def make_stream_actors(position, color):
"""Create a stream and use two mappers. One to represent velocity with
the default colour, and the other to change the colour.
"""
seed = vtk.vtkPointSource()
seed.SetRadius(15)
seed.SetNumberOfPoints(100)
seed.SetCenter(*position)
stream_tracer = vtk.vtkStreamTracer()
stream_tracer.SetInputConnection(mixer.GetOutputPort())
stream_tracer.SetMaximumPropagation(500)
stream_tracer.SetIntegrator(vtk.vtkRungeKutta45())
stream_tracer.SetIntegrationDirectionToBoth()
stream_tracer.SetTerminalSpeed(0.0001)
stream_tracer.SetSource(seed.GetOutput())
stream_tube = vtk.vtkTubeFilter()
stream_tube.SetInputConnection(stream_tracer.GetOutputPort())
stream_tube.SetRadius(.2)
stream_tube.SetNumberOfSides(12)
# Solid transparent colour
stream_mapper1 = vtk.vtkPolyDataMapper()
stream_mapper1.SetInputConnection(stream_tube.GetOutputPort())
stream_mapper1.ScalarVisibilityOff()
stream_actor1 = vtk.vtkActor()
stream_actor1.GetProperty().SetColor(*color)
stream_actor1.SetMapper(stream_mapper1)
stream_actor1.GetProperty().SetOpacity(0.4)
# opaque velocity colour
stream_mapper2 = vtk.vtkPolyDataMapper()
stream_mapper2.SetInputConnection(stream_tube.GetOutputPort())
stream_actor2 = vtk.vtkActor()
stream_actor2.SetMapper(stream_mapper2)
stream_actor2.GetProperty().SetOpacity(1.)
return [stream_actor1, stream_actor2]
points1.InsertNextPoint(x, y, z)
def points2():
output = pointSource2.GetPolyDataOutput()
points2 = vtk.vtkPoints()
output.SetPoints(points2)
for i in range(nPoints):
x, y, z = 1.5, (.5 + random.randint(y2[0],y2[1])), (.5 + random.randint(z2[0],z2[1]))
points2.InsertNextPoint(x, y, z)
pointSource1.SetExecuteMethod(points1)
pointSource2.SetExecuteMethod(points2)
#Streamlines for point source 1
integ = vtk.vtkRungeKutta45()
streamer1 = vtk.vtkStreamTracer()
streamer1.SetInputConnection(reader.GetOutputPort())
streamer1.SetSourceConnection(pointSource1.GetOutputPort())
streamer1.SetMaximumPropagation(2000)
streamer1.SetIntegrationStepUnit(2) #Cell length unit
streamer1.SetMinimumIntegrationStep(0.01)
streamer1.SetMaximumIntegrationStep(10)
streamer1.SetInitialIntegrationStep(0.2)
streamer1.SetIntegrationDirection(0)
streamer1.SetIntegrator(integ)
streamer1.SetRotationScale(0.5)
#Streamlines for point source 2
streamer2 = vtk.vtkStreamTracer()
streamer2.SetInputConnection(reader.GetOutputPort())
def _plotInternal(self):
"""Overrides baseclass implementation."""
# Preserve time and z axis for plotting these inof in rendertemplate
projection = vcs.elements["projection"][self._gm.projection]
taxis = self._originalData1.getTime()
if self._originalData1.ndim > 2:
zaxis = self._originalData1.getAxis(-3)
else:
zaxis = None
# Streamline color
if (not self._gm.coloredbyvector):
ln_tmp = self._gm.linetype
if ln_tmp is None:
ln_tmp = "default"
try:
ln_tmp = vcs.getline(ln_tmp)
lwidth = ln_tmp.width[0] # noqa
lcolor = ln_tmp.color[0]
lstyle = ln_tmp.type[0] # noqa
except Exception:
lstyle = "solid" # noqa
lwidth = 1. # noqa
lcolor = [0., 0., 0., 100.]
