fluidity/python/vtktools.py at main · FluidityProject/fluidity · GitHub

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#!/usr/bin/env python3

import math

import numpy

import vtk

class vtu:

"""Unstructured grid object to deal with VTK unstructured grids."""

def __init__(self, filename=None):

"""Creates a vtu object by reading the specified file."""

if filename is None:

self.ugrid = vtk.vtkUnstructuredGrid()

else:

self.gridreader = None

if filename[-4:] == ".vtu":

self.gridreader = vtk.vtkXMLUnstructuredGridReader()

elif filename[-5:] == ".pvtu":

self.gridreader = vtk.vtkXMLPUnstructuredGridReader()

else:

raise Exception("ERROR: don't recognise file extension" + filename)

self.gridreader.SetFileName(filename)

self.gridreader.Update()

self.ugrid = self.gridreader.GetOutput()

if self.ugrid.GetNumberOfPoints() + self.ugrid.GetNumberOfCells() == 0:

raise Exception(

"ERROR: No points or cells found after loading vtu " + filename

)

self.filename = filename

def GetScalarField(self, name):

"""Returns an array with the values of the specified scalar field."""

try:

pointdata = self.ugrid.GetPointData()

vtkdata = pointdata.GetScalars(name)

vtkdata.GetNumberOfTuples()

except AttributeError:

try:

celldata = self.ugrid.GetCellData()

vtkdata = celldata.GetScalars(name)

vtkdata.GetNumberOfTuples()

except AttributeError:

raise Exception(

"ERROR: couldn't find point or cell scalar field data with name "

+ name

+ " in file "

+ self.filename

+ "."

)

return numpy.array(

[vtkdata.GetTuple1(i) for i in range(vtkdata.GetNumberOfTuples())]

)

def GetScalarRange(self, name):

"""Returns the range (min, max) of the specified scalar field."""

try:

pointdata = self.ugrid.GetPointData()

vtkdata = pointdata.GetScalars(name)

vtkdata.GetRange()

except AttributeError:

try:

celldata = self.ugrid.GetCellData()

vtkdata = celldata.GetScalars(name)

vtkdata.GetRange()

except AttributeError:

raise Exception(

"ERROR: couldn't find point or cell scalar field data with name "

+ name

+ " in file "

+ self.filename

+ "."

)

return vtkdata.GetRange()

def GetVectorField(self, name):

"""Returns an array with the values of the specified vector field."""

try:

pointdata = self.ugrid.GetPointData()

vtkdata = pointdata.GetScalars(name)

vtkdata.GetNumberOfTuples()

except AttributeError:

try:

celldata = self.ugrid.GetCellData()

vtkdata = celldata.GetScalars(name)

vtkdata.GetNumberOfTuples()

except AttributeError:

raise Exception(

"ERROR: couldn't find point or cell vector field data with name "

+ name

+ " in file "

+ self.filename

+ "."

)

return numpy.array(

[vtkdata.GetTuple3(i) for i in range(vtkdata.GetNumberOfTuples())]

)

def GetVectorNorm(self, name):

"""Return the field with the norm of the specified vector field."""

v = self.GetVectorField(name)

n = []

try:

from scipy.linalg import norm

except ImportError:

def norm(v):

r = 0.0

for x in v:

r = r + x**2

r = math.sqrt(r)

return r

for node in range(self.ugrid.GetNumberOfPoints()):

n.append(norm(v[node]))

return numpy.array(n)

def GetField(self, name):

"""Returns an array with the values of the specified field."""

try:

pointdata = self.ugrid.GetPointData()

vtkdata = pointdata.GetArray(name)

vtkdata.GetNumberOfTuples()

except AttributeError:

try:

celldata = self.ugrid.GetCellData()

vtkdata = celldata.GetArray(name)

vtkdata.GetNumberOfTuples()

except AttributeError:

raise Exception(

"ERROR: couldn't find point or cell field data with name "

+ name

+ " in file "

+ self.filename

+ "."

)

nc = vtkdata.GetNumberOfComponents()

nt = vtkdata.GetNumberOfTuples()

array = numpy.array([vtkdata.GetValue(i) for i in range(nc * nt)])

if nc == 9:

return array.reshape(nt, 3, 3)

elif nc == 4:

return array.reshape(nt, 2, 2)

else:

return array.reshape(nt, nc)

def GetFieldRank(self, name):

"""

Returns the rank of the supplied field.

