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    "Example complicated lactam analysis.\n",
    "\n",
    "The input cores are generic in atoms and bonds, the system figures out the correct cores for grouping purposes.\n",
    "\n",
    "This may be overkill ( and certainly takes a long enough time ).  What the algorithm is doing is first mapping each core to each other and then trying to optimizes the side chain selection across all sets.  I.e. it tries to make the matching choices such that all R1's are the same, all R2's are the same and so on.\n",
    "\n",
    "**n.b.** *It is important that the cores are input in most to least specific as the RGroupDecomposition takes the first matching core.*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
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    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/kellebr5/anaconda/lib/python2.7/site-packages/ipykernel/__main__.py:6: RuntimeWarning: to-Python converter for std::vector<boost::shared_ptr<RDKit::ROMol>, std::allocator<boost::shared_ptr<RDKit::ROMol> > > already registered; second conversion method ignored.\n"
     ]
    }
   ],
   "source": [
    "from __future__ import print_function\n",
    "from rdkit import Chem\n",
    "from rdkit.Chem import AllChem\n",
    "from rdkit.Chem.Draw import IPythonConsole\n",
    "IPythonConsole.ipython_useSVG=True\n",
    "from rdkit.Chem.rdRGroupDecomposition import RGroupDecomposition\n",
    "import pandas as pd\n",
    "from rdkit.Chem import PandasTools\n",
    "from collections import OrderedDict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "cores = OrderedDict()\n",
    "\n",
    "cores['six'] = Chem.MolFromSmarts('[#8]-[#6](=O)-*~1~*~*~*~*~2-[#6]-[#6](=O)-*~1~2')\n",
    "cores['five'] = Chem.MolFromSmarts('[#8]-[#6](=O)-*~1~*~*~*~2-[#6]-[#6](=O)-*~1~2')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
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     },
     "execution_count": 3,
     "metadata": {},
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    }
   ],
   "source": [
    "from rdkit.Chem import Draw\n",
    "Draw.MolsToGridImage(cores.values())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To use RGroupDecomposition:\n",
    "  \n",
    "  1. construct the class on the core rg = RGroupDecomposition(core)\n",
    "  2. Call rg.Add( mol ) on the molecules.  If this returns -1, the molecule is not\n",
    "     compatible with the core\n",
    "  3. After all molecules are added, call rg.Process() to complete the rgroup\n",
    "     decomposition."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Added 1000\n",
      "Added 2000\n",
      "Added 3000\n",
      "Added 4000\n",