if self._gm.linewidth is not None:
lwidth = self._gm.linewidth # noqa
if self._gm.linecolor is not None:
lcolor = self._gm.linecolor
self._vtkPolyDataFilter.Update()
polydata = self._vtkPolyDataFilter.GetOutput()
dataLength = polydata.GetLength()
if (not self._gm.evenlyspaced):
# generate random seeds in a circle centered in the center of
# the bounding box for the data.
# by default vtkPointSource uses a global random source in vtkMath which is
# seeded only once. It makes more sense to seed a random sequence each time you draw
# the streamline plot.
pointSequence = vtk.vtkMinimalStandardRandomSequence()
pointSequence.SetSeedOnly(1177) # replicate the seed from vtkMath
seed = vtk.vtkPointSource()
seed.SetNumberOfPoints(self._gm.numberofseeds)
seed.SetCenter(polydata.GetCenter())
seed.SetRadius(dataLength / 2.0)
seed.SetRandomSequence(pointSequence)
seed.Update()
seedData = seed.GetOutput()
# project all points to Z = 0 plane
points = seedData.GetPoints()
for i in range(0, points.GetNumberOfPoints()):
p = list(points.GetPoint(i))
p[2] = 0
points.SetPoint(i, p)
if (self._gm.integratortype == 0):
integrator = vtk.vtkRungeKutta2()
elif (self._gm.integratortype == 1):
integrator = vtk.vtkRungeKutta4()
else:
if (self._gm.evenlyspaced):
warnings.warn(
"You cannot use RungeKutta45 for evenly spaced streamlines."
"Using RungeKutta4 instead")
integrator = vtk.vtkRungeKutta4()
else:
integrator = vtk.vtkRungeKutta45()
if (self._gm.evenlyspaced):
streamer = vtk.vtkEvenlySpacedStreamlines2D()
streamer.SetStartPosition(self._gm.startseed)
streamer.SetSeparatingDistance(self._gm.separatingdistance)
streamer.SetSeparatingDistanceRatio(
self._gm.separatingdistanceratio)
streamer.SetClosedLoopMaximumDistance(
self._gm.closedloopmaximumdistance)
else:
# integrate streamlines on normalized vector so that
# IntegrationTime stores distance
streamer = vtk.vtkStreamTracer()
streamer.SetSourceData(seedData)
streamer.SetIntegrationDirection(self._gm.integrationdirection)
streamer.SetMinimumIntegrationStep(self._gm.minimumsteplength)
streamer.SetMaximumIntegrationStep(self._gm.maximumsteplength)
streamer.SetMaximumError(self._gm.maximumerror)
streamer.SetMaximumPropagation(dataLength *
self._gm.maximumstreamlinelength)
streamer.SetInputData(polydata)
streamer.SetInputArrayToProcess(0, 0, 0, 0, "vector")
streamer.SetIntegrationStepUnit(self._gm.integrationstepunit)
streamer.SetInitialIntegrationStep(self._gm.initialsteplength)
streamer.SetMaximumNumberOfSteps(self._gm.maximumsteps)
streamer.SetTerminalSpeed(self._gm.terminalspeed)
streamer.SetIntegrator(integrator)
# add arc_length to streamlines
arcLengthFilter = vtk.vtkAppendArcLength()
arcLengthFilter.SetInputConnection(streamer.GetOutputPort())
arcLengthFilter.Update()
streamlines = arcLengthFilter.GetOutput()
# glyph seed points
contour = vtk.vtkContourFilter()
contour.SetInputConnection(arcLengthFilter.GetOutputPort())
contour.SetValue(0, 0.001)
if (streamlines.GetNumberOfPoints()):
r = streamlines.GetPointData().GetArray("arc_length").GetRange()
numberofglyphsoneside = self._gm.numberofglyphs // 2
for i in range(1, numberofglyphsoneside):
contour.SetValue(i, r[1] / numberofglyphsoneside * i)
else:
warnings.warn(
"No streamlines created. "
"The 'startseed' parameter needs to be inside the domain and "
"not over masked data.")
contour.SetInputArrayToProcess(0, 0, 0, 0, "arc_length")
# arrow glyph source
glyph2DSource = vtk.vtkGlyphSource2D()
glyph2DSource.SetGlyphTypeToTriangle()
glyph2DSource.SetRotationAngle(-90)
glyph2DSource.SetFilled(self._gm.filledglyph)
# arrow glyph adjustment
transform = vtk.vtkTransform()
transform.Scale(1., self._gm.glyphbasefactor, 1.)
