddHSVSegment(170.,0.6666,1.,1.,200.,0.,1.,1.)
colorTransferFunction.Build()
colorTransferItem = vtk.vtkColorTransferFunctionItem()
colorTransferItem.SetColorTransferFunction(colorTransferFunction)
chart.AddPlot(colorTransferItem)
controlPointsItem = vtk.vtkColorTransferControlPointsItem()
controlPointsItem.SetColorTransferFunction(colorTransferFunction)
controlPointsItem.SetUserBounds(0., 255., 0., 1.)
chart.AddPlot(controlPointsItem)
# Finally render the scene and compare the image to a reference image
view.GetRenderWindow().SetMultiSamples(1)
if view.GetContext().GetDevice().IsA( "vtkOpenGLContextDevice2D") :
view.GetInteractor().Initialize()
view.GetInteractor().Start()
else:
print 'GL version 2 or higher is required.'
return EXIT_SUCCESS
def __init__(self, parent=None):
QCellWidget.__init__(self, parent)
centralLayout = QtGui.QVBoxLayout()
self.setLayout(centralLayout)
centralLayout.setMargin(0)
centralLayout.setSpacing(0)
self.view = vtk.vtkContextView()
self.widget = QVTKRenderWindowInteractor(self,
rw=self.view.GetRenderWindow(),
iren=self.view.GetInteractor()
)
self.chart = vtk.vtkChartParallelCoordinates()
self.view.GetScene().AddItem(self.chart)
self.layout().addWidget(self.widget)
# Create a annotation link to access selection in parallel coordinates view
self.annotationLink = vtk.vtkAnnotationLink()
# If you don't set the FieldType explicitly it ends up as UNKNOWN (as of 21 Feb 2010)
# See vtkSelectionNode doc for field and content type enum values
self.annotationLink.GetCurrentSelection().GetNode(0).SetFieldType(1) # Point
self.annotationLink.GetCurrentSelection().GetNode(0).SetContentType(4) # Indices
# Connect the annotation link to the parallel coordinates representation
self.chart.SetAnnotationLink(self.annotationLink)
self.annotationLink.AddObserver("AnnotationChangedEvent", self.selectionCallback)
def generateParallelCoordinatesPlot(self):
input = self.inputModule().getOutput()
ptData = input.GetPointData()
narrays = ptData.GetNumberOfArrays()
arrays = []
# Create a table with some points in it...
table = vtk.vtkTable()
for iArray in range(narrays):
table.AddColumn(ptData.GetArray(iArray))
# Set up a 2D scene, add an XY chart to it
view = vtk.vtkContextView()
# view.SetRenderer( self.renderer )
# view.SetRenderWindow( self.renderer.GetRenderWindow() )
view.GetRenderer().SetBackground(1.0, 1.0, 1.0)
view.GetRenderWindow().SetSize(600, 300)
plot = vtk.vtkPlotParallelCoordinates()
plot.SetInput(table)
view.GetScene().AddItem(plot)
view.ResetCamera()
view.Render()
# Start interaction event loop
view.GetInteractor().Start()
def __init__(self, parent=None):
QCellWidget.__init__(self, parent)
centralLayout = QtGui.QVBoxLayout()
self.setLayout(centralLayout)
centralLayout.setMargin(0)
centralLayout.setSpacing(0)
self.view = vtk.vtkContextView()
self.widget = QVTKRenderWindowInteractor(
self,
rw=self.view.GetRenderWindow(),
iren=self.view.GetInteractor())
self.chart = vtk.vtkChartParallelCoordinates()
self.view.GetScene().AddItem(self.chart)
self.layout().addWidget(self.widget)
# Create a annotation link to access selection in parallel coordinates view
self.annotationLink = vtk.vtkAnnotationLink()
# If you don't set the FieldType explicitly it ends up as UNKNOWN (as of 21 Feb 2010)
# See vtkSelectionNode doc for field and content type enum values
self.annotationLink.GetCurrentSelection().GetNode(0).SetFieldType(
1) # Point
self.annotationLink.GetCurrentSelection().GetNode(0).SetContentType(
4) # Indices
# Connect the annotation link to the parallel coordinates representation
self.chart.SetAnnotationLink(self.annotationLink)
self.annotationLink.AddObserver("AnnotationChangedEvent",
self.selectionCallback)
def __init__(self, x, y, xrange_=10.):
super(VTKPlot, self).__init__()
self.setGeometry(50, 50, 700, 350)
self.setWindowOpacity(1.)
self.view = vtk.vtkContextView()
chartMatrix = vtk.vtkChartMatrix()
chartMatrix.SetSize(vtk.vtkVector2i(1, 1))
chartMatrix.SetGutter(vtk.vtkVector2f(50, 50))
self.vtkWidget = QVTKRenderWindowInteractor(self)
self.view.SetRenderWindow(self.vtkWidget.GetRenderWindow())
self.view.GetRenderer().SetBackground(1.0, 1.0, 1.0)
self.view.GetScene().AddItem(chartMatrix)
self.chart = chartMatrix.GetChart(vtk.vtkVector2i(0, 0))
self.arrY = vtk.vtkFloatArray()
self.arrX = vtk.vtkFloatArray()
self.table = vtk.vtkTable()
self.add_plot(x, y, xrange_=xrange_)
self.chart.GetAxis(vtk.vtkAxis.BOTTOM).SetTitle("Time")
self.chart.GetAxis(vtk.vtkAxis.LEFT).SetTitle("Signal")
self.view.GetRenderWindow().SetMultiSamples(0)
self.view.GetRenderWindow().Render()
layout = QGridLayout()
layout.addWidget(self.vtkWidget, 0, 0)
self.setLayout(layout)
def testLinePlot(self):
"Test if line plots can be built with python"
# Set up a 2D scene, add an XY chart to it
view = vtk.vtkContextView()
view.GetRenderer().SetBackground(1.0,1.0,1.0)
view.GetRenderWindow().SetSize(400,300)
chart = vtk.vtkChartXY()
view.GetScene().AddItem(chart)
# Create a table with some points in it
table = vtk.vtkTable()
arrX = vtk.vtkFloatArray()
arrX.SetName("X Axis")
arrC = vtk.vtkFloatArray()
arrC.SetName("Cosine")
arrS = vtk.vtkFloatArray()
arrS.SetName("Sine")
arrS2 = vtk.vtkFloatArray()
arrS2.SetName("Sine2")
numPoints = 69
inc = 7.5 / (numPoints - 1)
for i in range(0,numPoints):
arrX.InsertNextValue(i*inc)
arrC.InsertNextValue(math.cos(i * inc) + 0.0)
arrS.InsertNextValue(math.sin(i * inc) + 0.0)
arrS2.InsertNextValue(math.sin(i * inc) + 0.5)
table.AddColumn(arrX)
table.AddColumn(arrC)
table.AddColumn(arrS)
table.AddColumn(arrS2)
# Now add the line plots with appropriate colors
line = chart.AddPlot(0)
line.SetInput(table,0,1)
line.SetColor(0,255,0,255)
line.SetWidth(1.0)
line = chart.AddPlot(0)
line.SetInput(table,0,2)
line.SetColor(255,0,0,255);
line.SetWidth(5.0)
line = chart.AddPlot(0)
line.SetInput(table,0,3)
line.SetColor(0,0,255,255);
line.SetWidth(4.0)
view.GetRenderWindow().SetMultiSamples(0)
img_file = "TestLinePlot.png"
vtk.test.Testing.compareImage(view.GetRenderWindow(),vtk.test.Testing.getAbsImagePath(img_file),threshold=25)
vtk.test.Testing.interact()
def generateParallelCoordinatesPlot( self ):
input = self.inputModule().getOutput()
ptData = input.GetPointData()
narrays = ptData.GetNumberOfArrays()
arrays = []
# Create a table with some points in it...
table = vtk.vtkTable()
for iArray in range( narrays ):
table.AddColumn( ptData.GetArray( iArray ) )
# Set up a 2D scene, add an XY chart to it
view = vtk.vtkContextView()
# view.SetRenderer( self.renderer )
# view.SetRenderWindow( self.renderer.GetRenderWindow() )
view.GetRenderer().SetBackground(1.0, 1.0, 1.0)
view.GetRenderWindow().SetSize(600,300)
plot = vtk.vtkPlotParallelCoordinates()
plot.SetInput(table)
view.GetScene().AddItem(plot)
view.ResetCamera()
view.Render()
# Start interaction event loop
view.GetInteractor().Start()
def addPlot(self,_plotName,_style="Lines"): # called directly from Steppable; add a (possibly more than one) plot to a plot window
self.plotWindowInterfaceMutex.lock()
# self.plotWindowMutex.lock()
# return
# print MODULENAME,' addPlot(): _plotName= ',_plotName
# import pdb; pdb.set_trace()
# self.plotData[_plotName] = [array([],dtype=double),array([],dtype=double),False] # 'array': from PyQt4.Qwt5.anynumpy import *
self.chart = vtk.vtkChartXY()
# self.chart.GetAxis(vtk.vtkAxis.LEFT).SetLogScale(True)
# self.chart.GetAxis(vtk.vtkAxis.BOTTOM).SetLogScale(True)
# self.numCharts += 1
self.plotData[_plotName] = [self.chart]
self.view = vtk.vtkContextView()
self.ren = self.view.GetRenderer()
# self.renWin = self.qvtkWidget.GetRenderWindow()
self.renWin = self.pW.GetRenderWindow()
self.renWin.AddRenderer(self.ren)
# Create a table with some points in it
self.table = vtk.vtkTable()
self.arrX = vtk.vtkFloatArray()
self.arrX.SetName("xarray")
self.arrC = vtk.vtkFloatArray()
self.arrC.SetName("yarray")
numPoints = 5
numPoints = 15
inc = 7.5 / (numPoints - 1)
# for i in range(0,numPoints):
# self.arrX.InsertNextValue(i*inc)
# self.arrC.InsertNextValue(math.cos(i * inc) + 0.0)
# self.arrX.InsertNextValue(0.0)
# self.arrC.InsertNextValue(0.0)
# self.arrX.InsertNextValue(0.1)
# self.arrC.InsertNextValue(0.1)
self.table.AddColumn(self.arrX)
self.table.AddColumn(self.arrC)
# Now add the line plots with appropriate colors
self.line = self.chart.AddPlot(0)
self.line.SetInput(self.table,0,1)
self.line.SetColor(0,0,255,255)
self.line.SetWidth(1.0)
self.view.GetRenderer().SetBackground([0.6,0.6,0.1])
self.view.GetRenderer().SetBackground([1.0,1.0,1.0])
self.view.GetScene().AddItem(self.chart)
self.plotWindowInterfaceMutex.unlock()
def initialize(self, VTKWebApp, args):
dataid = args.id
treedata = getDBdata(dataid)
VTKWebApp.tree1 = treedata["tree1"]
VTKWebApp.tree2 = treedata["tree2"]
VTKWebApp.table = dataid+ ".csv"
# Create default pipeline (Only once for all the session)
if not VTKWebApp.view:
# read the trees
treeReader1 = vtk.vtkNewickTreeReader()
treeReader1.SetReadFromInputString(1)
treeReader1.SetInputString(VTKWebApp.tree1)
treeReader1.Update()
tree1 = treeReader1.GetOutput()
treeReader2 = vtk.vtkNewickTreeReader()
treeReader2.SetReadFromInputString(1)
treeReader2.SetInputString(VTKWebApp.tree2)
treeReader2.Update()
tree2 = treeReader2.GetOutput()
# read the table
tableReader = vtk.vtkDelimitedTextReader()
tableReader.SetFileName(VTKWebApp.table)
tableReader.SetHaveHeaders(True)
tableReader.DetectNumericColumnsOn()
tableReader.ForceDoubleOn()
tableReader.Update()
table = tableReader.GetOutput()
# setup the tanglegram
tanglegram = vtk.vtkTanglegramItem()
tanglegram.SetTree1(tree1);
tanglegram.SetTree2(tree2);
tanglegram.SetTable(table);
tanglegram.SetTree1Label("tree1");
tanglegram.SetTree2Label("tree2");
# setup the window
view = vtk.vtkContextView()
view.GetRenderer().SetBackground(1,1,1)
view.GetRenderWindow().SetSize(800,600)
iren = view.GetInteractor()
iren.SetRenderWindow(view.GetRenderWindow())
transformItem = vtk.vtkContextTransform()
transformItem.AddItem(tanglegram)
transformItem.SetInteractive(1)
view.GetScene().AddItem(transformItem)
view.GetRenderWindow().SetMultiSamples(0)
iren.Initialize()
view.GetRenderWindow().Render()
# VTK Web application specific
VTKWebApp.view = view.GetRenderWindow()
self.Application.GetObjectIdMap().SetActiveObject("VIEW", view.GetRenderWindow())
def main():
view = vtk.vtkContextView()
view.GetRenderer().SetBackground(1.0, 1.0, 1.0)
view.GetRenderWindow().SetSize(400, 300)
chart = vtk.vtkChartXY()
view.GetScene().AddItem(chart)
chart.SetShowLegend(True)
table = vtk.vtkTable()
arrX = vtk.vtkFloatArray()
arrX.SetName('X Axis')
arrC = vtk.vtkFloatArray()
arrC.SetName('Cosine')
arrS = vtk.vtkFloatArray()
arrS.SetName('Sine')
arrT = vtk.vtkFloatArray()
arrT.SetName('Sine-Cosine')
table.AddColumn(arrC)
table.AddColumn(arrS)
table.AddColumn(arrX)
table.AddColumn(arrT)
numPoints = 40
inc = 7.5 / (numPoints - 1)
table.SetNumberOfRows(numPoints)
for i in range(numPoints):
table.SetValue(i, 0, i * inc)
table.SetValue(i, 1, math.cos(i * inc))
table.SetValue(i, 2, math.sin(i * inc))
table.SetValue(i, 3, math.sin(i * inc) - math.cos(i * inc))
points = chart.AddPlot(vtk.vtkChart.POINTS)
points.SetInputData(table, 0, 1)
points.SetColor(0, 0, 0, 255)
points.SetWidth(1.0)
points.SetMarkerStyle(vtk.vtkPlotPoints.CROSS)
points = chart.AddPlot(vtk.vtkChart.POINTS)
points.SetInputData(table, 0, 2)
points.SetColor(0, 0, 0, 255)
points.SetWidth(1.0)
points.SetMarkerStyle(vtk.vtkPlotPoints.PLUS)
points = chart.AddPlot(vtk.vtkChart.POINTS)
points.SetInputData(table, 0, 3)
points.SetColor(0, 0, 255, 255)
points.SetWidth(1.0)
points.SetMarkerStyle(vtk.vtkPlotPoints.CIRCLE)
view.GetRenderWindow().SetMultiSamples(0)
view.GetInteractor().Initialize()
view.GetInteractor().Start()
def create_widgets(self):
# transfer function control
self.qtVtkWidget = DBSTransferFunctionWindowInteractor(self, \
app=self.parent() )
self._contextView = vtk.vtkContextView()
self._contextView.SetRenderWindow(self.qtVtkWidget.GetRenderWindow())
def __init__(self, data_source, input_link=None, highlight_link=None):
"""Parallel coordinates view constructor needs a valid DataSource plus
and external annotation link (from the icicle view).
