capstone_baseline_model_ana.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# importing required libraries \n",
    "\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt \n",
    "import numpy as np\n",
    "from sklearn.model_selection import train_test_split\n",
    "import warnings\n",
    "import plotly.express as px\n",
    "import plotly.graph_objects as go\n",
    "\n",
    "warnings.simplefilter(\"ignore\")\n",
    "\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Baseline Model F1\n",
    "\n",
    "- The front position on the grid will dictate a top 3 finish/podium finish"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "ml_dataframe_df = pd.read_csv(\"data/ml_dataframe.csv\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "What is needed:\n",
    "\n",
    "- Grid\n",
    "- DriverId\n",
    "- RaceId\n",
    "- Position Order"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2111 entries, 0 to 2110\n",
      "Data columns (total 95 columns):\n",
      " #   Column                     Non-Null Count  Dtype  \n",
      "---  ------                     --------------  -----  \n",
      " 0   driverId                   2111 non-null   float64\n",
      " 1   raceId                     2111 non-null   float64\n",
      " 2   GP                         2111 non-null   object \n",
      " 3   year_x                     2111 non-null   int64  \n",
      " 4   driverRef_x                2111 non-null   object \n",
      " 5   Full Wet                   2111 non-null   int64  \n",
      " 6   Hard New                   2111 non-null   int64  \n",
      " 7   Hard Used                  2111 non-null   int64  \n",
      " 8   Hyper Soft                 2111 non-null   int64  \n",
      " 9   Intermediate New           2111 non-null   int64  \n",
      " 10  Intermediate Used          2111 non-null   int64  \n",
      " 11  Medium New                 2111 non-null   int64  \n",
      " 12  Medium Used                2111 non-null   int64  \n",
      " 13  Soft New                   2111 non-null   int64  \n",
      " 14  Soft Used                  2111 non-null   int64  \n",
      " 15  Supersoft New              2111 non-null   int64  \n",
      " 16  Supersoft Used             2111 non-null   int64  \n",
      " 17  Ultrasoft New              2111 non-null   int64  \n",
      " 18  Ultrasoft Used             2111 non-null   int64  \n",
      " 19  Wet New                    2111 non-null   int64  \n",
      " 20  circuitId                  2111 non-null   int64  \n",
      " 21  weather_cloudy             2111 non-null   bool   \n",
      " 22  weather_cold               2111 non-null   bool   \n",
      " 23  weather_dry                2111 non-null   bool   \n",
      " 24  weather_warm               2111 non-null   bool   \n",
      " 25  weather_wet                2111 non-null   bool   \n",
      " 26  circuitRef                 2111 non-null   object \n",
      " 27  location_y                 2111 non-null   object \n",
      " 28  country                    2111 non-null   object \n",
      " 29  resultId                   2111 non-null   int64  \n",
      " 30  constructorId              2111 non-null   int64  \n",
      " 31  grid                       2111 non-null   int64  \n",
      " 32  positionText               2111 non-null   object \n",
      " 33  positionOrder              2111 non-null   int64  \n",
      " 34  points                     2111 non-null   float64\n",
      " 35  laps                       2111 non-null   int64  \n",
      " 36  fastestLap                 2111 non-null   object \n",
      " 37  rank                       2111 non-null   int64  \n",
      " 38  fastestLapTime             2111 non-null   object \n",
      " 39  fastestLapSpeed            2111 non-null   object \n",
      " 40  statusId                   2111 non-null   int64  \n",
      " 41  nationality                2111 non-null   object \n",
      " 42  pit_stop_1_lap_x           2111 non-null   float64\n",
      " 43  pit_stop_1_time_x          2111 non-null   object \n",
      " 44  pit_stop_1_duration_x      2111 non-null   object \n",
      " 45  pit_stop_1_milliseconds_x  2111 non-null   float64\n",
      " 46  pit_stop_2_lap_x           2111 non-null   float64\n",
      " 47  pit_stop_2_time_x          2111 non-null   object \n",
      " 48  pit_stop_2_duration_x      2111 non-null   object \n",
      " 49  pit_stop_2_milliseconds_x  2111 non-null   float64\n",
      " 50  pit_stop_3_lap_x           2111 non-null   float64\n",
      " 51  pit_stop_3_time_x          2111 non-null   object \n",
      " 52  pit_stop_3_duration_x      2111 non-null   object \n",
      " 53  pit_stop_3_milliseconds_x  2111 non-null   float64\n",
      " 54  pit_stop_4_lap_x           2111 non-null   float64\n",
      " 55  pit_stop_4_time_x          2111 non-null   object \n",
      " 56  pit_stop_4_duration_x      2111 non-null   object \n",
      " 57  pit_stop_4_milliseconds_x  2111 non-null   float64\n",
      " 58  pit_stop_5_lap_x           2111 non-null   float64\n",
      " 59  pit_stop_5_time_x          2111 non-null   object \n",
      " 60  pit_stop_5_duration_x      2111 non-null   object \n",
      " 61  pit_stop_5_milliseconds_x  2111 non-null   float64\n",
      " 62  pit_stop_6_lap_x           2111 non-null   float64\n",
      " 63  pit_stop_6_time_x          2111 non-null   object \n",
      " 64  pit_stop_6_duration_x      2111 non-null   object \n",
      " 65  pit_stop_6_milliseconds_x  2111 non-null   float64\n",
      " 66  stop                       2111 non-null   int64  \n",
      " 67  lap                        2111 non-null   int64  \n",
      " 68  time                       2111 non-null   object \n",
      " 69  duration                   2111 non-null   object \n",
      " 70  milliseconds               2111 non-null   int64  \n",
      " 71  pit_stop_1_lap_y           2111 non-null   float64\n",
      " 72  pit_stop_1_time_y          2111 non-null   object \n",
      " 73  pit_stop_1_duration_y      2111 non-null   object \n",
      " 74  pit_stop_1_milliseconds_y  2111 non-null   float64\n",
      " 75  pit_stop_2_lap_y           2111 non-null   float64\n",
      " 76  pit_stop_2_time_y          2111 non-null   object \n",
      " 77  pit_stop_2_duration_y      2111 non-null   object \n",
      " 78  pit_stop_2_milliseconds_y  2111 non-null   float64\n",
      " 79  pit_stop_3_lap_y           2111 non-null   float64\n",
      " 80  pit_stop_3_time_y          2111 non-null   object \n",
      " 81  pit_stop_3_duration_y      2111 non-null   object \n",
      " 82  pit_stop_3_milliseconds_y  2111 non-null   float64\n",
      " 83  pit_stop_4_lap_y           2111 non-null   float64\n",
      " 84  pit_stop_4_time_y          2111 non-null   object \n",
      " 85  pit_stop_4_duration_y      2111 non-null   object \n",
      " 86  pit_stop_4_milliseconds_y  2111 non-null   float64\n",
      " 87  pit_stop_5_lap_y           2111 non-null   float64\n",
      " 88  pit_stop_5_time_y          2111 non-null   object \n",
      " 89  pit_stop_5_duration_y      2111 non-null   object \n",
      " 90  pit_stop_5_milliseconds_y  2111 non-null   float64\n",
      " 91  pit_stop_6_lap_y           2111 non-null   float64\n",
      " 92  pit_stop_6_time_y          2111 non-null   object \n",
      " 93  pit_stop_6_duration_y      2111 non-null   object \n",
      " 94  pit_stop_6_milliseconds_y  2111 non-null   float64\n",
      "dtypes: bool(5), float64(27), int64(27), object(36)\n",
      "memory usage: 1.5+ MB\n"
     ]
    }
   ],
   "source": [
    "ml_dataframe_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2012, 2013, 2015, 2016, 2017, 2018, 2019, 2022, 2014, 2020, 2021])"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ml_dataframe_df.year_x.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "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>driverId</th>\n",
       "      <th>raceId</th>\n",
       "      <th>GP</th>\n",
       "      <th>year_x</th>\n",
       "      <th>driverRef_x</th>\n",
       "      <th>Full Wet</th>\n",
       "      <th>Hard New</th>\n",
       "      <th>Hard Used</th>\n",
       "      <th>Hyper Soft</th>\n",
       "      <th>Intermediate New</th>\n",
       "      <th>Intermediate Used</th>\n",
       "      <th>Medium New</th>\n",
       "      <th>Medium Used</th>\n",
       "      <th>Soft New</th>\n",
       "      <th>Soft Used</th>\n",
       "      <th>Supersoft New</th>\n",
       "      <th>Supersoft Used</th>\n",
       "      <th>Ultrasoft New</th>\n",
       "      <th>Ultrasoft Used</th>\n",
       "      <th>Wet New</th>\n",
       "      <th>circuitId</th>\n",
       "      <th>weather_cloudy</th>\n",
       "      <th>weather_cold</th>\n",
       "      <th>weather_dry</th>\n",
       "      <th>weather_warm</th>\n",
       "      <th>weather_wet</th>\n",
       "      <th>circuitRef</th>\n",
       "      <th>location_y</th>\n",
       "      <th>country</th>\n",
       "      <th>resultId</th>\n",
       "      <th>constructorId</th>\n",
       "      <th>grid</th>\n",
       "      <th>positionText</th>\n",
       "      <th>positionOrder</th>\n",
       "      <th>points</th>\n",
       "      <th>laps</th>\n",
       "      <th>fastestLap</th>\n",
       "      <th>rank</th>\n",
       "      <th>fastestLapTime</th>\n",
       "      <th>fastestLapSpeed</th>\n",
       "      <th>statusId</th>\n",
       "      <th>nationality</th>\n",
       "      <th>pit_stop_1_lap_x</th>\n",
       "      <th>pit_stop_1_time_x</th>\n",
       "      <th>pit_stop_1_duration_x</th>\n",
       "      <th>pit_stop_1_milliseconds_x</th>\n",
       "      <th>pit_stop_2_lap_x</th>\n",
       "      <th>pit_stop_2_time_x</th>\n",
       "      <th>pit_stop_2_duration_x</th>\n",
       "      <th>pit_stop_2_milliseconds_x</th>\n",
       "      <th>pit_stop_3_lap_x</th>\n",
       "      <th>pit_stop_3_time_x</th>\n",
       "      <th>pit_stop_3_duration_x</th>\n",
       "      <th>pit_stop_3_milliseconds_x</th>\n",
       "      <th>pit_stop_4_lap_x</th>\n",
       "      <th>pit_stop_4_time_x</th>\n",
       "      <th>pit_stop_4_duration_x</th>\n",
       "      <th>pit_stop_4_milliseconds_x</th>\n",
       "      <th>pit_stop_5_lap_x</th>\n",
       "      <th>pit_stop_5_time_x</th>\n",
       "      <th>pit_stop_5_duration_x</th>\n",
       "      <th>pit_stop_5_milliseconds_x</th>\n",
       "      <th>pit_stop_6_lap_x</th>\n",
       "      <th>pit_stop_6_time_x</th>\n",
       "      <th>pit_stop_6_duration_x</th>\n",
       "      <th>pit_stop_6_milliseconds_x</th>\n",
       "      <th>stop</th>\n",
       "      <th>lap</th>\n",
       "      <th>time</th>\n",
       "      <th>duration</th>\n",
       "      <th>milliseconds</th>\n",
       "      <th>pit_stop_1_lap_y</th>\n",
       "      <th>pit_stop_1_time_y</th>\n",
       "      <th>pit_stop_1_duration_y</th>\n",
       "      <th>pit_stop_1_milliseconds_y</th>\n",
       "      <th>pit_stop_2_lap_y</th>\n",
       "      <th>pit_stop_2_time_y</th>\n",
       "      <th>pit_stop_2_duration_y</th>\n",
       "      <th>pit_stop_2_milliseconds_y</th>\n",
       "      <th>pit_stop_3_lap_y</th>\n",
       "      <th>pit_stop_3_time_y</th>\n",
       "      <th>pit_stop_3_duration_y</th>\n",
       "      <th>pit_stop_3_milliseconds_y</th>\n",
       "      <th>pit_stop_4_lap_y</th>\n",
       "      <th>pit_stop_4_time_y</th>\n",
       "      <th>pit_stop_4_duration_y</th>\n",
       "      <th>pit_stop_4_milliseconds_y</th>\n",
       "      <th>pit_stop_5_lap_y</th>\n",
       "      <th>pit_stop_5_time_y</th>\n",
       "      <th>pit_stop_5_duration_y</th>\n",
       "      <th>pit_stop_5_milliseconds_y</th>\n",
       "      <th>pit_stop_6_lap_y</th>\n",
       "      <th>pit_stop_6_time_y</th>\n",
       "      <th>pit_stop_6_duration_y</th>\n",
       "      <th>pit_stop_6_milliseconds_y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>860.0</td>\n",
       "      <td>Australia</td>\n",
       "      <td>2012</td>\n",
       "      <td>hamilton</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>41</td>\n",
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       "      <td>0</td>\n",
       "      <td>17</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>albert_park</td>\n",
       "      <td>Melbourne</td>\n",
       "      <td>Australia</td>\n",
       "      <td>21234</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>15.0</td>\n",
       "      <td>58</td>\n",
       "      <td>57</td>\n",
       "      <td>4</td>\n",
       "      <td>1:29.538</td>\n",
       "      <td>213.214</td>\n",
       "      <td>1</td>\n",
       "      <td>British</td>\n",
       "      <td>17.0</td>\n",
       "      <td>17:30:12</td>\n",
       "      <td>22.862</td>\n",
       "      <td>22862.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>17:59:54</td>\n",
       "      <td>23.464</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "      <td>17:30:12</td>\n",
       "      <td>22.862</td>\n",
       "      <td>22862</td>\n",
       "      <td>17.0</td>\n",
       "      <td>17:30:12</td>\n",
       "      <td>22.862</td>\n",
       "      <td>22862.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>17:59:54</td>\n",
       "      <td>23.464</td>\n",
       "      <td>23464.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>880.0</td>\n",
       "      <td>Australia</td>\n",
       "      <td>2013</td>\n",
       "      <td>hamilton</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>albert_park</td>\n",
       "      <td>Melbourne</td>\n",
       "      <td>Australia</td>\n",
       "      <td>21716</td>\n",
       "      <td>131</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>10.0</td>\n",
       "      <td>58</td>\n",
       "      <td>45</td>\n",
       "      <td>5</td>\n",
       "      <td>1:29.759</td>\n",
       "      <td>212.689</td>\n",
       "      <td>1</td>\n",
       "      <td>British</td>\n",
       "      <td>13.0</td>\n",
       "      <td>17:23:56</td>\n",
       "      <td>22.155</td>\n",
       "      <td>22155.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>17:52:21</td>\n",
       "      <td>22.015</td>\n",
       "      <td>22015.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>18:09:35</td>\n",
       "      <td>21.778</td>\n",
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       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>17:23:56</td>\n",
       "      <td>22.155</td>\n",
       "      <td>22155</td>\n",
       "      <td>13.0</td>\n",
       "      <td>17:23:56</td>\n",
       "      <td>22.155</td>\n",
       "      <td>22155.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>17:52:21</td>\n",
       "      <td>22.015</td>\n",
       "      <td>22015.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>18:09:35</td>\n",
       "      <td>21.778</td>\n",
       "      <td>21778.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.0</td>\n",
       "      <td>926.0</td>\n",
       "      <td>Australia</td>\n",
       "      <td>2015</td>\n",
       "      <td>hamilton</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>albert_park</td>\n",
       "      <td>Melbourne</td>\n",
       "      <td>Australia</td>\n",
       "      <td>22538</td>\n",
       "      <td>131</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>25.0</td>\n",
       "      <td>58</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "      <td>1:30.945</td>\n",
       "      <td>209.915</td>\n",
       "      <td>1</td>\n",
       "      <td>British</td>\n",
       "      <td>25.0</td>\n",
       "      <td>16:44:32</td>\n",
       "      <td>22.295</td>\n",
       "      <td>22295.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>25</td>\n",
       "      <td>16:44:32</td>\n",
       "      <td>22.295</td>\n",
       "      <td>22295</td>\n",
       "      <td>25.0</td>\n",
       "      <td>16:44:32</td>\n",
       "      <td>22.295</td>\n",
       "      <td>22295.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.0</td>\n",
       "      <td>948.0</td>\n",
       "      <td>Australia</td>\n",
       "      <td>2016</td>\n",
       "      <td>hamilton</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>41</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>albert_park</td>\n",
       "      <td>Melbourne</td>\n",
       "      <td>Australia</td>\n",
       "      <td>22918</td>\n",
       "      <td>131</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>18.0</td>\n",
       "      <td>57</td>\n",
       "      <td>48</td>\n",
       "      <td>4</td>\n",
       "      <td>1:30.646</td>\n",
       "      <td>210.608</td>\n",
       "      <td>1</td>\n",
       "      <td>British</td>\n",
       "      <td>16.0</td>\n",
       "      <td>16:32:16</td>\n",
       "      <td>21.940</td>\n",
       "      <td>21940.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>16:37:09</td>\n",
       "      <td>18:10.087</td>\n",
       "      <td>1090087.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "      <td>16:32:16</td>\n",
       "      <td>21.940</td>\n",
       "      <td>21940</td>\n",
       "      <td>16.0</td>\n",
       "      <td>16:32:16</td>\n",
       "      <td>21.940</td>\n",
       "      <td>21940.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>16:37:09</td>\n",
       "      <td>18:10.087</td>\n",
       "      <td>1090087.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.0</td>\n",
       "      <td>969.0</td>\n",
       "      <td>Australia</td>\n",
       "      <td>2017</td>\n",
       "      <td>hamilton</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>albert_park</td>\n",
       "      <td>Melbourne</td>\n",
       "      <td>Australia</td>\n",
       "      <td>23380</td>\n",
       "      <td>131</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>18.0</td>\n",
       "      <td>57</td>\n",
       "      <td>44</td>\n",
       "      <td>6</td>\n",
       "      <td>1:27.033</td>\n",
       "      <td>219.351</td>\n",
       "      <td>1</td>\n",
       "      <td>British</td>\n",
       "      <td>17.0</td>\n",
       "      <td>16:31:40</td>\n",
       "      <td>21.709</td>\n",
       "      <td>21709.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "      <td>16:31:40</td>\n",
       "      <td>21.709</td>\n",
       "      <td>21709</td>\n",
       "      <td>17.0</td>\n",
       "      <td>16:31:40</td>\n",
       "      <td>21.709</td>\n",
       "      <td>21709.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1.0</td>\n",
       "      <td>989.0</td>\n",
       "      <td>Australia</td>\n",
       "      <td>2018</td>\n",
       "      <td>hamilton</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>albert_park</td>\n",
       "      <td>Melbourne</td>\n",
       "      <td>Australia</td>\n",
       "      <td>23783</td>\n",
       "      <td>131</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>18.0</td>\n",
       "      <td>58</td>\n",
       "      <td>50</td>\n",
       "      <td>3</td>\n",
       "      <td>1:26.444</td>\n",
       "      <td>220.845</td>\n",
       "      <td>1</td>\n",
       "      <td>British</td>\n",
       "      <td>19.0</td>\n",
       "      <td>16:41:30</td>\n",
       "      <td>21.821</td>\n",
       "      <td>21821.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>19</td>\n",
       "      <td>16:41:30</td>\n",
       "      <td>21.821</td>\n",
       "      <td>21821</td>\n",
       "      <td>19.0</td>\n",
       "      <td>16:41:30</td>\n",
       "      <td>21.821</td>\n",
       "      <td>21821.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1010.0</td>\n",
       "      <td>Australia</td>\n",
       "      <td>2019</td>\n",
       "      <td>hamilton</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>43</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>albert_park</td>\n",
       "      <td>Melbourne</td>\n",
       "      <td>Australia</td>\n",
       "      <td>24204</td>\n",
       "      <td>131</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>18.0</td>\n",
       "      <td>58</td>\n",
       "      <td>57</td>\n",
       "      <td>2</td>\n",
       "      <td>1:26.057</td>\n",
       "      <td>221.839</td>\n",
       "      <td>1</td>\n",
       "      <td>British</td>\n",
       "      <td>15.0</td>\n",
       "      <td>16:35:52</td>\n",
       "      <td>21.515</td>\n",
       "      <td>21515.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>16:35:52</td>\n",
       "      <td>21.515</td>\n",
       "      <td>21515</td>\n",
       "      <td>15.0</td>\n",
       "      <td>16:35:52</td>\n",
       "      <td>21.515</td>\n",
       "      <td>21515.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1076.0</td>\n",
       "      <td>Australia</td>\n",
       "      <td>2022</td>\n",
       "      <td>hamilton</td>\n",
       "      <td>0</td>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>albert_park</td>\n",
       "      <td>Melbourne</td>\n",
       "      <td>Australia</td>\n",
       "      <td>25449</td>\n",
       "      <td>131</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>12.0</td>\n",
       "      <td>58</td>\n",
       "      <td>51</td>\n",
       "      <td>7</td>\n",
       "      <td>1:21.886</td>\n",
       "      <td>232.039</td>\n",
       "      <td>1</td>\n",
       "      <td>British</td>\n",
       "      <td>22.0</td>\n",
       "      <td>15:37:22</td>\n",
       "      <td>17.877</td>\n",
       "      <td>17877.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>22</td>\n",
       "      <td>15:37:22</td>\n",
       "      <td>17.877</td>\n",
       "      <td>17877</td>\n",
       "      <td>22.0</td>\n",
       "      <td>15:37:22</td>\n",
       "      <td>17.877</td>\n",
       "      <td>17877.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1.0</td>\n",
       "      <td>861.0</td>\n",
       "      <td>Malaysia</td>\n",
       "      <td>2012</td>\n",
       "      <td>hamilton</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>sepang</td>\n",
       "      <td>Kuala Lumpur</td>\n",
       "      <td>Malaysia</td>\n",
       "      <td>21258</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>15.0</td>\n",
       "      <td>56</td>\n",
       "      <td>50</td>\n",
       "      <td>6</td>\n",
       "      <td>1:41.539</td>\n",
       "      <td>196.523</td>\n",
       "      <td>1</td>\n",
       "      <td>British</td>\n",
       "      <td>5.0</td>\n",
       "      <td>16:14:12</td>\n",
       "      <td>24.271</td>\n",
       "      <td>24271.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>17:28:30</td>\n",
       "      <td>27.961</td>\n",
       "      <td>27961.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>18:22:31</td>\n",
       "      <td>26.338</td>\n",
       "      <td>26338.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>16:14:12</td>\n",
       "      <td>24.271</td>\n",
       "      <td>24271</td>\n",
       "      <td>5.0</td>\n",
       "      <td>16:14:12</td>\n",
       "      <td>24.271</td>\n",
       "      <td>24271.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>17:28:30</td>\n",
       "      <td>27.961</td>\n",
       "      <td>27961.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>18:22:31</td>\n",
       "      <td>26.338</td>\n",
       "      <td>26338.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1.0</td>\n",
       "      <td>881.0</td>\n",
       "      <td>Malaysia</td>\n",
       "      <td>2013</td>\n",
       "      <td>hamilton</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>23</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>sepang</td>\n",
       "      <td>Kuala Lumpur</td>\n",
       "      <td>Malaysia</td>\n",
       "      <td>21736</td>\n",
       "      <td>131</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>15.0</td>\n",
       "      <td>56</td>\n",
       "      <td>32</td>\n",
       "      <td>10</td>\n",
       "      <td>1:41.001</td>\n",
       "      <td>197.570</td>\n",
       "      <td>1</td>\n",
       "      <td>British</td>\n",
       "      <td>7.0</td>\n",
       "      <td>16:17:30</td>\n",
       "      <td>24.933</td>\n",
       "      <td>24933.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>16:42:22</td>\n",
       "      <td>21.465</td>\n",
       "      <td>21465.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>16:58:00</td>\n",
       "      <td>21.549</td>\n",
       "      <td>21549.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>17:17:00</td>\n",
       "      <td>21.271</td>\n",
       "      <td>21271.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>16:17:30</td>\n",
       "      <td>24.933</td>\n",
       "      <td>24933</td>\n",
       "      <td>7.0</td>\n",
       "      <td>16:17:30</td>\n",
       "      <td>24.933</td>\n",
       "      <td>24933.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>16:42:22</td>\n",
       "      <td>21.465</td>\n",
       "      <td>21465.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>16:58:00</td>\n",
       "      <td>21.549</td>\n",
       "      <td>21549.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>17:17:00</td>\n",
       "      <td>21.271</td>\n",