transformFilter = vtk.vtkTransformFilter()
transformFilter.SetInputConnection(glyph2DSource.GetOutputPort())
transformFilter.SetTransform(transform)
transformFilter.Update()
glyphLength = transformFilter.GetOutput().GetLength()
# drawing the glyphs at the seed points
glyph = vtk.vtkGlyph2D()
glyph.SetInputConnection(contour.GetOutputPort())
glyph.SetInputArrayToProcess(1, 0, 0, 0, "vector")
glyph.SetSourceData(transformFilter.GetOutput())
glyph.SetScaleModeToDataScalingOff()
glyph.SetScaleFactor(dataLength * self._gm.glyphscalefactor /
glyphLength)
glyph.SetColorModeToColorByVector()
glyphMapper = vtk.vtkPolyDataMapper()
glyphMapper.SetInputConnection(glyph.GetOutputPort())
glyphActor = vtk.vtkActor()
glyphActor.SetMapper(glyphMapper)
mapper = vtk.vtkPolyDataMapper()
mapper.SetInputConnection(streamer.GetOutputPort())
act = vtk.vtkActor()
act.SetMapper(mapper)
# color the streamlines and glyphs
cmap = self.getColorMap()
if (self._gm.coloredbyvector):
numLevels = len(self._contourLevels) - 1
while len(self._contourColors) < numLevels:
self._contourColors.append(self._contourColors[-1])
lut = vtk.vtkLookupTable()
lut.SetNumberOfTableValues(numLevels)
for i in range(numLevels):
r, g, b, a = self.getColorIndexOrRGBA(cmap,
self._contourColors[i])
lut.SetTableValue(i, r / 100., g / 100., b / 100., a / 100.)
lut.SetVectorModeToMagnitude()
if numpy.allclose(self._contourLevels[0], -1.e20):
lmn = self._vectorRange[0]
else:
lmn = self._contourLevels[0][0]
if numpy.allclose(self._contourLevels[-1], 1.e20):
lmx = self._vectorRange[1]
else:
lmx = self._contourLevels[-1][-1]
lut.SetRange(lmn, lmx)
mapper.ScalarVisibilityOn()
mapper.SetLookupTable(lut)
mapper.UseLookupTableScalarRangeOn()
mapper.SetScalarModeToUsePointFieldData()
mapper.SelectColorArray("vector")
glyphMapper.ScalarVisibilityOn()
glyphMapper.SetLookupTable(lut)
glyphMapper.UseLookupTableScalarRangeOn()
glyphMapper.SetScalarModeToUsePointFieldData()
glyphMapper.SelectColorArray("VectorMagnitude")
else:
mapper.ScalarVisibilityOff()
glyphMapper.ScalarVisibilityOff()
if isinstance(lcolor, (list, tuple)):
r, g, b, a = lcolor
else:
r, g, b, a = cmap.index[lcolor]
act.GetProperty().SetColor(r / 100., g / 100., b / 100.)
glyphActor.GetProperty().SetColor(r / 100., g / 100., b / 100.)
