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     "name": "stdout",
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     "text": [
      "182\n",
      "{0: 'C', 1: 'C', 2: 'C', 3: 'C', 4: 'C', 5: 'C', 6: 'C', 7: 'C', 8: 'C', 9: 'C', 10: 'S'}\n"
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   ],
   "source": [
    "# draw all the praphs\n",
    "import sys\n",
    "import pathlib\n",
    "sys.path.insert(0, \"../../\")\n",
    "\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import networkx as nx\n",
    "from gklearn.utils.graphfiles import loadDataset\n",
    "\n",
    "\n",
    "def main(): \n",
    "    dataset, y = loadDataset(\"../../../../../datasets/acyclic/Acyclic/dataset_bps.ds\")\n",
    "    for idx, graph in enumerate(dataset):\n",
    "        print(idx)\n",
    "        print(nx.get_node_attributes(graph, 'label'))\n",
    "        nx.draw_networkx(graph)\n",
    "        plt.show()\n",
    "    \n",
    "if __name__ == '__main__':\n",
    "    main()"
   ]
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      "148\n",
      "{0: 'C', 1: 'C', 2: 'C', 3: 'C', 4: 'C', 5: 'C', 6: 'C', 7: 'C', 8: 'C', 9: 'C'}\n"
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     "text": [
      "149\n",
      "{0: 'C', 1: 'C', 2: 'C', 3: 'C', 4: 'C', 5: 'C', 6: 'C', 7: 'C', 8: 'C', 9: 'C'}\n"
     ]
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   ],
   "source": [
    "# draw all the praphs\n",
    "import sys\n",
    "import pathlib\n",
    "sys.path.insert(0, \"../../\")\n",
    "\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import networkx as nx\n",
    "from gklearn.utils.graphfiles import loadDataset\n",
    "\n",
    "\n",
    "def main(): \n",
    "    dataset, y = loadDataset(\"../../datasets/Alkane/dataset.ds\", filename_y=\"../../datasets/Alkane/dataset_boiling_point_names.txt\")\n",
    "    for idx, graph in enumerate(dataset):\n",
    "        print(idx)\n",
    "        print(nx.get_node_attributes(graph, 'label'))\n",
    "        nx.draw_networkx(graph)\n",
    "        plt.show()\n",
    "    \n",
    "if __name__ == '__main__':\n",
    "    main()"
   ]
  },
  {
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   "execution_count": 4,
   "metadata": {},
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     "text": [
      "67\n",
      "{0: 'N', 1: 'C', 2: 'C', 3: 'C', 4: 'C', 5: 'C', 6: 'C', 7: 'C', 8: 'C', 9: 'C', 10: 'N', 11: 'C', 12: 'C', 13: 'C', 14: 'C', 15: 'C', 16: 'C', 17: 'C', 18: 'C', 19: 'C', 20: 'O'}\n"
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   ],
   "source": [
    "# draw all the praphs\n",
    "import sys\n",
    "import pathlib\n",
    "sys.path.insert(0, \"../../\")\n",
    "\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import networkx as nx\n",
    "from gklearn.utils.graphfiles import loadDataset\n",
    "\n",
    "\n",
    "def main(): \n",
    "    dataset, y = loadDataset(\"../../datasets/MAO/dataset.ds\")\n",
    "    for idx, graph in enumerate(dataset):\n",
    "        print(idx)\n",
    "        print(nx.get_node_attributes(graph, 'label'))\n",
    "        nx.draw_networkx(graph)\n",
    "        plt.show()\n",
    "    \n",
    "if __name__ == '__main__':\n",
    "    main()"
   ]
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   "execution_count": 5,
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    "scrolled": true
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     "text": [
      "0\n",
      "{0: 'C', 1: 'C', 2: 'C', 3: 'C', 4: 'C', 5: 'C', 6: 'C', 7: 'C', 8: 'C', 9: 'C'}\n"
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      "{0: 'C', 1: 'C', 2: 'C', 3: 'C', 4: 'C', 5: 'C', 6: 'C', 7: 'C', 8: 'C', 9: 'C', 10: 'C', 11: 'C', 12: 'C', 13: 'C'}\n"
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     "text": [
      "93\n",
      "{0: 'C', 1: 'C', 2: 'C', 3: 'C', 4: 'C', 5: 'C', 6: 'C', 7: 'C', 8: 'C', 9: 'C', 10: 'C', 11: 'C', 12: 'C', 13: 'C', 14: 'C', 15: 'C', 16: 'C', 17: 'C', 18: 'C', 19: 'C'}\n"