      "Added 2309 to RGroup Decomposition out of 4340\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "RDKit ERROR: [07:31:59] SMILES Parse Error: syntax error for input: 'CANONICAL_SMILES'\n"
     ]
    }
   ],
   "source": [
    "rg = RGroupDecomposition(cores.values())\n",
    "\n",
    "mols = []\n",
    "count = 0\n",
    "maxidx = -1\n",
    "for line in open(\"compounds.txt\"):\n",
    "    sm = line.split()[-1]\n",
    "    m = Chem.MolFromSmiles(sm)\n",
    "    if m:\n",
    "        count += 1\n",
    "        maxidx = max(maxidx,rg.Add(m))\n",
    "        if count % 1000 == 0:\n",
    "            print(\"Added\", count)\n",
    "\n",
    "print (\"Added %s to RGroup Decomposition out of %s\"%(maxidx, count))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rg.Process()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Rendering this many molecules is pretty taxing for the current system, this takes a while.\n",
    "\n",
    "It is useful to disable logging here.  When making RGroup renderings there \n",
    "are a lot of sanitization warnings."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from rdkit import rdBase\n",
    "rdBase.DisableLog(\"rdApp.*\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The RGroupDecomposition code is quite compatiable with the python pandas integration.\n",
    "Calling rg.GetRGroupsAsColumns() can be sent directly into a pandas table.\n",
    "\n",
    "**n.b.** You need to call PandasTools.ChangeMoleculeRendering(frame) to allow the molecules\n",
    "to be rendered properly."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "frame = pd.DataFrame(rg.GetRGroupsAsColumns())\n",
    "PandasTools.ChangeMoleculeRendering(frame)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Just show the first few (for speed and to keep the notebook small)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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       "  <thead>\n",
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       "      <th>Core</th>\n",
       "      <th>R1</th>\n",
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       "      <th>R4</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAHhElEQVR4nO2dW7qrKBBGsb+e0TkzS96TASRD22OyH+xD214IUX6owrWedsxlE1ypKhF0GMcxAJTmr9YNgD5BLJCAWCABsUACYoEExAIJiAUSEAskIBZIQCyQgFggAbFAAmKBBMQCCYgFEhALJCAWSEAskIBYIAGxQAJigQTEAgmIBRIQCyQgFkhALJCAWCABsUACYoEExAIJiAUSEAsk+BPr/X5/3ALN8ScWuACxQAJigYS/WzfgCBRV9nEp1u12mz/EM4O4FOviPJ/PvYfx78Vrcp4tzOiN1+v1cUvfPB6PzYfz7YvXfHy2OBTv/ZCOQzWi1Ax/qXBRYG1uuTKTQPOst86VFSQbRm554o1EjTXfmLAn/WwR/EUsCJXL8EO4rLEYX4jMY4+pGsulWGAfUmE/bEavuDE/thXBX/H+fr85DLQPqRAkIBZIQCzHmB1rCIgFIpyJReXuBWdiQaTCaZkzIBZIQCyQ8LVYDZf1UWA5gogFEhDLJcYr9+BLrPv93roJkMuR2Q1Mh4KPHBErsaxv+psSGwrPx5qUiqoVNGwY/M3wEWG/wAqiiX7RJ4Vh4ALtDNKFYd3o9fMzxL9//SKOblA1v5wJYHZS4c/PMJdp8bACdroiQZsmTobd7/f8/26nN+ubtMBOVyRo3MRhGEIIOW0w1ZtTKmyil6l+SGCilZNeIWmYwQ7d1EvtnMF+2MRWK/cCmOXe3MyMsbovbpjlrphja13h1GU5AawhOTVWfIHOMOPYEmsi+pRfgZnlsoY5iKsG9TozjnXGMC95MHgRaxxHR32ayWTY799f/GYcdYL1hs670lG3fkV+TemoByzWWJH3+z3vxy7jVljVlMFY3j+G3Yl+mzPcJ7fiDqjJvK4SEa8MO/xh/qyvH5XRiJVYNxGHJGr2cuXTOB3EMIs/gszVONXcan5yMMwMW2NwDwabYuVTxy0LYoX9L7vp3Ov1in83ma1kNBVmUqGcN2JVgo9ff2+Nwp5w64xxYEWnb7GC2C37VuWQECjnZcdwL1aQudWHVQmkKdLucMNXTG4V/MDurVLTQ8SaiG65Phwxwvmlo/2IFcoNcRGuzt8Rsk0qlF6y5mRaHIarW1WETmqsBYfd8nXaxDJ9ihUE5Tx8Rbdihe/dIlxNFLkjZLPivc4la/KHuLCqLM3EqnYn+hy3sKo4PafCCPVWfS4hVkjOEPQTrlw08l+uIlb4Mz/T9bRMR1yxW6NMvqwahuCnsVeKWBFKrgpcUazQ74IfO1xUrLgItnVDuuWKYhGrKnA5seZWEbR0XEusdazCLREXEmsvA+KWgquIRV1Vmf7Fms7kpK0iaBWnw6nJcyalcmIVbpWl54j1bfrDrYJ0K1Z/RZWvb9OnWIetImiVosOpySdjFacRi9Db1OQiTuDWebpKhdhgh37EKmsVxdZJOhFLEatw6ww95A5pBmyeXtczkl3MUXYfsZrv+Ap4jJsWxco/QqxglYWEOI7+3LIo1u12++hWzqnlUlhwyx0WxfpI/qnlUtR0axg24pO7oGVUrETQ6rWomnyaCvPN7+fLLaNihR23GlolCloLn7r5yVj/9Vu7rVypNkRFP37YYnBheuNiS+te2aD9rvqItRthnmlJvk/zt3wcx1rb1hwfV022Y9UxhmGYrhVz4Eus37K3xVToMi1WvG67qaP9r64SGN8ibtT0Xwy5ZVQs47cCSLvV8CaD8cixec/ZEsvRfR833bLwezCSFq0MN8SR9Mojn0WId9q10/hxDM/ns2ED2hfFmb9ym/W7hRCV4Pl8ttKr2d6aBj/v93tmA+yIZW1oLc0kVn29avdLHEz/9pr0pnahL7dCi9BVr1MmpQ7ffLHt/lv8d3dihepuyTvlcIha0Hz/pccXcGuBqkdK+TT/wPp3Y08EqsTLICjGsU6mvOasL/m39xASlBfLr1ITaZkSl25DuDlHBkirXYSoGqbORdbh+X/Wz6bf+/HzbZ3SqU8cLj+ZAT0GrbkfUa/zSk1YOaXTijh1YjGHYv2wQeNakD5yzD+udCNWztKdY2S6lf85/XFgkOJgKvReVO3hMaMdZpEKM1+ZyUGxqt0ftQ57Pn3r2ePxKN00IVEXxaipm1SoJpEQ8z+k4WyCMyiajVj/secWHACxtjnsltOglebINxovw+v1+rhlHMfzffJ4PE5+QgcQsZaMp/Ngl0HrWxBrg/Eaww1SEEsCQeta5wq9j7d5onWRV4/M4r0gV67iSYUgwYdYTmeAXbnS8iEWuONCYq3nTFeYRU3EAiiJm+EGF0UVRNyI1dkMsO4hFYIExAIJiAUSrrJwoBWL4YbNpaFFlltZw03x7pfNdaHrp9JvdAepsBm9xqoJxDKEa5MWkArlbOa+9KU4vIergFgVWK8L7TsJTnBUqGVdradjVdg5cpQ0TkrrmYads5hEup5Tmp5l6ncOKsW7IVxGph1IhSCBiAUSEAskIBZIQCyQgFggAbFAAmKBBMQCCYgFEhALJCAWSEAskIBYIAGxQAJigQTEAgmIBRIQCyQgFkhALJCAWCABsUACYoEExAIJiAUSEAskIBZIQCyQ8A/fkvAm9PVSWQAAAABJRU5ErkJggg==\" alt=\"Mol\"/></td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "      <td><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAHaElEQVR4nO2dXbarKBBGsVfP6PbMTt6TASRDu2NKP9CXZatBonxQhXs/5ZifQ3CnqkTQ6f1+B4Da/NW7ATAmiAUSEAskIBZIQCyQgFggAbFAAmKBBMQCCYgFEhALJCAWSEAskIBYIAGxQAJigQTEAgmIBRIQCyQgFkhALJCAWCABsUACYoEExAIJiAUSEAskIBZIQCyQgFggAbFAAmKBBH9ivV6v3S3QHX9igQsQCyQgFkj4u3cDjkBRZR+XYv38/Mz/xDODuBTr4jwej09/pseL15Q8W5m3N57P5+6Wsbnf75t/zrcvXrP7bHUo3schH4daRKkZ/lLhosDa3HJlokDzrLfOlQ0km97c8sQbmRprvjFjT/7ZKviLWBAal+GHcFljMb6QmMceUzWWS7HAPqTCcdiMXmljeWyrgr/i/fV6cRhoH1IhSEAskIBYjjE71hAQC0Q4E4vK3QvOxIJEg9MyZ0AskIBYIOFrsTou66PAcgQRCyQglkuMV+7Bl1i32613E6CUI7MbmA4FuxwRK7OsLz6mxIbK87GiUkm1ioZNk78ZPiLsF1hBNNEv+aQwDFygnUG6MGwYvX7/ntLjX7+Ioxs0zS9nApidVPj79zSXafFnA+x0RYY+TYyG3W638v9upzfbm7TATldk6NzEaZpCCCVtMNWbMRV20ctUP2Qw0cqoV8gaZrBDN/VSO2ewHzax1cpPAcxyb25mxlTdVzfMclfMsbWuMHZZSQDrSEmNlV6gM8w4tsSKJJ/KKzCzXNYwB3HVoF5nxrHOGOYlDwYvYr3fb0d9Wkg07J9/vvjNOOoE6w2dd6Wjbv2K8prSUQ9YrLESr9dr3o9Dxq2wqimDsbx/DLsT/TZnuEe30g5oybyuEpGuDDv9Yf6srx+V0YiVWTeRhiRa9nLj0zgDxDCLP4LC1TjN3Op+cjDMDFtjcA8Gm2KV08YtC2KFz19207nn85ked5mtZDQVFtKgnDdiVYbdr/9pjcIn4dYZ48CKTt9iBbFb9q0qISNQycuO4V6sIHNrDKsySFOk3eGGr4huVfzA4a1SM0LEiiS3XB+OGOH80tFxxAr1hrgIV+fvCNknFUovWXMyLU7T1a2qwiA11oLDbvk6bWKZMcUKgnIevmJYscL3bhGuIlXuCNmteG9zyZryIS6sqks3sZrdib7ELayqzsipMEG91Z5LiBWyMwT9hCsXjfyPq4gV/szPdD0t0xFX7NYkky+rpin4aeyVIlaCkqsBVxQrjLvgxw4XFSstgu3dkGG5oljEqgZcTqy5VQQtHdcSax2rcEvEhcT6lAFxS8FVxKKuasz4YsUzOXmrCFrVGXBq8pyoVEmswq26jByxvk1/uFWRYcUar6jy9W3GFOuwVQStWgw4NflkrOI0YhVGm5pcxQncOs9QqRAb7DCOWHWtotg6ySBiKWIVbp1hhNwhzYDd0+t6RrKLOcruI1b3Hd8Aj3HToljlR4gNrLKQEN9vf25ZFOvn52fXrZJTy7Ww4JY7LIq1S/mp5Vq0dGuaNuKTu6BlVKxM0Bq1qIo+xcJ88/v5csuoWOGDWx2tEgWthU/D/GSs//qt3VauVhuSorsfthhciG9cbOndKxv031W7WLsR5pmWlPs0f8vuONbatu74uGqyHauOMU1TvFbMgS+xfsunLaZCl2mx0nXbTR3tf3WVwPQWcaPifzHkllGxjN8KIO9Wx5sMpiPH7j1nSyxH933cdMvC78FIWrQy3JBG0huPfFYh3WnXTuPf7/B4PDo2oH9RXPgrt1m/WwhRGR6PRy+9uu2tOPh5u90KG2BQLONWRaJY7fVqvbfSYPq316Q3JdZcKVMN+0T70NWuU6JSh2++aGf/LVpip2F5Grsl75TDIWqBkf232QwjbdulpVuqHqnl0/wDu9yNPZGpqLyI1ZL641gnU55NUOdb6os1mFIhhNfrVXIVJMybc2SAtNlFiCzQPQWLePyf9bP59+5+vq1TOqb4Kqd7DFpzP5Je55WKINY2owaqXfJ6lQ+3WjlXuEvJ0p1aHLPK2vSeihwYpDgYsUYtqoY8pP3EIhUWvrKQg2I1uz9qS86nv/v9XqsxDUi6KEZN3aTCBpwPVB1nE5xB0WzEAgmIVRmnQSvPkW/0vgzP53N3SxXu97viY31BxKrPkEHrWxALJCCWBILWtU7pjDHe5oPeRV47mhXviStX8aRCkOBDLKczwK5cafkQC9xxIbHWpwIbzGIgYgHUxM1wg4uiChJuxBpyBtjAkApBAmKBBMQCCc6WwrljMdywuTQ0MyThd4jVTfHul811oeun8m90B6mwG6PGqghiGcK1SQtIhXI2c1/+Uhzew1VArAas14WOnQQjHBVqWVfr+VgVPhw5ShonpfdMw8FZTCJdzynNzzL1OweV4t0QLiPTB0iFIIGIBRIQCyQgFkhALJCAWCABsUACYoEExAIJiAUSEAskIBZIQCyQgFggAbFAAmKBBMQCCYgFEhALJCAWSEAskIBYIAGxQAJigQTEAgmIBRIQCyQgFkhALJDwL+4ik0nsf2VjAAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
       "      <td><img src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 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                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       R5\n",
       "0  <img 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alt=\"Mol\"/>  <img 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alt=\"Mol\"/>  <img 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alt=\"Mol\"/>  <img 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       "1  <img 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alt=\"Mol\"/>                                                  <img 