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Updated plotting functions for MT
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+44
-1
@@ -141,7 +141,6 @@ class TensorMeshIO(object):
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vtkObj.GetCellData().AddArray(vtkDoubleArr)
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# Set the active scalar
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vtkObj.GetCellData().SetActiveScalars(models.keys()[0])
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# vtkObj.Update()
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# Check the extension of the fileName
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ext = os.path.splitext(fileName)[1]
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@@ -158,6 +157,50 @@ class TensorMeshIO(object):
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vtrWriteFilter.SetFileName(fileName)
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vtrWriteFilter.Update()
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def _toVTRObj(mesh,models=None):
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"""
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Makes and saves a VTK rectilinear file (vtr) for a simpeg Tensor mesh and model.
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Input:
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:param str, path to the output vtk file
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:param mesh, SimPEG TensorMesh object - mesh to be transfer to VTK
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:param models, dictionary of numpy.array - Name('s) and array('s). Match number of cells
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"""
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# Import
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from vtk import vtkRectilinearGrid as rectGrid, VTK_VERSION
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from vtk.util.numpy_support import numpy_to_vtk
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# Deal with dimensionalities
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if mesh.dim >= 1:
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vX = mesh.vectorNx
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xD = mesh.nNx
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yD,zD = 1,1
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vY, vZ = np.array([0,0])
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if mesh.dim >= 2:
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vY = mesh.vectorNy
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yD = mesh.nNy
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if mesh.dim == 3:
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vZ = mesh.vectorNz
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zD = mesh.nNz
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# Use rectilinear VTK grid.
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# Assign the spatial information.
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vtkObj = rectGrid()
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vtkObj.SetDimensions(xD,yD,zD)
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vtkObj.SetXCoordinates(numpy_to_vtk(vX,deep=1))
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vtkObj.SetYCoordinates(numpy_to_vtk(vY,deep=1))
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vtkObj.SetZCoordinates(numpy_to_vtk(vZ,deep=1))
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# Assign the model('s) to the object
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if models is not None:
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for item in models.iteritems():
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# Convert numpy array
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vtkDoubleArr = numpy_to_vtk(item[1],deep=1)
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vtkDoubleArr.SetName(item[0])
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vtkObj.GetCellData().AddArray(vtkDoubleArr)
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# Set the active scalar
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vtkObj.GetCellData().SetActiveScalars(models.keys()[0])
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return vtkObj
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def readModelUBC(mesh, fileName):
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"""
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