"""

try:

pointdata = self.ugrid.GetPointData()

vtkdata = pointdata.GetArray(name)

vtkdata.GetNumberOfTuples()

except AttributeError:

try:

celldata = self.ugrid.GetCellData()

vtkdata = celldata.GetArray(name)

vtkdata.GetNumberOfTuples()

except AttributeError:

raise Exception(

"ERROR: couldn't find point or cell field data with name "

+ name

+ " in file "

+ self.filename

+ "."

)

comps = vtkdata.GetNumberOfComponents()

if comps == 1:

return 0

elif comps in [2, 3]:

return 1

elif comps in [4, 9]:

return 2

else:

raise Exception("Field rank > 2 encountered")

def Write(self, filename=[]):

"""Writes the grid to a vtu file.

If no filename is specified it will use the name of the file originally

read in, thus overwriting it!

"""

if filename == []:

filename = self.filename

if filename is None:

raise Exception("No file supplied")

if filename.endswith("pvtu"):

gridwriter = vtk.vtkXMLPUnstructuredGridWriter()

else:

gridwriter = vtk.vtkXMLUnstructuredGridWriter()

gridwriter.SetFileName(filename)

if vtk.vtkVersion.GetVTKMajorVersion() <= 5:

gridwriter.SetInput(self.ugrid)

else:

gridwriter.SetInputData(self.ugrid)

gridwriter.Write()

def AddScalarField(self, name, array):

"""Adds a scalar field with the specified name using the values from the

array."""

data = vtk.vtkDoubleArray()

data.SetNumberOfValues(len(array))

data.SetName(name)

for i in range(len(array)):

data.SetValue(i, array[i])

if len(array) == self.ugrid.GetNumberOfPoints():

pointdata = self.ugrid.GetPointData()

pointdata.AddArray(data)

pointdata.SetActiveScalars(name)

elif len(array) == self.ugrid.GetNumberOfCells():

celldata = self.ugrid.GetCellData()

celldata.AddArray(data)

celldata.SetActiveScalars(name)

else:

raise Exception("Length neither number of nodes nor number of cells")

def AddVectorField(self, name, array):

"""Adds a vector field with the specified name using the values from the

array."""

n = array.size

data = vtk.vtkDoubleArray()

data.SetNumberOfComponents(array.shape[1])

data.SetNumberOfValues(n)

data.SetName(name)

for i in range(n):

data.SetValue(i, array.reshape(n)[i])

if array.shape[0] == self.ugrid.GetNumberOfPoints():

pointdata = self.ugrid.GetPointData()

pointdata.AddArray(data)

pointdata.SetActiveVectors(name)

elif array.shape[0] == self.ugrid.GetNumberOfCells():

celldata = self.ugrid.GetCellData()

celldata.AddArray(data)

else:

raise Exception("Length neither number of nodes nor number of cells")

def AddField(self, name, array):

"""Adds a field with arbitrary number of components under the specified name

using."""

n = array.size

sh = numpy.array(array.shape)

data = vtk.vtkDoubleArray()

# number of tuples is sh[0]

# number of components is the product of the rest of sh

data.SetNumberOfComponents(sh[1:].prod())

data.SetNumberOfValues(n)

data.SetName(name)

flatarray = array.reshape(n)

for i in range(n):

data.SetValue(i, flatarray[i])

if sh[0] == self.ugrid.GetNumberOfPoints():

pointdata = self.ugrid.GetPointData()

pointdata.AddArray(data)

elif sh[0] == self.ugrid.GetNumberOfCells():

celldata = self.ugrid.GetCellData()

celldata.AddArray(data)

else:

raise Exception("Length neither number of nodes nor number of cells")

def ApplyProjection(self, projection_x, projection_y, projection_z):

"""Applys a projection to the grid coordinates. This overwrites the existing

values."""

npoints = self.ugrid.GetNumberOfPoints()

for i in range(npoints):

(x, y, z) = self.ugrid.GetPoint(i)

new_x = eval(projection_x)

new_y = eval(projection_y)

new_z = eval(projection_z)

self.ugrid.GetPoints().SetPoint(i, new_x, new_y, new_z)

def ApplyCoordinateTransformation(self, f):

"""Applys a coordinate transformation to the grid coordinates. This overwrites

the existing values."""

npoints = self.ugrid.GetNumberOfPoints()

for i in range(npoints):

