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# Structured points2d example

An example of how to generate a 2D structured points dataset using numpy arrays. Also shown is a way to visualize this data with the mayavi2 application.

The script can be run like so:

    $ mayavi2 -x structured_points2d.py

Alternatively, it can be run as:

    $ python structured_points2d.py

Source code: structured_points2d.py

    # Author: Prabhu Ramachandran <prabhu at aero dot iitb dot ac dot in>
    # Copyright (c) 2007, Enthought, Inc.
    # License: BSD style.

    from numpy import arange, sqrt, sin
    from enthought.tvtk.api import tvtk
    from enthought.mayavi.scripts import mayavi2

    # Generate the scalar values.
    x = (arange(0.1, 50.0)-25)/2.0
    y = (arange(0.1, 50.0)-25)/2.0
    r = sqrt(x[:,None]**2+y**2)
    z = 5.0*sin(r)/r  #

    # Make the tvtk dataset.
    # tvtk.ImageData is identical and could also be used here.
    spoints = tvtk.StructuredPoints(origin=(-12.5,-12.5,0),
                                    spacing=(0.5,0.5,1),
                                    dimensions=(50,50,1))
    # Transpose the array data due to VTK's implicit ordering. VTK assumes
    # an implicit ordering of the points: X co-ordinate increases first, Y
    # next and Z last.  We flatten it so the number of components is 1.
    spoints.point_data.scalars = z.T.flatten()
    spoints.point_data.scalars.name = 'scalar'

    # Uncomment the next two lines to save the dataset to a VTK XML file.
    #w = tvtk.XMLImageDataWriter(input=spoints, file_name='spoints2d.vti')
    #w.write()

    # Now view the data.
    @mayavi2.standalone
    def view():
        from enthought.mayavi.sources.vtk_data_source import VTKDataSource
        from enthought.mayavi.filters.warp_scalar import WarpScalar
        from enthought.mayavi.filters.poly_data_normals import PolyDataNormals
        from enthought.mayavi.modules.surface import Surface

        mayavi.new_scene()
        src = VTKDataSource(data = spoints)
        mayavi.add_source(src)
        mayavi.add_filter(WarpScalar())
        mayavi.add_filter(PolyDataNormals())
        s = Surface()
        mayavi.add_module(s)

    if __name__ == '__main__':
        view()

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