本文整理汇总了Python中vtk.vtkTable函数的典型用法代码示例。如果您正苦于以下问题：Python vtkTable函数的具体用法？Python vtkTable怎么用？Python vtkTable使用的例子？那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。
在下文中一共展示了vtkTable函数的20个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于我们的系统推荐出更棒的Python代码示例。
示例1: testLinePlot
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()
开发者ID:BobObara，项目名称:VTK，代码行数:60，代码来源:TestLinePlot.py
示例2: make_spreadsheet
def make_spreadsheet(column_names, table):
# column_names is a list of strings
# table is a 2D numpy.ndarray
# returns a vtkTable object that stores the table content
# Create a vtkTable to store the output.
rows = table.shape[0]
if (table.shape[1] != len(column_names)):
print('Warning: table number of columns differs from number of '
'column names')
return
from vtk import vtkTable, vtkFloatArray
vtk_table = vtkTable()
for (column, name) in enumerate(column_names):
array = vtkFloatArray()
array.SetName(name)
array.SetNumberOfComponents(1)
array.SetNumberOfTuples(rows)
vtk_table.AddColumn(array)
for row in range(0, rows):
array.InsertValue(row, table[row, column])
return vtk_table
开发者ID:OpenChemistry，项目名称:tomviz，代码行数:26，代码来源:utils.py
示例3: testMultiTreeOutputs
def testMultiTreeOutputs(self):
outputs = vtk.vtkStringArray()
outputs.SetNumberOfComponents(1)
outputs.SetNumberOfTuples(2)
outputs.SetValue(0, "tree1")
outputs.SetValue(1, "tree2")
rcal = vtk.vtkRCalculatorFilter()
rcal.SetRscript("library(ape)\n\
tree1 = read.tree(text=\"" + tree_data + "\")\n\
tree2 = read.tree(text=\"" + tree_data + "\")\n")
rcal.GetTrees(outputs)
input = vtk.vtkTable()
rcal.SetInputData(input)
rcal.Update()
compo = rcal.GetOutput()
tree1 = compo.GetPieceAsDataObject(0)
self.assertTrue(tree1.IsA('vtkTree'))
tree2 = compo.GetPieceAsDataObject(1)
self.assertTrue(tree2.IsA('vtkTree'))
开发者ID:0004c，项目名称:VTK，代码行数:25，代码来源:TestRCalculatorFilter.py
示例4: generateParallelCoordinatesPlot
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()
开发者ID:imclab，项目名称:vistrails，代码行数:26，代码来源:ParallelCoordinatesModule.py
示例5: addPlot
def addPlot(chart, reader, name):
data1 = reader.GetOutput()
coords = vtk.vtkFloatArray()
coords.SetName("Coords")
for i in range(data1.GetNumberOfPoints()):
x,y,z = data1.GetPoint(i)
coords.InsertNextValue(y)
table = vtk.vtkTable()
table.AddColumn(coords)
table.AddColumn(data1.GetPointData().GetArray("S_g"))
table.AddColumn(data1.GetPointData().GetArray("S_n"))
table.AddColumn(data1.GetPointData().GetArray("S_w"))
line1 = chart.AddPlot(vtk.vtkChart.LINE)
line1.SetInput(table, 0, 1)
line1.SetMarkerStyle(vtk.vtkPlotPoints.CROSS)
line2 = chart.AddPlot(vtk.vtkChart.LINE)
line2.SetInput(table, 0, 2)
line2.SetMarkerStyle(vtk.vtkPlotPoints.PLUS)
line3 = chart.AddPlot(vtk.vtkChart.LINE)
line3.SetInput(table, 0, 3)
line3.SetMarkerStyle(vtk.vtkPlotPoints.CIRCLE)
开发者ID:alyupa，项目名称:multiphase-flow-modeling，代码行数:27，代码来源:zsatu-single.py
示例6: addPlot
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()
开发者ID:CompuCell3D，项目名称:CompuCell3D，代码行数:60，代码来源:PlotManagerVTK.py
示例7: testTableInputOutput
def testTableInputOutput(self):
rcal = vtk.vtkRCalculatorFilter()
rcal.SetRscript("output = input\n");
rcal.PutTable('input')
rcal.GetTable('output')
value = 1
array = vtk.vtkDoubleArray()
array.SetNumberOfComponents(1)
array.SetNumberOfTuples(4)
array.SetName('test')
for i in range(0, 4):
array.SetValue(i, value)
value += 1
input = vtk.vtkTable()
input.AddColumn(array)
rcal.SetInputData(input)
rcal.Update()
t1 = rcal.GetOutput().GetColumnByName('test')
value = 1
for i in range(0, t1.GetNumberOfTuples()):
self.assertEqual(value, t1.GetValue(i))
value += 1
开发者ID:0004c，项目名称:VTK，代码行数:27，代码来源:TestRCalculatorFilter.py
示例8: testBarGraph
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()
开发者ID:kramarb，项目名称:VTK，代码行数:57，代码来源:TestBarGraph.py
示例9: generateParallelCoordinatesChart
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
开发者ID:imclab，项目名称:vistrails，代码行数:52，代码来源:ParallelCoordinatesModule.py
示例10: GetNodeOneScaleCoeffTable
def GetNodeOneScaleCoeffTable(self, node_id):
"""Returns a table of the wavelet coefficients at a single node at a single
scale for plotting on a scatter plot. Relying on icicle_view already having
called GetWaveletCoeffImages() with correct positions of leaf nodes in view,
otherwise just using original Matlab-saved LeafNodes ordering.