(x, y, z) = self.ugrid.GetPoint(i)

newX = f(numpy.array([x, y, z]), t=0)

self.ugrid.GetPoints().SetPoint(i, newX[0], newX[1], newX[2])

def ApplyEarthProjection(self):

"""Assume the input geometry is the Earth in Cartesian geometry and project to

longitude, latitude, depth."""

npoints = self.ugrid.GetNumberOfPoints()

earth_radius = 6378000.0

for i in range(npoints):

(x, y, z) = self.ugrid.GetPoint(i)

r = math.sqrt(x * x + y * y + z * z)

depth = r - earth_radius

longitude = numpy.rad2deg(math.atan2(y, x))

latitude = 90.0 - numpy.rad2deg(math.acos(z / r))

self.ugrid.GetPoints().SetPoint(i, longitude, latitude, depth)

def ProbeData(self, coordinates, name):

"""Interpolate field values at these coordinates."""

probe = VTU_Probe(self.ugrid, coordinates)

return probe.GetField(name)

def RemoveField(self, name):

"""Removes said field from the unstructured grid."""

pointdata = self.ugrid.GetPointData()

pointdata.RemoveArray(name)

def GetLocations(self):

"""Returns an array with the locations of the nodes."""

vtkPoints = self.ugrid.GetPoints()

if vtkPoints is None:

vtkData = vtk.vtkDoubleArray()

else:

vtkData = vtkPoints.GetData()

return numpy.array(

[vtkData.GetTuple3(i) for i in range(vtkData.GetNumberOfTuples())]

)

def GetCellPoints(self, id):

"""Returns an array with the node numbers of each cell (ndglno)."""

idlist = vtk.vtkIdList()

self.ugrid.GetCellPoints(id, idlist)

return numpy.array([idlist.GetId(i) for i in range(idlist.GetNumberOfIds())])

def GetFieldNames(self):

"""Returns the names of the available fields."""

vtkdata = self.ugrid.GetPointData()

return [vtkdata.GetArrayName(i) for i in range(vtkdata.GetNumberOfArrays())]

def GetPointCells(self, id):

"""Return an array with the elements which contain a node."""

idlist = vtk.vtkIdList()

self.ugrid.GetPointCells(id, idlist)

return numpy.array([idlist.GetId(i) for i in range(idlist.GetNumberOfIds())])

def GetPointPoints(self, id):

"""Return the nodes connecting to a given node."""

cells = self.GetPointCells(id)

lst = []

for cell in cells:

lst = lst + list(self.GetCellPoints(cell))

s = set(lst) # remove duplicates

return numpy.array(list(s)) # make into a list again

def GetDistance(self, x, y):

"""Return the distance in physical space between x and y."""

posx = self.ugrid.GetPoint(x)

posy = self.ugrid.GetPoint(y)

return math.sqrt(sum((posx[i] - posy[i]) ** 2 for i in range(len(posx))))

def Crop(self, min_x, max_x, min_y, max_y, min_z, max_z):

"""Trim off the edges defined by a bounding box."""

trimmer = vtk.vtkExtractUnstructuredGrid()

if vtk.vtkVersion.GetVTKMajorVersion() <= 5:

trimmer.SetInput(self.ugrid)

else:

trimmer.SetInputData(self.ugrid)

trimmer.SetExtent(min_x, max_x, min_y, max_y, min_z, max_z)

trimmer.Update()

trimmed_ug = trimmer.GetOutput()

self.ugrid = trimmed_ug

def IntegrateField(self, field):

"""

Integrate the supplied scalar field, assuming a linear representation on a

tetrahedral mesh. Needs numpy-izing for speed.

"""

assert field[0].shape in [(), (1,)]

integral = 0.0

n_cells = self.ugrid.GetNumberOfCells()

ghosts = self.ugrid.GetCellData().GetArray("vtkGhostType")

for cell_no in range(n_cells):

integrate_cell = True

if ghosts:

integrate_cell = ghosts.GetTuple1(cell_no) == 0

if integrate_cell:

Cell = self.ugrid.GetCell(cell_no)

Cell_points = Cell.GetPoints()

nCell_points = Cell.GetNumberOfPoints()

if nCell_points == 4:

Volume = abs(

Cell.ComputeVolume(

Cell_points.GetPoint(0),

Cell_points.GetPoint(1),

Cell_points.GetPoint(2),

Cell_points.GetPoint(3),

)

elif nCell_points == 3:

Volume = abs(

Cell.TriangleArea(

Cell_points.GetPoint(0),

Cell_points.GetPoint(1),

Cell_points.GetPoint(2),

)

else:

raise Exception("Unexpected number of points: " + str(nCell_points))

Cell_ids = Cell.GetPointIds()

for point in range(Cell_ids.GetNumberOfIds()):

PointId = Cell_ids.GetId(point)

integral = integral + (

Volume * field[PointId] / float(nCell_points)

)

return integral

def GetCellVolume(self, id):

cell = self.ugrid.GetCell(id)

pts = cell.GetPoints()

if isinstance(cell, vtk.vtkTriangle):

return cell.TriangleArea(pts.GetPoint(0), pts.GetPoint(1), pts.GetPoint(2))

elif cell.GetNumberOfPoints() == 4:

return abs(

cell.ComputeVolume(

pts.GetPoint(0), pts.GetPoint(1), pts.GetPoint(2), pts.GetPoint(3)

)

elif cell.GetNumberOfPoints() == 3:

return abs(

cell.ComputeVolume(pts.GetPoint(0), pts.GetPoint(1), pts.GetPoint(2))

)

else:

raise Exception("Unexpected number of points")

def GetFieldIntegral(self, name):

"""

Integrate the named field.

"""

return self.IntegrateField(self.GetField(name))

def GetFieldRms(self, name):

"""

Return the rms of the supplied scalar or vector field.

"""

field = self.GetField(name)

rank = self.GetFieldRank(name)

if rank == 0:

normField = numpy.array([field[i] ** 2.0 for i in range(len(field))])

elif rank == 1:

normField = self.GetVectorNorm(name)

else:

raise Exception("Cannot calculate norm field for field rank > 1")

volField = numpy.array([1.0 for i in range(len(field))])

rms = self.IntegrateField(normField)

rms /= self.IntegrateField(volField)

rms = numpy.sqrt(rms)

return float(rms)

def StructuredPointProbe(self, nx, ny, nz, bounding_box=None):

"""Probe the unstructured grid dataset using a structured points dataset."""

probe = vtk.vtkProbeFilter()

if vtk.vtkVersion.GetVTKMajorVersion() <= 5:

probe.SetSource(self.ugrid)

else:

probe.SetSourceData(self.ugrid)

sgrid = vtk.vtkStructuredPoints()

bbox = [0.0, 0.0, 0.0, 0.0, 0.0, 0.0]

if bounding_box is None:

bbox = self.ugrid.GetBounds()

else:

bbox = bounding_box

sgrid.SetOrigin([bbox[0], bbox[2], bbox[4]])

sgrid.SetDimensions(nx, ny, nz)

spacing = [0.0, 0.0, 0.0]

if nx > 1:

spacing[0] = (bbox[1] - bbox[0]) / (nx - 1.0)

if ny > 1:

spacing[1] = (bbox[3] - bbox[2]) / (ny - 1.0)

if nz > 1:

spacing[2] = (bbox[5] - bbox[4]) / (nz - 1.0)

sgrid.SetSpacing(spacing)

if vtk.vtkVersion.GetVTKMajorVersion() <= 5:

probe.SetInput(sgrid)

else:

probe.SetInputData(sgrid)

probe.Update()

return probe.GetOutput()

def GetDerivative(self, name):

"""

Returns the derivative of field 'name', a

vector field if 'name' is scalar, and a tensor field

if 'name' is a vector. The field 'name' has to be point-wise data.

The returned array gives a cell-wise derivative.

"""

cd = vtk.vtkCellDerivatives()

sgrid = vtk.vtkStructuredPoints()

if vtk.vtkVersion.GetVTKMajorVersion() <= 5:

cd.SetInput(sgrid)

else:

cd.SetInputData(sgrid)

pointdata = self.ugrid.GetPointData()

nc = pointdata.GetArray(name).GetNumberOfComponents()

if nc == 1:

cd.SetVectorModeToComputeGradient()

cd.SetTensorModeToPassTensors()

pointdata.SetActiveScalars(name)

cd.Update()

vtkdata = (

cd.GetUnstructuredGridOutput().GetCellData().GetArray("ScalarGradient")

)

return numpy.array(

[vtkdata.GetTuple3(i) for i in range(vtkdata.GetNumberOfTuples())]

)

else:

cd.SetTensorModeToComputeGradient()

cd.SetVectorModeToPassVectors()

pointdata.SetActiveVectors(name)

cd.Update()

vtkdata = (

cd.GetUnstructuredGridOutput().GetCellData().GetArray("VectorGradient")

)

return numpy.array(

[vtkdata.GetTuple9(i) for i in range(vtkdata.GetNumberOfTuples())]

)

def GetVorticity(self, name):

"""

Returns the vorticity of vectorfield 'name'.