"""
self.ds = data_source
self.input_link = None
if input_link is not None:
self.SetInputAnnotationLink(input_link)
# Set up a 2D scene, add an XY chart to it
self.view = vtk.vtkContextView()
self.view.GetRenderer().SetBackground(1.0, 1.0, 1.0)
self.view.GetRenderWindow().SetSize(600,300)
self.chart = vtkvtg.vtkMyChartParallelCoordinates()
self.highlight_link = None
if highlight_link is not None:
self.SetHighlightAnnotationLink(highlight_link)
# Create a annotation link to access selection in parallel coordinates view
self.link = vtk.vtkAnnotationLink()
# If you don't set the FieldType explicitly it ends up as UNKNOWN (as of 21 Feb 2010)
# See vtkSelectionNode doc for field and content type enum values
self.link.GetCurrentSelection().GetNode(0).SetFieldType(1) # Point
# The chart seems to force INDEX selection, so I'm using vtkConvertSelection below to get
# out PedigreeIds...
self.link.GetCurrentSelection().GetNode(0).SetContentType(4) # 2 = PedigreeIds, 4 = Indices
# Connect the annotation link to the parallel coordinates representation
self.chart.SetAnnotationLink(self.link)
# Set up callback for ID -> Pedigree ID conversion & copy to output link
self.link.AddObserver("AnnotationChangedEvent", self.PCoordsSelectionCallback)
# Set up output annotation link which will carry pedigree ids to image flow view
# Type and field will be set during conversion to pedigree ids in PCoordsSelectionCallback
self.output_link = vtk.vtkAnnotationLink()
self.view.GetScene().AddItem(self.chart)
# self.view.ResetCamera()
# self.view.Render()
# Set default scale range to show: 'all', 'coarse', 'fine'
# TODO: Should check the menu to see which is checked so default is
# set by GUI
self.scale_range = 'coarse'
# Want to keep track of whether the node coming in on the input_link
# is new or not
self.input_link_idx = 0
# Flag for whether to color by 'category_ids'
# TODO: Should check the menu to see which is checked so default is
# set by GUI
self.SetColorByArray("None")
def testBarGraph(self):
"Test if bar graphs can be built with python"
# Set up a 2D scene, add an XY chart to it
view = vtk.vtkContextView()
view.GetRenderer().SetBackground(1.0,1.0,1.0)
view.GetRenderWindow().SetSize(400,300)
chart = vtk.vtkChartXY()
view.GetScene().AddItem(chart)
# Create a table with some points in it
table = vtk.vtkTable()
arrMonth = vtk.vtkIntArray()
arrMonth.SetName("Month")
arr2008 = vtk.vtkIntArray()
arr2008.SetName("2008")
arr2009 = vtk.vtkIntArray()
arr2009.SetName("2009")
arr2010 = vtk.vtkIntArray()
arr2010.SetName("2010")
numMonths = 12
for i in range(0,numMonths):
arrMonth.InsertNextValue(i + 1)
arr2008.InsertNextValue(data_2008[i])
arr2009.InsertNextValue(data_2009[i])
arr2010.InsertNextValue(data_2010[i])
table.AddColumn(arrMonth)
table.AddColumn(arr2008)
table.AddColumn(arr2009)
table.AddColumn(arr2010)
# Now add the line plots with appropriate colors
line = chart.AddPlot(2)
line.SetInput(table,0,1)
line.SetColor(0,255,0,255)
line = chart.AddPlot(2)
line.SetInput(table,0,2)
line.SetColor(255,0,0,255);
line = chart.AddPlot(2)
line.SetInput(table,0,3)
line.SetColor(0,0,255,255);
view.GetRenderWindow().SetMultiSamples(0)
view.GetRenderWindow().Render()
img_file = "TestBarGraph.png"
vtk.test.Testing.compareImage(view.GetRenderWindow(),vtk.test.Testing.getAbsImagePath(img_file),threshold=25)
vtk.test.Testing.interact()
def __init__(self):
self.i = 0
self.props_name = {}
self.table = vtk.vtkTable()
self.view = vtk.vtkContextView()
self.view.GetRenderer().SetBackground(1.0, 1.0, 1.0);
print "+Vtk_plot"
def testPythonItem(self):
width = 400
height = 400
view = vtk.vtkContextView()
renWin = view.GetRenderWindow()
renWin.SetSize(width, height)
area = vtk.vtkInteractiveArea()
view.GetScene().AddItem(area)
drawAreaBounds = vtk.vtkRectd(0.0, 0.0, 1.0, 1.0)
vp = [0.05, 0.95, 0.05, 0.95]
screenGeometry = vtk.vtkRecti(int(vp[0] * width),
int(vp[2] * height),
int((vp[1] - vp[0]) * width),
int((vp[3] - vp[2]) * height))
item = vtk.vtkPythonItem()
item.SetPythonObject(CustomPythonItem(buildPolyData()))
item.SetVisible(True)
area.GetDrawAreaItem().AddItem(item)
area.SetDrawAreaBounds(drawAreaBounds)
area.SetGeometry(screenGeometry)
area.SetFillViewport(False)
area.SetShowGrid(False)
axisLeft = area.GetAxis(vtk.vtkAxis.LEFT)
axisRight = area.GetAxis(vtk.vtkAxis.RIGHT)
axisBottom = area.GetAxis(vtk.vtkAxis.BOTTOM)
axisTop = area.GetAxis(vtk.vtkAxis.TOP)
axisTop.SetVisible(False)
axisRight.SetVisible(False)
axisLeft.SetVisible(False)
axisBottom.SetVisible(False)
axisTop.SetMargins(0, 0)
axisRight.SetMargins(0, 0)
axisLeft.SetMargins(0, 0)
axisBottom.SetMargins(0, 0)
renWin.Render()
# Create a vtkTesting object
rtTester = vtk.vtkTesting()
rtTester.SetRenderWindow(renWin)
for arg in sys.argv[1:]:
rtTester.AddArgument(arg)
# Perform the image comparison test and print out the result.
result = rtTester.RegressionTest(0.0)
if result == 0:
raise Exception("TestPythonItem failed.")
def __init__(self):
self.i = 0
self.props_name = {}
self.table = vtk.vtkTable()
self.view = vtk.vtkContextView()
self.view.GetRenderer().SetBackground(1.0, 1.0, 1.0)
self.view.GetRenderWindow().SetSize(600, 600)
print "+Vtk_plot \'%s\'" % vtk.vtkVersion().GetVTKVersion()
def initialize(self):
global renderer, renderWindow, renderWindowInteractor, cone, mapper, actor
# Bring used components
self.registerVtkWebProtocol(protocols.vtkWebMouseHandler())
self.registerVtkWebProtocol(protocols.vtkWebViewPort())
self.registerVtkWebProtocol(protocols.vtkWebViewPortImageDelivery())
self.registerVtkWebProtocol(protocols.vtkWebViewPortGeometryDelivery())
# Update authentication key to use
self.updateSecret(_PhylogeneticTree.authKey)
# Create default pipeline (Only once for all the session)
if not _PhylogeneticTree.view:
# read in a tree
treeReader = vtk.vtkNewickTreeReader()
treeReader.SetFileName(_PhylogeneticTree.treeFilePath)
treeReader.Update()
reader = treeReader.GetOutput()
# read in a table
tableReader = vtk.vtkDelimitedTextReader()
tableReader.SetFileName(_PhylogeneticTree.csvFilePath)
tableReader.SetHaveHeaders(True)
tableReader.DetectNumericColumnsOn()
tableReader.Update()
table = tableReader.GetOutput()
# play with the heatmap vis
treeHeatmapItem = vtk.vtkTreeHeatmapItem()
treeHeatmapItem.SetTree(reader)
treeHeatmapItem.SetTable(table)
# setup the window
view = vtk.vtkContextView()
view.GetRenderer().SetBackground(1, 1, 1)
view.GetRenderWindow().SetSize(800, 600)
iren = view.GetInteractor()
iren.SetRenderWindow(view.GetRenderWindow())
transformItem = vtk.vtkContextTransform()
transformItem.AddItem(treeHeatmapItem)
transformItem.SetInteractive(1)
view.GetScene().AddItem(transformItem)
view.GetRenderWindow().SetMultiSamples(0)
iren.Initialize()
view.GetRenderWindow().Render()
# VTK Web application specific
_PhylogeneticTree.view = view.GetRenderWindow()
self.Application.GetObjectIdMap().SetActiveObject(
"VIEW", view.GetRenderWindow())
def __init__(self):
self._rendererScene = vtk.vtkRenderer()
self._rendererScene.SetBackground(self.COLOR_BG)
self._renderWindowScene = vtk.vtkRenderWindow()
self._renderWindowScene.AddRenderer(self._rendererScene)
self._renderWindowInteractor = vtk.vtkRenderWindowInteractor()
self._renderWindowInteractor.SetRenderWindow(self._renderWindowScene)
#self._interactorStyle = vtk.vtkInteractorStyleUnicam()
self._interactorStyle = self.KeyPressInteractorStyle()
self._interactorStyle.SetCamera(self._rendererScene.GetActiveCamera())
self._interactorStyle.SetRenderer(self._rendererScene)
self._interactorStyle.SetRenderWindow(self._renderWindowScene)
self._contextViewPlotCurv = vtk.vtkContextView()
self._contextViewPlotCurv.GetRenderer().SetBackground(self.COLOR_BG_PLOT)
self._contextInteractorStyleCurv = self.KeyPressContextInteractorStyle()
self._contextInteractorStyleCurv.SetRenderWindow(self._contextViewPlotCurv.GetRenderWindow())
self._chartXYCurv = vtk.vtkChartXY()
self._contextViewPlotCurv.GetScene().AddItem(self._chartXYCurv)
self._chartXYCurv.SetShowLegend(True)
self._chartXYCurv.GetAxis(vtk.vtkAxis.LEFT).SetTitle("")
self._chartXYCurv.GetAxis(vtk.vtkAxis.BOTTOM).SetTitle("")
self._contextViewPlotTors = vtk.vtkContextView()
self._contextViewPlotTors.GetRenderer().SetBackground(self.COLOR_BG_PLOT)
self._contextInteractorStyleTors = self.KeyPressContextInteractorStyle()
self._contextInteractorStyleTors.SetRenderWindow(self._contextViewPlotTors.GetRenderWindow())
self._chartXYTors = vtk.vtkChartXY()
self._contextViewPlotTors.GetScene().AddItem(self._chartXYTors)
self._chartXYTors.SetShowLegend(True)
self._chartXYTors.GetAxis(vtk.vtkAxis.LEFT).SetTitle("")
self._chartXYTors.GetAxis(vtk.vtkAxis.BOTTOM).SetTitle("")
self._textActor = vtk.vtkTextActor()
self._textActor.GetTextProperty().SetColor(self.COLOR_LENGTH)
self._addedBSpline = False
def __init__(self, measure_obj=None, parent=None):
"""
Constructor
"""
super(GraphWidget, self).__init__(parent=parent)
# parent
self._parent = parent
# self.frame = QtGui.QFrame()
#
# self.vl = QtGui.QVBoxLayout()
self.view = vtk.vtkContextView()
self.view.GetRenderer().SetBackground(1.0, 1.0, 1.0)
# self.vtkWidget = QVTKRenderWindowInteractor(self.frame)
#
# self.vl.addWidget(self.vtkWidget)
self.view.SetInteractor(self.GetRenderWindow().GetInteractor())
self.SetRenderWindow(self.view.GetRenderWindow())
# self.ren = vtk.vtkRenderer()
# self.vtkWidget.GetRenderWindow().AddRenderer(self.ren)
# self.interactor = self.vtkWidget.GetRenderWindow().GetInteractor()
# self.frame.setLayout(self.vl)
# self.setCentralWidget(self.frame)
self.xy_data = vtk.vtkTable()
self.arrX = vtk.vtkFloatArray()
self.arrX.SetName("X Axis")
self.xy_data.AddColumn(self.arrX)
self.arrY = vtk.vtkFloatArray()
self.arrY.SetName("Y value")
self.xy_data.AddColumn(self.arrY)
numPoints = 20
inc = 7.5 / (numPoints - 1)
self.xy_data.SetNumberOfRows(numPoints)
for i in range(numPoints):
self.xy_data.SetValue(i, 0, i * inc)
self.xy_data.SetValue(i, 1, i * inc)
# self.view = vtk.vtkContextView()
# self.view.GetRenderer().SetBackground(1.0, 0.0, 1.0)
#
self.chart = vtk.vtkChartXY()
self.chart.GetAxis(0).SetGridVisible(False)
self.chart.GetAxis(1).SetGridVisible(False)
self.view.GetScene().AddItem(self.chart)
self.line = self.chart.AddPlot(vtk.vtkChart.LINE)
self.line.SetInputData(self.xy_data, 0, 1)
def initialize(self):
global renderer, renderWindow, renderWindowInteractor, cone, mapper, actor
# Bring used components
self.registerVtkWebProtocol(protocols.vtkWebMouseHandler())
self.registerVtkWebProtocol(protocols.vtkWebViewPort())
self.registerVtkWebProtocol(protocols.vtkWebViewPortImageDelivery())
self.registerVtkWebProtocol(protocols.vtkWebViewPortGeometryDelivery())
# Update authentication key to use
self.updateSecret(_PhylogeneticTree.authKey)
# Create default pipeline (Only once for all the session)
if not _PhylogeneticTree.view:
# read in a tree
treeReader = vtk.vtkNewickTreeReader()
treeReader.SetFileName(_PhylogeneticTree.treeFilePath)
treeReader.Update()
reader = treeReader.GetOutput()
# read in a table
tableReader = vtk.vtkDelimitedTextReader()
tableReader.SetFileName(_PhylogeneticTree.csvFilePath)
tableReader.SetHaveHeaders(True)
tableReader.DetectNumericColumnsOn()
tableReader.Update()
table = tableReader.GetOutput()
# play with the heatmap vis
treeHeatmapItem = vtk.vtkTreeHeatmapItem()
treeHeatmapItem.SetTree(reader);
treeHeatmapItem.SetTable(table);
# setup the window
view = vtk.vtkContextView()
view.GetRenderer().SetBackground(1,1,1)
view.GetRenderWindow().SetSize(800,600)
iren = view.GetInteractor()
iren.SetRenderWindow(view.GetRenderWindow())
transformItem = vtk.vtkContextTransform()
transformItem.AddItem(treeHeatmapItem)
transformItem.SetInteractive(1)
view.GetScene().AddItem(transformItem)
view.GetRenderWindow().SetMultiSamples(0)
iren.Initialize()
view.GetRenderWindow().Render()
# VTK Web application specific
_PhylogeneticTree.view = view.GetRenderWindow()
self.Application.GetObjectIdMap().SetActiveObject("VIEW", view.GetRenderWindow())
def generateParallelCoordinatesChart(self):
input = self.inputModule().getOutput()
ptData = input.GetPointData()
narrays = ptData.GetNumberOfArrays()
arrays = []