       "      <td>21271.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1.0</td>\n",
       "      <td>901.0</td>\n",
       "      <td>Malaysia</td>\n",
       "      <td>2014</td>\n",
       "      <td>hamilton</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>51</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>sepang</td>\n",
       "      <td>Kuala Lumpur</td>\n",
       "      <td>Malaysia</td>\n",
       "      <td>22152</td>\n",
       "      <td>131</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>25.0</td>\n",
       "      <td>56</td>\n",
       "      <td>53</td>\n",
       "      <td>1</td>\n",
       "      <td>1:43.066</td>\n",
       "      <td>193.611</td>\n",
       "      <td>1</td>\n",
       "      <td>British</td>\n",
       "      <td>15.0</td>\n",
       "      <td>16:30:55</td>\n",
       "      <td>24.604</td>\n",
       "      <td>24604.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>17:03:18</td>\n",
       "      <td>25.296</td>\n",
       "      <td>25296.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>17:35:18</td>\n",
       "      <td>24.484</td>\n",
       "      <td>24484.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>16:30:55</td>\n",
       "      <td>24.604</td>\n",
       "      <td>24604</td>\n",
       "      <td>15.0</td>\n",
       "      <td>16:30:55</td>\n",
       "      <td>24.604</td>\n",
       "      <td>24604.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>17:03:18</td>\n",
       "      <td>25.296</td>\n",
       "      <td>25296.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>17:35:18</td>\n",
       "      <td>24.484</td>\n",
       "      <td>24484.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1.0</td>\n",
       "      <td>927.0</td>\n",
       "      <td>Malaysia</td>\n",
       "      <td>2015</td>\n",
       "      <td>hamilton</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>sepang</td>\n",
       "      <td>Kuala Lumpur</td>\n",
       "      <td>Malaysia</td>\n",
       "      <td>22557</td>\n",
       "      <td>131</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>18.0</td>\n",
       "      <td>56</td>\n",
       "      <td>45</td>\n",
       "      <td>2</td>\n",
       "      <td>1:43.125</td>\n",
       "      <td>193.501</td>\n",
       "      <td>1</td>\n",
       "      <td>British</td>\n",
       "      <td>4.0</td>\n",
       "      <td>15:11:07</td>\n",
       "      <td>26.094</td>\n",
       "      <td>26094.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>15:48:25</td>\n",
       "      <td>24.595</td>\n",
       "      <td>24595.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>16:13:14</td>\n",
       "      <td>24.179</td>\n",
       "      <td>24179.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>15:11:07</td>\n",
       "      <td>26.094</td>\n",
       "      <td>26094</td>\n",
       "      <td>4.0</td>\n",
       "      <td>15:11:07</td>\n",
       "      <td>26.094</td>\n",
       "      <td>26094.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>15:48:25</td>\n",
       "      <td>24.595</td>\n",
       "      <td>24595.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>16:13:14</td>\n",
       "      <td>24.179</td>\n",
       "      <td>24179.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1.0</td>\n",
       "      <td>963.0</td>\n",
       "      <td>Malaysia</td>\n",
       "      <td>2016</td>\n",
       "      <td>hamilton</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>sepang</td>\n",
       "      <td>Kuala Lumpur</td>\n",
       "      <td>Malaysia</td>\n",
       "      <td>23264</td>\n",
       "      <td>131</td>\n",
       "      <td>1</td>\n",
       "      <td>R</td>\n",
       "      <td>18</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40</td>\n",
       "      <td>31</td>\n",
       "      <td>7</td>\n",
       "      <td>1:38.595</td>\n",
       "      <td>202.391</td>\n",
       "      <td>5</td>\n",
       "      <td>British</td>\n",
       "      <td>20.0</td>\n",
       "      <td>15:39:17</td>\n",
       "      <td>23.689</td>\n",
       "      <td>23689.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>20</td>\n",
       "      <td>15:39:17</td>\n",
       "      <td>23.689</td>\n",
       "      <td>23689</td>\n",
       "      <td>20.0</td>\n",
       "      <td>15:39:17</td>\n",
       "      <td>23.689</td>\n",
       "      <td>23689.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1.0</td>\n",
       "      <td>983.0</td>\n",
       "      <td>Malaysia</td>\n",
       "      <td>2017</td>\n",
       "      <td>hamilton</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>sepang</td>\n",
       "      <td>Kuala Lumpur</td>\n",
       "      <td>Malaysia</td>\n",
       "      <td>23663</td>\n",
       "      <td>131</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>18.0</td>\n",
       "      <td>56</td>\n",
       "      <td>48</td>\n",
       "      <td>3</td>\n",
       "      <td>1:34.452</td>\n",
       "      <td>211.269</td>\n",
       "      <td>1</td>\n",
       "      <td>British</td>\n",
       "      <td>26.0</td>\n",
       "      <td>15:45:40</td>\n",
       "      <td>23.489</td>\n",
       "      <td>23489.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>26</td>\n",
       "      <td>15:45:40</td>\n",
       "      <td>23.489</td>\n",
       "      <td>23489</td>\n",
       "      <td>26.0</td>\n",
       "      <td>15:45:40</td>\n",
       "      <td>23.489</td>\n",
       "      <td>23489.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1.0</td>\n",
       "      <td>863.0</td>\n",
       "      <td>Bahrain</td>\n",
       "      <td>2012</td>\n",
       "      <td>hamilton</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>bahrain</td>\n",
       "      <td>Sakhir</td>\n",
       "      <td>Bahrain</td>\n",
       "      <td>21311</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>4.0</td>\n",
       "      <td>57</td>\n",
       "      <td>38</td>\n",
       "      <td>7</td>\n",
       "      <td>1:37.733</td>\n",
       "      <td>199.351</td>\n",
       "      <td>1</td>\n",
       "      <td>British</td>\n",
       "      <td>9.0</td>\n",
       "      <td>15:18:49</td>\n",
       "      <td>28.341</td>\n",
       "      <td>28341.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>15:42:46</td>\n",
       "      <td>30.622</td>\n",
       "      <td>30622.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>16:04:54</td>\n",
       "      <td>23.696</td>\n",
       "      <td>23696.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>15:18:49</td>\n",
       "      <td>28.341</td>\n",
       "      <td>28341</td>\n",
       "      <td>9.0</td>\n",
       "      <td>15:18:49</td>\n",
       "      <td>28.341</td>\n",
       "      <td>28341.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>15:42:46</td>\n",
       "      <td>30.622</td>\n",
       "      <td>30622.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>16:04:54</td>\n",
       "      <td>23.696</td>\n",
       "      <td>23696.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1.0</td>\n",
       "      <td>883.0</td>\n",
       "      <td>Bahrain</td>\n",
       "      <td>2013</td>\n",
       "      <td>hamilton</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>bahrain</td>\n",
       "      <td>Sakhir</td>\n",
       "      <td>Bahrain</td>\n",
       "      <td>21782</td>\n",
       "      <td>131</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>10.0</td>\n",
       "      <td>57</td>\n",
       "      <td>48</td>\n",
       "      <td>11</td>\n",
       "      <td>1:38.204</td>\n",
       "      <td>198.395</td>\n",
       "      <td>1</td>\n",
       "      <td>British</td>\n",
       "      <td>10.0</td>\n",
       "      <td>15:21:24</td>\n",
       "      <td>22.072</td>\n",
       "      <td>22072.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>15:42:02</td>\n",
       "      <td>21.444</td>\n",
       "      <td>21444.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>16:09:03</td>\n",
       "      <td>21.600</td>\n",
       "      <td>21600.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>15:21:24</td>\n",
       "      <td>22.072</td>\n",
       "      <td>22072</td>\n",
       "      <td>10.0</td>\n",
       "      <td>15:21:24</td>\n",
       "      <td>22.072</td>\n",
       "      <td>22072.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>15:42:02</td>\n",
       "      <td>21.444</td>\n",
       "      <td>21444.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>16:09:03</td>\n",
       "      <td>21.600</td>\n",
       "      <td>21600.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1.0</td>\n",
       "      <td>902.0</td>\n",
       "      <td>Bahrain</td>\n",
       "      <td>2014</td>\n",
       "      <td>hamilton</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>22</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>bahrain</td>\n",
       "      <td>Sakhir</td>\n",
       "      <td>Bahrain</td>\n",
       "      <td>22174</td>\n",
       "      <td>131</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>25.0</td>\n",
       "      <td>57</td>\n",
       "      <td>49</td>\n",
       "      <td>2</td>\n",
       "      <td>1:37.108</td>\n",
       "      <td>200.634</td>\n",
       "      <td>1</td>\n",
       "      <td>British</td>\n",
       "      <td>19.0</td>\n",
       "      <td>18:36:24</td>\n",
       "      <td>24.687</td>\n",
       "      <td>24687.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>19:13:29</td>\n",
       "      <td>25.146</td>\n",
       "      <td>25146.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>19</td>\n",
       "      <td>18:36:24</td>\n",
       "      <td>24.687</td>\n",
       "      <td>24687</td>\n",
       "      <td>19.0</td>\n",
       "      <td>18:36:24</td>\n",
       "      <td>24.687</td>\n",
       "      <td>24687.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>19:13:29</td>\n",
       "      <td>25.146</td>\n",
       "      <td>25146.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1.0</td>\n",
       "      <td>929.0</td>\n",
       "      <td>Bahrain</td>\n",
       "      <td>2015</td>\n",
       "      <td>hamilton</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>bahrain</td>\n",
       "      <td>Sakhir</td>\n",
       "      <td>Bahrain</td>\n",
       "      <td>22596</td>\n",
       "      <td>131</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>25.0</td>\n",
       "      <td>57</td>\n",
       "      <td>38</td>\n",
       "      <td>5</td>\n",
       "      <td>1:37.857</td>\n",
       "      <td>199.098</td>\n",
       "      <td>1</td>\n",
       "      <td>British</td>\n",
       "      <td>15.0</td>\n",
       "      <td>18:28:52</td>\n",
       "      <td>25.791</td>\n",
       "      <td>25791.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>18:59:01</td>\n",
       "      <td>24.528</td>\n",
       "      <td>24528.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>18:28:52</td>\n",
       "      <td>25.791</td>\n",
       "      <td>25791</td>\n",
       "      <td>15.0</td>\n",
       "      <td>18:28:52</td>\n",
       "      <td>25.791</td>\n",
       "      <td>25791.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>18:59:01</td>\n",
       "      <td>24.528</td>\n",
       "      <td>24528.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1.0</td>\n",
       "      <td>949.0</td>\n",
       "      <td>Bahrain</td>\n",
       "      <td>2016</td>\n",
       "      <td>hamilton</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>bahrain</td>\n",
       "      <td>Sakhir</td>\n",
       "      <td>Bahrain</td>\n",
       "      <td>22941</td>\n",
       "      <td>131</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>15.0</td>\n",
       "      <td>57</td>\n",
       "      <td>43</td>\n",
       "      <td>2</td>\n",
       "      <td>1:34.677</td>\n",
       "      <td>205.785</td>\n",
       "      <td>1</td>\n",
       "      <td>British</td>\n",
       "      <td>13.0</td>\n",
       "      <td>18:25:20</td>\n",
       "      <td>24.512</td>\n",
       "      <td>24512.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>18:50:13</td>\n",
       "      <td>25.030</td>\n",
       "      <td>25030.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>19:11:34</td>\n",
       "      <td>24.524</td>\n",
       "      <td>24524.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>18:25:20</td>\n",
       "      <td>24.512</td>\n",
       "      <td>24512</td>\n",
       "      <td>13.0</td>\n",
       "      <td>18:25:20</td>\n",
       "      <td>24.512</td>\n",
       "      <td>24512.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>18:50:13</td>\n",
       "      <td>25.030</td>\n",
       "      <td>25030.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>19:11:34</td>\n",
       "      <td>24.524</td>\n",
       "      <td>24524.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1.0</td>\n",
       "      <td>971.0</td>\n",
       "      <td>Bahrain</td>\n",
       "      <td>2017</td>\n",
       "      <td>hamilton</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>28</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>bahrain</td>\n",
       "      <td>Sakhir</td>\n",
       "      <td>Bahrain</td>\n",
       "      <td>23420</td>\n",
       "      <td>131</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>18.0</td>\n",
       "      <td>57</td>\n",
       "      <td>46</td>\n",
       "      <td>1</td>\n",
       "      <td>1:32.798</td>\n",
       "      <td>209.952</td>\n",
       "      <td>1</td>\n",
       "      <td>British</td>\n",
       "      <td>13.0</td>\n",
       "      <td>18:24:59</td>\n",
       "      <td>30.687</td>\n",
       "      <td>30687.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>19:12:14</td>\n",
       "      <td>30.682</td>\n",
       "      <td>30682.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>18:24:59</td>\n",
       "      <td>30.687</td>\n",
       "      <td>30687</td>\n",
       "      <td>13.0</td>\n",
       "      <td>18:24:59</td>\n",
       "      <td>30.687</td>\n",
       "      <td>30687.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>19:12:14</td>\n",
       "      <td>30.682</td>\n",
       "      <td>30682.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    driverId  raceId         GP  year_x driverRef_x  Full Wet  Hard New   \n",
       "0        1.0   860.0  Australia    2012    hamilton         0         0  \\\n",
       "1        1.0   880.0  Australia    2013    hamilton         0         0   \n",
       "2        1.0   926.0  Australia    2015    hamilton         0         0   \n",
       "3        1.0   948.0  Australia    2016    hamilton         0         0   \n",
       "4        1.0   969.0  Australia    2017    hamilton         0         0   \n",
       "5        1.0   989.0  Australia    2018    hamilton         0         0   \n",
       "6        1.0  1010.0  Australia    2019    hamilton         0         0   \n",
       "7        1.0  1076.0  Australia    2022    hamilton         0        36   \n",
       "8        1.0   861.0   Malaysia    2012    hamilton         0         0   \n",
       "9        1.0   881.0   Malaysia    2013    hamilton         0        11   \n",
       "10       1.0   901.0   Malaysia    2014    hamilton         0         5   \n",
       "11       1.0   927.0   Malaysia    2015    hamilton         0        38   \n",
       "12       1.0   963.0   Malaysia    2016    hamilton         0        20   \n",
       "13       1.0   983.0   Malaysia    2017    hamilton         0         0   \n",
       "14       1.0   863.0    Bahrain    2012    hamilton         0         0   \n",
       "15       1.0   883.0    Bahrain    2013    hamilton         0        35   \n",
       "16       1.0   902.0    Bahrain    2014    hamilton         0         0   \n",
       "17       1.0   929.0    Bahrain    2015    hamilton         0         0   \n",
       "18       1.0   949.0    Bahrain    2016    hamilton         0         0   \n",
       "19       1.0   971.0    Bahrain    2017    hamilton         0         0   \n",
       "\n",
       "    Hard Used  Hyper Soft  Intermediate New  Intermediate Used  Medium New   \n",
       "0           0           0                 0                  0          41  \\\n",
       "1           0           0                 0                  0          45   \n",
       "2           0           0                 0                  0          33   \n",
       "3           0           0                 0                  0          41   \n",
       "4           0           0                 0                  0           0   \n",
       "5           0           0                 0                  0           0   \n",
       "6           0           0                 0                  0          43   \n",
       "7           0           0                 0                  0          22   \n",
       "8           0           0                30                  0           0   \n",
       "9           0           0                 7                  0          23   \n",
       "10          0           0                 0                  0          51   \n",
       "11          0           0                 0                  0          14   \n",
       "12          0           0                 0                  0           0   \n",
       "13          0           0                 0                  0           0   \n",
       "14          0           0                 0                  0          35   \n",
       "15          0           0                 0                  0           0   \n",
       "16          0           0                 0                  0          16   \n",
       "17          0           0                 0                  0          24   \n",
       "18          0           0                 0                  0          15   \n",
       "19          0           0                 0                  0           0   \n",
       "\n",
       "    Medium Used  Soft New  Soft Used  Supersoft New  Supersoft Used   \n",
       "0             0         0         17              0               0  \\\n",
       "1             0         0          0              0              13   \n",
       "2             0         0         25              0               0   \n",
       "3             0         0          0              0              16   \n",
       "4             0        40          0              0               0   \n",
       "5             0        39          0              0               0   \n",
       "6             0         0         15              0               0   \n",
       "7             0         0          0              0               0   \n",
       "8            17         0          0              0               0   \n",
       "9            15         0          0              0               0   \n",
       "10            0         0          0              0               0   \n",
       "11            4         0          0              0               0   \n",
       "12            0         0         20              0               0   \n",
       "13            0        30          0              0              26   \n",
       "14           13         0          9              0               0   \n",
       "15           22         0          0              0               0   \n",
       "16            0        22         19              0               0   \n",
       "17            0        18         15              0               0   \n",
       "18            0        16          0              0              26   \n",
       "19            0        28         16              0              13   \n",
       "\n",
       "    Ultrasoft New  Ultrasoft Used  Wet New  circuitId  weather_cloudy   \n",
       "0               0               0        0          1           False  \\\n",
       "1               0               0        0          1           False   \n",
       "2               0               0        0          1            True   \n",
       "3               0               0        0          1            True   \n",
       "4               0              17        0          1            True   \n",
       "5               0              19        0          1           False   \n",
       "6               0               0        0          1           False   \n",
       "7               0               0        0          1            True   \n",
       "8               0               0        9          2           False   \n",
       "9               0               0        0          2           False   \n",
       "10              0               0        0          2           False   \n",
       "11              0               0        0          2           False   \n",
       "12              0               0        0          2           False   \n",
       "13              0               0        0          2            True   \n",
       "14              0               0        0          3           False   \n",
       "15              0               0        0          3           False   \n",
       "16              0               0        0          3           False   \n",
       "17              0               0        0          3           False   \n",
       "18              0               0        0          3           False   \n",
       "19              0               0        0          3           False   \n",
       "\n",
       "    weather_cold  weather_dry  weather_warm  weather_wet   circuitRef   \n",
       "0          False        False          True        False  albert_park  \\\n",
       "1          False        False          True        False  albert_park   \n",
       "2          False        False         False        False  albert_park   \n",
       "3          False        False         False        False  albert_park   \n",
       "4          False        False         False        False  albert_park   \n",
       "5          False        False          True        False  albert_park   \n",
       "6          False        False          True        False  albert_park   \n",
       "7          False        False         False        False  albert_park   \n",
       "8          False        False          True        False       sepang   \n",
       "9          False        False          True        False       sepang   \n",
       "10         False         True         False        False       sepang   \n",
       "11         False        False          True        False       sepang   \n",
       "12         False        False          True        False       sepang   \n",
       "13         False        False         False        False       sepang   \n",
       "14         False        False          True        False      bahrain   \n",
       "15         False        False          True        False      bahrain   \n",
       "16         False         True         False        False      bahrain   \n",
       "17         False        False          True        False      bahrain   \n",
       "18         False         True         False        False      bahrain   \n",
       "19         False        False          True        False      bahrain   \n",
       "\n",
       "      location_y    country  resultId  constructorId  grid positionText   \n",
       "0      Melbourne  Australia     21234              1     1            3  \\\n",
       "1      Melbourne  Australia     21716            131     3            5   \n",
       "2      Melbourne  Australia     22538            131     1            1   \n",
       "3      Melbourne  Australia     22918            131     1            2   \n",
       "4      Melbourne  Australia     23380            131     1            2   \n",
       "5      Melbourne  Australia     23783            131     1            2   \n",
       "6      Melbourne  Australia     24204            131     1            2   \n",
       "7      Melbourne  Australia     25449            131     5            4   \n",
       "8   Kuala Lumpur   Malaysia     21258              1     1            3   \n",
       "9   Kuala Lumpur   Malaysia     21736            131     4            3   \n",
       "10  Kuala Lumpur   Malaysia     22152            131     1            1   \n",
       "11  Kuala Lumpur   Malaysia     22557            131     1            2   \n",
       "12  Kuala Lumpur   Malaysia     23264            131     1            R   \n",
       "13  Kuala Lumpur   Malaysia     23663            131     1            2   \n",
       "14        Sakhir    Bahrain     21311              1     2            8   \n",
       "15        Sakhir    Bahrain     21782            131     9            5   \n",
       "16        Sakhir    Bahrain     22174            131     2            1   \n",
       "17        Sakhir    Bahrain     22596            131     1            1   \n",
       "18        Sakhir    Bahrain     22941            131     1            3   \n",
       "19        Sakhir    Bahrain     23420            131     2            2   \n",
       "\n",