plotting_dataset_bounds = self.getPlottingBounds()
vp = self._resultDict.get('ratio_autot_viewport', [
self._template.data.x1, self._template.data.x2,
self._template.data.y1, self._template.data.y2
])
dataset_renderer, xScale, yScale = self._context().fitToViewport(
act,
vp,
wc=plotting_dataset_bounds,
geoBounds=self._vtkDataSetBoundsNoMask,
geo=self._vtkGeoTransform,
priority=self._template.data.priority,
create_renderer=True)
glyph_renderer, xScale, yScale = self._context().fitToViewport(
glyphActor,
vp,
wc=plotting_dataset_bounds,
geoBounds=self._vtkDataSetBoundsNoMask,
geo=self._vtkGeoTransform,
priority=self._template.data.priority,
create_renderer=False)
kwargs = {
'vtk_backend_grid': self._vtkDataSet,
'dataset_bounds': self._vtkDataSetBounds,
'plotting_dataset_bounds': plotting_dataset_bounds,
"vtk_dataset_bounds_no_mask": self._vtkDataSetBoundsNoMask,
'vtk_backend_geo': self._vtkGeoTransform
}
if ('ratio_autot_viewport' in self._resultDict):
kwargs["ratio_autot_viewport"] = vp
self._resultDict.update(self._context().renderTemplate(
self._template, self._data1, self._gm, taxis, zaxis, **kwargs))
if (self._gm.coloredbyvector):
self._resultDict.update(self._context().renderColorBar(
self._template, self._contourLevels, self._contourColors, None,
self.getColorMap()))
if self._context().canvas._continents is None:
self._useContinents = False
if self._useContinents:
continents_renderer, xScale, yScale = self._context(
).plotContinents(plotting_dataset_bounds, projection,
self._dataWrapModulo, vp,
self._template.data.priority, **kwargs)
self._resultDict["vtk_backend_actors"] = [[
act, plotting_dataset_bounds
]]
self._resultDict["vtk_backend_luts"] = [[None, None]]
iren = vtk.vtkRenderWindowInteractor()
iren.SetRenderWindow(renWin)
# read data
#
reader = vtk.vtkStructuredGridReader()
reader.SetFileName("" + str(VTK_DATA_ROOT) + "/Data/office.binary.vtk")
reader.Update()
#force a read to occur
outline = vtk.vtkStructuredGridOutlineFilter()
outline.SetInputConnection(reader.GetOutputPort())
mapOutline = vtk.vtkPolyDataMapper()
mapOutline.SetInputConnection(outline.GetOutputPort())
outlineActor = vtk.vtkActor()
outlineActor.SetMapper(mapOutline)
outlineActor.GetProperty().SetColor(0,0,0)
rk = vtk.vtkRungeKutta45()
# Create source for streamtubes
streamer = vtk.vtkStreamTracer()
streamer.SetInputConnection(reader.GetOutputPort())
streamer.SetStartPosition(0.1,2.1,0.5)
streamer.SetMaximumPropagation(500)
streamer.SetIntegrationStepUnit(2)
streamer.SetMinimumIntegrationStep(0.1)
streamer.SetMaximumIntegrationStep(1.0)
streamer.SetInitialIntegrationStep(0.2)
streamer.SetIntegrationDirection(0)
streamer.SetIntegrator(rk)
streamer.SetRotationScale(0.5)
streamer.SetMaximumError(1.0e-8)
aa = vtk.vtkAssignAttribute()
aa.SetInputConnection(streamer.GetOutputPort())
def _plotInternal(self):
"""Overrides baseclass implementation."""
# Preserve time and z axis for plotting these inof in rendertemplate
projection = vcs.elements["projection"][self._gm.projection]
zaxis, taxis = self.getZandT()
# Streamline color
if (not self._gm.coloredbyvector):
ln_tmp = self._gm.linetype
if ln_tmp is None:
ln_tmp = "default"
try:
ln_tmp = vcs.getline(ln_tmp)
lwidth = ln_tmp.width[0] # noqa
lcolor = ln_tmp.color[0]
lstyle = ln_tmp.type[0] # noqa
except Exception:
lstyle = "solid" # noqa
lwidth = 1. # noqa
lcolor = [0., 0., 0., 100.]
if self._gm.linewidth is not None:
lwidth = self._gm.linewidth # noqa
if self._gm.linecolor is not None:
lcolor = self._gm.linecolor
# The unscaled continent bounds were fine in the presence of axis
# conversion, so save them here
continentBounds = vcs2vtk.computeDrawAreaBounds(
self._vtkDataSetBoundsNoMask, self._context_flipX,
self._context_flipY)
# Only scaling the data in the presence of axis conversion changes
# the seed points in any other cases, and thus results in plots
# different from the baselines but still fundamentally sound, it
# seems. Always scaling the data results in no differences in the
# plots between Context2D and the old baselines.
# Transform the input data
T = vtk.vtkTransform()
T.Scale(self._context_xScale, self._context_yScale, 1.)
