DecisionTree-Training.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['/eos/home-a/antoniov/SWAN_projects/env/uproot/lib/python3.8/site-packages', '/cvmfs/sft.cern.ch/lcg/views/LCG_99/x86_64-centos7-gcc8-opt/python', '/cvmfs/sft.cern.ch/lcg/views/LCG_99/x86_64-centos7-gcc8-opt/lib', '', '/cvmfs/sft.cern.ch/lcg/views/LCG_99/x86_64-centos7-gcc8-opt/lib/python3.8/site-packages', '/cvmfs/sft.cern.ch/lcg/releases/Python/3.8.6-3199b/x86_64-centos7-gcc8-opt/lib/python38.zip', '/cvmfs/sft.cern.ch/lcg/releases/Python/3.8.6-3199b/x86_64-centos7-gcc8-opt/lib/python3.8', '/cvmfs/sft.cern.ch/lcg/releases/Python/3.8.6-3199b/x86_64-centos7-gcc8-opt/lib/python3.8/lib-dynload', '/eos/home-a/antoniov/SWAN_projects/env/uproot/lib/python3.8/site-packages', '/cvmfs/sft.cern.ch/lcg/views/LCG_99/x86_64-centos7-gcc8-opt/lib/python3.8/site-packages/IPython/extensions', '/scratch/antoniov/.ipython']\n",
      "numpy: 1.18.2\n",
      "joblib: 0.14.0\n",
      "sklearn: 0.23.2\n"
     ]
    }
   ],
   "source": [
    "import sys\n",
    "#sys.path.insert(0,'/eos/home-a/antoniov/SWAN_projects/env/uproot4/lib/python3.7/site-packages')\n",
    "sys.path.insert(0,'/eos/home-a/antoniov/SWAN_projects/env/uproot/lib/python3.8/site-packages')\n",
    "print ( sys.path )\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import h5py\n",
    "import matplotlib.pyplot as plt\n",
    "#import mplhep\n",
    "from matplotlib.colors import LogNorm\n",
    "import joblib\n",
    "from joblib import dump, load\n",
    "\n",
    "print ( \"numpy: {}\".format(np.__version__) )\n",
    "print ( \"joblib: {}\".format(joblib.__version__) )\n",
    "\n",
    "import sklearn\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.ensemble import AdaBoostClassifier\n",
    "\n",
    "print ( \"sklearn: {}\".format(sklearn.__version__) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# get_data, process_data, fiducial_cuts, fiducial_cuts_all, aperture_parametrisation, check_aperture\n",
    "from processing import *\n",
    "\n",
    "#proton_selection = \"SingleRP\"\n",
    "proton_selection = \"MultiRP\"\n",
    "\n",
    "run_tables = False\n",
    "\n",
    "run_random_experiments = False\n",
    "\n",
    "train_model = True\n",
    "run_grid_search = True\n",
    "save_model = True\n",
    "\n",
    "model_path = \"\"\n",
    "if not train_model:\n",
    "    model_path = \"model/\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Signal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2021/04/15 18:35:50\n",
      "Total time elapsed: 0\n"
     ]
    }
   ],
   "source": [
    "label = \"Elastic\"\n",
    "\n",
    "fileNames_signal = [\n",
    "    'output/output-MC2017-Elastic-Non3+3-PreSel.h5',\n",
    "    #'output/output-MC2017-SingleDissociation-Non3+3-PreSel.h5'\n",
    "]\n",
    "\n",
    "import time\n",
    "print( time.strftime(\"%Y/%m/%d %H:%M:%S\", time.localtime() ) )\n",
    "time_s_ = time.time()\n",
    "\n",
    "df_counts_signal, df_signal = 2 * [None]\n",
    "\n",
    "if run_tables:\n",
    "    with pd.HDFStore( \"reduced-data-store-{}.h5\".format( label ), complevel=5 ) as store_:\n",
    "\n",
    "        df_counts_signal_, df_signal_ = get_data( fileNames_signal )\n",
    "        df_signal_ = process_data( df_signal_, proton_selection, min_mass = 110. )\n",
    "        \n",
    "        store_[ \"counts\" ] = df_counts_signal_\n",
    "        store_[ \"df\"] = df_signal_\n",
    "\n",
    "with pd.HDFStore( \"reduced-data-store-{}.h5\".format( label ), 'r' ) as store_:\n",
    "    df_counts_signal = store_[ \"counts\" ]\n",
    "    df_signal = store_[ \"df\"]\n",
    "        \n",
    "time_e_ = time.time()\n",
    "print ( \"Total time elapsed: {:.0f}\".format( time_e_ - time_s_ ) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "All        178402\n",
       "Muon       166756\n",
       "Vertex     149608\n",
       "Protons     91429\n",
       "dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_counts_signal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "      <th>XiMuMuPlus</th>\n",
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       "      <td>0.050104</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
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       "      <th>19</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
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       "      <td>176.417725</td>\n",
       "      <td>1</td>\n",
       "      <td>0.001032</td>\n",
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       "      <td>0.003999</td>\n",
       "      <td>0.046055</td>\n",
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       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
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       "    <tr>\n",
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       "      <td>1</td>\n",
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       "      <td>150.0</td>\n",
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       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
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       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
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       "      <td>4.698</td>\n",
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       "      <td>150.0</td>\n",
       "      <td>1</td>\n",
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       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>7.566895</td>\n",
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       "      <td>-10.098</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>57</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
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       "      <td>115.234695</td>\n",
       "      <td>0</td>\n",
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       "      <td>1</td>\n",
       "      <td>59</td>\n",
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       "      <td>150.0</td>\n",
       "      <td>1</td>\n",
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       "      <td>3</td>\n",
       "      <td>23</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0.037353</td>\n",
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       "      <td>0.037353</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
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       "      <td>1</td>\n",
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       "      <td>3</td>\n",
       "      <td>23</td>\n",
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       "      <td>0</td>\n",
       "      <td>0.000119</td>\n",
       "      <td>0.049660</td>\n",
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       "      <td>0.049660</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>3.730713</td>\n",
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       "      <td>1</td>\n",
       "      <td>0.000895</td>\n",
       "      <td>0.004390</td>\n",
       "      <td>0.058486</td>\n",
       "      <td>0.058486</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>2.902832</td>\n",
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       "      <td>142.652832</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000571</td>\n",
       "      <td>0.002782</td>\n",
       "      <td>0.043304</td>\n",
       "      <td>0.043304</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
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       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>69</td>\n",
       "      <td>0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>6.150391</td>\n",
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       "      <td>273.485382</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000020</td>\n",
       "      <td>0.058834</td>\n",
       "      <td>0.007530</td>\n",
       "      <td>0.058834</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
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       "      <th>67</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>89</td>\n",
       "      <td>0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>3.255371</td>\n",
       "      <td>...</td>\n",
       "      <td>238.457489</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000309</td>\n",
       "      <td>0.039993</td>\n",
       "      <td>0.008414</td>\n",
       "      <td>0.039993</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>4.007080</td>\n",
       "      <td>...</td>\n",
       "      <td>271.228790</td>\n",
       "      <td>4</td>\n",
       "      <td>0.000925</td>\n",
       "      <td>0.044714</td>\n",
       "      <td>0.009735</td>\n",
       "      <td>0.044714</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>77</td>\n",
       "      <td>0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>5.333740</td>\n",
       "      <td>...</td>\n",
       "      <td>194.870300</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000536</td>\n",
       "      <td>0.054491</td>\n",
       "      <td>0.004124</td>\n",
       "      <td>0.054491</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>95</td>\n",
       "      <td>0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>3.755615</td>\n",
       "      <td>...</td>\n",
       "      <td>130.388138</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000073</td>\n",
       "      <td>0.041446</td>\n",
       "      <td>0.002427</td>\n",
       "      <td>0.041446</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>96</td>\n",
       "      <td>0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>2.686279</td>\n",
       "      <td>...</td>\n",
       "      <td>176.836700</td>\n",
       "      <td>2</td>\n",
       "      <td>0.000388</td>\n",
       "      <td>0.005022</td>\n",
       "      <td>0.036844</td>\n",
       "      <td>0.036844</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>93</td>\n",
       "      <td>0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>3.956787</td>\n",
       "      <td>...</td>\n",
       "      <td>203.055450</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000038</td>\n",
       "      <td>0.045246</td>\n",
       "      <td>0.005393</td>\n",
       "      <td>0.045246</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>3.615234</td>\n",
       "      <td>...</td>\n",
       "      <td>222.089905</td>\n",
       "      <td>2</td>\n",
       "      <td>0.000578</td>\n",
       "      <td>0.040196</td>\n",
       "      <td>0.007262</td>\n",
       "      <td>0.040196</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>105</td>\n",
       "      <td>0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>2.885986</td>\n",
       "      <td>...</td>\n",
       "      <td>324.883179</td>\n",
       "      <td>0</td>\n",
       "      <td>0.001377</td>\n",
       "      <td>0.013370</td>\n",
       "      <td>0.046726</td>\n",
       "      <td>0.046726</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>118</td>\n",
       "      <td>0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>4.448975</td>\n",
       "      <td>...</td>\n",
       "      <td>244.141937</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000155</td>\n",
       "      <td>0.046223</td>\n",
       "      <td>0.007631</td>\n",
       "      <td>0.046223</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>102</td>\n",
       "      <td>0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>4.357178</td>\n",
       "      <td>...</td>\n",
       "      <td>146.380096</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000022</td>\n",
       "      <td>0.047222</td>\n",
       "      <td>0.002685</td>\n",
       "      <td>0.047222</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>115</td>\n",
       "      <td>0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>3.902588</td>\n",
       "      <td>...</td>\n",
       "      <td>486.115143</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000061</td>\n",
       "      <td>0.022766</td>\n",
       "      <td>0.061420</td>\n",
       "      <td>0.061420</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>122</td>\n",
       "      <td>0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>3.028320</td>\n",
       "      <td>...</td>\n",
       "      <td>215.264969</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000590</td>\n",
       "      <td>0.006252</td>\n",
       "      <td>0.043858</td>\n",
       "      <td>0.043858</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>117</td>\n",
       "      <td>0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>6.505859</td>\n",
       "      <td>...</td>\n",
       "      <td>253.407089</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000188</td>\n",
       "      <td>0.004094</td>\n",
       "      <td>0.092842</td>\n",
       "      <td>0.092842</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>101</td>\n",
       "      <td>0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>4.231445</td>\n",
       "      <td>...</td>\n",
       "      <td>252.259552</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000713</td>\n",
       "      <td>0.044112</td>\n",
       "      <td>0.008536</td>\n",
       "      <td>0.044112</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>120</td>\n",
       "      <td>0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>3.186523</td>\n",
       "      <td>...</td>\n",
       "      <td>177.375870</td>\n",
       "      <td>3</td>\n",
       "      <td>0.000890</td>\n",
       "      <td>0.002729</td>\n",
       "      <td>0.068220</td>\n",
       "      <td>0.068220</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213412</th>\n",
       "      <td>1</td>\n",
       "      <td>756</td>\n",
       "      <td>75502</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>6.073242</td>\n",
       "      <td>...</td>\n",
       "      <td>138.669159</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000510</td>\n",
       "      <td>0.055367</td>\n",
       "      <td>0.002055</td>\n",
       "      <td>0.055367</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213416</th>\n",
       "      <td>1</td>\n",
       "      <td>756</td>\n",
       "      <td>75507</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>4.365479</td>\n",
       "      <td>...</td>\n",
       "      <td>158.875687</td>\n",
       "      <td>0</td>\n",
       "      <td>0.001742</td>\n",
       "      <td>0.047537</td>\n",
       "      <td>0.003142</td>\n",
       "      <td>0.047537</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213419</th>\n",
       "      <td>1</td>\n",
       "      <td>756</td>\n",
       "      <td>75511</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>12.897461</td>\n",
       "      <td>...</td>\n",
       "      <td>160.170425</td>\n",
       "      <td>0</td>\n",
       "      <td>0.001064</td>\n",
       "      <td>0.092917</td>\n",
       "      <td>0.001634</td>\n",
       "      <td>0.092917</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213422</th>\n",
       "      <td>1</td>\n",
       "      <td>756</td>\n",
       "      <td>75515</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>4.833008</td>\n",
       "      <td>...</td>\n",
       "      <td>138.917892</td>\n",
       "      <td>3</td>\n",
       "      <td>0.001801</td>\n",
       "      <td>0.043404</td>\n",
       "      <td>0.002631</td>\n",
       "      <td>0.043404</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213431</th>\n",
       "      <td>1</td>\n",
       "      <td>756</td>\n",
       "      <td>75520</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>10.945312</td>\n",
       "      <td>...</td>\n",
       "      <td>523.476929</td>\n",
       "      <td>2</td>\n",
       "      <td>0.000060</td>\n",
       "      <td>0.099091</td>\n",
       "      <td>0.016364</td>\n",
       "      <td>0.099091</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213436</th>\n",
       "      <td>1</td>\n",
       "      <td>756</td>\n",
       "      <td>75521</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>2.935669</td>\n",
       "      <td>...</td>\n",
       "      <td>369.692169</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000464</td>\n",
       "      <td>0.018284</td>\n",
       "      <td>0.044230</td>\n",
       "      <td>0.044230</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213439</th>\n",
       "      <td>1</td>\n",
       "      <td>756</td>\n",
       "      <td>75525</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>6.441895</td>\n",
       "      <td>...</td>\n",
       "      <td>113.723618</td>\n",
       "      <td>0</td>\n",
       "      <td>0.001176</td>\n",
       "      <td>0.058424</td>\n",
       "      <td>0.001310</td>\n",
       "      <td>0.058424</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213444</th>\n",
       "      <td>1</td>\n",
       "      <td>756</td>\n",
       "      <td>75510</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>5.581787</td>\n",
       "      <td>...</td>\n",
       "      <td>119.356163</td>\n",
       "      <td>3</td>\n",
       "      <td>0.000352</td>\n",
       "      <td>0.055224</td>\n",
       "      <td>0.001526</td>\n",
       "      <td>0.055224</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213447</th>\n",
       "      <td>1</td>\n",
       "      <td>756</td>\n",
       "      <td>75530</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>4.373535</td>\n",
       "      <td>...</td>\n",
       "      <td>118.569435</td>\n",
       "      <td>41</td>\n",
       "      <td>0.000087</td>\n",
       "      <td>0.039925</td>\n",
       "      <td>0.002084</td>\n",
       "      <td>0.039925</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213451</th>\n",
       "      <td>1</td>\n",
       "      <td>756</td>\n",
       "      <td>75531</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>3.890747</td>\n",
       "      <td>...</td>\n",
       "      <td>114.216507</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000972</td>\n",
       "      <td>0.044418</td>\n",
       "      <td>0.001738</td>\n",
       "      <td>0.044418</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213454</th>\n",
       "      <td>1</td>\n",
       "      <td>756</td>\n",
       "      <td>75537</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>5.524658</td>\n",
       "      <td>...</td>\n",
       "      <td>266.838745</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000279</td>\n",
       "      <td>0.050488</td>\n",
       "      <td>0.008345</td>\n",
       "      <td>0.050488</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213460</th>\n",
       "      <td>1</td>\n",
       "      <td>756</td>\n",
       "      <td>75543</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>5.356689</td>\n",
       "      <td>...</td>\n",
       "      <td>154.593704</td>\n",
       "      <td>3</td>\n",
       "      <td>0.001248</td>\n",
       "      <td>0.002319</td>\n",
       "      <td>0.060985</td>\n",
       "      <td>0.060985</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213465</th>\n",
       "      <td>1</td>\n",
       "      <td>756</td>\n",
       "      <td>75546</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>5.182617</td>\n",
       "      <td>...</td>\n",
       "      <td>140.356049</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000803</td>\n",
       "      <td>0.049930</td>\n",
       "      <td>0.002337</td>\n",
       "      <td>0.049930</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213470</th>\n",
       "      <td>1</td>\n",
       "      <td>756</td>\n",
       "      <td>75552</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>4.965576</td>\n",
       "      <td>...</td>\n",
       "      <td>187.383926</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000482</td>\n",
       "      <td>0.049464</td>\n",
       "      <td>0.004201</td>\n",
       "      <td>0.049464</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213475</th>\n",
       "      <td>1</td>\n",
       "      <td>756</td>\n",
       "      <td>75558</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>4.551025</td>\n",
       "      <td>...</td>\n",
       "      <td>122.227142</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000061</td>\n",
       "      <td>0.001381</td>\n",
       "      <td>0.064032</td>\n",
       "      <td>0.064032</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213478</th>\n",
       "      <td>1</td>\n",
       "      <td>756</td>\n",
       "      <td>75557</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>7.943115</td>\n",
       "      <td>...</td>\n",
       "      <td>130.751343</td>\n",
       "      <td>0</td>\n",
       "      <td>0.002268</td>\n",
       "      <td>0.001542</td>\n",
       "      <td>0.065600</td>\n",
       "      <td>0.065600</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213481</th>\n",
       "      <td>1</td>\n",
       "      <td>756</td>\n",
       "      <td>75554</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>5.115479</td>\n",
       "      <td>...</td>\n",
       "      <td>211.977539</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000159</td>\n",
       "      <td>0.003855</td>\n",
       "      <td>0.069037</td>\n",
       "      <td>0.069037</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213484</th>\n",
       "      <td>1</td>\n",
       "      <td>756</td>\n",
       "      <td>75564</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>5.350098</td>\n",
       "      <td>...</td>\n",
       "      <td>195.093933</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000736</td>\n",
       "      <td>0.003748</td>\n",
       "      <td>0.060137</td>\n",
       "      <td>0.060137</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213487</th>\n",
       "      <td>1</td>\n",
       "      <td>756</td>\n",
       "      <td>75559</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>3.404175</td>\n",
       "      <td>...</td>\n",
       "      <td>152.529144</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000993</td>\n",
       "      <td>0.002563</td>\n",
       "      <td>0.053754</td>\n",
       "      <td>0.053754</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213496</th>\n",
       "      <td>1</td>\n",
       "      <td>756</td>\n",
       "      <td>75563</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>6.141846</td>\n",
       "      <td>...</td>\n",
       "      <td>529.187500</td>\n",
       "      <td>2</td>\n",
       "      <td>0.000915</td>\n",
       "      <td>0.054169</td>\n",
       "      <td>0.030593</td>\n",
       "      <td>0.054169</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213497</th>\n",
       "      <td>1</td>\n",
       "      <td>756</td>\n",
       "      <td>75563</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>2.818970</td>\n",
       "      <td>...</td>\n",
       "      <td>529.187500</td>\n",
       "      <td>2</td>\n",
       "      <td>0.000915</td>\n",
       "      <td>0.054169</td>\n",
       "      <td>0.030593</td>\n",
       "      <td>0.030593</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213502</th>\n",
       "      <td>1</td>\n",
       "      <td>756</td>\n",
       "      <td>75571</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>7.157471</td>\n",
       "      <td>...</td>\n",
       "      <td>764.066650</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000404</td>\n",
       "      <td>0.054224</td>\n",
       "      <td>0.063818</td>\n",
       "      <td>0.054224</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213503</th>\n",
       "      <td>1</td>\n",
       "      <td>756</td>\n",
       "      <td>75571</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>5.734375</td>\n",
       "      <td>...</td>\n",
       "      <td>764.066650</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000404</td>\n",
       "      <td>0.054224</td>\n",
       "      <td>0.063818</td>\n",
       "      <td>0.063818</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213506</th>\n",
       "      <td>1</td>\n",
       "      <td>756</td>\n",
       "      <td>75573</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>3.062500</td>\n",
       "      <td>...</td>\n",
       "      <td>110.177200</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000871</td>\n",
       "      <td>0.001568</td>\n",
       "      <td>0.045803</td>\n",
       "      <td>0.045803</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213513</th>\n",
       "      <td>1</td>\n",
       "      <td>756</td>\n",
       "      <td>75577</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>5.182129</td>\n",
       "      <td>...</td>\n",
       "      <td>335.728394</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000191</td>\n",
       "      <td>0.052367</td>\n",
       "      <td>0.012736</td>\n",
       "      <td>0.052367</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213516</th>\n",
       "      <td>1</td>\n",
       "      <td>756</td>\n",
       "      <td>75578</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>10.918457</td>\n",
       "      <td>...</td>\n",
       "      <td>327.553589</td>\n",
       "      <td>2</td>\n",
       "      <td>0.000192</td>\n",
       "      <td>0.095816</td>\n",
       "      <td>0.006631</td>\n",
       "      <td>0.095816</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213519</th>\n",
       "      <td>1</td>\n",
       "      <td>756</td>\n",
       "      <td>75586</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>6.934082</td>\n",
       "      <td>...</td>\n",
       "      <td>218.267822</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000312</td>\n",
       "      <td>0.062568</td>\n",
       "      <td>0.004509</td>\n",
       "      <td>0.062568</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213527</th>\n",
       "      <td>1</td>\n",
       "      <td>756</td>\n",
       "      <td>75597</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>3.053467</td>\n",
       "      <td>...</td>\n",
       "      <td>218.789124</td>\n",
       "      <td>3</td>\n",
       "      <td>0.000580</td>\n",
       "      <td>0.007713</td>\n",
       "      <td>0.036727</td>\n",
       "      <td>0.036727</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213530</th>\n",
       "      <td>1</td>\n",
       "      <td>756</td>\n",
       "      <td>75598</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>3.703735</td>\n",
       "      <td>...</td>\n",
       "      <td>301.041626</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000083</td>\n",
       "      <td>0.011024</td>\n",
       "      <td>0.048657</td>\n",
       "      <td>0.048657</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213533</th>\n",
       "      <td>1</td>\n",
       "      <td>756</td>\n",
       "      <td>75596</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>2.878784</td>\n",
       "      <td>...</td>\n",
       "      <td>127.194374</td>\n",
       "      <td>3</td>\n",
       "      <td>0.000267</td>\n",
       "      <td>0.002110</td>\n",
       "      <td>0.045377</td>\n",
       "      <td>0.045377</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>48051 rows × 47 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Run  LumiSection  EventNum  Slice  CrossingAngle  MultiRP  Arm  RPId1  \\\n",
       "3         1            1         3      0          150.0        1    1    103   \n",
       "6         1            1        12      0          150.0        1    0      3   \n",
       "16        1            1        17      0          150.0        1    1    103   \n",
       "19        1            1        30      0          150.0        1    0      3   \n",
       "24        1            1        13      0          150.0        1    1    103   \n",
       "27        1            1        31      0          150.0        1    1    103   \n",
       "30        1            1        37      0          150.0        1    0      3   \n",
       "42        1            1        52      0          150.0        1    0      3   \n",
       "43        1            1        52      0          150.0        1    1    103   \n",
       "46        1            1        57      0          150.0        1    1    103   \n",
       "49        1            1        59      0          150.0        1    0      3   \n",
       "52        1            1        60      0          150.0        1    0      3   \n",
       "57        1            1        67      0          150.0        1    1    103   \n",
       "60        1            1        71      0          150.0        1    1    103   \n",
       "63        1            1        69      0          150.0        1    0      3   \n",
       "67        1            1        89      0          150.0        1    0      3   \n",
       "70        1            1        80      0          150.0        1    0      3   \n",
       "74        1            1        77      0          150.0        1    0      3   \n",
       "78        1            1        95      0          150.0        1    0      3   \n",
       "81        1            1        96      0          150.0        1    1    103   \n",
       "84        1            1        93      0          150.0        1    0      3   \n",
       "89        1            1       100      0          150.0        1    0      3   \n",
       "92        1            2       105      0          150.0        1    1    103   \n",
       "97        1            2       118      0          150.0        1    0      3   \n",
       "100       1            2       102      0          150.0        1    0      3   \n",
       "106       1            2       115      0          150.0        1    1    103   \n",
       "111       1            2       122      0          150.0        1    1    103   \n",
       "114       1            2       117      0          150.0        1    1    103   \n",
       "117       1            2       101      0          150.0        1    0      3   \n",
       "122       1            2       120      0          150.0        1    1    103   \n",
       "...     ...          ...       ...    ...            ...      ...  ...    ...   \n",
       "213412    1          756     75502      0          130.0        1    0      3   \n",
       "213416    1          756     75507      0          130.0        1    0      3   \n",
       "213419    1          756     75511      0          130.0        1    0      3   \n",
       "213422    1          756     75515      0          130.0        1    0      3   \n",
       "213431    1          756     75520      0          130.0        1    0      3   \n",
       "213436    1          756     75521      0          130.0        1    1    103   \n",
       "213439    1          756     75525      0          130.0        1    0      3   \n",
       "213444    1          756     75510      0          130.0        1    0      3   \n",
       "213447    1          756     75530      0          130.0        1    0      3   \n",
       "213451    1          756     75531      0          130.0        1    0      3   \n",
       "213454    1          756     75537      0          130.0        1    0      3   \n",
       "213460    1          756     75543      0          130.0        1    1    103   \n",
       "213465    1          756     75546      0          130.0        1    0      3   \n",
       "213470    1          756     75552      0          130.0        1    0      3   \n",
       "213475    1          756     75558      0          130.0        1    1    103   \n",
       "213478    1          756     75557      0          130.0        1    1    103   \n",
       "213481    1          756     75554      0          130.0        1    1    103   \n",
       "213484    1          756     75564      0          130.0        1    1    103   \n",
       "213487    1          756     75559      0          130.0        1    1    103   \n",
       "213496    1          756     75563      0          130.0        1    0      3   \n",
       "213497    1          756     75563      0          130.0        1    1    103   \n",
       "213502    1          756     75571      0          130.0        1    0      3   \n",
       "213503    1          756     75571      0          130.0        1    1    103   \n",
       "213506    1          756     75573      0          130.0        1    1    103   \n",
       "213513    1          756     75577      0          130.0        1    0      3   \n",
       "213516    1          756     75578      0          130.0        1    0      3   \n",
       "213519    1          756     75586      0          130.0        1    0      3   \n",
       "213527    1          756     75597      0          130.0        1    1    103   \n",
       "213530    1          756     75598      0          130.0        1    1    103   \n",
       "213533    1          756     75596      0          130.0        1    1    103   \n",
       "\n",
       "        RPId2    TrackX1  ...      InvMass  ExtraPfCands     Acopl  \\\n",
       "3         123   7.630859  ...   251.395355            16  0.000880   \n",
       "6          23   5.149414  ...   126.690613             4  0.001160   \n",
       "16        123   3.828247  ...   263.130524             1  0.000028   \n",
       "19         23   5.139893  ...   176.417725             1  0.001032   \n",
       "24        123   2.742798  ...   233.975662            17  0.000317   \n",
       "27        123   5.258789  ...   266.681091             0  0.001807   \n",
       "30         23   4.975342  ...   176.964508             0  0.000757   \n",
       "42         23   7.566895  ...  1466.510620             2  0.000317   \n",
       "43        123  11.388184  ...  1466.510620             2  0.000317   \n",
       "46        123   3.813232  ...   115.234695             0  0.000651   \n",
       "49         23   3.748901  ...   183.164261             0  0.000106   \n",
       "52         23   4.649170  ...   246.067749             0  0.000119   \n",
       "57        123   3.730713  ...   208.225479             1  0.000895   \n",
       "60        123   2.902832  ...   142.652832             0  0.000571   \n",
       "63         23   6.150391  ...   273.485382             0  0.000020   \n",
       "67         23   3.255371  ...   238.457489             0  0.000309   \n",
       "70         23   4.007080  ...   271.228790             4  0.000925   \n",
       "74         23   5.333740  ...   194.870300             0  0.000536   \n",
       "78         23   3.755615  ...   130.388138             0  0.000073   \n",
       "81        123   2.686279  ...   176.836700             2  0.000388   \n",
       "84         23   3.956787  ...   203.055450             1  0.000038   \n",
       "89         23   3.615234  ...   222.089905             2  0.000578   \n",
