preprocessing.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import scipy\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "from IPython.display import Image\n",
    "\n",
    "import uproot\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn import preprocessing\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "\n",
    "from sklearn.model_selection import KFold\n",
    "\n",
    "from sklearn.feature_selection import SelectKBest\n",
    "from sklearn.feature_selection import chi2\n",
    "from sklearn.feature_selection import f_regression\n",
    "from sklearn.feature_selection import mutual_info_regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#fDataName = \"./gun_k0L_allgev_FTFP_BERT_90000evt_ILD_l5_v02steel.root\"\n",
    "#fDataName_mc = \"./mc_gun_k0L_allgev_FTFP_BERT_90000evt_ILD_l5_v02steel.root\"\n",
    "#fDataName_full = \"./full_gun_k0L_allgev_FTFP_BERT_90000evt_ILD_l5_v02steel.root\"\n",
    "#fTreeName = \"tree\"\n",
    "#data = read_root(fDataName, fTreeName)\n",
    "#data_mc = read_root(fDataName_mc, fTreeName)\n",
    "#data_full = read_root(fDataName_full, fTreeName)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "#variables_test = ([\"n30\", \"n35\", \"n40\", \"n45\", \"n50\", \"n55\", \"n60\", \"n65\", \"n70\", \"n75\", \"n80\", \"nav\", \"c30\", \n",
    "#\"c35\", \"c40\", \"c45\", \"c50\", \"c55\", \"c60\", \"c65\", \"c70\", \"c75\", \"c80\", ])\n",
    "#branches = [ \"energy\", \"eecal\", \"ehcal\", \"nhits\", \"nhits_ecal\", \"nhits_hcal\", \"time\", \"etime\", \"htime\", \"radius\", \n",
    "#\"eradius\", \"hradius\", \"elayer\", \"hlayer\", \"energy_hit\", \"energy_hit_ecal\", \"energy_hit_hcal\", \n",
    "#\"energy_hit_ecal_max\", \"energy_hit_hcal_max\", \"muon_energy\", \"muon_energy_hit\", \"muon_nhits\", \"muon_time\", \n",
    "#\"muon_layer\" ]\n",
    "\n",
    "#branches = [ \"energy\", \"eecal\", \"ehcal\", \"nhits\", \"nhits_ecal\", \"nhits_hcal\", \"radius\", \"eradius\", \"hradius\", \n",
    "#\"time\", \"etime\", \"htime\", \"elayer\", \"hlayer\", \"energy_hit\", \"energy_hit_ecal\", \"energy_hit_hcal\", \n",
    "#\"energy_hit_ecal_max\", \"energy_hit_hcal_max\", \"muon_energy\", \"muon_energy_hit\", \"muon_nhits\", \"muon_time\", \n",
    "#\"muon_layer\" ]\n",
    "\n",
    "branches = [\"eecal\", \"ehcal\", \"etime\", \"htime\", \"eradius\", \"hradius\", \"mc_energy\"]\n",
    "\n",
    "#branches = [\"energy\", \"eecal\", \"ehcal\", \"etime\", \"htime\"]\n",
    "\n",
    "#branches = [\"c30\", \"c35\", \"c40\", \"c45\", \"c50\", \"c55\", \"c60\", \"c65\", \"c70\",\n",
    "#           \"c75\", \"c80\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# ./gun_k0L_allgev_FTFP_BERT_90000evt_ILD_l5_v02steel.root\n",
    "\n",
    "fTreeName = \"tree\"\n",
    "\n",
    "data = uproot.pandas.iterate(\"./gun_k0L_allgev_FTFP_BERT_260000evt_ILD_l5_v02steel.root\", fTreeName, branches)\n",
    "data = pd.concat(list(data))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data1 = uproot.pandas.iterate(\"./gun_k0L_allgev_FTFP_BERT_90000evt_ILD_l5_v02steel.root\", fTreeName, \"energy\")\n",
    "data1 = pd.concat(list(data1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "data5 = uproot.pandas.iterate(\"./data/gun_k0L_5gev_FTFP_BERT_10000evt_ILD_l5_v02steel.root\", fTreeName, \"htime\")\n",
    "data5 = pd.concat(list(data5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th {\n",
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       "    }\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>htime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>24.912582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>26.828375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>24.846424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>25.820215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>26.156885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8627</th>\n",
       "      <td>17.390865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8628</th>\n",
       "      <td>16.694715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8629</th>\n",
       "      <td>31.848833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8630</th>\n",