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   ],
   "source": [
    "# draw all the praphs\n",
    "import sys\n",
    "import pathlib\n",
    "sys.path.insert(0, \"../../\")\n",
    "\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import networkx as nx\n",
    "from gklearn.utils.graphfiles import loadDataset\n",
    "\n",
    "\n",
    "def main(): \n",
    "    dataset, y = loadDataset(\"../../../../../datasets/PAH/dataset.ds\")\n",
    "    for idx, graph in enumerate(dataset):\n",
    "        print(idx)\n",
    "        print(nx.get_node_attributes(graph, 'label'))\n",
    "        nx.draw_networkx(graph)\n",
    "        plt.show()\n",
    "    \n",
    "if __name__ == '__main__':\n",
    "    main()"
   ]
  },
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   "execution_count": 1,
   "metadata": {
    "scrolled": true
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     "output_type": "stream",
     "text": [
      "0\n",
      "{}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/dist-packages/networkx/drawing/nx_pylab.py:611: MatplotlibDeprecationWarning: isinstance(..., numbers.Number)\n",
      "  if cb.is_numlike(alpha):\n"
     ]
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       "<Figure size 432x288 with 1 Axes>"
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   "source": [
    "# draw all the praphs\n",
    "import sys\n",
    "import pathlib\n",
    "sys.path.insert(0, \"../../\")\n",
    "\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import networkx as nx\n",
    "from gklearn.utils.graphfiles import loadDataset\n",
    "\n",
    "\n",
    "def main(): \n",
    "    dataset, y = loadDataset(\"../../datasets/MUTAG/MUTAG_A.txt\")\n",
    "    for idx, graph in enumerate(dataset):\n",
    "        print(idx)\n",
    "        print(nx.get_node_attributes(graph, 'label'))\n",
    "        nx.draw_networkx(graph)\n",
    "        plt.show()\n",
    "    \n",
    "if __name__ == '__main__':\n",
    "    main()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": false
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   "outputs": [
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     "text": [
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     ]
    },
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     "text": [
      "/usr/local/lib/python3.6/dist-packages/networkx/drawing/nx_pylab.py:611: MatplotlibDeprecationWarning: isinstance(..., numbers.Number)\n",
      "  if cb.is_numlike(alpha):\n"
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   "source": [
    "# draw all the praphs\n",
    "import sys\n",
    "import pathlib\n",
    "sys.path.insert(0, \"../../\")\n",
    "\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import networkx as nx\n",
    "from gklearn.utils.graphfiles import loadDataset\n",
    "\n",
    "\n",
    "def main(): \n",
    "    dataset, y = loadDataset(\"../../datasets/MUTAG/MUTAG_A.txt\")\n",
    "    for idx, graph in enumerate(dataset):\n",
    "        print(idx)\n",
    "        print(nx.get_node_attributes(graph, 'atom'))\n",
    "        nx.draw(graph, labels=nx.get_node_attributes(graph, 'atom'), with_labels=True)\n",
    "        plt.show()\n",
    "    \n",
    "if __name__ == '__main__':\n",
    "    main()"
   ]
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     "text": [
      "0 Z\n"
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     "text": [
      "/usr/local/lib/python3.6/dist-packages/networkx/drawing/nx_pylab.py:611: MatplotlibDeprecationWarning: isinstance(..., numbers.Number)\n",
      "  if cb.is_numlike(alpha):\n"
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   "source": [
    "# draw all the praphs\n",
    "import sys\n",
    "import pathlib\n",
    "sys.path.insert(0, \"../../\")\n",
    "\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "import networkx as nx\n",
    "from gklearn.utils.graphfiles import loadDataset\n",
    "\n",
    "def nb2letter(nb):\n",
    "    if nb == 0:\n",