       "92        123   2.885986  ...   324.883179             0  0.001377   \n",
       "97         23   4.448975  ...   244.141937             1  0.000155   \n",
       "100        23   4.357178  ...   146.380096             0  0.000022   \n",
       "106       123   3.902588  ...   486.115143             0  0.000061   \n",
       "111       123   3.028320  ...   215.264969             0  0.000590   \n",
       "114       123   6.505859  ...   253.407089             0  0.000188   \n",
       "117        23   4.231445  ...   252.259552             1  0.000713   \n",
       "122       123   3.186523  ...   177.375870             3  0.000890   \n",
       "...       ...        ...  ...          ...           ...       ...   \n",
       "213412     23   6.073242  ...   138.669159             1  0.000510   \n",
       "213416     23   4.365479  ...   158.875687             0  0.001742   \n",
       "213419     23  12.897461  ...   160.170425             0  0.001064   \n",
       "213422     23   4.833008  ...   138.917892             3  0.001801   \n",
       "213431     23  10.945312  ...   523.476929             2  0.000060   \n",
       "213436    123   2.935669  ...   369.692169             0  0.000464   \n",
       "213439     23   6.441895  ...   113.723618             0  0.001176   \n",
       "213444     23   5.581787  ...   119.356163             3  0.000352   \n",
       "213447     23   4.373535  ...   118.569435            41  0.000087   \n",
       "213451     23   3.890747  ...   114.216507             1  0.000972   \n",
       "213454     23   5.524658  ...   266.838745             1  0.000279   \n",
       "213460    123   5.356689  ...   154.593704             3  0.001248   \n",
       "213465     23   5.182617  ...   140.356049             1  0.000803   \n",
       "213470     23   4.965576  ...   187.383926             0  0.000482   \n",
       "213475    123   4.551025  ...   122.227142             0  0.000061   \n",
       "213478    123   7.943115  ...   130.751343             0  0.002268   \n",
       "213481    123   5.115479  ...   211.977539             0  0.000159   \n",
       "213484    123   5.350098  ...   195.093933             0  0.000736   \n",
       "213487    123   3.404175  ...   152.529144             0  0.000993   \n",
       "213496     23   6.141846  ...   529.187500             2  0.000915   \n",
       "213497    123   2.818970  ...   529.187500             2  0.000915   \n",
       "213502     23   7.157471  ...   764.066650             0  0.000404   \n",
       "213503    123   5.734375  ...   764.066650             0  0.000404   \n",
       "213506    123   3.062500  ...   110.177200             1  0.000871   \n",
       "213513     23   5.182129  ...   335.728394             0  0.000191   \n",
       "213516     23  10.918457  ...   327.553589             2  0.000192   \n",
       "213519     23   6.934082  ...   218.267822             0  0.000312   \n",
       "213527    123   3.053467  ...   218.789124             3  0.000580   \n",
       "213530    123   3.703735  ...   301.041626             0  0.000083   \n",
       "213533    123   2.878784  ...   127.194374             3  0.000267   \n",
       "\n",
       "        XiMuMuPlus  XiMuMuMinus    XiMuMu   xlow   xhigh    ylow  yhigh  \n",
       "3         0.004588     0.081510  0.081510  2.422  24.620  -9.698  4.698  \n",
       "6         0.055618     0.001708  0.055618  1.995  24.334 -10.098  4.298  \n",
       "16        0.008177     0.050104  0.050104  2.422  24.620  -9.698  4.698  \n",
       "19        0.046055     0.003999  0.046055  1.995  24.334 -10.098  4.298  \n",
       "24        0.007711     0.042010  0.042010  2.422  24.620  -9.698  4.698  \n",
       "27        0.006805     0.061971  0.061971  2.422  24.620  -9.698  4.698  \n",
       "30        0.054292     0.003414  0.054292  1.995  24.334 -10.098  4.298  \n",
       "42        0.072588     0.175365  0.072588  1.995  24.334 -10.098  4.298  \n",
       "43        0.072588     0.175365  0.175365  2.422  24.620  -9.698  4.698  \n",
       "46        0.001538     0.051120  0.051120  2.422  24.620  -9.698  4.698  \n",
       "49        0.037353     0.005316  0.037353  1.995  24.334 -10.098  4.298  \n",
       "52        0.049660     0.007217  0.049660  1.995  24.334 -10.098  4.298  \n",
       "57        0.004390     0.058486  0.058486  2.422  24.620  -9.698  4.698  \n",
       "60        0.002782     0.043304  0.043304  2.422  24.620  -9.698  4.698  \n",
       "63        0.058834     0.007530  0.058834  1.995  24.334 -10.098  4.298  \n",
       "67        0.039993     0.008414  0.039993  1.995  24.334 -10.098  4.298  \n",
       "70        0.044714     0.009735  0.044714  1.995  24.334 -10.098  4.298  \n",
       "74        0.054491     0.004124  0.054491  1.995  24.334 -10.098  4.298  \n",
       "78        0.041446     0.002427  0.041446  1.995  24.334 -10.098  4.298  \n",
       "81        0.005022     0.036844  0.036844  2.422  24.620  -9.698  4.698  \n",
       "84        0.045246     0.005393  0.045246  1.995  24.334 -10.098  4.298  \n",
       "89        0.040196     0.007262  0.040196  1.995  24.334 -10.098  4.298  \n",
       "92        0.013370     0.046726  0.046726  2.422  24.620  -9.698  4.698  \n",
       "97        0.046223     0.007631  0.046223  1.995  24.334 -10.098  4.298  \n",
       "100       0.047222     0.002685  0.047222  1.995  24.334 -10.098  4.298  \n",
       "106       0.022766     0.061420  0.061420  2.422  24.620  -9.698  4.698  \n",
       "111       0.006252     0.043858  0.043858  2.422  24.620  -9.698  4.698  \n",
       "114       0.004094     0.092842  0.092842  2.422  24.620  -9.698  4.698  \n",
       "117       0.044112     0.008536  0.044112  1.995  24.334 -10.098  4.298  \n",
       "122       0.002729     0.068220  0.068220  2.422  24.620  -9.698  4.698  \n",
       "...            ...          ...       ...    ...     ...     ...    ...  \n",
       "213412    0.055367     0.002055  0.055367  1.995  24.334 -10.098  4.298  \n",
       "213416    0.047537     0.003142  0.047537  1.995  24.334 -10.098  4.298  \n",
       "213419    0.092917     0.001634  0.092917  1.995  24.334 -10.098  4.298  \n",
       "213422    0.043404     0.002631  0.043404  1.995  24.334 -10.098  4.298  \n",
       "213431    0.099091     0.016364  0.099091  1.995  24.334 -10.098  4.298  \n",
       "213436    0.018284     0.044230  0.044230  2.422  24.620  -9.698  4.698  \n",
       "213439    0.058424     0.001310  0.058424  1.995  24.334 -10.098  4.298  \n",
       "213444    0.055224     0.001526  0.055224  1.995  24.334 -10.098  4.298  \n",
       "213447    0.039925     0.002084  0.039925  1.995  24.334 -10.098  4.298  \n",
       "213451    0.044418     0.001738  0.044418  1.995  24.334 -10.098  4.298  \n",
       "213454    0.050488     0.008345  0.050488  1.995  24.334 -10.098  4.298  \n",
       "213460    0.002319     0.060985  0.060985  2.422  24.620  -9.698  4.698  \n",
       "213465    0.049930     0.002337  0.049930  1.995  24.334 -10.098  4.298  \n",
       "213470    0.049464     0.004201  0.049464  1.995  24.334 -10.098  4.298  \n",
       "213475    0.001381     0.064032  0.064032  2.422  24.620  -9.698  4.698  \n",
       "213478    0.001542     0.065600  0.065600  2.422  24.620  -9.698  4.698  \n",
       "213481    0.003855     0.069037  0.069037  2.422  24.620  -9.698  4.698  \n",
       "213484    0.003748     0.060137  0.060137  2.422  24.620  -9.698  4.698  \n",
       "213487    0.002563     0.053754  0.053754  2.422  24.620  -9.698  4.698  \n",
       "213496    0.054169     0.030593  0.054169  1.995  24.334 -10.098  4.298  \n",
       "213497    0.054169     0.030593  0.030593  2.422  24.620  -9.698  4.698  \n",
       "213502    0.054224     0.063818  0.054224  1.995  24.334 -10.098  4.298  \n",
       "213503    0.054224     0.063818  0.063818  2.422  24.620  -9.698  4.698  \n",
       "213506    0.001568     0.045803  0.045803  2.422  24.620  -9.698  4.698  \n",
       "213513    0.052367     0.012736  0.052367  1.995  24.334 -10.098  4.298  \n",
       "213516    0.095816     0.006631  0.095816  1.995  24.334 -10.098  4.298  \n",
       "213519    0.062568     0.004509  0.062568  1.995  24.334 -10.098  4.298  \n",
       "213527    0.007713     0.036727  0.036727  2.422  24.620  -9.698  4.698  \n",
       "213530    0.011024     0.048657  0.048657  2.422  24.620  -9.698  4.698  \n",
       "213533    0.002110     0.045377  0.045377  2.422  24.620  -9.698  4.698  \n",
       "\n",
       "[48051 rows x 47 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_signal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'2017B': 2.360904801, '2017C1': 5.313012839, '2017E': 8.958810514, '2017F1': 1.708478656}\n",
      "Total luminosity = 18.34120681\n"
     ]
    }
   ],
   "source": [
    "L_B  = 2.360904801;\n",
    "L_C1 = 5.313012839;\n",
    "L_E  = 8.958810514;\n",
    "L_F1 = 1.708478656;\n",
    "lumi_periods = {}\n",
    "lumi_periods[ \"2017B\" ]  = L_B\n",
    "lumi_periods[ \"2017C1\" ] = L_C1\n",
    "lumi_periods[ \"2017E\" ]  = L_E\n",
    "lumi_periods[ \"2017F1\" ] = L_F1\n",
    "print ( lumi_periods )\n",
    "lumi_total = np.sum( list( lumi_periods.values() ) )\n",
    "print ( \"Total luminosity = {}\".format( lumi_total ) )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Random experiments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "if run_random_experiments:\n",
    "    from random_experiment import *\n",
    "    \n",
    "    np.random.seed( 42 )\n",
    "\n",
    "    # per period, arm\n",
    "    systematics = {}\n",
    "    #systematics[ \"Xi\" ] = ( systematics_Xi_X, systematics_Xi_Y )\n",
    "    #systematics[ \"Xi\" ] = get_systematics_vs_xi_ROOT( data_periods, fileName=\"reco_characteristics/reco_characteristics_version1.root\" )\n",
    "    systematics[ \"Xi\" ] = get_systematics_vs_xi_h5( data_periods, fileName=\"reco_characteristics/reco_characteristics_version1.h5\" )\n",
    "   \n",
    "    print ( systematics )\n",
    "    \n",
    "    random_experiment( df_signal, data_periods=data_periods, lumi_weights=lumi_periods, variables=[ \"Xi\" ], variations=systematics )\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "if run_random_experiments:\n",
    "    print ( df_signal[ [ \"Run\", \"LumiSection\", \"EventNum\", \"Arm\", \"Xi\", \"period_rnd\", \"sigma_Xi\", \"Xi_smeared\"] ] )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Background"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2021/04/15 18:36:21\n",
      "Total time elapsed: 1\n"
     ]
    }
   ],
   "source": [
    "resample_factor = 20\n",
    "label = \"data_random_resample_20\"\n",
    "\n",
    "fileNames_bkg = [\n",
    "    'output/output-UL2017B-PreSel-Rnd-Res20.h5',\n",
    "    'output/output-UL2017C1-PreSel-Rnd-Res20.h5',\n",
    "    'output/output-UL2017E-PreSel-Rnd-Res20_0.h5',\n",
    "    'output/output-UL2017E-PreSel-Rnd-Res20_1.h5',\n",
    "    'output/output-UL2017F1-PreSel-Rnd-Res20.h5'\n",
    "]\n",
    "\n",
    "import time\n",
    "print( time.strftime(\"%Y/%m/%d %H:%M:%S\", time.localtime() ) )\n",
    "time_s_ = time.time()\n",
    "\n",
    "df_counts_bkg, df_bkg = 2 * [None]\n",
    "\n",
    "if run_tables:\n",
    "    with pd.HDFStore( \"reduced-data-store-{}.h5\".format( label ), complevel=5 ) as store_:\n",
    "\n",
    "        df_counts_bkg_list_ = []\n",
    "        df_bkg_list_ = []\n",
    "        for file_ in fileNames_bkg:\n",
    "            df_counts_bkg_, df_bkg_ = get_data( [ file_ ] )\n",
    "            df_bkg_ = process_data( df_bkg_, proton_selection, min_mass = 110., within_aperture=True )\n",
    "            df_counts_bkg_list_.append( df_counts_bkg_ )\n",
    "            df_bkg_list_.append( df_bkg_ )\n",
    "\n",
    "        df_counts_bkg_ = df_counts_bkg_list_[0]\n",
    "        for idx_ in range( 1, len( df_counts_bkg_list_ ) ):\n",
    "            df_counts_bkg_ = df_counts_bkg_.add( df_counts_bkg_list_[idx_] )\n",
    "\n",
    "        df_bkg_ = pd.concat( df_bkg_list_ )\n",
    "        \n",
    "        store_[ \"counts\" ] = df_counts_bkg_\n",
    "        store_[ \"df\" ] = df_bkg_\n",
    "\n",
    "with pd.HDFStore( \"reduced-data-store-{}.h5\".format( label ), 'r' ) as store_:\n",
    "    df_counts_bkg = store_[ \"counts\" ]\n",
    "    df_bkg = store_[ \"df\" ]\n",
    "        \n",
    "time_e_ = time.time()\n",
    "print ( \"Total time elapsed: {:.0f}\".format( time_e_ - time_s_ ) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "All           869119560\n",
       "Muon            8456020\n",
       "Vertex          7782360\n",
       "ProtonsRnd      6301680\n",
       "dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_counts_bkg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th>LumiSection</th>\n",
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       "      <th>20</th>\n",
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       "      <td>2017B</td>\n",
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       "      <td>6.782959</td>\n",
       "      <td>...</td>\n",
       "      <td>0.157789</td>\n",
       "      <td>0.035037</td>\n",
       "      <td>0.018197</td>\n",
       "      <td>0.035037</td>\n",
       "      <td>2017B</td>\n",
       "      <td>True</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
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       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>297227</td>\n",
       "      <td>63</td>\n",
       "      <td>44189296</td>\n",
       "      <td>0</td>\n",
       "      <td>120.0</td>\n",
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       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>13.382812</td>\n",
       "      <td>...</td>\n",
       "      <td>0.008506</td>\n",
       "      <td>0.033806</td>\n",
       "      <td>0.010684</td>\n",
       "      <td>0.033806</td>\n",
       "      <td>2017B</td>\n",
       "      <td>True</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
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       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>297227</td>\n",
       "      <td>73</td>\n",
       "      <td>52238048</td>\n",
       "      <td>0</td>\n",
       "      <td>120.0</td>\n",
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       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>8.629883</td>\n",
       "      <td>...</td>\n",
       "      <td>0.060892</td>\n",
       "      <td>0.014483</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>2017B</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
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       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>297227</td>\n",
       "      <td>75</td>\n",
       "      <td>53449356</td>\n",
       "      <td>0</td>\n",
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       "      <td>123</td>\n",
       "      <td>5.546875</td>\n",
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       "      <td>0.023202</td>\n",
       "      <td>0.019344</td>\n",
       "      <td>0.007848</td>\n",
       "      <td>0.007848</td>\n",
       "      <td>2017B</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>297227</td>\n",
       "      <td>76</td>\n",
       "      <td>54126336</td>\n",
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       "      <td>23</td>\n",
       "      <td>8.200684</td>\n",
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       "      <td>0.145185</td>\n",
       "      <td>0.049092</td>\n",
       "      <td>0.006129</td>\n",
       "      <td>0.049092</td>\n",
       "      <td>2017B</td>\n",
       "      <td>True</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>297227</td>\n",
       "      <td>78</td>\n",
       "      <td>55898044</td>\n",
       "      <td>0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>3.611084</td>\n",
       "      <td>...</td>\n",
       "      <td>0.273834</td>\n",
       "      <td>0.032531</td>\n",
       "      <td>0.003312</td>\n",
       "      <td>0.003312</td>\n",
       "      <td>2017B</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>297227</td>\n",
       "      <td>79</td>\n",
       "      <td>56863080</td>\n",
       "      <td>0</td>\n",
       "      <td>120.0</td>\n",
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       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>3.396606</td>\n",
       "      <td>...</td>\n",
       "      <td>0.026694</td>\n",
       "      <td>0.001631</td>\n",
       "      <td>0.059633</td>\n",
       "      <td>0.059633</td>\n",
       "      <td>2017B</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>297227</td>\n",
       "      <td>86</td>\n",
       "      <td>61943160</td>\n",
       "      <td>0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>7.637451</td>\n",
       "      <td>...</td>\n",
       "      <td>0.095938</td>\n",
       "      <td>0.016999</td>\n",
       "      <td>0.009692</td>\n",
       "      <td>0.016999</td>\n",
       "      <td>2017B</td>\n",
       "      <td>True</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>297227</td>\n",
       "      <td>90</td>\n",
       "      <td>65467680</td>\n",
       "      <td>0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>4.550049</td>\n",
       "      <td>...</td>\n",
       "      <td>0.122833</td>\n",
       "      <td>0.001826</td>\n",
       "      <td>0.078518</td>\n",
       "      <td>0.001826</td>\n",
       "      <td>2017B</td>\n",
       "      <td>True</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>297227</td>\n",
       "      <td>90</td>\n",
       "      <td>65467680</td>\n",
       "      <td>0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>7.743896</td>\n",
       "      <td>...</td>\n",
       "      <td>0.122833</td>\n",
       "      <td>0.001826</td>\n",
       "      <td>0.078518</td>\n",
       "      <td>0.078518</td>\n",
       "      <td>2017B</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>297227</td>\n",
       "      <td>92</td>\n",
       "      <td>67155624</td>\n",
       "      <td>0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>7.568359</td>\n",
       "      <td>...</td>\n",
       "      <td>0.059819</td>\n",
       "      <td>0.003387</td>\n",
       "      <td>0.031080</td>\n",
       "      <td>0.003387</td>\n",
       "      <td>2017B</td>\n",
       "      <td>True</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>297227</td>\n",
       "      <td>92</td>\n",
       "      <td>66617716</td>\n",
       "      <td>0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>6.093262</td>\n",
       "      <td>...</td>\n",
       "      <td>0.138546</td>\n",
       "      <td>0.007029</td>\n",
       "      <td>0.020797</td>\n",
       "      <td>0.020797</td>\n",
       "      <td>2017B</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>297227</td>\n",
       "      <td>94</td>\n",
       "      <td>68532032</td>\n",
       "      <td>0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>9.797363</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003693</td>\n",
       "      <td>0.018082</td>\n",
       "      <td>0.015884</td>\n",
       "      <td>0.018082</td>\n",
       "      <td>2017B</td>\n",
       "      <td>True</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>297227</td>\n",
       "      <td>94</td>\n",
       "      <td>68532032</td>\n",
       "      <td>0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>9.110840</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003693</td>\n",
       "      <td>0.018082</td>\n",
       "      <td>0.015884</td>\n",
       "      <td>0.015884</td>\n",
       "      <td>2017B</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>297227</td>\n",
       "      <td>94</td>\n",
       "      <td>68360752</td>\n",
       "      <td>0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>3.855957</td>\n",
       "      <td>...</td>\n",
       "      <td>0.410358</td>\n",
       "      <td>0.090327</td>\n",
       "      <td>0.001269</td>\n",
       "      <td>0.001269</td>\n",
       "      <td>2017B</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>297227</td>\n",
       "      <td>96</td>\n",
       "      <td>70285688</td>\n",
       "      <td>0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>2.719238</td>\n",
       "      <td>...</td>\n",
       "      <td>0.516247</td>\n",
       "      <td>0.051813</td>\n",
       "      <td>0.003133</td>\n",
       "      <td>0.003133</td>\n",
       "      <td>2017B</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>297227</td>\n",
       "      <td>98</td>\n",
       "      <td>71755640</td>\n",
       "      <td>0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>8.505859</td>\n",
       "      <td>...</td>\n",
       "      <td>0.043575</td>\n",
       "      <td>0.001635</td>\n",
       "      <td>0.044986</td>\n",
       "      <td>0.001635</td>\n",
       "      <td>2017B</td>\n",
       "      <td>True</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>297227</td>\n",
       "      <td>100</td>\n",
       "      <td>73444736</td>\n",
       "      <td>0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>8.751953</td>\n",
       "      <td>...</td>\n",
       "      <td>0.056547</td>\n",
       "      <td>0.013676</td>\n",
       "      <td>0.005792</td>\n",
       "      <td>0.005792</td>\n",
       "      <td>2017B</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>297227</td>\n",
       "      <td>104</td>\n",
       "      <td>76531576</td>\n",
       "      <td>0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>11.446289</td>\n",
       "      <td>...</td>\n",
       "      <td>0.488525</td>\n",
       "      <td>0.039581</td>\n",
       "      <td>0.003762</td>\n",
       "      <td>0.003762</td>\n",
       "      <td>2017B</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>297227</td>\n",
       "      <td>110</td>\n",
       "      <td>81015088</td>\n",
       "      <td>0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>7.502686</td>\n",
       "      <td>...</td>\n",
       "      <td>0.446716</td>\n",
       "      <td>0.010912</td>\n",
       "      <td>0.011531</td>\n",
       "      <td>0.011531</td>\n",
       "      <td>2017B</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>297227</td>\n",
       "      <td>114</td>\n",
       "      <td>84363320</td>\n",
       "      <td>0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>4.247559</td>\n",
       "      <td>...</td>\n",
       "      <td>0.012675</td>\n",
       "      <td>0.017338</td>\n",
       "      <td>0.055097</td>\n",
       "      <td>0.055097</td>\n",
       "      <td>2017B</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>297219</td>\n",
       "      <td>673</td>\n",
       "      <td>1248461952</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>8.751953</td>\n",
       "      <td>...</td>\n",
       "      <td>0.375142</td>\n",
       "      <td>0.011854</td>\n",
       "      <td>0.013446</td>\n",
       "      <td>0.013446</td>\n",
       "      <td>2017B</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>307</th>\n",
       "      <td>297219</td>\n",
       "      <td>673</td>\n",
       "      <td>1247752448</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>8.282715</td>\n",
       "      <td>...</td>\n",
       "      <td>0.111053</td>\n",
       "      <td>0.012471</td>\n",
       "      <td>0.009107</td>\n",
       "      <td>0.009107</td>\n",
       "      <td>2017B</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>297219</td>\n",
       "      <td>673</td>\n",
       "      <td>1247995264</td>\n",
       "      <td>0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>6.782959</td>\n",
       "      <td>...</td>\n",
       "      <td>0.014958</td>\n",
       "      <td>0.001424</td>\n",
       "      <td>0.057475</td>\n",
       "      <td>0.001424</td>\n",
       "      <td>2017B</td>\n",
       "      <td>True</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>297292</td>\n",
       "      <td>74</td>\n",
       "      <td>138836176</td>\n",
       "      <td>0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>7.469482</td>\n",
       "      <td>...</td>\n",
       "      <td>0.090832</td>\n",
       "      <td>0.019722</td>\n",
       "      <td>0.010234</td>\n",
       "      <td>0.019722</td>\n",
       "      <td>2017B</td>\n",
       "      <td>True</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>297292</td>\n",
       "      <td>77</td>\n",
       "      <td>143719104</td>\n",
       "      <td>0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>5.734863</td>\n",
       "      <td>...</td>\n",
       "      <td>0.009722</td>\n",
       "      <td>0.025261</td>\n",
       "      <td>0.005445</td>\n",
       "      <td>0.005445</td>\n",
       "      <td>2017B</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>374</th>\n",
       "      <td>297292</td>\n",
       "      <td>78</td>\n",
       "      <td>146420704</td>\n",
       "      <td>0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>4.559082</td>\n",
       "      <td>...</td>\n",
       "      <td>0.078056</td>\n",
       "      <td>0.002510</td>\n",
       "      <td>0.052399</td>\n",
       "      <td>0.002510</td>\n",
       "      <td>2017B</td>\n",
       "      <td>True</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>297292</td>\n",
       "      <td>78</td>\n",
       "      <td>146420704</td>\n",
       "      <td>0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>13.271973</td>\n",
       "      <td>...</td>\n",
       "      <td>0.078056</td>\n",
       "      <td>0.002510</td>\n",
       "      <td>0.052399</td>\n",
       "      <td>0.052399</td>\n",
       "      <td>2017B</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3465</th>\n",
       "      <td>305114</td>\n",
       "      <td>425</td>\n",
       "      <td>451327264</td>\n",
       "      <td>18</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>11.109375</td>\n",
       "      <td>...</td>\n",
       "      <td>0.013149</td>\n",
       "      <td>0.021957</td>\n",
       "      <td>0.003300</td>\n",
       "      <td>0.003300</td>\n",
       "      <td>2017F1</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3471</th>\n",
       "      <td>305114</td>\n",
       "      <td>426</td>\n",
       "      <td>451947328</td>\n",
       "      <td>18</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>4.372070</td>\n",
       "      <td>...</td>\n",
       "      <td>0.197084</td>\n",
       "      <td>0.003975</td>\n",
       "      <td>0.023258</td>\n",
       "      <td>0.003975</td>\n",
       "      <td>2017F1</td>\n",
       "      <td>True</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3479</th>\n",
       "      <td>305114</td>\n",
       "      <td>426</td>\n",
       "      <td>451594752</td>\n",
       "      <td>18</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>6.944824</td>\n",
       "      <td>...</td>\n",
       "      <td>0.008790</td>\n",
       "      <td>0.001865</td>\n",
       "      <td>0.043933</td>\n",
       "      <td>0.043933</td>\n",
       "      <td>2017F1</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3491</th>\n",
       "      <td>305114</td>\n",
       "      <td>428</td>\n",
       "      <td>454296352</td>\n",
       "      <td>18</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>10.345215</td>\n",
       "      <td>...</td>\n",
       "      <td>0.021819</td>\n",
       "      <td>0.030502</td>\n",
       "      <td>0.008749</td>\n",
       "      <td>0.030502</td>\n",
       "      <td>2017F1</td>\n",
       "      <td>True</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3492</th>\n",
       "      <td>305114</td>\n",
       "      <td>428</td>\n",
       "      <td>454296352</td>\n",
       "      <td>18</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>8.247070</td>\n",
       "      <td>...</td>\n",
       "      <td>0.021819</td>\n",
       "      <td>0.030502</td>\n",
       "      <td>0.008749</td>\n",
       "      <td>0.008749</td>\n",
       "      <td>2017F1</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3499</th>\n",
       "      <td>305114</td>\n",
       "      <td>429</td>\n",
       "      <td>454470656</td>\n",
       "      <td>18</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>4.372070</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000769</td>\n",
       "      <td>0.003258</td>\n",
       "      <td>0.022522</td>\n",
       "      <td>0.003258</td>\n",
       "      <td>2017F1</td>\n",
       "      <td>True</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3525</th>\n",
       "      <td>305114</td>\n",
       "      <td>350</td>\n",
       "      <td>379247808</td>\n",
       "      <td>19</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>4.854492</td>\n",
       "      <td>...</td>\n",
       "      <td>0.022361</td>\n",
       "      <td>0.003570</td>\n",
       "      <td>0.024150</td>\n",
       "      <td>0.003570</td>\n",
       "      <td>2017F1</td>\n",
       "      <td>True</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3570</th>\n",
       "      <td>305114</td>\n",
       "      <td>356</td>\n",
       "      <td>385104416</td>\n",
       "      <td>19</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>5.232178</td>\n",
       "      <td>...</td>\n",
       "      <td>0.074001</td>\n",
       "      <td>0.012326</td>\n",
       "      <td>0.006220</td>\n",
       "      <td>0.012326</td>\n",
       "      <td>2017F1</td>\n",
       "      <td>True</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3582</th>\n",
       "      <td>305114</td>\n",
       "      <td>357</td>\n",
       "      <td>386194080</td>\n",
       "      <td>19</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>4.138184</td>\n",
       "      <td>...</td>\n",
       "      <td>0.482201</td>\n",
       "      <td>0.016894</td>\n",
       "      <td>0.010380</td>\n",
       "      <td>0.010380</td>\n",
       "      <td>2017F1</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3590</th>\n",
       "      <td>305114</td>\n",
       "      <td>358</td>\n",
       "      <td>386979360</td>\n",
       "      <td>19</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>10.345215</td>\n",
       "      <td>...</td>\n",
       "      <td>0.022978</td>\n",
       "      <td>0.008067</td>\n",
       "      <td>0.011728</td>\n",
       "      <td>0.008067</td>\n",
       "      <td>2017F1</td>\n",
       "      <td>True</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3591</th>\n",
       "      <td>305114</td>\n",
       "      <td>358</td>\n",
       "      <td>386979360</td>\n",
       "      <td>19</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>8.247070</td>\n",
       "      <td>...</td>\n",
       "      <td>0.022978</td>\n",
       "      <td>0.008067</td>\n",
       "      <td>0.011728</td>\n",
       "      <td>0.011728</td>\n",
       "      <td>2017F1</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3597</th>\n",
       "      <td>305114</td>\n",
       "      <td>358</td>\n",
       "      <td>387163936</td>\n",
       "      <td>19</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>4.268066</td>\n",
       "      <td>...</td>\n",
       "      <td>0.126732</td>\n",
       "      <td>0.030315</td>\n",
       "      <td>0.002959</td>\n",
       "      <td>0.030315</td>\n",
       "      <td>2017F1</td>\n",
       "      <td>True</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3598</th>\n",
       "      <td>305114</td>\n",
       "      <td>358</td>\n",
       "      <td>387163936</td>\n",
       "      <td>19</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>5.343750</td>\n",
       "      <td>...</td>\n",
       "      <td>0.126732</td>\n",
       "      <td>0.030315</td>\n",
       "      <td>0.002959</td>\n",
       "      <td>0.002959</td>\n",
       "      <td>2017F1</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3607</th>\n",
       "      <td>305114</td>\n",
       "      <td>409</td>\n",
       "      <td>435866368</td>\n",
       "      <td>19</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>5.468018</td>\n",
       "      <td>...</td>\n",
       "      <td>0.022416</td>\n",
       "      <td>0.005273</td>\n",
       "      <td>0.021103</td>\n",
       "      <td>0.021103</td>\n",
       "      <td>2017F1</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3626</th>\n",
       "      <td>305114</td>\n",
       "      <td>412</td>\n",
       "      <td>438461856</td>\n",
       "      <td>19</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>10.135742</td>\n",
       "      <td>...</td>\n",
       "      <td>0.012976</td>\n",
       "      <td>0.013034</td>\n",
       "      <td>0.045868</td>\n",
       "      <td>0.045868</td>\n",
       "      <td>2017F1</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3635</th>\n",
       "      <td>305114</td>\n",
       "      <td>413</td>\n",
       "      <td>439642720</td>\n",
       "      <td>19</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>6.545898</td>\n",
       "      <td>...</td>\n",
       "      <td>0.430321</td>\n",
       "      <td>0.007037</td>\n",
       "      <td>0.046844</td>\n",
       "      <td>0.046844</td>\n",
       "      <td>2017F1</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3653</th>\n",
       "      <td>305114</td>\n",
       "      <td>415</td>\n",
       "      <td>441889312</td>\n",
       "      <td>19</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>10.135742</td>\n",
       "      <td>...</td>\n",
       "      <td>0.413441</td>\n",
       "      <td>0.003393</td>\n",
       "      <td>0.045371</td>\n",
       "      <td>0.045371</td>\n",
       "      <td>2017F1</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3657</th>\n",
       "      <td>305114</td>\n",
       "      <td>415</td>\n",
       "      <td>441695808</td>\n",
       "      <td>19</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>15.416504</td>\n",
       "      <td>...</td>\n",
       "      <td>0.023035</td>\n",
       "      <td>0.037473</td>\n",
       "      <td>0.004266</td>\n",
       "      <td>0.037473</td>\n",
       "      <td>2017F1</td>\n",
       "      <td>True</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3681</th>\n",
       "      <td>305114</td>\n",
       "      <td>417</td>\n",
       "      <td>443000832</td>\n",
       "      <td>19</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>3.748047</td>\n",
       "      <td>...</td>\n",
       "      <td>0.009937</td>\n",
       "      <td>0.001599</td>\n",
       "      <td>0.048404</td>\n",
       "      <td>0.001599</td>\n",
       "      <td>2017F1</td>\n",
       "      <td>True</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3682</th>\n",
       "      <td>305114</td>\n",
       "      <td>417</td>\n",