This version supports category labels."""
if self.data_loaded:
# For a given node_id, concatenate wavelet coeffs in proper order
# (according to leaf node positions in icicle view if it was set already)
# Columns of table will be rows of the wavelet coeffs image
scale = self.Scales[node_id]
leaf_offspring = N.array(list(self.get_leaf_children(self.cp, node_id)))
offspring_idxs = self.LeafNodesImap[leaf_offspring]
offspring_pos = self.mapped_leaf_pos[offspring_idxs]
sorted_offspring_pos_idxs = N.argsort(offspring_pos)
sorted_offspring_idxs = offspring_idxs[sorted_offspring_pos_idxs]
img_tuple = tuple(pp for pp in self.CelCoeffs[sorted_offspring_idxs, scale])
# The image comes out with shape (npts, ndims)
# May need to reorder (reverse) this...?
img = N.concatenate(img_tuple, axis=0)
table = vtk.vtkTable()
for ii in range(img.shape[1]):
column = VN.numpy_to_vtk(img[:,ii].copy(), deep=True)
column.SetName(str(scale) + '.' + str(ii))
table.AddColumn(column)
IDtuple = tuple(self.PointsInNet[xx] for xx in self.LeafNodes[sorted_offspring_idxs])
IDarray = N.concatenate(IDtuple)
# Trying to set PedigreeIds to that parallel coords selections have correct IDs
IDvtk = VN.numpy_to_vtk(IDarray, deep=True)
IDvtk.SetName('pedigree_ids')
table.AddColumn(IDvtk)
table.GetRowData().SetActivePedigreeIds('pedigree_ids')
# Adding in category labels
# Name needs to end in _ids so plots will ignore it
if self.hasLabels:
for ii in range(self.cat_labels.shape[0]):
CATvtk = VN.numpy_to_vtk(self.cat_labels[ii,IDarray], deep=True)
CATvtk.SetName(self.label_names[ii])
table.AddColumn(CATvtk)
return table
else:
raise IOError, "Can't get image until data is loaded successfully"
开发者ID:emonson，项目名称:MultiScaleSVD，代码行数:52，代码来源:data_source.py
示例11: createTable
def createTable(self, matrix):
table = vtk.vtkTable()
for col, attr in zip(matrix.values.T, matrix.attributes):
column = VN.numpy_to_vtk(col.copy(), deep=True)
column.SetName(attr)
table.AddColumn(column)
self.chart.GetPlot(0).SetInput(table)
min_ = matrix.values.min()-0.01
max_ = matrix.values.max()+0.01
for i in range(self.chart.GetNumberOfAxes()):
self.chart.GetAxis(i).SetRange(min_, max_)
self.chart.GetAxis(i).SetBehavior(vtk.vtkAxis.FIXED);
开发者ID:imclab，项目名称:vistrails，代码行数:13，代码来源:plots.py
示例12: testTableOutput
def testTableOutput(self):
rcal = vtk.vtkRCalculatorFilter()
rcal.SetRscript("output = list(test=c(1,2,3,4))\n");
rcal.GetTable('output')
input = vtk.vtkTable()
rcal.SetInputData(input)
rcal.Update()
t1 = rcal.GetOutput().GetColumnByName('test')
value = 1
for i in range(0, t1.GetNumberOfTuples()):
self.assertEqual(value, t1.GetValue(i))