# Create a table with some points in it...
table = vtk.vtkTable()
for iArray in range(narrays):
table.AddColumn(ptData.GetArray(iArray))
# Set up a 2D scene, add an XY chart to it
view = vtk.vtkContextView()
# view.SetRenderer( self.renderer )
# view.SetRenderWindow( self.renderer.GetRenderWindow() )
view.GetRenderer().SetBackground(1.0, 1.0, 1.0)
view.GetRenderWindow().SetSize(600, 300)
chart = vtk.vtkChartParallelCoordinates()
brush = vtk.vtkBrush()
brush.SetColorF(0.1, 0.1, 0.1)
chart.SetBackgroundBrush(brush)
# Create a annotation link to access selection in parallel coordinates view
annotationLink = vtk.vtkAnnotationLink()
# If you don't set the FieldType explicitly it ends up as UNKNOWN (as of 21 Feb 2010)
# See vtkSelectionNode doc for field and content type enum values
annotationLink.GetCurrentSelection().GetNode(0).SetFieldType(
1) # Point
annotationLink.GetCurrentSelection().GetNode(0).SetContentType(
4) # Indices
# Connect the annotation link to the parallel coordinates representation
chart.SetAnnotationLink(annotationLink)
view.GetScene().AddItem(chart)
chart.GetPlot(0).SetInput(table)
def selectionCallback(caller, event):
annSel = annotationLink.GetCurrentSelection()
if annSel.GetNumberOfNodes() > 0:
idxArr = annSel.GetNode(0).GetSelectionList()
if idxArr.GetNumberOfTuples() > 0:
print VN.vtk_to_numpy(idxArr)
# Set up callback to update 3d render window when selections are changed in
# parallel coordinates view
annotationLink.AddObserver("AnnotationChangedEvent", selectionCallback)
# view.ResetCamera()
# view.Render()
# view.GetInteractor().Start()
return view
def __init__(self, parent):
super(VTK2d, self).__init__(parent)
self.iren = QVTKRenderWindowInteractor()
self.vl = QtWidgets.QHBoxLayout()
self.vl.addWidget(self.iren)
self.setLayout(self.vl)
self.iren.Initialize()
self.view = vtk.vtkContextView()
self.chart_matrix = vtk.vtkChartMatrix()
self.view.GetScene().AddItem(self.chart_matrix)
self.ren = self.view.GetRenderer()
self.iren.GetRenderWindow().AddRenderer(self.ren)
def generateParallelCoordinatesChart( self ):
input = self.inputModule().getOutput()
ptData = input.GetPointData()
narrays = ptData.GetNumberOfArrays()
arrays = []
# Create a table with some points in it...
table = vtk.vtkTable()
for iArray in range( narrays ):
table.AddColumn( ptData.GetArray( iArray ) )
# Set up a 2D scene, add an XY chart to it
view = vtk.vtkContextView()
# view.SetRenderer( self.renderer )
# view.SetRenderWindow( self.renderer.GetRenderWindow() )
view.GetRenderer().SetBackground(1.0, 1.0, 1.0)
view.GetRenderWindow().SetSize(600,300)
chart = vtk.vtkChartParallelCoordinates()
brush = vtk.vtkBrush()
brush.SetColorF (0.1,0.1,0.1)
chart.SetBackgroundBrush(brush)
# Create a annotation link to access selection in parallel coordinates view
annotationLink = vtk.vtkAnnotationLink()
# If you don't set the FieldType explicitly it ends up as UNKNOWN (as of 21 Feb 2010)
# See vtkSelectionNode doc for field and content type enum values
annotationLink.GetCurrentSelection().GetNode(0).SetFieldType(1) # Point
annotationLink.GetCurrentSelection().GetNode(0).SetContentType(4) # Indices
# Connect the annotation link to the parallel coordinates representation
chart.SetAnnotationLink(annotationLink)
view.GetScene().AddItem(chart)
chart.GetPlot(0).SetInput(table)
def selectionCallback(caller, event):
annSel = annotationLink.GetCurrentSelection()
if annSel.GetNumberOfNodes() > 0:
idxArr = annSel.GetNode(0).GetSelectionList()
if idxArr.GetNumberOfTuples() > 0:
print VN.vtk_to_numpy(idxArr)
# Set up callback to update 3d render window when selections are changed in
# parallel coordinates view
annotationLink.AddObserver("AnnotationChangedEvent", selectionCallback)
# view.ResetCamera()
# view.Render()
# view.GetInteractor().Start()
return view
def main():
view = vtk.vtkContextView()
table = vtk.vtkTable()
arrMonth = vtk.vtkIntArray()
arrMonth.SetName("Month")
arr2008 = vtk.vtkIntArray()
arr2008.SetName("2008")
arr2009 = vtk.vtkIntArray()
arr2009.SetName("2009")
arr2010 = vtk.vtkIntArray()
arr2010.SetName("2010")
table.AddColumn(arrMonth)
table.AddColumn(arr2008)
table.AddColumn(arr2009)
table.AddColumn(arr2010)
table.SetNumberOfRows(12)
for i in range(12):
table.SetValue(i, 0, i + 1)
table.SetValue(i, 1, data_2008[i])
table.SetValue(i, 2, data_2009[i])
table.SetValue(i, 3, data_2010[i])
chart = vtk.vtkChartXY()
line = chart.AddPlot(vtk.vtkChart.BAR)
line.SetInputData(table, 0, 1)
line.SetColor(0.0, 1.0, 0.0)
line = chart.AddPlot(vtk.vtkChart.BAR)
line.SetInputData(table, 0, 2)
line.SetColor(1.0, 0.0, 0.0)
line = chart.AddPlot(vtk.vtkChart.BAR)
line.SetInputData(table, 0, 3)
line.SetColor(0.0, 0.0, 1.0)
view.GetScene().AddItem(chart)
view.GetRenderer().SetBackground(1.0, 1.0, 1.0)
view.GetRenderWindow().SetSize(1200, 1000)
view.GetRenderWindow().Render()
winToImageFilter = vtk.vtkWindowToImageFilter()
winToImageFilter.SetInput(view.GetRenderWindow())
winToImageFilter.Update()
writer = vtk.vtkPNGWriter()
writer.SetFileName("./test.png")
writer.SetInputData(winToImageFilter.GetOutput())
writer.Write()
def initialize(self, VTKWebApp, args):
VTKWebApp.treeFilePath = args.tree
VTKWebApp.csvFilePath = args.table
# Create default pipeline (Only once for all the session)
if not VTKWebApp.view:
# read in a tree
treeReader = vtk.vtkNewickTreeReader()
treeReader.SetFileName(VTKWebApp.treeFilePath)
treeReader.Update()
reader = treeReader.GetOutput()
# read in a table
tableReader = vtk.vtkDelimitedTextReader()
tableReader.SetFileName(VTKWebApp.csvFilePath)
tableReader.SetHaveHeaders(1)
tableReader.DetectNumericColumnsOn()
tableReader.Update()
table = tableReader.GetOutput()
# play with the heatmap vis
treeHeatmapItem = vtk.vtkTreeHeatmapItem()
treeHeatmapItem.SetTree(reader)
treeHeatmapItem.SetTable(table)
# setup the window
view = vtk.vtkContextView()
view.GetRenderer().SetBackground(1, 1, 1)
view.GetRenderWindow().SetSize(800, 600)
iren = view.GetInteractor()
iren.SetRenderWindow(view.GetRenderWindow())
transformItem = vtk.vtkContextTransform()
transformItem.AddItem(treeHeatmapItem)
transformItem.SetInteractive(1)
view.GetScene().AddItem(transformItem)
view.GetRenderWindow().SetMultiSamples(0)
iren.Initialize()
view.GetRenderWindow().Render()
# VTK Web application specific
VTKWebApp.view = view.GetRenderWindow()
self.Application.GetObjectIdMap().SetActiveObject("VIEW", view.GetRenderWindow())
def __init__(self, parent = None):
super(E_VolumeRenderingWidget, self).__init__(parent)
self.setMaximumWidth(300)
self.mainLayout = QVBoxLayout()
self.mainLayout.setSpacing(0)
self.setLayout(self.mainLayout)
self.m_widget = QVTKRenderWindowInteractor();
self.m_widget.setMaximumHeight(100)
self.m_widget.AddObserver('MouseMoveEvent', self.onMouseMove)
self.m_widget.AddObserver('LeftButtonPressEvent', self.onLeftDown, 1.0)
self.m_widget.AddObserver('LeftButtonReleaseEvent', self.onLeftUp, -1.0)
self.m_widget.hide()
self.m_bClicked = False
self.m_view = vtk.vtkContextView()
self.m_histogramChart = vtk.vtkChartXY()
self.Initialize()
def __init__(self, chart_frame):
super(VTKChartWidget, self).__init__()
vtk.vtkObject.GlobalWarningDisplayOff()
self.line_colors = default_line_colors
self.line_width = default_line_width
self.line_types = default_line_types
self._gui_callbacks = []
self.chart_frame = chart_frame
self.renderer = vtk.vtkRenderer()
self.renderer.SetBackground(1.0, 1.0, 1.0)
self.table = vtk.vtkTable()
self.chart = vtk.vtkChartXY()
self.chart_scene = vtk.vtkContextScene()
self.chart_actor = vtk.vtkContextActor()
self.chart_view = vtk.vtkContextView()
self.chart_scene.AddItem(self.chart)
self.chart_actor.SetScene(self.chart_scene)
self.chart_view.SetScene(self.chart_scene)
self.renderer.AddActor(self.chart_actor)
self.chart_scene.SetRenderer(self.renderer)
self.chart.SetShowLegend(True)
legend = self.chart.GetLegend()
legend.SetInline(False)
legend.SetHorizontalAlignment(vtk.vtkChartLegend.RIGHT)
legend.SetVerticalAlignment(vtk.vtkChartLegend.TOP)
legend.SetLabelSize(20)
title_prop = self.chart.GetTitleProperties()
title_prop.SetFontSize(20)
self.init_xy_data()
self.set_up_view()
def addPlot(
self,
_plotName,
_style="Lines"
): # called directly from Steppable; add a (possibly more than one) plot to a plot window
self.plotWindowInterfaceMutex.lock()
# self.plotWindowMutex.lock()
# return
# print MODULENAME,' addPlot(): _plotName= ',_plotName
# import pdb; pdb.set_trace()
# self.plotData[_plotName] = [array([],dtype=double),array([],dtype=double),False] # 'array': from PyQt4.Qwt5.anynumpy import *
self.chart = vtk.vtkChartXY()
# self.chart.GetAxis(vtk.vtkAxis.LEFT).SetLogScale(True)
# self.chart.GetAxis(vtk.vtkAxis.BOTTOM).SetLogScale(True)
# self.numCharts += 1
self.plotData[_plotName] = [self.chart]
self.view = vtk.vtkContextView()
self.ren = self.view.GetRenderer()
# self.renWin = self.qvtkWidget.GetRenderWindow()
self.renWin = self.pW.GetRenderWindow()
self.renWin.AddRenderer(self.ren)
# Create a table with some points in it
self.table = vtk.vtkTable()
self.arrX = vtk.vtkFloatArray()
self.arrX.SetName("xarray")
self.arrC = vtk.vtkFloatArray()
self.arrC.SetName("yarray")
numPoints = 5
numPoints = 15
inc = 7.5 / (numPoints - 1)
# for i in range(0,numPoints):
# self.arrX.InsertNextValue(i*inc)
# self.arrC.InsertNextValue(math.cos(i * inc) + 0.0)
# self.arrX.InsertNextValue(0.0)
# self.arrC.InsertNextValue(0.0)
# self.arrX.InsertNextValue(0.1)
# self.arrC.InsertNextValue(0.1)
self.table.AddColumn(self.arrX)
self.table.AddColumn(self.arrC)
# Now add the line plots with appropriate colors
self.line = self.chart.AddPlot(0)
self.line.SetInput(self.table, 0, 1)
self.line.SetColor(0, 0, 255, 255)
self.line.SetWidth(1.0)
self.view.GetRenderer().SetBackground([0.6, 0.6, 0.1])
self.view.GetRenderer().SetBackground([1.0, 1.0, 1.0])
self.view.GetScene().AddItem(self.chart)
self.plotWindowInterfaceMutex.unlock()
def __init__(self, parent=None):
# QtGui.QFrame.__init__(self, parent)
#
## self.plotWidget = CartesianPlot()
# self.plotWidget = PlotWidget()
#
# self.parentWidget = parent
# layout = QtGui.QBoxLayout(QtGui.QBoxLayout.TopToBottom)
# layout.addWidget(self.plotWidget)
# self.setLayout(layout)
# self.resize(400, 400)
# self.setMinimumSize(200, 200) #needs to be defined to resize smaller than 400x400
QtGui.QFrame.__init__(self, parent)
self.qvtkWidget = QVTKRenderWindowInteractor(self) # a QWidget
self.parentWidget = parent
# self.lineEdit = QtGui.QLineEdit()
# self.__initCrossSectionActions()
# self.cstb = self.initCrossSectionToolbar()
layout = QtGui.QBoxLayout(QtGui.QBoxLayout.TopToBottom)
# layout.addWidget(self.cstb)
layout.addWidget(self.qvtkWidget)
self.setLayout(layout)
self.qvtkWidget.Initialize()
self.qvtkWidget.Start()
# self.ren = vtk.vtkRenderer()
# self.renWin = self.qvtkWidget.GetRenderWindow()
# self.renWin.AddRenderer(self.ren)
# self.resize(300, 300)
self.chart = vtk.vtkChartXY()
self.view = vtk.vtkContextView()
self.ren = self.view.GetRenderer()
self.renWin = self.qvtkWidget.GetRenderWindow()
self.renWin.AddRenderer(self.ren)
# Create a table with some points in it
table = vtk.vtkTable()
arrX = vtk.vtkFloatArray()
arrX.SetName("X Axis")
arrC = vtk.vtkFloatArray()
arrC.SetName("Cosine")
numPoints = 20
inc = 7.5 / (numPoints - 1)
for i in range(0,numPoints):
arrX.InsertNextValue(i*inc)
arrC.InsertNextValue(math.cos(i * inc) + 0.0)
table.AddColumn(arrX)
table.AddColumn(arrC)
# Now add the line plots with appropriate colors
line = self.chart.AddPlot(0)
line.SetInput(table,0,1)
line.SetColor(0,0,255,255)
line.SetWidth(2.0)
def initialize(self, VTKWebApp, args):
# Create default pipeline (Only once for all the session)
if not VTKWebApp.view:
baseURL = args.baseURL
# support for overriding the base URL
scriptDir = os.path.dirname(os.path.realpath(__file__))
configPath = scriptDir + "/baseURL.txt"
if os.path.isfile(configPath):
f = file(configPath, "r")
baseURL = f.read().rstrip()
f.close()
# get our input data from romanesco
r = requests.get(baseURL + args.tree1URI, verify=False)
tree1JSON = r.json()
tree1Str = tree1JSON["data"]
r = requests.get(baseURL + args.tree2URI, verify=False)
tree2JSON = r.json()
tree2Str = tree2JSON["data"]
r = requests.get(baseURL + args.tableURI, verify=False)
tableJSON = r.json()
tableStr = tableJSON["data"]
# get the tree names (TODO: consider better ways to get this info)
tree1LabelURI = args.tree1URI[0:args.tree1URI.find("romanesco")]
r = requests.get(baseURL + tree1LabelURI, verify=False)
tree1LabelJSON = r.json()
tree1Label = tree1LabelJSON["name"]
tree1Label = tree1Label[0:tree1Label.find(".")]
tree2LabelURI = args.tree2URI[0:args.tree2URI.find("romanesco")]
r = requests.get(baseURL + tree2LabelURI, verify=False)
tree2LabelJSON = r.json()
tree2Label = tree2LabelJSON["name"]
tree2Label = tree2Label[0:tree2Label.find(".")]