       "      <td>22.083221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8631</th>\n",
       "      <td>36.543442</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8632 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          htime\n",
       "0     24.912582\n",
       "1     26.828375\n",
       "2     24.846424\n",
       "3     25.820215\n",
       "4     26.156885\n",
       "...         ...\n",
       "8627  17.390865\n",
       "8628  16.694715\n",
       "8629  31.848833\n",
       "8630  22.083221\n",
       "8631  36.543442\n",
       "\n",
       "[8632 rows x 1 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%time\n",
    "\n",
    "count = -1\n",
    "final = 0.0\n",
    "\n",
    "for index, value in data1.energy.items():\n",
    "    for index2, value2 in data1.energy.items():\n",
    "        if value == value2:\n",
    "            count += 1\n",
    "            print(f\"Count : {count}, Index : {index}, Index2 : {index2}, Value : {value}, Value2 : {value2}\")\n",
    "            final = index\n",
    "\n",
    "diff = count - final\n",
    "print(diff)\n",
    "print(100 * (diff / len(data1.energy)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "79811 - 79619"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "100 * (192/len(data1.energy))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data1.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_train1, x_test1, y_train1, y_test1 = train_test_split(data1, data1, train_size = 0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "len(x_train1.energy.unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "len(data1.energy.unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "len(x_train1.energy) - len(x_train1.energy.unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "len(data1.energy) - len(data1.energy.unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "len(data1.energy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "len(data1.energy.unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8604"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(data5.htime.unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8632"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(data5.htime)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.ndarray"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(data5.energy.unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "aaa = pd.DataFrame({'energy': data1.energy.unique()})\n",
    "aaa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "aaa.energy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "len(aaa.energy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_train_a, x_test_a, y_train_a, y_test_a = train_test_split(aaa, aaa, train_size = 0.9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "len(x_train_a.energy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "len(x_train_a.energy.unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%time\n",
    "\n",
    "count = -1\n",
    "final = 0.0\n",
    "\n",
    "for index, value in x_train1.energy.items():\n",
    "    for index2, value2 in x_train1.energy.items():\n",
    "        if value == value2:\n",
    "            count += 1\n",
    "            print(f\"Count : {count}, Index : {index}, Index2 : {index2}, Value : {value}, Value2 : {value2}\")\n",
    "            final = index\n",
    "\n",
    "#diff = count - final\n",
    "#print(diff)\n",
    "#print(100 * (diff / len(x_train1.energy)))\n",
    "\n",
    "print(count + 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%time\n",
    "\n",
    "count = -1\n",
    "final = 0.0\n",
    "\n",
    "for index, value in data1.energy.items():\n",
    "    for index2, value2 in data1.energy.items():\n",
    "        if value == value2:\n",
    "            count += 1\n",
    "            print(f\"Count : {count}, Index : {index}, Index2 : {index2}, Value : {value}, Value2 : {value2}\")\n",
    "            final = index\n",
    "\n",
    "#diff = count - final\n",
    "#print(diff)\n",
    "#print(100 * (diff / len(x_train1.energy)))\n",
    "\n",