value += 1
开发者ID:0004c，项目名称:VTK，代码行数:15，代码来源:TestRCalculatorFilter.py
示例13: addPlot
def addPlot(chart, reader, name):
data1 = reader.GetOutput()
coords = vtk.vtkFloatArray()
coords.SetName("Coords")
for i in range(data1.GetNumberOfPoints()):
x,y,z = data1.GetPoint(i)
coords.InsertNextValue(y)
scalars = data1.GetPointData().GetArray("P_w")
scalars.SetName(name)
table = vtk.vtkTable()
table.AddColumn(coords)
table.AddColumn(scalars)
line1 = chart.AddPlot(vtk.vtkChart.LINE)
line1.SetInput(table, 0, 1)
开发者ID:alyupa，项目名称:multiphase-flow-modeling，代码行数:19，代码来源:zpres-single.py
示例14: createSource
def createSource(self):
r = vtk.vtkEnsembleSource()
aColumn = vtk.vtkIntArray()
aColumn.SetName("Resolution")
nrows = len(TestEnsemble.resolutions)
for res in TestEnsemble.resolutions:
aColumn.InsertNextValue(res)
table = vtk.vtkTable()
table.SetNumberOfRows(nrows)
table.GetRowData().AddArray(aColumn)
r.SetMetaData(table)
for res in TestEnsemble.resolutions:
c = vtk.vtkConeSource()
c.SetResolution(res)
r.AddMember(c)
return r
开发者ID:0004c，项目名称:VTK，代码行数:19，代码来源:TestEnsemble.py
示例15: PlotSelectedData
def PlotSelectedData(data, state, view, text_init):
nb_sources = 0
for i in range(data.GetPointData().GetNumberOfArrays()):
if data.GetPointData().GetGlobalIds('Potentials-'+str(i)):
nb_sources += 1
view.GetRenderer().RemoveActor2D(text_init)
chart = vtk.vtkChartXY()
view.GetScene().RemoveItem(0)
view.GetScene().AddItem(chart)
chart.SetShowLegend(True)
table = vtk.vtkTable()
X = vtk.vtkDoubleArray(); X.SetName("X")
if state:
numPoints = data.GetNumberOfCells()
chart.GetAxis(0).SetTitle('Current');
else:
numPoints = data.GetNumberOfPoints()
chart.GetAxis(0).SetTitle('Potential');
chart.GetAxis(0).SetRange(0,nb_sources)
for j in range(nb_sources):
X.InsertNextValue(j)
table.AddColumn(X)
for i in range(numPoints):
Y = vtk.vtkDoubleArray()
if state:
Y.SetName("id"+str(data.GetCellData().GetGlobalIds('Indices').GetValue(i)))
else:
Y.SetName("id"+str(data.GetPointData().GetGlobalIds('Indices').GetValue(i)))
for j in range(nb_sources):
if state:
Y.InsertNextValue(data.GetCellData().GetGlobalIds('Currents-'+str(j)).GetValue(i))
else:
Y.InsertNextValue(data.GetPointData().GetGlobalIds('Potentials-'+str(j)).GetValue(i))
table.AddColumn(Y)
# Now add the line plots
line = chart.AddPlot(0)
line.SetInput(table,0,i+1)
line.SetColor(0,1,0)
line.SetWidth(1.0)
view.GetRenderWindow().Render()
开发者ID:agramfort，项目名称:openmeeg_viz，代码行数:40，代码来源:om_display.py
示例16: testDistanceCalculator
def testDistanceCalculator(self):
"See whether the distance calculator evaluates functions properly."