       "    positionOrder  points  laps fastestLap  rank fastestLapTime   \n",
       "0               3    15.0    58         57     4       1:29.538  \\\n",
       "1               5    10.0    58         45     5       1:29.759   \n",
       "2               1    25.0    58         50     1       1:30.945   \n",
       "3               2    18.0    57         48     4       1:30.646   \n",
       "4               2    18.0    57         44     6       1:27.033   \n",
       "5               2    18.0    58         50     3       1:26.444   \n",
       "6               2    18.0    58         57     2       1:26.057   \n",
       "7               4    12.0    58         51     7       1:21.886   \n",
       "8               3    15.0    56         50     6       1:41.539   \n",
       "9               3    15.0    56         32    10       1:41.001   \n",
       "10              1    25.0    56         53     1       1:43.066   \n",
       "11              2    18.0    56         45     2       1:43.125   \n",
       "12             18     0.0    40         31     7       1:38.595   \n",
       "13              2    18.0    56         48     3       1:34.452   \n",
       "14              8     4.0    57         38     7       1:37.733   \n",
       "15              5    10.0    57         48    11       1:38.204   \n",
       "16              1    25.0    57         49     2       1:37.108   \n",
       "17              1    25.0    57         38     5       1:37.857   \n",
       "18              3    15.0    57         43     2       1:34.677   \n",
       "19              2    18.0    57         46     1       1:32.798   \n",
       "\n",
       "   fastestLapSpeed  statusId nationality  pit_stop_1_lap_x pit_stop_1_time_x   \n",
       "0          213.214         1     British              17.0          17:30:12  \\\n",
       "1          212.689         1     British              13.0          17:23:56   \n",
       "2          209.915         1     British              25.0          16:44:32   \n",
       "3          210.608         1     British              16.0          16:32:16   \n",
       "4          219.351         1     British              17.0          16:31:40   \n",
       "5          220.845         1     British              19.0          16:41:30   \n",
       "6          221.839         1     British              15.0          16:35:52   \n",
       "7          232.039         1     British              22.0          15:37:22   \n",
       "8          196.523         1     British               5.0          16:14:12   \n",
       "9          197.570         1     British               7.0          16:17:30   \n",
       "10         193.611         1     British              15.0          16:30:55   \n",
       "11         193.501         1     British               4.0          15:11:07   \n",
       "12         202.391         5     British              20.0          15:39:17   \n",
       "13         211.269         1     British              26.0          15:45:40   \n",
       "14         199.351         1     British               9.0          15:18:49   \n",
       "15         198.395         1     British              10.0          15:21:24   \n",
       "16         200.634         1     British              19.0          18:36:24   \n",
       "17         199.098         1     British              15.0          18:28:52   \n",
       "18         205.785         1     British              13.0          18:25:20   \n",
       "19         209.952         1     British              13.0          18:24:59   \n",
       "\n",
       "   pit_stop_1_duration_x  pit_stop_1_milliseconds_x  pit_stop_2_lap_x   \n",
       "0                 22.862                    22862.0              36.0  \\\n",
       "1                 22.155                    22155.0              31.0   \n",
       "2                 22.295                    22295.0               0.0   \n",
       "3                 21.940                    21940.0              18.0   \n",
       "4                 21.709                    21709.0               0.0   \n",
       "5                 21.821                    21821.0               0.0   \n",
       "6                 21.515                    21515.0               0.0   \n",
       "7                 17.877                    17877.0               0.0   \n",
       "8                 24.271                    24271.0              14.0   \n",
       "9                 24.933                    24933.0              21.0   \n",
       "10                24.604                    24604.0              33.0   \n",
       "11                26.094                    26094.0              24.0   \n",
       "12                23.689                    23689.0               0.0   \n",
       "13                23.489                    23489.0               0.0   \n",
       "14                28.341                    28341.0              23.0   \n",
       "15                22.072                    22072.0              22.0   \n",
       "16                24.687                    24687.0              41.0   \n",
       "17                25.791                    25791.0              33.0   \n",
       "18                24.512                    24512.0              28.0   \n",
       "19                30.687                    30687.0              41.0   \n",
       "\n",
       "   pit_stop_2_time_x pit_stop_2_duration_x  pit_stop_2_milliseconds_x   \n",
       "0           17:59:54                23.464                    23464.0  \\\n",
       "1           17:52:21                22.015                    22015.0   \n",
       "2                  0                     0                        0.0   \n",
       "3           16:37:09             18:10.087                  1090087.0   \n",
       "4                  0                     0                        0.0   \n",
       "5                  0                     0                        0.0   \n",
       "6                  0                     0                        0.0   \n",
       "7                  0                     0                        0.0   \n",
       "8           17:28:30                27.961                    27961.0   \n",
       "9           16:42:22                21.465                    21465.0   \n",
       "10          17:03:18                25.296                    25296.0   \n",
       "11          15:48:25                24.595                    24595.0   \n",
       "12                 0                     0                        0.0   \n",
       "13                 0                     0                        0.0   \n",
       "14          15:42:46                30.622                    30622.0   \n",
       "15          15:42:02                21.444                    21444.0   \n",
       "16          19:13:29                25.146                    25146.0   \n",
       "17          18:59:01                24.528                    24528.0   \n",
       "18          18:50:13                25.030                    25030.0   \n",
       "19          19:12:14                30.682                    30682.0   \n",
       "\n",
       "    pit_stop_3_lap_x pit_stop_3_time_x pit_stop_3_duration_x   \n",
       "0                0.0                 0                     0  \\\n",
       "1               42.0          18:09:35                21.778   \n",
       "2                0.0                 0                     0   \n",
       "3                0.0                 0                     0   \n",
       "4                0.0                 0                     0   \n",
       "5                0.0                 0                     0   \n",
       "6                0.0                 0                     0   \n",
       "7                0.0                 0                     0   \n",
       "8               41.0          18:22:31                26.338   \n",
       "9               30.0          16:58:00                21.549   \n",
       "10              51.0          17:35:18                24.484   \n",
       "11              38.0          16:13:14                24.179   \n",
       "12               0.0                 0                     0   \n",
       "13               0.0                 0                     0   \n",
       "14              36.0          16:04:54                23.696   \n",
       "15              38.0          16:09:03                21.600   \n",
       "16               0.0                 0                     0   \n",
       "17               0.0                 0                     0   \n",
       "18              41.0          19:11:34                24.524   \n",
       "19               0.0                 0                     0   \n",
       "\n",
       "    pit_stop_3_milliseconds_x  pit_stop_4_lap_x pit_stop_4_time_x   \n",
       "0                         0.0               0.0                 0  \\\n",
       "1                     21778.0               0.0                 0   \n",
       "2                         0.0               0.0                 0   \n",
       "3                         0.0               0.0                 0   \n",
       "4                         0.0               0.0                 0   \n",
       "5                         0.0               0.0                 0   \n",
       "6                         0.0               0.0                 0   \n",
       "7                         0.0               0.0                 0   \n",
       "8                     26338.0               0.0                 0   \n",
       "9                     21549.0              41.0          17:17:00   \n",
       "10                    24484.0               0.0                 0   \n",
       "11                    24179.0               0.0                 0   \n",
       "12                        0.0               0.0                 0   \n",
       "13                        0.0               0.0                 0   \n",
       "14                    23696.0               0.0                 0   \n",
       "15                    21600.0               0.0                 0   \n",
       "16                        0.0               0.0                 0   \n",
       "17                        0.0               0.0                 0   \n",
       "18                    24524.0               0.0                 0   \n",
       "19                        0.0               0.0                 0   \n",
       "\n",
       "   pit_stop_4_duration_x  pit_stop_4_milliseconds_x  pit_stop_5_lap_x   \n",
       "0                      0                        0.0               0.0  \\\n",
       "1                      0                        0.0               0.0   \n",
       "2                      0                        0.0               0.0   \n",
       "3                      0                        0.0               0.0   \n",
       "4                      0                        0.0               0.0   \n",
       "5                      0                        0.0               0.0   \n",
       "6                      0                        0.0               0.0   \n",
       "7                      0                        0.0               0.0   \n",
       "8                      0                        0.0               0.0   \n",
       "9                 21.271                    21271.0               0.0   \n",
       "10                     0                        0.0               0.0   \n",
       "11                     0                        0.0               0.0   \n",
       "12                     0                        0.0               0.0   \n",
       "13                     0                        0.0               0.0   \n",
       "14                     0                        0.0               0.0   \n",
       "15                     0                        0.0               0.0   \n",
       "16                     0                        0.0               0.0   \n",
       "17                     0                        0.0               0.0   \n",
       "18                     0                        0.0               0.0   \n",
       "19                     0                        0.0               0.0   \n",
       "\n",
       "   pit_stop_5_time_x pit_stop_5_duration_x  pit_stop_5_milliseconds_x   \n",
       "0                  0                     0                        0.0  \\\n",
       "1                  0                     0                        0.0   \n",
       "2                  0                     0                        0.0   \n",
       "3                  0                     0                        0.0   \n",
       "4                  0                     0                        0.0   \n",
       "5                  0                     0                        0.0   \n",
       "6                  0                     0                        0.0   \n",
       "7                  0                     0                        0.0   \n",
       "8                  0                     0                        0.0   \n",
       "9                  0                     0                        0.0   \n",
       "10                 0                     0                        0.0   \n",
       "11                 0                     0                        0.0   \n",
       "12                 0                     0                        0.0   \n",
       "13                 0                     0                        0.0   \n",
       "14                 0                     0                        0.0   \n",
       "15                 0                     0                        0.0   \n",
       "16                 0                     0                        0.0   \n",
       "17                 0                     0                        0.0   \n",
       "18                 0                     0                        0.0   \n",
       "19                 0                     0                        0.0   \n",
       "\n",
       "    pit_stop_6_lap_x pit_stop_6_time_x pit_stop_6_duration_x   \n",
       "0                0.0                 0                     0  \\\n",
       "1                0.0                 0                     0   \n",
       "2                0.0                 0                     0   \n",
       "3                0.0                 0                     0   \n",
       "4                0.0                 0                     0   \n",
       "5                0.0                 0                     0   \n",
       "6                0.0                 0                     0   \n",
       "7                0.0                 0                     0   \n",
       "8                0.0                 0                     0   \n",
       "9                0.0                 0                     0   \n",
       "10               0.0                 0                     0   \n",
       "11               0.0                 0                     0   \n",
       "12               0.0                 0                     0   \n",
       "13               0.0                 0                     0   \n",
       "14               0.0                 0                     0   \n",
       "15               0.0                 0                     0   \n",
       "16               0.0                 0                     0   \n",
       "17               0.0                 0                     0   \n",
       "18               0.0                 0                     0   \n",
       "19               0.0                 0                     0   \n",
       "\n",
       "    pit_stop_6_milliseconds_x  stop  lap      time duration  milliseconds   \n",
       "0                         0.0     1   17  17:30:12   22.862         22862  \\\n",
       "1                         0.0     1   13  17:23:56   22.155         22155   \n",
       "2                         0.0     1   25  16:44:32   22.295         22295   \n",
       "3                         0.0     1   16  16:32:16   21.940         21940   \n",
       "4                         0.0     1   17  16:31:40   21.709         21709   \n",
       "5                         0.0     1   19  16:41:30   21.821         21821   \n",
       "6                         0.0     1   15  16:35:52   21.515         21515   \n",
       "7                         0.0     1   22  15:37:22   17.877         17877   \n",
       "8                         0.0     1    5  16:14:12   24.271         24271   \n",
       "9                         0.0     1    7  16:17:30   24.933         24933   \n",
       "10                        0.0     1   15  16:30:55   24.604         24604   \n",
       "11                        0.0     1    4  15:11:07   26.094         26094   \n",
       "12                        0.0     1   20  15:39:17   23.689         23689   \n",
       "13                        0.0     1   26  15:45:40   23.489         23489   \n",
       "14                        0.0     1    9  15:18:49   28.341         28341   \n",
       "15                        0.0     1   10  15:21:24   22.072         22072   \n",
       "16                        0.0     1   19  18:36:24   24.687         24687   \n",
       "17                        0.0     1   15  18:28:52   25.791         25791   \n",
       "18                        0.0     1   13  18:25:20   24.512         24512   \n",
       "19                        0.0     1   13  18:24:59   30.687         30687   \n",
       "\n",
       "    pit_stop_1_lap_y pit_stop_1_time_y pit_stop_1_duration_y   \n",
       "0               17.0          17:30:12                22.862  \\\n",
       "1               13.0          17:23:56                22.155   \n",
       "2               25.0          16:44:32                22.295   \n",
       "3               16.0          16:32:16                21.940   \n",
       "4               17.0          16:31:40                21.709   \n",
       "5               19.0          16:41:30                21.821   \n",
       "6               15.0          16:35:52                21.515   \n",
       "7               22.0          15:37:22                17.877   \n",
       "8                5.0          16:14:12                24.271   \n",
       "9                7.0          16:17:30                24.933   \n",
       "10              15.0          16:30:55                24.604   \n",
       "11               4.0          15:11:07                26.094   \n",
       "12              20.0          15:39:17                23.689   \n",
       "13              26.0          15:45:40                23.489   \n",
       "14               9.0          15:18:49                28.341   \n",
       "15              10.0          15:21:24                22.072   \n",
       "16              19.0          18:36:24                24.687   \n",
       "17              15.0          18:28:52                25.791   \n",
       "18              13.0          18:25:20                24.512   \n",
       "19              13.0          18:24:59                30.687   \n",
       "\n",
       "    pit_stop_1_milliseconds_y  pit_stop_2_lap_y pit_stop_2_time_y   \n",
       "0                     22862.0              36.0          17:59:54  \\\n",
       "1                     22155.0              31.0          17:52:21   \n",
       "2                     22295.0               0.0                 0   \n",
       "3                     21940.0              18.0          16:37:09   \n",
       "4                     21709.0               0.0                 0   \n",
       "5                     21821.0               0.0                 0   \n",
       "6                     21515.0               0.0                 0   \n",
       "7                     17877.0               0.0                 0   \n",
       "8                     24271.0              14.0          17:28:30   \n",
       "9                     24933.0              21.0          16:42:22   \n",
       "10                    24604.0              33.0          17:03:18   \n",
       "11                    26094.0              24.0          15:48:25   \n",
       "12                    23689.0               0.0                 0   \n",
       "13                    23489.0               0.0                 0   \n",
       "14                    28341.0              23.0          15:42:46   \n",
       "15                    22072.0              22.0          15:42:02   \n",
       "16                    24687.0              41.0          19:13:29   \n",
       "17                    25791.0              33.0          18:59:01   \n",
       "18                    24512.0              28.0          18:50:13   \n",
       "19                    30687.0              41.0          19:12:14   \n",
       "\n",
       "   pit_stop_2_duration_y  pit_stop_2_milliseconds_y  pit_stop_3_lap_y   \n",
       "0                 23.464                    23464.0               0.0  \\\n",
       "1                 22.015                    22015.0              42.0   \n",
       "2                      0                        0.0               0.0   \n",
       "3              18:10.087                  1090087.0               0.0   \n",
       "4                      0                        0.0               0.0   \n",
       "5                      0                        0.0               0.0   \n",
       "6                      0                        0.0               0.0   \n",
       "7                      0                        0.0               0.0   \n",
       "8                 27.961                    27961.0              41.0   \n",
       "9                 21.465                    21465.0              30.0   \n",
       "10                25.296                    25296.0              51.0   \n",
       "11                24.595                    24595.0              38.0   \n",
       "12                     0                        0.0               0.0   \n",
       "13                     0                        0.0               0.0   \n",
       "14                30.622                    30622.0              36.0   \n",
       "15                21.444                    21444.0              38.0   \n",
       "16                25.146                    25146.0               0.0   \n",
       "17                24.528                    24528.0               0.0   \n",
       "18                25.030                    25030.0              41.0   \n",
       "19                30.682                    30682.0               0.0   \n",
       "\n",
       "   pit_stop_3_time_y pit_stop_3_duration_y  pit_stop_3_milliseconds_y   \n",
       "0                  0                     0                        0.0  \\\n",
       "1           18:09:35                21.778                    21778.0   \n",
       "2                  0                     0                        0.0   \n",
       "3                  0                     0                        0.0   \n",
       "4                  0                     0                        0.0   \n",
       "5                  0                     0                        0.0   \n",
       "6                  0                     0                        0.0   \n",
       "7                  0                     0                        0.0   \n",
       "8           18:22:31                26.338                    26338.0   \n",
       "9           16:58:00                21.549                    21549.0   \n",
       "10          17:35:18                24.484                    24484.0   \n",
       "11          16:13:14                24.179                    24179.0   \n",
       "12                 0                     0                        0.0   \n",
       "13                 0                     0                        0.0   \n",
       "14          16:04:54                23.696                    23696.0   \n",
       "15          16:09:03                21.600                    21600.0   \n",
       "16                 0                     0                        0.0   \n",
       "17                 0                     0                        0.0   \n",
       "18          19:11:34                24.524                    24524.0   \n",
       "19                 0                     0                        0.0   \n",
       "\n",
       "    pit_stop_4_lap_y pit_stop_4_time_y pit_stop_4_duration_y   \n",
       "0                0.0                 0                     0  \\\n",
       "1                0.0                 0                     0   \n",
       "2                0.0                 0                     0   \n",
       "3                0.0                 0                     0   \n",
       "4                0.0                 0                     0   \n",
       "5                0.0                 0                     0   \n",
       "6                0.0                 0                     0   \n",
       "7                0.0                 0                     0   \n",
       "8                0.0                 0                     0   \n",
       "9               41.0          17:17:00                21.271   \n",
