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# Unstructured grid example

A MayaVi example of how to generate an unstructured grid dataset using numpy arrays. Also shown is a way to visualize this data with mayavi2. The script can be run like so:

> $ mayavi2 -x unstructured_grid.py

Alternatively, it can be run as:

> $ python unstructured_grid.py

Author: Prabhu Ramachandran <prabhu at aero dot iitb dot ac dot in>

Copyright (c) 2007, Enthought, Inc. License: BSD style.

Source code: unstructured_grid.py

    from numpy import array, arange, random
    from enthought.tvtk.api import tvtk
    from enthought.mayavi.scripts import mayavi2

    def single_type_ug():
        """Simple example showing how to create an unstructured grid
        consisting of cells of a single type.
        """
        points = array([[0,0,0], [1,0,0], [0,1,0], [0,0,1], # tets
                        [1,0,0], [2,0,0], [1,1,0], [1,0,1],
                        [2,0,0], [3,0,0], [2,1,0], [2,0,1],
                        ], 'f')
        tets = array([[0, 1, 2, 3], [4, 5, 6, 7], [8, 9, 10, 11]])
        tet_type = tvtk.Tetra().cell_type
        ug = tvtk.UnstructuredGrid(points=points)
        ug.set_cells(tet_type, tets)
        return ug

    def mixed_type_ug():
        """A slightly more complex example of how to generate an
        unstructured grid with different cell types.  Returns a created
        unstructured grid.
        """
        points = array([[0,0,0], [1,0,0], [0,1,0], [0,0,1], # tetra
                        [2,0,0], [3,0,0], [3,1,0], [2,1,0],
                        [2,0,1], [3,0,1], [3,1,1], [2,1,1], # Hex
                        ], 'f')
        # shift the points so we can show both.
        points[:,1] += 2.0
        # The cells
        cells = array([4, 0, 1, 2, 3, # tetra
                       8, 4, 5, 6, 7, 8, 9, 10, 11 # hex
                       ])
        # The offsets for the cells, i.e. the indices where the cells
        # start.
        offset = array([0, 5])
        tetra_type = tvtk.Tetra().cell_type # VTK_TETRA == 10
        hex_type = tvtk.Hexahedron().cell_type # VTK_HEXAHEDRON == 12
        cell_types = array([tetra_type, hex_type])
        # Create the array of cells unambiguously.
        cell_array = tvtk.CellArray()
        cell_array.set_cells(2, cells)
        # Now create the UG.
        ug = tvtk.UnstructuredGrid(points=points)
        # Now just set the cell types and reuse the ug locations and cells.
        ug.set_cells(cell_types, offset, cell_array)
        return ug

    def save_xml(ug, file_name):
        """Shows how you can save the unstructured grid dataset to a VTK
        XML file."""
        w = tvtk.XMLUnstructuredGridWriter(input=ug, file_name=file_name)
        w.write()

    # ----------------------------------------------------------------------
    # Create the unstructured grids and assign scalars and vectors.
    ug1 = single_type_ug()
    ug2 = mixed_type_ug()
    temperature = arange(0, 120, 10, 'd')
    velocity = random.randn(12, 3)
    for ug in ug1, ug2:
        ug.point_data.scalars = temperature
        ug.point_data.scalars.name = 'temperature'
        # Some vectors.
        ug.point_data.vectors = velocity
        ug.point_data.vectors.name = 'velocity'

    # Uncomment this to save the file to a VTK XML file.
    #save_xml(ug2, 'file.vtu')

    # Now view the data.
    @mayavi2.standalone
    def view():
        from enthought.mayavi.sources.vtk_data_source import VTKDataSource
        from enthought.mayavi.modules.outline import Outline
        from enthought.mayavi.modules.surface import Surface
        from enthought.mayavi.modules.vectors import Vectors

        mayavi.new_scene()
        # The single type one
        src = VTKDataSource(data = ug1)
        mayavi.add_source(src)
        mayavi.add_module(Outline())
        mayavi.add_module(Surface())
        mayavi.add_module(Vectors())

        # Mixed types.
        src = VTKDataSource(data = ug2)
        mayavi.add_source(src)
        mayavi.add_module(Outline())
        mayavi.add_module(Surface())
        mayavi.add_module(Vectors())

    if __name__ == '__main__':
        view()

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