       "      <td>443000832</td>\n",
       "      <td>19</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>11.109375</td>\n",
       "      <td>...</td>\n",
       "      <td>0.009937</td>\n",
       "      <td>0.001599</td>\n",
       "      <td>0.048404</td>\n",
       "      <td>0.048404</td>\n",
       "      <td>2017F1</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3685</th>\n",
       "      <td>305114</td>\n",
       "      <td>417</td>\n",
       "      <td>443558688</td>\n",
       "      <td>19</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>5.891602</td>\n",
       "      <td>...</td>\n",
       "      <td>0.063336</td>\n",
       "      <td>0.020505</td>\n",
       "      <td>0.008685</td>\n",
       "      <td>0.008685</td>\n",
       "      <td>2017F1</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3694</th>\n",
       "      <td>305114</td>\n",
       "      <td>420</td>\n",
       "      <td>445919776</td>\n",
       "      <td>19</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>3.275879</td>\n",
       "      <td>...</td>\n",
       "      <td>0.054261</td>\n",
       "      <td>0.005487</td>\n",
       "      <td>0.043399</td>\n",
       "      <td>0.043399</td>\n",
       "      <td>2017F1</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3705</th>\n",
       "      <td>305114</td>\n",
       "      <td>421</td>\n",
       "      <td>447324288</td>\n",
       "      <td>19</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>10.752441</td>\n",
       "      <td>...</td>\n",
       "      <td>0.021345</td>\n",
       "      <td>0.024070</td>\n",
       "      <td>0.005331</td>\n",
       "      <td>0.024070</td>\n",
       "      <td>2017F1</td>\n",
       "      <td>True</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3706</th>\n",
       "      <td>305114</td>\n",
       "      <td>421</td>\n",
       "      <td>447324288</td>\n",
       "      <td>19</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>6.430176</td>\n",
       "      <td>...</td>\n",
       "      <td>0.021345</td>\n",
       "      <td>0.024070</td>\n",
       "      <td>0.005331</td>\n",
       "      <td>0.005331</td>\n",
       "      <td>2017F1</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3715</th>\n",
       "      <td>305114</td>\n",
       "      <td>422</td>\n",
       "      <td>447935104</td>\n",
       "      <td>19</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>7.825928</td>\n",
       "      <td>...</td>\n",
       "      <td>0.845948</td>\n",
       "      <td>0.048832</td>\n",
       "      <td>0.010439</td>\n",
       "      <td>0.048832</td>\n",
       "      <td>2017F1</td>\n",
       "      <td>True</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3740</th>\n",
       "      <td>305114</td>\n",
       "      <td>423</td>\n",
       "      <td>449318080</td>\n",
       "      <td>19</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>8.744141</td>\n",
       "      <td>...</td>\n",
       "      <td>0.012143</td>\n",
       "      <td>0.014632</td>\n",
       "      <td>0.010070</td>\n",
       "      <td>0.014632</td>\n",
       "      <td>2017F1</td>\n",
       "      <td>True</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3741</th>\n",
       "      <td>305114</td>\n",
       "      <td>423</td>\n",
       "      <td>449318080</td>\n",
       "      <td>19</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>3.915405</td>\n",
       "      <td>...</td>\n",
       "      <td>0.012143</td>\n",
       "      <td>0.014632</td>\n",
       "      <td>0.010070</td>\n",
       "      <td>0.010070</td>\n",
       "      <td>2017F1</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3756</th>\n",
       "      <td>305114</td>\n",
       "      <td>425</td>\n",
       "      <td>451327264</td>\n",
       "      <td>19</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>9.125000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.013149</td>\n",
       "      <td>0.021957</td>\n",
       "      <td>0.003300</td>\n",
       "      <td>0.021957</td>\n",
       "      <td>2017F1</td>\n",
       "      <td>True</td>\n",
       "      <td>1.995</td>\n",
       "      <td>24.334</td>\n",
       "      <td>-10.098</td>\n",
       "      <td>4.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3757</th>\n",
       "      <td>305114</td>\n",
       "      <td>425</td>\n",
       "      <td>451327264</td>\n",
       "      <td>19</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>9.477539</td>\n",
       "      <td>...</td>\n",
       "      <td>0.013149</td>\n",
       "      <td>0.021957</td>\n",
       "      <td>0.003300</td>\n",
       "      <td>0.003300</td>\n",
       "      <td>2017F1</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3787</th>\n",
       "      <td>305114</td>\n",
       "      <td>429</td>\n",
       "      <td>454470656</td>\n",
       "      <td>19</td>\n",
       "      <td>120.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>123</td>\n",
       "      <td>11.654297</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000769</td>\n",
       "      <td>0.003258</td>\n",
       "      <td>0.022522</td>\n",
       "      <td>0.022522</td>\n",
       "      <td>2017F1</td>\n",
       "      <td>True</td>\n",
       "      <td>2.422</td>\n",
       "      <td>24.620</td>\n",
       "      <td>-9.698</td>\n",
       "      <td>4.698</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1212994 rows × 49 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Run  LumiSection    EventNum  Slice  CrossingAngle  MultiRP  Arm  \\\n",
       "10    297227           56    38791640      0          120.0        1    0   \n",
       "20    297227           58    40362008      0          120.0        1    0   \n",
       "33    297227           60    41478176      0          120.0        1    0   \n",
       "47    297227           63    44189296      0          120.0        1    0   \n",
       "69    297227           73    52238048      0          120.0        1    1   \n",
       "84    297227           75    53449356      0          120.0        1    1   \n",
       "93    297227           76    54126336      0          120.0        1    0   \n",
       "111   297227           78    55898044      0          120.0        1    1   \n",
       "118   297227           79    56863080      0          120.0        1    1   \n",
       "138   297227           86    61943160      0          120.0        1    0   \n",
       "164   297227           90    65467680      0          120.0        1    0   \n",
       "165   297227           90    65467680      0          120.0        1    1   \n",
       "178   297227           92    67155624      0          120.0        1    0   \n",
       "183   297227           92    66617716      0          120.0        1    1   \n",
       "190   297227           94    68532032      0          120.0        1    0   \n",
       "191   297227           94    68532032      0          120.0        1    1   \n",
       "194   297227           94    68360752      0          120.0        1    1   \n",
       "199   297227           96    70285688      0          120.0        1    1   \n",
       "205   297227           98    71755640      0          120.0        1    0   \n",
       "218   297227          100    73444736      0          120.0        1    1   \n",
       "235   297227          104    76531576      0          120.0        1    1   \n",
       "268   297227          110    81015088      0          120.0        1    1   \n",
       "286   297227          114    84363320      0          120.0        1    1   \n",
       "300   297219          673  1248461952      0          130.0        1    1   \n",
       "307   297219          673  1247752448      0          130.0        1    1   \n",
       "310   297219          673  1247995264      0          130.0        1    0   \n",
       "325   297292           74   138836176      0          150.0        1    0   \n",
       "358   297292           77   143719104      0          150.0        1    1   \n",
       "374   297292           78   146420704      0          150.0        1    0   \n",
       "375   297292           78   146420704      0          150.0        1    1   \n",
       "...      ...          ...         ...    ...            ...      ...  ...   \n",
       "3465  305114          425   451327264     18          120.0        1    1   \n",
       "3471  305114          426   451947328     18          120.0        1    0   \n",
       "3479  305114          426   451594752     18          120.0        1    1   \n",
       "3491  305114          428   454296352     18          120.0        1    0   \n",
       "3492  305114          428   454296352     18          120.0        1    1   \n",
       "3499  305114          429   454470656     18          120.0        1    0   \n",
       "3525  305114          350   379247808     19          120.0        1    0   \n",
       "3570  305114          356   385104416     19          120.0        1    0   \n",
       "3582  305114          357   386194080     19          120.0        1    1   \n",
       "3590  305114          358   386979360     19          120.0        1    0   \n",
       "3591  305114          358   386979360     19          120.0        1    1   \n",
       "3597  305114          358   387163936     19          120.0        1    0   \n",
       "3598  305114          358   387163936     19          120.0        1    1   \n",
       "3607  305114          409   435866368     19          120.0        1    1   \n",
       "3626  305114          412   438461856     19          120.0        1    1   \n",
       "3635  305114          413   439642720     19          120.0        1    1   \n",
       "3653  305114          415   441889312     19          120.0        1    1   \n",
       "3657  305114          415   441695808     19          120.0        1    0   \n",
       "3681  305114          417   443000832     19          120.0        1    0   \n",
       "3682  305114          417   443000832     19          120.0        1    1   \n",
       "3685  305114          417   443558688     19          120.0        1    1   \n",
       "3694  305114          420   445919776     19          120.0        1    1   \n",
       "3705  305114          421   447324288     19          120.0        1    0   \n",
       "3706  305114          421   447324288     19          120.0        1    1   \n",
       "3715  305114          422   447935104     19          120.0        1    0   \n",
       "3740  305114          423   449318080     19          120.0        1    0   \n",
       "3741  305114          423   449318080     19          120.0        1    1   \n",
       "3756  305114          425   451327264     19          120.0        1    0   \n",
       "3757  305114          425   451327264     19          120.0        1    1   \n",
       "3787  305114          429   454470656     19          120.0        1    1   \n",
       "\n",
       "      RPId1  RPId2    TrackX1  ...     Acopl  XiMuMuPlus  XiMuMuMinus  \\\n",
       "10        3     23   7.063232  ...  0.058782    0.002211     0.062855   \n",
       "20        3     23   7.391113  ...  0.271141    0.028539     0.011619   \n",
       "33        3     23   6.782959  ...  0.157789    0.035037     0.018197   \n",
       "47        3     23  13.382812  ...  0.008506    0.033806     0.010684   \n",
       "69      103    123   8.629883  ...  0.060892    0.014483     0.008333   \n",
       "84      103    123   5.546875  ...  0.023202    0.019344     0.007848   \n",
       "93        3     23   8.200684  ...  0.145185    0.049092     0.006129   \n",
       "111     103    123   3.611084  ...  0.273834    0.032531     0.003312   \n",
       "118     103    123   3.396606  ...  0.026694    0.001631     0.059633   \n",
       "138       3     23   7.637451  ...  0.095938    0.016999     0.009692   \n",
       "164       3     23   4.550049  ...  0.122833    0.001826     0.078518   \n",
       "165     103    123   7.743896  ...  0.122833    0.001826     0.078518   \n",
       "178       3     23   7.568359  ...  0.059819    0.003387     0.031080   \n",
       "183     103    123   6.093262  ...  0.138546    0.007029     0.020797   \n",
       "190       3     23   9.797363  ...  0.003693    0.018082     0.015884   \n",
       "191     103    123   9.110840  ...  0.003693    0.018082     0.015884   \n",
       "194     103    123   3.855957  ...  0.410358    0.090327     0.001269   \n",
       "199     103    123   2.719238  ...  0.516247    0.051813     0.003133   \n",
       "205       3     23   8.505859  ...  0.043575    0.001635     0.044986   \n",
       "218     103    123   8.751953  ...  0.056547    0.013676     0.005792   \n",
       "235     103    123  11.446289  ...  0.488525    0.039581     0.003762   \n",
       "268     103    123   7.502686  ...  0.446716    0.010912     0.011531   \n",
       "286     103    123   4.247559  ...  0.012675    0.017338     0.055097   \n",
       "300     103    123   8.751953  ...  0.375142    0.011854     0.013446   \n",
       "307     103    123   8.282715  ...  0.111053    0.012471     0.009107   \n",
       "310       3     23   6.782959  ...  0.014958    0.001424     0.057475   \n",
       "325       3     23   7.469482  ...  0.090832    0.019722     0.010234   \n",
       "358     103    123   5.734863  ...  0.009722    0.025261     0.005445   \n",
       "374       3     23   4.559082  ...  0.078056    0.002510     0.052399   \n",
       "375     103    123  13.271973  ...  0.078056    0.002510     0.052399   \n",
       "...     ...    ...        ...  ...       ...         ...          ...   \n",
       "3465    103    123  11.109375  ...  0.013149    0.021957     0.003300   \n",
       "3471      3     23   4.372070  ...  0.197084    0.003975     0.023258   \n",
       "3479    103    123   6.944824  ...  0.008790    0.001865     0.043933   \n",
       "3491      3     23  10.345215  ...  0.021819    0.030502     0.008749   \n",
       "3492    103    123   8.247070  ...  0.021819    0.030502     0.008749   \n",
       "3499      3     23   4.372070  ...  0.000769    0.003258     0.022522   \n",
       "3525      3     23   4.854492  ...  0.022361    0.003570     0.024150   \n",
       "3570      3     23   5.232178  ...  0.074001    0.012326     0.006220   \n",
       "3582    103    123   4.138184  ...  0.482201    0.016894     0.010380   \n",
       "3590      3     23  10.345215  ...  0.022978    0.008067     0.011728   \n",
       "3591    103    123   8.247070  ...  0.022978    0.008067     0.011728   \n",
       "3597      3     23   4.268066  ...  0.126732    0.030315     0.002959   \n",
       "3598    103    123   5.343750  ...  0.126732    0.030315     0.002959   \n",
       "3607    103    123   5.468018  ...  0.022416    0.005273     0.021103   \n",
       "3626    103    123  10.135742  ...  0.012976    0.013034     0.045868   \n",
       "3635    103    123   6.545898  ...  0.430321    0.007037     0.046844   \n",
       "3653    103    123  10.135742  ...  0.413441    0.003393     0.045371   \n",
       "3657      3     23  15.416504  ...  0.023035    0.037473     0.004266   \n",
       "3681      3     23   3.748047  ...  0.009937    0.001599     0.048404   \n",
       "3682    103    123  11.109375  ...  0.009937    0.001599     0.048404   \n",
       "3685    103    123   5.891602  ...  0.063336    0.020505     0.008685   \n",
       "3694    103    123   3.275879  ...  0.054261    0.005487     0.043399   \n",
       "3705      3     23  10.752441  ...  0.021345    0.024070     0.005331   \n",
       "3706    103    123   6.430176  ...  0.021345    0.024070     0.005331   \n",
       "3715      3     23   7.825928  ...  0.845948    0.048832     0.010439   \n",
       "3740      3     23   8.744141  ...  0.012143    0.014632     0.010070   \n",
       "3741    103    123   3.915405  ...  0.012143    0.014632     0.010070   \n",
       "3756      3     23   9.125000  ...  0.013149    0.021957     0.003300   \n",
       "3757    103    123   9.477539  ...  0.013149    0.021957     0.003300   \n",
       "3787    103    123  11.654297  ...  0.000769    0.003258     0.022522   \n",
       "\n",
       "        XiMuMu  period  within_aperture   xlow   xhigh    ylow  yhigh  \n",
       "10    0.002211   2017B             True  1.995  24.334 -10.098  4.298  \n",
       "20    0.028539   2017B             True  1.995  24.334 -10.098  4.298  \n",
       "33    0.035037   2017B             True  1.995  24.334 -10.098  4.298  \n",
       "47    0.033806   2017B             True  1.995  24.334 -10.098  4.298  \n",
       "69    0.008333   2017B             True  2.422  24.620  -9.698  4.698  \n",
       "84    0.007848   2017B             True  2.422  24.620  -9.698  4.698  \n",
       "93    0.049092   2017B             True  1.995  24.334 -10.098  4.298  \n",
       "111   0.003312   2017B             True  2.422  24.620  -9.698  4.698  \n",
       "118   0.059633   2017B             True  2.422  24.620  -9.698  4.698  \n",
       "138   0.016999   2017B             True  1.995  24.334 -10.098  4.298  \n",
       "164   0.001826   2017B             True  1.995  24.334 -10.098  4.298  \n",
       "165   0.078518   2017B             True  2.422  24.620  -9.698  4.698  \n",
       "178   0.003387   2017B             True  1.995  24.334 -10.098  4.298  \n",
       "183   0.020797   2017B             True  2.422  24.620  -9.698  4.698  \n",
       "190   0.018082   2017B             True  1.995  24.334 -10.098  4.298  \n",
       "191   0.015884   2017B             True  2.422  24.620  -9.698  4.698  \n",
       "194   0.001269   2017B             True  2.422  24.620  -9.698  4.698  \n",
       "199   0.003133   2017B             True  2.422  24.620  -9.698  4.698  \n",
       "205   0.001635   2017B             True  1.995  24.334 -10.098  4.298  \n",
       "218   0.005792   2017B             True  2.422  24.620  -9.698  4.698  \n",
       "235   0.003762   2017B             True  2.422  24.620  -9.698  4.698  \n",
       "268   0.011531   2017B             True  2.422  24.620  -9.698  4.698  \n",
       "286   0.055097   2017B             True  2.422  24.620  -9.698  4.698  \n",
       "300   0.013446   2017B             True  2.422  24.620  -9.698  4.698  \n",
       "307   0.009107   2017B             True  2.422  24.620  -9.698  4.698  \n",
       "310   0.001424   2017B             True  1.995  24.334 -10.098  4.298  \n",
       "325   0.019722   2017B             True  1.995  24.334 -10.098  4.298  \n",
       "358   0.005445   2017B             True  2.422  24.620  -9.698  4.698  \n",
       "374   0.002510   2017B             True  1.995  24.334 -10.098  4.298  \n",
       "375   0.052399   2017B             True  2.422  24.620  -9.698  4.698  \n",
       "...        ...     ...              ...    ...     ...     ...    ...  \n",
       "3465  0.003300  2017F1             True  2.422  24.620  -9.698  4.698  \n",
       "3471  0.003975  2017F1             True  1.995  24.334 -10.098  4.298  \n",
       "3479  0.043933  2017F1             True  2.422  24.620  -9.698  4.698  \n",
       "3491  0.030502  2017F1             True  1.995  24.334 -10.098  4.298  \n",
       "3492  0.008749  2017F1             True  2.422  24.620  -9.698  4.698  \n",
       "3499  0.003258  2017F1             True  1.995  24.334 -10.098  4.298  \n",
       "3525  0.003570  2017F1             True  1.995  24.334 -10.098  4.298  \n",
       "3570  0.012326  2017F1             True  1.995  24.334 -10.098  4.298  \n",
       "3582  0.010380  2017F1             True  2.422  24.620  -9.698  4.698  \n",
       "3590  0.008067  2017F1             True  1.995  24.334 -10.098  4.298  \n",
       "3591  0.011728  2017F1             True  2.422  24.620  -9.698  4.698  \n",
       "3597  0.030315  2017F1             True  1.995  24.334 -10.098  4.298  \n",
       "3598  0.002959  2017F1             True  2.422  24.620  -9.698  4.698  \n",
       "3607  0.021103  2017F1             True  2.422  24.620  -9.698  4.698  \n",
       "3626  0.045868  2017F1             True  2.422  24.620  -9.698  4.698  \n",
       "3635  0.046844  2017F1             True  2.422  24.620  -9.698  4.698  \n",
       "3653  0.045371  2017F1             True  2.422  24.620  -9.698  4.698  \n",
       "3657  0.037473  2017F1             True  1.995  24.334 -10.098  4.298  \n",
       "3681  0.001599  2017F1             True  1.995  24.334 -10.098  4.298  \n",
       "3682  0.048404  2017F1             True  2.422  24.620  -9.698  4.698  \n",
       "3685  0.008685  2017F1             True  2.422  24.620  -9.698  4.698  \n",
       "3694  0.043399  2017F1             True  2.422  24.620  -9.698  4.698  \n",
       "3705  0.024070  2017F1             True  1.995  24.334 -10.098  4.298  \n",
       "3706  0.005331  2017F1             True  2.422  24.620  -9.698  4.698  \n",
       "3715  0.048832  2017F1             True  1.995  24.334 -10.098  4.298  \n",
       "3740  0.014632  2017F1             True  1.995  24.334 -10.098  4.298  \n",
       "3741  0.010070  2017F1             True  2.422  24.620  -9.698  4.698  \n",
       "3756  0.021957  2017F1             True  1.995  24.334 -10.098  4.298  \n",
       "3757  0.003300  2017F1             True  2.422  24.620  -9.698  4.698  \n",
       "3787  0.022522  2017F1             True  2.422  24.620  -9.698  4.698  \n",
       "\n",
       "[1212994 rows x 49 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_bkg"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Set aside test sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        Run  LumiSection  EventNum  Slice  CrossingAngle  MultiRP  Arm  RPId1  \\\n",
      "7184      1          764     76394      0          120.0        1    0      3   \n",
      "134812    1         1698    169732      0          150.0        1    1    103   \n",
      "198101    1          414     41334      0          130.0        1    1    103   \n",
      "45399     1         1124    112389      0          130.0        1    1    103   \n",
      "1743      1           17      1693      0          150.0        1    0      3   \n",
      "121218    1         1573    157270      0          120.0        1    1    103   \n",
      "15170     1          841     84012      0          120.0        1    1    103   \n",
      "37604     1         1049    104823      0          150.0        1    1    103   \n",
      "210846    1          732     73107      0          150.0        1    0      3   \n",
      "117203    1         1522    152180      0          120.0        1    1    103   \n",
      "28055     1          961     96012      0          130.0        1    0      3   \n",
      "86475     1         1251    125077      0          130.0        1    1    103   \n",
      "181245    1          256     25551      0          120.0        1    1    103   \n",
      "169047    1         1956    195558      0          130.0        1    1    103   \n",
      "32714     1         1004    100399      0          130.0        1    1    103   \n",
      "140149    1         1748    174768      0          130.0        1    0      3   \n",
      "176573    1          212     21193      0          120.0        1    0      3   \n",
      "140941    1         1756    175564      0          150.0        1    0      3   \n",
      "198366    1          416     41592      0          130.0        1    0      3   \n",
      "38397     1         1056    105600      0          140.0        1    0      3   \n",
      "211601    1          739     73854      0          150.0        1    1    103   \n",
      "82130     1         1211    121033      0          120.0        1    1    103   \n",
      "452       1            5       448      0          120.0        1    0      3   \n",
      "213330    1          755     75431      0          130.0        1    0      3   \n",
      "142973    1         1774    177332      0          150.0        1    1    103   \n",
      "97261     1         1354    135343      0          140.0        1    0      3   \n",
      "137463    1         1723    172275      0          120.0        1    0      3   \n",
      "174724    1          195     19470      0          130.0        1    1    103   \n",
      "71113     1         1150    114945      0          140.0        1    1    103   \n",
      "161664    1         1914    191376      0          120.0        1    1    103   \n",
      "...     ...          ...       ...    ...            ...      ...  ...    ...   \n",
      "76992     1          107     10640      0          150.0        1    1    103   \n",
      "129128    1         1644    164340      0          150.0        1    1    103   \n",
      "42511     1         1096    109562      0          100.0        1    0      3   \n",
      "15853     1          847     84610      0          130.0        1    0      3   \n",
      "74232     1           81      8083      0          130.0        1    0      3   \n",
      "164321    1         1878    187776      0          140.0        1    1    103   \n",
      "137831    1         1727    172634      0          140.0        1    0      3   \n",
      "26167     1          944     94316      0          150.0        1    0      3   \n",
      "201552    1          448     44711      0          150.0        1    0      3   \n",
      "58177     1          560     55938      0          120.0        1    1    103   \n",
      "186173    1          301     30068      0          140.0        1    0      3   \n",
      "69636     1          704     70332      0          150.0        1    1    103   \n",
      "97333     1         1354    135399      0          140.0        1    1    103   \n",
      "103553    1         1413    141261      0          120.0        1    1    103   \n",
      "87043     1         1258    125706      0          120.0        1    0      3   \n",
      "100585    1         1385    138419      0          120.0        1    1    103   \n",
      "30420     1          982     98198      0          150.0        1    1    103   \n",
      "179165    1          236     23544      0          120.0        1    1    103   \n",
      "123651    1         1595    159414      0          150.0        1    1    103   \n",
      "212803    1          750     74969      0          120.0        1    1    103   \n",
      "180167    1          245     24483      0          130.0        1    0      3   \n",
      "75653     1           94      9355      0          150.0        1    1    103   \n",
      "124669    1         1605    160414      0          150.0        1    0      3   \n",
      "92860     1         1312    131197      0          120.0        1    0      3   \n",
      "18392     1          870     86986      0          140.0        1    1    103   \n",
      "197726    1          410     40989      0          150.0        1    0      3   \n",
      "88623     1         1273    127229      0          120.0        1    0      3   \n",
      "9921      1          790     78940      0          130.0        1    0      3   \n",
      "52540     1          506     50557      0          150.0        1    0      3   \n",
      "93287     1         1317    131622      0          120.0        1    0      3   \n",
      "\n",
      "        RPId2    TrackX1  ...      InvMass  ExtraPfCands     Acopl  \\\n",
      "7184       23   4.441162  ...   178.602219             1  0.000010   \n",
      "134812    123   2.944824  ...   153.753983             2  0.000206   \n",
      "198101    123   2.744141  ...   166.183243             0  0.000691   \n",
      "45399     123   5.145264  ...   126.224342             1  0.000256   \n",
      "1743       23   4.333984  ...   125.001396             0  0.001747   \n",
      "121218    123   3.020142  ...   127.565163             0  0.002157   \n",
      "15170     123   4.541260  ...   138.386398             1  0.000247   \n",
      "37604     123   3.437012  ...   262.177338             0  0.000288   \n",
      "210846     23   5.333252  ...   135.474152             5  0.000149   \n",
      "117203    123   4.303955  ...   166.485199             2  0.000219   \n",
      "28055      23  11.315918  ...   320.476044             0  0.001949   \n",
      "86475     123   7.253906  ...  1028.938843             1  0.000964   \n",
      "181245    123   4.729492  ...   117.368462             1  0.000231   \n",
      "169047    123   2.968994  ...   423.723816             0  0.000743   \n",
      "32714     123   3.218872  ...   122.380188             7  0.001037   \n",
      "140149     23   6.326172  ...   239.112457            55  0.000518   \n",
      "176573     23   4.790527  ...   168.536484             0  0.000366   \n",
      "140941     23   6.864502  ...   136.844131             1  0.000651   \n",
      "198366     23   6.481934  ...   546.199219             0  0.000679   \n",
      "38397      23   7.662109  ...   534.272400             8  0.000064   \n",
      "211601    123   2.918823  ...   202.142914             0  0.001240   \n",
      "82130     123   3.286011  ...   215.821198             1  0.001794   \n",
      "452        23   5.365967  ...   288.496582             1  0.000091   \n",
      "213330     23   4.582520  ...   150.400101             0  0.000495   \n",
      "142973    123   4.160156  ...   179.275513             0  0.000315   \n",
      "97261      23   4.189453  ...   136.514526             2  0.001246   \n",
      "137463     23   6.742432  ...   149.946960             0  0.001006   \n",
      "174724    123   4.496338  ...   159.740234             0  0.000846   \n",
      "71113     123   9.054688  ...   362.772125             2  0.000029   \n",
      "161664    123   6.317139  ...   116.037216             0  0.000607   \n",
      "...       ...        ...  ...          ...           ...       ...   \n",
      "76992     123   3.252686  ...   145.748215            29  0.000011   \n",
      "129128    123   4.750977  ...   155.030884             3  0.000512   \n",
      "42511      23   4.507812  ...   163.538010            12  0.000210   \n",
      "15853      23  11.438477  ...   682.236450             3  0.000068   \n",
      "74232      23   4.323486  ...   136.253143             1  0.001055   \n",
      "164321    123   6.539551  ...   260.500854             1  0.000900   \n",
      "137831     23   7.526855  ...   122.931351             0  0.003156   \n",
      "26167      23   5.407471  ...   165.715668            19  0.000096   \n",
      "201552     23   7.108643  ...   484.868378             4  0.000485   \n",
      "58177     123   3.719238  ...   131.785736             1  0.000732   \n",
      "186173     23   3.598389  ...   193.412659             5  0.001519   \n",
      "69636     123   2.819946  ...   111.976242             3  0.000232   \n",
      "97333     123   2.652954  ...   229.004944             1  0.001212   \n",
      "103553    123   3.086182  ...   125.452827             1  0.000655   \n",
      "87043      23   6.812012  ...   604.589355             1  0.000519   \n",
      "100585    123   4.371094  ...   187.998718             0  0.000366   \n",
      "30420     123   4.984375  ...   247.693024             3  0.001040   \n",
      "179165    123   3.678711  ...   119.468964             0  0.000227   \n",
      "123651    123   4.696533  ...   201.868973             0  0.000020   \n",
      "212803    123   4.821533  ...   384.259979             4  0.000464   \n",
      "180167     23   5.241943  ...   153.217575             1  0.001292   \n",
      "75653     123   4.055420  ...   243.357697             3  0.001178   \n",
      "124669     23   7.749756  ...   152.665268             0  0.001455   \n",
      "92860      23  10.638672  ...   127.094322             7  0.004251   \n",
      "18392     123   3.045166  ...   218.304749             1  0.000438   \n",
      "197726     23   3.799072  ...   127.848137             0  0.000176   \n",
      "88623      23   9.468750  ...   199.636047             1  0.000702   \n",
      "9921       23   7.618164  ...   317.243439             6  0.000324   \n",
      "52540      23   6.539795  ...   177.086792             4  0.000882   \n",
      "93287      23   6.610840  ...   207.150894             0  0.000680   \n",
      "\n",
      "        XiMuMuPlus  XiMuMuMinus    XiMuMu   xlow   xhigh    ylow  yhigh  \n",
      "7184      0.040151     0.004701  0.040151  1.995  24.334 -10.098  4.298  \n",
      "134812    0.003692     0.037886  0.037886  2.422  24.620  -9.698  4.698  \n",
      "198101    0.003789     0.043130  0.043130  2.422  24.620  -9.698  4.698  \n",
      "45399     0.001673     0.056360  0.056360  2.422  24.620  -9.698  4.698  \n",
      "1743      0.041338     0.002238  0.041338  1.995  24.334 -10.098  4.298  \n",
      "121218    0.002344     0.041076  0.041076  2.422  24.620  -9.698  4.698  \n",
      "15170     0.001612     0.070304  0.070304  2.422  24.620  -9.698  4.698  \n",
      "37604     0.005933     0.068566  0.068566  2.422  24.620  -9.698  4.698  \n",
      "210846    0.050503     0.002150  0.050503  1.995  24.334 -10.098  4.298  \n",
      "117203    0.003021     0.054283  0.054283  2.422  24.620  -9.698  4.698  \n",
      "28055     0.075807     0.008017  0.075807  1.995  24.334 -10.098  4.298  \n",
      "86475     0.067469     0.092870  0.092870  2.422  24.620  -9.698  4.698  \n",
      "181245    0.001290     0.063180  0.063180  2.422  24.620  -9.698  4.698  \n",
      "169047    0.029491     0.036026  0.036026  2.422  24.620  -9.698  4.698  \n",
      "32714     0.002155     0.041133  0.041133  2.422  24.620  -9.698  4.698  \n",
      "140149    0.056016     0.006040  0.056016  1.995  24.334 -10.098  4.298  \n",
      "176573    0.043850     0.003833  0.043850  1.995  24.334 -10.098  4.298  \n",
      "140941    0.067343     0.001646  0.067343  1.995  24.334 -10.098  4.298  \n",
      "198366    0.071096     0.024830  0.071096  1.995  24.334 -10.098  4.298  \n",
      "38397     0.064152     0.026330  0.064152  1.995  24.334 -10.098  4.298  \n",
      "211601    0.006368     0.037974  0.037974  2.422  24.620  -9.698  4.698  \n",
      "82130     0.006445     0.042765  0.042765  2.422  24.620  -9.698  4.698  \n",
      "452       0.051456     0.009571  0.051456  1.995  24.334 -10.098  4.298  \n",
      "213330    0.046523     0.002878  0.046523  1.995  24.334 -10.098  4.298  \n",
      "142973    0.003357     0.056647  0.056647  2.422  24.620  -9.698  4.698  \n",
      "97261     0.039147     0.002817  0.039147  1.995  24.334 -10.098  4.298  \n",
      "137463    0.064016     0.002080  0.064016  1.995  24.334 -10.098  4.298  \n",
      "174724    0.002358     0.064042  0.064042  2.422  24.620  -9.698  4.698  \n",
      "71113     0.007807     0.100046  0.100046  2.422  24.620  -9.698  4.698  \n",
      "161664    0.001053     0.075706  0.075706  2.422  24.620  -9.698  4.698  \n",
