Hello World:<br><br>I got some problem when using &#39;SetInputArrayToProcess&#39; to get the specified data I want, here&#39;s the details:<br><br>I have an UnstructuredGrid data file(generated by opemfoam) in hand containing several arrays of scalar(temperature, pressure etc.) data and one array of vector(air current velocity) data of a room like this:<br>
<br># vtk DataFile Version 2.0<br>outlet<br>ASCII<br>DATASET UNSTRUCTURED_GRID<br>POINTS 116 float<br>......<br>CELLS 57 285<br>......<br>CELL_TYPES 57<br>......<br>CELL_DATA 57<br>FIELD attributes 6<br>patchID 1 57 float<br>
......<br>p 1 57 float<br>......<br>nut 1 57 float<br>......<br>T 1 57 float<br>......<br>k 1 57 float<br>......<br>epsilon 1 57 float<br>......<br>U 3 57 float<br>......<br><br>POINT_DATA  116<br>FIELD attributes 5<br>p 1 116 float<br>
......<br>nut 1 116 float<br>......<br>T 1 116 float<br>......<br>k 1 116 float<br>......<br>epsilon 1 116 float<br>......<br>U 3 116 float<br>......<br><br>Now I wish to visualize the array of &quot;T&quot;(Temperature) and &quot;U&quot;(Air current volocity), and after some efforts I achieved to visualize the latter one, which I thought may be the harder, by using a vtkGlyph3D and vtkArrowSource. I used &#39;glyp.SetInputArrayToProcess(1,0,0,0,&quot;U&quot;)&#39; to correctly specify the vector data array I want, it works.<br>
<br>However, when I switch to specify the scalar data &quot;T&quot; using &#39;mapper.SetInputArrayToProcess(0,0,0,0,&quot;T&quot;)&#39;, the program dose not work, seems to find no data to process in its pipeline.<br><br>
Below is the pipeline part of my code that <span style="color:rgb(255,0,0)">can work</span> with &quot;volicity&quot; visulization:<br><br>vtkUnstructuredGridReader reader = new vtkUnstructuredGridReader();<br>reader.setFileName(...);<br>
<br>vtkCutter sliceCutter = new vtkCutter();<br>vtkPlane slicePlane = new vtkPlane(); // slicePlane is controlled by a vtkImplicitPlaneWidget<br>sliceCutter.SetCutFunction(slicePlane);<br>sliceCutter.SetInput(reader.GetOutput());<br>
<br>vtkArrowSource arrow= new vtkArrowSource();<br>// ... some configuration of the arrow ...<br><br>vtkGlyph3D glyp = new vtkGlyph3D();<br>glyp.SetSource(arrow.GetOutput());<br>glyp.SetInput(sliceCutter.GetOutput());<br>
<span style="color:rgb(255,0,0)">glyp.SetInputArrayToProcess(1,0,0,0,&quot;U&quot;); // vectors</span><br>glyp.SetScaleFactor(0.075);<br>glyp.SetScaleFactor(10);<br>glyp.SetColorModeToColorByVector();<br>glyp.SetScaleModeToScaleByVector();<br>
<br>sliceMapper = new vtkPolyDataMapper();<br>sliceMapper.SetInput(glyp.GetOutput());<br>....<br><br>The result is obvious:<br><img src="data:image/png;base64,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" alt=""><br>
<br>
Below is the code that <span style="color:rgb(255,0,0)">can not work</span> with &quot;temperature&quot; visulization:<br>(When it comes to scalar data &quot;T&quot;, I removed the glyp3D, changed the pipeline simply to this:)<br>
<br>vtkUnstructuredGridReader reader = new vtkUnstructuredGridReader();<br>reader.setFileName(...)<br>vtkCutter sliceCutter = new vtkCutter();<br>vtkPlane slicePlane = new vtkPlane();<br>sliceCutter.SetCutFunction(slicePlane);<br>
sliceCutter.SetInput(reader.GetOutput());<br><br>sliceMapper = new vtkPolyDataMapper();<br>sliceMapper.SetInput(sliceCutter.GetOutput());<br><br><span style="color:rgb(255,0,0)">sliceMapper.SetInputArrayToProcess(0,0,0,0,&quot;T&quot;); // scalar</span><br>

// Here I also tried reader/sliceCutter.SetInputArrayToProcess(0,0,0,0,&quot;T&quot;), and even removed this sentence, only to get the same result.<br><br>vtkActor sliceActor = new vtkActor();<br>sliceActor.SetMapper(sliceMapper);<br>
<br>The result is always a strange white plate:<br clear="all"><img src="data:image/png;base64,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" alt=""><br>
<br>Could anyone tell me what&#39;s wrong with my scalar visualization pipeline or how to retrieve the specified scalar data I want?<br><br>I uploaded the code files and data file as attachments. Due to the real temperature data file is really big, I replaced it with a smaller data file with the same data structure whose scalar data array is named &#39;p&#39;.<br>
<br>Really thanks very much for reading such a long question of mine :)<br><br>-- <br><div><div>Sincerely,</div><div>Kenn<br></div>
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