multiclassifier/qCutTesting.ipynb

{
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   "execution_count": 1,
   "id": "a8308676-8acc-48e4-9253-a5dfa8705024",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from tqdm import tqdm\n",
    "tqdm.pandas()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "efb6f681-133c-44cf-a786-31049e78312e",
   "metadata": {},
   "outputs": [],
   "source": [
    "myarray2=np.linspace(-8,8,13)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "431715a1-a878-4815-94a4-f89b30297f8c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-8.        , -6.66666667, -5.33333333, -4.        , -2.66666667,\n",
       "       -1.33333333,  0.        ,  1.33333333,  2.66666667,  4.        ,\n",
       "        5.33333333,  6.66666667,  8.        ])"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "myarray2"
   ]
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   "cell_type": "code",
   "execution_count": 4,
   "id": "a72d0e16-e338-4005-a7ba-f38d9ddb6267",
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       "     0    1    2    3    4    5    6    7    8    9   10   11   12   y-local\n",
       "0  0.0  0.0  4.0  5.0  5.0  7.0  4.0  1.0  0.0  0.0  0.0  0.0  0.0 -5.906050\n",
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      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1 = pd.read_csv('test.csv')\n",
    "df1.head()\n",
    "#need to read in just the yprofile column, other things will stay the same"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3f81f906-88a6-4eac-866a-52bb6a65f27d",
   "metadata": {},
   "outputs": [],
   "source": [
    "def replace(row):\n",
    "  for i, item in enumerate(row):\n",
    "     if row[i] >= -8 and row[i] <= -6.67:\n",
    "        row[i] = 0\n",
    "     elif ( row[i] >= -6.67 and row[i] <= -5.33):\n",
    "        row[i] = 1 \n",
    "     elif ( row[i] > -5.33 and row[i] <= -4):\n",
    "        row[i] = 2\n",
    "     elif ( row[i] > -4 and row[i] <= -2.67):\n",
    "        row[i] = 3 \n",
    "     elif ( row[i] > -2.67 and row[i] <= -1.33):\n",
    "        row[i] = 4\n",
    "     elif ( row[i] > -1.33 and row[i] <= 0):\n",
    "        row[i] = 5 \n",
    "     elif ( row[i] > 0 and row[i] <= 1.33):\n",
    "        row[i] = 6\n",
    "     elif ( row[i] > 1.33 and row[i] <= 2.67):\n",
    "        row[i] = 7 \n",
    "     elif ( row[i] > 2.67 and row[i] <= 4):\n",
    "        row[i] = 8\n",
    "     elif ( row[i] > 4 and row[i] <= 5.33):\n",
    "        row[i] = 9 \n",
    "     elif ( row[i] > 5.33 and row[i] <= 6.67):\n",
    "        row[i] = 10\n",
    "     else:\n",
    "        row[i] = 11\n",
    "  return row"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "32e95d59-7f5e-4b28-969f-6349092c3891",
   "metadata": {},
   "outputs": [],
   "source": [
    "df1['y-local'].to_csv('y-localBeforeConverting.csv', index=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "56790d1d-1286-4c15-8d92-85b5b8685175",
   "metadata": {},
   "outputs": [
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       "    y-local\n",
       "0 -5.906050\n",
       "1  8.082580\n",
       "2  0.127132\n",
       "3 -6.684330\n",
       "4 -2.855120"
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    "df2 = pd.read_csv('y-localBeforeConverting.csv')\n",
    "df2.head()"
   ]
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   "execution_count": 8,
   "id": "749daeee-0f7c-4f00-bb29-9367bff072cd",
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    {
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      "100%|██████████| 1/1 [00:00<00:00, 248.63it/s]\n"
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       "   y-local\n",
       "0      1.0\n",
       "1     11.0\n",
       "2      6.0\n",
       "3      0.0\n",
       "4      3.0"
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     "metadata": {},
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   "source": [
    "df3 = df2.progress_apply(lambda row : replace(row)) \n",