      "...            ...          ...       ...    ...     ...     ...    ...  \n",
      "76992     0.002769     0.045401  0.045401  2.422  24.620  -9.698  4.698  \n",
      "129128    0.001657     0.085834  0.085834  2.422  24.620  -9.698  4.698  \n",
      "42511     0.038220     0.004141  0.038220  1.995  24.334 -10.098  4.298  \n",
      "15853     0.114950     0.023959  0.114950  1.995  24.334 -10.098  4.298  \n",
      "74232     0.039451     0.002786  0.039451  1.995  24.334 -10.098  4.298  \n",
      "164321    0.004736     0.084789  0.084789  2.422  24.620  -9.698  4.698  \n",
      "137831    0.080912     0.001109  0.080912  1.995  24.334 -10.098  4.298  \n",
      "26167     0.051459     0.003158  0.051459  1.995  24.334 -10.098  4.298  \n",
      "201552    0.067904     0.020487  0.067904  1.995  24.334 -10.098  4.298  \n",
      "58177     0.002266     0.045380  0.045380  2.422  24.620  -9.698  4.698  \n",
      "186173    0.036387     0.006084  0.036387  1.995  24.334 -10.098  4.298  \n",
      "69636     0.001770     0.041928  0.041928  2.422  24.620  -9.698  4.698  \n",
      "97333     0.007295     0.042537  0.042537  2.422  24.620  -9.698  4.698  \n",
      "103553    0.002500     0.037255  0.037255  2.422  24.620  -9.698  4.698  \n",
      "87043     0.074236     0.029147  0.074236  1.995  24.334 -10.098  4.298  \n",
      "100585    0.003929     0.053247  0.053247  2.422  24.620  -9.698  4.698  \n",
      "30420     0.004974     0.073001  0.073001  2.422  24.620  -9.698  4.698  \n",
      "179165    0.001959     0.043105  0.043105  2.422  24.620  -9.698  4.698  \n",
      "123651    0.004203     0.057369  0.057369  2.422  24.620  -9.698  4.698  \n",
      "212803    0.015935     0.054830  0.054830  2.422  24.620  -9.698  4.698  \n",
      "180167    0.045047     0.003084  0.045047  1.995  24.334 -10.098  4.298  \n",
      "75653     0.006205     0.056495  0.056495  2.422  24.620  -9.698  4.698  \n",
      "124669    0.070117     0.001968  0.070117  1.995  24.334 -10.098  4.298  \n",
      "92860     0.070718     0.001352  0.070718  1.995  24.334 -10.098  4.298  \n",
      "18392     0.005459     0.051657  0.051657  2.422  24.620  -9.698  4.698  \n",
      "197726    0.043945     0.002201  0.043945  1.995  24.334 -10.098  4.298  \n",
      "88623     0.087377     0.002702  0.087377  1.995  24.334 -10.098  4.298  \n",
      "9921      0.063537     0.009373  0.063537  1.995  24.334 -10.098  4.298  \n",
      "52540     0.069815     0.002658  0.069815  1.995  24.334 -10.098  4.298  \n",
      "93287     0.063835     0.003980  0.063835  1.995  24.334 -10.098  4.298  \n",
      "\n",
      "[28830 rows x 47 columns]         Run  LumiSection  EventNum  Slice  CrossingAngle  MultiRP  Arm  RPId1  \\\n",
      "99234     1         1372    137169      0          120.0        1    1    103   \n",
      "140279    1         1750    174907      0          150.0        1    1    103   \n",
      "190165    1          339     33868      0          130.0        1    1    103   \n",
      "148266    1          149     14874      0          120.0        1    0      3   \n",
      "44734     1         1117    111685      0          150.0        1    0      3   \n",
      "205320    1          632     63108      0          120.0        1    0      3   \n",
      "111452    1         1486    148530      0          140.0        1    0      3   \n",
      "84328     1         1232    123127      0          140.0        1    1    103   \n",
      "191766    1          354     35349      0          130.0        1    0      3   \n",
      "7014      1          763     76219      0          130.0        1    0      3   \n",
      "55272     1          533     53232      0          130.0        1    1    103   \n",
      "85162     1         1240    123902      0          130.0        1    1    103   \n",
      "193007    1          366     36534      0          120.0        1    1    103   \n",
      "185270    1          292     29188      0          130.0        1    1    103   \n",
      "126291    1         1619    161860      0          130.0        1    1    103   \n",
      "182824    1          270     26912      0          120.0        1    0      3   \n",
      "73452     1           74      7325      0          130.0        1    1    103   \n",
      "154194    1         1818    181742      0          150.0        1    0      3   \n",
      "193760    1          374     37329      0          150.0        1    0      3   \n",
      "41417     1         1086    108503      0          150.0        1    1    103   \n",
      "72008     1         1158    115777      0          140.0        1    0      3   \n",
      "79798     1         1189    118872      0          130.0        1    0      3   \n",
      "186401    1          304     30318      0          120.0        1    0      3   \n",
      "37496     1         1048    104788      0          130.0        1    0      3   \n",
      "153707    1         1813    181287      0          120.0        1    0      3   \n",
      "48087     1         1133    113233      0          120.0        1    0      3   \n",
      "50971     1          492     49153      0          120.0        1    0      3   \n",
      "91234     1         1298    129736      0          130.0        1    1    103   \n",
      "201722    1          450     44905      0          140.0        1    1    103   \n",
      "174153    1          190     18990      0          150.0        1    1    103   \n",
      "...     ...          ...       ...    ...            ...      ...  ...    ...   \n",
      "118653    1         1551    155058      0          150.0        1    1    103   \n",
      "142530    1         1770    176902      0          130.0        1    1    103   \n",
      "195292    1          388     38773      0          140.0        1    1    103   \n",
      "150223    1          167     16651      0          140.0        1    0      3   \n",
      "174615    1          194     19353      0          120.0        1    0      3   \n",
      "177674    1          222     22186      0          110.0        1    1    103   \n",
      "137089    1         1719    171898      0          150.0        1    1    103   \n",
      "6721      1          760     75975      0          150.0        1    0      3   \n",
      "200582    1          438     43710      0          150.0        1    1    103   \n",
      "92048     1         1306    130518      0          150.0        1    1    103   \n",
      "56918     1          548     54794      0          130.0        1    0      3   \n",
      "198462    1          417     41690      0          150.0        1    0      3   \n",
      "105826    1         1434    143353      0          120.0        1    0      3   \n",
      "45999     1         1164    116366      0          150.0        1    1    103   \n",
      "14143     1          830     82998      0          130.0        1    0      3   \n",
      "34481     1         1020    101975      0          140.0        1    1    103   \n",
      "89575     1         1282    128122      0          130.0        1    1    103   \n",
      "130148    1         1654    165328      0          130.0        1    1    103   \n",
      "164691    1         1882    188107      0          120.0        1    1    103   \n",
      "57067     1          550     54922      0          150.0        1    1    103   \n",
      "154308    1         1819    181850      0          120.0        1    0      3   \n",
      "1034      1           10       983      0          120.0        1    1    103   \n",
      "58078     1          559     55835      0          150.0        1    0      3   \n",
      "182310    1          266     26548      0          120.0        1    0      3   \n",
      "104042    1         1418    141729      0          140.0        1    0      3   \n",
      "74899     1           87      8698      0          120.0        1    1    103   \n",
      "89250     1         1279    127801      0          130.0        1    0      3   \n",
      "152408    1         1801    180072      0          150.0        1    0      3   \n",
      "35826     1         1033    103232      0          130.0        1    1    103   \n",
      "113096    1         1548    154741      0          140.0        1    1    103   \n",
      "\n",
      "        RPId2    TrackX1  ...     InvMass  ExtraPfCands         Acopl  \\\n",
      "99234     123   6.884521  ...  783.843018             3  8.626284e-07   \n",
      "140279    123   2.978638  ...  400.948456            12  5.804421e-04   \n",
      "190165    123   3.995605  ...  223.688828             3  2.251787e-04   \n",
      "148266     23   5.656982  ...  218.593445             0  7.299701e-05   \n",
      "44734      23   4.997070  ...  111.511894             5  6.226767e-04   \n",
      "205320     23  12.977051  ...  236.842682             6  2.636554e-04   \n",
      "111452     23   5.606934  ...  120.156525             1  1.043757e-03   \n",
      "84328     123   3.479370  ...  151.280701             0  1.070642e-03   \n",
      "191766     23   8.209473  ...  116.916412             0  7.648572e-04   \n",
      "7014       23   6.906982  ...  155.143829             0  3.987060e-05   \n",
      "55272     123   4.111328  ...  225.489899             2  4.840713e-04   \n",
      "85162     123   2.996460  ...  138.359390             0  2.147177e-05   \n",
      "193007    123  10.654297  ...  467.641052             5  4.257965e-04   \n",
      "185270    123   3.704712  ...  121.708488             0  1.866498e-04   \n",
      "126291    123   3.229004  ...  118.095238             0  1.400858e-03   \n",
      "182824     23   4.548828  ...  121.587166             1  2.987430e-03   \n",
      "73452     123  10.747070  ...  547.809692             7  4.716524e-04   \n",
      "154194     23   4.741211  ...  135.083649             2  2.017473e-04   \n",
      "193760     23   9.395020  ...  121.901375             5  8.384942e-05   \n",
      "41417     123   9.386230  ...  191.343262             3  1.058897e-03   \n",
      "72008      23   6.276367  ...  273.684662             4  6.880555e-04   \n",
      "79798      23   8.399902  ...  213.068268             2  5.091628e-04   \n",
      "186401     23   5.217041  ...  144.067780             0  1.445066e-04   \n",
      "37496      23   4.799072  ...  320.965393            12  7.503659e-05   \n",
      "153707     23   4.782715  ...  144.720108             1  2.853246e-03   \n",
      "48087      23   5.741943  ...  189.702072             3  4.338587e-04   \n",
      "50971      23   6.201172  ...  179.123413             2  1.175877e-04   \n",
      "91234     123   3.793945  ...  128.622131             0  5.023326e-04   \n",
      "201722    123   4.202637  ...  116.259178             0  7.042962e-04   \n",
      "174153    123   3.805054  ...  195.770981             3  4.153995e-04   \n",
      "...       ...        ...  ...         ...           ...           ...   \n",
      "118653    123   5.523926  ...  361.602173             0  8.509995e-04   \n",
      "142530    123   4.053955  ...  209.252197             0  1.642762e-04   \n",
      "195292    123   3.594727  ...  311.725067             0  2.181856e-03   \n",
      "150223     23  11.605469  ...  326.348633             6  2.295222e-04   \n",
      "174615     23   4.934814  ...  136.628113             3  2.949921e-03   \n",
      "177674    123   7.347656  ...  116.718269             0  1.895301e-03   \n",
      "137089    123   7.652344  ...  952.804199             0  4.022324e-04   \n",
      "6721       23   7.733398  ...  130.792679             0  1.584148e-04   \n",
      "200582    123   3.854248  ...  201.548920             6  1.682971e-04   \n",
      "92048     123   5.741943  ...  117.523499             1  3.803378e-04   \n",
      "56918      23   6.993408  ...  129.191498             0  3.378566e-04   \n",
      "198462     23   3.699219  ...  152.114624             0  3.065718e-04   \n",
      "105826     23   7.753662  ...  224.131302             2  3.007459e-04   \n",
      "45999     123   3.535889  ...  113.254234             0  1.365952e-03   \n",
      "14143      23   3.857910  ...  330.656799             0  3.850582e-05   \n",
      "34481     123   3.588379  ...  118.302711             0  8.716966e-05   \n",
      "89575     123   5.623291  ...  165.172409             4  1.420591e-04   \n",
      "130148    123  10.160156  ...  216.856354             1  6.274945e-04   \n",
      "164691    123   3.677734  ...  141.793747             2  8.194228e-04   \n",
      "57067     123   3.187500  ...  167.698318             0  2.500080e-04   \n",
      "154308     23   7.749756  ...  274.900116             3  1.919334e-05   \n",
      "1034      123   4.188477  ...  156.260681             7  1.356903e-03   \n",
      "58078      23   4.165283  ...  125.191780             2  4.924465e-04   \n",
      "182310     23   6.417236  ...  192.585541             0  1.432385e-03   \n",
      "104042     23   5.133057  ...  176.495651             1  1.599791e-03   \n",
      "74899     123   3.570557  ...  195.730652             3  7.426212e-04   \n",
      "89250      23   5.591797  ...  265.300995             2  2.489029e-04   \n",
      "152408     23   5.425293  ...  138.226746             0  2.594612e-04   \n",
      "35826     123   3.519043  ...  156.305359             4  2.852464e-04   \n",
      "113096    123   2.652466  ...  300.027527             0  4.450906e-04   \n",
      "\n",
      "        XiMuMuPlus  XiMuMuMinus    XiMuMu   xlow   xhigh    ylow  yhigh  \n",
      "99234     0.046896     0.077529  0.077529  2.422  24.620  -9.698  4.698  \n",
      "140279    0.022383     0.042499  0.042499  2.422  24.620  -9.698  4.698  \n",
      "190165    0.005239     0.056514  0.056514  2.422  24.620  -9.698  4.698  \n",
      "148266    0.049608     0.005699  0.049608  1.995  24.334 -10.098  4.298  \n",
      "44734     0.047299     0.001556  0.047299  1.995  24.334 -10.098  4.298  \n",
      "205320    0.100070     0.003318  0.100070  1.995  24.334 -10.098  4.298  \n",
      "111452    0.052469     0.001628  0.052469  1.995  24.334 -10.098  4.298  \n",
      "84328     0.003250     0.041663  0.041663  2.422  24.620  -9.698  4.698  \n",
      "191766    0.070977     0.001141  0.070977  1.995  24.334 -10.098  4.298  \n",
      "7014      0.074484     0.001915  0.074484  1.995  24.334 -10.098  4.298  \n",
      "55272     0.005410     0.055662  0.055662  2.422  24.620  -9.698  4.698  \n",
      "85162     0.002460     0.046053  0.046053  2.422  24.620  -9.698  4.698  \n",
      "193007    0.008431     0.154068  0.154068  2.422  24.620  -9.698  4.698  \n",
      "185270    0.002013     0.043534  0.043534  2.422  24.620  -9.698  4.698  \n",
      "126291    0.001916     0.043085  0.043085  2.422  24.620  -9.698  4.698  \n",
      "182824    0.048079     0.001820  0.048079  1.995  24.334 -10.098  4.298  \n",
      "73452     0.017832     0.099597  0.099597  2.422  24.620  -9.698  4.698  \n",
      "154194    0.050950     0.002119  0.050950  1.995  24.334 -10.098  4.298  \n",
      "193760    0.086240     0.001021  0.086240  1.995  24.334 -10.098  4.298  \n",
      "41417     0.002710     0.079987  0.079987  2.422  24.620  -9.698  4.698  \n",
      "72008     0.056711     0.007817  0.056711  1.995  24.334 -10.098  4.298  \n",
      "79798     0.081371     0.003301  0.081371  1.995  24.334 -10.098  4.298  \n",
      "186401    0.050666     0.002424  0.050666  1.995  24.334 -10.098  4.298  \n",
      "37496     0.042522     0.014345  0.042522  1.995  24.334 -10.098  4.298  \n",
      "153707    0.038358     0.003231  0.038358  1.995  24.334 -10.098  4.298  \n",
      "48087     0.048569     0.004384  0.048569  1.995  24.334 -10.098  4.298  \n",
      "50971     0.056762     0.003345  0.056762  1.995  24.334 -10.098  4.298  \n",
      "91234     0.001939     0.050495  0.050495  2.422  24.620  -9.698  4.698  \n",
      "201722    0.001375     0.058163  0.058163  2.422  24.620  -9.698  4.698  \n",
      "174153    0.003553     0.063845  0.063845  2.422  24.620  -9.698  4.698  \n",
      "...            ...          ...       ...    ...     ...     ...    ...  \n",
      "118653    0.011353     0.068149  0.068149  2.422  24.620  -9.698  4.698  \n",
      "142530    0.004767     0.054353  0.054353  2.422  24.620  -9.698  4.698  \n",
      "195292    0.012805     0.044904  0.044904  2.422  24.620  -9.698  4.698  \n",
      "150223    0.097618     0.006456  0.097618  1.995  24.334 -10.098  4.298  \n",
      "174615    0.052803     0.002092  0.052803  1.995  24.334 -10.098  4.298  \n",
      "177674    0.000973     0.082868  0.082868  2.422  24.620  -9.698  4.698  \n",
      "137089    0.045136     0.119021  0.119021  2.422  24.620  -9.698  4.698  \n",
      "6721      0.076522     0.001323  0.076522  1.995  24.334 -10.098  4.298  \n",
      "200582    0.004072     0.059040  0.059040  2.422  24.620  -9.698  4.698  \n",
      "92048     0.000952     0.085888  0.085888  2.422  24.620  -9.698  4.698  \n",
      "56918     0.064478     0.001532  0.064478  1.995  24.334 -10.098  4.298  \n",
      "198462    0.039782     0.003445  0.039782  1.995  24.334 -10.098  4.298  \n",
      "105826    0.063608     0.004673  0.063608  1.995  24.334 -10.098  4.298  \n",
      "45999     0.001518     0.049984  0.049984  2.422  24.620  -9.698  4.698  \n",
      "14143     0.034380     0.018820  0.034380  1.995  24.334 -10.098  4.298  \n",
      "34481     0.001799     0.046038  0.046038  2.422  24.620  -9.698  4.698  \n",
      "89575     0.001840     0.087748  0.087748  2.422  24.620  -9.698  4.698  \n",
      "130148    0.002632     0.105734  0.105734  2.422  24.620  -9.698  4.698  \n",
      "164691    0.002779     0.042820  0.042820  2.422  24.620  -9.698  4.698  \n",
      "57067     0.003546     0.046936  0.046936  2.422  24.620  -9.698  4.698  \n",
      "154308    0.067831     0.006593  0.067831  1.995  24.334 -10.098  4.298  \n",
      "1034      0.003154     0.045875  0.045875  2.422  24.620  -9.698  4.698  \n",
      "58078     0.040706     0.002278  0.040706  1.995  24.334 -10.098  4.298  \n",
      "182310    0.051555     0.004257  0.051555  1.995  24.334 -10.098  4.298  \n",
      "104042    0.051220     0.003599  0.051220  1.995  24.334 -10.098  4.298  \n",
      "74899     0.004770     0.047528  0.047528  2.422  24.620  -9.698  4.698  \n",
      "89250     0.056279     0.007403  0.056279  1.995  24.334 -10.098  4.298  \n",
      "152408    0.059893     0.001888  0.059893  1.995  24.334 -10.098  4.298  \n",
      "35826     0.002742     0.052718  0.052718  2.422  24.620  -9.698  4.698  \n",
      "113096    0.012672     0.042035  0.042035  2.422  24.620  -9.698  4.698  \n",
      "\n",
      "[19221 rows x 47 columns] [1. 1. 1. ... 1. 1. 1.] [1. 1. 1. ... 1. 1. 1.]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           Run  LumiSection    EventNum  Slice  CrossingAngle  MultiRP  Arm  \\\n",
      "584610  304169          775  1174086912     15          130.0        1    1   \n",
      "305145  300375           71   110011792     10          140.0        1    0   \n",
      "665428  297219          184   377924896      4          150.0        1    0   \n",
      "988550  304209          366   622661056     12          140.0        1    1   \n",
      "696031  297219          690  1276009216      6          130.0        1    0   \n",
      "611262  304447         1056  1711461760      8          120.0        1    1   \n",
      "106992  299481          305   363365184      0          120.0        1    0   \n",
      "802514  304654          407   657480768      8          130.0        1    1   \n",
      "391423  300576          119   174375040      8          140.0        1    1   \n",
      "688733  305045          278   484990912     14          140.0        1    1   \n",
      "886189  300280          635   846633792      5          140.0        1    0   \n",
      "691408  305112          628  1070034240      8          130.0        1    0   \n",
      "324912  304144         1952  2801836800      5          110.0        1    1   \n",
      "772152  305112          739  1256376448      3          130.0        1    1   \n",
      "880975  300280          629   836498304     16          140.0        1    0   \n",
      "268202  305113           13     7818990     13          120.0        1    0   \n",
      "279987  300636         1505  1691709568     13          120.0        1    1   \n",
      "570986  300576           66    95590904      7          150.0        1    1   \n",
      "209081  300467           68    72470224     12          120.0        1    0   \n",
      "849779  304740            6     5892824      6          120.0        1    0   \n",
      "259729  304366          167   274509056     14          150.0        1    1   \n",
      "985045  297101          223   312505248      9          150.0        1    0   \n",
      "453130  299593          419   514767680      8          140.0        1    1   \n",
      "404383  297467           91   125553304      0          150.0        1    0   \n",
      "314603  300777           90   112029576      8          150.0        1    0   \n",
      "581753  300459          220   327394752      3          150.0        1    1   \n",
      "374309  297178          228   312824704     19          140.0        1    1   \n",
      "610908  305064         1098  1533012224     14          120.0        1    1   \n",
      "798669  304447           84   153647456      6          150.0        1    1   \n",
      "621795  304797         1427  2340289024     15          120.0        1    1   \n",
      "...        ...          ...         ...    ...            ...      ...  ...   \n",
      "302356  300237          663   900025472     18          130.0        1    1   \n",
      "598627  304062          772  1161486336     11          130.0        1    0   \n",
      "267537  304616          910  1494086272     19          130.0        1    1   \n",
      "669824  304170           92    86998272     14          110.0        1    1   \n",
      "720147  297219         2265  3187383808      2          120.0        1    1   \n",
      "257968  305081          219   326257376      3          150.0        1    1   \n",
      "734099  304738          285   483494304     17          130.0        1    1   \n",
      "751856  304125          495   795360256     16          130.0        1    1   \n",
      "540248  299395           94   138917696      8          150.0        1    0   \n",
      "73002   304778          360   638993600     16          130.0        1    0   \n",
      "850534  300122          198   256528048     14          150.0        1    0   \n",
      "136084  300631          120   113913320     16          150.0        1    1   \n",
      "241621  305045          477   804869056     18          120.0        1    0   \n",
      "773894  300284          443   603501952     12          120.0        1    0   \n",
      "21672   304738          140   247246816      9          150.0        1    0   \n",
      "20704   305045          140   257107024      0          140.0        1    0   \n",
      "652428  300636         1368  1568472320     17          120.0        1    0   \n",
      "979018  303832          448   563227392      0          140.0        1    1   \n",
      "843363  304144          905  1575104384     14          130.0        1    1   \n",
      "830323  300576          187   285196288     15          140.0        1    0   \n",
      "846316  305045          232   412204256      6          140.0        1    1   \n",
      "328291  304366          161   261655072      6          150.0        1    1   \n",
      "298403  304144          500   849580544     10          140.0        1    0   \n",
      "542188  305045          840  1309979520     18          120.0        1    1   \n",
      "730152  297219           10    19343876     10          150.0        1    1   \n",
      "752601  304616          637  1063349056      9          130.0        1    1   \n",
      "951730  305064         1543  1929922432     14          110.0        1    0   \n",
      "616117  305059          473   663097408      6          150.0        1    0   \n",
      "852799  304562          229   317534368      7          150.0        1    1   \n",
      "65875   297296           41    59507760     15          130.0        1    1   \n",
      "\n",
      "        RPId1  RPId2    TrackX1  ...     Acopl  XiMuMuPlus  XiMuMuMinus  \\\n",
      "584610    103    123   5.188477  ...  0.107399    0.006463     0.018423   \n",
      "305145      3     23   3.576294  ...  0.105640    0.051889     0.006702   \n",
      "665428      3     23  11.187988  ...  0.552615    0.006062     0.146347   \n",
      "988550    103    123   6.848145  ...  0.019761    0.063330     0.016469   \n",
      "696031      3     23  12.202637  ...  0.017037    0.008327     0.099107   \n",
      "611262    103    123   5.043213  ...  0.005014    0.037065     0.003526   \n",
      "106992      3     23   3.822388  ...  0.030717    0.031280     0.002459   \n",
      "802514    103    123   5.360596  ...  0.002613    0.066164     0.002303   \n",
      "391423    103    123   4.906250  ...  0.000453    0.009466     0.021551   \n",
      "688733    103    123  11.034180  ...  0.028492    0.017014     0.004507   \n",
      "886189      3     23   5.914551  ...  0.023239    0.013150     0.057583   \n",
      "691408      3     23   2.768188  ...  0.008765    0.013409     0.030065   \n",
      "324912    103    123  12.620117  ...  0.007472    0.012592     0.010055   \n",
      "772152    103    123  11.625488  ...  0.129574    0.030184     0.002941   \n",
      "880975      3     23   6.237549  ...  0.053329    0.017512     0.005518   \n",
      "268202      3     23   6.758545  ...  0.524713    0.016752     0.009130   \n",
      "279987    103    123   4.102783  ...  0.045927    0.078344     0.005979   \n",
      "570986    103    123   4.658691  ...  0.039325    0.025182     0.008356   \n",
      "209081      3     23  10.952637  ...  0.060138    0.011827     0.006562   \n",
      "849779      3     23   5.786621  ...  0.006784    0.003146     0.033579   \n",
      "259729    103    123   3.054077  ...  0.094387    0.038165     0.002011   \n",
      "985045      3     23  12.019043  ...  0.061234    0.053992     0.002723   \n",
      "453130    103    123   3.058228  ...  0.101628    0.010951     0.017203   \n",
      "404383      3     23   5.448730  ...  0.023148    0.012060     0.005984   \n",
      "314603      3     23   5.665283  ...  0.013444    0.001707     0.053964   \n",
      "581753    103    123   9.377441  ...  0.005123    0.004739     0.028871   \n",
      "374309    103    123   5.658936  ...  0.015889    0.047323     0.001769   \n",
      "610908    103    123  12.645020  ...  0.007144    0.008200     0.009430   \n",
      "798669    103    123   7.587158  ...  0.022131    0.019282     0.008156   \n",
      "621795    103    123   5.297119  ...  0.068015    0.002580     0.030775   \n",
      "...       ...    ...        ...  ...       ...         ...          ...   \n",
      "302356    103    123   4.233398  ...  0.138085    0.019976     0.010085   \n",
      "598627      3     23   3.232056  ...  0.007670    0.033473     0.003638   \n",
      "267537    103    123  14.249023  ...  0.031511    0.008814     0.024284   \n",
      "669824    103    123   4.530762  ...  0.033716    0.067830     0.006292   \n",
      "720147    103    123   6.279785  ...  0.336816    0.023748     0.004399   \n",
      "257968    103    123   2.708374  ...  0.011104    0.023649     0.005628   \n",
      "734099    103    123   5.021973  ...  0.004076    0.044463     0.002685   \n",
      "751856    103    123   3.692993  ...  0.033194    0.007446     0.011940   \n",
      "540248      3     23   7.741943  ...  0.010655    0.003610     0.050675   \n",
      "73002       3     23  11.588867  ...  0.012910    0.017513     0.004689   \n",
      "850534      3     23  12.578125  ...  0.027820    0.027735     0.004792   \n",
      "136084    103    123   8.093262  ...  0.003619    0.008833     0.056116   \n",
      "241621      3     23  14.129395  ...  0.025874    0.056897     0.001475   \n",
      "773894      3     23   2.617065  ...  0.030078    0.024419     0.002960   \n",
      "21672       3     23   7.911865  ...  0.016484    0.003366     0.032263   \n",
      "20704       3     23   5.484863  ...  0.060852    0.062842     0.003943   \n",
      "652428      3     23   7.285156  ...  0.052244    0.012794     0.047732   \n",
      "979018    103    123   4.372314  ...  0.002366    0.049924     0.005069   \n",
      "843363    103    123   8.997070  ...  0.200030    0.001362     0.085376   \n",
      "830323      3     23   9.520020  ...  0.087240    0.022521     0.008101   \n",
      "846316    103    123   6.943604  ...  0.019658    0.007873     0.009132   \n",
      "328291    103    123   4.406494  ...  0.049833    0.001762     0.060302   \n",
      "298403      3     23  10.987305  ...  0.635022    0.003959     0.034947   \n",
      "542188    103    123   5.727051  ...  0.306168    0.023314     0.019608   \n",
      "730152    103    123   8.509277  ...  0.718522    0.071555     0.002491   \n",
      "752601    103    123   9.294922  ...  0.088726    0.003925     0.033788   \n",
      "951730      3     23  10.333496  ...  0.016173    0.007345     0.024705   \n",
      "616117      3     23   4.973145  ...  0.058237    0.004419     0.017918   \n",
      "852799    103    123   4.288330  ...  0.028656    0.006970     0.023964   \n",
      "65875     103    123   7.574219  ...  0.068906    0.001375     0.074483   \n",
      "\n",
      "          XiMuMu  period  within_aperture   xlow   xhigh    ylow  yhigh  \n",
      "584610  0.018423   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "305145  0.051889  2017C1             True  1.995  24.334 -10.098  4.298  \n",
      "665428  0.006062   2017B             True  1.995  24.334 -10.098  4.298  \n",
      "988550  0.016469   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "696031  0.008327   2017B             True  1.995  24.334 -10.098  4.298  \n",
      "611262  0.003526   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "106992  0.031280  2017C1             True  1.995  24.334 -10.098  4.298  \n",
      "802514  0.002303   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "391423  0.021551  2017C1             True  2.422  24.620  -9.698  4.698  \n",
      "688733  0.004507  2017F1             True  2.422  24.620  -9.698  4.698  \n",
      "886189  0.013150  2017C1             True  1.995  24.334 -10.098  4.298  \n",
      "691408  0.013409  2017F1             True  1.995  24.334 -10.098  4.298  \n",
      "324912  0.010055   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "772152  0.002941  2017F1             True  2.422  24.620  -9.698  4.698  \n",
      "880975  0.017512  2017C1             True  1.995  24.334 -10.098  4.298  \n",
      "268202  0.016752  2017F1             True  1.995  24.334 -10.098  4.298  \n",
      "279987  0.005979  2017C1             True  2.422  24.620  -9.698  4.698  \n",
      "570986  0.008356  2017C1             True  2.422  24.620  -9.698  4.698  \n",
      "209081  0.011827  2017C1             True  1.995  24.334 -10.098  4.298  \n",
      "849779  0.003146   2017E             True  1.995  24.334 -10.098  4.298  \n",
      "259729  0.002011   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "985045  0.053992   2017B             True  1.995  24.334 -10.098  4.298  \n",
      "453130  0.017203  2017C1             True  2.422  24.620  -9.698  4.698  \n",
      "404383  0.012060   2017B             True  1.995  24.334 -10.098  4.298  \n",
      "314603  0.001707  2017C1             True  1.995  24.334 -10.098  4.298  \n",
      "581753  0.028871  2017C1             True  2.422  24.620  -9.698  4.698  \n",
      "374309  0.001769   2017B             True  2.422  24.620  -9.698  4.698  \n",
      "610908  0.009430  2017F1             True  2.422  24.620  -9.698  4.698  \n",
      "798669  0.008156   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "621795  0.030775   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "...          ...     ...              ...    ...     ...     ...    ...  \n",
      "302356  0.010085  2017C1             True  2.422  24.620  -9.698  4.698  \n",
      "598627  0.033473   2017E             True  1.995  24.334 -10.098  4.298  \n",
      "267537  0.024284   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "669824  0.006292   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "720147  0.004399   2017B             True  2.422  24.620  -9.698  4.698  \n",
      "257968  0.005628  2017F1             True  2.422  24.620  -9.698  4.698  \n",
      "734099  0.002685   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "751856  0.011940   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "540248  0.003610  2017C1             True  1.995  24.334 -10.098  4.298  \n",
      "73002   0.017513   2017E             True  1.995  24.334 -10.098  4.298  \n",
      "850534  0.027735  2017C1             True  1.995  24.334 -10.098  4.298  \n",
      "136084  0.056116  2017C1             True  2.422  24.620  -9.698  4.698  \n",
      "241621  0.056897  2017F1             True  1.995  24.334 -10.098  4.298  \n",
      "773894  0.024419  2017C1             True  1.995  24.334 -10.098  4.298  \n",
      "21672   0.003366   2017E             True  1.995  24.334 -10.098  4.298  \n",
      "20704   0.062842  2017F1             True  1.995  24.334 -10.098  4.298  \n",
      "652428  0.012794  2017C1             True  1.995  24.334 -10.098  4.298  \n",
      "979018  0.005069   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "843363  0.085376   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "830323  0.022521  2017C1             True  1.995  24.334 -10.098  4.298  \n",
      "846316  0.009132  2017F1             True  2.422  24.620  -9.698  4.698  \n",
      "328291  0.060302   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "298403  0.003959   2017E             True  1.995  24.334 -10.098  4.298  \n",
      "542188  0.019608  2017F1             True  2.422  24.620  -9.698  4.698  \n",
      "730152  0.002491   2017B             True  2.422  24.620  -9.698  4.698  \n",
      "752601  0.033788   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "951730  0.007345  2017F1             True  1.995  24.334 -10.098  4.298  \n",
      "616117  0.004419  2017F1             True  1.995  24.334 -10.098  4.298  \n",
      "852799  0.023964   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "65875   0.074483   2017B             True  2.422  24.620  -9.698  4.698  \n",
      "\n",
      "[727796 rows x 49 columns]            Run  LumiSection    EventNum  Slice  CrossingAngle  MultiRP  Arm  \\\n",
      "931377  303838          698  1020683264      3          130.0        1    1   \n",