The field 'name' has to be point-wise data.

The returned array gives a cell-wise derivative.

"""

cd = vtk.vtkCellDerivatives()

if vtk.vtkVersion.GetVTKMajorVersion() <= 5:

cd.SetInput(self.ugrid)

else:

cd.SetInputData(self.ugrid)

pointdata = self.ugrid.GetPointData()

cd.SetVectorModeToComputeVorticity()

cd.SetTensorModeToPassTensors()

pointdata.SetActiveVectors(name)

cd.Update()

vtkdata = (

cd.GetUnstructuredGridOutput().GetCellData().GetArray("VectorGradient")

)

return numpy.array(

[vtkdata.GetTuple3(i) for i in range(vtkdata.GetNumberOfTuples())]

)

def CellDataToPointData(self):

"""

Transforms all cell-wise fields in the vtu to point-wise fields.

All existing fields will remain.

"""

cdtpd = vtk.vtkCellDataToPointData()

if vtk.vtkVersion.GetVTKMajorVersion() <= 5:

cdtpd.SetInput(self.ugrid)

else:

cdtpd.SetInputData(self.ugrid)

cdtpd.PassCellDataOn()

cdtpd.Update()

self.ugrid = cdtpd.GetUnstructuredGridOutput()

class VTU_Probe:

"""A class that combines a vtkProbeFilter with a list of invalid points (points that

it failed to probe where we take the value of the nearest point)"""

def __init__(self, ugrid, coordinates):

# Initialise locator

locator = vtk.vtkPointLocator()

locator.SetDataSet(ugrid)

locator.SetTolerance(10.0)

locator.Update()

# Initialise probe

points = vtk.vtkPoints()

points.SetDataTypeToDouble()

ilen, jlen = coordinates.shape

for i in range(ilen):

points.InsertNextPoint(

coordinates[i][0], coordinates[i][1], coordinates[i][2]

)

polydata = vtk.vtkPolyData()

polydata.SetPoints(points)

self.probe = vtk.vtkProbeFilter()

if vtk.vtkVersion.GetVTKMajorVersion() <= 5:

self.probe.SetInput(polydata)

self.probe.SetSource(ugrid)

else:

self.probe.SetInputData(polydata)

self.probe.SetSourceData(ugrid)

self.probe.Update()

# Generate a list invalidNodes, containing a map from invalid nodes in the

# result to their closest nodes in the input

valid_ids = self.probe.GetValidPoints()

valid_loc = 0

self.invalidNodes = []

for i in range(ilen):

if valid_ids.GetTuple1(valid_loc) == i:

valid_loc += 1

else:

nearest = locator.FindClosestPoint(

[coordinates[i][0], coordinates[i][1], coordinates[i][2]]

)

self.invalidNodes.append((i, nearest))

self.ugrid = ugrid

def GetField(self, name):

# Get final updated values

pointdata = self.probe.GetOutput().GetPointData()

vtkdata = pointdata.GetArray(name)

nc = vtkdata.GetNumberOfComponents()

nt = vtkdata.GetNumberOfTuples()

array = numpy.array([vtkdata.GetValue(i) for i in range(nt * nc)])

# Fix the point data at invalid nodes

if len(self.invalidNodes) > 0:

oldField = self.ugrid.GetPointData().GetArray(name)

if oldField is None:

oldField = self.ugrid.GetCellData().GetArray(name)

if oldField is None:

raise Exception(

"ERROR: couldn't find point or cell field data with name "

+ name

+ "."

)

for invalidNode, nearest in self.invalidNodes:

for comp in range(nc):

array[invalidNode * nc + comp] = oldField.GetValue(

nearest * nc + comp

)

# this is a copy and paster from vtu.GetField above:

if nc == 9:

return array.reshape(nt, 3, 3)

elif nc == 4:

return array.reshape(nt, 2, 2)

else:

return array.reshape(nt, nc)

return array

def VtuMatchLocations(vtu1, vtu2, tolerance=1.0e-6):

"""

Check that the locations in the supplied vtus match exactly, returning True if they

match and False otherwise.

The locations must be in the same order.