    "        return 'Z'\n",
    "    if nb == 1:\n",
    "        return 'N'\n",
    "    if nb == 2:\n",
    "        return 'X'\n",
    "    if nb == 3:\n",
    "        return 'T'\n",
    "    if nb == 4:\n",
    "        return 'W'\n",
    "    if nb == 5:\n",
    "        return 'A'\n",
    "    if nb == 6:\n",
    "        return 'M'\n",
    "    if nb == 7:\n",
    "        return 'K'\n",
    "    if nb == 8:\n",
    "        return 'L'\n",
    "    if nb == 9:\n",
    "        return 'E'\n",
    "    if nb == 10:\n",
    "        return 'H'\n",
    "    if nb == 11:\n",
    "        return 'F'\n",
    "    if nb == 12:\n",
    "        return 'V'\n",
    "    if nb == 13:\n",
    "        return 'I'\n",
    "    if nb == 14:\n",
    "        return 'Y'\n",
    "    \n",
    "\n",
    "# Dessin median courrant\n",
    "def draw_Letter_graph(graph):\n",
    "    plt.figure()\n",
    "    pos = {}\n",
    "    for n in graph.nodes:\n",
    "        pos[n] = np.array([float(graph.node[n]['attributes'][0]),\n",
    "           float(graph.node[n]['attributes'][1])])\n",
    "    nx.draw_networkx(graph, pos)\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "def main(): \n",
    "    dataset, y = loadDataset(\"../../datasets/Letter-med/Letter-med_A.txt\")\n",
    "    for idx, graph in enumerate(dataset):\n",
    "        print(idx, nb2letter(y[idx]))\n",
    "#         print(nx.get_node_attributes(graph, 'label'))\n",
    "#         nx.draw_networkx(graph)\n",
    "#         plt.show()\n",
    "        draw_Letter_graph(graph)\n",
    "    \n",
    "if __name__ == '__main__':\n",
    "    main()"
   ]
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      "  if cb.is_numlike(alpha):\n"
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   "source": [
    "# draw all the praphs\n",
    "import sys\n",
    "import pathlib\n",
    "sys.path.insert(0, \"../../\")\n",
    "\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "import networkx as nx\n",
    "from gklearn.utils.graphfiles import loadDataset\n",
    "\n",
    "def nb2letter(nb):\n",
    "    if nb == 0:\n",
    "        return 'N'\n",
    "    if nb == 1:\n",
    "        return 'H'\n",
    "    if nb == 2:\n",
    "        return 'M'\n",
    "    if nb == 3:\n",
    "        return 'A'\n",
    "    if nb == 4:\n",
    "        return 'W'\n",
    "    if nb == 5:\n",
    "        return 'Y'\n",
    "    if nb == 6:\n",
    "        return 'I'\n",
    "    if nb == 7:\n",
    "        return 'F'\n",
    "    if nb == 8:\n",
    "        return 'V'\n",
    "    if nb == 9:\n",
    "        return 'T'\n",
    "    if nb == 10:\n",
    "        return 'X'\n",
    "    if nb == 11:\n",
    "        return 'Z'\n",
    "    if nb == 12:\n",
    "        return 'K'\n",
    "    if nb == 13:\n",
    "        return 'E'\n",
    "    if nb == 14:\n",
    "        return 'L'\n",
    "    \n",
    "\n",
    "# Dessin median courrant\n",
    "def draw_Letter_graph(graph):\n",
    "    plt.figure()\n",
    "    pos = {}\n",
    "    for n in graph.nodes:\n",
    "        pos[n] = np.array([float(graph.node[n]['attributes'][0]),\n",
    "           float(graph.node[n]['attributes'][1])])\n",
    "    nx.draw_networkx(graph, pos)\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "def main(): \n",
    "    dataset, y = loadDataset(\"../../datasets/Letter-high/Letter-high_A.txt\")\n",
    "    for idx, graph in enumerate(dataset):\n",
    "        print(idx, nb2letter(y[idx]))\n",
    "#         print(nx.get_node_attributes(graph, 'label'))\n",
    "#         nx.draw_networkx(graph)\n",
    "#         plt.show()\n",
    "        draw_Letter_graph(graph)\n",
    "    \n",
    "if __name__ == '__main__':\n",
    "    main()"
   ]
  },
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      "/usr/local/lib/python3.6/dist-packages/networkx/drawing/nx_pylab.py:611: MatplotlibDeprecationWarning: isinstance(..., numbers.Number)\n",
      "  if cb.is_numlike(alpha):\n"
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