      "659744  297219          530  1011556224      0          140.0        1    1   \n",
      "240398  303998          166   216886368     12          150.0        1    1   \n",
      "994078  304562          846  1453095808      3          130.0        1    1   \n",
      "830447  300280          440   559030272     10          150.0        1    1   \n",
      "393413  305112          126   126610400      6          150.0        1    0   \n",
      "806350  304797         1154  2007562880     15          120.0        1    1   \n",
      "498669  299149          466   673804352     14          140.0        1    1   \n",
      "287820  300636          875  1082481024      5          120.0        1    0   \n",
      "765511  300235          124   188800800      5          150.0        1    0   \n",
      "176720  300155          812  1092535040     12          130.0        1    0   \n",
      "711934  304778          165   310412576     18          130.0        1    1   \n",
      "136519  299062          210   346101376     13          140.0        1    1   \n",
      "94580   305081          742  1258690816      9          130.0        1    0   \n",
      "177166  300636          208   288388640      8          130.0        1    1   \n",
      "427087  305081          578   987459904      6          130.0        1    1   \n",
      "578163  305064          216   356228192     13          130.0        1    0   \n",
      "302635  300515          978  1512326400      2          130.0        1    0   \n",
      "618372  305112         1269  2133441024      0          120.0        1    0   \n",
      "878245  305081          472   802829696      0          150.0        1    0   \n",
      "381863  299369           67    90919096     17          150.0        1    1   \n",
      "145479  304125          406   669632256     17          130.0        1    1   \n",
      "44368   297219          938  1651957248     17          130.0        1    0   \n",
      "954612  305114           49    56582040      2          120.0        1    0   \n",
      "512265  304292          847  1437351808      2          130.0        1    1   \n",
      "286990  305064          971  1400776192      6          120.0        1    1   \n",
      "561583  300226          229   285576352     13          150.0        1    0   \n",
      "252903  305045          740  1181145600      9          120.0        1    0   \n",
      "889224  300237          447   627556032      6          130.0        1    1   \n",
      "891925  297100          321   570685120     14          150.0        1    1   \n",
      "...        ...          ...         ...    ...            ...      ...  ...   \n",
      "351340  299593          323   372354432      9          140.0        1    0   \n",
      "428698  305046          260   281433120      8          120.0        1    1   \n",
      "432349  305081          576   984333056     11          130.0        1    1   \n",
      "80973   300558           42    52434876      4          130.0        1    1   \n",
      "447114  300777          318   487580896      0          150.0        1    0   \n",
      "380546  303999           36    64034384      4          150.0        1    1   \n",
      "248375  300155         1040  1401899904      6          130.0        1    0   \n",
      "84194   300155          638   858190592     10          140.0        1    1   \n",
      "2537    299480          429   610249152      7          130.0        1    0   \n",
      "59421   304447          788  1355895680      6          130.0        1    1   \n",
      "875235  304738          261   446045216      8          150.0        1    0   \n",
      "414649  304209          111   133804304      1          140.0        1    1   \n",
      "326553  305046           54    62234292     17          120.0        1    1   \n",
      "485446  304625          119   115791760      2          150.0        1    1   \n",
      "870203  304062         1114  1574379264      2          130.0        1    1   \n",
      "46267   304366          812  1364806528      9          130.0        1    1   \n",
      "179775  300464            6     8544683     14          130.0        1    1   \n",
      "575848  304797          203   367549664     17          150.0        1    1   \n",
      "385704  299370          359   456816320      2          130.0        1    1   \n",
      "82684   304508           36    59172400      1          130.0        1    1   \n",
      "831449  305081          414   698789696     12          150.0        1    1   \n",
      "252519  305045           97   177385280      9          140.0        1    1   \n",
      "794181  305045          446   752903552     13          130.0        1    1   \n",
      "208251  304144          677  1197860224      2          130.0        1    1   \n",
      "685848  304616          265   404558592     14          140.0        1    1   \n",
      "383979  303832          109    84524248      7          150.0        1    1   \n",
      "624202  300636          760   958219328      9          120.0        1    0   \n",
      "311400  304169         1675  2136752256      4          110.0        1    1   \n",
      "470404  300400          114   167690576      8          140.0        1    0   \n",
      "560783  300284          333   461173376     12          130.0        1    0   \n",
      "\n",
      "        RPId1  RPId2    TrackX1  ...     Acopl  XiMuMuPlus  XiMuMuMinus  \\\n",
      "931377    103    123   7.717773  ...  0.009081    0.004645     0.023206   \n",
      "659744    103    123   3.239868  ...  0.078974    0.055886     0.012037   \n",
      "240398    103    123   6.843018  ...  0.347860    0.004699     0.026504   \n",
      "994078    103    123   4.424316  ...  0.226842    0.002129     0.052912   \n",
      "830447    103    123   4.314697  ...  0.008625    0.036819     0.027692   \n",
      "393413      3     23   6.260498  ...  0.056475    0.011132     0.017820   \n",
      "806350    103    123   9.954102  ...  0.256566    0.003713     0.024156   \n",
      "498669    103    123   6.507812  ...  0.014926    0.049695     0.001710   \n",
      "287820      3     23   4.501953  ...  0.083944    0.001375     0.059757   \n",
      "765511      3     23   9.574707  ...  0.250899    0.013089     0.018505   \n",
      "176720      3     23   5.956055  ...  0.002507    0.009705     0.008566   \n",
      "711934    103    123  15.831055  ...  0.204676    0.042240     0.002724   \n",
      "136519    103    123   6.284912  ...  0.072999    0.042164     0.002003   \n",
      "94580       3     23   8.232422  ...  0.016525    0.009450     0.016049   \n",
      "177166    103    123  12.548828  ...  0.042502    0.023862     0.004523   \n",
      "427087    103    123   3.168091  ...  0.016731    0.001687     0.058749   \n",
      "578163      3     23   5.148438  ...  0.025220    0.002516     0.076708   \n",
      "302635      3     23   9.721191  ...  0.121947    0.002827     0.060917   \n",
      "618372      3     23   8.665527  ...  0.091782    0.013010     0.019866   \n",
      "878245      3     23   5.755371  ...  0.245846    0.001274     0.064932   \n",
      "381863    103    123   4.907227  ...  0.038812    0.014215     0.028390   \n",
      "145479    103    123  10.911621  ...  0.029811    0.016157     0.004724   \n",
      "44368       3     23  10.689453  ...  0.015402    0.001953     0.087327   \n",
      "954612      3     23  10.828125  ...  0.179598    0.065072     0.007749   \n",
      "512265    103    123   6.218750  ...  0.016374    0.029301     0.031567   \n",
      "286990    103    123   8.110840  ...  0.032991    0.008447     0.016035   \n",
      "561583      3     23   3.720093  ...  0.015824    0.035690     0.004986   \n",
      "252903      3     23   4.130371  ...  0.060613    0.135805     0.002448   \n",
      "889224    103    123   6.917725  ...  0.160261    0.003682     0.043490   \n",
      "891925    103    123   6.317139  ...  0.229103    0.006235     0.049609   \n",
      "...       ...    ...        ...  ...       ...         ...          ...   \n",
      "351340      3     23   8.847168  ...  0.298782    0.100843     0.001943   \n",
      "428698    103    123   9.357422  ...  0.071467    0.048252     0.005337   \n",
      "432349    103    123   4.467285  ...  0.056437    0.005135     0.065264   \n",
      "80973     103    123   6.235840  ...  0.018254    0.025616     0.003486   \n",
      "447114      3     23   4.467285  ...  0.026169    0.003583     0.147710   \n",
      "380546    103    123   3.783936  ...  0.022016    0.061190     0.006094   \n",
      "248375      3     23   3.350220  ...  0.028040    0.029418     0.002616   \n",
      "84194     103    123   9.128906  ...  0.026157    0.002580     0.030570   \n",
      "2537        3     23  11.880371  ...  0.016322    0.006284     0.028901   \n",
      "59421     103    123   8.412109  ...  0.000825    0.016693     0.007889   \n",
      "875235      3     23   4.549805  ...  0.006539    0.030312     0.004879   \n",
      "414649    103    123   8.645508  ...  0.034352    0.030495     0.005092   \n",
      "326553    103    123   4.596924  ...  0.041880    0.009237     0.014679   \n",
      "485446    103    123   3.628540  ...  0.042531    0.073936     0.005501   \n",
      "870203    103    123   5.772949  ...  0.519180    0.033654     0.003967   \n",
      "46267     103    123   8.633789  ...  0.005098    0.002166     0.050676   \n",
      "179775    103    123   8.461426  ...  0.037385    0.003447     0.061430   \n",
      "575848    103    123   9.083008  ...  0.005644    0.010729     0.006903   \n",
      "385704    103    123   6.736328  ...  0.002533    0.030836     0.002441   \n",
      "82684     103    123   4.661377  ...  0.062916    0.001717     0.045281   \n",
      "831449    103    123   3.914307  ...  0.093598    0.006811     0.012463   \n",
      "252519    103    123  13.092285  ...  0.354665    0.055182     0.002090   \n",
      "794181    103    123   5.072266  ...  0.117842    0.004528     0.021488   \n",
      "208251    103    123   5.419922  ...  0.421425    0.027460     0.005795   \n",
      "685848    103    123   5.987061  ...  0.051581    0.066053     0.002047   \n",
      "383979    103    123   4.621338  ...  0.015989    0.099493     0.003400   \n",
      "624202      3     23  10.000000  ...  0.017307    0.003333     0.022133   \n",
      "311400    103    123   9.291992  ...  0.014241    0.009571     0.007957   \n",
      "470404      3     23   7.828613  ...  0.014987    0.047210     0.002665   \n",
      "560783      3     23  11.570312  ...  0.650177    0.025963     0.017952   \n",
      "\n",
      "          XiMuMu  period  within_aperture   xlow   xhigh    ylow  yhigh  \n",
      "931377  0.023206   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "659744  0.012037   2017B             True  2.422  24.620  -9.698  4.698  \n",
      "240398  0.026504   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "994078  0.052912   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "830447  0.027692  2017C1             True  2.422  24.620  -9.698  4.698  \n",
      "393413  0.011132  2017F1             True  1.995  24.334 -10.098  4.298  \n",
      "806350  0.024156   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "498669  0.001710   2017B             True  2.422  24.620  -9.698  4.698  \n",
      "287820  0.001375  2017C1             True  1.995  24.334 -10.098  4.298  \n",
      "765511  0.013089  2017C1             True  1.995  24.334 -10.098  4.298  \n",
      "176720  0.009705  2017C1             True  1.995  24.334 -10.098  4.298  \n",
      "711934  0.002724   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "136519  0.002003   2017B             True  2.422  24.620  -9.698  4.698  \n",
      "94580   0.009450  2017F1             True  1.995  24.334 -10.098  4.298  \n",
      "177166  0.004523  2017C1             True  2.422  24.620  -9.698  4.698  \n",
      "427087  0.058749  2017F1             True  2.422  24.620  -9.698  4.698  \n",
      "578163  0.002516  2017F1             True  1.995  24.334 -10.098  4.298  \n",
      "302635  0.002827  2017C1             True  1.995  24.334 -10.098  4.298  \n",
      "618372  0.013010  2017F1             True  1.995  24.334 -10.098  4.298  \n",
      "878245  0.001274  2017F1             True  1.995  24.334 -10.098  4.298  \n",
      "381863  0.028390  2017C1             True  2.422  24.620  -9.698  4.698  \n",
      "145479  0.004724   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "44368   0.001953   2017B             True  1.995  24.334 -10.098  4.298  \n",
      "954612  0.065072  2017F1             True  1.995  24.334 -10.098  4.298  \n",
      "512265  0.031567   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "286990  0.016035  2017F1             True  2.422  24.620  -9.698  4.698  \n",
      "561583  0.035690  2017C1             True  1.995  24.334 -10.098  4.298  \n",
      "252903  0.135805  2017F1             True  1.995  24.334 -10.098  4.298  \n",
      "889224  0.043490  2017C1             True  2.422  24.620  -9.698  4.698  \n",
      "891925  0.049609   2017B             True  2.422  24.620  -9.698  4.698  \n",
      "...          ...     ...              ...    ...     ...     ...    ...  \n",
      "351340  0.100843  2017C1             True  1.995  24.334 -10.098  4.298  \n",
      "428698  0.005337  2017F1             True  2.422  24.620  -9.698  4.698  \n",
      "432349  0.065264  2017F1             True  2.422  24.620  -9.698  4.698  \n",
      "80973   0.003486  2017C1             True  2.422  24.620  -9.698  4.698  \n",
      "447114  0.003583  2017C1             True  1.995  24.334 -10.098  4.298  \n",
      "380546  0.006094   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "248375  0.029418  2017C1             True  1.995  24.334 -10.098  4.298  \n",
      "84194   0.030570  2017C1             True  2.422  24.620  -9.698  4.698  \n",
      "2537    0.006284  2017C1             True  1.995  24.334 -10.098  4.298  \n",
      "59421   0.007889   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "875235  0.030312   2017E             True  1.995  24.334 -10.098  4.298  \n",
      "414649  0.005092   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "326553  0.014679  2017F1             True  2.422  24.620  -9.698  4.698  \n",
      "485446  0.005501   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "870203  0.003967   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "46267   0.050676   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "179775  0.061430  2017C1             True  2.422  24.620  -9.698  4.698  \n",
      "575848  0.006903   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "385704  0.002441  2017C1             True  2.422  24.620  -9.698  4.698  \n",
      "82684   0.045281   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "831449  0.012463  2017F1             True  2.422  24.620  -9.698  4.698  \n",
      "252519  0.002090  2017F1             True  2.422  24.620  -9.698  4.698  \n",
      "794181  0.021488  2017F1             True  2.422  24.620  -9.698  4.698  \n",
      "208251  0.005795   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "685848  0.002047   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "383979  0.003400   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "624202  0.003333  2017C1             True  1.995  24.334 -10.098  4.298  \n",
      "311400  0.007957   2017E             True  2.422  24.620  -9.698  4.698  \n",
      "470404  0.047210  2017C1             True  1.995  24.334 -10.098  4.298  \n",
      "560783  0.025963  2017C1             True  1.995  24.334 -10.098  4.298  \n",
      "\n",
      "[485198 rows x 49 columns] [0. 0. 0. ... 0. 0. 0.] [0. 0. 0. ... 0. 0. 0.]\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "y_sig_ = np.ones( df_signal.shape[0] )\n",
    "y_bkg_ = np.zeros( df_bkg.shape[0] )\n",
    "\n",
    "df_signal_train, df_signal_test, y_sig_train, y_sig_test = train_test_split( df_signal, y_sig_, test_size=0.40, shuffle=True, random_state=12345 )\n",
    "df_bkg_train, df_bkg_test, y_bkg_train, y_bkg_test = train_test_split( df_bkg, y_bkg_, test_size=0.40, shuffle=True, random_state=12345 )\n",
    "\n",
    "print ( df_signal_train, df_signal_test, y_sig_train, y_sig_test )\n",
    "print ( df_bkg_train, df_bkg_test, y_bkg_train, y_bkg_test )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[28830, 19221, 28830, 19221]\n",
      "[727796, 485198, 727796, 485198]\n",
      "Run                       1.000000e+00\n",
      "LumiSection               1.004417e+03\n",
      "EventNum                  1.003923e+05\n",
      "Slice                     0.000000e+00\n",
      "CrossingAngle             1.335316e+02\n",
      "MultiRP                   1.000000e+00\n",
      "Arm                       4.798918e-01\n",
      "RPId1                     5.098918e+01\n",
      "RPId2                     7.098918e+01\n",
      "TrackX1                   5.360522e+00\n",
      "TrackY1                   8.681382e-01\n",
      "TrackX2                   5.378507e+00\n",
      "TrackY2                   9.039768e-01\n",
      "TrackThX_SingleRP        -9.990000e+02\n",
      "TrackThY_SingleRP        -9.990000e+02\n",
      "Track1ThX_MultiRP        -6.571191e-06\n",
      "Track1ThY_MultiRP         7.334872e-06\n",
      "Track2ThX_MultiRP        -7.935825e-06\n",
      "Track2ThY_MultiRP         6.452781e-06\n",
      "TrackPixShift_SingleRP   -1.000000e+00\n",
      "Track1PixShift_MultiRP    0.000000e+00\n",
      "Track2PixShift_MultiRP    0.000000e+00\n",
      "Xi                        5.838119e-02\n",
      "T                        -1.802354e-01\n",
      "ThX                       6.103922e-06\n",
      "ThY                       9.172004e-07\n",
      "Time                      0.000000e+00\n",
      "nVertices                 2.818027e+01\n",
      "PrimVertexZ               7.842554e-01\n",
      "Muon0Pt                   9.452153e+01\n",
      "Muon0Eta                  3.627895e-02\n",
      "Muon0Phi                 -8.237384e-03\n",
      "Muon0VtxZ                 7.843556e-01\n",
      "Muon1Pt                   9.137965e+01\n",
      "Muon1Eta                  4.893144e-02\n",
      "Muon1Phi                 -8.694190e-03\n",
      "Muon1VtxZ                 7.842579e-01\n",
      "InvMass                   2.399052e+02\n",
      "ExtraPfCands              2.595286e+00\n",
      "Acopl                     7.442024e-04\n",
      "XiMuMuPlus                3.373725e-02\n",
      "XiMuMuMinus               3.272669e-02\n",
      "XiMuMu                    5.833405e-02\n",
      "xlow                      2.199914e+00\n",
      "xhigh                     2.447125e+01\n",
      "ylow                     -9.906043e+00\n",
      "yhigh                     4.489957e+00\n",
      "dtype: float64\n",
      "Run                       3.019983e+05\n",
      "LumiSection               5.216690e+02\n",
      "EventNum                  7.471846e+08\n",
      "Slice                     9.493052e+00\n",
      "CrossingAngle             1.331414e+02\n",
      "MultiRP                   1.000000e+00\n",
      "Arm                       6.159609e-01\n",
      "RPId1                     6.459609e+01\n",
      "RPId2                     8.459609e+01\n",
      "TrackX1                   7.289542e+00\n",
      "TrackY1                   8.607087e-01\n",
      "TrackX2                   7.262184e+00\n",
      "TrackY2                   8.756835e-01\n",
      "TrackThX_SingleRP        -9.990000e+02\n",
      "TrackThY_SingleRP        -9.990000e+02\n",
      "Track1ThX_MultiRP         2.797262e-03\n",
      "Track1ThY_MultiRP        -2.940833e-04\n",
      "Track2ThX_MultiRP        -4.661847e-03\n",
      "Track2ThY_MultiRP         1.669075e-03\n",
      "TrackPixShift_SingleRP   -1.000000e+00\n",
      "Track1PixShift_MultiRP    0.000000e+00\n",
      "Track2PixShift_MultiRP    0.000000e+00\n",
      "Xi                        8.372340e-02\n",
      "T                        -2.377122e+00\n",
      "ThX                      -1.506147e-06\n",
      "ThY                       3.442983e-05\n",
      "Time                      5.100952e-03\n",
      "nVertices                 2.787623e+01\n",
      "PrimVertexZ               2.732115e-01\n",
      "Muon0Pt                   8.842078e+01\n",
      "Muon0Eta                  1.682623e-03\n",
      "Muon0Phi                 -1.338040e-02\n",
      "Muon0VtxZ                 2.731879e-01\n",
      "Muon1Pt                   7.029937e+01\n",
      "Muon1Eta                  1.372518e-03\n",
      "Muon1Phi                 -4.429996e-03\n",
      "Muon1VtxZ                 2.732067e-01\n",
      "InvMass                   1.716579e+02\n",
      "ExtraPfCands              3.851594e+01\n",
      "Acopl                     1.049312e-01\n",
      "XiMuMuPlus                2.317662e-02\n",
      "XiMuMuMinus               2.305501e-02\n",
      "XiMuMu                    2.308761e-02\n",
      "within_aperture           1.000000e+00\n",
      "xlow                      2.258015e+00\n",
      "xhigh                     2.451016e+01\n",
      "ylow                     -9.851616e+00\n",
      "yhigh                     4.544384e+00\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print ( [ arr_.shape[0] for arr_ in ( df_signal_train, df_signal_test, y_sig_train, y_sig_test ) ] )\n",
    "print ( [ arr_.shape[0] for arr_ in ( df_bkg_train, df_bkg_test, y_bkg_train, y_bkg_test ) ] )\n",
    "print ( df_signal_test.mean() )\n",
    "# print ( df_bkg_test.mean() )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Select variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Xi</th>\n",
       "      <th>Muon0Pt</th>\n",
       "      <th>Muon1Pt</th>\n",
       "      <th>InvMass</th>\n",
       "      <th>ExtraPfCands</th>\n",
       "      <th>Acopl</th>\n",
       "      <th>XiMuMu</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7184</th>\n",
       "      <td>0.040329</td>\n",
       "      <td>73.456902</td>\n",
       "      <td>72.462585</td>\n",
       "      <td>178.602219</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000010</td>\n",
       "      <td>0.040151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134812</th>\n",
       "      <td>0.039064</td>\n",
       "      <td>77.487175</td>\n",
       "      <td>76.224182</td>\n",
       "      <td>153.753983</td>\n",
       "      <td>2</td>\n",
       "      <td>0.000206</td>\n",
       "      <td>0.037886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198101</th>\n",
       "      <td>0.041670</td>\n",
       "      <td>63.803547</td>\n",
       "      <td>62.695671</td>\n",
       "      <td>166.183243</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000691</td>\n",
       "      <td>0.043130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45399</th>\n",
       "      <td>0.058295</td>\n",
       "      <td>53.412079</td>\n",
       "      <td>52.910538</td>\n",
       "      <td>126.224342</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000256</td>\n",
       "      <td>0.056360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1743</th>\n",
       "      <td>0.043040</td>\n",
       "      <td>53.542686</td>\n",
       "      <td>50.286655</td>\n",
       "      <td>125.001396</td>\n",
       "      <td>0</td>\n",
       "      <td>0.001747</td>\n",
       "      <td>0.041338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121218</th>\n",
       "      <td>0.040292</td>\n",
       "      <td>54.416470</td>\n",
       "      <td>54.017834</td>\n",
       "      <td>127.565163</td>\n",
       "      <td>0</td>\n",
       "      <td>0.002157</td>\n",
       "      <td>0.041076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15170</th>\n",
       "      <td>0.072571</td>\n",
       "      <td>67.009575</td>\n",
       "      <td>66.574005</td>\n",
       "      <td>138.386398</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000247</td>\n",
       "      <td>0.070304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37604</th>\n",
       "      <td>0.065533</td>\n",
       "      <td>122.996933</td>\n",
       "      <td>120.216347</td>\n",
       "      <td>262.177338</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000288</td>\n",
       "      <td>0.068566</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210846</th>\n",
       "      <td>0.053142</td>\n",
       "      <td>67.908630</td>\n",
       "      <td>67.161713</td>\n",
       "      <td>135.474152</td>\n",
       "      <td>5</td>\n",
       "      <td>0.000149</td>\n",
       "      <td>0.050503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117203</th>\n",
       "      <td>0.055398</td>\n",
       "      <td>60.326309</td>\n",
       "      <td>59.703342</td>\n",
       "      <td>166.485199</td>\n",
       "      <td>2</td>\n",
       "      <td>0.000219</td>\n",
       "      <td>0.054283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28055</th>\n",
       "      <td>0.079746</td>\n",
       "      <td>128.400131</td>\n",
       "      <td>126.398750</td>\n",
       "      <td>320.476044</td>\n",
       "      <td>0</td>\n",
       "      <td>0.001949</td>\n",
       "      <td>0.075807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86475</th>\n",
       "      <td>0.091051</td>\n",
       "      <td>200.346481</td>\n",
       "      <td>185.394852</td>\n",
       "      <td>1028.938843</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000964</td>\n",
       "      <td>0.092870</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181245</th>\n",
       "      <td>0.063947</td>\n",
       "      <td>58.186634</td>\n",
       "      <td>57.490646</td>\n",
       "      <td>117.368462</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000231</td>\n",
       "      <td>0.063180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169047</th>\n",
       "      <td>0.036785</td>\n",
       "      <td>120.813400</td>\n",
       "      <td>117.736992</td>\n",
       "      <td>423.723816</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000743</td>\n",
       "      <td>0.036026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32714</th>\n",
       "      <td>0.040557</td>\n",
       "      <td>56.021065</td>\n",
       "      <td>55.332851</td>\n",
       "      <td>122.380188</td>\n",
       "      <td>7</td>\n",
       "      <td>0.001037</td>\n",
       "      <td>0.041133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140149</th>\n",
       "      <td>0.059230</td>\n",
       "      <td>79.989639</td>\n",
       "      <td>78.300980</td>\n",
       "      <td>239.112457</td>\n",
       "      <td>55</td>\n",
       "      <td>0.000518</td>\n",
       "      <td>0.056016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176573</th>\n",
       "      <td>0.045385</td>\n",
       "      <td>75.473709</td>\n",
       "      <td>75.130745</td>\n",
       "      <td>168.536484</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000366</td>\n",
       "      <td>0.043850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140941</th>\n",
       "      <td>0.068586</td>\n",
       "      <td>68.011917</td>\n",
       "      <td>66.345413</td>\n",
       "      <td>136.844131</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000651</td>\n",
       "      <td>0.067343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198366</th>\n",
       "      <td>0.071497</td>\n",
       "      <td>142.690567</td>\n",
       "      <td>142.053925</td>\n",
       "      <td>546.199219</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000679</td>\n",
       "      <td>0.071096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38397</th>\n",
       "      <td>0.062192</td>\n",
       "      <td>86.336792</td>\n",
       "      <td>81.873024</td>\n",
       "      <td>534.272400</td>\n",
       "      <td>8</td>\n",
       "      <td>0.000064</td>\n",
       "      <td>0.064152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211601</th>\n",
       "      <td>0.037637</td>\n",
       "      <td>55.902458</td>\n",
       "      <td>53.796207</td>\n",
       "      <td>202.142914</td>\n",
       "      <td>0</td>\n",
       "      <td>0.001240</td>\n",
       "      <td>0.037974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82130</th>\n",
       "      <td>0.045934</td>\n",
       "      <td>104.352959</td>\n",
       "      <td>102.718155</td>\n",
       "      <td>215.821198</td>\n",
       "      <td>1</td>\n",
       "      <td>0.001794</td>\n",
       "      <td>0.042765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>452</th>\n",
       "      <td>0.053177</td>\n",
       "      <td>133.403732</td>\n",
       "      <td>131.717728</td>\n",
       "      <td>288.496582</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000091</td>\n",
       "      <td>0.051456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213330</th>\n",
       "      <td>0.046727</td>\n",
       "      <td>74.073387</td>\n",
       "      <td>70.928848</td>\n",
       "      <td>150.400101</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000495</td>\n",
       "      <td>0.046523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142973</th>\n",
       "      <td>0.057977</td>\n",
       "      <td>85.321342</td>\n",
       "      <td>84.205429</td>\n",
       "      <td>179.275513</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000315</td>\n",
       "      <td>0.056647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97261</th>\n",
       "      <td>0.040556</td>\n",
       "      <td>56.794407</td>\n",
       "      <td>56.086529</td>\n",
       "      <td>136.514526</td>\n",
       "      <td>2</td>\n",
       "      <td>0.001246</td>\n",
       "      <td>0.039147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137463</th>\n",
       "      <td>0.062406</td>\n",
       "      <td>72.672447</td>\n",
       "      <td>67.925468</td>\n",
       "      <td>149.946960</td>\n",
       "      <td>0</td>\n",
       "      <td>0.001006</td>\n",
       "      <td>0.064016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174724</th>\n",
       "      <td>0.065249</td>\n",
       "      <td>65.209106</td>\n",
       "      <td>64.290833</td>\n",
       "      <td>159.740234</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000846</td>\n",
       "      <td>0.064042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71113</th>\n",
       "      <td>0.101921</td>\n",
       "      <td>190.603561</td>\n",
       "      <td>170.890045</td>\n",
       "      <td>362.772125</td>\n",
       "      <td>2</td>\n",
       "      <td>0.000029</td>\n",
       "      <td>0.100046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161664</th>\n",
       "      <td>0.074361</td>\n",
       "      <td>58.107605</td>\n",
       "      <td>56.901669</td>\n",
       "      <td>116.037216</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000607</td>\n",
       "      <td>0.075706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76992</th>\n",
       "      <td>0.047133</td>\n",
       "      <td>53.262589</td>\n",
       "      <td>50.778679</td>\n",
       "      <td>145.748215</td>\n",
       "      <td>29</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>0.045401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129128</th>\n",
       "      <td>0.086940</td>\n",
       "      <td>75.961441</td>\n",
       "      <td>75.623672</td>\n",
       "      <td>155.030884</td>\n",
       "      <td>3</td>\n",
       "      <td>0.000512</td>\n",
       "      <td>0.085834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42511</th>\n",
       "      <td>0.039291</td>\n",
       "      <td>79.782295</td>\n",
       "      <td>77.980820</td>\n",
       "      <td>163.538010</td>\n",
       "      <td>12</td>\n",
       "      <td>0.000210</td>\n",
       "      <td>0.038220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15853</th>\n",
       "      <td>0.107661</td>\n",
       "      <td>301.325287</td>\n",
       "      <td>301.217712</td>\n",
       "      <td>682.236450</td>\n",
       "      <td>3</td>\n",
       "      <td>0.000068</td>\n",
       "      <td>0.114950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74232</th>\n",
       "      <td>0.039795</td>\n",
       "      <td>69.453636</td>\n",
       "      <td>66.175041</td>\n",
       "      <td>136.253143</td>\n",
       "      <td>1</td>\n",
       "      <td>0.001055</td>\n",
       "      <td>0.039451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164321</th>\n",
       "      <td>0.083812</td>\n",
       "      <td>95.494194</td>\n",
       "      <td>93.357918</td>\n",
       "      <td>260.500854</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000900</td>\n",
       "      <td>0.084789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137831</th>\n",
       "      <td>0.076916</td>\n",
       "      <td>64.395142</td>\n",
       "      <td>57.014233</td>\n",
       "      <td>122.931351</td>\n",
       "      <td>0</td>\n",
       "      <td>0.003156</td>\n",
       "      <td>0.080912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26167</th>\n",
       "      <td>0.049940</td>\n",
       "      <td>62.397621</td>\n",
       "      <td>61.481190</td>\n",
       "      <td>165.715668</td>\n",
       "      <td>19</td>\n",
       "      <td>0.000096</td>\n",
       "      <td>0.051459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201552</th>\n",
       "      <td>0.066847</td>\n",
       "      <td>175.694183</td>\n",
       "      <td>172.403030</td>\n",
       "      <td>484.868378</td>\n",
       "      <td>4</td>\n",
       "      <td>0.000485</td>\n",
       "      <td>0.067904</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58177</th>\n",
       "      <td>0.045404</td>\n",
       "      <td>65.076538</td>\n",
       "      <td>61.953533</td>\n",
       "      <td>131.785736</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000732</td>\n",
       "      <td>0.045380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186173</th>\n",
       "      <td>0.035572</td>\n",
       "      <td>68.381348</td>\n",
       "      <td>67.052795</td>\n",
       "      <td>193.412659</td>\n",
       "      <td>5</td>\n",
       "      <td>0.001519</td>\n",
       "      <td>0.036387</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69636</th>\n",
       "      <td>0.042911</td>\n",
       "      <td>55.304295</td>\n",
       "      <td>53.826668</td>\n",
       "      <td>111.976242</td>\n",
       "      <td>3</td>\n",
       "      <td>0.000232</td>\n",
       "      <td>0.041928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97333</th>\n",
       "      <td>0.041888</td>\n",
       "      <td>80.385605</td>\n",
       "      <td>79.629471</td>\n",
       "      <td>229.004944</td>\n",
       "      <td>1</td>\n",
       "      <td>0.001212</td>\n",