"""

locations1 = vtu1.GetLocations().tolist()

locations2 = vtu2.GetLocations()

if not len(locations1) == len(locations2):

return False

for i in range(len(locations1)):

if not len(locations1[i]) == len(locations2[i]):

return False

for j in range(len(locations1[i])):

if abs(locations1[i][j] - locations2[i][j]) > tolerance:

return False

return True

def VtuMatchLocationsArbitrary(vtu1, vtu2, tolerance=1.0e-6):

"""

Check that the locations in the supplied vtus match, returning True if they

match and False otherwise.

The locations may be in a different order.

"""

locations1 = vtu1.GetLocations()

locations2 = vtu2.GetLocations()

if not locations1.shape == locations2.shape:

return False

for j in range(locations1.shape[1]):

# compute the smallest possible precision given the range of this coordinate

epsilon = numpy.finfo(numpy.float64).eps * numpy.abs(locations1[:, j]).max()

if tolerance < epsilon:

# the specified tolerance is smaller than possible machine precision

# (or something else went wrong)

raise Exception(

"ERROR: specified tolerance is smaller than machine precision of given"

" locations"

)

# ensure epsilon doesn't get too small (might be for zero for instance)

epsilon = max(epsilon, tolerance / 100.0)

# round to that many decimal places (-2 to be sure) so that

# we don't get rounding issues with lexsort

locations1[:, j] = numpy.around(

locations1[:, j], int(-numpy.log10(epsilon)) - 2

)

locations2[:, j] = numpy.around(

locations2[:, j], int(-numpy.log10(epsilon)) - 2

)

# lexical sort on x,y and z coordinates resp. of locations1 and locations2

sort_index1 = numpy.lexsort(locations1.T)

sort_index2 = numpy.lexsort(locations2.T)

# should now be in same order, so we can check for its biggest difference

return numpy.allclose(

locations1[sort_index1], locations2[sort_index2], atol=tolerance

)

def VtuDiff(vtu1, vtu2, filename=None):

"""

Generate a vtu with fields generated by taking the difference between the field

values in the two supplied vtus. Fields that are not common between the two vtus

are neglected. If probe is True, the fields of vtu2 are projected onto the cell

points of vtu1. Otherwise, the cell points of vtu1 and vtu2 must match.

"""

# Generate empty output vtu

resultVtu = vtu()

resultVtu.filename = filename

# If the input vtu point locations match, do not use probe

useProbe = not VtuMatchLocations(vtu1, vtu2)

if useProbe:

probe = VTU_Probe(vtu2.ugrid, vtu1.GetLocations())

# Copy the grid from the first input vtu into the output vtu

resultVtu.ugrid.DeepCopy(vtu1.ugrid)

# Find common field names between the input vtus and generate corresponding

# difference fields

fieldNames1 = vtu1.GetFieldNames()

fieldNames2 = vtu2.GetFieldNames()

for fieldName in fieldNames1:

field1 = vtu1.GetField(fieldName)

if fieldName in fieldNames2:

if useProbe:

field2 = probe.GetField(fieldName)

else:

field2 = vtu2.GetField(fieldName)

resultVtu.AddField(fieldName, field1 - field2)

else:

resultVtu.RemoveField(fieldName)

# Also look for cell-based fields. This only works if we don't have

# to interpolate (both meshes are the same)

vtkdata = vtu1.ugrid.GetCellData()

fieldNames1 = [vtkdata.GetArrayName(i) for i in range(vtkdata.GetNumberOfArrays())]

vtkdata = vtu2.ugrid.GetCellData()

fieldNames2 = [vtkdata.GetArrayName(i) for i in range(vtkdata.GetNumberOfArrays())]

if useProbe:

# meshes are different - we can't interpolate cell-based fields so let's just

# remove them from the output

for fieldName in fieldNames1:

if fieldName == "vtkGhostType":

# this field should just be passed on unchanged

continue

resultVtu.RemoveField(fieldName)

else:

# meshes are the same - we can simply subtract

for fieldName in fieldNames1:

if fieldName == "vtkGhostType":

# this field should just be passed on unchanged

continue

elif fieldName in fieldNames2:

field1 = vtu1.GetField(fieldName)

field2 = vtu2.GetField(fieldName)

resultVtu.AddField(fieldName, field1 - field2)

else:

resultVtu.RemoveField(fieldName)

return resultVtu

fluidity/python/vtktools.py at main · FluidityProject/fluidity · GitHub

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