    "print(count + 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "100 * (2/7962)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_train, x_test, y_train, y_test = train_test_split(data, data, train_size = 0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in range(len(branches)): \n",
    "#    print(branches[i], 'and', branches[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#sns.relplot(x=\"etime\", y=\"ehcal\", data = data)\n",
    "#plt.show()\n",
    "#sns.relplot(x=\"htime\", y=\"eecal\", data = data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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>eecal</th>\n",
       "      <th>ehcal</th>\n",
       "      <th>muon_energy</th>\n",
       "      <th>etime</th>\n",
       "      <th>htime</th>\n",
       "      <th>eradius</th>\n",
       "      <th>hradius</th>\n",
       "      <th>elayer</th>\n",
       "      <th>hlayer</th>\n",
       "      <th>muon_time</th>\n",
       "      <th>muon_layer</th>\n",
       "      <th>mc_energy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>eecal</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.131429</td>\n",
       "      <td>-0.055831</td>\n",
       "      <td>-0.115008</td>\n",
       "      <td>-0.014099</td>\n",
       "      <td>-0.202531</td>\n",
       "      <td>0.027832</td>\n",
       "      <td>0.172889</td>\n",
       "      <td>-0.152756</td>\n",
       "      <td>0.039403</td>\n",
       "      <td>0.028724</td>\n",
       "      <td>0.585834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ehcal</th>\n",
       "      <td>0.131429</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.155594</td>\n",
       "      <td>0.121166</td>\n",
       "      <td>-0.257103</td>\n",
       "      <td>0.085121</td>\n",
       "      <td>-0.299339</td>\n",
       "      <td>0.101742</td>\n",
       "      <td>0.327006</td>\n",
       "      <td>0.405211</td>\n",
       "      <td>0.418303</td>\n",
       "      <td>0.852807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>muon_energy</th>\n",
       "      <td>-0.055831</td>\n",
       "      <td>0.155594</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.049307</td>\n",
       "      <td>0.014769</td>\n",
       "      <td>-0.007633</td>\n",
       "      <td>-0.068726</td>\n",
       "      <td>-0.120089</td>\n",
       "      <td>0.306266</td>\n",
       "      <td>0.224953</td>\n",
       "      <td>0.334404</td>\n",
       "      <td>0.212033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>etime</th>\n",
       "      <td>-0.115008</td>\n",
       "      <td>0.121166</td>\n",
       "      <td>-0.049307</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.023430</td>\n",
       "      <td>0.561189</td>\n",
       "      <td>0.016539</td>\n",
       "      <td>0.364091</td>\n",
       "      <td>-0.137274</td>\n",
       "      <td>0.007689</td>\n",
       "      <td>0.005676</td>\n",
       "      <td>0.035826</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>htime</th>\n",
       "      <td>-0.014099</td>\n",
       "      <td>-0.257103</td>\n",
       "      <td>0.014769</td>\n",
       "      <td>0.023430</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.026714</td>\n",
       "      <td>0.553583</td>\n",
       "      <td>-0.085131</td>\n",
       "      <td>-0.065480</td>\n",
       "      <td>-0.067692</td>\n",
       "      <td>-0.072625</td>\n",
       "      <td>-0.194386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>eradius</th>\n",
       "      <td>-0.202531</td>\n",
       "      <td>0.085121</td>\n",
       "      <td>-0.007633</td>\n",
       "      <td>0.561189</td>\n",
       "      <td>0.026714</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.163117</td>\n",
       "      <td>0.041665</td>\n",
       "      <td>0.008397</td>\n",
       "      <td>0.018068</td>\n",
       "      <td>0.019396</td>\n",
       "      <td>-0.030379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hradius</th>\n",
       "      <td>0.027832</td>\n",
       "      <td>-0.299339</td>\n",
       "      <td>-0.068726</td>\n",
       "      <td>0.016539</td>\n",
       "      <td>0.553583</td>\n",