# convert our input data into deserialized VTK objects
tree1Reader = vtk.vtkTreeReader()
tree1Reader.ReadFromInputStringOn()
tree1Reader.SetInputString(tree1Str, len(tree1Str))
tree1Reader.Update()
tree1 = tree1Reader.GetOutput()
tree2Reader = vtk.vtkTreeReader()
tree2Reader.ReadFromInputStringOn()
tree2Reader.SetInputString(tree2Str, len(tree2Str))
tree2Reader.Update()
tree2 = tree2Reader.GetOutput()
tableReader = vtk.vtkDelimitedTextReader()
tableReader.ReadFromInputStringOn()
tableReader.SetInputString(tableStr, len(tableStr))
tableReader.SetHaveHeaders(True)
tableReader.DetectNumericColumnsOn()
tableReader.ForceDoubleOn()
table = tableReader.GetOutput()
tableReader.Update()
# create our visualization item and load the data into it.
tanglegram = vtk.vtkTanglegramItem()
tanglegram.SetTree1(tree1)
tanglegram.SetTree2(tree2)
tanglegram.SetTable(table)
tanglegram.SetTree1Label(tree1Label)
tanglegram.SetTree2Label(tree2Label)
tanglegram.SetCorrespondenceLineWidth(4.0)
tanglegram.SetTreeLineWidth(2.0)
# setup the window
view = vtk.vtkContextView()
view.GetRenderWindow().SetSize(int(args.width), int(args.height))
view.GetRenderer().SetBackground(1, 1, 1)
iren = view.GetInteractor()
iren.SetRenderWindow(view.GetRenderWindow())
transformItem = vtk.vtkContextTransform()
transformItem.AddItem(tanglegram)
transformItem.SetInteractive(1)
view.GetScene().AddItem(transformItem)
view.GetRenderWindow().SetMultiSamples(0)
iren.Initialize()
view.GetRenderWindow().Render()
# VTK Web application specific
VTKWebApp.view = view.GetRenderWindow()
self.Application.GetObjectIdMap().SetActiveObject(
"VIEW", view.GetRenderWindow())
def testLinePlot(self):
"Test if colored scatter plots can be built with python"
# Set up a 2D scene, add an XY chart to it
view = vtk.vtkContextView()
view.GetRenderer().SetBackground(1.0, 1.0, 1.0)
view.GetRenderWindow().SetSize(400, 300)
chart = vtk.vtkChartXY()
chart.SetShowLegend(True)
view.GetScene().AddItem(chart)
# Create a table with some points in it
arrX = vtk.vtkFloatArray()
arrX.SetName("XAxis")
arrC = vtk.vtkFloatArray()
arrC.SetName("Cosine")
arrS = vtk.vtkFloatArray()
arrS.SetName("Sine")
arrS2 = vtk.vtkFloatArray()
arrS2.SetName("Tan")
numPoints = 40
inc = 7.5 / (numPoints-1)
for i in range(numPoints):
arrX.InsertNextValue(i * inc)
arrC.InsertNextValue(math.cos(i * inc) + 0.0)
arrS.InsertNextValue(math.sin(i * inc) + 0.0)
arrS2.InsertNextValue(math.tan(i * inc) + 0.5)
table = vtk.vtkTable()
table.AddColumn(arrX)
table.AddColumn(arrC)
table.AddColumn(arrS)
table.AddColumn(arrS2)
# Generate a black-to-red lookup table with fixed alpha
lut = vtk.vtkLookupTable()
lut.SetValueRange(0.2, 1.0)
lut.SetSaturationRange(1, 1)
lut.SetHueRange(0,0)
lut.SetRampToLinear()
lut.SetRange(-1,1)
lut.SetAlpha(0.75)
lut.Build()
# Generate a black-to-blue lookup table with alpha range
lut2 = vtk.vtkLookupTable()
lut2.SetValueRange(0.2, 1.0)
lut2.SetSaturationRange(1, 1)
lut2.SetHueRange(0.6667, 0.6667)
lut2.SetAlphaRange(0.4, 0.8)
lut2.SetRampToLinear()
lut2.SetRange(-1,1)
lut2.Build()
# Add multiple line plots, setting the colors etc
points0 = chart.AddPlot(vtk.vtkChart.POINTS)
points0.SetInputData(table, 0, 1)
points0.SetColor(0, 0, 0, 255)
points0.SetWidth(1.0)
points0.SetMarkerStyle(vtk.vtkPlotPoints.CROSS)
points1 = chart.AddPlot(vtk.vtkChart.POINTS)
points1.SetInputData(table, 0, 2)
points1.SetColor(0, 0, 0, 255)
points1.SetMarkerStyle(vtk.vtkPlotPoints.DIAMOND)
points1.SetScalarVisibility(1)
points1.SetLookupTable(lut)
points1.SelectColorArray(1)
points2 = chart.AddPlot(vtk.vtkChart.POINTS)
points2.SetInputData(table, 0, 3)
points2.SetColor(0, 0, 0, 255)
points2.ScalarVisibilityOn()
points2.SetLookupTable(lut2)
points2.SelectColorArray("Cosine")
points2.SetWidth(4.0)
view.GetRenderWindow().SetMultiSamples(0)
view.GetRenderWindow().Render()
img_file = "TestScatterPlotColors.png"
vtk.test.Testing.compareImage(view.GetRenderWindow(),vtk.test.Testing.getAbsImagePath(img_file),threshold=25)
vtk.test.Testing.interact()
def __init__(self, data_source, input_link=None, highlight_link=None):
"""Parallel coordinates view constructor needs a valid DataSource plus
and external annotation link (from the icicle view).
"""
self.ds = data_source
self.input_link = None
if input_link is not None:
self.SetInputAnnotationLink(input_link)
# Set up a 2D scene, add an XY chart to it
# Relies on changes to VTK (drawimage branch) that allow DrawImage() scaling factor
self.chartView = vtk.vtkContextView()
self.chartView.GetRenderer().SetBackground(1.0, 1.0, 1.0)
# vtkChart::
# PAN
# ZOOM
# SELECT
# vtkContextMouseEvent:
# enum
# { NO_BUTTON = 0, LEFT_BUTTON = 1, MIDDLE_BUTTON = 2, RIGHT_BUTTON = 4 }
self.chart = vtkvtg.vtkMyChartXY()
# self.chart.SetMouseMoveSelectZoomButtons(2,1,4)
self.chart.SetActionToButton(vtk.vtkChart.PAN, 2)
self.chart.SetActionToButton(vtk.vtkChart.ZOOM, 4)
self.chart.SetActionToButton(vtk.vtkChart.SELECT, 1)
self.chartView.GetScene().AddItem(self.chart)
self.axisView = vtk.vtkContextView()
self.axisView.GetRenderer().SetBackground(1.0, 1.0, 1.0)
self.ai = vtkvtg.vtkAxisImageItem()
self.axisView.GetScene().AddItem(self.ai)
# Create a BrBg7 lookup table
self.lut = self.ds.GetDivergingLUT('BrBg')
self.ai.SetAxisImagesLookupTable(self.lut)
# Create a greyscale lookup table
self.lutBW = self.ds.GetGrayscaleLUT('gray')
self.ai.SetCenterImageLookupTable(self.lutBW)
self.highlight_link = None
if highlight_link is not None:
self.SetHighlightAnnotationLink(highlight_link)
# Set up callback to listen for changes in IcicleView selections
self.highlight_link.AddObserver("AnnotationChangedEvent", self.HighlightSelectionCallback)
# Set up annotation link which will carry indices to parallel coordinates chart
# for highlighting outside selections (e.g. back from image_flow)
# This needs to carry indices, while image_flow link outputs pedigree ids
# so conversion happens in HighlightSelectionCallback
self.highlight_link_idxs = vtk.vtkAnnotationLink()
self.highlight_link_idxs.GetCurrentSelection().GetNode(0).SetFieldType(1) # Point
self.highlight_link_idxs.GetCurrentSelection().GetNode(0).SetContentType(4) # 2 = PedigreeIds, 4 = Indices
self.chart.SetHighlightLink(self.highlight_link_idxs)
# Create a annotation link to access selection in parallel coordinates view
self.link = vtk.vtkAnnotationLink()
# If you don't set the FieldType explicitly it ends up as UNKNOWN (as of 21 Feb 2010)
# See vtkSelectionNode doc for field and content type enum values
self.link.GetCurrentSelection().GetNode(0).SetFieldType(1) # Point
# The chart seems to force INDEX selection, so I'm using vtkConvertSelection below to get
# out PedigreeIds...
self.link.GetCurrentSelection().GetNode(0).SetContentType(4) # 2 = PedigreeIds, 4 = Indices
# Connect the annotation link to the parallel coordinates representation
self.chart.SetAnnotationLink(self.link)
# Set up callback for ID -> Pedigree ID conversion & copy to output link
# self.link.AddObserver("AnnotationChangedEvent", self.PCoordsSelectionCallback)
# Set up output annotation link which will carry pedigree ids to image flow view
# Type and field will be set during conversion to pedigree ids in PCoordsSelectionCallback
# self.output_link = vtk.vtkAnnotationLink()
# self.chartView.ResetCamera()
# self.chartView.Render()
# Want to keep track of whether the node coming in on the input_link
# is new or not
self.input_link_idx = 0
# TODO: Should check the menu to see which is checked so default is
# set by GUI
self.SetColorByArray("None")
def om_display_vtk(f,d = 0,n = 0):
"""
This function displays a VTK::vtk file generated with OpenMEEG.
Such a file defines a polydata, containing points and triangles of a single
mesh. Most often a EEG helmet mesh and associated leadfield.
"""
welcome = """Welcome\n\n
Move the slider to see all sources (columns of the input matrix)\n
Press 'r': To select points/cells.\n"""
# This callback function does updates the mappers for where n is the slider value
def CleanPickData(object, event):
ren.RemoveActor(selactor)
PickData(object, event, selactor, 0, view, text_init)
def SelectSource(object, event): # object will be the slider2D
slidervalue = int(round(object.GetRepresentation().GetValue()))
mapper.GetInput().GetPointData().SetActiveScalars("Potentials-"+str(slidervalue))
renWin.SetWindowName(renWin.GetWindowName()[0:(renWin.GetWindowName().find('-')+1)]+str(slidervalue))
UpdateColorBar(colorBar, mapper)
# A window with an interactor
renWin = vtk.vtkRenderWindow()
renWin.SetSize(600, 600)
iren = vtk.vtkRenderWindowInteractor()
iren.SetRenderWindow(renWin)
iren.SetInteractorStyle(vtk.vtkInteractorStyleRubberBandPick())
# A picker (to pick points/cells)
picker = vtk.vtkRenderedAreaPicker()
iren.SetPicker(picker)
# Read the input file
reader = vtk.vtkPolyDataReader()
reader.SetFileName(f); reader.Update()
poly = reader.GetOutput()
renWin.SetWindowName(f+' Potentials-'+str(n))
# determine the number of sources
nb_sources = 0
for i in range(poly.GetPointData().GetNumberOfArrays()):
if poly.GetPointData().GetGlobalIds('Potentials-'+str(i)):
nb_sources += 1
if nb_sources == 0: #the file doesn't provide potentials
if not d.__class__ == int:
assert(d.shape[0] == poly.GetNumberOfPoints())
nb_sources = d.shape[1]
pot = [vtk.vtkDoubleArray() for j in range(d.shape[1])]
for j in range(d.shape[1]):
pot[j].SetName('Potentials-'+str(j))
for i in range(d.shape[0]):
pot[j].InsertNextValue(d[i,j])
poly.GetPointData().AddArray(pot[j])
poly.Update()
if not poly.GetPointData().GetGlobalIds('Indices'):
ind = vtk.vtkUnsignedIntArray()
ind.SetName('Indices')
for i in range(poly.GetNumberOfPoints()):
ind.InsertNextValue(i)
poly.GetPointData().AddArray(ind)
poly.GetPointData().SetActiveScalars('Potentials-'+str(n))
mapper = vtk.vtkPolyDataMapper()
colorBar = vtk.vtkScalarBarActor()
actor = vtk.vtkActor()
ren = vtk.vtkRenderer()
mapper.SetInput(poly)
mapper.SetScalarModeToUsePointData(); mapper.Update()
actor.SetMapper(mapper)
ren.AddActor(actor)
if nb_sources:
ren.AddActor2D(colorBar)
UpdateColorBar(colorBar, mapper)
renWin.AddRenderer(ren)
renWin.Render()
if nb_sources > 1:
# Slider
sliderWidget = vtk.vtkSliderWidget()
slider = vtk.vtkSliderRepresentation2D(); slider.SetMaximumValue(nb_sources-1)
slider.SetValue(n); slider.SetEndCapLength(0.01); slider.SetLabelFormat('%1.0f')
slider.SetSliderWidth(0.05); slider.SetSliderLength(1./nb_sources)
slider.GetPoint1Coordinate().SetCoordinateSystemToNormalizedViewport()
slider.GetPoint1Coordinate().SetValue(.0, 0.02)
slider.GetPoint2Coordinate().SetCoordinateSystemToNormalizedViewport()
slider.GetPoint2Coordinate().SetValue(1., 0.02);
sliderWidget.SetInteractor(iren); sliderWidget.SetRepresentation(slider);
sliderWidget.SetAnimationModeToAnimate(); sliderWidget.EnabledOn();
sliderWidget.AddObserver("InteractionEvent", SelectSource);
# Selection
selactor = vtk.vtkActor()
view = vtk.vtkContextView(); view.GetRenderWindow().SetWindowName('Plot')
view.GetRenderWindow().SetPosition(600, 0); view.GetRenderWindow().SetSize(600, 600)
# Welcome text
text_init = vtk.vtkTextActor()
text_init.SetPosition(10, 300)
text_init.SetInput(welcome)
text_init.GetTextProperty().SetColor(1.0, 0.0, 0.0)
view.GetRenderer().AddActor2D(text_init)
view.GetInteractor().Initialize()
iren.AddObserver(vtk.vtkCommand.EndPickEvent,CleanPickData)
iren.Initialize()
iren.Start()
def initialize(self, VTKWebApp, args):
# Create default pipeline (Only once for all the session)
if not VTKWebApp.view:
# create our visualization item
treeHeatmapItem = vtk.vtkTreeHeatmapItem()