    "df3.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6fe5f6a5-4e0e-4f36-885c-ab3cae72363e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df3.to_csv('afterconvertingylocal.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f28aa98b-3795-45c9-9031-452e566d5cd8",
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       "      <td>1.0</td>\n",
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       "      <td>-6.684330</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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      "text/plain": [
       "     0    1    2    3    4    5    6    7    8    9   10   11   12   y-local\n",
       "0  0.0  0.0  4.0  5.0  5.0  7.0  4.0  1.0  0.0  0.0  0.0  0.0  0.0 -5.906050\n",
       "1  0.0  0.0  0.0  0.0  0.0  1.0  4.0  0.0  0.0  0.0  0.0  0.0  0.0  8.082580\n",
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       "4  0.0  0.0  0.0  0.0  0.0  6.0  9.0  7.0  0.0  0.0  0.0  0.0  0.0 -2.855120"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#now replace original set with the new y-local\n",
    "df4 = pd.read_csv('test.csv')\n",
    "df4.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d252369b-7c46-4a6b-a4be-627eaa3e7539",
   "metadata": {},
   "outputs": [
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       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <td>5.0</td>\n",
       "      <td>7.0</td>\n",
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       "      <td>1.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>3.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <th>3</th>\n",
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       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     0    1    2    3    4    5    6    7    8    9   10   11   12\n",
       "0  0.0  0.0  4.0  5.0  5.0  7.0  4.0  1.0  0.0  0.0  0.0  0.0  0.0\n",
       "1  0.0  0.0  0.0  0.0  0.0  1.0  4.0  0.0  0.0  0.0  0.0  0.0  0.0\n",
       "2  0.0  0.0  0.0  0.0  3.0  5.0  3.0  0.0  0.0  0.0  0.0  0.0  0.0\n",
       "3  0.0  0.0  1.0  1.0  3.0  3.0  1.0  0.0  0.0  0.0  0.0  0.0  0.0\n",
       "4  0.0  0.0  0.0  0.0  0.0  6.0  9.0  7.0  0.0  0.0  0.0  0.0  0.0"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df4.drop\n",
    "df4.drop('y-local', axis=1, inplace=True)\n",
    "df4.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0859b080-eef7-4ecb-a390-a933f165c887",
   "metadata": {},
   "outputs": [
    {
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       "   y-local\n",
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   "source": [
    "df5=pd.read_csv('afterconvertingylocal.csv')\n",
    "df5.head()"
   ]
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  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "df2924d0-b9a1-48bc-9750-50b03154c2a7",
   "metadata": {},
   "outputs": [],
   "source": [
    "mergePD = pd.concat([df4,df5], axis = 1, join=\"inner\")\n",
    "mergePD.to_csv('TestSetWithLabeledYLocal.csv',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b929c1ec-9647-45f9-98e7-5a441a6b6294",
   "metadata": {},
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>3.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
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       "    <tr>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>16</th>\n",
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       "      <td>4.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
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       "    <tr>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      0    1     2     3     4     5     6     7    8    9   10   11   12  \\\n",
       "0   0.0  0.0   4.0   5.0   5.0   7.0   4.0   1.0  0.0  0.0  0.0  0.0  0.0   \n",
       "1   0.0  0.0   0.0   0.0   0.0   1.0   4.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "2   0.0  0.0   0.0   0.0   3.0   5.0   3.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "3   0.0  0.0   1.0   1.0   3.0   3.0   1.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "4   0.0  0.0   0.0   0.0   0.0   6.0   9.0   7.0  0.0  0.0  0.0  0.0  0.0   \n",
       "5   0.0  0.0   0.0   0.0   0.0   7.0  19.0  10.0  0.0  0.0  0.0  0.0  0.0   \n",
