[vtk-developers] numpy_to_vtk - contiguous array error

[Randy Heiland]

Can someone shed light on the following error?

>>> teMtx
array([[  0.00000000e+00,   2.21433476e-07,   1.29724158e-06, ...,
          1.13706443e-06,   1.22732023e-06,   1.80498142e-06],
       [  3.49344691e-07,  -1.63000845e-07,   4.27805878e-06, ...,
          5.69157035e-07,   1.44623813e-07,   1.07077057e-07],
       [  1.12878051e-08,   7.65250526e-06,  -3.56727587e-09, ...,
          4.44896483e-08,   5.03697289e-07,   2.19654679e-07],
       ..., 
       [  9.13691496e-08,   8.34874369e-08,   6.68844738e-07, ...,
          0.00000000e+00,   4.14336786e-06,   1.54018126e-07],
       [  1.56768727e-06,   1.26927141e-07,   1.86173239e-06, ...,
          1.76178961e-06,  -2.94978281e-06,   2.25371326e-06],
       [  2.13822621e-06,   2.01947558e-08,   6.85551555e-07, ...,
          3.93482720e-07,   8.21207577e-07,   0.00000000e+00]])
>>> type(teMtx)
<type 'numpy.ndarray'>
>>> teMtx.size
106929
>>> teMtx.shape
(327, 327)
>>> vtk_arr2 = numpy_to_vtk(teMtx)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "<my-path>/Wrapping/Python/vtk/util/numpy_support.py", line 132, in numpy_to_vtk
    assert z.flags.contiguous, 'Only contiguous arrays are supported.'
AssertionError: Only contiguous arrays are supported.

However, the following works fine:
>>> m2 = numpy.array([[1.0,2.0],[3.0,4.0]])
>>> type(m2)
<type 'numpy.ndarray'>
>>> m2.size
4
>>> m2.shape
(2, 2)
>>> vtk_arr_m2 = numpy_to_vtk(m2)
>>>

>>> vtk.vtkVersion.GetVTKVersion()
'5.7.0'


teMtx happens to come from a 'scipy.io.loadmat', however, via inspection, it appears to be the same as the simpler m2 array.

thanks, Randy

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