       "      <td>0.042537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103553</th>\n",
       "      <td>0.037101</td>\n",
       "      <td>63.327358</td>\n",
       "      <td>62.016171</td>\n",
       "      <td>125.452827</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000655</td>\n",
       "      <td>0.037255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87043</th>\n",
       "      <td>0.067663</td>\n",
       "      <td>94.767342</td>\n",
       "      <td>82.543228</td>\n",
       "      <td>604.589355</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000519</td>\n",
       "      <td>0.074236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100585</th>\n",
       "      <td>0.055553</td>\n",
       "      <td>91.079803</td>\n",
       "      <td>86.959709</td>\n",
       "      <td>187.998718</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000366</td>\n",
       "      <td>0.053247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30420</th>\n",
       "      <td>0.073482</td>\n",
       "      <td>106.859673</td>\n",
       "      <td>103.685982</td>\n",
       "      <td>247.693024</td>\n",
       "      <td>3</td>\n",
       "      <td>0.001040</td>\n",
       "      <td>0.073001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179165</th>\n",
       "      <td>0.042899</td>\n",
       "      <td>56.385723</td>\n",
       "      <td>55.242035</td>\n",
       "      <td>119.468964</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000227</td>\n",
       "      <td>0.043105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123651</th>\n",
       "      <td>0.058846</td>\n",
       "      <td>78.805252</td>\n",
       "      <td>78.488968</td>\n",
       "      <td>201.868973</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000020</td>\n",
       "      <td>0.057369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212803</th>\n",
       "      <td>0.055091</td>\n",
       "      <td>132.179199</td>\n",
       "      <td>130.202728</td>\n",
       "      <td>384.259979</td>\n",
       "      <td>4</td>\n",
       "      <td>0.000464</td>\n",
       "      <td>0.054830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180167</th>\n",
       "      <td>0.045114</td>\n",
       "      <td>50.413052</td>\n",
       "      <td>50.250454</td>\n",
       "      <td>153.217575</td>\n",
       "      <td>1</td>\n",
       "      <td>0.001292</td>\n",
       "      <td>0.045047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75653</th>\n",
       "      <td>0.054651</td>\n",
       "      <td>105.400154</td>\n",
       "      <td>100.903984</td>\n",
       "      <td>243.357697</td>\n",
       "      <td>3</td>\n",
       "      <td>0.001178</td>\n",
       "      <td>0.056495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124669</th>\n",
       "      <td>0.065188</td>\n",
       "      <td>71.097923</td>\n",
       "      <td>67.861183</td>\n",
       "      <td>152.665268</td>\n",
       "      <td>0</td>\n",
       "      <td>0.001455</td>\n",
       "      <td>0.070117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92860</th>\n",
       "      <td>0.065495</td>\n",
       "      <td>62.584209</td>\n",
       "      <td>61.663418</td>\n",
       "      <td>127.094322</td>\n",
       "      <td>7</td>\n",
       "      <td>0.004251</td>\n",
       "      <td>0.070718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18392</th>\n",
       "      <td>0.054680</td>\n",
       "      <td>107.836227</td>\n",
       "      <td>107.439384</td>\n",
       "      <td>218.304749</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000438</td>\n",
       "      <td>0.051657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197726</th>\n",
       "      <td>0.044393</td>\n",
       "      <td>64.324028</td>\n",
       "      <td>63.513115</td>\n",
       "      <td>127.848137</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000176</td>\n",
       "      <td>0.043945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88623</th>\n",
       "      <td>0.086655</td>\n",
       "      <td>94.560280</td>\n",
       "      <td>87.521088</td>\n",
       "      <td>199.636047</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000702</td>\n",
       "      <td>0.087377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9921</th>\n",
       "      <td>0.066203</td>\n",
       "      <td>91.966156</td>\n",
       "      <td>90.591629</td>\n",
       "      <td>317.243439</td>\n",
       "      <td>6</td>\n",
       "      <td>0.000324</td>\n",
       "      <td>0.063537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52540</th>\n",
       "      <td>0.069373</td>\n",
       "      <td>79.064980</td>\n",
       "      <td>78.735741</td>\n",
       "      <td>177.086792</td>\n",
       "      <td>4</td>\n",
       "      <td>0.000882</td>\n",
       "      <td>0.069815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93287</th>\n",
       "      <td>0.062440</td>\n",
       "      <td>101.899872</td>\n",
       "      <td>96.933830</td>\n",
       "      <td>207.150894</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000680</td>\n",
       "      <td>0.063835</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>28830 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Xi     Muon0Pt     Muon1Pt      InvMass  ExtraPfCands     Acopl  \\\n",
       "7184    0.040329   73.456902   72.462585   178.602219             1  0.000010   \n",
       "134812  0.039064   77.487175   76.224182   153.753983             2  0.000206   \n",
       "198101  0.041670   63.803547   62.695671   166.183243             0  0.000691   \n",
       "45399   0.058295   53.412079   52.910538   126.224342             1  0.000256   \n",
       "1743    0.043040   53.542686   50.286655   125.001396             0  0.001747   \n",
       "121218  0.040292   54.416470   54.017834   127.565163             0  0.002157   \n",
       "15170   0.072571   67.009575   66.574005   138.386398             1  0.000247   \n",
       "37604   0.065533  122.996933  120.216347   262.177338             0  0.000288   \n",
       "210846  0.053142   67.908630   67.161713   135.474152             5  0.000149   \n",
       "117203  0.055398   60.326309   59.703342   166.485199             2  0.000219   \n",
       "28055   0.079746  128.400131  126.398750   320.476044             0  0.001949   \n",
       "86475   0.091051  200.346481  185.394852  1028.938843             1  0.000964   \n",
       "181245  0.063947   58.186634   57.490646   117.368462             1  0.000231   \n",
       "169047  0.036785  120.813400  117.736992   423.723816             0  0.000743   \n",
       "32714   0.040557   56.021065   55.332851   122.380188             7  0.001037   \n",
       "140149  0.059230   79.989639   78.300980   239.112457            55  0.000518   \n",
       "176573  0.045385   75.473709   75.130745   168.536484             0  0.000366   \n",
       "140941  0.068586   68.011917   66.345413   136.844131             1  0.000651   \n",
       "198366  0.071497  142.690567  142.053925   546.199219             0  0.000679   \n",
       "38397   0.062192   86.336792   81.873024   534.272400             8  0.000064   \n",
       "211601  0.037637   55.902458   53.796207   202.142914             0  0.001240   \n",
       "82130   0.045934  104.352959  102.718155   215.821198             1  0.001794   \n",
       "452     0.053177  133.403732  131.717728   288.496582             1  0.000091   \n",
       "213330  0.046727   74.073387   70.928848   150.400101             0  0.000495   \n",
       "142973  0.057977   85.321342   84.205429   179.275513             0  0.000315   \n",
       "97261   0.040556   56.794407   56.086529   136.514526             2  0.001246   \n",
       "137463  0.062406   72.672447   67.925468   149.946960             0  0.001006   \n",
       "174724  0.065249   65.209106   64.290833   159.740234             0  0.000846   \n",
       "71113   0.101921  190.603561  170.890045   362.772125             2  0.000029   \n",
       "161664  0.074361   58.107605   56.901669   116.037216             0  0.000607   \n",
       "...          ...         ...         ...          ...           ...       ...   \n",
       "76992   0.047133   53.262589   50.778679   145.748215            29  0.000011   \n",
       "129128  0.086940   75.961441   75.623672   155.030884             3  0.000512   \n",
       "42511   0.039291   79.782295   77.980820   163.538010            12  0.000210   \n",
       "15853   0.107661  301.325287  301.217712   682.236450             3  0.000068   \n",
       "74232   0.039795   69.453636   66.175041   136.253143             1  0.001055   \n",
       "164321  0.083812   95.494194   93.357918   260.500854             1  0.000900   \n",
       "137831  0.076916   64.395142   57.014233   122.931351             0  0.003156   \n",
       "26167   0.049940   62.397621   61.481190   165.715668            19  0.000096   \n",
       "201552  0.066847  175.694183  172.403030   484.868378             4  0.000485   \n",
       "58177   0.045404   65.076538   61.953533   131.785736             1  0.000732   \n",
       "186173  0.035572   68.381348   67.052795   193.412659             5  0.001519   \n",
       "69636   0.042911   55.304295   53.826668   111.976242             3  0.000232   \n",
       "97333   0.041888   80.385605   79.629471   229.004944             1  0.001212   \n",
       "103553  0.037101   63.327358   62.016171   125.452827             1  0.000655   \n",
       "87043   0.067663   94.767342   82.543228   604.589355             1  0.000519   \n",
       "100585  0.055553   91.079803   86.959709   187.998718             0  0.000366   \n",
       "30420   0.073482  106.859673  103.685982   247.693024             3  0.001040   \n",
       "179165  0.042899   56.385723   55.242035   119.468964             0  0.000227   \n",
       "123651  0.058846   78.805252   78.488968   201.868973             0  0.000020   \n",
       "212803  0.055091  132.179199  130.202728   384.259979             4  0.000464   \n",
       "180167  0.045114   50.413052   50.250454   153.217575             1  0.001292   \n",
       "75653   0.054651  105.400154  100.903984   243.357697             3  0.001178   \n",
       "124669  0.065188   71.097923   67.861183   152.665268             0  0.001455   \n",
       "92860   0.065495   62.584209   61.663418   127.094322             7  0.004251   \n",
       "18392   0.054680  107.836227  107.439384   218.304749             1  0.000438   \n",
       "197726  0.044393   64.324028   63.513115   127.848137             0  0.000176   \n",
       "88623   0.086655   94.560280   87.521088   199.636047             1  0.000702   \n",
       "9921    0.066203   91.966156   90.591629   317.243439             6  0.000324   \n",
       "52540   0.069373   79.064980   78.735741   177.086792             4  0.000882   \n",
       "93287   0.062440  101.899872   96.933830   207.150894             0  0.000680   \n",
       "\n",
       "          XiMuMu  \n",
       "7184    0.040151  \n",
       "134812  0.037886  \n",
       "198101  0.043130  \n",
       "45399   0.056360  \n",
       "1743    0.041338  \n",
       "121218  0.041076  \n",
       "15170   0.070304  \n",
       "37604   0.068566  \n",
       "210846  0.050503  \n",
       "117203  0.054283  \n",
       "28055   0.075807  \n",
       "86475   0.092870  \n",
       "181245  0.063180  \n",
       "169047  0.036026  \n",
       "32714   0.041133  \n",
       "140149  0.056016  \n",
       "176573  0.043850  \n",
       "140941  0.067343  \n",
       "198366  0.071096  \n",
       "38397   0.064152  \n",
       "211601  0.037974  \n",
       "82130   0.042765  \n",
       "452     0.051456  \n",
       "213330  0.046523  \n",
       "142973  0.056647  \n",
       "97261   0.039147  \n",
       "137463  0.064016  \n",
       "174724  0.064042  \n",
       "71113   0.100046  \n",
       "161664  0.075706  \n",
       "...          ...  \n",
       "76992   0.045401  \n",
       "129128  0.085834  \n",
       "42511   0.038220  \n",
       "15853   0.114950  \n",
       "74232   0.039451  \n",
       "164321  0.084789  \n",
       "137831  0.080912  \n",
       "26167   0.051459  \n",
       "201552  0.067904  \n",
       "58177   0.045380  \n",
       "186173  0.036387  \n",
       "69636   0.041928  \n",
       "97333   0.042537  \n",
       "103553  0.037255  \n",
       "87043   0.074236  \n",
       "100585  0.053247  \n",
       "30420   0.073001  \n",
       "179165  0.043105  \n",
       "123651  0.057369  \n",
       "212803  0.054830  \n",
       "180167  0.045047  \n",
       "75653   0.056495  \n",
       "124669  0.070117  \n",
       "92860   0.070718  \n",
       "18392   0.051657  \n",
       "197726  0.043945  \n",
       "88623   0.087377  \n",
       "9921    0.063537  \n",
       "52540   0.069815  \n",
       "93287   0.063835  \n",
       "\n",
       "[28830 rows x 7 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# X_sig = df_signal[ ['Xi', 'Muon0Pt', 'Muon1Pt', 'InvMass', 'ExtraPfCands', 'Acopl', 'XiMuMu'] ]\n",
    "X_sig_train = None\n",
    "X_sig_test = None\n",
    "if run_random_experiments:\n",
    "    X_sig_train = df_signal_train[ ['Xi_smeared', 'Muon0Pt', 'Muon1Pt', 'InvMass', 'ExtraPfCands', 'Acopl', 'XiMuMu'] ].rename( columns={ \"Xi_smeared\": \"Xi\" } )\n",
    "    X_sig_test = df_signal_test[ ['Xi_smeared', 'Muon0Pt', 'Muon1Pt', 'InvMass', 'ExtraPfCands', 'Acopl', 'XiMuMu'] ].rename( columns={ \"Xi_smeared\": \"Xi\" } )\n",
    "else:\n",
    "    X_sig_train = df_signal_train[ ['Xi', 'Muon0Pt', 'Muon1Pt', 'InvMass', 'ExtraPfCands', 'Acopl', 'XiMuMu'] ]\n",
    "    X_sig_test = df_signal_test[ ['Xi', 'Muon0Pt', 'Muon1Pt', 'InvMass', 'ExtraPfCands', 'Acopl', 'XiMuMu'] ]\n",
    "X_sig_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Xi</th>\n",
       "      <th>Muon0Pt</th>\n",
       "      <th>Muon1Pt</th>\n",
       "      <th>InvMass</th>\n",
       "      <th>ExtraPfCands</th>\n",
       "      <th>Acopl</th>\n",
       "      <th>XiMuMu</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>584610</th>\n",
       "      <td>0.057389</td>\n",
       "      <td>72.875313</td>\n",
       "      <td>55.133251</td>\n",
       "      <td>139.115662</td>\n",
       "      <td>18</td>\n",
       "      <td>0.107399</td>\n",
       "      <td>0.018423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305145</th>\n",
       "      <td>0.043718</td>\n",
       "      <td>110.621307</td>\n",
       "      <td>105.858086</td>\n",
       "      <td>239.736038</td>\n",
       "      <td>41</td>\n",
       "      <td>0.105640</td>\n",
       "      <td>0.051889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>665428</th>\n",
       "      <td>0.096003</td>\n",
       "      <td>248.045914</td>\n",
       "      <td>129.451035</td>\n",
       "      <td>247.146591</td>\n",
       "      <td>13</td>\n",
       "      <td>0.552615</td>\n",
       "      <td>0.006062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>988550</th>\n",
       "      <td>0.120712</td>\n",
       "      <td>154.062881</td>\n",
       "      <td>99.193192</td>\n",
       "      <td>416.161377</td>\n",
       "      <td>26</td>\n",
       "      <td>0.019761</td>\n",
       "      <td>0.016469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>696031</th>\n",
       "      <td>0.111822</td>\n",
       "      <td>179.805893</td>\n",
       "      <td>176.773315</td>\n",
       "      <td>373.322815</td>\n",
       "      <td>11</td>\n",
       "      <td>0.017037</td>\n",
       "      <td>0.008327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>611262</th>\n",
       "      <td>0.060924</td>\n",
       "      <td>77.290184</td>\n",
       "      <td>64.635056</td>\n",
       "      <td>148.078384</td>\n",
       "      <td>31</td>\n",
       "      <td>0.005014</td>\n",
       "      <td>0.003526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106992</th>\n",
       "      <td>0.032264</td>\n",
       "      <td>55.543747</td>\n",
       "      <td>53.829002</td>\n",
       "      <td>113.869637</td>\n",
       "      <td>31</td>\n",
       "      <td>0.030717</td>\n",
       "      <td>0.031280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>802514</th>\n",
       "      <td>0.076775</td>\n",
       "      <td>86.059380</td>\n",
       "      <td>57.181171</td>\n",
       "      <td>157.845184</td>\n",
       "      <td>44</td>\n",
       "      <td>0.002613</td>\n",
       "      <td>0.002303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391423</th>\n",
       "      <td>0.052201</td>\n",
       "      <td>60.528744</td>\n",
       "      <td>55.078896</td>\n",
       "      <td>185.600433</td>\n",
       "      <td>22</td>\n",
       "      <td>0.000453</td>\n",
       "      <td>0.021551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>688733</th>\n",
       "      <td>0.128419</td>\n",
       "      <td>58.373783</td>\n",
       "      <td>54.912369</td>\n",
       "      <td>113.674355</td>\n",
       "      <td>41</td>\n",
       "      <td>0.028492</td>\n",
       "      <td>0.004507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>886189</th>\n",
       "      <td>0.057732</td>\n",
       "      <td>161.235641</td>\n",
       "      <td>74.589699</td>\n",
       "      <td>346.983032</td>\n",
       "      <td>44</td>\n",
       "      <td>0.023239</td>\n",
       "      <td>0.013150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>691408</th>\n",
       "      <td>0.034275</td>\n",
       "      <td>130.682037</td>\n",
       "      <td>118.225807</td>\n",
       "      <td>260.699371</td>\n",
       "      <td>21</td>\n",
       "      <td>0.008765</td>\n",
       "      <td>0.013409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324912</th>\n",
       "      <td>0.131820</td>\n",
       "      <td>89.605919</td>\n",
       "      <td>56.405697</td>\n",
       "      <td>142.455826</td>\n",
       "      <td>26</td>\n",
       "      <td>0.007472</td>\n",
       "      <td>0.010055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>772152</th>\n",
       "      <td>0.144773</td>\n",
       "      <td>62.603588</td>\n",
       "      <td>59.482822</td>\n",
       "      <td>119.939148</td>\n",
       "      <td>43</td>\n",
       "      <td>0.129574</td>\n",
       "      <td>0.002941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>880975</th>\n",
       "      <td>0.070004</td>\n",
       "      <td>53.478199</td>\n",
       "      <td>50.953472</td>\n",
       "      <td>127.471565</td>\n",
       "      <td>13</td>\n",
       "      <td>0.053329</td>\n",
       "      <td>0.017512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268202</th>\n",
       "      <td>0.058346</td>\n",
       "      <td>80.095032</td>\n",
       "      <td>78.756165</td>\n",
       "      <td>110.688187</td>\n",
       "      <td>43</td>\n",
       "      <td>0.524713</td>\n",
       "      <td>0.016752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279987</th>\n",
       "      <td>0.055246</td>\n",
       "      <td>152.154312</td>\n",
       "      <td>107.304909</td>\n",
       "      <td>277.146973</td>\n",
       "      <td>55</td>\n",
       "      <td>0.045927</td>\n",
       "      <td>0.005979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>570986</th>\n",
       "      <td>0.081157</td>\n",
       "      <td>127.501862</td>\n",
       "      <td>59.628468</td>\n",
       "      <td>175.610474</td>\n",
       "      <td>41</td>\n",
       "      <td>0.039325</td>\n",
       "      <td>0.008356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209081</th>\n",
       "      <td>0.093441</td>\n",
       "      <td>56.397987</td>\n",
       "      <td>56.323177</td>\n",
       "      <td>114.028046</td>\n",
       "      <td>148</td>\n",
       "      <td>0.060138</td>\n",
       "      <td>0.011827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>849779</th>\n",
       "      <td>0.043772</td>\n",
       "      <td>66.352394</td>\n",
       "      <td>63.255936</td>\n",
       "      <td>133.574814</td>\n",
       "      <td>0</td>\n",
       "      <td>0.006784</td>\n",
       "      <td>0.003146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259729</th>\n",
       "      <td>0.044686</td>\n",
       "      <td>58.287598</td>\n",
       "      <td>55.522141</td>\n",
       "      <td>112.617485</td>\n",
       "      <td>54</td>\n",
       "      <td>0.094387</td>\n",
       "      <td>0.002011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>985045</th>\n",
       "      <td>0.112134</td>\n",
       "      <td>81.308014</td>\n",
       "      <td>70.153923</td>\n",
       "      <td>156.555145</td>\n",
       "      <td>43</td>\n",
       "      <td>0.061234</td>\n",
       "      <td>0.053992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453130</th>\n",
       "      <td>0.036192</td>\n",
       "      <td>87.951279</td>\n",
       "      <td>73.014427</td>\n",
       "      <td>175.968185</td>\n",
       "      <td>46</td>\n",
       "      <td>0.101628</td>\n",
       "      <td>0.017203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>404383</th>\n",
       "      <td>0.056259</td>\n",
       "      <td>57.422287</td>\n",
       "      <td>51.902302</td>\n",
       "      <td>110.223114</td>\n",
       "      <td>8</td>\n",
       "      <td>0.023148</td>\n",
       "      <td>0.012060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314603</th>\n",
       "      <td>0.053570</td>\n",
       "      <td>54.190956</td>\n",
       "      <td>53.744457</td>\n",
       "      <td>124.760376</td>\n",
       "      <td>44</td>\n",
       "      <td>0.013444</td>\n",
       "      <td>0.001707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>581753</th>\n",
       "      <td>0.104368</td>\n",
       "      <td>72.634712</td>\n",
       "      <td>67.254753</td>\n",
       "      <td>151.956192</td>\n",
       "      <td>23</td>\n",
       "      <td>0.005123</td>\n",
       "      <td>0.028871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>374309</th>\n",
       "      <td>0.109612</td>\n",
       "      <td>57.515354</td>\n",
       "      <td>54.649673</td>\n",
       "      <td>118.889183</td>\n",
       "      <td>20</td>\n",
       "      <td>0.015889</td>\n",
       "      <td>0.001769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>610908</th>\n",
       "      <td>0.129623</td>\n",
       "      <td>57.883892</td>\n",
       "      <td>52.997364</td>\n",
       "      <td>114.206169</td>\n",
       "      <td>32</td>\n",
       "      <td>0.007144</td>\n",
       "      <td>0.009430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>798669</th>\n",
       "      <td>0.090571</td>\n",
       "      <td>63.174095</td>\n",
       "      <td>60.997307</td>\n",
       "      <td>162.957611</td>\n",
       "      <td>15</td>\n",
       "      <td>0.022131</td>\n",
       "      <td>0.008156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>621795</th>\n",
       "      <td>0.057606</td>\n",
       "      <td>58.692104</td>\n",
       "      <td>56.570683</td>\n",
       "      <td>115.162918</td>\n",
       "      <td>34</td>\n",
       "      <td>0.068015</td>\n",
       "      <td>0.030775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302356</th>\n",
       "      <td>0.056578</td>\n",
       "      <td>70.402641</td>\n",
       "      <td>67.570999</td>\n",
       "      <td>182.094681</td>\n",
       "      <td>64</td>\n",
       "      <td>0.138085</td>\n",
       "      <td>0.010085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>598627</th>\n",
       "      <td>0.030186</td>\n",
       "      <td>74.580475</td>\n",
       "      <td>63.320023</td>\n",
       "      <td>143.000015</td>\n",
       "      <td>34</td>\n",
       "      <td>0.007670</td>\n",
       "      <td>0.033473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267537</th>\n",
       "      <td>0.132208</td>\n",
       "      <td>72.785675</td>\n",
       "      <td>56.047287</td>\n",
       "      <td>189.348236</td>\n",
       "      <td>48</td>\n",
       "      <td>0.031511</td>\n",
       "      <td>0.024284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>669824</th>\n",
       "      <td>0.058422</td>\n",
       "      <td>133.122269</td>\n",
       "      <td>132.383560</td>\n",
       "      <td>268.185852</td>\n",
       "      <td>43</td>\n",
       "      <td>0.033716</td>\n",
       "      <td>0.006292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>720147</th>\n",
       "      <td>0.086677</td>\n",
       "      <td>81.142876</td>\n",
       "      <td>50.789921</td>\n",
       "      <td>111.958122</td>\n",
       "      <td>48</td>\n",
       "      <td>0.336816</td>\n",
       "      <td>0.004399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257968</th>\n",
       "      <td>0.043883</td>\n",
       "      <td>71.375046</td>\n",
       "      <td>64.411186</td>\n",
       "      <td>149.798233</td>\n",
       "      <td>33</td>\n",
       "      <td>0.011104</td>\n",
       "      <td>0.005628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>734099</th>\n",
       "      <td>0.049829</td>\n",
       "      <td>62.313606</td>\n",
       "      <td>61.544678</td>\n",
       "      <td>142.038971</td>\n",
       "      <td>19</td>\n",
       "      <td>0.004076</td>\n",
       "      <td>0.002685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>751856</th>\n",
       "      <td>0.048089</td>\n",
       "      <td>58.200661</td>\n",
       "      <td>56.887127</td>\n",
       "      <td>122.417961</td>\n",
       "      <td>62</td>\n",
       "      <td>0.033194</td>\n",
       "      <td>0.011940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>540248</th>\n",
       "      <td>0.089198</td>\n",
       "      <td>89.380058</td>\n",
       "      <td>85.731125</td>\n",
       "      <td>175.767700</td>\n",
       "      <td>12</td>\n",
       "      <td>0.010655</td>\n",
       "      <td>0.003610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73002</th>\n",
       "      <td>0.102904</td>\n",
       "      <td>62.721333</td>\n",
       "      <td>50.259708</td>\n",
       "      <td>117.121193</td>\n",
       "      <td>17</td>\n",
       "      <td>0.012910</td>\n",
       "      <td>0.017513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>850534</th>\n",
       "      <td>0.100084</td>\n",
       "      <td>74.004478</td>\n",
       "      <td>61.810322</td>\n",
       "      <td>149.254791</td>\n",
       "      <td>40</td>\n",
       "      <td>0.027820</td>\n",
       "      <td>0.027735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136084</th>\n",
       "      <td>0.119658</td>\n",
       "      <td>127.993942</td>\n",
       "      <td>126.055634</td>\n",
       "      <td>289.409119</td>\n",
       "      <td>31</td>\n",
       "      <td>0.003619</td>\n",
       "      <td>0.056116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241621</th>\n",
       "      <td>0.130220</td>\n",
       "      <td>58.820366</td>\n",
       "      <td>58.025265</td>\n",
       "      <td>118.980209</td>\n",
       "      <td>16</td>\n",
       "      <td>0.025874</td>\n",
       "      <td>0.056897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>773894</th>\n",
       "      <td>0.031864</td>\n",
       "      <td>52.976768</td>\n",
       "      <td>52.146614</td>\n",
       "      <td>110.405518</td>\n",
       "      <td>13</td>\n",
       "      <td>0.030078</td>\n",
       "      <td>0.024419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21672</th>\n",
       "      <td>0.069813</td>\n",
       "      <td>69.895012</td>\n",
       "      <td>62.738628</td>\n",
       "      <td>135.232941</td>\n",
       "      <td>41</td>\n",
       "      <td>0.016484</td>\n",
       "      <td>0.003366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20704</th>\n",
       "      <td>0.153774</td>\n",
       "      <td>131.127808</td>\n",
       "      <td>64.169449</td>\n",
       "      <td>192.563797</td>\n",
       "      <td>68</td>\n",
       "      <td>0.060852</td>\n",
       "      <td>0.062842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>652428</th>\n",
       "      <td>0.064172</td>\n",
       "      <td>103.270905</td>\n",
       "      <td>83.427658</td>\n",
       "      <td>320.275177</td>\n",
       "      <td>70</td>\n",
       "      <td>0.052244</td>\n",
       "      <td>0.012794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>979018</th>\n",
       "      <td>0.038250</td>\n",
       "      <td>104.117119</td>\n",
       "      <td>102.227440</td>\n",
       "      <td>206.803162</td>\n",
       "      <td>26</td>\n",
       "      <td>0.002366</td>\n",
       "      <td>0.005069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>843363</th>\n",
       "      <td>0.135826</td>\n",
       "      <td>77.915810</td>\n",
       "      <td>53.529037</td>\n",
       "      <td>132.175552</td>\n",
       "      <td>17</td>\n",
       "      <td>0.200030</td>\n",
       "      <td>0.085376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>830323</th>\n",
       "      <td>0.103114</td>\n",
       "      <td>66.701706</td>\n",
       "      <td>56.157280</td>\n",
       "      <td>174.470428</td>\n",
       "      <td>30</td>\n",
       "      <td>0.087240</td>\n",
       "      <td>0.022521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>846316</th>\n",
       "      <td>0.115722</td>\n",
       "      <td>53.494244</td>\n",
       "      <td>51.733570</td>\n",
       "      <td>110.168846</td>\n",
       "      <td>36</td>\n",
       "      <td>0.019658</td>\n",
       "      <td>0.009132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328291</th>\n",
       "      <td>0.116386</td>\n",
       "      <td>61.612213</td>\n",
       "      <td>53.822292</td>\n",
       "      <td>133.485321</td>\n",
       "      <td>31</td>\n",
       "      <td>0.049833</td>\n",
       "      <td>0.060302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298403</th>\n",
       "      <td>0.122655</td>\n",
       "      <td>63.236710</td>\n",
       "      <td>52.992012</td>\n",
       "      <td>117.545265</td>\n",
       "      <td>65</td>\n",
       "      <td>0.635022</td>\n",
       "      <td>0.003959</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>542188</th>\n",
       "      <td>0.078897</td>\n",
       "      <td>84.754425</td>\n",
       "      <td>68.356827</td>\n",
       "      <td>268.377960</td>\n",
       "      <td>53</td>\n",
       "      <td>0.306168</td>\n",
       "      <td>0.019608</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>730152</th>\n",
       "      <td>0.137315</td>\n",
       "      <td>79.444145</td>\n",
       "      <td>62.900360</td>\n",
       "      <td>116.277908</td>\n",
       "      <td>18</td>\n",
       "      <td>0.718522</td>\n",
       "      <td>0.002491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>752601</th>\n",
       "      <td>0.143729</td>\n",
       "      <td>78.692841</td>\n",
       "      <td>70.123016</td>\n",
       "      <td>148.038467</td>\n",
       "      <td>14</td>\n",
       "      <td>0.088726</td>\n",
       "      <td>0.033788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>951730</th>\n",
       "      <td>0.088775</td>\n",
       "      <td>52.196045</td>\n",
       "      <td>50.938454</td>\n",
       "      <td>175.094284</td>\n",
       "      <td>38</td>\n",
       "      <td>0.016173</td>\n",
       "      <td>0.007345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>616117</th>\n",
       "      <td>0.056440</td>\n",
       "      <td>55.585285</td>\n",
       "      <td>54.384445</td>\n",
       "      <td>115.228600</td>\n",
       "      <td>58</td>\n",
       "      <td>0.058237</td>\n",
       "      <td>0.004419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>852799</th>\n",
       "      <td>0.049077</td>\n",
       "      <td>81.390587</td>\n",
       "      <td>53.770752</td>\n",
       "      <td>165.612747</td>\n",
       "      <td>32</td>\n",
       "      <td>0.028656</td>\n",
       "      <td>0.023964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65875</th>\n",
       "      <td>0.084702</td>\n",
       "      <td>68.958374</td>\n",
       "      <td>62.238953</td>\n",
       "      <td>130.637100</td>\n",
       "      <td>59</td>\n",
       "      <td>0.068906</td>\n",
       "      <td>0.074483</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>727796 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Xi     Muon0Pt     Muon1Pt     InvMass  ExtraPfCands     Acopl  \\\n",
       "584610  0.057389   72.875313   55.133251  139.115662            18  0.107399   \n",
       "305145  0.043718  110.621307  105.858086  239.736038            41  0.105640   \n",
       "665428  0.096003  248.045914  129.451035  247.146591            13  0.552615   \n",
       "988550  0.120712  154.062881   99.193192  416.161377            26  0.019761   \n",
       "696031  0.111822  179.805893  176.773315  373.322815            11  0.017037   \n",
       "611262  0.060924   77.290184   64.635056  148.078384            31  0.005014   \n",
       "106992  0.032264   55.543747   53.829002  113.869637            31  0.030717   \n",
       "802514  0.076775   86.059380   57.181171  157.845184            44  0.002613   \n",
       "391423  0.052201   60.528744   55.078896  185.600433            22  0.000453   \n",
       "688733  0.128419   58.373783   54.912369  113.674355            41  0.028492   \n",
       "886189  0.057732  161.235641   74.589699  346.983032            44  0.023239   \n",
       "691408  0.034275  130.682037  118.225807  260.699371            21  0.008765   \n",
       "324912  0.131820   89.605919   56.405697  142.455826            26  0.007472   \n",
       "772152  0.144773   62.603588   59.482822  119.939148            43  0.129574   \n",
       "880975  0.070004   53.478199   50.953472  127.471565            13  0.053329   \n",
       "268202  0.058346   80.095032   78.756165  110.688187            43  0.524713   \n",
       "279987  0.055246  152.154312  107.304909  277.146973            55  0.045927   \n",
       "570986  0.081157  127.501862   59.628468  175.610474            41  0.039325   \n",
       "209081  0.093441   56.397987   56.323177  114.028046           148  0.060138   \n",
       "849779  0.043772   66.352394   63.255936  133.574814             0  0.006784   \n",
       "259729  0.044686   58.287598   55.522141  112.617485            54  0.094387   \n",
       "985045  0.112134   81.308014   70.153923  156.555145            43  0.061234   \n",
       "453130  0.036192   87.951279   73.014427  175.968185            46  0.101628   \n",
       "404383  0.056259   57.422287   51.902302  110.223114             8  0.023148   \n",
       "314603  0.053570   54.190956   53.744457  124.760376            44  0.013444   \n",