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alt=\"Mol\"/>                                                                                                                                                                                                                                                                                  <img 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alt=\"Mol\"/>                                                  <img 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alt=\"Mol\"/>                                                  <img 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alt=\"Mol\"/>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              <img 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alt=\"Mol\"/>              <img 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alt=\"Mol\"/>                                                                                                                                                              <img src=\"data:image/png;base64,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\" alt=\"Mol\"/>\n",
       "3  <img 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alt=\"Mol\"/>                                                      <img 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alt=\"Mol\"/>                                                                                                                                                                                                                                                                                  <img src=\"data:image/png;base64,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\" alt=\"Mol\"/>                                                      <img 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alt=\"Mol\"/>                                                      <img 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alt=\"Mol\"/>                                                                                                                                                              <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAGT0lEQVR4nO3dXZLaOhRFYZPKjGEAPQA8ZuVBjUvxH7KtfY4kr6/ywOV2gIaFLGSbPEIIA1DaH+8HgD4RFiQICxKEBQnCggRhQYKwIEFYkCAsSBAWJAgLEoQFCcKCBGFBgrAgQViQICxIEBYkCAsShAUJwoIEYUGCsCBBWJAgLEgQFiQICxKEBQnCggRhQYKwIEFYkCAsSBAWJAgLEoQFCcKCBGFBgrAgQViQICxIEBYkCAsShAUJwoIEYUGCsCBBWJAgLEgQFiQICxKEBQnCggRhQaLPsMZxXL0MM32GBXd/vR+ACgOVr27Dej6f8QKFuWBTCInOw2K48tJnWNN2cHYZZvoMC+4ICxKElYtF10M6D+v5fBKBi27XsRRoNB9hHcCia77ON4Xw0n9Yr9er1E0xUOXrP6xSWHQ9hLAgQVi5xnFkoMrXf1ghhMfj4f0obqf/sOCCsCBBWFmYYB11l7CYZhl7hBC8H4NQ7Cn+junlE7fT9xNVXM/7Cmc1pHkNZwtDpm7D2hpjpispTKrDsFY3ecvOZoWRV1mmk3eDgzBjQF+rSsWff3xs3Wb5x9q1fkasrYFqeeUqNpFlWYe1HKjiNRdXiVYHlXMjDZvIIqzDWh6EGa+5klfBqlLpp0iGsaNq2RSey+vi5i9HnH4tN5TDMLzf752/OP1G6XvpPsv3tYQVpXm9Xq/9OEQD1T5GrExVf97Z2QBZVnXlZmdzSkasKqzOo7e2dLqxarY1POqe5/ZUHdbka1Kr18NRS0c3rKazuiIKd1XPsZZmmySzNXEW349qacRa4sWuVtthoVqNhcUpN61oLCwvBH0UYUGijXUsGPj5+fl6YbqcXrOqxbD4JKgyRbOa1OzH9rEpxJ6dQWtfe+t+j8fg8pC7XyPdGqXSASwfI1bFHo/fPzKrDZ3IaKm9OVYIboOWqfSXFPzCOXPw9Gem4DIn700O77fYGi7DKvdrlxqWdrQ3Ylmqa14V24oXzsocb64jrE0+Ve0PS/F/nc3LYKCa1PSOrIbbEYWzqqZp++o9HszL+H1CWHNbL8B0vSSv09u4zy7MncfjcoQtYf1n6xyNQXqSWYlZuf2pAF8eD2FNTpz5UyCvoh9xZ+c1OX74IKxhuPx2P5+XbOHE/QST9j4VFl84zN/8bTnxlW4GL/zFs9Yuai+soej73OXbRMxeb8e2mgxruQp94kOVbrbrdWLt6l1Mx74a59VkWEvpwuGQUdjXNYUSD2mel80LvPXdhcZDV0tHN6S7+afdG6kQfv/sHxOwtflTPPXTi+q+dyiEYHmO/9WwbP4J7hjK7HXZ3/Mx5bU8CWJr86R74c3O1R7HceeOLP+F7AZGrJjU9HSlz9v+i/UZwMLWl4t+br+TNZec798ya6vAHEv07Y9RkQ+AW1Mc98UeF7Et+RcqhWve7/fq5fif0blbHoZw+dGt3uzvb339dz90p6uXCzr6PJ9+XTIJPxXOvhfq0FtEdyhf8N7XUQn5uHUxzJ0Ra/mT8Us7v97m9UdVw11s3Z3irk8PP7pxy+GNuzOzMZv0WB+c9P/X4xa/6wq/NtdhgTRsT6XtK7cRNi4XUWFVg/vRDVNe9lU5nxnRO+d1rN/tcb9jVSuKL3T7L5DGqviSoM4474SexqrOx630eIzlsRl1KLsi7xnWrCTjtvb/wZIbKvt99P6bwhTbxK9s9vpf5xbW1uAUbI/ugIjPpjDn6I4K12YqoXjjpc92mWdetKK/I3M3gnovqc1dFJe/D81XXXOsVBy32Cw2yjqsQ9u45/NpedAjCqp3xJrQVqr8ZEjDNKzTU/Kan0Gs6uT0r3Mces0/Q61xdmGxgnCrYxz63T1XoTuF1cDkPdXKDg00FhZa0d7kvdRAlc75jOZ/6fcCdL0dHFoMq+zRHdZ672ki3BTWPx8aP7wfSIfaG7EKanvwq5s2rOIvWCs7NKANiyHhtu673MDgJ3XfsCDFLh1IMGJBgrAgQViQICxIEBYkCAsShAUJwoIEYUGCsCBBWJAgLEgQFiQICxKEBQnCggRhQYKwIEFYkCAsSBAWJAgLEoQFCcKCBGFBgrAgQViQICxIEBYkCAsShAUJwoIEYUGCsCBBWJAgLEgQFiQICxKEBQnCggRhQYKwIEFYkCAsSBAWJAgLEoQFCcKCxD+ZNU9jGDBIZgAAAABJRU5ErkJggg==\" alt=\"Mol\"/>\n",
       "4  <img 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alt=\"Mol\"/>                                                      <img 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alt=\"Mol\"/>                                                                                                                                                                                                                                                                                  <img 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alt=\"Mol\"/>                                                      <img 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alt=\"Mol\"/>                                                      <img src=\"data:image/png;base64,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\" alt=\"Mol\"/>  <img src=\"data:image/png;base64,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\" alt=\"Mol\"/>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f2 = pd.DataFrame(frame.head())\n",
    "PandasTools.ChangeMoleculeRendering(f2)\n",
    "f2"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