       "      <td>0.163117</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.052394</td>\n",
       "      <td>-0.166443</td>\n",
       "      <td>-0.141630</td>\n",
       "      <td>-0.150124</td>\n",
       "      <td>-0.222829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>elayer</th>\n",
       "      <td>0.172889</td>\n",
       "      <td>0.101742</td>\n",
       "      <td>-0.120089</td>\n",
       "      <td>0.364091</td>\n",
       "      <td>-0.085131</td>\n",
       "      <td>0.041665</td>\n",
       "      <td>-0.052394</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.323224</td>\n",
       "      <td>-0.054740</td>\n",
       "      <td>-0.062230</td>\n",
       "      <td>0.144776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hlayer</th>\n",
       "      <td>-0.152756</td>\n",
       "      <td>0.327006</td>\n",
       "      <td>0.306266</td>\n",
       "      <td>-0.137274</td>\n",
       "      <td>-0.065480</td>\n",
       "      <td>0.008397</td>\n",
       "      <td>-0.166443</td>\n",
       "      <td>-0.323224</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.336597</td>\n",
       "      <td>0.390446</td>\n",
       "      <td>0.229130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>muon_time</th>\n",
       "      <td>0.039403</td>\n",
       "      <td>0.405211</td>\n",
       "      <td>0.224953</td>\n",
       "      <td>0.007689</td>\n",
       "      <td>-0.067692</td>\n",
       "      <td>0.018068</td>\n",
       "      <td>-0.141630</td>\n",
       "      <td>-0.054740</td>\n",
       "      <td>0.336597</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.769852</td>\n",
       "      <td>0.375865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>muon_layer</th>\n",
       "      <td>0.028724</td>\n",
       "      <td>0.418303</td>\n",
       "      <td>0.334404</td>\n",
       "      <td>0.005676</td>\n",
       "      <td>-0.072625</td>\n",
       "      <td>0.019396</td>\n",
       "      <td>-0.150124</td>\n",
       "      <td>-0.062230</td>\n",
       "      <td>0.390446</td>\n",
       "      <td>0.769852</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.400483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mc_energy</th>\n",
       "      <td>0.585834</td>\n",
       "      <td>0.852807</td>\n",
       "      <td>0.212033</td>\n",
       "      <td>0.035826</td>\n",
       "      <td>-0.194386</td>\n",
       "      <td>-0.030379</td>\n",
       "      <td>-0.222829</td>\n",
       "      <td>0.144776</td>\n",
       "      <td>0.229130</td>\n",
       "      <td>0.375865</td>\n",
       "      <td>0.400483</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                eecal     ehcal  muon_energy     etime     htime   eradius  \\\n",
       "eecal        1.000000  0.131429    -0.055831 -0.115008 -0.014099 -0.202531   \n",
       "ehcal        0.131429  1.000000     0.155594  0.121166 -0.257103  0.085121   \n",
       "muon_energy -0.055831  0.155594     1.000000 -0.049307  0.014769 -0.007633   \n",
       "etime       -0.115008  0.121166    -0.049307  1.000000  0.023430  0.561189   \n",
       "htime       -0.014099 -0.257103     0.014769  0.023430  1.000000  0.026714   \n",
       "eradius     -0.202531  0.085121    -0.007633  0.561189  0.026714  1.000000   \n",
       "hradius      0.027832 -0.299339    -0.068726  0.016539  0.553583  0.163117   \n",
       "elayer       0.172889  0.101742    -0.120089  0.364091 -0.085131  0.041665   \n",
       "hlayer      -0.152756  0.327006     0.306266 -0.137274 -0.065480  0.008397   \n",
       "muon_time    0.039403  0.405211     0.224953  0.007689 -0.067692  0.018068   \n",
       "muon_layer   0.028724  0.418303     0.334404  0.005676 -0.072625  0.019396   \n",
       "mc_energy    0.585834  0.852807     0.212033  0.035826 -0.194386 -0.030379   \n",
       "\n",
       "              hradius    elayer    hlayer  muon_time  muon_layer  mc_energy  \n",
       "eecal        0.027832  0.172889 -0.152756   0.039403    0.028724   0.585834  \n",
       "ehcal       -0.299339  0.101742  0.327006   0.405211    0.418303   0.852807  \n",
