Slicer3:2DPlotting - Revision history

Pieper: /* Tutorial: Plotting Curve from Python Interactor */

2009-11-06T18:37:12Z

Tutorial: Plotting Curve from Python Interactor

2009-08-21T12:41:01Z

Desgin

2009-08-21T04:19:49Z

Tutorial: Plotting Curve from Python Interactor

2009-08-21T04:18:16Z

Tutorial

2009-08-21T04:16:43Z

Tutorial

2009-08-21T04:05:44Z

Tutorial

2009-08-21T03:52:43Z

Tutorial

2009-08-21T03:50:39Z

Tutorial

2009-08-21T03:48:42Z

Tutorial

2009-08-21T03:46:09Z

Desgin

← Older revision		Revision as of 18:37, 6 November 2009
Line 72:		Line 72:
	\|[[Image:Slicer3_2DPlotting_PlotResult2.png\|thumb\|280px\|Plot after calling SetColor(), SetXLabel and SetYLabel().]]		\|[[Image:Slicer3_2DPlotting_PlotResult2.png\|thumb\|280px\|Plot after calling SetColor(), SetXLabel and SetYLabel().]]
	\|}		\|}
		+
		+	== Stand alone tcl example for use in slicer ==
		+	http://viewvc.slicer.org/viewcvs.cgi/trunk/Modules/FourDAnalysis/Testing/TestPlotGraph.tcl?rev=10892&view=markup

@@ Line 4: / Line 4: @@
 ==Desgin==
 The 2D plotting is implemented as a set of classes consisting of
-*vtkSliceerXYPlotWidget: A widget class to display a graph. This widget observes a plot manager node (vtkMRMLXYPlotManagerNode), and repaints the graph when it receives UpdateGraphEvent from the plot manager node.
+*vtkSlicerXYPlotWidget: A widget class to display a graph. This widget observes a plot manager node (vtkMRMLXYPlotManagerNode), and repaints the graph when it receives UpdateGraphEvent from the plot manager node.
 *vtkMRMLXYPlotManagerNode: An MRML node class to store graph properties as well as pointers to plot data nodes (vtkMRMLArrayPlotNode).
 *vtkMRMLArrayPlotNode: An MRML node class to hold line properties and a pointer to 1D array node (vtkMRMLDoubleArrayNode), which hold array data to be plotted.

@@ Line 59: / Line 59: @@
 After Refresh() function call, the XY plot widget show the sin curve.
+{|
+|[[Image:Slicer3_2DPlotting_PlotResult1.png|thumb|280px|The initial plotting result.]]
 . You my decorate the graph by calling the following functions:
@@ Line 67: / Line 68: @@
   >> pmnode.SetYLabel('Intensity')
   >> pmnode.Refresh()

@@ Line 15: / Line 15: @@
 Currently, the 2D plotting functionality is part of 4D Analysis Module and you need to build the module manually. Please refer 4D Analysis Module for detailed instruction.
-==Tutorial==
+==Tutorial: Plotting Curve from Python Interactor==
 Here is a small instruction to use the plotting function from Python interface.

← Older revision		Revision as of 04:16, 21 August 2009
Line 58:		Line 58:

	After Refresh() function call, the XY plot widget show the sin curve.		After Refresh() function call, the XY plot widget show the sin curve.
		+
		+
		+
		+
		+	10. You my decorate the graph by calling the following functions:
		+	>> arrayPlotNode.SetColor(1.0, 0.0, 0.0)
		+	>> pmnode.SetXLabel('Time (t)')
		+	>> pmnode.SetYLabel('Intensity')
		+	>> pmnode.Refresh()

@@ Line 43: / Line 43: @@
   >> arrayNode.SetArray(darray)
-. Create an array plot node.
+. Create an array plot node and set the array node.
   >> arrayPlotNode = Slicer.slicer.vtkMRMLArrayPlotNode()
   >> scene.AddNode(arrayPlotNode)
 . Obtain the plot manager node, which has already been loaded in the 4D Analysis module. We assume that there is only one manager node in 3D Slicer.

@@ Line 49: / Line 49: @@
 . Obtain the plot manager node, which has already been loaded in the 4D Analysis module. We assume that there is only one manager node in 3D Slicer.
   >> pmnode = scene.GetNodeByID('vtkMRMLXYPlotManagerNode1')
 . Add the array plot node to the plot manager node.

@@ Line 34: / Line 34: @@
 . Substitute dummy values into the array.
-  >> a[:, 0] = numpy.arange(0, 1.0, 0.1) * numpy.pi
+  >> a[:, 0] = numpy.arange(0, 1.1, 0.1) * numpy.pi
   >> a[:, 1] = numpy.sin(a[:, 0])
   >> a[:, 2] = 1

@@ Line 31: / Line 31: @@
   >> darray.SetNumberOfComponents(3)
   >> darray.SetNumberOfTuples(11)
 . Substitute dummy values into the array.