SciPy_SymPy/tutorial_exercises/TVTK.ipynb

{
 "metadata": {
  "name": "TVTK"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from tvtk.api import tvtk\n",
      "\n",
      "def vtk_show(renderer, w=100, h=100):\n",
      "    \"\"\"\n",
      "    Takes vtkRenderer instance and returns an IPython Image with the rendering.\n",
      "    \"\"\"\n",
      "    renderWindow = tvtk.RenderWindow(off_screen_rendering=1, size=(w, h))\n",
      "    renderWindow.add_renderer(renderer)\n",
      "    renderWindow.render()\n",
      "     \n",
      "    windowToImageFilter = tvtk.WindowToImageFilter(input=renderWindow)\n",
      "    windowToImageFilter.update()\n",
      "     \n",
      "    writer = tvtk.PNGWriter(write_to_memory=1, input_connection=windowToImageFilter.output_port)\n",
      "    writer.write()\n",
      "    data = writer.result.to_array().tostring()\n",
      "    \n",
      "    from IPython.display import Image\n",
      "    return Image(data)\n",
      "\n",
      "def get_plane(r, n1, n2, n3):\n",
      "    plane = tvtk.Plane(origin=r.output.center, normal=(n1, n2, n3))\n",
      "    c = tvtk.Cutter(input_connection=r.output_port, cut_function=plane)\n",
      "    m = tvtk.PolyDataMapper(input_connection=c.output_port, scalar_range=r.output.scalar_range)\n",
      "    a = tvtk.Actor(mapper=m)\n",
      "    return a\n",
      "\n",
      "def get_outline(r):\n",
      "    s = tvtk.OutlineSource(bounds=r.output.bounds)\n",
      "    m = tvtk.DataSetMapper(input_connection=s.output_port)\n",
      "    a = tvtk.Actor(mapper=m)\n",
      "    a.property.color = (0, 0, 0)\n",
      "    return a\n",
      "\n",
      "def get_renderer(l):\n",
      "    renderer = tvtk.Renderer(background=(1, 1, 1))\n",
      "    for a in l:\n",
      "        renderer.add_actor(a)\n",
      "    return renderer"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "r = tvtk.RectilinearGridReader()\n",
      "r.file_name = \"data/Venq.vtk\"\n",
      "r.update()\n",
      "\n",
      "renderer = get_renderer([\n",
      "    get_plane(r, 1, 0, 0),\n",
      "    get_plane(r, 0, 1, 0),\n",
      "    get_plane(r, 0, 0, 1),\n",
      "    get_outline(r),\n",
      "    #get_contour(r),\n",
      "    ])\n",
      "    \n",
      "camera = renderer.active_camera\n",
      "renderer.reset_camera()\n",
      "camera.elevation(30)\n",
      "camera.azimuth(30)\n",
      "\n",
      "vtk_show(renderer, 500, 500)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "ename": "TraitError",
       "evalue": "The 'alpha_bit_planes' trait of a RenderWindow instance must be 'f' or 'false' or 'n' or 'no' or 'off' or 'on' or 't' or 'true' or 'y' or 'yes' or 0 or 1, but a value of 8 <type 'int'> was specified.",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mTraitError\u001b[0m                                Traceback (most recent call last)",
        "\u001b[1;32m/home/ondrej/repos/python-hpcmp2/opt/profile/jxbs/lib/python2.7/site-packages/tvtk/messenger.pyc\u001b[0m in \u001b[0;36msend\u001b[1;34m(obj, event, *args, **kw_args)\u001b[0m\n\u001b[0;32m    306\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    307\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0msend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mevent\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkw_args\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 308\u001b[1;33m     \u001b[0m_messenger\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mevent\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkw_args\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    309\u001b[0m \u001b[0msend\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__doc__\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_messenger\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msend\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__doc__\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    310\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
        "\u001b[1;32m/home/ondrej/repos/python-hpcmp2/opt/profile/jxbs/lib/python2.7/site-packages/tvtk/messenger.pyc\u001b[0m in \u001b[0;36msend\u001b[1;34m(self, source, event, *args, **kw_args)\u001b[0m\n\u001b[0;32m    247\u001b[0m                         \u001b[0minst\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mobj\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    248\u001b[0m                         \u001b[1;32mif\u001b[0m \u001b[0minst\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 249\u001b[1;33m                             \u001b[0mgetattr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minst\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmeth\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msource\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mevent\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkw_args\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    250\u001b[0m                         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    251\u001b[0m                             \u001b[1;31m# Oops, dead reference.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
        "\u001b[1;32m/home/ondrej/repos/python-hpcmp2/opt/profile/jxbs/lib/python2.7/site-packages/tvtk/tvtk_base.pyc\u001b[0m in \u001b[0;36mupdate_traits\u001b[1;34m(self, obj, event)\u001b[0m\n\u001b[0;32m    454\u001b[0m                     \u001b[0msetattr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mwarn\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    455\u001b[0m                 \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 456\u001b[1;33m                     \u001b[0msetattr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    457\u001b[0m         \u001b[1;31m# Reset the warning state.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    458\u001b[0m         \u001b[0mvtk\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvtkObject\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mSetGlobalWarningDisplay\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mwarn\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
        "\u001b[1;32m/home/ondrej/repos/python-hpcmp2/opt/profile/jxbs/lib/python2.7/site-packages/traits/trait_handlers.pyc\u001b[0m in \u001b[0;36merror\u001b[1;34m(self, object, name, value)\u001b[0m\n\u001b[0;32m    167\u001b[0m         \"\"\"\n\u001b[0;32m    168\u001b[0m         raise TraitError( object, name, self.full_info( object, name, value ),\n\u001b[1;32m--> 169\u001b[1;33m                           value )\n\u001b[0m\u001b[0;32m    170\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    171\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0marg_error\u001b[0m \u001b[1;33m(\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmethod\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0marg_num\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mobject\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalue\u001b[0m \u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
        "\u001b[1;31mTraitError\u001b[0m: The 'alpha_bit_planes' trait of a RenderWindow instance must be 'f' or 'false' or 'n' or 'no' or 'off' or 'on' or 't' or 'true' or 'y' or 'yes' or 0 or 1, but a value of 8 <type 'int'> was specified."
       ]
      },
      {
       "output_type": "pyout",
       "png": 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bT/dbqiVQ7itHFzf6t+y2D/nzdTMvqicKMkGta4kfQrH9WJe7tLweKuN2Q55Z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\nBuVOGnkHlAF22ZbXw4So8s4MdRK16qG0aql4OYe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       "prompt_number": 2,
       "text": [
        "<IPython.core.display.Image at 0x375fed0>"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The exception is most probably a bug in tvtk and I reported it here: https://github.com/enthought/mayavi/issues/77"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}