       "muon_energy -0.068726 -0.120089  0.306266   0.224953    0.334404   0.212033  \n",
       "etime        0.016539  0.364091 -0.137274   0.007689    0.005676   0.035826  \n",
       "htime        0.553583 -0.085131 -0.065480  -0.067692   -0.072625  -0.194386  \n",
       "eradius      0.163117  0.041665  0.008397   0.018068    0.019396  -0.030379  \n",
       "hradius      1.000000 -0.052394 -0.166443  -0.141630   -0.150124  -0.222829  \n",
       "elayer      -0.052394  1.000000 -0.323224  -0.054740   -0.062230   0.144776  \n",
       "hlayer      -0.166443 -0.323224  1.000000   0.336597    0.390446   0.229130  \n",
       "muon_time   -0.141630 -0.054740  0.336597   1.000000    0.769852   0.375865  \n",
       "muon_layer  -0.150124 -0.062230  0.390446   0.769852    1.000000   0.400483  \n",
       "mc_energy   -0.222829  0.144776  0.229130   0.375865    0.400483   1.000000  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corrMatrix = data.corr()\n",
    "corrMatrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['eecal', 'ehcal', 'energy_hit_ecal', 'energy_hit_hcal', 'muon_energy',\n",
       "       'muon_energy_hit', 'nhits_ecal', 'nhits_hcal', 'etime', 'htime',\n",
       "       'eradius', 'hradius', 'elayer', 'hlayer', 'muon_nhits', 'muon_time',\n",
       "       'muon_layer', 'mc_energy'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corrMatrix.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "eecal              1.000000\n",
       "ehcal              0.131429\n",
       "energy_hit_ecal    0.157451\n",
       "energy_hit_hcal   -0.072369\n",
       "muon_energy       -0.055831\n",
       "muon_energy_hit    0.013643\n",
       "nhits_ecal         0.926319\n",
       "nhits_hcal         0.257508\n",
       "etime             -0.115008\n",
       "htime             -0.014099\n",
       "eradius           -0.202531\n",
       "hradius            0.027832\n",
       "elayer             0.172889\n",
       "hlayer            -0.152756\n",
       "muon_nhits        -0.060128\n",
       "muon_time          0.039403\n",
       "muon_layer         0.028724\n",
       "mc_energy          0.585834\n",
       "Name: eecal, dtype: float64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corrMatrix.eecal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "corrMatrix.eecal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "corrMatrix.eecal.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "thr = 0.3\n",
    "a = corrMatrix < abs(thr)\n",
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# sns.set_xticklabels(g.ax_heatmap.get_xmajorticklabels(), fontsize = 16)\n",
    "a = sns.heatmap(corrMatrix, annot = True, annot_kws={\"size\": 20}, linewidths=.5)\n",
    "a.set_xticklabels(a.get_xmajorticklabels(), fontsize = 12)\n",
    "a.set_yticklabels(a.get_ymajorticklabels(), fontsize = 12)\n",
    "plt.rcParams[\"figure.figsize\"] = (20, 20)\n",
    "plt.savefig('./ann_pict/test.png', dpi = 100)\n",
    "plt.show()\n",
    "#print(\"\\n\")\n",
    "#print (\"mc_energy and energy is ===\", (scipy.stats.pearsonr(data.mc_energy, data.energy))[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#g = sns.clustermap(data, cmap =\"YlGnBu\", linewidths = 0.1); \n",
    "#plt.setp(cg.ax_heatmap.yaxis.get_majorticklabels(), rotation = 0)  \n",
    "#cg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Image('./ann_pict/test.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams[\"figure.figsize\"] = (80, 80)\n",
    "sns.pairplot(data)\n",
    "plt.savefig('./ann_pict/pairplot.png', dpi = 100)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.distplot(x_train, kde=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.distplot(data['ehcal'], kde=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.distplot(data['htime'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x2b95ea0727f0>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(\"ehcal\", \"etime\", data=data, kind=\"kde\", space=0, color=\"b\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.eecal.plot(kind='hist')\n",
    "plt.title(\"eecal\")\n",
    "plt.show()\n",
    "\n",
    "data.ehcal.plot(kind='hist')\n",
    "plt.title(\"ehcal\")\n",