# get our input data, read it into VTK format,
# and load it into our visualization item.
if args.treeName:
r = requests.get(
"%s/arborapi/projmgr/project/%s/PhyloTree/%s/phyloxml" % (args.baseURL, args.projectName, args.treeName))
phyloxmlTree = r.text
tree = vtk_arbor_utils.PhyloXMLToVTKTree(phyloxmlTree)
treeHeatmapItem.SetTree(tree)
if tree.GetVertexData().GetArray("property.differences"):
treeHeatmapItem.GetDendrogram().SetColorArray("property.differences")
treeHeatmapItem.GetDendrogram().SetLineWidth(2.0)
if args.tableName:
r = requests.get(
"%s/arborapi/projmgr/project/%s/CharacterMatrix/%s/csv" % (args.baseURL, args.projectName, args.tableName))
csvTable = r.text
table = vtk_arbor_utils.CSVToVTKTable(csvTable)
treeHeatmapItem.SetTable(table)
# setup the window
view = vtk.vtkContextView()
view.GetRenderWindow().SetSize(int(args.width), int(args.height))
view.GetRenderer().SetBackground(1,1,1)
iren = view.GetInteractor()
iren.SetRenderWindow(view.GetRenderWindow())
transformItem = vtk.vtkContextTransform()
transformItem.AddItem(treeHeatmapItem)
transformItem.SetInteractive(1)
view.GetScene().AddItem(transformItem)
view.GetRenderWindow().SetMultiSamples(0)
iren.Initialize()
view.GetRenderWindow().Render()
# adjust zoom so the item nicely fills the screen
itemSize = [0, 0]
treeHeatmapItem.GetSize(itemSize)
itemSize.append(0)
transformItem.GetTransform().MultiplyPoint(itemSize, itemSize)
newWidth = view.GetScene().GetSceneWidth()
newHeight = view.GetScene().GetSceneHeight()
pageWidth = newWidth
pageHeight = newHeight
sx = pageWidth / itemSize[0]
sy = pageHeight / itemSize[1]
if sy < sx:
scale = sy;
else:
scale = sx;
if scale > 1:
scale = scale * 0.5
else:
scale = scale * 0.9
transformItem.Scale(scale, scale)
# center the item within the screen
itemCenter = [0, 0]
treeHeatmapItem.GetCenter(itemCenter)
itemCenter.append(0)
centerPt = vtk.vtkPoints2D()
centerPt.InsertNextPoint(newWidth / 2.0, newHeight / 2.0)
transformItem.GetTransform().InverseTransformPoints(centerPt, centerPt)
sceneCenter = [0, 0]
centerPt.GetPoint(0, sceneCenter)
dx = -1 * (itemCenter[0] - sceneCenter[0])
dy = -1 * (itemCenter[1] - sceneCenter[1])
transformItem.Translate(dx, dy)
# VTK Web application specific
VTKWebApp.view = view.GetRenderWindow()
self.Application.GetObjectIdMap().SetActiveObject("VIEW", view.GetRenderWindow())
def __init__(self, parent = None):
# Number of slider divisions per integer value
self.divs = 10
# self.rot_method = 'alt_axis'
self.rot_method = '111'
# self.rot_method = 'simple'
self.axis_rescale = False
QtGui.QMainWindow.__init__(self, parent)
self.ui = Ui_MainWindow()
# Set up a 2D scene, add an XY chart to it
self.view = vtk.vtkContextView()
self.view.GetRenderer().SetBackground(1.0, 1.0, 1.0)
self.ui.setupUi(self, self.view.GetRenderWindow())
if self.rot_method == 'alt_axis':
self.ui.comboBox.setCurrentIndex(0)
elif self.rot_method == '111':
self.ui.comboBox.setCurrentIndex(1)
else:
self.ui.comboBox.setCurrentIndex(2)
style = vtk.vtkInteractorStyleRubberBand2D()
self.view.GetInteractor().SetInteractorStyle(style)
self.view.GetScene().SetInteractorStyle(style)
# Need this additional command (plus above set style) for this class
# self.view.SetInteractionModeTo2D()
self.chart = vtk.vtkChartXY()
self.chart.SetShowLegend(False)
# Create a annotation link to access selection in parallel coordinates view
annotationLink = vtk.vtkAnnotationLink()
# If you don't set the FieldType explicitly it ends up as UNKNOWN (as of 21 Feb 2010)
# See vtkSelectionNode doc for field and content type enum values
annotationLink.GetCurrentSelection().GetNode(0).SetFieldType(1) # Point
annotationLink.GetCurrentSelection().GetNode(0).SetContentType(4) # Indices
# Connect the annotation link to the parallel coordinates representation
self.chart.SetAnnotationLink(annotationLink)
self.view.GetScene().AddItem(self.chart)
# Set up callback to update 3d render window when selections are changed in
# parallel coordinates view
annotationLink.AddObserver("AnnotationChangedEvent", self.selectionCallback)
QtCore.QObject.connect(self.ui.actionExit, QtCore.SIGNAL("triggered()"), self.fileExit)
QtCore.QObject.connect(self.ui.actionOpen, QtCore.SIGNAL("triggered()"), self.LoadData)
QtCore.QObject.connect(self.ui.horizontalSlider, QtCore.SIGNAL("valueChanged(int)"), self.columnUpdate)
QtCore.QObject.connect(self.ui.comboBox, QtCore.SIGNAL("currentIndexChanged(int)"), self.rotMethodChanged)
self.LoadData()
self.view.ResetCamera()
self.ui.vtkWidget.GetRenderWindow().Render()
self.view.GetInteractor().Start()
def testStackedPlot(self):
"Test if stacked plots can be built with python"
# Set up a 2D scene, add an XY chart to it
view = vtk.vtkContextView()
view.GetRenderer().SetBackground(1.0,1.0,1.0)
view.GetRenderWindow().SetSize(400,300)
chart = vtk.vtkChartXY()
view.GetScene().AddItem(chart)
# Create a table with some points in it
table = vtk.vtkTable()
arrMonthLabels = vtk.vtkStringArray()
arrMonthPositions = vtk.vtkDoubleArray()
arrMonth = vtk.vtkIntArray()
arrMonth.SetName("Month")
arrBooks = vtk.vtkIntArray()
arrBooks.SetName("Books")
arrNew = vtk.vtkIntArray()
arrNew.SetName("New / Popular")
arrPeriodical = vtk.vtkIntArray()
arrPeriodical.SetName("Periodical")
arrAudiobook = vtk.vtkIntArray()
arrAudiobook.SetName("Audiobook")
arrVideo = vtk.vtkIntArray()
arrVideo.SetName("Video")
numMonths = 12
for i in range(0,numMonths):
arrMonthLabels.InsertNextValue(month_labels[i])
arrMonthPositions.InsertNextValue(float(i));
arrMonth.InsertNextValue(i)
arrBooks.InsertNextValue(book[i])
arrNew.InsertNextValue(new_popular[i])
arrPeriodical.InsertNextValue(periodical[i])
arrAudiobook.InsertNextValue(audiobook[i])
arrVideo.InsertNextValue(video[i])
table.AddColumn(arrMonth)
table.AddColumn(arrBooks)
table.AddColumn(arrNew)
table.AddColumn(arrPeriodical)
table.AddColumn(arrAudiobook)
table.AddColumn(arrVideo)
# Now add the line plots with appropriate colors
chart.GetAxis(1).SetTickLabels(arrMonthLabels)
chart.GetAxis(1).SetTickPositions(arrMonthPositions)
chart.GetAxis(1).SetMaximum(11)
# Books
line = chart.AddPlot(3)
line.SetInput(table,0,1)
line.SetColor(120,120,254,255)
# New / Popular
line = chart.AddPlot(3)
line.SetInput(table,0,2)
line.SetColor(254,118,118,255)
# Periodical
line = chart.AddPlot(3)
line.SetInput(table,0,3)
line.SetColor(170,170,254,255)
# Audiobook
line = chart.AddPlot(3)
line.SetInput(table,0,4)
line.SetColor(91,91,254,255)
# Video
line = chart.AddPlot(3)
line.SetInput(table,0,5)
line.SetColor(253,158,158,255)
view.GetRenderWindow().SetMultiSamples(0)
#view.GetRenderWindow().GetInteractor().Start()
img_file = "TestStackedPlot.png"
img_file2 = "TestStackedPlot0Hidden.png"
vtk.test.Testing.compareImage(view.GetRenderWindow(),vtk.test.Testing.getAbsImagePath(img_file),threshold=25)
vtk.test.Testing.interact()
chart.GetPlot(0).SetVisible(False)
vtk.test.Testing.compareImage(view.GetRenderWindow(),vtk.test.Testing.getAbsImagePath(img_file2),threshold=25)
vtk.test.Testing.interact()
def om_display_vtp(f, n = 0):
"""
This function displays a VTK::vtp file generated with OpenMEEG.
Such a file defines a polydata, containing points and triangles of several
meshes which are labelled through a vtkAbstractArray (Strings) associated to
the cells (mesh names).
Results of the forward problem (or a cortical mapping) can be seen thanks to
arrays associated to points and cells (respectively potentials and normals
currents).
"""
welcome = """Welcome\n\n
Switch the button: To either see Potentials (on points) or Currents (on triangles)\n
Move the slider to see all sources (columns of the input matrix)\n
Press 'r': To select points/cells.\n"""
# This callback function does updates the mappers for where n is the slider value
def CleanPickData(object, event):
for i in range(4):
rens[i].RemoveActor(selactor)
if buttonWidget.GetRepresentation().GetState():
PickData(object, event, selactor, 1, view, text_init)
else:
PickData(object, event, selactor, 0, view, text_init)
def SelectSource(object, event): # object will be the slider2D
slidervalue = int(round(object.GetRepresentation().GetValue()))
for i in range(4):
mappers[i].GetInput().GetPointData().SetActiveScalars("Potentials-"+str(slidervalue))
mappers[i].GetInput().GetCellData().SetActiveScalars("Currents-"+str(slidervalue))
renWin.SetWindowName(renWin.GetWindowName()[0:(renWin.GetWindowName().find('-')+1)]+str(slidervalue))
UpdateColorBar(colorBars[i], mappers[i])
# This callback function does updates the Scalar Mode To Use
def SelectMode(object, event):
# object will be the buttonWidget
for i in range(4):
if (object.GetRepresentation().GetState()):
mappers[i].SetScalarModeToUseCellData()
renWin.SetWindowName(renWin.GetWindowName().replace('Potentials','Currents'))
else:
mappers[i].SetScalarModeToUsePointData()
renWin.SetWindowName(renWin.GetWindowName().replace('Currents','Potentials'))
UpdateColorBar(colorBars[i], mappers[i])
# A window with an interactor
renWin = vtk.vtkRenderWindow()
renWin.SetSize(600, 600)
iren = vtk.vtkRenderWindowInteractor()
iren.SetRenderWindow(renWin)
iren.SetInteractorStyle(vtk.vtkInteractorStyleRubberBandPick())
# A picker (to pick points/cells)
picker = vtk.vtkRenderedAreaPicker()
iren.SetPicker(picker)
# Read the input file
reader = vtk.vtkXMLPolyDataReader()
reader.SetFileName(f); reader.Update()
poly = reader.GetOutput()
renWin.SetWindowName(f+' Potentials-'+str(n))
# determine the number of sources
nb_sources = 0
for i in range(poly.GetPointData().GetNumberOfArrays()):
if poly.GetPointData().GetGlobalIds('Potentials-'+str(i)):
nb_sources += 1
if n < nb_sources:
poly.GetPointData().SetActiveScalars('Potentials-'+str(n))
poly.GetCellData().SetActiveScalars('Currents-'+str(n))
# Get the mesh names
cell_labels = poly.GetCellData().GetAbstractArray(0)
assert(cell_labels.GetName()=='Names')
s = set(); nb_meshes = 0; cell_ids = list()
for i in range(cell_labels.GetNumberOfValues()):
s.add(cell_labels.GetValue(i))
if len(s)>nb_meshes:
# if a label is added, store the ID for the connectivity filter
cell_ids.append(i)
nb_meshes += 1
# Number of meshes
assert(nb_meshes<=4)
# Multiple viewports: 4
xmins = [0,.5,0,.5]; xmaxs = [0.5,1,0.5,1]; ymins = [0,0,.5,.5]; ymaxs = [0.5,0.5,1,1]
mappers = [vtk.vtkPolyDataMapper() for i in range(4)]
colorBars = [vtk.vtkScalarBarActor() for i in range(4)]
actors = [vtk.vtkActor() for i in range(4)]
rens = [vtk.vtkRenderer() for i in range(4)]
for i in range(4):
rens[i].SetViewport(xmins[i],ymins[i],xmaxs[i],ymaxs[i]);
# Display the meshes
if (i < nb_meshes):
# Create a connectivity filter based on cell seeded region (to display
# only one mesh per viewport)
conn = vtk.vtkPolyDataConnectivityFilter()
conn.SetInput(poly)
conn.SetExtractionModeToCellSeededRegions()
conn.AddSeed(cell_ids[i]); conn.Update()
actor_meshname = vtk.vtkTextActor();
actor_meshname.SetInput(cell_labels.GetValue(cell_ids[i]));
actor_meshname.GetPositionCoordinate().SetCoordinateSystemToNormalizedViewport();
actor_meshname.SetPosition(0.5, 0.85); tprop = actor_meshname.GetTextProperty(); tprop.SetFontSize(30)
tprop.SetFontFamilyToArial(); tprop.SetColor(1, 1, 1); tprop.SetJustificationToCentered()
mappers[i].SetInputConnection(conn.GetOutputPort())
mappers[i].SetScalarModeToUsePointData(); mappers[i].Update()
if nb_sources:
rens[i].AddActor2D(colorBars[i])
actors[i].SetMapper(mappers[i])
rens[i].AddActor2D(actor_meshname)
rens[i].AddActor(actors[i])
if (i == 0):
cam = rens[i].GetActiveCamera()
rens[i].ResetCamera()
else:
# Create a plane to cut
plane = vtk.vtkPlane(); plane.SetOrigin(0,0,0); plane.SetNormal(1,0,0);
# Create cutter
extract = vtk.vtkExtractPolyDataGeometry(); extract.SetInput(poly)
extract.SetImplicitFunction(plane); extract.ExtractBoundaryCellsOff()
mappers[i].SetInputConnection(extract.GetOutputPort())
mappers[i].SetScalarModeToUsePointData(); mappers[i].Update()
# Create plane actor
actors[i].SetMapper(mappers[i])
rens[i].AddActor(actors[i])
rens[i].SetActiveCamera(cam)
if nb_sources:
UpdateColorBar(colorBars[i], mappers[i])
renWin.AddRenderer(rens[i])
renWin.Render();
if nb_sources > 1:
# Slider
sliderWidget = vtk.vtkSliderWidget()
slider = vtk.vtkSliderRepresentation2D(); slider.SetMaximumValue(nb_sources-1)
slider.SetValue(n); slider.SetEndCapLength(0.01); slider.SetLabelFormat('%1.0f')
slider.SetSliderWidth(0.05); slider.SetSliderLength(1./nb_sources)
slider.GetPoint1Coordinate().SetCoordinateSystemToNormalizedViewport()
slider.GetPoint1Coordinate().SetValue(.0 ,0.02)
slider.GetPoint2Coordinate().SetCoordinateSystemToNormalizedViewport()
slider.GetPoint2Coordinate().SetValue(1. ,0.02);
sliderWidget.SetInteractor(iren); sliderWidget.SetRepresentation(slider);
sliderWidget.SetAnimationModeToAnimate(); sliderWidget.EnabledOn();
sliderWidget.AddObserver("InteractionEvent", SelectSource);
if not nb_sources == 0:
# The button for choosing Potentials/Currents
buttonWidget = vtk.vtkButtonWidget()
button = vtk.vtkTexturedButtonRepresentation2D(); button.SetNumberOfStates(2)
tex1r = vtk.vtkImageData(); tex2r = vtk.vtkImageData();
prop = vtk.vtkTextProperty(); prop.SetFontSize(24);
prop.SetColor(1,0,0); prop.SetBold(2); prop.SetShadow(2);
str2im = vtk.vtkFreeTypeStringToImage()
str2im.RenderString(prop,'Potentials',tex1r)
str2im.RenderString(prop,'Currents',tex2r)
button.SetButtonTexture(0, tex1r)
button.SetButtonTexture(1, tex2r)
buttonWidget.SetInteractor(iren);
buttonWidget.SetRepresentation(button);
button.SetPlaceFactor(1);
button.PlaceWidget([0., 100, 50, 500, 0, 0]);
buttonWidget.On()
buttonWidget.AddObserver(vtk.vtkCommand.StateChangedEvent,SelectMode);
# Selection
selactor = vtk.vtkActor()
view = vtk.vtkContextView(); view.GetRenderWindow().SetWindowName('Plot')
view.GetRenderWindow().SetPosition(600, 0); view.GetRenderWindow().SetSize(600, 600)
# Welcome text
text_init = vtk.vtkTextActor()
text_init.SetPosition(10, 300)
text_init.SetInput(welcome)
text_init.GetTextProperty().SetColor(1.0, 0.0, 0.0)
view.GetRenderer().AddActor2D(text_init)
view.GetInteractor().Initialize()
iren.AddObserver(vtk.vtkCommand.EndPickEvent,CleanPickData)
iren.Initialize()
iren.Start()
def main():
colors = vtk.vtkNamedColors()
filename = get_program_parameters()