       "10               0.0                 0                     0   \n",
       "11               0.0                 0                     0   \n",
       "12               0.0                 0                     0   \n",
       "13               0.0                 0                     0   \n",
       "14               0.0                 0                     0   \n",
       "15               0.0                 0                     0   \n",
       "16               0.0                 0                     0   \n",
       "17               0.0                 0                     0   \n",
       "18               0.0                 0                     0   \n",
       "19               0.0                 0                     0   \n",
       "\n",
       "    pit_stop_4_milliseconds_y  pit_stop_5_lap_y pit_stop_5_time_y   \n",
       "0                         0.0               0.0                 0  \\\n",
       "1                         0.0               0.0                 0   \n",
       "2                         0.0               0.0                 0   \n",
       "3                         0.0               0.0                 0   \n",
       "4                         0.0               0.0                 0   \n",
       "5                         0.0               0.0                 0   \n",
       "6                         0.0               0.0                 0   \n",
       "7                         0.0               0.0                 0   \n",
       "8                         0.0               0.0                 0   \n",
       "9                     21271.0               0.0                 0   \n",
       "10                        0.0               0.0                 0   \n",
       "11                        0.0               0.0                 0   \n",
       "12                        0.0               0.0                 0   \n",
       "13                        0.0               0.0                 0   \n",
       "14                        0.0               0.0                 0   \n",
       "15                        0.0               0.0                 0   \n",
       "16                        0.0               0.0                 0   \n",
       "17                        0.0               0.0                 0   \n",
       "18                        0.0               0.0                 0   \n",
       "19                        0.0               0.0                 0   \n",
       "\n",
       "   pit_stop_5_duration_y  pit_stop_5_milliseconds_y  pit_stop_6_lap_y   \n",
       "0                      0                        0.0               0.0  \\\n",
       "1                      0                        0.0               0.0   \n",
       "2                      0                        0.0               0.0   \n",
       "3                      0                        0.0               0.0   \n",
       "4                      0                        0.0               0.0   \n",
       "5                      0                        0.0               0.0   \n",
       "6                      0                        0.0               0.0   \n",
       "7                      0                        0.0               0.0   \n",
       "8                      0                        0.0               0.0   \n",
       "9                      0                        0.0               0.0   \n",
       "10                     0                        0.0               0.0   \n",
       "11                     0                        0.0               0.0   \n",
       "12                     0                        0.0               0.0   \n",
       "13                     0                        0.0               0.0   \n",
       "14                     0                        0.0               0.0   \n",
       "15                     0                        0.0               0.0   \n",
       "16                     0                        0.0               0.0   \n",
       "17                     0                        0.0               0.0   \n",
       "18                     0                        0.0               0.0   \n",
       "19                     0                        0.0               0.0   \n",
       "\n",
       "   pit_stop_6_time_y pit_stop_6_duration_y  pit_stop_6_milliseconds_y  \n",
       "0                  0                     0                        0.0  \n",
       "1                  0                     0                        0.0  \n",
       "2                  0                     0                        0.0  \n",
       "3                  0                     0                        0.0  \n",
       "4                  0                     0                        0.0  \n",
       "5                  0                     0                        0.0  \n",
       "6                  0                     0                        0.0  \n",
       "7                  0                     0                        0.0  \n",
       "8                  0                     0                        0.0  \n",
       "9                  0                     0                        0.0  \n",
       "10                 0                     0                        0.0  \n",
       "11                 0                     0                        0.0  \n",
       "12                 0                     0                        0.0  \n",
       "13                 0                     0                        0.0  \n",
       "14                 0                     0                        0.0  \n",
       "15                 0                     0                        0.0  \n",
       "16                 0                     0                        0.0  \n",
       "17                 0                     0                        0.0  \n",
       "18                 0                     0                        0.0  \n",
       "19                 0                     0                        0.0  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ml_dataframe_df.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      driverId  raceId  grid  positionOrder\n",
      "0          1.0   860.0     1              3\n",
      "1          1.0   880.0     3              5\n",
      "2          1.0   926.0     1              1\n",
      "3          1.0   948.0     1              2\n",
      "4          1.0   969.0     1              2\n",
      "5          1.0   989.0     1              2\n",
      "6          1.0  1010.0     1              2\n",
      "7          1.0  1076.0     5              4\n",
      "8          1.0   861.0     1              3\n",
      "9          1.0   881.0     4              3\n",
      "10         1.0   901.0     1              1\n",
      "11         1.0   927.0     1              2\n",
      "12         1.0   963.0     1             18\n",
      "13         1.0   983.0     1              2\n",
      "14         1.0   863.0     2              8\n",
      "15         1.0   883.0     9              5\n",
      "16         1.0   902.0     2              1\n",
      "17         1.0   929.0     1              1\n",
      "18         1.0   949.0     1              3\n",
      "19         1.0   971.0     2              2\n",
      "20         1.0   990.0     9              3\n",
      "21         1.0  1011.0     3              1\n",
      "22         1.0  1045.0     1              1\n",
      "23         1.0  1052.0     2              1\n",
      "24         1.0  1074.0     5              3\n",
      "25         1.0   864.0    24              8\n",
      "26         1.0   884.0     2             12\n",
      "27         1.0   904.0     1              1\n",
      "28         1.0   973.0     1              1\n",
      "29         1.0   993.0     1              1\n",
      "30         1.0  1014.0     2              1\n",
      "31         1.0  1036.0     1              1\n",
      "32         1.0  1055.0     1              1\n",
      "33         1.0  1079.0     6              5\n",
      "34         1.0   865.0     3              5\n",
      "35         1.0   885.0     2              4\n",
      "36         1.0   905.0     2              2\n",
      "37         1.0   931.0     1              3\n",
      "38         1.0   953.0     3              1\n",
      "39         1.0   974.0    13              7\n",
      "40         1.0   994.0     3              3\n",
      "41         1.0  1015.0     1              1\n",
      "42         1.0  1056.0     7              7\n",
      "43         1.0  1080.0     8              8\n",
      "44         1.0   873.0     1             24\n",
      "45         1.0   893.0     5              5\n",
      "46         1.0   913.0     1              1\n",
      "47         1.0   939.0     5             18\n",
      "48         1.0   962.0     3              3\n",
      "49         1.0   982.0     5              1\n",
      "50         1.0  1003.0     1              1\n",
      "51         1.0  1024.0     2              4\n",
      "52         1.0  1091.0     3              9\n",
      "53         1.0   874.0     9              5\n",
      "54         1.0   895.0     3             20\n",
      "55         1.0   914.0     2              1\n",
      "56         1.0   940.0     2              1\n",
      "57         1.0   964.0     2              3\n",
      "58         1.0   984.0     1              1\n",
      "59         1.0  1005.0     1              1\n",
      "60         1.0  1026.0     4              3\n",
      "61         1.0  1092.0     6              5\n",
      "62         1.0   875.0     3             10\n",
      "63         1.0   894.0     2              5\n",
      "64         1.0   876.0     3              4\n",
      "65         1.0   896.0     3              6\n",
      "66         1.0   878.0     2              1\n",
      "67         1.0   898.0     5              4\n",
      "68         1.0   916.0     2              1\n",
      "69         1.0   942.0     2              1\n",
      "70         1.0   965.0     1              1\n",
      "71         1.0   985.0     1              1\n",
      "72         1.0  1006.0     1              3\n",
      "73         1.0  1028.0     5              2\n",
      "74         1.0  1069.0     2              2\n",
      "75         1.0  1093.0     3              2\n",
      "76         1.0   879.0     1             20\n",
      "77         1.0   899.0     5              9\n",
      "78         1.0   917.0     2              2\n",
      "79         1.0   944.0     2              2\n",
      "80         1.0   967.0     1              1\n",
      "81         1.0   987.0    20              4\n",
      "82         1.0  1008.0     1              1\n",
      "83         1.0  1029.0     3              7\n",
      "84         1.0  1071.0    10              1\n",
      "85         1.0  1095.0     2              2\n",
      "86         1.0   907.0     9              2\n",
      "87         1.0   933.0     1              2\n",
      "88         1.0   956.0     1              1\n",
      "89         1.0   977.0     8              4\n",
      "90         1.0   997.0     2             16\n",
      "91         1.0  1018.0     4              5\n",
      "92         1.0  1031.0     5              4\n",
      "93         1.0  1060.0     4              4\n",
      "94         1.0  1084.0     8              3\n",
      "95         1.0   915.0     1              1\n",
      "96         1.0   941.0     2              1\n",
      "97         1.0   941.0     2              1\n",
      "98         1.0   951.0    10              2\n",
      "99         1.0   972.0     4              4\n",
      "100        1.0  1004.0     2              1\n",
      "101        1.0  1025.0     2              1\n",
      "102        1.0  1066.0     4              1\n",
      "103        1.0   934.0     1              1\n",
      "104        1.0   976.0     1              5\n",
      "105        1.0   992.0     2              1\n",
      "106        1.0  1013.0     2              2\n",
      "107        1.0  1057.0     2             15\n",
      "108        1.0  1081.0     7              4\n",
      "109        1.0   996.0     1              1\n",
      "110        1.0  1017.0     1              1\n",
      "111        1.0  1059.0     2              2\n",
      "112        1.0  1038.0     1              7\n",
      "113        1.0  1041.0     2              1\n",
      "114        1.0  1051.0     1              1\n",
      "115        1.0  1064.0     2              2\n",
      "116        1.0  1088.0     4              4\n",
      "117        1.0  1070.0     2              2\n",
      "118        1.0  1094.0     3              2\n",
      "119        1.0  1072.0     1              1\n",
      "120        1.0  1075.0    15             10\n",
      "121        3.0   860.0     7             12\n",
      "122        3.0   880.0     6             20\n",
      "123        3.0   900.0     3              1\n",
      "124        3.0   926.0     2              2\n",
      "125        3.0   948.0     2              1\n",
      "126        3.0   861.0     7             13\n",
      "127        3.0   881.0     6              4\n",
      "128        3.0   901.0     3              2\n",
      "129        3.0   927.0     3              3\n",
      "130        3.0   963.0     2              3\n",
      "131        3.0   863.0     5              5\n",
      "132        3.0   883.0     1              9\n",
      "133        3.0   902.0     1              2\n",
      "134        3.0   929.0     3              3\n",
      "135        3.0   949.0     2              1\n",
      "136        3.0   864.0     6              7\n",
      "137        3.0   884.0     1              6\n",
      "138        3.0   904.0     2              2\n",
      "139        3.0   865.0     2              2\n",
      "140        3.0   885.0     1              1\n",
      "141        3.0   905.0     1              1\n",
      "142        3.0   931.0     2              1\n",
      "143        3.0   953.0     2              7\n",
      "144        3.0   873.0    10              5\n",
      "145        3.0   893.0     2              4\n",
      "146        3.0   939.0     6              4\n",
      "147        3.0   962.0     1              1\n",
      "148        3.0   895.0     6              8\n",
      "149        3.0   914.0     1              2\n",
      "150        3.0   940.0     1              2\n",
      "151        3.0   964.0     1              1\n",
      "152        3.0   894.0     4              7\n",
      "153        3.0   876.0    10             11\n",
      "154        3.0   896.0     2              2\n",
      "155        3.0   878.0    17             13\n",
      "156        3.0   898.0    12              9\n",
      "157        3.0   916.0     1              2\n",
      "158        3.0   942.0     1              2\n",
      "159        3.0   965.0     2              2\n",
      "160        3.0   879.0     9             15\n",
      "161        3.0   899.0     2              5\n",
      "162        3.0   917.0     1              1\n",
      "163        3.0   944.0     1              1\n",
      "164        3.0   967.0     2              2\n",
      "165        3.0   907.0     3              1\n",
      "166        3.0   933.0     2              1\n",
      "167        3.0   956.0     6              4\n",
      "168        3.0   915.0     2              2\n",
      "169        3.0   951.0     1              1\n",
      "170        3.0   934.0     2              2\n",
      "171        4.0   860.0    12              5\n",
      "172        4.0   880.0     5              2\n",
      "173        4.0   900.0     5              4\n",
      "174        4.0   948.0    11             21\n",
      "175        4.0   969.0    12             14\n",
      "176        4.0   989.0    10              5\n",
      "177        4.0  1076.0    10             17\n",
      "178        4.0   861.0     8              1\n",
      "179        4.0   901.0     4              4\n",
      "180        4.0   927.0    18             18\n",
      "181        4.0   963.0    22              7\n",
      "182        4.0   983.0    10             11\n",
      "183        4.0   863.0     9              7\n",
      "184        4.0   883.0     3              8\n",
      "185        4.0   902.0     9              9\n",
      "186        4.0   929.0    14             11\n",
      "187        4.0   971.0    15             14\n",
      "188        4.0   990.0    13              7\n",
      "189        4.0  1052.0     9             19\n",
      "190        4.0  1074.0     8              9\n",
      "191        4.0   864.0     2              2\n",
      "192        4.0   884.0     5              1\n",
      "193        4.0   904.0     7              6\n",
      "194        4.0   973.0     7             12\n",
      "195        4.0   993.0     8              8\n",
      "196        4.0  1055.0    10             17\n",
      "197        4.0  1079.0    20              9\n",
      "198        4.0   865.0     5              3\n",
      "199        4.0   885.0     6              7\n",
      "200        4.0   905.0     5              4\n",
      "201        4.0   931.0    13             19\n",
      "202        4.0   953.0     9              5\n",
      "203        4.0   994.0     7             20\n",
      "204        4.0  1056.0    17             13\n",
      "205        4.0  1080.0     7              7\n",
      "206        4.0   873.0     5              3\n",
      "207        4.0   893.0     7              2\n",
      "208        4.0   913.0     5              4\n",
      "209        4.0   939.0    12             17\n",
      "210        4.0   962.0     9              7\n",
      "211        4.0   982.0     8             17\n",
      "212        4.0  1003.0    11              7\n",
      "213        4.0   895.0     8              4\n",
      "214        4.0   914.0     5             22\n",
      "215        4.0   940.0    12             11\n",
      "216        4.0   964.0    15             16\n",
      "217        4.0   984.0    20             11\n",
      "218        4.0  1005.0    18             14\n",
      "219        4.0  1092.0     7              7\n",
      "220        4.0   875.0     4              3\n",
      "221        4.0   894.0     5              6\n",
      "222        4.0   876.0     5              2\n",
      "223        4.0   896.0     8             11\n",
      "224        4.0   878.0     7              3\n",
      "225        4.0   898.0     6              5\n",
      "226        4.0   916.0     6              6\n",
      "227        4.0   942.0     9             11\n",
      "228        4.0   965.0    12              5\n",
      "229        4.0   985.0     8             17\n",
      "230        4.0  1069.0    19             18\n",
      "231        4.0  1093.0    14              7\n",
      "232        4.0   879.0     7              2\n",
      "233        4.0   899.0     3              3\n",
      "234        4.0   917.0     8              6\n",
      "235        4.0   944.0    20             15\n",
      "236        4.0   967.0    10             10\n",
      "237        4.0   987.0     6              8\n",
      "238        4.0  1008.0    17             17\n",
      "239        4.0  1071.0    12              9\n",
      "240        4.0  1095.0    17              5\n",
      "241        4.0   907.0     4              5\n",
      "242        4.0   956.0    14             18\n",
      "243        4.0   997.0    13              8\n",
      "244        4.0  1060.0    14             10\n",
      "245        4.0  1084.0    19             10\n",
      "246        4.0   915.0     7              6\n",
      "247        4.0   941.0    19             11\n",
      "248        4.0   941.0    19             11\n",
      "249        4.0   951.0    14              6\n",
      "250        4.0  1004.0    16             14\n",
      "251        4.0  1066.0     6              6\n",
      "252        4.0   934.0    17             10\n",
      "253        4.0   976.0    19              9\n",
      "254        4.0   992.0    12              7\n",
      "255        4.0  1057.0     8              6\n",
      "256        4.0  1081.0    10              7\n",
      "257        4.0   996.0    16             16\n",
      "258        4.0  1059.0     9              8\n",
      "259        4.0  1051.0     3              3\n",
      "260        4.0  1064.0     9              6\n",
      "261        4.0  1088.0    13              6\n",
      "262        4.0  1070.0    12              9\n",
      "263        4.0  1094.0     9             19\n",
      "264        4.0  1072.0    13             13\n",
      "265        4.0  1075.0     7             16\n",
      "266        5.0   860.0    18             18\n",
      "267        5.0   861.0    24             18\n",
      "268        5.0   863.0    16             17\n",
      "269        5.0   864.0    19             16\n",
      "270        5.0   865.0    17             13\n",
      "271        5.0   873.0    19             15\n",
      "272        5.0   874.0    17             15\n",
      "273        5.0   875.0    19             17\n",
      "274        5.0   876.0    20             18\n",
      "275        5.0   878.0    22             18\n",
      "276        5.0   898.0     8             15\n",
      "277        5.0   879.0    20             14\n",
      "278        5.0   899.0    11             14\n",
      "279        8.0   860.0    17              7\n",
      "280        8.0   880.0     7              1\n",
      "281        8.0   900.0    11              7\n",
      "282        8.0   926.0     5             12\n",
      "283        8.0   948.0     4             18\n",
      "284        8.0   969.0     4              4\n",
      "285        8.0   989.0     2              3\n",
      "286        8.0  1010.0     9              8\n",
      "287        8.0   861.0    10              5\n",
      "288        8.0   881.0    10              7\n",
      "289        8.0   901.0     6             12\n",
      "290        8.0   927.0    11              4\n",
      "291        8.0   963.0     6              4\n",
      "292        8.0   863.0    11              2\n",
      "293        8.0   883.0     8              2\n",
      "294        8.0   902.0     5             10\n",
      "295        8.0   929.0     4              2\n",
      "296        8.0   949.0     4              2\n",
      "297        8.0   971.0     5              4\n",
      "298        8.0   990.0     2             18\n",
      "299        8.0  1011.0     8              7\n",
      "300        8.0  1045.0    17             15\n",
      "301        8.0  1052.0    14             11\n",
      "302        8.0   864.0     4              3\n",
      "303        8.0   884.0     4              2\n",
      "304        8.0   904.0     6              7\n",
      "305        8.0  1014.0    14             14\n",
      "306        8.0  1036.0    14             14\n",
      "307        8.0  1055.0    17             12\n",
      "308        8.0   865.0     8              9\n",
      "309        8.0   885.0     5             10\n",
      "310        8.0   905.0     6             12\n",
      "311        8.0   931.0     6              6\n",
      "312        8.0   974.0     1              2\n",
      "313        8.0   994.0     4              4\n",
      "314        8.0  1015.0    14             17\n",
      "315        8.0  1056.0    14             11\n",
      "316        8.0   873.0    12              6\n",
      "317        8.0   893.0    13              3\n",
      "318        8.0   913.0     7              8\n",
      "319        8.0   939.0     3              3\n",
      "320        8.0   962.0     5              4\n",
      "321        8.0  1003.0     5              5\n",
      "322        8.0  1024.0    12             18\n",
      "323        8.0   874.0     7              6\n",
      "324        8.0   895.0     9              5\n",
      "325        8.0   914.0    10             12\n",
      "326        8.0   940.0     6              4\n",
      "327        8.0   964.0     8              5\n",
      "328        8.0   984.0    10              5\n",
      "329        8.0  1005.0     4              5\n",
      "330        8.0  1026.0    13             12\n",
      "331        8.0   875.0     5              5\n",
      "332        8.0   894.0     9              2\n",
      "333        8.0   876.0     7              7\n",
      "334        8.0   896.0     6              7\n",
      "335        8.0   878.0     4              6\n",
      "336        8.0   916.0     8             13\n",
      "337        8.0   942.0    18             16\n",
      "338        8.0   965.0     5             19\n",
      "339        8.0   985.0     5              3\n",
      "340        8.0  1006.0     2              1\n",
      "341        8.0  1028.0    17             11\n",
      "342        8.0  1069.0    15             13\n",
      "343        8.0   879.0     8             10\n",
      "344        8.0   917.0    10              7\n",
      "345        8.0   944.0     4              4\n",
      "346        8.0   987.0     3              3\n",
      "347        8.0  1008.0     4              3\n",
      "348        8.0  1029.0     8              4\n",
      "349        8.0  1071.0     0             12\n",