    "plt.show()\n",
    "\n",
    "data.energy_hit_ecal.plot(kind='hist', logy=True)\n",
    "plt.title(\"energy_hit_ecal\")\n",
    "plt.show()\n",
    "\n",
    "data.energy_hit_hcal.plot(kind='hist', logy=True)\n",
    "plt.title(\"energy_hit_hcal\")\n",
    "plt.show()\n",
    "\n",
    "data.muon_energy.plot(kind='hist', logy=True)\n",
    "plt.title(\"muon_energy\")\n",
    "plt.show()\n",
    "\n",
    "data.muon_energy_hit.plot(kind='hist', logy=True)\n",
    "plt.title(\"muon_energy_hit\")\n",
    "plt.show()\n",
    "\n",
    "data.nhits_ecal.plot(kind='hist')\n",
    "plt.title(\"nhits_ecal\")\n",
    "plt.show()\n",
    "\n",
    "data.nhits_hcal.plot(kind='hist')\n",
    "plt.title(\"nhits_hcal\")\n",
    "plt.show()\n",
    "\n",
    "data.etime.plot(kind='hist')\n",
    "plt.title(\"etime\")\n",
    "plt.show()\n",
    "\n",
    "data.htime.plot(kind='hist')\n",
    "plt.title(\"htime\")\n",
    "plt.show()\n",
    "\n",
    "data.eradius.plot(kind='hist')\n",
    "plt.title(\"eradius\")\n",
    "plt.show()\n",
    "\n",
    "data.hradius.plot(kind='hist')\n",
    "plt.title(\"hradius\")\n",
    "plt.show()\n",
    "\n",
    "data.elayer.plot(kind='hist')\n",
    "plt.title(\"elayer\")\n",
    "plt.show()\n",
    "\n",
    "data.hlayer.plot(kind='hist')\n",
    "plt.title(\"hlayer\")\n",
    "plt.show()\n",
    "\n",
    "data.muon_nhits.plot(kind='hist', logy=True)\n",
    "plt.title(\"muon_nhits\")\n",
    "plt.show()\n",
    "\n",
    "data.muon_time.plot(kind='hist')\n",
    "plt.title(\"muon_time\")\n",
    "plt.show()\n",
    "\n",
    "data.muon_layer.plot(kind='hist')\n",
    "plt.title(\"muon_layer\")\n",
    "plt.show()\n",
    "\n",
    "data.mc_energy.plot(kind='hist')\n",
    "plt.title(\"mc_energy\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "nbins = 50\n",
    "\n",
    "data.eecal.plot(kind='hist', bins=nbins)\n",
    "plt.title(\"eecal\")\n",
    "plt.show()\n",
    "\n",
    "data.ehcal.plot(kind='hist', bins=nbins)\n",
    "plt.title(\"ehcal\")\n",
    "plt.show()\n",
    "\n",
    "data.energy_hit_ecal.plot(kind='hist', logy=True, bins=nbins)\n",
    "plt.title(\"energy_hit_ecal\")\n",
    "plt.show()\n",
    "\n",
    "data.energy_hit_hcal.plot(kind='hist', logy=True, bins=nbins)\n",
    "plt.title(\"energy_hit_hcal\")\n",
    "plt.show()\n",
    "\n",
    "data.muon_energy.plot(kind='hist', logy=True, bins=nbins)\n",
    "plt.title(\"muon_energy\")\n",
    "plt.show()\n",
    "\n",
    "data.muon_energy_hit.plot(kind='hist', logy=True, bins=nbins)\n",
    "plt.title(\"muon_energy_hit\")\n",
    "plt.show()\n",
    "\n",
    "data.nhits_ecal.plot(kind='hist', bins=nbins)\n",
    "plt.title(\"nhits_ecal\")\n",
    "plt.show()\n",
    "\n",
    "data.nhits_hcal.plot(kind='hist', bins=nbins)\n",
    "plt.title(\"nhits_hcal\")\n",
    "plt.show()\n",
    "\n",
    "data.etime.plot(kind='hist', bins=nbins)\n",
    "plt.title(\"etime\")\n",
    "plt.show()\n",
    "\n",
    "data.htime.plot(kind='hist', bins=nbins)\n",
    "plt.title(\"htime\")\n",
    "plt.show()\n",
    "\n",
    "data.eradius.plot(kind='hist', bins=nbins)\n",
    "plt.title(\"eradius\")\n",
    "plt.show()\n",
    "\n",
    "data.hradius.plot(kind='hist', bins=nbins)\n",
    "plt.title(\"hradius\")\n",
    "plt.show()\n",
    "\n",
    "data.elayer.plot(kind='hist', bins=nbins)\n",
    "plt.title(\"elayer\")\n",
    "plt.show()\n",
    "\n",
    "data.hlayer.plot(kind='hist', bins=nbins)\n",
    "plt.title(\"hlayer\")\n",
    "plt.show()\n",
    "\n",
    "data.muon_nhits.plot(kind='hist', logy=True, bins=nbins)\n",
    "plt.title(\"muon_nhits\")\n",
    "plt.show()\n",
    "\n",
    "data.muon_time.plot(kind='hist', bins=nbins)\n",
    "plt.title(\"muon_time\")\n",
    "plt.show()\n",
    "\n",
    "data.muon_layer.plot(kind='hist', logy=True, bins=nbins)\n",
    "plt.title(\"muon_layer\")\n",
    "plt.show()\n",
    "\n",
    "data.mc_energy.plot(kind='hist', bins=nbins)\n",
    "plt.title(\"mc_energy\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
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   "execution_count": null,
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