def make_data(dims=(128, 128, 128)):
    np = dims[0]*dims[1]*dims[2]

    # Create some scalars to render.
    x, y, z = numpy.ogrid[-5:5:dims[0]*1j,-5:5:dims[1]*1j,-5:5:dims[2]*1j]
    x = x.astype('f')
    y = y.astype('f')
    z = z.astype('f')

    scalars = (numpy.sin(x*y*z)/(x*y*z))
    # The copy makes the data contiguous and the transpose makes it
    # suitable for display via tvtk.  Please note that we assume here
    # that the ArraySource is configured to not transpose the data.
    s = numpy.transpose(scalars).copy()
    # Reshaping the array is needed since the transpose messes up the
    # dimensions of the data.  The scalars themselves are ravel'd and
    # used internally by VTK so the dimension does not matter for the
    # scalars.
    s.shape = s.shape[::-1]

    return s
Creates some simple array data of the given dimensions to test
dataset/ETHPy150Open enthought/mayavi/docs/source/mayavi/auto/numeric_source.py/make_data