       "6   0.0  0.0   4.0   9.0   9.0   9.0   2.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "7   3.0  3.0   4.0  11.0   8.0   6.0   5.0   3.0  0.0  0.0  0.0  0.0  0.0   \n",
       "8   0.0  0.0   0.0   0.0   0.0   7.0   8.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "9   0.0  0.0   5.0   5.0   6.0   6.0   4.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "10  0.0  0.0   0.0   0.0   8.0   8.0   8.0   7.0  4.0  0.0  0.0  0.0  0.0   \n",
       "11  0.0  0.0   0.0   1.0   3.0   2.0   3.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "12  0.0  0.0   0.0   2.0   2.0  48.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "13  0.0  0.0   1.0   2.0   1.0   3.0   1.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "14  0.0  0.0   0.0   0.0   0.0   0.0   6.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "15  0.0  0.0   1.0   3.0   2.0   2.0   2.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "16  0.0  0.0   1.0   4.0   6.0   6.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "17  0.0  0.0   0.0   3.0   3.0   2.0   1.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "18  0.0  0.0   0.0   1.0   3.0   3.0   2.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "19  0.0  0.0   0.0   0.0   0.0   2.0  16.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "20  0.0  0.0   0.0   0.0   5.0   8.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "21  0.0  0.0   0.0   0.0   3.0   2.0   3.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "22  0.0  0.0   0.0   0.0   0.0  20.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "23  0.0  0.0   3.0   1.0   3.0   3.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "24  0.0  0.0   1.0   3.0   2.0   3.0   1.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "25  0.0  0.0   0.0   0.0  17.0   7.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "26  0.0  0.0   0.0   1.0   2.0   3.0   2.0   3.0  2.0  0.0  0.0  0.0  0.0   \n",
       "27  0.0  0.0   0.0   1.0   2.0   3.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "28  0.0  0.0   0.0   1.0   3.0   3.0   6.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "29  0.0  0.0   9.0  15.0  12.0   4.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "30  0.0  0.0   0.0   0.0   0.0   6.0  10.0   4.0  0.0  0.0  0.0  0.0  0.0   \n",
       "31  0.0  0.0   0.0   0.0   0.0   7.0   2.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "32  0.0  0.0   0.0   6.0  10.0  10.0   9.0   1.0  0.0  0.0  0.0  0.0  0.0   \n",
       "33  0.0  0.0   5.0   3.0   5.0   3.0   4.0   1.0  0.0  0.0  0.0  0.0  0.0   \n",
       "34  0.0  0.0   0.0   1.0   4.0   4.0   5.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "35  0.0  0.0   0.0   0.0   0.0   3.0   3.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "36  0.0  0.0   0.0   0.0   0.0  11.0   6.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "37  0.0  0.0   0.0   0.0   0.0   4.0   3.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "38  0.0  0.0  10.0  12.0  11.0  10.0   0.0   0.0  0.0  0.0  0.0  0.0  0.0   \n",
       "\n",
       "    y-local  \n",
       "0       1.0  \n",
       "1      11.0  \n",
       "2       6.0  \n",
       "3       0.0  \n",
       "4       3.0  \n",
       "5       7.0  \n",
       "6       2.0  \n",
       "7       0.0  \n",
       "8      10.0  \n",
       "9       0.0  \n",
       "10      2.0  \n",
       "11      4.0  \n",
       "12     11.0  \n",
       "13      2.0  \n",
       "14     10.0  \n",
       "15      0.0  \n",
       "16      6.0  \n",
       "17      3.0  \n",
       "18      5.0  \n",
       "19      8.0  \n",
       "20      8.0  \n",
       "21      5.0  \n",
       "22     10.0  \n",
       "23      2.0  \n",
       "24      4.0  \n",
       "25      6.0  \n",
       "26      0.0  \n",
       "27      8.0  \n",
       "28      5.0  \n",
       "29      2.0  \n",
       "30      7.0  \n",
       "31     10.0  \n",
       "32      4.0  \n",
       "33      0.0  \n",
       "34      3.0  \n",
       "35      7.0  \n",
       "36     11.0  \n",
       "37     11.0  \n",
       "38      0.0  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
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