      "350        8.0   907.0     8             10\n",
      "351        8.0   956.0     4              3\n",
      "352        8.0   977.0     3              5\n",
      "353        8.0   997.0     3              2\n",
      "354        8.0  1018.0     6              9\n",
      "355        8.0  1031.0    19             14\n",
      "356        8.0  1060.0    16             15\n",
      "357        8.0   915.0     8              9\n",
      "358        8.0   941.0     5              8\n",
      "359        8.0   941.0     5              8\n",
      "360        8.0   951.0     3              3\n",
      "361        8.0   972.0     2              3\n",
      "362        8.0  1004.0     4              4\n",
      "363        8.0  1025.0    15             13\n",
      "364        8.0  1066.0    13              8\n",
      "365        8.0   934.0     5              8\n",
      "366        8.0   976.0     3             14\n",
      "367        8.0   992.0     6              2\n",
      "368        8.0  1013.0     0             10\n",
      "369        8.0  1057.0    14             10\n",
      "370        8.0   996.0     6              3\n",
      "371        8.0  1017.0    12              7\n",
      "372        8.0  1059.0    17             17\n",
      "373        8.0  1038.0    14             13\n",
      "374        8.0  1041.0    19             12\n",
      "375        8.0  1051.0    16             14\n",
      "376        8.0  1070.0    10              8\n",
      "377        8.0  1072.0    12             15\n",
      "378       10.0   860.0    20             14\n",
      "379       10.0   861.0    20             17\n",
      "380       10.0   863.0    23             19\n",
      "381       10.0   864.0    21             18\n",
      "382       10.0   865.0    19             14\n",
      "383       10.0   873.0    20             12\n",
      "384       10.0   874.0    18             16\n",
      "385       10.0   875.0    20             18\n",
      "386       10.0   876.0    21             20\n",
      "387       10.0   878.0    19             19\n",
      "388       10.0   879.0    21             16\n",
      "389       13.0   860.0    16             17\n",
      "390       13.0   880.0     4              4\n",
      "391       13.0   926.0     3              4\n",
      "392       13.0   948.0     6              5\n",
      "393       13.0   969.0     7              6\n",
      "394       13.0   861.0    12             15\n",
      "395       13.0   881.0     2              5\n",
      "396       13.0   901.0    13              7\n",
      "397       13.0   927.0     7              6\n",
      "398       13.0   963.0    10             13\n",
      "399       13.0   983.0    11              9\n",
      "400       13.0   863.0    14              9\n",
      "401       13.0   883.0     4             15\n",
      "402       13.0   902.0     7              7\n",
      "403       13.0   929.0     6             10\n",
      "404       13.0   949.0     7              8\n",
      "405       13.0   971.0     8              6\n",
      "406       13.0   864.0    16             15\n",
      "407       13.0   884.0     9              3\n",
      "408       13.0   904.0     9             13\n",
      "409       13.0   973.0     9             13\n",
      "410       13.0   865.0     7              6\n",
      "411       13.0   885.0    21             21\n",
      "412       13.0   905.0    16              7\n",
      "413       13.0   931.0    12             15\n",
      "414       13.0   953.0    14             10\n",
      "415       13.0   974.0    14              9\n",
      "416       13.0   873.0    13              8\n",
      "417       13.0   893.0     6              6\n",
      "418       13.0   913.0     6              5\n",
      "419       13.0   939.0     9             19\n",
      "420       13.0   962.0    11             12\n",
      "421       13.0   982.0    17             11\n",
      "422       13.0   874.0    10              2\n",
      "423       13.0   895.0     5             10\n",
      "424       13.0   914.0     4              7\n",
      "425       13.0   940.0     5             17\n",
      "426       13.0   964.0    12              9\n",
      "427       13.0   984.0     8             10\n",
      "428       13.0   875.0     6              4\n",
      "429       13.0   894.0     6              9\n",
      "430       13.0   876.0     6              6\n",
      "431       13.0   896.0     5              4\n",
      "432       13.0   878.0    11              4\n",
      "433       13.0   898.0    13             13\n",
      "434       13.0   916.0     4              4\n",
      "435       13.0   942.0     7             17\n",
      "436       13.0   965.0     9              7\n",
      "437       13.0   985.0    10              9\n",
      "438       13.0   879.0     5              3\n",
      "439       13.0   899.0     9              7\n",
      "440       13.0   917.0     3              3\n",
      "441       13.0   944.0     8             20\n",
      "442       13.0   967.0    13             18\n",
      "443       13.0   987.0     9              7\n",
      "444       13.0   907.0     1              4\n",
      "445       13.0   933.0     4              3\n",
      "446       13.0   956.0     0             20\n",
      "447       13.0   977.0    17              9\n",
      "448       13.0   915.0    18             11\n",
      "449       13.0   941.0    15              4\n",
      "450       13.0   941.0    15              4\n",
      "451       13.0   951.0     4              5\n",
      "452       13.0   972.0     6              9\n",
      "453       13.0   934.0     3              4\n",
      "454       13.0   976.0     9             16\n",
      "455       17.0   860.0     5              4\n",
      "456       17.0   880.0     2              6\n",
      "457       17.0   861.0     4              4\n",
      "458       17.0   881.0     5              2\n",
      "459       17.0   863.0     3              4\n",
      "460       17.0   883.0     7              7\n",
      "461       17.0   864.0    11             11\n",
      "462       17.0   884.0     7              5\n",
      "463       17.0   865.0     1              1\n",
      "464       17.0   885.0     4              3\n",
      "465       17.0   873.0     7             11\n",
      "466       17.0   893.0     4             15\n",
      "467       17.0   874.0     2              9\n",
      "468       17.0   895.0     1              2\n",
      "469       17.0   875.0     1              2\n",
      "470       17.0   894.0    13             21\n",
      "471       17.0   876.0     2              3\n",
      "472       17.0   896.0     4             20\n",
      "473       17.0   898.0     2              3\n",
      "474       17.0   879.0     3              4\n",
      "475       17.0   899.0     4              2\n",
      "476       18.0   860.0     2              1\n",
      "477       18.0   880.0    10              9\n",
      "478       18.0   900.0    10              3\n",
      "479       18.0   926.0    16             11\n",
      "480       18.0   948.0    12             14\n",
      "481       18.0   861.0     2             14\n",
      "482       18.0   881.0     7             17\n",
      "483       18.0   901.0    10              6\n",
      "484       18.0   927.0    17             17\n",
      "485       18.0   963.0     9              9\n",
      "486       18.0   863.0     4             18\n",
      "487       18.0   883.0    10             10\n",
      "488       18.0   902.0     6             17\n",
      "489       18.0   864.0    10              9\n",
      "490       18.0   884.0    14              8\n",
      "491       18.0   904.0     8             11\n",
      "492       18.0   865.0    12             16\n",
      "493       18.0   885.0     9              6\n",
      "494       18.0   905.0    12              6\n",
      "495       18.0   931.0    10              8\n",
      "496       18.0   953.0    13              9\n",
      "497       18.0   974.0    20             18\n",
      "498       18.0   873.0     4              2\n",
      "499       18.0   893.0     8              7\n",
      "500       18.0   913.0    11             18\n",
      "501       18.0   939.0    15             16\n",
      "502       18.0   962.0    12             19\n",
      "503       18.0   874.0     8              4\n",
      "504       18.0   895.0    10              9\n",
      "505       18.0   914.0     8              5\n",
      "506       18.0   940.0    14             16\n",
      "507       18.0   964.0    22             18\n",
      "508       18.0   894.0    11              8\n",
      "509       18.0   876.0     4              5\n",
      "510       18.0   896.0    10             14\n",
      "511       18.0   878.0    12              5\n",
      "512       18.0   898.0    15             10\n",
      "513       18.0   916.0    12             12\n",
      "514       18.0   942.0    11              6\n",
      "515       18.0   965.0    19              9\n",
      "516       18.0   879.0     2              1\n",
      "517       18.0   899.0    14              4\n",
      "518       18.0   917.0     5              4\n",
      "519       18.0   944.0    16             14\n",
      "520       18.0   967.0    17             16\n",
      "521       18.0   907.0    11             11\n",
      "522       18.0   933.0    20             17\n",
      "523       18.0   956.0     3              6\n",
      "524       18.0   915.0     4              4\n",
      "525       18.0   941.0    13              9\n",
      "526       18.0   941.0    13              9\n",
      "527       18.0   951.0    12             10\n",
      "528       20.0   860.0     6              2\n",
      "529       20.0   880.0     1              3\n",
      "530       20.0   926.0     4              3\n",
      "531       20.0   948.0     3              3\n",
      "532       20.0   969.0     2              1\n",
      "533       20.0   989.0     3              1\n",
      "534       20.0  1010.0     3              4\n",
      "535       20.0   861.0     5             11\n",
      "536       20.0   881.0     1              1\n",
      "537       20.0   901.0     2              3\n",
      "538       20.0   927.0     2              1\n",
      "539       20.0   983.0    20              4\n",
      "540       20.0   863.0     1              1\n",
      "541       20.0   883.0     2              1\n",
      "542       20.0   902.0    10              6\n",
      "543       20.0   929.0     2              5\n",
      "544       20.0   971.0     3              1\n",
      "545       20.0   990.0     1              1\n",
      "546       20.0  1011.0     2              5\n",
      "547       20.0  1045.0    11             13\n",
      "548       20.0  1052.0    20             15\n",
      "549       20.0   864.0     7              6\n",
      "550       20.0   884.0     3              4\n",
      "551       20.0   904.0    15              4\n",
      "552       20.0   973.0     2              2\n",
      "553       20.0   993.0     3              4\n",
      "554       20.0  1014.0     3              4\n",
      "555       20.0  1036.0    11              7\n",
      "556       20.0  1055.0    13             13\n",
      "557       20.0  1079.0    16             11\n",
      "558       20.0   865.0     9              4\n",
      "559       20.0   885.0     3              2\n",
      "560       20.0   905.0     4             20\n",
      "561       20.0   931.0     3              2\n",
      "562       20.0   953.0     4              4\n",
      "563       20.0   974.0     2              1\n",
      "564       20.0   994.0     2              2\n",
      "565       20.0  1015.0     4              2\n",
      "566       20.0  1056.0     8              5\n",
      "567       20.0  1080.0     9             10\n",
      "568       20.0   873.0     3              1\n",
      "569       20.0   893.0     1              1\n",
      "570       20.0   913.0     4              2\n",
      "571       20.0   939.0     1              1\n",
      "572       20.0   962.0    22              5\n",
      "573       20.0  1003.0     3              3\n",
      "574       20.0  1024.0     3              1\n",
      "575       20.0  1091.0    13              8\n",
      "576       20.0   874.0     1              1\n",
      "577       20.0   895.0     2              1\n",
      "578       20.0   914.0     9              3\n",
      "579       20.0   940.0     4              3\n",
      "580       20.0   964.0     6              4\n",
      "581       20.0  1005.0     8              6\n",
      "582       20.0  1026.0     1              2\n",
      "583       20.0  1092.0     9              6\n",
      "584       20.0   875.0     2              1\n",
      "585       20.0   894.0     1              1\n",
      "586       20.0   876.0     1              1\n",
      "587       20.0   896.0     1              1\n",
      "588       20.0   878.0     1              2\n",
      "589       20.0   898.0     1              1\n",
      "590       20.0   916.0    18              7\n",
      "591       20.0   942.0    13              3\n",
      "592       20.0   965.0     6              4\n",
      "593       20.0   985.0     2              2\n",
      "594       20.0  1006.0     5              4\n",
      "595       20.0  1069.0    18             10\n",
      "596       20.0  1093.0    10              8\n",
      "597       20.0   879.0     4              6\n",
      "598       20.0   899.0     1              1\n",
      "599       20.0   917.0     6              5\n",
      "600       20.0   944.0     3              3\n",
      "601       20.0   967.0     5              5\n",
      "602       20.0   987.0     2              1\n",
      "603       20.0  1008.0     2              6\n",
      "604       20.0  1029.0     2             17\n",
      "605       20.0  1071.0     9             11\n",
      "606       20.0  1095.0     9             11\n",
      "607       20.0   907.0    12             21\n",
      "608       20.0   933.0     3              4\n",
      "609       20.0   977.0     2              2\n",
      "610       20.0   997.0     6              3\n",
      "611       20.0  1018.0     9              4\n",
      "612       20.0  1031.0    11             10\n",
      "613       20.0  1060.0    11             17\n",
      "614       20.0  1084.0    18             17\n",
      "615       20.0   915.0    10              8\n",
      "616       20.0   941.0     4              2\n",
      "617       20.0   941.0     4              2\n",
      "618       20.0   972.0     1              2\n",
      "619       20.0  1004.0     3              3\n",
      "620       20.0  1025.0     3             18\n",
      "621       20.0  1066.0    10             12\n",
      "622       20.0   934.0     6              3\n",
      "623       20.0   976.0     4              4\n",
      "624       20.0   992.0     1              4\n",
      "625       20.0  1013.0     3              3\n",
      "626       20.0  1057.0    11              2\n",
      "627       20.0  1081.0     9              6\n",
      "628       20.0   996.0     3              5\n",
      "629       20.0  1017.0     7              5\n",
      "630       20.0  1059.0    12              9\n",
      "631       20.0  1041.0    11             11\n",
      "632       20.0  1051.0    10             10\n",
      "633       20.0  1064.0    15             13\n",
      "634       20.0  1088.0    19             14\n",
      "635       20.0  1070.0     9              7\n",
      "636       20.0  1094.0    16             14\n",
      "637       20.0  1072.0    17             16\n",
      "638       30.0   861.0     3             10\n",
      "639       30.0   863.0    22             10\n",
      "640       30.0   864.0     8             24\n",
      "641       30.0   865.0     6             19\n",
      "642       30.0   873.0     9             21\n",
      "643       30.0   874.0    23             11\n",
      "644       30.0   875.0    10             13\n",
      "645       30.0   876.0    14             22\n",
      "646       30.0   878.0     5             16\n",
      "647       30.0   879.0    13              7\n",
      "648      154.0   880.0     8             10\n",
      "649      154.0   900.0    22             15\n",
      "650      154.0   948.0    19              6\n",
      "651      154.0   989.0     6             16\n",
      "652      154.0  1010.0     6             18\n",
      "653      154.0   881.0    11              6\n",
      "654      154.0   901.0    15             11\n",
      "655      154.0   927.0    10             11\n",
      "656      154.0   983.0    16             13\n",
      "657      154.0   863.0     7              3\n",
      "658      154.0   883.0    11              3\n",
      "659      154.0   902.0    16             12\n",
      "660      154.0   929.0    10              7\n",
      "661      154.0   949.0     9              5\n",
      "662      154.0   971.0     9              8\n",
      "663      154.0   990.0    16             13\n",
      "664      154.0  1011.0    11             20\n",
      "665      154.0   864.0     3              4\n",
      "666      154.0   904.0     5              8\n",
      "667      154.0   973.0    14             10\n",
      "668      154.0  1014.0     7             10\n",
      "669      154.0  1036.0    17             19\n",
      "670      154.0   885.0    13             17\n",
      "671      154.0   905.0    14              8\n",
      "672      154.0   931.0    15             12\n",
      "673      154.0   953.0    15             13\n",
      "674      154.0   974.0     8              8\n",
      "675      154.0   994.0    18             15\n",
      "676      154.0  1015.0    13             10\n",
      "677      154.0   873.0     8              7\n",
      "678      154.0   893.0     3             21\n",
      "679      154.0   913.0    16             13\n",
      "680      154.0   939.0    10             13\n",
      "681      154.0   982.0    15              9\n",
      "682      154.0  1003.0     8             15\n",
      "683      154.0  1024.0    17             11\n",
      "684      154.0   874.0     4             19\n",
      "685      154.0   895.0     4              3\n",
      "686      154.0   914.0    16             15\n",
      "687      154.0   940.0     8              7\n",
      "688      154.0   964.0     7             11\n",
      "689      154.0   984.0    13              9\n",
      "690      154.0  1005.0     5              8\n",
      "691      154.0  1026.0    10             13\n",
      "692      154.0   875.0     7              7\n",
      "693      154.0   894.0     3              3\n",
      "694      154.0   876.0    11              9\n",
      "695      154.0   896.0    17              3\n",
      "696      154.0   878.0     8              7\n",
      "697      154.0   898.0     3              2\n",
      "698      154.0   916.0    16             11\n",
      "699      154.0   942.0    10             18\n",
      "700      154.0   965.0    17             10\n",
      "701      154.0   985.0    12             14\n",
      "702      154.0  1006.0     8             17\n",
      "703      154.0  1028.0    15             15\n",
      "704      154.0   917.0    14             17\n",
      "705      154.0   944.0    14              8\n",
      "706      154.0   987.0    11             15\n",
      "707      154.0  1008.0     8              8\n",
      "708      154.0  1029.0     7             13\n",
      "709      154.0   907.0    22             14\n",
      "710      154.0   933.0     9             15\n",
      "711      154.0   956.0    13              7\n",
      "712      154.0   977.0     6              6\n",
      "713      154.0   997.0     5              4\n",
      "714      154.0  1018.0    11             16\n",
      "715      154.0  1031.0    15             16\n",
      "716      154.0   915.0    15             17\n",
      "717      154.0   941.0     8             17\n",
      "718      154.0   941.0     8             17\n",
      "719      154.0   951.0    15              8\n",
      "720      154.0  1004.0     9             11\n",
      "721      154.0   976.0    16             13\n",
      "722      154.0   992.0    20             15\n",
      "723      154.0  1013.0    14             18\n",
      "724      154.0   996.0    10             11\n",
      "725      154.0  1017.0    16             20\n",
      "726      154.0  1038.0    16             12\n",
      "727      154.0  1041.0    16              9\n",
      "728      155.0   860.0    13              6\n",
      "729      155.0   861.0    17             23\n",
      "730      155.0   901.0    20             13\n",
      "731      155.0   863.0    12             13\n",
      "732      155.0   902.0    18             15\n",
      "733      155.0   864.0     9              5\n",
      "734      155.0   904.0    20             21\n",
      "735      155.0   865.0    11             21\n",
      "736      155.0   905.0    20             13\n",
      "737      155.0   873.0    17             13\n",
      "738      155.0   874.0     3              3\n",
      "739      155.0   914.0    19             19\n",
      "740      155.0   875.0    13             22\n",
      "741      155.0   876.0    17             14\n",
      "742      155.0   878.0    16             14\n",
      "743      155.0   879.0    14              9\n",
      "744      155.0   907.0    19             16\n",
      "745      807.0   900.0     7              6\n",
      "746      807.0   926.0    13              7\n",
      "747      807.0   948.0    10              7\n",
      "748      807.0   969.0    11             11\n",
      "749      807.0   989.0     7              7\n",
      "750      807.0  1010.0    11              7\n",
      "751      807.0   861.0    16              9\n",
      "752      807.0   881.0    12              8\n",
      "753      807.0   901.0     7              5\n",
      "754      807.0   927.0    13             14\n",
      "755      807.0   963.0     8              8\n",
      "756      807.0   983.0     8             16\n",
      "757      807.0   863.0    13             12\n",
      "758      807.0   883.0    14             12\n",
      "759      807.0   902.0    11              5\n",
      "760      807.0   929.0     8             13\n",
      "761      807.0   949.0     8             15\n",
      "762      807.0   971.0     7              9\n",
      "763      807.0   990.0     7              6\n",
      "764      807.0  1011.0    17             17\n",
      "765      807.0  1074.0    17             17\n",
      "766      807.0   864.0    13             10\n",
      "767      807.0   884.0    15             15\n",
      "768      807.0   904.0    10             10\n",
      "769      807.0   973.0    13              6\n",
      "770      807.0  1014.0     0             13\n",
      "771      807.0   865.0    10              8\n",
      "772      807.0   885.0    11             11\n",
      "773      807.0   905.0    11              5\n",
      "774      807.0   931.0    11             11\n",
      "775      807.0   953.0     5              6\n",
      "776      807.0   994.0    11              8\n",
      "777      807.0  1015.0    11             13\n",
      "778      807.0   873.0    11             14\n",
      "779      807.0   893.0    11              9\n",
      "780      807.0   913.0    13              9\n",
      "781      807.0   939.0    11             20\n",
      "782      807.0   982.0     7             14\n",
      "783      807.0  1003.0    10             10\n",
      "784      807.0  1024.0     8              9\n",
      "785      807.0   874.0    15              7\n",
      "786      807.0   895.0     7              6\n",
      "787      807.0   914.0    13              8\n",
      "788      807.0   940.0    13              6\n",
      "789      807.0   964.0     9              8\n",
      "790      807.0   984.0    11             17\n",
      "791      807.0  1005.0    16             19\n",
      "792      807.0  1026.0    15             20\n",
      "793      807.0   875.0     8              6\n",
      "794      807.0   894.0     7              4\n",
      "795      807.0   876.0    12              8\n",
      "796      807.0   896.0     7             19\n",
      "797      807.0   878.0     6              8\n",
      "798      807.0   898.0     4              6\n",
      "799      807.0   916.0    13             16\n",
      "800      807.0   942.0     6             14\n",
      "801      807.0  1006.0     7              6\n",
      "802      807.0  1028.0    11              9\n",
      "803      807.0   879.0     6              5\n",
      "804      807.0   899.0    10              8\n",
      "805      807.0   917.0    12              8\n",
      "806      807.0   944.0     5              6\n",
      "807      807.0   967.0     8              7\n",
      "808      807.0   987.0     7             10\n",
      "809      807.0  1029.0    13             15\n",
      "810      807.0   907.0    10              9\n",
      "811      807.0   933.0     5              6\n",