self._vtkDataSetFittedToViewport = vcs2vtk.applyTransformationToDataset(
T, self._vtkDataSetFittedToViewport)
self._vtkDataSetBoundsNoMask = self._vtkDataSetFittedToViewport.GetBounds(
)
polydata = self._vtkDataSetFittedToViewport
plotting_dataset_bounds = self.getPlottingBounds()
x1, x2, y1, y2 = plotting_dataset_bounds
vp = self._resultDict.get('ratio_autot_viewport', [
self._template.data.x1, self._template.data.x2,
self._template.data.y1, self._template.data.y2
])
# view and interactive area
view = self._context().contextView
area = vtk.vtkInteractiveArea()
view.GetScene().AddItem(area)
drawAreaBounds = vcs2vtk.computeDrawAreaBounds(
self._vtkDataSetBoundsNoMask, self._context_flipX,
self._context_flipY)
[renWinWidth, renWinHeight] = self._context().renWin.GetSize()
geom = vtk.vtkRecti(int(round(vp[0] * renWinWidth)),
int(round(vp[2] * renWinHeight)),
int(round((vp[1] - vp[0]) * renWinWidth)),
int(round((vp[3] - vp[2]) * renWinHeight)))
vcs2vtk.configureContextArea(area, drawAreaBounds, geom)
dataLength = polydata.GetLength()
if (not self._gm.evenlyspaced):
# generate random seeds in a circle centered in the center of
# the bounding box for the data.
# by default vtkPointSource uses a global random source in vtkMath which is
# seeded only once. It makes more sense to seed a random sequence each time you draw
# the streamline plot.
pointSequence = vtk.vtkMinimalStandardRandomSequence()
pointSequence.SetSeedOnly(1177) # replicate the seed from vtkMath
seed = vtk.vtkPointSource()
seed.SetNumberOfPoints(self._gm.numberofseeds)
seed.SetCenter(polydata.GetCenter())
seed.SetRadius(dataLength / 2.0)
seed.SetRandomSequence(pointSequence)
seed.Update()
seedData = seed.GetOutput()
# project all points to Z = 0 plane
points = seedData.GetPoints()
for i in range(0, points.GetNumberOfPoints()):
p = list(points.GetPoint(i))
p[2] = 0
points.SetPoint(i, p)
if (self._gm.integratortype == 0):
integrator = vtk.vtkRungeKutta2()
elif (self._gm.integratortype == 1):
integrator = vtk.vtkRungeKutta4()
else:
if (self._gm.evenlyspaced):
warnings.warn(
"You cannot use RungeKutta45 for evenly spaced streamlines."
"Using RungeKutta4 instead")
integrator = vtk.vtkRungeKutta4()
else:
integrator = vtk.vtkRungeKutta45()
if (self._gm.evenlyspaced):
streamer = vtk.vtkEvenlySpacedStreamlines2D()
startseed = self._gm.startseed \
if self._gm.startseed else polydata.GetCenter()
streamer.SetStartPosition(startseed)
streamer.SetSeparatingDistance(self._gm.separatingdistance)
streamer.SetSeparatingDistanceRatio(
self._gm.separatingdistanceratio)
streamer.SetClosedLoopMaximumDistance(
self._gm.closedloopmaximumdistance)
else:
# integrate streamlines on normalized vector so that
# IntegrationTime stores distance
streamer = vtk.vtkStreamTracer()
streamer.SetSourceData(seedData)
streamer.SetIntegrationDirection(self._gm.integrationdirection)
streamer.SetMinimumIntegrationStep(self._gm.minimumsteplength)
streamer.SetMaximumIntegrationStep(self._gm.maximumsteplength)
streamer.SetMaximumError(self._gm.maximumerror)
streamer.SetMaximumPropagation(dataLength *
self._gm.maximumstreamlinelength)
streamer.SetInputData(polydata)
streamer.SetInputArrayToProcess(0, 0, 0, 0, "vector")
streamer.SetIntegrationStepUnit(self._gm.integrationstepunit)
streamer.SetInitialIntegrationStep(self._gm.initialsteplength)
streamer.SetMaximumNumberOfSteps(self._gm.maximumsteps)
streamer.SetTerminalSpeed(self._gm.terminalspeed)
streamer.SetIntegrator(integrator)
# add arc_length to streamlines
arcLengthFilter = vtk.vtkAppendArcLength()
arcLengthFilter.SetInputConnection(streamer.GetOutputPort())
arcLengthFilter.Update()
streamlines = arcLengthFilter.GetOutput()
# glyph seed points
contour = vtk.vtkContourFilter()
contour.SetInputConnection(arcLengthFilter.GetOutputPort())
contour.SetValue(0, 0.001)
if (streamlines.GetNumberOfPoints()):
r = streamlines.GetPointData().GetArray("arc_length").GetRange()
numberofglyphsoneside = self._gm.numberofglyphs // 2
for i in range(1, numberofglyphsoneside):
contour.SetValue(i, r[1] / numberofglyphsoneside * i)
else:
warnings.warn(
"No streamlines created. "
"The 'startseed' parameter needs to be inside the domain and "
"not over masked data.")