xv = vtk.vtkDoubleArray()
yv = vtk.vtkDoubleArray()
xv.SetName( 'x' )
yv.SetName( 'y' )
tab = vtk.vtkTable()
xv.InsertNextValue( 0.0 )
xv.InsertNextValue( 1.0 )
xv.InsertNextValue( 0.0 )
xv.InsertNextValue( 1.0 )
xv.InsertNextValue( 5.0 )
yv.InsertNextValue( 0.0 )
yv.InsertNextValue( 0.0 )
yv.InsertNextValue( 1.0 )
yv.InsertNextValue( 1.0 )
yv.InsertNextValue( 12.0 )
tab.AddColumn( xv )
tab.AddColumn( yv )
km = vtk.vtkKMeansStatistics()
km.SetDefaultNumberOfClusters( 1 )
df = vtk.vtkKMeansDistanceFunctorCalculator()
km.SetDistanceFunctor( df )
df.SetDistanceExpression( 'sqrt( (x0-y0)*(x0-y0) + (x1-y1)*(x1-y1) )' )
km.SetInput( tab )
km.SetColumnStatus( 'x', 1 )
km.SetColumnStatus( 'y', 1 )
km.RequestSelectedColumns()
km.SetLearnOption( 1 )
km.SetDeriveOption( 1 )
km.SetAssessOption( 1 )
km.Update()
av = km.GetOutput( 0 )
# We should always converge to a cluster center at [ 1.4, 2.8 ]
# These distances are the distances of each input observation to that cluster center:
dists = [ 3.1304951684997055, 2.8284271247461898, 2.2803508501982757, 1.8439088914585773, 9.879271228182775 ]
for i in range(5):
self.failUnlessAlmostEqual( dists[i], av.GetColumn( 2 ).GetValue( i ) )
开发者ID:Armand0s，项目名称:homemade_vtk，代码行数:38，代码来源:kMeansDistanceCalculator.py
示例17: calcPCA
def calcPCA(xarray, yarray):
''' Returns the eigenvalue the covariance
matrix for the terminal particle positions.
'''
datasetTable = vtk.vtkTable()
datasetTable.AddColumn(xarray)
datasetTable.AddColumn(yarray)
pcaStatistics = vtk.vtkPCAStatistics()
pcaStatistics.SetInputData( vtk.vtkStatisticsAlgorithm.INPUT_DATA, datasetTable )
pcaStatistics.SetColumnStatus('x', 1 )
pcaStatistics.SetColumnStatus('y', 1 )
pcaStatistics.RequestSelectedColumns()
pcaStatistics.SetDeriveOption(True)
pcaStatistics.Update()
eigenvalues = vtk.vtkDoubleArray()
pcaStatistics.GetEigenvalues(eigenvalues)
return eigenvalues.GetValue(0)
开发者ID:behollis，项目名称:vtk-gsoc，代码行数:23，代码来源:parallelDatapointsPCA.py
示例18: testMultiTableOutputs
def testMultiTableOutputs(self):
outputs = vtk.vtkStringArray()
outputs.SetNumberOfComponents(1)
outputs.SetNumberOfTuples(3)
outputs.SetValue(0, "output1")
outputs.SetValue(1, "output2")
outputs.SetValue(2, "output3")
rcal = vtk.vtkRCalculatorFilter()
rcal.SetRscript("output1 = list(test=c(1,2,3,4))\n\
output2 = list(test=c(5,6,7,8))\n\
output3 = list(test=c(9,10,11,12))\n");
rcal.GetTables(outputs)
input = vtk.vtkTable()
rcal.SetInputData(input)
rcal.Update()
t1 = rcal.GetOutput().GetPieceAsDataObject(0).GetColumnByName('test')
value = 1
for i in range(0, t1.GetNumberOfTuples()):
self.assertEqual(value, t1.GetValue(i))
value += 1
t2 = rcal.GetOutput().GetPieceAsDataObject(1).GetColumnByName('test')
for i in range(0, t2.GetNumberOfTuples()):
self.assertEqual(value, t2.GetValue(i))
value += 1
t3 = rcal.GetOutput().GetPieceAsDataObject(2).GetColumnByName('test')
for i in range(0, t3.GetNumberOfTuples()):
self.assertEqual(value, t3.GetValue(i))
value += 1
开发者ID:0004c，项目名称:VTK，代码行数:36，代码来源:TestRCalculatorFilter.py
示例19: __init__
def __init__(self, x_data=None, y_data=None, **kwargs):
super(Line, self).__init__(**kwargs)
# Storage for vtk line/point object
self._vtkplot = None
# Build the vtkTable that stores the data
x = vtk.vtkFloatArray()
x.SetName('x-data')
y = vtk.vtkFloatArray()
y.SetName('y-data')
self._vtktable = vtk.vtkTable()
self._vtktable.AddColumn(x)
self._vtktable.AddColumn(y)
# Storage for tracing lines
self._xtracer = None
self._ytracer = None
# Set x,y data
if x_data:
self.setOption('x', x_data)
if y_data:
self.setOption('y', y_data)
开发者ID:FHilty，项目名称:moose，代码行数:24，代码来源:Line.py
示例20: testStackedPlot
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()
开发者ID:Bastl34，项目名称:VTK，代码行数:82，代码来源:TestStackedPlot.py
注：本文中的vtk.vtkTable函数示例由纯净天空整理自Github/MSDocs等源码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。 |
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