      "812      807.0   956.0     2             19\n",
      "813      807.0   977.0    11             13\n",
      "814      807.0  1018.0    15             13\n",
      "815      807.0   915.0    17             12\n",
      "816      807.0   972.0     8              8\n",
      "817      807.0  1004.0    12             12\n",
      "818      807.0  1025.0     6             10\n",
      "819      807.0   934.0     9              7\n",
      "820      807.0   976.0    13             17\n",
      "821      807.0  1013.0    15             14\n",
      "822      807.0   996.0    12              9\n",
      "823      807.0  1017.0    13              8\n",
      "824      807.0  1041.0    20              8\n",
      "825      807.0  1075.0    17             12\n",
      "826      808.0   860.0    19             19\n",
      "827      808.0   861.0    19             16\n",
      "828      808.0   863.0    18             16\n",
      "829      808.0   864.0    18             17\n",
      "830      808.0   865.0    18             20\n",
      "831      808.0   873.0    18             19\n",
      "832      808.0   874.0    22             17\n",
      "833      808.0   875.0    18             16\n",
      "834      808.0   876.0    19             17\n",
      "835      808.0   878.0    21             17\n",
      "836      808.0   879.0    19             11\n",
      "837      813.0   860.0     8             13\n",
      "838      813.0   880.0    17             21\n",
      "839      813.0   900.0    21             16\n",
      "840      813.0   861.0    11             19\n",
      "841      813.0   881.0    16             19\n",
      "842      813.0   927.0    12             16\n",
      "843      813.0   863.0    21             23\n",
      "844      813.0   883.0    17             11\n",
      "845      813.0   902.0    17             14\n",
      "846      813.0   929.0    16             15\n",
      "847      813.0   864.0     1              1\n",
      "848      813.0   884.0    17             14\n",
      "849      813.0   904.0    22             15\n",
      "850      813.0   885.0    16             20\n",
      "851      813.0   873.0     2             22\n",
      "852      813.0   893.0    18             11\n",
      "853      813.0   913.0    18             12\n",
      "854      813.0   939.0    18             12\n",
      "855      813.0   874.0    12              8\n",
      "856      813.0   895.0    15             16\n",
      "857      813.0   914.0    22             16\n",
      "858      813.0   940.0    11              8\n",
      "859      813.0   875.0    15             14\n",
      "860      813.0   894.0    18             13\n",
      "861      813.0   876.0     9             16\n",
      "862      813.0   896.0    18             12\n",
      "863      813.0   878.0     9              9\n",
      "864      813.0   898.0    17             17\n",
      "865      813.0   916.0    10              9\n",
      "866      813.0   942.0    12              8\n",
      "867      813.0   899.0    16             16\n",
      "868      813.0   917.0    16             12\n",
      "869      813.0   944.0    15             10\n",
      "870      813.0   907.0    13             12\n",
      "871      813.0   933.0    10              7\n",
      "872      813.0   915.0    21             18\n",
      "873      813.0   941.0    14              7\n",
      "874      814.0   860.0    15             10\n",
      "875      814.0   880.0     9              8\n",
      "876      814.0   861.0    14              7\n",
      "877      814.0   881.0    15             21\n",
      "878      814.0   863.0    10              6\n",
      "879      814.0   883.0     5              4\n",
      "880      814.0   864.0    12             14\n",
      "881      814.0   884.0    10              7\n",
      "882      814.0   865.0    14              7\n",
      "883      814.0   885.0    17              9\n",
      "884      814.0   873.0     6              4\n",
      "885      814.0   893.0    17             20\n",
      "886      814.0   874.0    11             12\n",
      "887      814.0   895.0    12             11\n",
      "888      814.0   875.0    14             12\n",
      "889      814.0   894.0    15             22\n",
      "890      814.0   876.0    16             12\n",
      "891      814.0   896.0    12              8\n",
      "892      814.0   878.0    13             15\n",
      "893      814.0   898.0    11             16\n",
      "894      814.0   879.0    10             19\n",
      "895      814.0   899.0    12             11\n",
      "896      815.0   860.0    22              8\n",
      "897      815.0   880.0    15             11\n",
      "898      815.0   900.0    16             10\n",
      "899      815.0   926.0    14             10\n",
      "900      815.0   948.0     9             13\n",
      "901      815.0   969.0    10              7\n",
      "902      815.0   989.0    12             11\n",
      "903      815.0  1010.0    10             13\n",
      "904      815.0  1076.0     3              2\n",
      "905      815.0   861.0     9              2\n",
      "906      815.0   881.0     9              9\n",
      "907      815.0   927.0    14             13\n",
      "908      815.0   963.0     7              6\n",
      "909      815.0   983.0     9              6\n",
      "910      815.0   863.0     8             11\n",
      "911      815.0   883.0    12              6\n",
      "912      815.0   902.0     4              3\n",
      "913      815.0   929.0    11              8\n",
      "914      815.0   949.0    18             16\n",
      "915      815.0   971.0    18              7\n",
      "916      815.0   990.0    12             16\n",
      "917      815.0  1011.0    14             10\n",
      "918      815.0  1045.0     5             18\n",
      "919      815.0  1052.0     0              5\n",
      "920      815.0  1074.0     4             18\n",
      "921      815.0   864.0     5             20\n",
      "922      815.0   884.0     8              9\n",
      "923      815.0   904.0    11              9\n",
      "924      815.0   973.0     8              4\n",
      "925      815.0   993.0    15              9\n",
      "926      815.0  1014.0    15             15\n",
      "927      815.0  1036.0     4              5\n",
      "928      815.0  1055.0     8              5\n",
      "929      815.0  1079.0     5              2\n",
      "930      815.0   865.0    23             11\n",
      "931      815.0   885.0     7             16\n",
      "932      815.0   931.0     7              7\n",
      "933      815.0   953.0     7              3\n",
      "934      815.0   974.0     7             13\n",
      "935      815.0   994.0     9             12\n",
      "936      815.0  1015.0    16             12\n",
      "937      815.0  1056.0     9              4\n",
      "938      815.0  1080.0     3              1\n",
      "939      815.0   873.0    14             10\n",
      "940      815.0   893.0    14              8\n",
      "941      815.0   913.0    15              7\n",
      "942      815.0   939.0    13              7\n",
      "943      815.0   962.0    17              8\n",
      "944      815.0   982.0    12              5\n",
      "945      815.0  1003.0     7             16\n",
      "946      815.0  1024.0    15             19\n",
      "947      815.0  1091.0     2              1\n",
      "948      815.0   874.0     5             22\n",
      "949      815.0   895.0    11             15\n",
      "950      815.0   940.0     9             12\n",
      "951      815.0   964.0     5              7\n",
      "952      815.0   984.0     7              7\n",
      "953      815.0  1005.0     9              7\n",
      "954      815.0  1026.0    17              8\n",
      "955      815.0  1092.0     4              2\n",
      "956      815.0   875.0    12             11\n",
      "957      815.0   894.0    10             10\n",
      "958      815.0   876.0     8             24\n",
      "959      815.0   896.0     9              5\n",
      "960      815.0   878.0    15             11\n",
      "961      815.0   898.0     7              7\n",
      "962      815.0   942.0     5              5\n",
      "963      815.0   965.0    11              8\n",
      "964      815.0   985.0     9              8\n",
      "965      815.0  1006.0    10              8\n",
      "966      815.0  1028.0     0             10\n",
      "967      815.0  1069.0     3              3\n",
      "968      815.0  1093.0     9              4\n",
      "969      815.0   917.0    18             15\n",
      "970      815.0   944.0    11             12\n",
      "971      815.0   967.0     9              4\n",
      "972      815.0   987.0     5              9\n",
      "973      815.0  1008.0    12             10\n",
      "974      815.0  1029.0    15              9\n",
      "975      815.0  1071.0     4              4\n",
      "976      815.0  1095.0     4              7\n",
      "977      815.0   907.0    15              6\n",
      "978      815.0   933.0    13              9\n",
      "979      815.0   956.0    16             17\n",
      "980      815.0   977.0     7              7\n",
      "981      815.0   997.0    16              7\n",
      "982      815.0  1018.0    13             11\n",
      "983      815.0  1031.0     6              6\n",
      "984      815.0  1060.0     3              6\n",
      "985      815.0  1084.0     5             20\n",
      "986      815.0   915.0    12             10\n",
      "987      815.0   941.0     7              3\n",
      "988      815.0   941.0     7              3\n",
      "989      815.0   951.0     6              9\n",
      "990      815.0   972.0     9              6\n",
      "991      815.0  1004.0     8             10\n",
      "992      815.0  1025.0    11              7\n",
      "993      815.0  1066.0     8              9\n",
      "994      815.0   934.0    11              9\n",
      "995      815.0   976.0     6             15\n",
      "996      815.0   992.0     8              3\n",
      "997      815.0  1013.0     5              6\n",
      "998      815.0  1057.0     6              1\n",
      "999      815.0  1081.0     2              2\n",
      "1000     815.0  1017.0    14             12\n",
      "1001     815.0  1059.0     4              3\n",
      "1002     815.0  1038.0     4             10\n",
      "1003     815.0  1041.0     9              4\n",
      "1004     815.0  1051.0    11              4\n",
      "1005     815.0  1064.0     0              8\n",
      "1006     815.0  1088.0     5              5\n",
      "1007     815.0  1070.0     4              3\n",
      "1008     815.0  1094.0     4              3\n",
      "1009     815.0  1072.0     5             17\n",
      "1010     815.0  1075.0     1              4\n",
      "1011     817.0   860.0    10              9\n",
      "1012     817.0   880.0    14             19\n",
      "1013     817.0   900.0     2             22\n",
      "1014     817.0   926.0     6              6\n",
      "1015     817.0   948.0     8              4\n",
      "1016     817.0   989.0     8              4\n",
      "1017     817.0  1010.0    12             19\n",
      "1018     817.0  1076.0     7              6\n",
      "1019     817.0   861.0    15             12\n",
      "1020     817.0   881.0    13             18\n",
      "1021     817.0   901.0     5             16\n",
      "1022     817.0   927.0     4             10\n",
      "1023     817.0   963.0     4              1\n",
      "1024     817.0   983.0     4              3\n",
      "1025     817.0   863.0     6             15\n",
      "1026     817.0   883.0    13             16\n",
      "1027     817.0   902.0    13              4\n",
      "1028     817.0   929.0     7              6\n",
      "1029     817.0   949.0     5              4\n",
      "1030     817.0   971.0     4              5\n",
      "1031     817.0  1011.0    10             18\n",
      "1032     817.0  1045.0     6              7\n",
      "1033     817.0  1052.0     6              7\n",
      "1034     817.0  1074.0    18             14\n",
      "1035     817.0   864.0    15             13\n",
      "1036     817.0   884.0    11             10\n",
      "1037     817.0   904.0     3              3\n",
      "1038     817.0   973.0     6              3\n",
      "1039     817.0   993.0     6              5\n",
      "1040     817.0  1014.0    13             12\n",
      "1041     817.0  1036.0    13             11\n",
      "1042     817.0  1055.0     7              6\n",
      "1043     817.0  1079.0     9             12\n",
      "1044     817.0   865.0    15             17\n",
      "1045     817.0   885.0    12             18\n",
      "1046     817.0   905.0     3              3\n",
      "1047     817.0   931.0     4              5\n",
      "1048     817.0   953.0     1              2\n",
      "1049     817.0   974.0     5              3\n",
      "1050     817.0   994.0     1              1\n",
      "1051     817.0  1015.0     6              9\n",
      "1052     817.0  1056.0    12             12\n",
      "1053     817.0  1080.0    14             13\n",
      "1054     817.0   873.0    15              9\n",
      "1055     817.0   893.0     9             22\n",
      "1056     817.0   913.0     3              3\n",
      "1057     817.0   939.0     2              2\n",
      "1058     817.0   962.0     2              2\n",
      "1059     817.0   982.0     3              2\n",
      "1060     817.0  1003.0     6              6\n",
      "1061     817.0  1024.0    20             14\n",
      "1062     817.0  1091.0    16              5\n",
      "1063     817.0   874.0    14             10\n",
      "1064     817.0   895.0    16             13\n",
      "1065     817.0   914.0     6              4\n",
      "1066     817.0   940.0     7             15\n",
      "1067     817.0   964.0     4              6\n",
      "1068     817.0   984.0     3              3\n",
      "1069     817.0  1005.0    15              4\n",
      "1070     817.0  1026.0    16             19\n",
      "1071     817.0  1092.0    11             11\n",
      "1072     817.0   875.0    21              9\n",
      "1073     817.0   894.0    12             19\n",
      "1074     817.0   876.0    15             13\n",
      "1075     817.0   896.0    11             10\n",
      "1076     817.0   878.0    18             12\n",
      "1077     817.0   898.0    10             11\n",
      "1078     817.0   916.0     5              3\n",
      "1079     817.0   942.0     3             10\n",
      "1080     817.0   965.0     3              3\n",
      "1081     817.0   985.0     4             18\n",
      "1082     817.0  1028.0     9              6\n",
      "1083     817.0  1069.0     6              5\n",
      "1084     817.0  1093.0    15             16\n",
      "1085     817.0   879.0    15             13\n",
      "1086     817.0   899.0     7             10\n",
      "1087     817.0   917.0     9             18\n",
      "1088     817.0   944.0    19             11\n",
      "1089     817.0   967.0     6              8\n",
      "1090     817.0   987.0    14              6\n",
      "1091     817.0  1008.0    11              4\n",
      "1092     817.0  1029.0    11              6\n",
      "1093     817.0  1071.0    11             19\n",
      "1094     817.0   907.0     5              8\n",
      "1095     817.0   933.0    18             10\n",
      "1096     817.0   956.0     5              5\n",
      "1097     817.0   977.0     4              3\n",
      "1098     817.0   997.0     7             18\n",
      "1099     817.0  1018.0    12             12\n",
      "1100     817.0  1060.0    13              7\n",
      "1101     817.0  1084.0    11              9\n",
      "1102     817.0   915.0     6              7\n",
      "1103     817.0   941.0    10             15\n",
      "1104     817.0   941.0    10             15\n",
      "1105     817.0   951.0     5             11\n",
      "1106     817.0  1004.0    18              6\n",
      "1107     817.0  1025.0    10             19\n",
      "1108     817.0  1066.0     5              4\n",
      "1109     817.0   934.0    10             15\n",
      "1110     817.0   976.0    10              1\n",
      "1111     817.0   992.0     4             17\n",
      "1112     817.0  1013.0    10             20\n",
      "1113     817.0  1057.0    13              9\n",
      "1114     817.0  1081.0    12              8\n",
      "1115     817.0   996.0     5              4\n",
      "1116     817.0  1017.0     8             11\n",
      "1117     817.0  1059.0    10              6\n",
      "1118     817.0  1038.0     7              6\n",
      "1119     817.0  1041.0     6              3\n",
      "1120     817.0  1051.0    14             12\n",
      "1121     817.0  1064.0    10             11\n",
      "1122     817.0  1088.0    17             17\n",
      "1123     817.0  1070.0     7             12\n",
      "1124     817.0  1094.0    11              7\n",
      "1125     817.0  1072.0    11              5\n",
      "1126     817.0  1075.0    14             17\n",
      "1127     818.0   860.0    11             11\n",
      "1128     818.0   880.0    13             12\n",
      "1129     818.0   900.0     6              8\n",
      "1130     818.0   861.0    18              8\n",
      "1131     818.0   881.0    17             10\n",
      "1132     818.0   901.0     9             19\n",
      "1133     818.0   863.0    17             14\n",
      "1134     818.0   883.0    16             22\n",
      "1135     818.0   902.0    14             21\n",
      "1136     818.0   864.0    14             12\n",
      "1137     818.0   884.0    12             20\n",
      "1138     818.0   904.0    21             22\n",
      "1139     818.0   865.0    16             12\n",
      "1140     818.0   885.0    10              8\n",
      "1141     818.0   905.0     7             17\n",
      "1142     818.0   873.0    16             20\n",
      "1143     818.0   893.0    12             14\n",
      "1144     818.0   913.0    12              6\n",
      "1145     818.0   874.0    19             13\n",
      "1146     818.0   895.0    17             12\n",
      "1147     818.0   914.0    20              9\n",
      "1148     818.0   875.0    16              8\n",
      "1149     818.0   894.0    16             18\n",
      "1150     818.0   876.0    18             15\n",
      "1151     818.0   896.0    14             13\n",
      "1152     818.0   898.0    14             12\n",
      "1153     818.0   916.0    14             10\n",
      "1154     818.0   879.0    17              8\n",
      "1155     818.0   899.0     8             15\n",
      "1156     818.0   917.0    15             13\n",
      "1157     818.0   907.0    14             20\n",
      "1158     818.0   915.0     9             13\n",
      "1159     819.0   860.0    21             15\n",
      "1160     819.0   880.0    22             16\n",
      "1161     819.0   861.0    21             20\n",
      "1162     819.0   881.0    20             14\n",
      "1163     819.0   863.0    19             24\n",
      "1164     819.0   883.0    18             17\n",
      "1165     819.0   864.0    20             21\n",
      "1166     819.0   884.0    22             17\n",
      "1167     819.0   865.0    21             18\n",
      "1168     819.0   873.0    21             16\n",
      "1169     819.0   893.0    19             19\n",
      "1170     819.0   874.0    21             20\n",
      "1171     819.0   895.0    20             18\n",
      "1172     819.0   875.0    24             19\n",
      "1173     819.0   894.0    19             14\n",
      "1174     819.0   876.0    24             19\n",
      "1175     819.0   896.0    21             21\n",
      "1176     819.0   878.0    20             20\n",
      "1177     819.0   898.0    22             20\n",
      "1178     819.0   879.0    22             12\n",
      "1179     819.0   899.0    18             20\n",
      "1180      16.0   880.0    12              7\n",
      "1181      16.0   900.0    13             11\n",
      "1182      16.0   881.0     8             20\n",
      "1183      16.0   901.0    17             18\n",
      "1184      16.0   883.0     6             13\n",
      "1185      16.0   902.0    22             22\n",
      "1186      16.0   884.0    13             13\n",
      "1187      16.0   904.0    16             17\n",
      "1188      16.0   885.0     8              5\n",
      "1189      16.0   905.0    18             18\n",
      "1190      16.0   893.0    15             10\n",
      "1191      16.0   913.0    17             19\n",
      "1192      16.0   895.0    22             14\n",
      "1193      16.0   914.0    14             21\n",
      "1194      16.0   894.0    14             20\n",
      "1195      16.0   896.0    13              9\n",
      "1196      16.0   899.0    15             13\n",
      "1197      16.0   917.0    13             16\n",
      "1198      16.0   907.0    16             13\n",
      "1199      16.0   915.0    14             16\n",
      "1200     820.0   880.0    20             17\n",
      "1201     820.0   900.0    17             13\n",
      "1202     820.0   881.0    21             16\n",
      "1203     820.0   901.0    21             15\n",
      "1204     820.0   883.0    21             20\n",
      "1205     820.0   902.0    21             13\n",
      "1206     820.0   884.0    21             19\n",
      "1207     820.0   904.0    17             19\n",
      "1208     820.0   885.0    22             14\n",
      "1209     820.0   905.0    19             14\n",
      "1210     820.0   893.0    22             17\n",
      "1211     820.0   913.0    21             17\n",
      "1212     820.0   895.0    18             19\n",
      "1213     820.0   914.0    21             18\n",
      "1214     820.0   894.0    21             17\n",
      "1215     820.0   896.0    22             17\n",
      "1216     820.0   898.0    21             21\n",
      "1217     820.0   899.0    22             19\n",
      "1218     820.0   907.0    21             17\n",
      "1219     820.0   915.0    20             21\n",
      "1220     821.0   880.0    18             13\n",
      "1221     821.0   900.0    20             12\n",
      "1222     821.0   881.0    14             12\n",
      "1223     821.0   901.0    12             17\n",
      "1224     821.0   963.0    13             19\n",
      "1225     821.0   883.0    22             18\n",
      "1226     821.0   902.0    15             19\n",
      "1227     821.0   949.0    13             19\n",
      "1228     821.0   884.0    19             11\n",
      "1229     821.0   904.0    13             16\n",
      "1230     821.0   885.0    19             13\n",
      "1231     821.0   905.0    17             15\n",
      "1232     821.0   953.0    12             11\n",
      "1233     821.0   893.0    10             12\n",
      "1234     821.0   913.0    14             20\n",
      "1235     821.0   962.0    13             11\n",
      "1236     821.0   895.0    14              7\n",
      "1237     821.0   914.0    15             13\n",
      "1238     821.0   964.0    10             20\n",
      "1239     821.0   894.0     8             11\n",
      "1240     821.0   896.0    16             15\n",
      "1241     821.0   898.0    20             14\n",
      "1242     821.0   916.0    15             14\n",
      "1243     821.0   965.0    14             21\n",
      "1244     821.0   899.0    17             12\n",
      "1245     821.0   917.0    11             14\n",
      "1246     821.0   967.0    12             17\n",
      "1247     821.0   907.0    17             19\n",
      "1248     821.0   956.0    11             11\n",
      "1249     821.0   915.0    13             15\n",
      "1250     821.0   951.0    16             17\n",
      "1251     822.0   880.0    16             14\n",
      "1252     822.0   900.0    15              5\n",
      "1253     822.0   948.0    16              8\n",
      "1254     822.0   969.0     3              3\n",
      "1255     822.0   989.0    15              8\n",
      "1256     822.0  1010.0     2              1\n",
      "1257     822.0  1076.0    12              8\n",
      "1258     822.0   881.0    18             11\n",
      "1259     822.0   901.0    18              8\n",
      "1260     822.0   927.0     8              5\n",
      "1261     822.0   963.0    11              5\n",
      "1262     822.0   983.0     5              5\n",
      "1263     822.0   883.0    15             14\n",
      "1264     822.0   902.0     3              8\n",
      "1265     822.0   929.0     5              4\n",
      "1266     822.0   949.0     6              9\n",
      "1267     822.0   971.0     1              3\n",
      "1268     822.0   990.0     3              2\n",
      "1269     822.0  1011.0     4              2\n",
      "1270     822.0  1045.0     2              8\n",
      "1271     822.0  1052.0     3              3\n",
      "1272     822.0  1074.0     6              6\n",
      "1273     822.0   884.0    16             16\n",
      "1274     822.0   904.0     4              5\n",