contour.SetInputArrayToProcess(0, 0, 0, 0, "arc_length")
# arrow glyph source
glyph2DSource = vtk.vtkGlyphSource2D()
glyph2DSource.SetGlyphTypeToTriangle()
glyph2DSource.SetRotationAngle(-90)
glyph2DSource.SetFilled(self._gm.filledglyph)
# arrow glyph adjustment
transform = vtk.vtkTransform()
transform.Scale(1., self._gm.glyphbasefactor, 1.)
transformFilter = vtk.vtkTransformFilter()
transformFilter.SetInputConnection(glyph2DSource.GetOutputPort())
transformFilter.SetTransform(transform)
transformFilter.Update()
glyphLength = transformFilter.GetOutput().GetLength()
# drawing the glyphs at the seed points
glyph = vtk.vtkGlyph2D()
glyph.SetInputConnection(contour.GetOutputPort())
glyph.SetInputArrayToProcess(1, 0, 0, 0, "vector")
glyph.SetSourceData(transformFilter.GetOutput())
glyph.SetScaleModeToDataScalingOff()
glyph.SetScaleFactor(dataLength * self._gm.glyphscalefactor /
glyphLength)
glyph.SetColorModeToColorByVector()
glyphMapper = vtk.vtkPolyDataMapper()
glyphActor = vtk.vtkActor()
mapper = vtk.vtkPolyDataMapper()
act = vtk.vtkActor()
glyph.Update()
glyphDataset = glyph.GetOutput()
streamer.Update()
lineDataset = streamer.GetOutput()
deleteLineColors = False
deleteGlyphColors = False
# color the streamlines and glyphs
cmap = self.getColorMap()
if (self._gm.coloredbyvector):
numLevels = len(self._contourLevels) - 1
while len(self._contourColors) < numLevels:
self._contourColors.append(self._contourColors[-1])
lut = vtk.vtkLookupTable()
lut.SetNumberOfTableValues(numLevels)
for i in range(numLevels):
r, g, b, a = self.getColorIndexOrRGBA(cmap,
self._contourColors[i])
lut.SetTableValue(i, r / 100., g / 100., b / 100., a / 100.)
lut.SetVectorModeToMagnitude()
if numpy.allclose(self._contourLevels[0], -1.e20):
lmn = self._vectorRange[0]
else:
lmn = self._contourLevels[0][0]
if numpy.allclose(self._contourLevels[-1], 1.e20):
lmx = self._vectorRange[1]
else:
lmx = self._contourLevels[-1][-1]
lut.SetRange(lmn, lmx)
mapper.ScalarVisibilityOn()
mapper.SetLookupTable(lut)
mapper.UseLookupTableScalarRangeOn()
mapper.SetScalarModeToUsePointFieldData()
mapper.SelectColorArray("vector")
lineAttrs = lineDataset.GetPointData()
lineData = lineAttrs.GetArray("vector")
if lineData and numLevels:
lineColors = lut.MapScalars(lineData,
vtk.VTK_COLOR_MODE_DEFAULT, 0)
deleteLineColors = True
else:
print(
'WARNING: streamline pipeline cannot map scalars for "lineData", using solid color'
)
numTuples = lineDataset.GetNumberOfPoints()
color = [0, 0, 0, 255]
lineColors = vcs2vtk.generateSolidColorArray(numTuples, color)
glyphMapper.ScalarVisibilityOn()
glyphMapper.SetLookupTable(lut)
glyphMapper.UseLookupTableScalarRangeOn()
glyphMapper.SetScalarModeToUsePointFieldData()
glyphMapper.SelectColorArray("VectorMagnitude")
glyphAttrs = glyphDataset.GetPointData()
glyphData = glyphAttrs.GetArray("VectorMagnitude")
if glyphData and numLevels:
glyphColors = lut.MapScalars(glyphData,
vtk.VTK_COLOR_MODE_DEFAULT, 0)
deleteGlyphColors = True
else:
print(
'WARNING: streamline pipeline cannot map scalars for "glyphData", using solid color'
)
numTuples = glyphDataset.GetNumberOfPoints()
color = [0, 0, 0, 255]
glyphColors = vcs2vtk.generateSolidColorArray(numTuples, color)
else:
mapper.ScalarVisibilityOff()
glyphMapper.ScalarVisibilityOff()
if isinstance(lcolor, (list, tuple)):
r, g, b, a = lcolor
else:
r, g, b, a = cmap.index[lcolor]
act.GetProperty().SetColor(r / 100., g / 100., b / 100.)
