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       "Output()"
      ]
     },
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   "source": [
    "import k3d\n",
    "import numpy as np\n",
    "\n",
    "X, Y, Z = np.mgrid[:30, :30, :30]\n",
    "# scaled distance from the \"center\" (15, 15, 15) of this scalar field\n",
    "scalar_field = ((X-15.0)/15.0)**2 + ((Y-15.0)/15.0)**2 + ((Z-15.0)/15.0)**2\n",
    "\n",
    "plot = k3d.plot()\n",
    "plot += k3d.marching_cubes(scalar_field.astype(np.float32), level=0.8)\n",
    "plot.display()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "plot.objects[0].level = 0.5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "plot.objects[0].wireframe = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "plot.objects[0].flat_shading = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "plot.camera_no_pan = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "plot.camera_no_rotate = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "plot.camera_no_zoom = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "plot.camera_no_pan = False\n",
    "plot.camera_no_rotate = False\n",
    "plot.camera_no_zoom = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt = plot.objects[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "bool"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(plt.wireframe)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/marcin/anaconda3/lib/python3.7/site-packages/traittypes/traittypes.py:101: UserWarning: Given trait value dtype \"float64\" does not match required type \"float32\". A coerced copy has been created.\n",
      "  np.dtype(self.dtype).name))\n"
     ]
    }
   ],
   "source": [
    "plt.scalar_field = ((X**2-15.0)/15.0)**2 + ((Y-15.0)/15.0)**2 + ((Z-15.0)/15.0)**2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt_line = k3d.line([[0,0,0],[1,2,3]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.ndarray"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(plt_line.vertices)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
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       "model_id": "521769afb7ab462ca094bd497cc227fc",
       "version_major": 2,
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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