# Create the reader for the data.
print('Loading ', filename)
reader = vtk.vtkUnstructuredGridReader()
reader.SetFileName(filename)
reader.Update()
extractEdges = vtk.vtkExtractEdges()
extractEdges.SetInputConnection(reader.GetOutputPort())
legendValues = vtk.vtkVariantArray()
it = reader.GetOutput().NewCellIterator()
it.InitTraversal()
while not it.IsDoneWithTraversal():
cell = vtk.vtkGenericCell()
it.GetCell(cell)
cellName = vtk.vtkCellTypes.GetClassNameFromTypeId(cell.GetCellType())
print(cellName, 'NumberOfPoints:', cell.GetNumberOfPoints(),
'CellDimension:', cell.GetCellDimension())
legendValues.InsertNextValue(cellName)
it.GoToNextCell()
# Tube the edges
tubes = vtk.vtkTubeFilter()
tubes.SetInputConnection(extractEdges.GetOutputPort())
tubes.SetRadius(.05)
tubes.SetNumberOfSides(21)
edgeMapper = vtk.vtkPolyDataMapper()
edgeMapper.SetInputConnection(tubes.GetOutputPort())
edgeMapper.SetScalarRange(0, 26)
edgeActor = vtk.vtkActor()
edgeActor.SetMapper(edgeMapper)
edgeActor.GetProperty().SetSpecular(0.6)
edgeActor.GetProperty().SetSpecularPower(30)
# Glyph the points
sphere = vtk.vtkSphereSource()
sphere.SetPhiResolution(21)
sphere.SetThetaResolution(21)
sphere.SetRadius(0.08)
pointMapper = vtk.vtkGlyph3DMapper()
pointMapper.SetInputConnection(reader.GetOutputPort())
pointMapper.SetSourceConnection(sphere.GetOutputPort())
pointMapper.ScalingOff()
pointMapper.ScalarVisibilityOff()
pointActor = vtk.vtkActor()
pointActor.SetMapper(pointMapper)
pointActor.GetProperty().SetDiffuseColor(colors.GetColor3d('Banana'))
pointActor.GetProperty().SetSpecular(0.6)
pointActor.GetProperty().SetSpecularColor(1.0, 1.0, 1.0)
pointActor.GetProperty().SetSpecularPower(100)
# Label the points
labelMapper = vtk.vtkLabeledDataMapper()
labelMapper.SetInputConnection(reader.GetOutputPort())
labelActor = vtk.vtkActor2D()
labelActor.SetMapper(labelMapper)
# The geometry
geometryShrink = vtk.vtkShrinkFilter()
geometryShrink.SetInputConnection(reader.GetOutputPort())
geometryShrink.SetShrinkFactor(0.8)
# NOTE: We must copy the originalLut because the CategoricalLegend
# needs an indexed lookup table, but the geometryMapper uses a
# non-index lookup table
categoricalLut = vtk.vtkLookupTable()
originalLut = reader.GetOutput().GetCellData().GetScalars().GetLookupTable(
)
categoricalLut.DeepCopy(originalLut)
categoricalLut.IndexedLookupOn()
geometryMapper = vtk.vtkDataSetMapper()
geometryMapper.SetInputConnection(geometryShrink.GetOutputPort())
geometryMapper.SetScalarModeToUseCellData()
geometryMapper.SetScalarRange(0, 11)
geometryActor = vtk.vtkActor()
geometryActor.SetMapper(geometryMapper)
geometryActor.GetProperty().SetLineWidth(3)
geometryActor.GetProperty().EdgeVisibilityOn()
geometryActor.GetProperty().SetEdgeColor(0, 0, 0)
# Legend
for v in range(0, legendValues.GetNumberOfTuples()):
categoricalLut.SetAnnotation(legendValues.GetValue(v),
legendValues.GetValue(v).ToString())
legend = vtk.vtkCategoryLegend()
legend.SetScalarsToColors(categoricalLut)
legend.SetValues(legendValues)
legend.SetTitle('Cell Type')
legend.GetBrush().SetColor(colors.GetColor4ub('Silver'))
placeLegend = vtk.vtkContextTransform()
placeLegend.AddItem(legend)
placeLegend.Translate(640 - 20, 480 - 12 * 16)
contextView = vtk.vtkContextView()
contextView.GetScene().AddItem(placeLegend)
renderer = contextView.GetRenderer()
renderWindow = contextView.GetRenderWindow()
renderWindowInteractor = vtk.vtkRenderWindowInteractor()
renderWindowInteractor.SetRenderWindow(renderWindow)
renderer.AddActor(geometryActor)
renderer.AddActor(labelActor)
renderer.AddActor(edgeActor)
renderer.AddActor(pointActor)
renderer.SetBackground(colors.GetColor3d('SlateGray'))
aCamera = vtk.vtkCamera()
aCamera.Azimuth(-40.0)
aCamera.Elevation(50.0)
renderer.SetActiveCamera(aCamera)
renderer.ResetCamera()
renderWindow.SetSize(640, 480)
renderWindow.SetWindowName('ReadLegacyUnstructuredGrid')
renderWindow.Render()
renderWindowInteractor.Start()
def __init__(self, parent = None):
QtGui.QMainWindow.__init__(self, parent)
self.ui = Ui_MainWindow()
self.renWinList = []
# data_file = askopenfilename()
data_file = '/Users/emonson/Data/Fodava/EMoGWDataSets/mnist1_5c_20100324.mat'
# self.openFilesDefaultPath = QtCore.QDir.homePath()
# data_file = QtGui.QFileDialog.getOpenFileName(self,
# "Load Saved Matlab File",
# self.openFilesDefaultPath,
# "All Files (*);;Matlab Files (*.mat)")
# DataSource loads .mat file and can generate data from it for other views
self.ds = DataSource(str(data_file))
# All view classes have access to an instance of that data source for internal queries
# Note that the only view which will pull and display data right away is the icicle view
# the other views need to be able to initialize without any data and only pull and show
# upon the first AnnotationChanged event...
# View #0 -- Icicle View
# Set up a 2D scene, add an XY chart to it
self.chartView = vtk.vtkContextView()
self.chartView.GetRenderer().SetBackground(1.0, 1.0, 1.0)
self.renWinList.append(self.chartView.GetRenderWindow())
self.chart = vtkvtg.vtkMyChartXY()
self.chartView.GetScene().AddItem(self.chart)
# View #1 -- AxisImageView
self.axisView = vtk.vtkContextView()
self.axisView.GetRenderer().SetBackground(1.0, 1.0, 1.0)
self.renWinList.append(self.axisView.GetRenderWindow())
self.ai = vtkvtg.vtkAxisImageItem()
self.axisView.GetScene().AddItem(self.ai)
# Set up all the render windows in the GUI
self.ui.setupUi(self, self.renWinList)
# Now need to get all the interactors working properly
# XY
style0 = vtk.vtkInteractorStyleRubberBand2D()
self.chartView.GetInteractor().SetInteractorStyle(style0)
self.chartView.GetScene().SetInteractorStyle(style0)
# Axis images
style1 = vtk.vtkInteractorStyleRubberBand2D()
self.axisView.GetInteractor().SetInteractorStyle(style1)
self.axisView.GetScene().SetInteractorStyle(style1)
# Set sizes for veritcal splitters
self.ui.splitter.setSizes([200,400])
# Connect signals and slots
QtCore.QObject.connect(self.ui.actionExit, QtCore.SIGNAL("triggered()"), self.fileExit)
# CORE setting up chart and axis images
test_id = 68
self.table = self.ds.GetNodeOneScaleCoeffTable(test_id)
line1 = vtkvtg.vtkMyPlotPoints()
# line1.DebugOn()
self.chart.AddPlot(line1) # POINTS
line1.SetInput(self.table, 0, 1)
line1.SetMarkerStyle(2)
line1.SetColor(0, 0, 0, 255)
# Tooltip image stack will now be owned by the tooltip, so need to do that differently...
id_list = self.ds.PIN[test_id]
image_stack = self.ds.GetProjectedImages(id_list)
self.chart.SetTooltipImageStack(image_stack)
self.chart.SetTooltipShowImage(True)
# self.chart.SetTooltipImageScalingFactor(2.0)
self.chart.SetTooltipImageTargetSize(40)
axis_images = self.ds.GetNodeBasisImages(test_id)
center_image = self.ds.GetNodeCenterImage(test_id)
self.ai.SetAxisImagesHorizontal()
self.ai.SetChartXY(self.chart)
self.ai.SetChartXYView(self.chartView)
self.ai.SetAxisImageStack(axis_images)
self.ai.SetCenterImage(center_image)
# Set up annotation link which will carry indices to parallel coordinates chart
# for highlighting outside selections (e.g. back from image_flow)
# This needs to carry indices, while image_flow link outputs pedigree ids
# so conversion happens in HighlightSelectionCallback
# data_col_idxs = vtk.vtkAnnotationLink()
# data_col_idxs.GetCurrentSelection().GetNode(0).SetFieldType(1) # Point
# data_col_idxs.GetCurrentSelection().GetNode(0).SetContentType(4) # 2 = PedigreeIds, 4 = Indices
# self.chart.SetDataColumnsLink(data_col_idxs)
# self.ai.SetDataColumnsLink(data_col_idxs)
# Create a annotation link to access selection in XY chart
annotationLink = vtk.vtkAnnotationLink()
annotationLink.GetCurrentSelection().GetNode(0).SetFieldType(1) # Point
annotationLink.GetCurrentSelection().GetNode(0).SetContentType(4) # Indices
# Connect the annotation link to the parallel coordinates representation
self.chart.SetAnnotationLink(annotationLink)
self.chart.GetAnnotationLink().AddObserver("AnnotationChangedEvent", self.IcicleSelectionCallback)
# Set up annotation link which will carry indices to parallel coordinates chart
# for highlighting outside selections (e.g. back from image_flow)
# This needs to carry indices, while image_flow link outputs pedigree ids
# so conversion happens in HighlightSelectionCallback
highlight_link_idxs = vtk.vtkAnnotationLink()
highlight_link_idxs.GetCurrentSelection().GetNode(0).SetFieldType(1) # Point
highlight_link_idxs.GetCurrentSelection().GetNode(0).SetContentType(4) # 2 = PedigreeIds, 4 = Indices
self.chart.SetHighlightLink(highlight_link_idxs)
# Fill selection link with dummy IDs
id_array = N.array([0],dtype='int64')
id_list = VN.numpy_to_vtkIdTypeArray(id_array, deep=True)
highlight_link_idxs.GetCurrentSelection().GetNode(0).SetSelectionList(id_list)
highlight_link_idxs.InvokeEvent("AnnotationChangedEvent")
# self.updater = vtk.vtkViewUpdater()
# self.updater.AddAnnotationLink(data_col_idxs)
# self.updater.AddView(self.axisView)
# self.updater.AddView(self.chartView)
# col_array = N.array([0,1],dtype='int64')
# col_vtk = VN.numpy_to_vtkIdTypeArray(col_array, deep=True)
# data_col_idxs.GetCurrentSelection().GetNode(0).SetSelectionList(col_vtk)
# data_col_idxs.InvokeEvent("AnnotationChangedEvent")
self.chart.RecalculateBounds()
# Only need to Start() interactor for one view
# self.pc_class.GetView().GetInteractor().Start()
# Shouldn't have to do this render...
for rw in self.renWinList:
rw.Render()
nprecs = solv_data[:, 2].copy()
xtime = numpy_support.numpy_to_vtk(nxtime)
xiters = numpy_support.numpy_to_vtk(nxiters)
xprecs = numpy_support.numpy_to_vtk(nprecs)
xtime.SetName('time')
xiters.SetName('iterations')
xprecs.SetName('precisions')
table = vtk.vtkTable()
table.AddColumn(xtime)
table.AddColumn(xiters)
table.AddColumn(xprecs)
# table.Dump()
tview_iter = vtk.vtkContextView()
tview_prec = vtk.vtkContextView()
chart_iter = vtk.vtkChartXY()
chart_prec = vtk.vtkChartXY()
tview_iter.GetScene().AddItem(chart_iter)
tview_prec.GetScene().AddItem(chart_prec)
iter_plot = chart_iter.AddPlot(vtk.vtkChart.LINE)
iter_plot.SetLabel('Solver iterations')
iter_plot.GetXAxis().SetTitle('time')
iter_plot.GetYAxis().SetTitle('iterations')
prec_plot = chart_prec.AddPlot(vtk.vtkChart.LINE)
prec_plot.SetLabel('Solver precisions')
prec_plot.GetXAxis().SetTitle('time')
prec_plot.GetYAxis().SetTitle('precisions')
def testLinePlot(self):
"Test if colored parallel coordinates plots can be built with python"
# Set up a 2D scene, add a PC chart to it
view = vtk.vtkContextView()
view.GetRenderer().SetBackground(1.0, 1.0, 1.0)
view.GetRenderWindow().SetSize(600,300)
chart = vtk.vtkChartParallelCoordinates()
view.GetScene().AddItem(chart)
# Create a table with some points in it
arrX = vtk.vtkFloatArray()
arrX.SetName("XAxis")
arrC = vtk.vtkFloatArray()
arrC.SetName("Cosine")
arrS = vtk.vtkFloatArray()
arrS.SetName("Sine")
arrS2 = vtk.vtkFloatArray()
arrS2.SetName("Tan")
numPoints = 200
inc = 7.5 / (numPoints-1)
for i in range(numPoints):
arrX.InsertNextValue(i * inc)
arrC.InsertNextValue(math.cos(i * inc) + 0.0)
arrS.InsertNextValue(math.sin(i * inc) + 0.0)
arrS2.InsertNextValue(math.tan(i * inc) + 0.5)
table = vtk.vtkTable()
table.AddColumn(arrX)
table.AddColumn(arrC)
table.AddColumn(arrS)
table.AddColumn(arrS2)
# Create blue to gray to red lookup table
lut = vtk.vtkLookupTable()
lutNum = 256
lut.SetNumberOfTableValues(lutNum)
lut.Build()
ctf = vtk.vtkColorTransferFunction()
ctf.SetColorSpaceToDiverging()
cl = []
# Variant of Colorbrewer RdBu 5
cl.append([float(cc)/255.0 for cc in [202, 0, 32]])
cl.append([float(cc)/255.0 for cc in [244, 165, 130]])
cl.append([float(cc)/255.0 for cc in [140, 140, 140]])
cl.append([float(cc)/255.0 for cc in [146, 197, 222]])
cl.append([float(cc)/255.0 for cc in [5, 113, 176]])
vv = [float(xx)/float(len(cl)-1) for xx in range(len(cl))]
vv.reverse()
for pt,color in zip(vv,cl):
ctf.AddRGBPoint(pt, color[0], color[1], color[2])
for ii,ss in enumerate([float(xx)/float(lutNum) for xx in range(lutNum)]):
cc = ctf.GetColor(ss)
lut.SetTableValue(ii,cc[0],cc[1],cc[2],1.0)
lut.SetAlpha(0.25)
lut.SetRange(-1, 1)
chart.GetPlot(0).SetInputData(table)
chart.GetPlot(0).SetScalarVisibility(1)
chart.GetPlot(0).SetLookupTable(lut)
chart.GetPlot(0).SelectColorArray("Cosine")
view.GetRenderWindow().SetMultiSamples(0)
view.GetRenderWindow().Render()
img_file = "TestParallelCoordinatesColors.png"