glyphActor.GetProperty().SetColor(r / 100., g / 100., b / 100.)
fixedColor = [
int((r / 100.) * 255),
int((g / 100.) * 255),
int((b / 100.) * 255), 255
]
numTuples = lineDataset.GetNumberOfPoints()
lineColors = vcs2vtk.generateSolidColorArray(numTuples, fixedColor)
numTuples = glyphDataset.GetNumberOfPoints()
glyphColors = vcs2vtk.generateSolidColorArray(
numTuples, fixedColor)
# Add the streamlines
lineItem = vtk.vtkPolyDataItem()
lineItem.SetPolyData(lineDataset)
lineItem.SetScalarMode(vtk.VTK_SCALAR_MODE_USE_POINT_DATA)
lineItem.SetMappedColors(lineColors)
if deleteLineColors:
lineColors.FastDelete()
area.GetDrawAreaItem().AddItem(lineItem)
# Add the glyphs
glyphItem = vtk.vtkPolyDataItem()
glyphItem.SetPolyData(glyphDataset)
glyphItem.SetScalarMode(vtk.VTK_SCALAR_MODE_USE_POINT_DATA)
glyphItem.SetMappedColors(glyphColors)
if deleteGlyphColors:
glyphColors.FastDelete()
area.GetDrawAreaItem().AddItem(glyphItem)
plotting_dataset_bounds = self.getPlottingBounds()
vp = self._resultDict.get('ratio_autot_viewport', [
self._template.data.x1, self._template.data.x2,
self._template.data.y1, self._template.data.y2
])
kwargs = {
'vtk_backend_grid':
self._vtkDataSet,
'dataset_bounds':
self._vtkDataSetBounds,
'plotting_dataset_bounds':
plotting_dataset_bounds,
"vtk_dataset_bounds_no_mask":
self._vtkDataSetBoundsNoMask,
'vtk_backend_geo':
self._vtkGeoTransform,
"vtk_backend_draw_area_bounds":
continentBounds,
"vtk_backend_viewport_scale":
[self._context_xScale, self._context_yScale]
}
if ('ratio_autot_viewport' in self._resultDict):
kwargs["ratio_autot_viewport"] = vp
self._resultDict.update(self._context().renderTemplate(
self._template, self._data1, self._gm, taxis, zaxis, **kwargs))
if (self._gm.coloredbyvector):
self._resultDict.update(self._context().renderColorBar(
self._template, self._contourLevels, self._contourColors, None,
self.getColorMap()))
kwargs['xaxisconvert'] = self._gm.xaxisconvert
kwargs['yaxisconvert'] = self._gm.yaxisconvert
if self._data1.getAxis(-1).isLongitude() and self._data1.getAxis(
-2).isLatitude():
self._context().plotContinents(
self._plot_kargs.get("continents", self._useContinents),
plotting_dataset_bounds, projection, self._dataWrapModulo, vp,
self._template.data.priority, **kwargs)
self._resultDict["vtk_backend_actors"] = [[
lineItem, plotting_dataset_bounds
]]
self._resultDict["vtk_backend_luts"] = [[None, None]]
def render_velocity(self):
self.ren.RemoveActor(self.velocity_actor)
if not self.config["velocity"][0]:
return
data_path = compose_file_name(self.base_dir, "/velocity",
self.data_folders["velocity"],
self.time_step)
reader = vtk.vtkXMLImageDataReader()
reader.SetFileName(data_path)
reader.Update()
rake = vtk.vtkLineSource()
cur_seeds = seeds[self.time_step - 1]
