So you have 3 numpy arrays each with 3 complex values?
In any case you'll use vtk double array for this, and you'll want to
explictly handle real and imaginary parts. PV can iso surface the real
and imaginary parts separately. There are a couple of ways you could do
that. 1) each array of complex values could go into a 2 component
vtkDoubleArray, first component is the real part and second component is
the imaginary part. 2) each array of complex values could go into 2 1
component double arrays, the first double array for the real part and
the second double array for the imaginary part. Since you mentioned iso
surfacing I'm guessing option 2 will be the easiest path for you.
Burlen
On 05/21/2014 07:20 AM, Su, Simon M CTR USARMY ARL (US) wrote:
Hello,
I am calculating the roots using numpy in the python programmable
filter. numpy.roots(coeff) is returning an array of type ndarray with
complex128 array elements.
<type 'numpy.ndarray'>
[-0.77184451+1.11514251j -0.77184451-1.11514251j 0.54368901+0.j ]
array size = 3
(-0.771844506346+1.11514250804j)
<type 'numpy.complex128'>
(-0.771844506346-1.11514250804j)
<type 'numpy.complex128'>
(0.543689012692+0j)
<type 'numpy.complex128'>
In my calculation I will have 3 roots so I will be creating three
variables root1, root2, root3, and add them to the output data via
output.GetPointData().AddArray(root1)
output.GetPointData().AddArray(root2)
output.GetPointData().AddArray(root3)
what would the vtk type that I need to use to create root1, root2, and
root3?
Can ParaView draw an isosurface using root1, or root2, or root3?
Any help on this is much appreciated.
thanks
-simon
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