vtk.test.Testing.compareImage(view.GetRenderWindow(),vtk.test.Testing.getAbsImagePath(img_file),threshold=25)
vtk.test.Testing.interact()
def generate_distance_plot():
def add_spline(outline):
outline['spline_params'] = sa.get_spline_params(outline['points'])[0]
return outline
bones = map(add_spline, lh.load_files('data/2D/registered-outline/2015-06-08'))
class1bones = [ bone for bone in bones if bone['class'] == 2 ]
class2bones = [ bone for bone in bones if bone['class'] == 3 ]
class1outline = np.mean([sa.evaluate_spline(np.linspace(0, 1, 180, endpoint=False), s['spline_params']) for s in class1bones], axis=0)
class2outline = np.mean([sa.evaluate_spline(np.linspace(0, 1, 180, endpoint=False), s['spline_params']) for s in class2bones], axis=0)
total_mean = np.mean([sa.evaluate_spline(np.linspace(0, 1, 180, endpoint=False), s['spline_params']) for s in bones], axis=0)
distances = np.linalg.norm(class1outline - class2outline, axis=1)
angles = np.array([degrees(gh.cart2pol(ev[0], ev[1])[1]) for ev in total_mean])
angles[angles[:] < 0] += 360
limit_min, limit_max = get_axis_limits(distances)
chart = vtk.vtkChartXY()
chart.GetAxis(1).SetBehavior(vtk.vtkAxis.FIXED)
chart.GetAxis(0).SetBehavior(vtk.vtkAxis.FIXED)
chart.GetAxis(0).SetTitle('')
chart.GetAxis(1).SetTitle('')
chart.GetAxis(0).GetLabelProperties().SetFontSize(30)
chart.GetAxis(1).GetLabelProperties().SetFontSize(30)
chart.GetAxis(1).SetRange(0, 359)
chart.GetAxis(0).SetRange(0, 1)
chart_table = vtk.vtkTable()
chart_angle_axis_array = vtk.vtkFloatArray()
chart_angle_axis_array.SetName('Angle (degrees)')
chart_metric_array = vtk.vtkFloatArray()
chart_metric_array.SetName('Distance')
chart_table.AddColumn(chart_angle_axis_array)
chart_table.AddColumn(chart_metric_array)
chart_line = chart.AddPlot(vtk.vtkChart.LINE)
chart_line.SetColor(0, 0, 0, 255)
chart_line.SetWidth(2)
chart.GetAxis(0).SetGridVisible(False)
chart.GetAxis(1).SetGridVisible(False)
chart_line.SetWidth(5)
chart_table.SetNumberOfRows(distances.shape[0])
for i in range(distances.shape[0]):
chart_table.SetValue(i, 0, angles[i])
chart_table.SetValue(i, 1, distances[i])
chart_line.SetInputData(chart_table, 0, 1)
render_window = vtk.vtkRenderWindow()
render_window.SetOffScreenRendering(1)
render_window.SetSize(640, 360)
tick_positions_x = vtk.vtkDoubleArray()
tick_positions_y = vtk.vtkDoubleArray()
for angle in [0, 90, 180, 270, 360]:
tick_positions_x.InsertNextValue(angle)
for height in [limit_min, floor(limit_max*100) / 100]:
tick_positions_y.InsertNextValue(height)
chart.GetAxis(0).SetRange(limit_min, limit_max)
chart.GetAxis(0).SetCustomTickPositions(tick_positions_y)
chart.GetAxis(1).SetRange(0, 360)
chart.GetAxis(1).SetCustomTickPositions(tick_positions_x)
chart.Update()
graph_context = vtk.vtkContextView()
graph_context.SetRenderWindow(render_window)
graph_context.GetScene().AddItem(chart)
exporter = vtk.vtkGL2PSExporter()
exporter.SetRenderWindow(render_window)
exporter.SetFileFormatToSVG()
exporter.CompressOff()
exporter.DrawBackgroundOff()
exporter.SetFilePrefix(os.path.abspath('thesis/img/results/real/distances'))
exporter.Write()
render_window.Finalize()
},
{
# A blue triangle in [0, 0] - [0.5, 0.5]
'poly':
buildPolyDataLineStrips([[[0.1, 0.1, 0.0], [0.1, 0.4, 0.0],
[0.4, 0.4, 0.0], [0.4, 0.2, 0.0],
[0.2, 0.2, 0.0], [0.2, 0.3, 0.0],
[0.3, 0.3, 0.0]]]),
'color': [0, 0, 255, 255]
}
]
width = 400
height = 400
view = vtk.vtkContextView()
renWin = view.GetRenderWindow()
renWin.SetSize(width, height)
area = vtk.vtkInteractiveArea()
view.GetScene().AddItem(area)
drawAreaBounds = vtk.vtkRectd(0.0, 0.0, 1.0, 1.0)
vp = [0.0500000007451, 0.949999988079, 0.259999990463, 0.860000014305]
screenGeometry = vtk.vtkRecti(int(vp[0] * width), int(vp[2] * height),
int((vp[1] - vp[0]) * width),
int((vp[3] - vp[2]) * height))
for obj in polyDataList:
pd = obj['poly']
def testLinePlot(self):
"Test if line plots can be built with python"
# Set up a 2D scene, add an XY chart to it
view = vtk.vtkContextView()
view.GetRenderer().SetBackground(1.0,1.0,1.0)
view.GetRenderWindow().SetSize(400,300)
chart = vtk.vtkChartXY()
view.GetScene().AddItem(chart)
# Create a table with some points in it
table = vtk.vtkTable()
arrX = vtk.vtkFloatArray()
arrX.SetName("X Axis")
arrC = vtk.vtkFloatArray()
arrC.SetName("Cosine")
arrS = vtk.vtkFloatArray()
arrS.SetName("Sine")
arrS2 = vtk.vtkFloatArray()
arrS2.SetName("Sine2")
numPoints = 69
inc = 7.5 / (numPoints - 1)
for i in range(0,numPoints):
arrX.InsertNextValue(i*inc)
arrC.InsertNextValue(math.cos(i * inc) + 0.0)
arrS.InsertNextValue(math.sin(i * inc) + 0.0)
arrS2.InsertNextValue(math.sin(i * inc) + 0.5)
table.AddColumn(arrX)
table.AddColumn(arrC)
table.AddColumn(arrS)
table.AddColumn(arrS2)
# Now add the line plots with appropriate colors
line = chart.AddPlot(0)
line.SetInput(table,0,1)
line.SetColor(0,255,0,255)
line.SetWidth(1.0)
line = chart.AddPlot(0)
line.SetInput(table,0,2)
line.SetColor(255,0,0,255);
line.SetWidth(5.0)
line = chart.AddPlot(0)
line.SetInput(table,0,3)
line.SetColor(0,0,255,255);
line.SetWidth(4.0)
view.GetRenderWindow().SetMultiSamples(0)
view.GetRenderWindow().Render()
img_file = "TestLinePlot.png"
vtk.test.Testing.compareImage(view.GetRenderWindow(),vtk.test.Testing.getAbsImagePath(img_file),threshold=25)
vtk.test.Testing.interact()
def testStackedPlot(self):
"Test if stacked plots can be built with python"
# Set up a 2D scene, add an XY chart to it
view = vtk.vtkContextView()
view.GetRenderer().SetBackground(1.0,1.0,1.0)
view.GetRenderWindow().SetSize(400,300)
chart = vtk.vtkChartXY()
view.GetScene().AddItem(chart)
# Create a table with some data in it
table = vtk.vtkTable()
arrMonthLabels = vtk.vtkStringArray()
arrMonthPositions = vtk.vtkDoubleArray()
arrMonth = vtk.vtkIntArray()
arrMonth.SetName("Month")
arrBooks = vtk.vtkIntArray()
arrBooks.SetName("Books")
arrNew = vtk.vtkIntArray()
arrNew.SetName("New / Popular")
arrPeriodical = vtk.vtkIntArray()
arrPeriodical.SetName("Periodical")
arrAudiobook = vtk.vtkIntArray()
arrAudiobook.SetName("Audiobook")
arrVideo = vtk.vtkIntArray()
arrVideo.SetName("Video")
numMonths = 12
for i in range(0,numMonths):
arrMonthLabels.InsertNextValue(month_labels[i])
arrMonthPositions.InsertNextValue(float(i))
arrMonth.InsertNextValue(i)
arrBooks.InsertNextValue(book[i])
arrNew.InsertNextValue(new_popular[i])
arrPeriodical.InsertNextValue(periodical[i])
arrAudiobook.InsertNextValue(audiobook[i])
arrVideo.InsertNextValue(video[i])
table.AddColumn(arrMonth)
table.AddColumn(arrBooks)
table.AddColumn(arrNew)
table.AddColumn(arrPeriodical)
table.AddColumn(arrAudiobook)
table.AddColumn(arrVideo)
# Set up the X Labels
chart.GetAxis(1).SetCustomTickPositions(arrMonthPositions, arrMonthLabels)
chart.GetAxis(1).SetMaximum(11)
chart.GetAxis(1).SetBehavior(vtk.vtkAxis.FIXED)
chart.SetShowLegend(True)
# Create the stacked plot
stack = chart.AddPlot(3)
stack.SetUseIndexForXSeries(True)
stack.SetInputData(table)
stack.SetInputArray(1,"Books")
stack.SetInputArray(2,"New / Popular")
stack.SetInputArray(3,"Periodical")
stack.SetInputArray(4,"Audiobook")
stack.SetInputArray(5,"Video")
# Set up a nice color series
colorSeries = vtk.vtkColorSeries()
colorSeries.SetColorScheme(2)
stack.SetColorSeries(colorSeries)
view.GetRenderWindow().SetMultiSamples(0)
view.GetRenderWindow().Render()
img_file = "TestStackedPlot.png"
vtk.test.Testing.compareImage(view.GetRenderWindow(),
vtk.test.Testing.getAbsImagePath(img_file),
threshold=25)
vtk.test.Testing.interact()
'color': [0, 0, 255],
'lineWidth': 1.5,
'stippleType': vtk.vtkPen.DASH_DOT_LINE
}),
buildSpiralPolyDataItem({
'vp': [0.5, 1.0, 0.0, 0.5],
'color': [255, 0, 255],
'lineWidth': 0.5,
'stippleType': vtk.vtkPen.SOLID_LINE
})
]
width = 400
height = 400
view = vtk.vtkContextView()
renWin = view.GetRenderWindow()
renWin.SetSize(width, height)
area = vtk.vtkInteractiveArea()
view.GetScene().AddItem(area)
drawAreaBounds = vtk.vtkRectd(0.0, 0.0, 1.0, 1.0)
vp = [0.0, 1.0, 0.0, 1.0]
screenGeometry = vtk.vtkRecti(int(vp[0] * width),
int(vp[2] * height),
int((vp[1] - vp[0]) * width),
int((vp[3] - vp[2]) * height))
for item in polyDataItemList:
def initialize(self, VTKWebApp, args):
dataid = args.id
treedata = getDBdata(dataid)
VTKWebApp.tree = treedata["tree"]
VTKWebApp.table = dataid+ ".csv"
# Create default pipeline (Only once for all the session)
if not VTKWebApp.view:
treeHeatmapItem = vtk.vtkTreeHeatmapItem()
# read in a tree
treeReader = vtk.vtkNewickTreeReader()
treeReader.SetReadFromInputString(1)
treeReader.SetInputString(VTKWebApp.tree)
treeReader.Update()
tree = treeReader.GetOutput()
treeHeatmapItem.SetTree(tree)
if (VTKWebApp.table != "none" and os.path.isfile(VTKWebApp.table)):
# read in a table
print("read table"+ VTKWebApp.table)
tableReader = vtk.vtkDelimitedTextReader()
tableReader.SetFileName(VTKWebApp.table)
tableReader.SetHaveHeaders(1)
tableReader.DetectNumericColumnsOn()
tableReader.Update()
table = tableReader.GetOutput()
if (table):
treeHeatmapItem.SetTable(table)
# setup the window
view = vtk.vtkContextView()
view.GetRenderer().SetBackground(1,1,1)
view.GetRenderWindow().SetSize(800,600)
iren = view.GetInteractor()
iren.SetRenderWindow(view.GetRenderWindow())
transformItem = vtk.vtkContextTransform()
transformItem.AddItem(treeHeatmapItem)
transformItem.SetInteractive(1)
view.GetScene().AddItem(transformItem)
view.GetRenderWindow().SetMultiSamples(0)
iren.Initialize()
view.GetRenderWindow().Render()
# adjust zoom so the item nicely fills the screen
itemSize = [0, 0]
treeHeatmapItem.GetSize(itemSize)
itemSize.append(0)
transformItem.GetTransform().MultiplyPoint(itemSize, itemSize)
newWidth = view.GetScene().GetSceneWidth()
newHeight = view.GetScene().GetSceneHeight()
pageWidth = newWidth
pageHeight = newHeight
sx = pageWidth / itemSize[0]
sy = pageHeight / itemSize[1]
if sy < sx:
scale = sy;
else:
scale = sx;
if scale > 1:
scale = scale * 0.5
else:
scale = scale * 0.9
transformItem.Scale(scale, scale)
# center the item within the screen
itemCenter = [0, 0]
treeHeatmapItem.GetCenter(itemCenter)
itemCenter.append(0)
centerPt = vtk.vtkPoints2D()
centerPt.InsertNextPoint(newWidth / 2.0, newHeight / 2.0)
transformItem.GetTransform().InverseTransformPoints(centerPt, centerPt)
sceneCenter = [0, 0]
centerPt.GetPoint(0, sceneCenter)
dx = -1 * (itemCenter[0] - sceneCenter[0])
dy = -1 * (itemCenter[1] - sceneCenter[1])
transformItem.Translate(dx, dy)
# VTK Web application specific
VTKWebApp.view = view.GetRenderWindow()
self.Application.GetObjectIdMap().SetActiveObject("VIEW", view.GetRenderWindow())
def __init__(self, parent = None):
QtGui.QMainWindow.__init__(self, parent)
self.ui = Ui_MainWindow()
self.ui.setupUi(self)
# Set up a 2D scene (later we'll add a pcoords chart to it)
self.view = vtk.vtkContextView()
# self.view.GetRenderer().SetBackground(1.0, 1.0, 1.0)
# // QVTKWidget *widget = new QVTKWidget;
# // vtkContextView *view = vtkContextView::New();
# // view->SetInteractor(widget->GetInteractor());
# // widget->SetRenderWindow(view->GetRenderWindow());
# Necessary for RenderView types
self.view.SetInteractor(self.ui.vtkWidget.GetInteractor())
self.ui.vtkWidget.SetRenderWindow(self.view.GetRenderWindow())
data_file = '/Users/emonson/Data/Fodava/EMoGWDataSets/mnist12_1k_20101119.mat'
# DataSource loads .mat file and can generate data from it for other views
ds = DataSource(data_file)
# Testing my custom chart class which has image hover tooltips
chart = vtkvtg.vtkMyChartXY()
chart.SetActionToButton(vtk.vtkChart.PAN, 2)
chart.SetActionToButton(vtk.vtkChart.ZOOM, 4)
chart.SetActionToButton(vtk.vtkChart.SELECT, 1)
self.view.GetScene().AddItem(chart)
# Create a annotation link to access selection in parallel coordinates view
annotationLink = vtk.vtkAnnotationLink()
# If you don't set the FieldType explicitly it ends up as UNKNOWN (as of 21 Feb 2010)
# See vtkSelectionNode doc for field and content type enum values
annotationLink.GetCurrentSelection().GetNode(0).SetFieldType(1) # Point
annotationLink.GetCurrentSelection().GetNode(0).SetContentType(4) # Indices
# Connect the annotation link to the parallel coordinates representation
chart.SetAnnotationLink(annotationLink)
test_id = 3
table = ds.GetNodeOneScaleCoeffTable(test_id)
chart.ClearPlots()
line1 = vtkvtg.vtkMyPlotPoints()
chart.AddPlot(line1) # POINTS
line1.SetInput(table, 0, 1)
line1.SetMarkerStyle(2)
line1.SetColor(0, 0, 0, 255)