       "581753  0.104368   72.634712   67.254753  151.956192            23  0.005123   \n",
       "374309  0.109612   57.515354   54.649673  118.889183            20  0.015889   \n",
       "610908  0.129623   57.883892   52.997364  114.206169            32  0.007144   \n",
       "798669  0.090571   63.174095   60.997307  162.957611            15  0.022131   \n",
       "621795  0.057606   58.692104   56.570683  115.162918            34  0.068015   \n",
       "...          ...         ...         ...         ...           ...       ...   \n",
       "302356  0.056578   70.402641   67.570999  182.094681            64  0.138085   \n",
       "598627  0.030186   74.580475   63.320023  143.000015            34  0.007670   \n",
       "267537  0.132208   72.785675   56.047287  189.348236            48  0.031511   \n",
       "669824  0.058422  133.122269  132.383560  268.185852            43  0.033716   \n",
       "720147  0.086677   81.142876   50.789921  111.958122            48  0.336816   \n",
       "257968  0.043883   71.375046   64.411186  149.798233            33  0.011104   \n",
       "734099  0.049829   62.313606   61.544678  142.038971            19  0.004076   \n",
       "751856  0.048089   58.200661   56.887127  122.417961            62  0.033194   \n",
       "540248  0.089198   89.380058   85.731125  175.767700            12  0.010655   \n",
       "73002   0.102904   62.721333   50.259708  117.121193            17  0.012910   \n",
       "850534  0.100084   74.004478   61.810322  149.254791            40  0.027820   \n",
       "136084  0.119658  127.993942  126.055634  289.409119            31  0.003619   \n",
       "241621  0.130220   58.820366   58.025265  118.980209            16  0.025874   \n",
       "773894  0.031864   52.976768   52.146614  110.405518            13  0.030078   \n",
       "21672   0.069813   69.895012   62.738628  135.232941            41  0.016484   \n",
       "20704   0.153774  131.127808   64.169449  192.563797            68  0.060852   \n",
       "652428  0.064172  103.270905   83.427658  320.275177            70  0.052244   \n",
       "979018  0.038250  104.117119  102.227440  206.803162            26  0.002366   \n",
       "843363  0.135826   77.915810   53.529037  132.175552            17  0.200030   \n",
       "830323  0.103114   66.701706   56.157280  174.470428            30  0.087240   \n",
       "846316  0.115722   53.494244   51.733570  110.168846            36  0.019658   \n",
       "328291  0.116386   61.612213   53.822292  133.485321            31  0.049833   \n",
       "298403  0.122655   63.236710   52.992012  117.545265            65  0.635022   \n",
       "542188  0.078897   84.754425   68.356827  268.377960            53  0.306168   \n",
       "730152  0.137315   79.444145   62.900360  116.277908            18  0.718522   \n",
       "752601  0.143729   78.692841   70.123016  148.038467            14  0.088726   \n",
       "951730  0.088775   52.196045   50.938454  175.094284            38  0.016173   \n",
       "616117  0.056440   55.585285   54.384445  115.228600            58  0.058237   \n",
       "852799  0.049077   81.390587   53.770752  165.612747            32  0.028656   \n",
       "65875   0.084702   68.958374   62.238953  130.637100            59  0.068906   \n",
       "\n",
       "          XiMuMu  \n",
       "584610  0.018423  \n",
       "305145  0.051889  \n",
       "665428  0.006062  \n",
       "988550  0.016469  \n",
       "696031  0.008327  \n",
       "611262  0.003526  \n",
       "106992  0.031280  \n",
       "802514  0.002303  \n",
       "391423  0.021551  \n",
       "688733  0.004507  \n",
       "886189  0.013150  \n",
       "691408  0.013409  \n",
       "324912  0.010055  \n",
       "772152  0.002941  \n",
       "880975  0.017512  \n",
       "268202  0.016752  \n",
       "279987  0.005979  \n",
       "570986  0.008356  \n",
       "209081  0.011827  \n",
       "849779  0.003146  \n",
       "259729  0.002011  \n",
       "985045  0.053992  \n",
       "453130  0.017203  \n",
       "404383  0.012060  \n",
       "314603  0.001707  \n",
       "581753  0.028871  \n",
       "374309  0.001769  \n",
       "610908  0.009430  \n",
       "798669  0.008156  \n",
       "621795  0.030775  \n",
       "...          ...  \n",
       "302356  0.010085  \n",
       "598627  0.033473  \n",
       "267537  0.024284  \n",
       "669824  0.006292  \n",
       "720147  0.004399  \n",
       "257968  0.005628  \n",
       "734099  0.002685  \n",
       "751856  0.011940  \n",
       "540248  0.003610  \n",
       "73002   0.017513  \n",
       "850534  0.027735  \n",
       "136084  0.056116  \n",
       "241621  0.056897  \n",
       "773894  0.024419  \n",
       "21672   0.003366  \n",
       "20704   0.062842  \n",
       "652428  0.012794  \n",
       "979018  0.005069  \n",
       "843363  0.085376  \n",
       "830323  0.022521  \n",
       "846316  0.009132  \n",
       "328291  0.060302  \n",
       "298403  0.003959  \n",
       "542188  0.019608  \n",
       "730152  0.002491  \n",
       "752601  0.033788  \n",
       "951730  0.007345  \n",
       "616117  0.004419  \n",
       "852799  0.023964  \n",
       "65875   0.074483  \n",
       "\n",
       "[727796 rows x 7 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_bkg_train = df_bkg_train[ ['Xi', 'Muon0Pt', 'Muon1Pt', 'InvMass', 'ExtraPfCands', 'Acopl', 'XiMuMu'] ]\n",
    "X_bkg_test = df_bkg_test[ ['Xi', 'Muon0Pt', 'Muon1Pt', 'InvMass', 'ExtraPfCands', 'Acopl', 'XiMuMu'] ]\n",
    "X_bkg_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# from sklearn.model_selection import train_test_split\n",
    "# X_train, X_test, y_train, y_test = train_test_split( X, y, test_size=0.2, shuffle=True, random_state=42 )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_ = pd.concat( [X_sig_train, X_bkg_train] ) \n",
    "y_ = np.concatenate( [y_sig_train, y_bkg_train] )\n",
    "\n",
    "X_train, X_valid, y_train, y_valid = train_test_split( X_, y_, test_size=0.10, shuffle=True, random_state=42 )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Xi</th>\n",
       "      <th>Muon0Pt</th>\n",
       "      <th>Muon1Pt</th>\n",
       "      <th>InvMass</th>\n",
       "      <th>ExtraPfCands</th>\n",
       "      <th>Acopl</th>\n",
       "      <th>XiMuMu</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>741275</th>\n",
       "      <td>0.078683</td>\n",
       "      <td>57.636303</td>\n",
       "      <td>51.554951</td>\n",
       "      <td>124.287964</td>\n",
       "      <td>21</td>\n",
       "      <td>0.053607</td>\n",
       "      <td>0.016544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>585259</th>\n",
       "      <td>0.102040</td>\n",
       "      <td>67.292381</td>\n",
       "      <td>65.995605</td>\n",
       "      <td>137.128799</td>\n",
       "      <td>53</td>\n",
       "      <td>0.058774</td>\n",
       "      <td>0.006110</td>\n",
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       "    <tr>\n",
       "      <th>511724</th>\n",
       "      <td>0.092966</td>\n",
       "      <td>66.782806</td>\n",
       "      <td>64.257668</td>\n",
       "      <td>132.336166</td>\n",
       "      <td>19</td>\n",
       "      <td>0.023437</td>\n",
       "      <td>0.005671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>707438</th>\n",
       "      <td>0.040225</td>\n",
       "      <td>66.812828</td>\n",
       "      <td>63.646507</td>\n",
       "      <td>153.440033</td>\n",
       "      <td>17</td>\n",
       "      <td>0.026346</td>\n",
       "      <td>0.036175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235209</th>\n",
       "      <td>0.059599</td>\n",
       "      <td>54.942883</td>\n",
       "      <td>53.703773</td>\n",
       "      <td>117.774078</td>\n",
       "      <td>46</td>\n",
       "      <td>0.001449</td>\n",
       "      <td>0.022008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>891360</th>\n",
       "      <td>0.090655</td>\n",
       "      <td>94.874901</td>\n",
       "      <td>50.292301</td>\n",
       "      <td>117.757858</td>\n",
       "      <td>54</td>\n",
       "      <td>0.401966</td>\n",
       "      <td>0.005555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213676</th>\n",
       "      <td>0.055078</td>\n",
       "      <td>127.696388</td>\n",
       "      <td>98.236435</td>\n",
       "      <td>224.254562</td>\n",
       "      <td>54</td>\n",
       "      <td>0.023068</td>\n",
       "      <td>0.022884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185192</th>\n",
       "      <td>0.065648</td>\n",
       "      <td>70.065590</td>\n",
       "      <td>57.053913</td>\n",
       "      <td>124.911552</td>\n",
       "      <td>28</td>\n",
       "      <td>0.103608</td>\n",
       "      <td>0.016202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319727</th>\n",
       "      <td>0.085084</td>\n",
       "      <td>103.346794</td>\n",
       "      <td>74.958870</td>\n",
       "      <td>173.996933</td>\n",
       "      <td>27</td>\n",
       "      <td>0.115510</td>\n",
       "      <td>0.023727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271235</th>\n",
       "      <td>0.041693</td>\n",
       "      <td>86.132011</td>\n",
       "      <td>75.323837</td>\n",
       "      <td>183.717041</td>\n",
       "      <td>40</td>\n",
       "      <td>0.081093</td>\n",
       "      <td>0.051138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166333</th>\n",
       "      <td>0.115510</td>\n",
       "      <td>136.927109</td>\n",
       "      <td>65.932983</td>\n",
       "      <td>151.255081</td>\n",
       "      <td>35</td>\n",
       "      <td>0.576694</td>\n",
       "      <td>0.053013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177619</th>\n",
       "      <td>0.059352</td>\n",
       "      <td>59.416389</td>\n",
       "      <td>55.877190</td>\n",
       "      <td>127.960991</td>\n",
       "      <td>39</td>\n",
       "      <td>0.016229</td>\n",
       "      <td>0.010228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208564</th>\n",
       "      <td>0.078608</td>\n",
       "      <td>59.403549</td>\n",
       "      <td>53.726151</td>\n",
       "      <td>112.999596</td>\n",
       "      <td>30</td>\n",
       "      <td>0.002412</td>\n",
       "      <td>0.020010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121483</th>\n",
       "      <td>0.067393</td>\n",
       "      <td>60.715961</td>\n",
       "      <td>56.637062</td>\n",
       "      <td>126.010185</td>\n",
       "      <td>23</td>\n",
       "      <td>0.031656</td>\n",
       "      <td>0.010044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46852</th>\n",
       "      <td>0.053758</td>\n",
       "      <td>83.550629</td>\n",
       "      <td>79.752693</td>\n",
       "      <td>127.039536</td>\n",
       "      <td>58</td>\n",
       "      <td>0.462533</td>\n",
       "      <td>0.005183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>622471</th>\n",
       "      <td>0.062362</td>\n",
       "      <td>67.862778</td>\n",
       "      <td>50.879021</td>\n",
       "      <td>136.690247</td>\n",
       "      <td>62</td>\n",
       "      <td>0.102632</td>\n",
       "      <td>0.011385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33226</th>\n",
       "      <td>0.059834</td>\n",
       "      <td>107.830620</td>\n",
       "      <td>79.315033</td>\n",
       "      <td>186.201019</td>\n",
       "      <td>27</td>\n",
       "      <td>0.502507</td>\n",
       "      <td>0.043290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>585963</th>\n",
       "      <td>0.132048</td>\n",
       "      <td>124.063385</td>\n",
       "      <td>101.271927</td>\n",
       "      <td>259.232178</td>\n",
       "      <td>26</td>\n",
       "      <td>0.038504</td>\n",
       "      <td>0.052428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271430</th>\n",
       "      <td>0.093217</td>\n",
       "      <td>184.238037</td>\n",
       "      <td>73.831482</td>\n",
       "      <td>248.812225</td>\n",
       "      <td>65</td>\n",
       "      <td>0.037249</td>\n",
       "      <td>0.013467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247666</th>\n",
       "      <td>0.033244</td>\n",
       "      <td>62.652832</td>\n",
       "      <td>56.444767</td>\n",
       "      <td>136.469437</td>\n",
       "      <td>53</td>\n",
       "      <td>0.027668</td>\n",
       "      <td>0.002239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>749014</th>\n",
       "      <td>0.084765</td>\n",
       "      <td>78.691292</td>\n",
       "      <td>52.811741</td>\n",
       "      <td>128.854202</td>\n",
       "      <td>42</td>\n",
       "      <td>0.108104</td>\n",
       "      <td>0.002219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>466700</th>\n",
       "      <td>0.101734</td>\n",
       "      <td>99.978485</td>\n",
       "      <td>56.458992</td>\n",
       "      <td>153.777710</td>\n",
       "      <td>55</td>\n",
       "      <td>0.052655</td>\n",
       "      <td>0.011842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>441986</th>\n",
       "      <td>0.067845</td>\n",
       "      <td>58.262039</td>\n",
       "      <td>56.800407</td>\n",
       "      <td>114.555542</td>\n",
       "      <td>70</td>\n",
       "      <td>0.073037</td>\n",
       "      <td>0.012259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214608</th>\n",
       "      <td>0.098155</td>\n",
       "      <td>80.648224</td>\n",
       "      <td>50.015190</td>\n",
       "      <td>121.770996</td>\n",
       "      <td>93</td>\n",
       "      <td>0.259463</td>\n",
       "      <td>0.019788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235421</th>\n",
       "      <td>0.136074</td>\n",
       "      <td>72.929382</td>\n",
       "      <td>68.096375</td>\n",
       "      <td>151.998245</td>\n",
       "      <td>11</td>\n",
       "      <td>0.014880</td>\n",
       "      <td>0.001903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279818</th>\n",
       "      <td>0.106229</td>\n",
       "      <td>84.434891</td>\n",
       "      <td>50.471352</td>\n",
       "      <td>166.918686</td>\n",
       "      <td>45</td>\n",
       "      <td>0.003859</td>\n",
       "      <td>0.010289</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564118</th>\n",
       "      <td>0.064594</td>\n",
       "      <td>89.917847</td>\n",
       "      <td>60.480846</td>\n",
       "      <td>125.680458</td>\n",
       "      <td>72</td>\n",
       "      <td>0.451248</td>\n",
       "      <td>0.045182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>576315</th>\n",
       "      <td>0.115116</td>\n",
       "      <td>52.799931</td>\n",
       "      <td>50.869125</td>\n",
       "      <td>123.632797</td>\n",
       "      <td>52</td>\n",
       "      <td>0.040111</td>\n",
       "      <td>0.004302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>808927</th>\n",
       "      <td>0.036597</td>\n",
       "      <td>57.219830</td>\n",
       "      <td>53.143127</td>\n",
       "      <td>111.032074</td>\n",
       "      <td>9</td>\n",
       "      <td>0.012672</td>\n",
       "      <td>0.014391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>672257</th>\n",
       "      <td>0.040276</td>\n",
       "      <td>81.121780</td>\n",
       "      <td>67.469002</td>\n",
       "      <td>147.961868</td>\n",
       "      <td>11</td>\n",
       "      <td>0.050924</td>\n",
       "      <td>0.001272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>395093</th>\n",
       "      <td>0.080379</td>\n",
       "      <td>62.391781</td>\n",
       "      <td>54.175468</td>\n",
       "      <td>122.175301</td>\n",
       "      <td>20</td>\n",
       "      <td>0.110992</td>\n",
       "      <td>0.001739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77861</th>\n",
       "      <td>0.101927</td>\n",
       "      <td>175.326706</td>\n",
       "      <td>89.322876</td>\n",
       "      <td>246.800156</td>\n",
       "      <td>49</td>\n",
       "      <td>0.106880</td>\n",
       "      <td>0.032999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85072</th>\n",
       "      <td>0.040111</td>\n",
       "      <td>80.706688</td>\n",
       "      <td>59.681057</td>\n",
       "      <td>124.675758</td>\n",
       "      <td>44</td>\n",
       "      <td>0.311676</td>\n",
       "      <td>0.005309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109273</th>\n",
       "      <td>0.086498</td>\n",
       "      <td>68.417206</td>\n",
       "      <td>58.299053</td>\n",
       "      <td>129.442825</td>\n",
       "      <td>34</td>\n",
       "      <td>0.049116</td>\n",
       "      <td>0.027512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81122</th>\n",
       "      <td>0.088747</td>\n",
       "      <td>70.753838</td>\n",
       "      <td>60.108784</td>\n",
       "      <td>153.268677</td>\n",
       "      <td>43</td>\n",
       "      <td>0.117948</td>\n",
       "      <td>0.009650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>820776</th>\n",
       "      <td>0.045395</td>\n",
       "      <td>89.744095</td>\n",
       "      <td>72.114731</td>\n",
       "      <td>111.919907</td>\n",
       "      <td>30</td>\n",
       "      <td>0.511768</td>\n",
       "      <td>0.012344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>931914</th>\n",
       "      <td>0.088806</td>\n",
       "      <td>94.278008</td>\n",
       "      <td>58.076111</td>\n",
       "      <td>110.222466</td>\n",
       "      <td>30</td>\n",
       "      <td>0.465103</td>\n",
       "      <td>0.051661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>680889</th>\n",
       "      <td>0.068103</td>\n",
       "      <td>57.918884</td>\n",
       "      <td>54.148697</td>\n",
       "      <td>116.306602</td>\n",
       "      <td>7</td>\n",
       "      <td>0.004876</td>\n",
       "      <td>0.047065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>571506</th>\n",
       "      <td>0.049335</td>\n",
       "      <td>93.279861</td>\n",
       "      <td>51.348362</td>\n",
       "      <td>133.309006</td>\n",
       "      <td>30</td>\n",
       "      <td>0.216906</td>\n",
       "      <td>0.002990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>361988</th>\n",
       "      <td>0.117757</td>\n",
       "      <td>53.339649</td>\n",
       "      <td>51.651325</td>\n",
       "      <td>120.926796</td>\n",
       "      <td>67</td>\n",
       "      <td>0.032349</td>\n",
       "      <td>0.023163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241071</th>\n",
       "      <td>0.106416</td>\n",
       "      <td>58.684364</td>\n",
       "      <td>50.160690</td>\n",
       "      <td>126.869370</td>\n",
       "      <td>65</td>\n",
       "      <td>0.001296</td>\n",
       "      <td>0.048059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>740766</th>\n",
       "      <td>0.071169</td>\n",
       "      <td>109.198471</td>\n",
       "      <td>74.405174</td>\n",
       "      <td>180.109863</td>\n",
       "      <td>42</td>\n",
       "      <td>0.030307</td>\n",
       "      <td>0.002655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16583</th>\n",
       "      <td>0.066231</td>\n",
       "      <td>57.121727</td>\n",
       "      <td>54.949032</td>\n",
       "      <td>124.041679</td>\n",
       "      <td>44</td>\n",
       "      <td>0.058460</td>\n",
       "      <td>0.003237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>658918</th>\n",
       "      <td>0.061177</td>\n",
       "      <td>61.048836</td>\n",
       "      <td>51.704250</td>\n",
       "      <td>128.824753</td>\n",
       "      <td>67</td>\n",
       "      <td>0.032079</td>\n",
       "      <td>0.002508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150338</th>\n",
       "      <td>0.051313</td>\n",
       "      <td>103.158318</td>\n",
       "      <td>64.727562</td>\n",
       "      <td>168.444794</td>\n",
       "      <td>47</td>\n",
       "      <td>0.014095</td>\n",
       "      <td>0.009335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67747</th>\n",
       "      <td>0.065983</td>\n",
       "      <td>83.459114</td>\n",
       "      <td>51.876377</td>\n",
       "      <td>128.671799</td>\n",
       "      <td>27</td>\n",
       "      <td>0.148815</td>\n",
       "      <td>0.010421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97612</th>\n",
       "      <td>0.060297</td>\n",
       "      <td>74.579071</td>\n",
       "      <td>64.873665</td>\n",
       "      <td>152.713699</td>\n",
       "      <td>51</td>\n",
       "      <td>0.021650</td>\n",
       "      <td>0.006940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69354</th>\n",
       "      <td>0.065957</td>\n",
       "      <td>73.315994</td>\n",
       "      <td>58.459831</td>\n",
       "      <td>140.587616</td>\n",
       "      <td>52</td>\n",
       "      <td>0.064691</td>\n",
       "      <td>0.006348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>663151</th>\n",
       "      <td>0.041024</td>\n",
       "      <td>81.709534</td>\n",
       "      <td>74.466881</td>\n",
       "      <td>163.764999</td>\n",
       "      <td>7</td>\n",
       "      <td>0.036721</td>\n",
       "      <td>0.053592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186954</th>\n",
       "      <td>0.093129</td>\n",
       "      <td>66.761314</td>\n",
       "      <td>66.005836</td>\n",
       "      <td>135.211182</td>\n",
       "      <td>79</td>\n",
       "      <td>0.080319</td>\n",
       "      <td>0.017965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>926948</th>\n",
       "      <td>0.040808</td>\n",
       "      <td>58.787628</td>\n",
       "      <td>53.127609</td>\n",
       "      <td>120.098770</td>\n",
       "      <td>61</td>\n",
       "      <td>0.047337</td>\n",
       "      <td>0.005472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>357796</th>\n",
       "      <td>0.096420</td>\n",
       "      <td>101.990410</td>\n",
       "      <td>90.084496</td>\n",
       "      <td>262.006165</td>\n",
       "      <td>37</td>\n",
       "      <td>0.031695</td>\n",
       "      <td>0.047936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>657240</th>\n",
       "      <td>0.046768</td>\n",
       "      <td>73.814926</td>\n",
       "      <td>68.046143</td>\n",
       "      <td>139.253616</td>\n",
       "      <td>56</td>\n",
       "      <td>0.119784</td>\n",
       "      <td>0.008516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600455</th>\n",
       "      <td>0.118493</td>\n",
       "      <td>69.064934</td>\n",
       "      <td>68.758072</td>\n",
       "      <td>141.082611</td>\n",
       "      <td>11</td>\n",
       "      <td>0.012769</td>\n",
       "      <td>0.002058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>631764</th>\n",
       "      <td>0.148850</td>\n",
       "      <td>174.391617</td>\n",
       "      <td>57.141777</td>\n",
       "      <td>216.980591</td>\n",
       "      <td>54</td>\n",
       "      <td>0.039650</td>\n",
       "      <td>0.011259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>424451</th>\n",
       "      <td>0.116456</td>\n",
       "      <td>470.040649</td>\n",
       "      <td>421.183868</td>\n",
       "      <td>912.406799</td>\n",
       "      <td>26</td>\n",
       "      <td>0.000130</td>\n",
       "      <td>0.057543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>677832</th>\n",
       "      <td>0.123265</td>\n",
       "      <td>68.281303</td>\n",
       "      <td>61.058746</td>\n",
       "      <td>130.509949</td>\n",
       "      <td>28</td>\n",
       "      <td>0.004136</td>\n",
       "      <td>0.036068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277756</th>\n",
       "      <td>0.055800</td>\n",
       "      <td>58.482643</td>\n",
       "      <td>52.764305</td>\n",
       "      <td>110.690910</td>\n",
       "      <td>21</td>\n",
       "      <td>0.089106</td>\n",
       "      <td>0.002946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>388447</th>\n",
       "      <td>0.104385</td>\n",
       "      <td>59.622902</td>\n",
       "      <td>58.166660</td>\n",
       "      <td>137.540710</td>\n",
       "      <td>7</td>\n",
       "      <td>0.052289</td>\n",
       "      <td>0.039359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77300</th>\n",
       "      <td>0.092939</td>\n",
       "      <td>89.483521</td>\n",
       "      <td>60.038048</td>\n",
       "      <td>254.885406</td>\n",
       "      <td>74</td>\n",
       "      <td>0.112800</td>\n",
       "      <td>0.019484</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>680963 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Xi     Muon0Pt     Muon1Pt     InvMass  ExtraPfCands     Acopl  \\\n",
       "741275  0.078683   57.636303   51.554951  124.287964            21  0.053607   \n",
       "585259  0.102040   67.292381   65.995605  137.128799            53  0.058774   \n",
       "511724  0.092966   66.782806   64.257668  132.336166            19  0.023437   \n",
       "707438  0.040225   66.812828   63.646507  153.440033            17  0.026346   \n",
       "235209  0.059599   54.942883   53.703773  117.774078            46  0.001449   \n",
       "891360  0.090655   94.874901   50.292301  117.757858            54  0.401966   \n",
       "213676  0.055078  127.696388   98.236435  224.254562            54  0.023068   \n",
       "185192  0.065648   70.065590   57.053913  124.911552            28  0.103608   \n",
       "319727  0.085084  103.346794   74.958870  173.996933            27  0.115510   \n",
       "271235  0.041693   86.132011   75.323837  183.717041            40  0.081093   \n",
       "166333  0.115510  136.927109   65.932983  151.255081            35  0.576694   \n",
       "177619  0.059352   59.416389   55.877190  127.960991            39  0.016229   \n",
       "208564  0.078608   59.403549   53.726151  112.999596            30  0.002412   \n",
       "121483  0.067393   60.715961   56.637062  126.010185            23  0.031656   \n",
       "46852   0.053758   83.550629   79.752693  127.039536            58  0.462533   \n",
       "622471  0.062362   67.862778   50.879021  136.690247            62  0.102632   \n",
       "33226   0.059834  107.830620   79.315033  186.201019            27  0.502507   \n",
       "585963  0.132048  124.063385  101.271927  259.232178            26  0.038504   \n",
       "271430  0.093217  184.238037   73.831482  248.812225            65  0.037249   \n",
       "247666  0.033244   62.652832   56.444767  136.469437            53  0.027668   \n",
       "749014  0.084765   78.691292   52.811741  128.854202            42  0.108104   \n",
       "466700  0.101734   99.978485   56.458992  153.777710            55  0.052655   \n",
       "441986  0.067845   58.262039   56.800407  114.555542            70  0.073037   \n",
       "214608  0.098155   80.648224   50.015190  121.770996            93  0.259463   \n",
       "235421  0.136074   72.929382   68.096375  151.998245            11  0.014880   \n",
       "279818  0.106229   84.434891   50.471352  166.918686            45  0.003859   \n",
       "564118  0.064594   89.917847   60.480846  125.680458            72  0.451248   \n",
       "576315  0.115116   52.799931   50.869125  123.632797            52  0.040111   \n",
       "808927  0.036597   57.219830   53.143127  111.032074             9  0.012672   \n",
       "672257  0.040276   81.121780   67.469002  147.961868            11  0.050924   \n",
       "...          ...         ...         ...         ...           ...       ...   \n",
       "395093  0.080379   62.391781   54.175468  122.175301            20  0.110992   \n",
       "77861   0.101927  175.326706   89.322876  246.800156            49  0.106880   \n",
       "85072   0.040111   80.706688   59.681057  124.675758            44  0.311676   \n",
       "109273  0.086498   68.417206   58.299053  129.442825            34  0.049116   \n",
       "81122   0.088747   70.753838   60.108784  153.268677            43  0.117948   \n",
       "820776  0.045395   89.744095   72.114731  111.919907            30  0.511768   \n",
       "931914  0.088806   94.278008   58.076111  110.222466            30  0.465103   \n",
       "680889  0.068103   57.918884   54.148697  116.306602             7  0.004876   \n",
       "571506  0.049335   93.279861   51.348362  133.309006            30  0.216906   \n",
       "361988  0.117757   53.339649   51.651325  120.926796            67  0.032349   \n",
       "241071  0.106416   58.684364   50.160690  126.869370            65  0.001296   \n",
       "740766  0.071169  109.198471   74.405174  180.109863            42  0.030307   \n",
       "16583   0.066231   57.121727   54.949032  124.041679            44  0.058460   \n",
       "658918  0.061177   61.048836   51.704250  128.824753            67  0.032079   \n",
       "150338  0.051313  103.158318   64.727562  168.444794            47  0.014095   \n",
       "67747   0.065983   83.459114   51.876377  128.671799            27  0.148815   \n",
       "97612   0.060297   74.579071   64.873665  152.713699            51  0.021650   \n",
       "69354   0.065957   73.315994   58.459831  140.587616            52  0.064691   \n",
       "663151  0.041024   81.709534   74.466881  163.764999             7  0.036721   \n",
       "186954  0.093129   66.761314   66.005836  135.211182            79  0.080319   \n",
       "926948  0.040808   58.787628   53.127609  120.098770            61  0.047337   \n",
       "357796  0.096420  101.990410   90.084496  262.006165            37  0.031695   \n",
       "657240  0.046768   73.814926   68.046143  139.253616            56  0.119784   \n",
       "600455  0.118493   69.064934   68.758072  141.082611            11  0.012769   \n",
       "631764  0.148850  174.391617   57.141777  216.980591            54  0.039650   \n",
       "424451  0.116456  470.040649  421.183868  912.406799            26  0.000130   \n",
       "677832  0.123265   68.281303   61.058746  130.509949            28  0.004136   \n",
       "277756  0.055800   58.482643   52.764305  110.690910            21  0.089106   \n",
       "388447  0.104385   59.622902   58.166660  137.540710             7  0.052289   \n",
       "77300   0.092939   89.483521   60.038048  254.885406            74  0.112800   \n",
       "\n",
       "          XiMuMu  \n",
       "741275  0.016544  \n",
       "585259  0.006110  \n",
       "511724  0.005671  \n",
       "707438  0.036175  \n",
       "235209  0.022008  \n",
       "891360  0.005555  \n",
       "213676  0.022884  \n",
       "185192  0.016202  \n",
       "319727  0.023727  \n",
       "271235  0.051138  \n",
       "166333  0.053013  \n",
       "177619  0.010228  \n",
       "208564  0.020010  \n",
       "121483  0.010044  \n",
       "46852   0.005183  \n",
       "622471  0.011385  \n",
       "33226   0.043290  \n",
       "585963  0.052428  \n",
       "271430  0.013467  \n",
       "247666  0.002239  \n",
       "749014  0.002219  \n",
       "466700  0.011842  \n",
       "441986  0.012259  \n",
       "214608  0.019788  \n",
       "235421  0.001903  \n",
       "279818  0.010289  \n",
       "564118  0.045182  \n",
       "576315  0.004302  \n",
       "808927  0.014391  \n",
       "672257  0.001272  \n",
       "...          ...  \n",
       "395093  0.001739  \n",
       "77861   0.032999  \n",
       "85072   0.005309  \n",
       "109273  0.027512  \n",
       "81122   0.009650  \n",
       "820776  0.012344  \n",
       "931914  0.051661  \n",
       "680889  0.047065  \n",
       "571506  0.002990  \n",
       "361988  0.023163  \n",
       "241071  0.048059  \n",
       "740766  0.002655  \n",
       "16583   0.003237  \n",
       "658918  0.002508  \n",
       "150338  0.009335  \n",
       "67747   0.010421  \n",
       "97612   0.006940  \n",
       "69354   0.006348  \n",
       "663151  0.053592  \n",
       "186954  0.017965  \n",
       "926948  0.005472  \n",
       "357796  0.047936  \n",
       "657240  0.008516  \n",
       "600455  0.002058  \n",
       "631764  0.011259  \n",
       "424451  0.057543  \n",
       "677832  0.036068  \n",
       "277756  0.002946  \n",
       "388447  0.039359  \n",
       "77300   0.019484  \n",
       "\n",
       "[680963 rows x 7 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_test = pd.concat( [X_sig_test, X_bkg_test] ) \n",
    "y_test = np.concatenate( [y_sig_test, y_bkg_test] )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Xi</th>\n",
       "      <th>Muon0Pt</th>\n",
       "      <th>Muon1Pt</th>\n",
       "      <th>InvMass</th>\n",
       "      <th>ExtraPfCands</th>\n",
       "      <th>Acopl</th>\n",
       "      <th>XiMuMu</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>99234</th>\n",
       "      <td>0.076666</td>\n",
       "      <td>299.772003</td>\n",
       "      <td>293.133179</td>\n",
       "      <td>783.843018</td>\n",
       "      <td>3</td>\n",
       "      <td>8.626284e-07</td>\n",
       "      <td>0.077529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140279</th>\n",
       "      <td>0.041093</td>\n",
       "      <td>141.848022</td>\n",
       "      <td>139.301285</td>\n",
       "      <td>400.948456</td>\n",
       "      <td>12</td>\n",
       "      <td>5.804421e-04</td>\n",
       "      <td>0.042499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190165</th>\n",
       "      <td>0.055388</td>\n",
       "      <td>84.725891</td>\n",
       "      <td>83.376411</td>\n",
       "      <td>223.688828</td>\n",
       "      <td>3</td>\n",
       "      <td>2.251787e-04</td>\n",
       "      <td>0.056514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148266</th>\n",
       "      <td>0.051295</td>\n",
       "      <td>96.573059</td>\n",
       "      <td>96.415550</td>\n",
       "      <td>218.593445</td>\n",
       "      <td>0</td>\n",
       "      <td>7.299701e-05</td>\n",
       "      <td>0.049608</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44734</th>\n",
       "      <td>0.048346</td>\n",
       "      <td>52.776470</td>\n",
       "      <td>52.612209</td>\n",
       "      <td>111.511894</td>\n",
       "      <td>5</td>\n",
       "      <td>6.226767e-04</td>\n",
       "      <td>0.047299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205320</th>\n",
       "      <td>0.098880</td>\n",
       "      <td>117.329910</td>\n",
       "      <td>113.676643</td>\n",
       "      <td>236.842682</td>\n",
       "      <td>6</td>\n",
       "      <td>2.636554e-04</td>\n",
       "      <td>0.100070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111452</th>\n",
       "      <td>0.052445</td>\n",
       "      <td>52.369503</td>\n",