rake.SetPoint1(cur_seeds[0][0], cur_seeds[0][1], cur_seeds[0][2])
rake.SetPoint2(cur_seeds[1][0], cur_seeds[1][1], cur_seeds[1][2])
rake.SetResolution(1000)
integ = vtk.vtkRungeKutta45()
sl = vtk.vtkStreamTracer()
sl.SetInputData(reader.GetOutput())
sl.SetSourceConnection(rake.GetOutputPort())
sl.SetIntegrator(integ)
sl.SetMaximumPropagation(10000)
sl.SetInitialIntegrationStep(10)
sl.SetIntegrationDirectionToBoth()
transform = vtk.vtkTransform()
transform.Scale(1, 1, 30)
transform.Update()
transform_filter = vtk.vtkTransformFilter()
transform_filter.SetInputConnection(sl.GetOutputPort())
transform_filter.SetTransform(transform)
transform_filter.Update()
# the filter generates (only when multiple lines are input).
streamTube = vtk.vtkTubeFilter()
streamTube.SetInputConnection(transform_filter.GetOutputPort())
streamTube.SetInputArrayToProcess(
1, 0, 0, vtk.vtkDataObject.FIELD_ASSOCIATION_POINTS, "vectors")
streamTube.SetRadius(2)
streamTube.SetNumberOfSides(12)
streamTube.SetVaryRadiusToVaryRadiusByVector()
# streamTube.GetOutput().GetPointData().SetActiveScalars("Vorticity")
# myrange = reader.GetOutput().GetPointData().GetScalars().GetRange()
#
# color = vtk.vtkColorTransferFunction()
# color.AddRGBPoint(myrange[0], 0., 0., 1)
# color.AddRGBPoint(myrange[1], 1., 0., 0)
mapper = vtk.vtkPolyDataMapper()
mapper.SetInputConnection(streamTube.GetOutputPort())
# mapper.SetScalarRange(reader.GetOutput().GetPointData().GetScalars().GetRange())
# mapper.SetLookupTable(color)
actor = vtk.vtkActor()
actor.SetMapper(mapper)
actor.GetProperty().SetOpacity(0.3)
self.velocity_actor = actor
self.ren.AddActor(actor)
iren = vtk.vtkRenderWindowInteractor()
iren.SetRenderWindow(renWin)
# read data
#
reader = vtk.vtkStructuredGridReader()
reader.SetFileName("" + str(VTK_DATA_ROOT) + "/Data/office.binary.vtk")
reader.Update()
#force a read to occur
outline = vtk.vtkStructuredGridOutlineFilter()
outline.SetInputConnection(reader.GetOutputPort())
mapOutline = vtk.vtkPolyDataMapper()
mapOutline.SetInputConnection(outline.GetOutputPort())
outlineActor = vtk.vtkActor()
outlineActor.SetMapper(mapOutline)
outlineActor.GetProperty().SetColor(0, 0, 0)
rk = vtk.vtkRungeKutta45()
# Create source for streamtubes
streamer = vtk.vtkStreamTracer()
streamer.SetInputConnection(reader.GetOutputPort())
streamer.SetStartPosition(0.1, 2.1, 0.5)
streamer.SetMaximumPropagation(500)
streamer.SetIntegrationStepUnit(2)
streamer.SetMinimumIntegrationStep(0.1)
streamer.SetMaximumIntegrationStep(1.0)
streamer.SetInitialIntegrationStep(0.2)
streamer.SetIntegrationDirection(0)
streamer.SetIntegrator(rk)
streamer.SetRotationScale(0.5)
streamer.SetMaximumError(1.0e-8)
aa = vtk.vtkAssignAttribute()
aa.SetInputConnection(streamer.GetOutputPort())