# Tooltip image stack will now be owned by the tooltip, so need to do that differently...
id_list = ds.PointsInNet[test_id]
image_stack = ds.GetProjectedImages(id_list)
chart.SetTooltipImageStack(image_stack)
chart.SetTooltipShowImage(True)
# chart.SetTooltipImageScalingFactor(2.0)
chart.SetTooltipImageTargetSize(40)
# Set up annotation link which will carry indices to parallel coordinates chart
# for highlighting outside selections (e.g. back from image_flow)
# This needs to carry indices, while image_flow link outputs pedigree ids
# so conversion happens in HighlightSelectionCallback
highlight_link_idxs = vtk.vtkAnnotationLink()
highlight_link_idxs.GetCurrentSelection().GetNode(0).SetFieldType(1) # Point
highlight_link_idxs.GetCurrentSelection().GetNode(0).SetContentType(4) # 2 = PedigreeIds, 4 = Indices
chart.SetHighlightLink(highlight_link_idxs)
# Finally render the scene and compare the image to a reference image
# view.GetRenderWindow().SetMultiSamples(0)
annotationLink.AddObserver("AnnotationChangedEvent", self.selectionCallback)
# view.ResetCamera()
# view.Render()
# Fill selection link with dummy IDs
id_array = N.array([0],dtype='int64')
id_list = VN.numpy_to_vtkIdTypeArray(id_array)
highlight_link_idxs.GetCurrentSelection().GetNode(0).SetSelectionList(id_list)
highlight_link_idxs.InvokeEvent("AnnotationChangedEvent")
# Set up annotation link which will carry indices to parallel coordinates chart
# for highlighting outside selections (e.g. back from image_flow)
# This needs to carry indices, while image_flow link outputs pedigree ids
# so conversion happens in HighlightSelectionCallback
data_col_idxs = vtk.vtkAnnotationLink()
data_col_idxs.GetCurrentSelection().GetNode(0).SetFieldType(1) # Point
data_col_idxs.GetCurrentSelection().GetNode(0).SetContentType(4) # 2 = PedigreeIds, 4 = Indices
chart.SetDataColumnsLink(data_col_idxs)
# Fill selection link with dummy IDs
col_array = N.array([1,2],dtype='int64')
col_list = VN.numpy_to_vtkIdTypeArray(col_array)
data_col_idxs.GetCurrentSelection().GetNode(0).SetSelectionList(col_list)
data_col_idxs.InvokeEvent("AnnotationChangedEvent")
# Start interaction event loop
self.ui.vtkWidget.show()
def testStackedPlot(self):
"Test if stacked plots can be built with python"
# Set up a 2D scene, add an XY chart to it
view = vtk.vtkContextView()
view.GetRenderer().SetBackground(1.0,1.0,1.0)
view.GetRenderWindow().SetSize(400,300)
chart = vtk.vtkChartXY()
view.GetScene().AddItem(chart)
# Create a table with some data in it
table = vtk.vtkTable()
arrMonthLabels = vtk.vtkStringArray()
arrMonthPositions = vtk.vtkDoubleArray()
arrMonth = vtk.vtkIntArray()
arrMonth.SetName("Month")
arrBooks = vtk.vtkIntArray()
arrBooks.SetName("Books")
arrNew = vtk.vtkIntArray()
arrNew.SetName("New / Popular")
arrPeriodical = vtk.vtkIntArray()
arrPeriodical.SetName("Periodical")
arrAudiobook = vtk.vtkIntArray()
arrAudiobook.SetName("Audiobook")
arrVideo = vtk.vtkIntArray()
arrVideo.SetName("Video")
numMonths = 12
for i in range(0,numMonths):
arrMonthLabels.InsertNextValue(month_labels[i])
arrMonthPositions.InsertNextValue(float(i))
arrMonth.InsertNextValue(i)
arrBooks.InsertNextValue(book[i])
arrNew.InsertNextValue(new_popular[i])
arrPeriodical.InsertNextValue(periodical[i])
arrAudiobook.InsertNextValue(audiobook[i])
arrVideo.InsertNextValue(video[i])
table.AddColumn(arrMonth)
table.AddColumn(arrBooks)
table.AddColumn(arrNew)
table.AddColumn(arrPeriodical)
table.AddColumn(arrAudiobook)
table.AddColumn(arrVideo)
# Set up the X Labels
chart.GetAxis(1).SetCustomTickPositions(arrMonthPositions, arrMonthLabels)
chart.GetAxis(1).SetMaximum(11)
chart.GetAxis(1).SetBehavior(vtk.vtkAxis.FIXED)
# Create the stacked plot
stack = chart.AddPlot(3)
stack.SetUseIndexForXSeries(True)
stack.SetInputData(table)
stack.SetInputArray(1,"Books")
stack.SetInputArray(2,"New / Popular")
stack.SetInputArray(3,"Periodical")
stack.SetInputArray(4,"Audiobook")
stack.SetInputArray(5,"Video")
# Set up a nice color series
colorSeries = vtk.vtkColorSeries()
colorSeries.SetColorScheme(2)
stack.SetColorSeries(colorSeries)
view.GetRenderWindow().SetMultiSamples(0)
view.GetRenderWindow().Render()
img_file = "TestStackedPlot.png"
vtk.test.Testing.compareImage(view.GetRenderWindow(),
vtk.test.Testing.getAbsImagePath(img_file),
threshold=25)
vtk.test.Testing.interact()
nprecs = solv_data[:, 2].copy()
xtime = numpy_support.numpy_to_vtk(nxtime)
xiters = numpy_support.numpy_to_vtk(nxiters)
xprecs = numpy_support.numpy_to_vtk(nprecs)
xtime.SetName('time')
xiters.SetName('iterations')
xprecs.SetName('precisions')
table = vtk.vtkTable()
table.AddColumn(xtime)
table.AddColumn(xiters)
table.AddColumn(xprecs)
#table.Dump()
tview_iter = vtk.vtkContextView()
tview_prec = vtk.vtkContextView()
chart_iter = vtk.vtkChartXY()
chart_prec = vtk.vtkChartXY()
tview_iter.GetScene().AddItem(chart_iter)
tview_prec.GetScene().AddItem(chart_prec)
iter_plot = chart_iter.AddPlot(vtk.vtkChart.LINE)
iter_plot.SetLabel('Solver iterations')
iter_plot.GetXAxis().SetTitle('time')
iter_plot.GetYAxis().SetTitle('iterations')
prec_plot = chart_prec.AddPlot(vtk.vtkChart.LINE)
prec_plot.SetLabel('Solver precisions')
prec_plot.GetXAxis().SetTitle('time')
prec_plot.GetYAxis().SetTitle('precisions')
def testLinePlot(self):
"Test if colored scatter plots can be built with python"
# Set up a 2D scene, add an XY chart to it
view = vtk.vtkContextView()
view.GetRenderer().SetBackground(1.0, 1.0, 1.0)
view.GetRenderWindow().SetSize(400, 300)
chart = vtk.vtkChartXY()
chart.SetShowLegend(True)
view.GetScene().AddItem(chart)
# Create a table with some points in it
arrX = vtk.vtkFloatArray()
arrX.SetName("XAxis")
arrC = vtk.vtkFloatArray()
arrC.SetName("Cosine")
arrS = vtk.vtkFloatArray()
arrS.SetName("Sine")
arrS2 = vtk.vtkFloatArray()
arrS2.SetName("Tan")
numPoints = 40
inc = 7.5 / (numPoints-1)
for i in range(numPoints):
arrX.InsertNextValue(i * inc)
arrC.InsertNextValue(math.cos(i * inc) + 0.0)
arrS.InsertNextValue(math.sin(i * inc) + 0.0)
arrS2.InsertNextValue(math.tan(i * inc) + 0.5)
table = vtk.vtkTable()
table.AddColumn(arrX)
table.AddColumn(arrC)
table.AddColumn(arrS)
table.AddColumn(arrS2)
# Generate a black-to-red lookup table with fixed alpha
lut = vtk.vtkLookupTable()
lut.SetValueRange(0.2, 1.0)
lut.SetSaturationRange(1, 1)
lut.SetHueRange(0,0)
lut.SetRampToLinear()
lut.SetRange(-1,1)
lut.SetAlpha(0.75)
lut.Build()
# Generate a black-to-blue lookup table with alpha range
lut2 = vtk.vtkLookupTable()
lut2.SetValueRange(0.2, 1.0)
lut2.SetSaturationRange(1, 1)
lut2.SetHueRange(0.6667, 0.6667)
lut2.SetAlphaRange(0.4, 0.8)
lut2.SetRampToLinear()
lut2.SetRange(-1,1)
lut2.Build()
# Add multiple line plots, setting the colors etc
points0 = chart.AddPlot(vtk.vtkChart.POINTS)
points0.SetInputData(table, 0, 1)
points0.SetColor(0, 0, 0, 255)
points0.SetWidth(1.0)
points0.SetMarkerStyle(vtk.vtkPlotPoints.CROSS)
points1 = chart.AddPlot(vtk.vtkChart.POINTS)
points1.SetInputData(table, 0, 2)
points1.SetColor(0, 0, 0, 255)
points1.SetMarkerStyle(vtk.vtkPlotPoints.DIAMOND)
points1.SetScalarVisibility(1)
points1.SetLookupTable(lut)
points1.SelectColorArray(1)
points2 = chart.AddPlot(vtk.vtkChart.POINTS)
points2.SetInputData(table, 0, 3)
points2.SetColor(0, 0, 0, 255)
points2.ScalarVisibilityOn()
points2.SetLookupTable(lut2)
points2.SelectColorArray("Cosine")
points2.SetWidth(4.0)
view.GetRenderWindow().SetMultiSamples(0)
view.GetRenderWindow().Render()
img_file = "TestScatterPlotColors.png"
vtk.test.Testing.compareImage(view.GetRenderWindow(),vtk.test.Testing.getAbsImagePath(img_file),threshold=25)
vtk.test.Testing.interact()
def setup(self):
ScriptedLoadableModuleWidget.setup(self)
self.imageData = None
# Add a Qt timer, that fires every X ms (16.7ms = 60 FPS, 33ms = 30FPS)
# Connect the timeout() signal of the qt timer to a function in this class that you will write
self.timer = qt.QTimer()
self.timer.connect('timeout()', self.OnTimerTimeout)
self.timer.start(16.7)
self.table = vtk.vtkTable()
self.chart = vtk.vtkChartXY()
self.line = self.chart.AddPlot(0)
#self.chart.RecalculateBounds()
self.view = vtk.vtkContextView()
# Instantiate and connect widgets ...
#
# Parameters Area
#
parametersCollapsibleButton = ctk.ctkCollapsibleButton()
parametersCollapsibleButton.text = "Parameters"
self.layout.addWidget(parametersCollapsibleButton)
# Layout within the dummy collapsible button
parametersFormLayout = qt.QFormLayout(parametersCollapsibleButton)
#
# transform first peak selector
#
self.firstPeakTransformSelector = slicer.qMRMLNodeComboBox()
self.firstPeakTransformSelector.nodeTypes = ["vtkMRMLLinearTransformNode"]
self.firstPeakTransformSelector.selectNodeUponCreation = True
self.firstPeakTransformSelector.addEnabled = False
self.firstPeakTransformSelector.removeEnabled = False
self.firstPeakTransformSelector.noneEnabled = True
self.firstPeakTransformSelector.showHidden = False
self.firstPeakTransformSelector.showChildNodeTypes = False
self.firstPeakTransformSelector.setMRMLScene( slicer.mrmlScene )
self.firstPeakTransformSelector.setToolTip( "Pick the transform for the first peak." )
parametersFormLayout.addRow("First Peak Transform: ", self.firstPeakTransformSelector)
#
# transform second peak selector
#
self.secondPeakTransformSelector = slicer.qMRMLNodeComboBox()
self.secondPeakTransformSelector.nodeTypes = ["vtkMRMLLinearTransformNode"]
self.secondPeakTransformSelector.selectNodeUponCreation = True
self.secondPeakTransformSelector.addEnabled = False
self.secondPeakTransformSelector.removeEnabled = False
self.secondPeakTransformSelector.noneEnabled = True
self.secondPeakTransformSelector.showHidden = False
self.secondPeakTransformSelector.showChildNodeTypes = False
self.secondPeakTransformSelector.setMRMLScene( slicer.mrmlScene )
self.secondPeakTransformSelector.setToolTip( "Pick the transform for the second peak." )
parametersFormLayout.addRow("Second Peak Transform: ", self.secondPeakTransformSelector)
#
# transform third peak selector
#
self.thirdPeakTransformSelector = slicer.qMRMLNodeComboBox()
self.thirdPeakTransformSelector.nodeTypes = ["vtkMRMLLinearTransformNode"]
self.thirdPeakTransformSelector.selectNodeUponCreation = True
self.thirdPeakTransformSelector.addEnabled = False
self.thirdPeakTransformSelector.removeEnabled = False
self.thirdPeakTransformSelector.noneEnabled = True
self.thirdPeakTransformSelector.showHidden = False
self.thirdPeakTransformSelector.showChildNodeTypes = False
self.thirdPeakTransformSelector.setMRMLScene( slicer.mrmlScene )
self.thirdPeakTransformSelector.setToolTip( "Pick the transform for the third peak." )
parametersFormLayout.addRow("Third Peak Transform: ", self.thirdPeakTransformSelector)
#
# volume selector
#
self.imageSelector = slicer.qMRMLNodeComboBox()
self.imageSelector.nodeTypes = ["vtkMRMLScalarVolumeNode"]
self.imageSelector.selectNodeUponCreation = True
self.imageSelector.addEnabled = False
self.imageSelector.removeEnabled = False
self.imageSelector.noneEnabled = True
self.imageSelector.showHidden = False
self.imageSelector.showChildNodeTypes = False
self.imageSelector.setMRMLScene( slicer.mrmlScene )
self.imageSelector.setToolTip( "Pick the image that is the oscilloscope signal." )
parametersFormLayout.addRow("Signal Volume: ", self.imageSelector)
#
# threshold value
#
#self.imageThresholdSliderWidget = ctk.ctkSliderWidget()
#self.imageThresholdSliderWidget.singleStep = 0.1
#self.imageThresholdSliderWidget.minimum = -100
#self.imageThresholdSliderWidget.maximum = 100
#self.imageThresholdSliderWidget.value = 0.5
#self.imageThresholdSliderWidget.setToolTip("Set threshold value for computing the output image. Voxels that have intensities lower than this value will set to zero.")
#parametersFormLayout.addRow("Image threshold", self.imageThresholdSliderWidget)
#
# check box to trigger taking screen shots for later use in tutorials
#
#self.enableScreenshotsFlagCheckBox = qt.QCheckBox()
#self.enableScreenshotsFlagCheckBox.checked = 0
#self.enableScreenshotsFlagCheckBox.setToolTip("If checked, take screen shots for tutorials. Use Save Data to write them to disk.")
#parametersFormLayout.addRow("Enable Screenshots", self.enableScreenshotsFlagCheckBox)
#
# Apply Button
#
self.runButton = qt.QPushButton("Run")
self.runButton.toolTip = "Start visualization."
self.runButton.enabled = True
parametersFormLayout.addRow(self.runButton)
# connections
self.runButton.connect('clicked(bool)', self.onRunButton)
self.imageSelector.connect("currentNodeChanged(vtkMRMLNode*)", self.OnInputVolumeSelect)
self.firstPeakTransformSelector.connect("currentNodeChanged(vtkMRMLNode*)", self.onFirstPeakSelect)
self.secondPeakTransformSelector.connect("currentNodeChanged(vtkMRMLNode*)", self.onSecondPeakSelect)
self.thirdPeakTransformSelector.connect("currentNodeChanged(vtkMRMLNode*)", self.onThirdPeakSelect)
#self.outputSelector.connect("currentNodeChanged(vtkMRMLNode*)", self.onSelect)
# Add vertical spacer
self.layout.addStretch(1)