      "1275     822.0   973.0     3             17\n",
      "1276     822.0   993.0     2              2\n",
      "1277     822.0  1014.0     1              2\n",
      "1278     822.0  1036.0     2              3\n",
      "1279     822.0  1055.0     3              3\n",
      "1280     822.0  1079.0     7              6\n",
      "1281     822.0   885.0    14             12\n",
      "1282     822.0   905.0    13             16\n",
      "1283     822.0   931.0    16             14\n",
      "1284     822.0   953.0    10             12\n",
      "1285     822.0   974.0     3              4\n",
      "1286     822.0   994.0     5              5\n",
      "1287     822.0  1015.0     2              3\n",
      "1288     822.0  1080.0    12              9\n",
      "1289     822.0   893.0    16             13\n",
      "1290     822.0   913.0     8             11\n",
      "1291     822.0   939.0     7              5\n",
      "1292     822.0   962.0    10             20\n",
      "1293     822.0   982.0     6              3\n",
      "1294     822.0  1003.0     4              4\n",
      "1295     822.0  1024.0     5              5\n",
      "1296     822.0  1091.0    15             11\n",
      "1297     822.0   895.0    13             17\n",
      "1298     822.0   914.0     3              6\n",
      "1299     822.0   940.0     3              5\n",
      "1300     822.0   964.0    11             10\n",
      "1301     822.0   984.0     6              4\n",
      "1302     822.0  1005.0     2              2\n",
      "1303     822.0  1026.0     3              1\n",
      "1304     822.0  1092.0    12             15\n",
      "1305     822.0   894.0    17             12\n",
      "1306     822.0   896.0    15             16\n",
      "1307     822.0   898.0     9              8\n",
      "1308     822.0   916.0     3              5\n",
      "1309     822.0   942.0    16             19\n",
      "1310     822.0   965.0     8             16\n",
      "1311     822.0   985.0     3              5\n",
      "1312     822.0  1006.0     3              5\n",
      "1313     822.0  1028.0     1              1\n",
      "1314     822.0  1069.0     9              6\n",
      "1315     822.0  1093.0     7             19\n",
      "1316     822.0   899.0    13             21\n",
      "1317     822.0   917.0     4             10\n",
      "1318     822.0   944.0     7              5\n",
      "1319     822.0   967.0    11             11\n",
      "1320     822.0   987.0     1              2\n",
      "1321     822.0  1008.0     3              5\n",
      "1322     822.0  1029.0     4             20\n",
      "1323     822.0  1071.0     1              3\n",
      "1324     822.0  1095.0    14              9\n",
      "1325     822.0   907.0     2              3\n",
      "1326     822.0   933.0     6              5\n",
      "1327     822.0   956.0     7              9\n",
      "1328     822.0   977.0     1              1\n",
      "1329     822.0  1018.0     3              3\n",
      "1330     822.0  1031.0     1              1\n",
      "1331     822.0  1060.0     5              2\n",
      "1332     822.0  1084.0     0             11\n",
      "1333     822.0   915.0     3              3\n",
      "1334     822.0   941.0     3             12\n",
      "1335     822.0   941.0     3             12\n",
      "1336     822.0   951.0     2              4\n",
      "1337     822.0   972.0     3              1\n",
      "1338     822.0  1004.0     1              2\n",
      "1339     822.0  1025.0     4              2\n",
      "1340     822.0  1066.0    16              5\n",
      "1341     822.0   934.0     4              5\n",
      "1342     822.0   976.0     2              2\n",
      "1343     822.0   992.0     3             14\n",
      "1344     822.0  1013.0     1              1\n",
      "1345     822.0  1057.0    10             12\n",
      "1346     822.0  1081.0    15             11\n",
      "1347     822.0   996.0     2              7\n",
      "1348     822.0  1017.0     2              2\n",
      "1349     822.0  1059.0     3              4\n",
      "1350     822.0  1038.0     2              5\n",
      "1351     822.0  1041.0     1             19\n",
      "1352     822.0  1051.0     6             20\n",
      "1353     822.0  1064.0     3              3\n",
      "1354     822.0  1088.0    16             19\n",
      "1355     822.0  1070.0     1             15\n",
      "1356     822.0  1094.0     6             10\n",
      "1357     822.0  1072.0     2              3\n",
      "1358     822.0  1075.0     8             15\n",
      "1359     823.0   880.0    21             18\n",
      "1360     823.0   881.0    22             15\n",
      "1361     823.0   883.0    20             21\n",
      "1362     823.0   884.0    18             21\n",
      "1363     823.0   885.0    15             15\n",
      "1364     823.0   893.0    20             16\n",
      "1365     823.0   894.0    20             15\n",
      "1366     823.0   898.0    18             19\n",
      "1367     823.0   899.0    20             18\n",
      "1368     826.0   900.0     8              9\n",
      "1369     826.0   969.0     9              9\n",
      "1370     826.0  1010.0    15             10\n",
      "1371     826.0   901.0    11             10\n",
      "1372     826.0   927.0     5              9\n",
      "1373     826.0   963.0    15             14\n",
      "1374     826.0   902.0    12             11\n",
      "1375     826.0   929.0    17              9\n",
      "1376     826.0   949.0    15              7\n",
      "1377     826.0   971.0    11             12\n",
      "1378     826.0  1011.0    15             12\n",
      "1379     826.0  1045.0    10             11\n",
      "1380     826.0   904.0    12             14\n",
      "1381     826.0   973.0    19              9\n",
      "1382     826.0  1014.0     9              9\n",
      "1383     826.0  1036.0    12             12\n",
      "1384     826.0   931.0     5              4\n",
      "1385     826.0   953.0     8             20\n",
      "1386     826.0   974.0     9             14\n",
      "1387     826.0  1015.0     7              7\n",
      "1388     826.0   913.0    10             14\n",
      "1389     826.0   939.0     4              6\n",
      "1390     826.0   962.0     7              9\n",
      "1391     826.0   982.0    13             16\n",
      "1392     826.0  1024.0    14             15\n",
      "1393     826.0   914.0    12             11\n",
      "1394     826.0   940.0    20             13\n",
      "1395     826.0   964.0    13             13\n",
      "1396     826.0  1026.0    14             10\n",
      "1397     826.0   916.0    17             15\n",
      "1398     826.0   942.0     4             13\n",
      "1399     826.0   965.0    13             11\n",
      "1400     826.0   985.0    11             10\n",
      "1401     826.0  1028.0    13             12\n",
      "1402     826.0   917.0    17             11\n",
      "1403     826.0   944.0     6              7\n",
      "1404     826.0   967.0    14             13\n",
      "1405     826.0  1029.0    16             10\n",
      "1406     826.0   907.0     7             22\n",
      "1407     826.0   933.0    15             12\n",
      "1408     826.0   977.0    14             16\n",
      "1409     826.0  1018.0    16             17\n",
      "1410     826.0  1031.0    13             12\n",
      "1411     826.0   915.0     5             14\n",
      "1412     826.0   941.0    11              5\n",
      "1413     826.0   941.0    11              5\n",
      "1414     826.0   951.0     8             15\n",
      "1415     826.0   972.0    12             12\n",
      "1416     826.0  1025.0    19             12\n",
      "1417     826.0   934.0     7              6\n",
      "1418     826.0  1013.0     6             19\n",
      "1419     826.0  1017.0    19             14\n",
      "1420     826.0  1038.0    11              9\n",
      "1421     826.0  1041.0    13             15\n",
      "1422     828.0   900.0    19             17\n",
      "1423     828.0   926.0    15              8\n",
      "1424     828.0   948.0    15             17\n",
      "1425     828.0   901.0    22             14\n",
      "1426     828.0   963.0    17             12\n",
      "1427     828.0   983.0    19             18\n",
      "1428     828.0   902.0    20             20\n",
      "1429     828.0   929.0    13             14\n",
      "1430     828.0   949.0    17             12\n",
      "1431     828.0   971.0    19             15\n",
      "1432     828.0   990.0    17              9\n",
      "1433     828.0   904.0    19             20\n",
      "1434     828.0   973.0    16             11\n",
      "1435     828.0   993.0    17             13\n",
      "1436     828.0   905.0    22             11\n",
      "1437     828.0   931.0    17             13\n",
      "1438     828.0   953.0    17             16\n",
      "1439     828.0   974.0    19             17\n",
      "1440     828.0   994.0    16             11\n",
      "1441     828.0   913.0    22             15\n",
      "1442     828.0   939.0    17             11\n",
      "1443     828.0   962.0    14             17\n",
      "1444     828.0   982.0    20             15\n",
      "1445     828.0  1003.0    14             11\n",
      "1446     828.0   914.0    17             17\n",
      "1447     828.0   940.0    15             14\n",
      "1448     828.0   964.0    18             15\n",
      "1449     828.0  1005.0    20             12\n",
      "1450     828.0   942.0    14             15\n",
      "1451     828.0   965.0    16             14\n",
      "1452     828.0   985.0    13             15\n",
      "1453     828.0  1006.0    16             10\n",
      "1454     828.0   944.0    12             16\n",
      "1455     828.0   967.0    20             21\n",
      "1456     828.0   987.0    17             13\n",
      "1457     828.0  1008.0     6             20\n",
      "1458     828.0   907.0    20             18\n",
      "1459     828.0   933.0    11             13\n",
      "1460     828.0   956.0    18             15\n",
      "1461     828.0   977.0    19             15\n",
      "1462     828.0   997.0    20             10\n",
      "1463     828.0   915.0    16             19\n",
      "1464     828.0   951.0    22             14\n",
      "1465     828.0   972.0    18             15\n",
      "1466     828.0  1004.0    10             13\n",
      "1467     828.0   934.0    15             11\n",
      "1468     828.0   976.0    17             11\n",
      "1469     828.0   992.0    18             11\n",
      "1470     828.0   996.0    15             13\n",
      "1471     831.0   926.0    10              5\n",
      "1472     831.0   948.0    17             15\n",
      "1473     831.0   927.0    16             12\n",
      "1474     831.0   963.0    18             17\n",
      "1475     831.0   929.0    12             12\n",
      "1476     831.0   949.0    21             14\n",
      "1477     831.0   931.0    14              9\n",
      "1478     831.0   953.0     0             17\n",
      "1479     831.0   939.0    16             10\n",
      "1480     831.0   962.0    16             13\n",
      "1481     831.0   940.0    16             20\n",
      "1482     831.0   964.0    19             19\n",
      "1483     831.0   942.0    15              9\n",
      "1484     831.0   965.0    21             15\n",
      "1485     831.0   944.0    13             13\n",
      "1486     831.0   967.0    21              9\n",
      "1487     831.0   933.0     8             11\n",
      "1488     831.0   956.0    21             13\n",
      "1489     831.0   941.0    12              6\n",
      "1490     831.0   941.0    12              6\n",
      "1491     831.0   951.0    19             16\n",
      "1492     832.0   926.0     7              9\n",
      "1493     832.0   948.0     7              9\n",
      "1494     832.0   969.0     8              8\n",
      "1495     832.0   989.0     9             10\n",
      "1496     832.0   927.0    15              8\n",
      "1497     832.0   963.0    16             11\n",
      "1498     832.0   929.0     9             19\n",
      "1499     832.0   949.0    11             18\n",
      "1500     832.0   971.0    16             16\n",
      "1501     832.0   990.0    10             11\n",
      "1502     832.0  1011.0     7             19\n",
      "1503     832.0  1045.0    15              5\n",
      "1504     832.0  1052.0     8              8\n",
      "1505     832.0  1074.0     3              2\n",
      "1506     832.0   973.0    12              7\n",
      "1507     832.0   993.0     9              7\n",
      "1508     832.0  1014.0    12              8\n",
      "1509     832.0  1036.0     7              6\n",
      "1510     832.0  1055.0     6              7\n",
      "1511     832.0  1079.0     3              4\n",
      "1512     832.0   931.0     0             10\n",
      "1513     832.0   953.0     6              8\n",
      "1514     832.0   974.0     6              6\n",
      "1515     832.0   994.0     8             10\n",
      "1516     832.0  1015.0     9              6\n",
      "1517     832.0  1056.0     4              2\n",
      "1518     832.0  1080.0     2              2\n",
      "1519     832.0   939.0    14              9\n",
      "1520     832.0   962.0     6             14\n",
      "1521     832.0   982.0    10              4\n",
      "1522     832.0  1003.0    12              8\n",
      "1523     832.0  1024.0     7             12\n",
      "1524     832.0  1091.0     4              3\n",
      "1525     832.0   940.0    10             10\n",
      "1526     832.0   964.0    14             17\n",
      "1527     832.0  1005.0    13             10\n",
      "1528     832.0  1026.0     7              5\n",
      "1529     832.0   942.0    20              7\n",
      "1530     832.0   965.0    10              6\n",
      "1531     832.0   985.0     7              7\n",
      "1532     832.0  1006.0    11              7\n",
      "1533     832.0  1028.0     7              8\n",
      "1534     832.0  1069.0     5              7\n",
      "1535     832.0   967.0    15              6\n",
      "1536     832.0   987.0     8             11\n",
      "1537     832.0  1008.0    15             12\n",
      "1538     832.0  1029.0    20              3\n",
      "1539     832.0  1071.0     3              6\n",
      "1540     832.0  1095.0     7              3\n",
      "1541     832.0   933.0    12             16\n",
      "1542     832.0   956.0    15              8\n",
      "1543     832.0   977.0    10             17\n",
      "1544     832.0   997.0     9             12\n",
      "1545     832.0  1018.0    19              8\n",
      "1546     832.0  1031.0     8              5\n",
      "1547     832.0  1060.0    10              5\n",
      "1548     832.0  1084.0     3             18\n",
      "1549     832.0   941.0    20             16\n",
      "1550     832.0   941.0    20             16\n",
      "1551     832.0   951.0    11             12\n",
      "1552     832.0   972.0    14             10\n",
      "1553     832.0  1004.0    11             17\n",
      "1554     832.0  1025.0     5              6\n",
      "1555     832.0  1066.0     2              3\n",
      "1556     832.0   934.0     8             14\n",
      "1557     832.0   976.0    15              8\n",
      "1558     832.0   992.0     9              5\n",
      "1559     832.0  1013.0     9              7\n",
      "1560     832.0  1057.0     5              8\n",
      "1561     832.0   996.0     7              8\n",
      "1562     832.0  1017.0     6              6\n",
      "1563     832.0  1059.0     5             11\n",
      "1564     832.0  1038.0     3              2\n",
      "1565     832.0  1041.0    10              5\n",
      "1566     832.0  1051.0     5              7\n",
      "1567     832.0  1064.0     6              7\n",
      "1568     832.0  1088.0     3              8\n",
      "1569     832.0  1070.0     6              6\n",
      "1570     832.0  1094.0     5              5\n",
      "1571     832.0  1072.0    15              8\n",
      "1572     832.0  1075.0     3              3\n",
      "1573     836.0   948.0    21             16\n",
      "1574     836.0   963.0    21             15\n",
      "1575     836.0   983.0    18             17\n",
      "1576     836.0   949.0    16             13\n",
      "1577     836.0   971.0    13             11\n",
      "1578     836.0   973.0    15              8\n",
      "1579     836.0   953.0    20             14\n",
      "1580     836.0   974.0    18             19\n",
      "1581     836.0   962.0    19             16\n",
      "1582     836.0   982.0    19             12\n",
      "1583     836.0   964.0    21             22\n",
      "1584     836.0   984.0    17             15\n",
      "1585     836.0   965.0    20             17\n",
      "1586     836.0   985.0    14             19\n",
      "1587     836.0   967.0    19             15\n",
      "1588     836.0   987.0    15             14\n",
      "1589     836.0   956.0    12             10\n",
      "1590     836.0   977.0    20             14\n",
      "1591     836.0   951.0    20             18\n",
      "1592     836.0   972.0    17             16\n",
      "1593     836.0   976.0    14             10\n",
      "1594     837.0   948.0    22             19\n",
      "1595     837.0   949.0    20             17\n",
      "1596     837.0   953.0    19             15\n",
      "1597     837.0   956.0    20             16\n",
      "1598     838.0   969.0    18             13\n",
      "1599     838.0   989.0    11              9\n",
      "1600     838.0   983.0     7              7\n",
      "1601     838.0   949.0    12             10\n",
      "1602     838.0   990.0    14              8\n",
      "1603     838.0   973.0    20             18\n",
      "1604     838.0   993.0    11             15\n",
      "1605     838.0   974.0    12             16\n",
      "1606     838.0   994.0    12             14\n",
      "1607     838.0   982.0     9              7\n",
      "1608     838.0  1003.0    18             12\n",
      "1609     838.0   984.0     9             14\n",
      "1610     838.0  1005.0    19             15\n",
      "1611     838.0   985.0    20             12\n",
      "1612     838.0  1006.0    17             11\n",
      "1613     838.0  1008.0    20             14\n",
      "1614     838.0   977.0    13             12\n",
      "1615     838.0   997.0    15             15\n",
      "1616     838.0   972.0    20             14\n",
      "1617     838.0  1004.0    15             16\n",
      "1618     838.0   976.0    18             12\n",
      "1619     838.0   992.0    16              9\n",
      "1620     838.0   996.0    17             12\n",
      "1621     839.0   969.0    13             10\n",
      "1622     839.0   989.0    14             12\n",
      "1623     839.0  1076.0     8              7\n",
      "1624     839.0   963.0    20             16\n",
      "1625     839.0   983.0     6             10\n",
      "1626     839.0   971.0    14             10\n",
      "1627     839.0   990.0     8             10\n",
      "1628     839.0  1045.0     7              9\n",
      "1629     839.0  1052.0    16             13\n",
      "1630     839.0  1074.0    11              7\n",
      "1631     839.0   973.0    10              5\n",
      "1632     839.0   993.0    13             16\n",
      "1633     839.0  1036.0    15             13\n",
      "1634     839.0  1055.0     5              9\n",
      "1635     839.0  1079.0    12              7\n",
      "1636     839.0   974.0    15             12\n",
      "1637     839.0   994.0     6              6\n",
      "1638     839.0  1056.0    11              9\n",
      "1639     839.0  1080.0    10             12\n",
      "1640     839.0   962.0    21             18\n",
      "1641     839.0   982.0    14             10\n",
      "1642     839.0   964.0    20             21\n",
      "1643     839.0   984.0     5              6\n",
      "1644     839.0  1005.0    11              9\n",
      "1645     839.0  1092.0     5              4\n",
      "1646     839.0   965.0    22             18\n",
      "1647     839.0   985.0     6              6\n",
      "1648     839.0  1006.0     6             19\n",
      "1649     839.0  1069.0    11             19\n",
      "1650     839.0  1093.0     0             11\n",
      "1651     839.0   967.0    22             12\n",
      "1652     839.0  1008.0    18             15\n",
      "1653     839.0  1071.0     8              8\n",
      "1654     839.0  1095.0    16              8\n",
      "1655     839.0   977.0     9              8\n",
      "1656     839.0   997.0    11              6\n",
      "1657     839.0  1031.0    14              8\n",
      "1658     839.0  1084.0     6              5\n",
      "1659     839.0   972.0    10              7\n",
      "1660     839.0  1004.0     6              9\n",
      "1661     839.0  1066.0     9             14\n",
      "1662     839.0   976.0     7              6\n",
      "1663     839.0  1081.0    13             10\n",
      "1664     839.0  1059.0    11             14\n",
      "1665     839.0  1038.0    12              8\n",
      "1666     839.0  1051.0     9              5\n",
      "1667     839.0  1064.0     8              9\n",
      "1668     839.0  1088.0    12              9\n",
      "1669     839.0  1070.0    19             13\n",
      "1670     839.0  1094.0    10              8\n",
      "1671     839.0  1072.0     9              4\n",
      "1672     839.0  1075.0     5              6\n",
      "1673     840.0   969.0    20             16\n",
      "1674     840.0   989.0    13             14\n",
      "1675     840.0  1010.0    16              9\n",
      "1676     840.0  1076.0    19             12\n",
      "1677     840.0   983.0    13              8\n",
      "1678     840.0   971.0    12             17\n",
      "1679     840.0   990.0    20             14\n",
      "1680     840.0  1011.0    18             14\n",
      "1681     840.0  1045.0    13             19\n",
      "1682     840.0  1052.0    10             10\n",
      "1683     840.0  1074.0    19             12\n",
      "1684     840.0   973.0    18             16\n",
      "1685     840.0   993.0    18             11\n",
      "1686     840.0  1014.0    16             19\n",
      "1687     840.0  1036.0     5              4\n",
      "1688     840.0  1055.0    11             11\n",
      "1689     840.0  1079.0    17             15\n",
      "1690     840.0   974.0    17             15\n",
      "1691     840.0   994.0    17             17\n",
      "1692     840.0  1015.0    17             16\n",
      "1693     840.0  1056.0    13              8\n",
      "1694     840.0  1080.0    18             14\n",
      "1695     840.0   982.0    18              8\n",
      "1696     840.0  1003.0    20             14\n",
      "1697     840.0  1024.0    16             13\n",
      "1698     840.0  1091.0    11              6\n",
      "1699     840.0   984.0    15             16\n",
      "1700     840.0  1005.0    14             17\n",
      "1701     840.0  1026.0    12              9\n",
      "1702     840.0  1092.0    19             12\n",
      "1703     840.0   985.0    15             11\n",
      "1704     840.0  1006.0    15             14\n",
      "1705     840.0  1028.0    14             13\n",
      "1706     840.0  1069.0    13             12\n",
      "1707     840.0  1093.0     5             18\n",
      "1708     840.0   987.0    16             16\n",
      "1709     840.0  1008.0    19             18\n",
      "1710     840.0  1029.0    17             19\n",
      "1711     840.0  1071.0    14             20\n",
      "1712     840.0  1095.0    15             10\n",
      "1713     840.0   977.0    18             10\n",
      "1714     840.0   997.0    14             14\n",
      "1715     840.0  1018.0    14             14\n",
      "1716     840.0  1060.0     9             13\n",
      "1717     840.0  1084.0    12             13\n",
      "1718     840.0   972.0    11             11\n",
      "1719     840.0  1004.0    14             15\n",
      "1720     840.0  1025.0    14             11\n",
      "1721     840.0  1066.0     7             11\n",
      "1722     840.0   976.0     8              3\n",
      "1723     840.0   992.0    10              8\n",
      "1724     840.0  1013.0    13              9\n",
      "1725     840.0  1081.0    19             16\n",
      "1726     840.0   996.0    19             17\n",
      "1727     840.0  1017.0    17             13\n",
      "1728     840.0  1059.0    19             10\n",
      "1729     840.0  1038.0     8              3\n",
      "1730     840.0  1051.0    12              6\n",
      "1731     840.0  1064.0    12             12\n",
      "1732     840.0  1088.0    10             10\n",
      "1733     840.0  1070.0    20             14\n",
      "1734     840.0  1094.0    20             15\n",
      "1735     840.0  1072.0    18             11\n",
      "1736     840.0  1075.0    13             13\n",
