Custom Reader for vtkImageData - cells load but aren't shown

Hi everyone,
I am currently trying to load a custom data format through a python plugin.

An external python module returns a 2D numpy array, which I want to process further in Paraview.

I initialized the plugin with
VTKPythonAlgorithmBase.__init__(self, nInputPorts=0, nOutputPorts=1, outputType='vtkImageData')

For RequestData I modified the routine from the python plugin example in the paraview github repo as follows:

def RequestData(self, request, inInfoVec, outInfoVec):
        from vtkmodules.vtkCommonDataModel import vtkImageData
        from vtkmodules.vtkCommonCore import VTK_DOUBLE

        #Get data for requested timestep
        data_time = self._get_update_time(outInfoVec.GetInformationObject(0))
        raw_data = self._get_raw_data(data_time)

        #Create output adapter
        output = vtkImageData.GetData(outInfoVec, 0)
        #Convert numpy array to image
        frame_data = paraview.python_view.numpy_to_image(raw_data)

        #Set extent of data

        #Give it a name
        frame_data.GetPointData().GetScalars().SetName("sonar data")

        #Copy to output

        #Set scalars to "active" (no idea what that does, found another code example that did that)
        output.GetPointData().SetActiveScalars("sonar data")

        #Again, copied from another code example

        #Copied from the code example from the paraview github repo
        if data_time is not None:
            output.GetInformation().Set(output.DATA_TIME_STEP(), data_time)

        #Return success
        return 1

When I load a file using this code, Paraview seems to load the correct number of points and even the correct values (at least I think it does, because the scale is scaled correctly), but doesn’t show anything. I tried pressing the Reset Camera and Zoom To Data buttons, but to no avail.

Any idea why that would happen?

Thanks in advance!

Could you save and share this data as a .vtp or .vtu ?

Paraview offers me Data.pvti (533 Bytes) , .pvd and Data.vti (870 Bytes), would that help?

perfect, thanks.

Looks like the data is actually empty.

You may need to declare the extent in RequestInformation.

See here for more info

Thank you for the quick response!

I added

from paraview import util
pdi = self.GetInput()
util.SetOutputWholeExtent(self,(0,499,0,120, 0,1))

to the RequestInformation function, but the only thing that did, is that the time shown in Paraview now only goes from zero to one (instead of the previous bounds).

Do I need to add it another way?

Make sure to call all there in the right order in your request data :


I don’t think I quite understand.
If I use paraview.python_view.numpy_to_image on a 2D-array, do I still need to set dimensions, origin and spacing and allocate the scalars?
Or do I need to do that when copying the vtkImageData I get from numpy_to_image to the output?
In other words, is ido in your example frame_data or output from the RequestData function I pasted above?

I tried writing a source plugin that would return a random image as a minimum case.

from paraview.util.vtkAlgorithm import *
import numpy as np
from paraview import python_view
from vtk.numpy_interface import algorithms as algs
from vtk.numpy_interface import dataset_adapter as dsa 
from vtkmodules.vtkCommonDataModel import vtkImageData
from vtkmodules.vtkCommonDataModel import vtkDataSet
import vtk

@smproxy.source(name="Random image source",
       label="Python-based test source for random images")
class PythonTestPointSource(VTKPythonAlgorithmBase):
    def __init__(self):

    def RequestData(self, request, inInfo, outInfo):
        #output = vtkPolyData.GetData(outInfo, 0)
        output = dsa.WrapDataObject(vtkDataSet.GetData(outInfo))

        dims = (320,240)

        random_array = np.random.rand(dims[0],dims[1])

        image = python_view.numpy_to_image(random_array)

        #from the discourse post
        image.AllocateScalars(vtk.VTK_FLOAT, 1)


        return 1

This gives me the correct number of points and the correct dimensions in Paraview, but neither on the “Slice”, nor on the “Points” nor on the “Outline” views, anything is rendered.

If I remove the block with your previous suggestions, the only thing that changes is, that my x and y extent swap places.

If I read correctly, numpy_to_image already sets the bounds and allocates the scalars.

What am I doing wrong?

Figured it out!

vtkImageData needs the extent information in the RequestInformation-step already:

    def RequestInformation(self, request, inInfoVec, outInfoVec):
        return 1

with from paraview import util.

Now it works!

Yes indeed, this is what I tried to convey in my first post. Glad that you figured it out.

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