       "      <td>52.356544</td>\n",
       "      <td>120.156525</td>\n",
       "      <td>1</td>\n",
       "      <td>1.043757e-03</td>\n",
       "      <td>0.052469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84328</th>\n",
       "      <td>0.043292</td>\n",
       "      <td>52.813648</td>\n",
       "      <td>52.537960</td>\n",
       "      <td>151.280701</td>\n",
       "      <td>0</td>\n",
       "      <td>1.070642e-03</td>\n",
       "      <td>0.041663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191766</th>\n",
       "      <td>0.075327</td>\n",
       "      <td>57.417480</td>\n",
       "      <td>53.987713</td>\n",
       "      <td>116.916412</td>\n",
       "      <td>0</td>\n",
       "      <td>7.648572e-04</td>\n",
       "      <td>0.070977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7014</th>\n",
       "      <td>0.073473</td>\n",
       "      <td>78.993111</td>\n",
       "      <td>73.476295</td>\n",
       "      <td>155.143829</td>\n",
       "      <td>0</td>\n",
       "      <td>3.987060e-05</td>\n",
       "      <td>0.074484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55272</th>\n",
       "      <td>0.054175</td>\n",
       "      <td>108.028496</td>\n",
       "      <td>101.259285</td>\n",
       "      <td>225.489899</td>\n",
       "      <td>2</td>\n",
       "      <td>4.840713e-04</td>\n",
       "      <td>0.055662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85162</th>\n",
       "      <td>0.046906</td>\n",
       "      <td>69.560989</td>\n",
       "      <td>68.042679</td>\n",
       "      <td>138.359390</td>\n",
       "      <td>0</td>\n",
       "      <td>2.147177e-05</td>\n",
       "      <td>0.046053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193007</th>\n",
       "      <td>0.154209</td>\n",
       "      <td>248.762222</td>\n",
       "      <td>219.746033</td>\n",
       "      <td>467.641052</td>\n",
       "      <td>5</td>\n",
       "      <td>4.257965e-04</td>\n",
       "      <td>0.154068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185270</th>\n",
       "      <td>0.043673</td>\n",
       "      <td>54.826805</td>\n",
       "      <td>54.193981</td>\n",
       "      <td>121.708488</td>\n",
       "      <td>0</td>\n",
       "      <td>1.866498e-04</td>\n",
       "      <td>0.043534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126291</th>\n",
       "      <td>0.045325</td>\n",
       "      <td>58.738628</td>\n",
       "      <td>57.426037</td>\n",
       "      <td>118.095238</td>\n",
       "      <td>0</td>\n",
       "      <td>1.400858e-03</td>\n",
       "      <td>0.043085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182824</th>\n",
       "      <td>0.049977</td>\n",
       "      <td>59.406006</td>\n",
       "      <td>58.768562</td>\n",
       "      <td>121.587166</td>\n",
       "      <td>1</td>\n",
       "      <td>2.987430e-03</td>\n",
       "      <td>0.048079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73452</th>\n",
       "      <td>0.094751</td>\n",
       "      <td>240.428665</td>\n",
       "      <td>233.649689</td>\n",
       "      <td>547.809692</td>\n",
       "      <td>7</td>\n",
       "      <td>4.716524e-04</td>\n",
       "      <td>0.099597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154194</th>\n",
       "      <td>0.052322</td>\n",
       "      <td>67.927238</td>\n",
       "      <td>66.981865</td>\n",
       "      <td>135.083649</td>\n",
       "      <td>2</td>\n",
       "      <td>2.017473e-04</td>\n",
       "      <td>0.050950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193760</th>\n",
       "      <td>0.088089</td>\n",
       "      <td>63.442333</td>\n",
       "      <td>58.484211</td>\n",
       "      <td>121.901375</td>\n",
       "      <td>5</td>\n",
       "      <td>8.384942e-05</td>\n",
       "      <td>0.086240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41417</th>\n",
       "      <td>0.078442</td>\n",
       "      <td>92.624596</td>\n",
       "      <td>88.850372</td>\n",
       "      <td>191.343262</td>\n",
       "      <td>3</td>\n",
       "      <td>1.058897e-03</td>\n",
       "      <td>0.079987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72008</th>\n",
       "      <td>0.057720</td>\n",
       "      <td>114.876541</td>\n",
       "      <td>111.149467</td>\n",
       "      <td>273.684662</td>\n",
       "      <td>4</td>\n",
       "      <td>6.880555e-04</td>\n",
       "      <td>0.056711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79798</th>\n",
       "      <td>0.079940</td>\n",
       "      <td>96.929970</td>\n",
       "      <td>96.731186</td>\n",
       "      <td>213.068268</td>\n",
       "      <td>2</td>\n",
       "      <td>5.091628e-04</td>\n",
       "      <td>0.081371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186401</th>\n",
       "      <td>0.048043</td>\n",
       "      <td>56.594982</td>\n",
       "      <td>55.078053</td>\n",
       "      <td>144.067780</td>\n",
       "      <td>0</td>\n",
       "      <td>1.445066e-04</td>\n",
       "      <td>0.050666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37496</th>\n",
       "      <td>0.041909</td>\n",
       "      <td>150.294586</td>\n",
       "      <td>142.054688</td>\n",
       "      <td>320.965393</td>\n",
       "      <td>12</td>\n",
       "      <td>7.503659e-05</td>\n",
       "      <td>0.042522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153707</th>\n",
       "      <td>0.039384</td>\n",
       "      <td>52.194279</td>\n",
       "      <td>51.071869</td>\n",
       "      <td>144.720108</td>\n",
       "      <td>1</td>\n",
       "      <td>2.853246e-03</td>\n",
       "      <td>0.038358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48087</th>\n",
       "      <td>0.048961</td>\n",
       "      <td>94.985481</td>\n",
       "      <td>93.581657</td>\n",
       "      <td>189.702072</td>\n",
       "      <td>3</td>\n",
       "      <td>4.338587e-04</td>\n",
       "      <td>0.048569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50971</th>\n",
       "      <td>0.056889</td>\n",
       "      <td>89.701118</td>\n",
       "      <td>88.862434</td>\n",
       "      <td>179.123413</td>\n",
       "      <td>2</td>\n",
       "      <td>1.175877e-04</td>\n",
       "      <td>0.056762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91234</th>\n",
       "      <td>0.049574</td>\n",
       "      <td>62.662567</td>\n",
       "      <td>62.404236</td>\n",
       "      <td>128.622131</td>\n",
       "      <td>0</td>\n",
       "      <td>5.023326e-04</td>\n",
       "      <td>0.050495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201722</th>\n",
       "      <td>0.059045</td>\n",
       "      <td>57.819790</td>\n",
       "      <td>57.258812</td>\n",
       "      <td>116.259178</td>\n",
       "      <td>0</td>\n",
       "      <td>7.042962e-04</td>\n",
       "      <td>0.058163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174153</th>\n",
       "      <td>0.061927</td>\n",
       "      <td>71.561470</td>\n",
       "      <td>68.562660</td>\n",
       "      <td>195.770981</td>\n",
       "      <td>3</td>\n",
       "      <td>4.153995e-04</td>\n",
       "      <td>0.063845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351340</th>\n",
       "      <td>0.087394</td>\n",
       "      <td>102.481285</td>\n",
       "      <td>79.443802</td>\n",
       "      <td>161.023636</td>\n",
       "      <td>36</td>\n",
       "      <td>2.987820e-01</td>\n",
       "      <td>0.100843</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>428698</th>\n",
       "      <td>0.107586</td>\n",
       "      <td>102.683357</td>\n",
       "      <td>100.919601</td>\n",
       "      <td>207.349899</td>\n",
       "      <td>13</td>\n",
       "      <td>7.146668e-02</td>\n",
       "      <td>0.005337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>432349</th>\n",
       "      <td>0.049232</td>\n",
       "      <td>112.633476</td>\n",
       "      <td>81.885513</td>\n",
       "      <td>235.375931</td>\n",
       "      <td>96</td>\n",
       "      <td>5.643718e-02</td>\n",
       "      <td>0.065264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80973</th>\n",
       "      <td>0.094508</td>\n",
       "      <td>59.264984</td>\n",
       "      <td>57.859737</td>\n",
       "      <td>122.794083</td>\n",
       "      <td>59</td>\n",
       "      <td>1.825422e-02</td>\n",
       "      <td>0.003486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>447114</th>\n",
       "      <td>0.042615</td>\n",
       "      <td>149.841675</td>\n",
       "      <td>149.216492</td>\n",
       "      <td>298.819763</td>\n",
       "      <td>51</td>\n",
       "      <td>2.616887e-02</td>\n",
       "      <td>0.003583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>380546</th>\n",
       "      <td>0.048062</td>\n",
       "      <td>102.818573</td>\n",
       "      <td>61.979225</td>\n",
       "      <td>247.628876</td>\n",
       "      <td>60</td>\n",
       "      <td>2.201559e-02</td>\n",
       "      <td>0.006094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248375</th>\n",
       "      <td>0.034788</td>\n",
       "      <td>55.874382</td>\n",
       "      <td>55.230976</td>\n",
       "      <td>113.927773</td>\n",
       "      <td>33</td>\n",
       "      <td>2.804038e-02</td>\n",
       "      <td>0.029418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84194</th>\n",
       "      <td>0.109097</td>\n",
       "      <td>57.829971</td>\n",
       "      <td>57.341461</td>\n",
       "      <td>115.355255</td>\n",
       "      <td>53</td>\n",
       "      <td>2.615681e-02</td>\n",
       "      <td>0.030570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2537</th>\n",
       "      <td>0.096005</td>\n",
       "      <td>68.634941</td>\n",
       "      <td>59.304684</td>\n",
       "      <td>174.906845</td>\n",
       "      <td>33</td>\n",
       "      <td>1.632150e-02</td>\n",
       "      <td>0.006284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59421</th>\n",
       "      <td>0.170837</td>\n",
       "      <td>54.659451</td>\n",
       "      <td>51.947624</td>\n",
       "      <td>149.155045</td>\n",
       "      <td>21</td>\n",
       "      <td>8.245076e-04</td>\n",
       "      <td>0.007889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>875235</th>\n",
       "      <td>0.038768</td>\n",
       "      <td>67.755180</td>\n",
       "      <td>63.799969</td>\n",
       "      <td>158.032990</td>\n",
       "      <td>52</td>\n",
       "      <td>6.538872e-03</td>\n",
       "      <td>0.030312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>414649</th>\n",
       "      <td>0.118732</td>\n",
       "      <td>84.165215</td>\n",
       "      <td>61.422173</td>\n",
       "      <td>160.209641</td>\n",
       "      <td>44</td>\n",
       "      <td>3.435190e-02</td>\n",
       "      <td>0.005092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326553</th>\n",
       "      <td>0.080389</td>\n",
       "      <td>78.401604</td>\n",
       "      <td>54.322197</td>\n",
       "      <td>149.205215</td>\n",
       "      <td>43</td>\n",
       "      <td>4.188050e-02</td>\n",
       "      <td>0.014679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>485446</th>\n",
       "      <td>0.060749</td>\n",
       "      <td>159.222076</td>\n",
       "      <td>102.838547</td>\n",
       "      <td>255.463913</td>\n",
       "      <td>36</td>\n",
       "      <td>4.253075e-02</td>\n",
       "      <td>0.005501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>870203</th>\n",
       "      <td>0.101189</td>\n",
       "      <td>68.347313</td>\n",
       "      <td>67.378906</td>\n",
       "      <td>113.117683</td>\n",
       "      <td>86</td>\n",
       "      <td>5.191805e-01</td>\n",
       "      <td>0.003967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46267</th>\n",
       "      <td>0.132103</td>\n",
       "      <td>67.186676</td>\n",
       "      <td>63.368023</td>\n",
       "      <td>136.141235</td>\n",
       "      <td>14</td>\n",
       "      <td>5.098405e-03</td>\n",
       "      <td>0.050676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179775</th>\n",
       "      <td>0.108012</td>\n",
       "      <td>92.333054</td>\n",
       "      <td>89.366920</td>\n",
       "      <td>188.854507</td>\n",
       "      <td>43</td>\n",
       "      <td>3.738477e-02</td>\n",
       "      <td>0.061430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>575848</th>\n",
       "      <td>0.145999</td>\n",
       "      <td>60.667145</td>\n",
       "      <td>50.804897</td>\n",
       "      <td>111.439743</td>\n",
       "      <td>29</td>\n",
       "      <td>5.644155e-03</td>\n",
       "      <td>0.006903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>385704</th>\n",
       "      <td>0.068017</td>\n",
       "      <td>61.244343</td>\n",
       "      <td>51.548073</td>\n",
       "      <td>112.378746</td>\n",
       "      <td>31</td>\n",
       "      <td>2.532606e-03</td>\n",
       "      <td>0.002441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82684</th>\n",
       "      <td>0.065690</td>\n",
       "      <td>58.225948</td>\n",
       "      <td>54.103695</td>\n",
       "      <td>114.030937</td>\n",
       "      <td>34</td>\n",
       "      <td>6.291635e-02</td>\n",
       "      <td>0.045281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>831449</th>\n",
       "      <td>0.061896</td>\n",
       "      <td>62.388119</td>\n",
       "      <td>57.383080</td>\n",
       "      <td>118.375565</td>\n",
       "      <td>34</td>\n",
       "      <td>9.359764e-02</td>\n",
       "      <td>0.012463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252519</th>\n",
       "      <td>0.131598</td>\n",
       "      <td>71.107674</td>\n",
       "      <td>68.281982</td>\n",
       "      <td>118.529465</td>\n",
       "      <td>30</td>\n",
       "      <td>3.546648e-01</td>\n",
       "      <td>0.002090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>794181</th>\n",
       "      <td>0.089444</td>\n",
       "      <td>72.061623</td>\n",
       "      <td>54.325729</td>\n",
       "      <td>124.897705</td>\n",
       "      <td>42</td>\n",
       "      <td>1.178417e-01</td>\n",
       "      <td>0.021488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208251</th>\n",
       "      <td>0.078181</td>\n",
       "      <td>63.903557</td>\n",
       "      <td>52.866199</td>\n",
       "      <td>147.195053</td>\n",
       "      <td>48</td>\n",
       "      <td>4.214248e-01</td>\n",
       "      <td>0.005795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>685848</th>\n",
       "      <td>0.119117</td>\n",
       "      <td>78.435768</td>\n",
       "      <td>68.492256</td>\n",
       "      <td>150.369263</td>\n",
       "      <td>72</td>\n",
       "      <td>5.158073e-02</td>\n",
       "      <td>0.002047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>383979</th>\n",
       "      <td>0.100943</td>\n",
       "      <td>108.688347</td>\n",
       "      <td>108.328186</td>\n",
       "      <td>239.021057</td>\n",
       "      <td>10</td>\n",
       "      <td>1.598851e-02</td>\n",
       "      <td>0.003400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>624202</th>\n",
       "      <td>0.074419</td>\n",
       "      <td>60.297810</td>\n",
       "      <td>51.008278</td>\n",
       "      <td>111.233612</td>\n",
       "      <td>89</td>\n",
       "      <td>1.730723e-02</td>\n",
       "      <td>0.003333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311400</th>\n",
       "      <td>0.113789</td>\n",
       "      <td>57.708057</td>\n",
       "      <td>54.495319</td>\n",
       "      <td>113.377113</td>\n",
       "      <td>46</td>\n",
       "      <td>1.424117e-02</td>\n",
       "      <td>0.007957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>470404</th>\n",
       "      <td>0.072609</td>\n",
       "      <td>66.864548</td>\n",
       "      <td>55.822441</td>\n",
       "      <td>145.362671</td>\n",
       "      <td>18</td>\n",
       "      <td>1.498698e-02</td>\n",
       "      <td>0.047210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>560783</th>\n",
       "      <td>0.114671</td>\n",
       "      <td>118.910789</td>\n",
       "      <td>90.369843</td>\n",
       "      <td>216.087784</td>\n",
       "      <td>22</td>\n",
       "      <td>6.501766e-01</td>\n",
       "      <td>0.025963</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>504419 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Xi     Muon0Pt     Muon1Pt     InvMass  ExtraPfCands  \\\n",
       "99234   0.076666  299.772003  293.133179  783.843018             3   \n",
       "140279  0.041093  141.848022  139.301285  400.948456            12   \n",
       "190165  0.055388   84.725891   83.376411  223.688828             3   \n",
       "148266  0.051295   96.573059   96.415550  218.593445             0   \n",
       "44734   0.048346   52.776470   52.612209  111.511894             5   \n",
       "205320  0.098880  117.329910  113.676643  236.842682             6   \n",
       "111452  0.052445   52.369503   52.356544  120.156525             1   \n",
       "84328   0.043292   52.813648   52.537960  151.280701             0   \n",
       "191766  0.075327   57.417480   53.987713  116.916412             0   \n",
       "7014    0.073473   78.993111   73.476295  155.143829             0   \n",
       "55272   0.054175  108.028496  101.259285  225.489899             2   \n",
       "85162   0.046906   69.560989   68.042679  138.359390             0   \n",
       "193007  0.154209  248.762222  219.746033  467.641052             5   \n",
       "185270  0.043673   54.826805   54.193981  121.708488             0   \n",
       "126291  0.045325   58.738628   57.426037  118.095238             0   \n",
       "182824  0.049977   59.406006   58.768562  121.587166             1   \n",
       "73452   0.094751  240.428665  233.649689  547.809692             7   \n",
       "154194  0.052322   67.927238   66.981865  135.083649             2   \n",
       "193760  0.088089   63.442333   58.484211  121.901375             5   \n",
       "41417   0.078442   92.624596   88.850372  191.343262             3   \n",
       "72008   0.057720  114.876541  111.149467  273.684662             4   \n",
       "79798   0.079940   96.929970   96.731186  213.068268             2   \n",
       "186401  0.048043   56.594982   55.078053  144.067780             0   \n",
       "37496   0.041909  150.294586  142.054688  320.965393            12   \n",
       "153707  0.039384   52.194279   51.071869  144.720108             1   \n",
       "48087   0.048961   94.985481   93.581657  189.702072             3   \n",
       "50971   0.056889   89.701118   88.862434  179.123413             2   \n",
       "91234   0.049574   62.662567   62.404236  128.622131             0   \n",
       "201722  0.059045   57.819790   57.258812  116.259178             0   \n",
       "174153  0.061927   71.561470   68.562660  195.770981             3   \n",
       "...          ...         ...         ...         ...           ...   \n",
       "351340  0.087394  102.481285   79.443802  161.023636            36   \n",
       "428698  0.107586  102.683357  100.919601  207.349899            13   \n",
       "432349  0.049232  112.633476   81.885513  235.375931            96   \n",
       "80973   0.094508   59.264984   57.859737  122.794083            59   \n",
       "447114  0.042615  149.841675  149.216492  298.819763            51   \n",
       "380546  0.048062  102.818573   61.979225  247.628876            60   \n",
       "248375  0.034788   55.874382   55.230976  113.927773            33   \n",
       "84194   0.109097   57.829971   57.341461  115.355255            53   \n",
       "2537    0.096005   68.634941   59.304684  174.906845            33   \n",
       "59421   0.170837   54.659451   51.947624  149.155045            21   \n",
       "875235  0.038768   67.755180   63.799969  158.032990            52   \n",
       "414649  0.118732   84.165215   61.422173  160.209641            44   \n",
       "326553  0.080389   78.401604   54.322197  149.205215            43   \n",
       "485446  0.060749  159.222076  102.838547  255.463913            36   \n",
       "870203  0.101189   68.347313   67.378906  113.117683            86   \n",
       "46267   0.132103   67.186676   63.368023  136.141235            14   \n",
       "179775  0.108012   92.333054   89.366920  188.854507            43   \n",
       "575848  0.145999   60.667145   50.804897  111.439743            29   \n",
       "385704  0.068017   61.244343   51.548073  112.378746            31   \n",
       "82684   0.065690   58.225948   54.103695  114.030937            34   \n",
       "831449  0.061896   62.388119   57.383080  118.375565            34   \n",
       "252519  0.131598   71.107674   68.281982  118.529465            30   \n",
       "794181  0.089444   72.061623   54.325729  124.897705            42   \n",
       "208251  0.078181   63.903557   52.866199  147.195053            48   \n",
       "685848  0.119117   78.435768   68.492256  150.369263            72   \n",
       "383979  0.100943  108.688347  108.328186  239.021057            10   \n",
       "624202  0.074419   60.297810   51.008278  111.233612            89   \n",
       "311400  0.113789   57.708057   54.495319  113.377113            46   \n",
       "470404  0.072609   66.864548   55.822441  145.362671            18   \n",
       "560783  0.114671  118.910789   90.369843  216.087784            22   \n",
       "\n",
       "               Acopl    XiMuMu  \n",
       "99234   8.626284e-07  0.077529  \n",
       "140279  5.804421e-04  0.042499  \n",
       "190165  2.251787e-04  0.056514  \n",
       "148266  7.299701e-05  0.049608  \n",
       "44734   6.226767e-04  0.047299  \n",
       "205320  2.636554e-04  0.100070  \n",
       "111452  1.043757e-03  0.052469  \n",
       "84328   1.070642e-03  0.041663  \n",
       "191766  7.648572e-04  0.070977  \n",
       "7014    3.987060e-05  0.074484  \n",
       "55272   4.840713e-04  0.055662  \n",
       "85162   2.147177e-05  0.046053  \n",
       "193007  4.257965e-04  0.154068  \n",
       "185270  1.866498e-04  0.043534  \n",
       "126291  1.400858e-03  0.043085  \n",
       "182824  2.987430e-03  0.048079  \n",
       "73452   4.716524e-04  0.099597  \n",
       "154194  2.017473e-04  0.050950  \n",
       "193760  8.384942e-05  0.086240  \n",
       "41417   1.058897e-03  0.079987  \n",
       "72008   6.880555e-04  0.056711  \n",
       "79798   5.091628e-04  0.081371  \n",
       "186401  1.445066e-04  0.050666  \n",
       "37496   7.503659e-05  0.042522  \n",
       "153707  2.853246e-03  0.038358  \n",
       "48087   4.338587e-04  0.048569  \n",
       "50971   1.175877e-04  0.056762  \n",
       "91234   5.023326e-04  0.050495  \n",
       "201722  7.042962e-04  0.058163  \n",
       "174153  4.153995e-04  0.063845  \n",
       "...              ...       ...  \n",
       "351340  2.987820e-01  0.100843  \n",
       "428698  7.146668e-02  0.005337  \n",
       "432349  5.643718e-02  0.065264  \n",
       "80973   1.825422e-02  0.003486  \n",
       "447114  2.616887e-02  0.003583  \n",
       "380546  2.201559e-02  0.006094  \n",
       "248375  2.804038e-02  0.029418  \n",
       "84194   2.615681e-02  0.030570  \n",
       "2537    1.632150e-02  0.006284  \n",
       "59421   8.245076e-04  0.007889  \n",
       "875235  6.538872e-03  0.030312  \n",
       "414649  3.435190e-02  0.005092  \n",
       "326553  4.188050e-02  0.014679  \n",
       "485446  4.253075e-02  0.005501  \n",
       "870203  5.191805e-01  0.003967  \n",
       "46267   5.098405e-03  0.050676  \n",
       "179775  3.738477e-02  0.061430  \n",
       "575848  5.644155e-03  0.006903  \n",
       "385704  2.532606e-03  0.002441  \n",
       "82684   6.291635e-02  0.045281  \n",
       "831449  9.359764e-02  0.012463  \n",
       "252519  3.546648e-01  0.002090  \n",
       "794181  1.178417e-01  0.021488  \n",
       "208251  4.214248e-01  0.005795  \n",
       "685848  5.158073e-02  0.002047  \n",
       "383979  1.598851e-02  0.003400  \n",
       "624202  1.730723e-02  0.003333  \n",
       "311400  1.424117e-02  0.007957  \n",
       "470404  1.498698e-02  0.047210  \n",
       "560783  6.501766e-01  0.025963  \n",
       "\n",
       "[504419 rows x 7 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.03815919513982404"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sum( y_train == 1 ) / y_train.size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.03760094101476283"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sum( y_valid == 1 ) / y_valid.size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.03810522601250151"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sum( y_test == 1 ) / y_test.size"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Build model (example)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "run_test_model = False\n",
    "if run_test_model:\n",
    "    ada_clf = AdaBoostClassifier(\n",
    "                DecisionTreeClassifier(\n",
    "                    max_depth=6,\n",
    "                    min_samples_split=5\n",
    "                ),\n",
    "                n_estimators = 500,\n",
    "                algorithm=\"SAMME.R\",\n",
    "                learning_rate = 0.8\n",
    "                )\n",
    "    ada_clf.fit( X_train, y_train )\n",
    "    model = ada_clf\n",
    "\n",
    "    y_test_proba = model.predict_proba( X_test )[:,1]\n",
    "    print ( y_test_proba )\n",
    "\n",
    "    fig = plt.figure( figsize=(10,10) )\n",
    "    plt.hist( y_test_proba[ y_test == 0 ], histtype='step', color='orange', bins=60, range=(0.,1.) )\n",
    "    plt.hist( y_test_proba[ y_test == 1 ], histtype='step', color='skyblue', bins=60, range=(0.,1.) )\n",
    "    plt.yscale('log')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Hyperparameter scan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 4 folds for each of 3 candidates, totalling 12 fits\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done   1 tasks      | elapsed: 32.6min\n",
      "[Parallel(n_jobs=-1)]: Done   2 tasks      | elapsed: 33.7min\n",
      "[Parallel(n_jobs=-1)]: Done   3 tasks      | elapsed: 34.5min\n",
      "[Parallel(n_jobs=-1)]: Done   4 tasks      | elapsed: 34.9min\n",
      "[Parallel(n_jobs=-1)]: Done   5 tasks      | elapsed: 49.1min\n",
      "[Parallel(n_jobs=-1)]: Done   6 out of  12 | elapsed: 50.3min remaining: 50.3min\n",
      "[Parallel(n_jobs=-1)]: Done   7 out of  12 | elapsed: 50.4min remaining: 36.0min\n",
      "[Parallel(n_jobs=-1)]: Done   8 out of  12 | elapsed: 51.3min remaining: 25.6min\n",
      "[Parallel(n_jobs=-1)]: Done   9 out of  12 | elapsed: 83.8min remaining: 27.9min\n",
      "[Parallel(n_jobs=-1)]: Done  10 out of  12 | elapsed: 84.6min remaining: 16.9min\n",
      "[Parallel(n_jobs=-1)]: Done  12 out of  12 | elapsed: 85.4min remaining:    0.0s\n",
      "[Parallel(n_jobs=-1)]: Done  12 out of  12 | elapsed: 85.4min finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'n_estimators': 400, 'learning_rate': 0.5, 'base_estimator__min_samples_split': 6, 'base_estimator__max_depth': 8}\n",
      "0.9991409224726111\n",
      "{'mean_fit_time': array([2015.10962474,  972.42007446, 2053.5958091 ]), 'std_fit_time': array([51.67821454, 15.47530824, 46.26535169]), 'mean_score_time': array([13.8967157 ,  6.86010802, 14.31734073]), 'std_score_time': array([0.29198098, 0.20970064, 0.94583642]), 'param_n_estimators': masked_array(data=[400, 200, 400],\n",
      "             mask=[False, False, False],\n",
      "       fill_value='?',\n",
      "            dtype=object), 'param_learning_rate': masked_array(data=[0.5, 0.9, 0.5],\n",
      "             mask=[False, False, False],\n",
      "       fill_value='?',\n",
      "            dtype=object), 'param_base_estimator__min_samples_split': masked_array(data=[7, 4, 6],\n",
      "             mask=[False, False, False],\n",
      "       fill_value='?',\n",
      "            dtype=object), 'param_base_estimator__max_depth': masked_array(data=[7, 6, 8],\n",
      "             mask=[False, False, False],\n",
      "       fill_value='?',\n",
      "            dtype=object), 'params': [{'n_estimators': 400, 'learning_rate': 0.5, 'base_estimator__min_samples_split': 7, 'base_estimator__max_depth': 7}, {'n_estimators': 200, 'learning_rate': 0.9, 'base_estimator__min_samples_split': 4, 'base_estimator__max_depth': 6}, {'n_estimators': 400, 'learning_rate': 0.5, 'base_estimator__min_samples_split': 6, 'base_estimator__max_depth': 8}], 'split0_test_score': array([0.99916001, 0.99908365, 0.99915414]), 'split1_test_score': array([0.99914827, 0.99905428, 0.99921875]), 'split2_test_score': array([0.99906016, 0.99901316, 0.99906016]), 'split3_test_score': array([0.99907777, 0.99900728, 0.99913064]), 'mean_test_score': array([0.99911155, 0.9990396 , 0.99914092]), 'std_test_score': array([4.32410291e-05, 3.12223832e-05, 5.67043585e-05]), 'rank_test_score': array([2, 3, 1], dtype=int32)}\n"
     ]
    }
   ],
   "source": [
    "n_iter_search = 3\n",
    "\n",
    "grid_search = None\n",
    "\n",
    "if train_model and run_grid_search:\n",
    "    from sklearn.model_selection import RandomizedSearchCV\n",
    "    #from sklearn.model_selection import GridSearchCV\n",
    "    #from scipy.stats import uniform\n",
    "\n",
    "    param_distribs = {\n",
    "        \"base_estimator__max_depth\": np.arange(2,9),\n",
    "        \"base_estimator__min_samples_split\": np.arange(2,9),\n",
    "        \"n_estimators\": 100 * np.arange(2,6),\n",
    "        \"learning_rate\": 0.1 * np.arange(4,11)\n",
    "        }\n",
    "    #param_grid = [\n",
    "    #    { \"max_depth\": np.arange(2,10),\n",
    "    #      \"n_estimators\": 100 * np.arange(1,6),\n",
    "    #      \"learning_rate\": 0.1 * np.arange(5,11) }\n",
    "    #    ]\n",
    "\n",
    "    grid_search = RandomizedSearchCV(\n",
    "        AdaBoostClassifier(\n",
    "            DecisionTreeClassifier(),\n",
    "            algorithm=\"SAMME.R\"\n",
    "            ),\n",
    "        param_distribs,\n",
    "        n_iter=n_iter_search, cv=4, verbose=20, n_jobs=-1, random_state=42\n",
    "        )\n",
    "    grid_search.fit( X_train, y_train )\n",
    "\n",
    "    print ( grid_search.best_params_ )\n",
    "    print ( grid_search.best_score_ )\n",
    "    print ( grid_search.cv_results_ )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AdaBoostClassifier(base_estimator=DecisionTreeClassifier(max_depth=8,\n",
      "                                                         min_samples_split=6),\n",
      "                   learning_rate=0.5, n_estimators=400)\n"
     ]
    }
   ],
   "source": [
    "model_final = None\n",
    "\n",
    "if train_model:\n",
    "    if run_grid_search: \n",
    "        #print ( grid_search.best_estimator_)\n",
    "        model_final = grid_search.best_estimator_\n",
    "    else:\n",
    "        model_final = AdaBoostClassifier(\n",
    "                DecisionTreeClassifier(\n",
    "                    max_depth=4,\n",
    "                    min_samples_split=5\n",
    "                ),\n",
    "                n_estimators = 400,\n",
    "                algorithm=\"SAMME.R\",\n",
    "                learning_rate = 0.4\n",
    "                )\n",
    "        model_final.fit( X_train, y_train )\n",
    "else:\n",
    "    model_final = load( model_path )\n",
    "    \n",
    "print ( model_final )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Evaluate on test data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[9.98300060e-01 9.75948777e-01 9.89581573e-01 ... 5.50660216e-07\n",
      " 1.19064027e-05 2.37087677e-07]\n"
     ]
    }
   ],
   "source": [
    "y_test_proba = model_final.predict_proba( X_test )[:,1]\n",
    "print ( y_test_proba )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure( figsize=(10,10) )\n",
    "plt.hist( y_test_proba[ y_test == 0 ], histtype='step', color='orange', bins=60, range=(0.,1.) )\n",
    "plt.hist( y_test_proba[ y_test == 1 ], histtype='step', color='skyblue', bins=60, range=(0.,1.) )\n",
    "plt.yscale('log')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1 1 1 ... 0 0 0]\n",
      "0.9992169208534968\n",
      "0.990895374850424\n",
      "0.999546576861405\n"
     ]
    }
   ],
   "source": [
    "prob_cut = 0.50\n",
    "\n",
    "y_test_pred = ( y_test_proba >= prob_cut ).astype( \"int32\" )\n",
    "print ( y_test_pred )\n",
    "\n",
    "from sklearn.metrics import accuracy_score\n",
    "print ( accuracy_score( y_test, y_test_pred ) )\n",
    "print ( accuracy_score( y_test[ y_test == 1 ], y_test_pred[ y_test == 1 ] ) )\n",
    "print ( accuracy_score( y_test[ y_test == 0 ], y_test_pred[ y_test == 0 ] ) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Number of Trees')"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1728x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "test_errors = []\n",
    "for test_predict_proba in model_final.staged_predict_proba( X_test ):\n",
    "    test_errors.append( 1. - accuracy_score( ( test_predict_proba[:,1] >= prob_cut ), y_test ) )\n",
    "\n",
    "n_trees = len( model_final )\n",
    "\n",
    "estimator_errors = model_final.estimator_errors_[:n_trees]\n",
    "\n",
    "plt.figure( figsize=(24, 10) )\n",
    "plt.subplot(121)\n",
    "plt.plot( np.arange(1, n_trees + 1), test_errors, c='black' )\n",
    "plt.ylabel('Test Error')\n",
    "plt.xlabel('Number of Trees')\n",
    "#plt.ylim( 0.20, 0.50 )\n",
    "\n",
    "plt.subplot(122)\n",
    "plt.plot( np.arange(1, n_trees + 1), estimator_errors, c='black' )\n",
    "plt.ylabel('Error')\n",
    "plt.xlabel('Number of Trees')\n",
    "#plt.ylim( 0.20, estimator_errors.max() * 1.2 )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Save model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "if train_model and save_model:\n",
    "    dump( model_final, \"model/ada_clf.joblib\" )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#dump( model_final, \"model/ada_clf.joblib\" )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### References"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.ensemble import AdaBoostClassifier\n",
    "np.info( AdaBoostClassifier )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import RandomizedSearchCV\n",
    "#np.info( RandomizedSearchCV )\n",
    "print ( RandomizedSearchCV(AdaBoostClassifier(\n",
    "            DecisionTreeClassifier( random_state=42 ),\n",
    "            algorithm=\"SAMME.R\"\n",
    "            ),\n",
    "            param_distribs)\n",
    "      )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}