Dear paraview staffs

I am recently doing visualization of the anisotropy of the local conductivity on an FEM output (in exodus), in which the conductivity is separately saved as three vector fields k_x, k_y and k_z. As suggested by the wiki, I am using the following lines in the program filter

```
from paraview.vtk.numpy_interface import dataset_adapter as dsa
import numpy
def make_tensor(xx,yy,zz, xy, yz, xz):
t = numpy.vstack([xx,yy,zz,xy, yz, xz]).transpose().view(dsa.VTKArray)
t.DataSet = xx.DataSet
t.Association = xx.Association
return t
xx = inputs[0].PointData["k_x"][:,0]
yy = inputs[0].PointData["k_y"][:,1]
zz = inputs[0].PointData["k_z"][:,2]
xy = inputs[0].PointData["k_x"][:,1]
yz = inputs[0].PointData["k_y"][:,2]
xz = inputs[0].PointData["k_z"][:,0]
output.PointData.append(make_tensor(xx,yy,zz,xy,yz,xz), "tensor")
```

yet paraview keeps returning the error “TypeError: Could not find a suitable VTK type for object”.

Btw, I also tried to separate the components of the conductivity as scalar fields k_11, k_22, k_33, k_12, k_23, k_13, and use the original code provided by the wiki, still obtained the same error msg.

Could someone please explain how to fix the error? Thank you in advance

Best

Yang