      "1737     841.0   969.0    16             12\n",
      "1738     841.0  1010.0    14             15\n",
      "1739     841.0  1011.0    16             11\n",
      "1740     841.0  1045.0    16             16\n",
      "1741     841.0  1052.0    12             12\n",
      "1742     841.0  1014.0    18             16\n",
      "1743     841.0  1036.0    20             16\n",
      "1744     841.0  1055.0    14             15\n",
      "1745     841.0  1015.0    18             19\n",
      "1746     841.0  1056.0    10             10\n",
      "1747     841.0  1024.0    10             10\n",
      "1748     841.0  1026.0    11             14\n",
      "1749     841.0  1028.0    16             14\n",
      "1750     841.0  1069.0    12             11\n",
      "1751     841.0  1029.0    12              5\n",
      "1752     841.0  1071.0    13             14\n",
      "1753     841.0  1018.0     7             10\n",
      "1754     841.0  1031.0    18              9\n",
      "1755     841.0  1060.0    15             14\n",
      "1756     841.0  1025.0    12             15\n",
      "1757     841.0  1066.0    17             16\n",
      "1758     841.0  1013.0    17             12\n",
      "1759     841.0  1057.0    20             11\n",
      "1760     841.0  1017.0    10             16\n",
      "1761     841.0  1059.0    13             15\n",
      "1762     841.0  1038.0    18             16\n",
      "1763     841.0  1041.0    14             10\n",
      "1764     841.0  1051.0    18             15\n",
      "1765     841.0  1064.0     7             14\n",
      "1766     841.0  1070.0    11             11\n",
      "1767     841.0  1072.0    10              9\n",
      "1768     842.0  1010.0    17             11\n",
      "1769     842.0  1076.0    11              9\n",
      "1770     842.0   983.0    15             14\n",
      "1771     842.0   990.0     5              4\n",
      "1772     842.0  1011.0    13              8\n",
      "1773     842.0  1045.0     8              6\n",
      "1774     842.0  1052.0     5             17\n",
      "1775     842.0  1074.0    10             20\n",
      "1776     842.0  1014.0     6              6\n",
      "1777     842.0  1036.0    10              9\n",
      "1778     842.0  1055.0    12             10\n",
      "1779     842.0  1079.0    14             13\n",
      "1780     842.0   994.0    10              7\n",
      "1781     842.0  1015.0     8              5\n",
      "1782     842.0  1056.0     6              6\n",
      "1783     842.0  1080.0    17             11\n",
      "1784     842.0  1003.0    15             13\n",
      "1785     842.0  1024.0    11              8\n",
      "1786     842.0  1091.0     7             10\n",
      "1787     842.0   984.0    14             13\n",
      "1788     842.0  1005.0     7             11\n",
      "1789     842.0  1026.0     9              7\n",
      "1790     842.0  1092.0    17             18\n",
      "1791     842.0  1006.0    19             12\n",
      "1792     842.0  1028.0    10             16\n",
      "1793     842.0  1069.0     8             20\n",
      "1794     842.0  1093.0    11             14\n",
      "1795     842.0   987.0    19             12\n",
      "1796     842.0  1008.0     9             13\n",
      "1797     842.0  1029.0     6              2\n",
      "1798     842.0  1071.0     7              7\n",
      "1799     842.0  1095.0    10             14\n",
      "1800     842.0   997.0    12             11\n",
      "1801     842.0  1018.0     8              7\n",
      "1802     842.0  1031.0    12              7\n",
      "1803     842.0  1060.0     6              9\n",
      "1804     842.0  1084.0    14             15\n",
      "1805     842.0  1025.0    16             14\n",
      "1806     842.0  1066.0    11             13\n",
      "1807     842.0   992.0    17             12\n",
      "1808     842.0  1057.0     4              3\n",
      "1809     842.0  1081.0     6              5\n",
      "1810     842.0  1017.0     9             10\n",
      "1811     842.0  1059.0     6              7\n",
      "1812     842.0  1038.0    10              1\n",
      "1813     842.0  1041.0    12              6\n",
      "1814     842.0  1051.0     2             11\n",
      "1815     842.0  1064.0     4              4\n",
      "1816     842.0  1088.0    11             11\n",
      "1817     842.0  1070.0     5              4\n",
      "1818     842.0  1094.0    14             11\n",
      "1819     842.0  1072.0     6              6\n",
      "1820     842.0  1075.0     9              8\n",
      "1821     844.0   989.0    18             13\n",
      "1822     844.0  1010.0     5              5\n",
      "1823     844.0  1076.0     1              1\n",
      "1824     844.0   990.0    19             12\n",
      "1825     844.0  1011.0     1              3\n",
      "1826     844.0  1045.0    12             10\n",
      "1827     844.0  1052.0     4              6\n",
      "1828     844.0  1074.0     1              1\n",
      "1829     844.0   993.0    14             10\n",
      "1830     844.0  1014.0     5              5\n",
      "1831     844.0  1036.0     9             20\n",
      "1832     844.0  1055.0     4              4\n",
      "1833     844.0  1079.0     1             20\n",
      "1834     844.0   994.0    14             18\n",
      "1835     844.0  1015.0    15             20\n",
      "1836     844.0  1080.0     1              4\n",
      "1837     844.0  1003.0    13              9\n",
      "1838     844.0  1024.0     1              2\n",
      "1839     844.0  1091.0     1              2\n",
      "1840     844.0  1005.0    10             18\n",
      "1841     844.0  1026.0     2              6\n",
      "1842     844.0  1092.0     2              3\n",
      "1843     844.0  1006.0     9             15\n",
      "1844     844.0  1028.0     4              4\n",
      "1845     844.0  1069.0     4              4\n",
      "1846     844.0  1093.0    12              3\n",
      "1847     844.0  1008.0     7              7\n",
      "1848     844.0  1029.0    14             18\n",
      "1849     844.0  1071.0     6              5\n",
      "1850     844.0  1095.0     5              4\n",
      "1851     844.0   997.0    18              9\n",
      "1852     844.0  1018.0     1              2\n",
      "1853     844.0  1031.0     7              2\n",
      "1854     844.0  1060.0    12              8\n",
      "1855     844.0  1084.0     2              1\n",
      "1856     844.0  1004.0     7              7\n",
      "1857     844.0  1025.0     1              3\n",
      "1858     844.0  1066.0    19             15\n",
      "1859     844.0   992.0    13              6\n",
      "1860     844.0  1013.0     8              5\n",
      "1861     844.0  1057.0     1              4\n",
      "1862     844.0  1081.0     1             19\n",
      "1863     844.0   996.0     8             10\n",
      "1864     844.0  1017.0     3              3\n",
      "1865     844.0  1059.0     7             16\n",
      "1866     844.0  1038.0    13             18\n",
      "1867     844.0  1041.0     4              7\n",
      "1868     844.0  1051.0    13              8\n",
      "1869     844.0  1064.0     5              5\n",
      "1870     844.0  1088.0     2              3\n",
      "1871     844.0  1070.0     8              5\n",
      "1872     844.0  1094.0     7              6\n",
      "1873     844.0  1072.0     4              7\n",
      "1874     844.0  1075.0     2              2\n",
      "1875     845.0   990.0    18             15\n",
      "1876     845.0   993.0    19             14\n",
      "1877     845.0   994.0    13             16\n",
      "1878     845.0  1003.0    19             19\n",
      "1879     845.0  1005.0    17             16\n",
      "1880     845.0  1006.0    14             13\n",
      "1881     845.0  1008.0    14             16\n",
      "1882     845.0   997.0    17             13\n",
      "1883     845.0  1004.0    13             18\n",
      "1884     845.0   996.0    18             15\n",
      "1885       9.0  1010.0    20             17\n",
      "1886       9.0  1011.0    20             16\n",
      "1887       9.0  1014.0    17             18\n",
      "1888       9.0  1015.0    20             18\n",
      "1889       9.0  1024.0    19             16\n",
      "1890       9.0  1026.0     0             17\n",
      "1891       9.0  1028.0    19             19\n",
      "1892       9.0  1029.0    19             16\n",
      "1893       9.0  1018.0    17             20\n",
      "1894       9.0  1025.0    18             16\n",
      "1895       9.0  1013.0     0             16\n",
      "1896       9.0  1017.0    18             18\n",
      "1897       9.0  1064.0    16             15\n",
      "1898     846.0  1010.0     8             12\n",
      "1899     846.0  1076.0     4              5\n",
      "1900     846.0  1011.0     9              6\n",
      "1901     846.0  1045.0     9              4\n",
      "1902     846.0  1052.0     7              4\n",
      "1903     846.0  1074.0    13             15\n",
      "1904     846.0  1014.0    10             20\n",
      "1905     846.0  1036.0     8             10\n",
      "1906     846.0  1055.0     9              8\n",
      "1907     846.0  1079.0    11              8\n",
      "1908     846.0  1015.0    12             11\n",
      "1909     846.0  1056.0     5              3\n",
      "1910     846.0  1080.0     5              6\n",
      "1911     846.0  1024.0     9              7\n",
      "1912     846.0  1091.0     6              4\n",
      "1913     846.0  1026.0     8             11\n",
      "1914     846.0  1092.0    10             10\n",
      "1915     846.0  1028.0     8              7\n",
      "1916     846.0  1069.0     7              8\n",
      "1917     846.0  1093.0     6              6\n",
      "1918     846.0  1029.0    10              8\n",
      "1919     846.0  1071.0     5             10\n",
      "1920     846.0  1095.0     6             18\n",
      "1921     846.0  1018.0     5              6\n",
      "1922     846.0  1031.0     3              3\n",
      "1923     846.0  1060.0     2              3\n",
      "1924     846.0  1084.0    10              7\n",
      "1925     846.0  1025.0     7              8\n",
      "1926     846.0  1066.0     1              7\n",
      "1927     846.0  1013.0     7              8\n",
      "1928     846.0  1057.0     9              5\n",
      "1929     846.0  1081.0    11              9\n",
      "1930     846.0  1017.0     5              9\n",
      "1931     846.0  1059.0     8              5\n",
      "1932     846.0  1038.0     6              4\n",
      "1933     846.0  1041.0     8             16\n",
      "1934     846.0  1051.0     4              9\n",
      "1935     846.0  1064.0    13             10\n",
      "1936     846.0  1088.0     7              7\n",
      "1937     846.0  1070.0    18             10\n",
      "1938     846.0  1094.0     8              9\n",
      "1939     846.0  1072.0     7             10\n",
      "1940     846.0  1075.0    11              7\n",
      "1941     847.0  1010.0    19             16\n",
      "1942     847.0  1076.0     6              3\n",
      "1943     847.0  1011.0    19             15\n",
      "1944     847.0  1045.0    14             12\n",
      "1945     847.0  1052.0    15             14\n",
      "1946     847.0  1074.0     9              4\n",
      "1947     847.0  1014.0    19             17\n",
      "1948     847.0  1036.0    18             17\n",
      "1949     847.0  1055.0    15             14\n",
      "1950     847.0  1079.0     4              3\n",
      "1951     847.0  1015.0    19             15\n",
      "1952     847.0  1056.0    15             14\n",
      "1953     847.0  1080.0     6              5\n",
      "1954     847.0  1024.0    18             20\n",
      "1955     847.0  1091.0     0             14\n",
      "1956     847.0  1026.0    18             16\n",
      "1957     847.0  1092.0     8              8\n",
      "1958     847.0  1028.0    18             17\n",
      "1959     847.0  1069.0    20             14\n",
      "1960     847.0  1093.0     4              5\n",
      "1961     847.0  1029.0    18             12\n",
      "1962     847.0  1071.0    17             13\n",
      "1963     847.0  1095.0     1              1\n",
      "1964     847.0  1018.0     0             18\n",
      "1965     847.0  1031.0    17             15\n",
      "1966     847.0  1060.0     8             11\n",
      "1967     847.0  1084.0     4              4\n",
      "1968     847.0  1025.0    17             17\n",
      "1969     847.0  1066.0     3             10\n",
      "1970     847.0  1013.0    16             15\n",
      "1971     847.0  1057.0    15             17\n",
      "1972     847.0  1081.0     5              3\n",
      "1973     847.0  1017.0    20             19\n",
      "1974     847.0  1059.0    14             12\n",
      "1975     847.0  1038.0    19             14\n",
      "1976     847.0  1041.0    17             20\n",
      "1977     847.0  1051.0    15             17\n",
      "1978     847.0  1064.0    11             17\n",
      "1979     847.0  1088.0     6              2\n",
      "1980     847.0  1070.0    16             16\n",
      "1981     847.0  1094.0     2              4\n",
      "1982     847.0  1072.0    14             19\n",
      "1983     847.0  1075.0     6              5\n",
      "1984     848.0  1010.0    13             14\n",
      "1985     848.0  1076.0    20             10\n",
      "1986     848.0  1011.0    12              9\n",
      "1987     848.0  1045.0     4              3\n",
      "1988     848.0  1074.0    14             13\n",
      "1989     848.0  1014.0    11             11\n",
      "1990     848.0  1036.0     6              8\n",
      "1991     848.0  1079.0    18             18\n",
      "1992     848.0  1015.0    10              8\n",
      "1993     848.0  1080.0    16             18\n",
      "1994     848.0  1024.0     6              6\n",
      "1995     848.0  1026.0     6              4\n",
      "1996     848.0  1028.0     6              5\n",
      "1997     848.0  1093.0     8             13\n",
      "1998     848.0  1029.0     5             14\n",
      "1999     848.0  1095.0    19             15\n",
      "2000     848.0  1018.0    18             15\n",
      "2001     848.0  1031.0     4             13\n",
      "2002     848.0  1084.0    15             12\n",
      "2003     848.0  1025.0     0              5\n",
      "2004     848.0  1013.0    11             11\n",
      "2005     848.0  1081.0    17             12\n",
      "2006     848.0  1017.0    11             15\n",
      "2007     848.0  1038.0     9             15\n",
      "2008     848.0  1041.0     5             17\n",
      "2009     848.0  1088.0    15             12\n",
      "2010     848.0  1094.0    17             12\n",
      "2011     848.0  1075.0    16             14\n",
      "2012     849.0  1076.0    18             16\n",
      "2013     849.0  1045.0    20             14\n",
      "2014     849.0  1052.0    17             18\n",
      "2015     849.0  1074.0    20             16\n",
      "2016     849.0  1036.0    19             18\n",
      "2017     849.0  1055.0    19             16\n",
      "2018     849.0  1079.0    19             16\n",
      "2019     849.0  1056.0    18             15\n",
      "2020     849.0  1080.0    19             15\n",
      "2021     849.0  1092.0    20              9\n",
      "2022     849.0  1069.0    14             15\n",
      "2023     849.0  1093.0    17             17\n",
      "2024     849.0  1071.0    16             16\n",
      "2025     849.0  1095.0    18             16\n",
      "2026     849.0  1031.0    20             11\n",
      "2027     849.0  1060.0    18             16\n",
      "2028     849.0  1084.0    17             19\n",
      "2029     849.0  1066.0    18             19\n",
      "2030     849.0  1057.0    16             16\n",
      "2031     849.0  1081.0    18             15\n",
      "2032     849.0  1059.0    16             18\n",
      "2033     849.0  1038.0    20             11\n",
      "2034     849.0  1041.0    18             14\n",
      "2035     849.0  1051.0    17             19\n",
      "2036     849.0  1064.0     0             16\n",
      "2037     849.0  1088.0    20             18\n",
      "2038     849.0  1070.0    13             17\n",
      "2039     849.0  1094.0    18             18\n",
      "2040     849.0  1072.0    16             12\n",
      "2041     852.0  1076.0    13             15\n",
      "2042     852.0  1052.0    13              9\n",
      "2043     852.0  1074.0    16              8\n",
      "2044     852.0  1079.0    13             10\n",
      "2045     852.0  1056.0    16             16\n",
      "2046     852.0  1080.0    11             17\n",
      "2047     852.0  1091.0    10             15\n",
      "2048     852.0  1092.0    13             13\n",
      "2049     852.0  1069.0    10              9\n",
      "2050     852.0  1093.0    19             10\n",
      "2051     852.0  1071.0    15             15\n",
      "2052     852.0  1095.0     0             17\n",
      "2053     852.0  1060.0     7             12\n",
      "2054     852.0  1084.0    16             16\n",
      "2055     852.0  1066.0    12             17\n",
      "2056     852.0  1057.0     7              7\n",
      "2057     852.0  1081.0     8             13\n",
      "2058     852.0  1059.0     0             13\n",
      "2059     852.0  1051.0     8             13\n",
      "2060     852.0  1064.0    14             19\n",
      "2061     852.0  1088.0     9             20\n",
      "2062     852.0  1094.0    13             20\n",
      "2063     852.0  1072.0     8             14\n",
      "2064      37.0   861.0    22             22\n",
      "2065      37.0   863.0    20             20\n",
      "2066      37.0   864.0    22             19\n",
      "2067      37.0   873.0    24             17\n",
      "2068      37.0   874.0    20             18\n",
      "2069      37.0   876.0    22             23\n",
      "2070      37.0   878.0    23             21\n",
      "2071      37.0   879.0    24             17\n",
      "2072      39.0   861.0    23             21\n",
      "2073      39.0   863.0    24             21\n",
      "2074      39.0   864.0    23             22\n",
      "2075      39.0   865.0    22             15\n",
      "2076      39.0   873.0    23             23\n",
      "2077      39.0   874.0    24             21\n",
      "2078      39.0   875.0    23             20\n",
      "2079      39.0   876.0    23             21\n",
      "2080      39.0   878.0    24             22\n",
      "2081      39.0   879.0    23             18\n",
      "2082     833.0   927.0    19             15\n",
      "2083     833.0   929.0    19             17\n",
      "2084     833.0   931.0    19             16\n",
      "2085     833.0   933.0    16             14\n",
      "2086     833.0   941.0    18             13\n",
      "2087     833.0   934.0    20             12\n",
      "2088     829.0   929.0    18             16\n",
      "2089     829.0   931.0    18             17\n",
      "2090     829.0   939.0    19             15\n",
      "2091     829.0   940.0    18             19\n",
      "2092     829.0   944.0    18             17\n",
      "2093     829.0   941.0    17             14\n",
      "2094     829.0   934.0    19             13\n",
      "2095     853.0  1055.0    20             19\n",
      "2096     853.0  1056.0    19             17\n",
      "2097     853.0  1069.0    17             17\n",
      "2098     853.0  1071.0    19             17\n",
      "2099     853.0  1060.0    20             19\n",
      "2100     853.0  1066.0    15             18\n",
      "2101     853.0  1057.0    18             14\n",
      "2102     853.0  1059.0    18             20\n",
      "2103     853.0  1051.0    20             18\n",
      "2104     853.0  1064.0    18             20\n",
      "2105     853.0  1070.0    15             18\n",
      "2106     853.0  1072.0    20             18\n",
      "2107     834.0   939.0    20             14\n",
      "2108     834.0   940.0    19             18\n",
      "2109     834.0   942.0    17             12\n",
      "2110     834.0   944.0    17             18\n"
     ]
    }
   ],
   "source": [
    "columns_to_keep_merged = ['driverId','raceId', 'grid','positionOrder']\n",
    "\n",
    "new_merged_df = ml_dataframe_df[columns_to_keep_merged].copy()\n",
    "\n",
    "print (new_merged_df)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "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>driverId</th>\n",
       "      <th>raceId</th>\n",
       "      <th>grid</th>\n",
       "      <th>positionOrder</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>860.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>880.0</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.0</td>\n",
       "      <td>926.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.0</td>\n",
       "      <td>948.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.0</td>\n",
       "      <td>969.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1.0</td>\n",
       "      <td>989.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1010.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1076.0</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1.0</td>\n",
       "      <td>861.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1.0</td>\n",
       "      <td>881.0</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1.0</td>\n",
       "      <td>901.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1.0</td>\n",
       "      <td>927.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1.0</td>\n",
       "      <td>963.0</td>\n",
       "      <td>1</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1.0</td>\n",
       "      <td>983.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1.0</td>\n",
       "      <td>863.0</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1.0</td>\n",
       "      <td>883.0</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1.0</td>\n",
       "      <td>902.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1.0</td>\n",
       "      <td>929.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1.0</td>\n",
       "      <td>949.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1.0</td>\n",
       "      <td>971.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    driverId  raceId  grid  positionOrder\n",
       "0        1.0   860.0     1              3\n",
       "1        1.0   880.0     3              5\n",
       "2        1.0   926.0     1              1\n",
       "3        1.0   948.0     1              2\n",
       "4        1.0   969.0     1              2\n",
       "5        1.0   989.0     1              2\n",
       "6        1.0  1010.0     1              2\n",
       "7        1.0  1076.0     5              4\n",
       "8        1.0   861.0     1              3\n",
       "9        1.0   881.0     4              3\n",
       "10       1.0   901.0     1              1\n",
       "11       1.0   927.0     1              2\n",
       "12       1.0   963.0     1             18\n",
       "13       1.0   983.0     1              2\n",
       "14       1.0   863.0     2              8\n",
       "15       1.0   883.0     9              5\n",
       "16       1.0   902.0     2              1\n",
       "17       1.0   929.0     1              1\n",
       "18       1.0   949.0     1              3\n",
       "19       1.0   971.0     2              2"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_merged_df.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  1.,   3.,   4.,   5.,   8.,  10.,  13.,  17.,  18.,  20.,  30.,\n",
       "       154., 155., 807., 808., 813., 814., 815., 817., 818., 819.,  16.,\n",
       "       820., 821., 822., 823., 826., 828., 831., 832., 836., 837., 838.,\n",
       "       839., 840., 841., 842., 844., 845.,   9., 846., 847., 848., 849.,\n",
       "       852.,  37.,  39., 833., 829., 853., 834.])"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_merged_df.driverId.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2111 entries, 0 to 2110\n",
      "Data columns (total 4 columns):\n",
      " #   Column         Non-Null Count  Dtype  \n",
      "---  ------         --------------  -----  \n",
      " 0   driverId       2111 non-null   float64\n",
      " 1   raceId         2111 non-null   float64\n",
      " 2   grid           2111 non-null   int64  \n",
      " 3   positionOrder  2111 non-null   int64  \n",
      "dtypes: float64(2), int64(2)\n",
      "memory usage: 66.1 KB\n"
     ]
    }
   ],
   "source": [
    "new_merged_df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### KNN model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.metrics import classification_report, accuracy_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.89\n",
      "Classification Report:\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.92      0.94      0.93       344\n",
      "           1       0.72      0.63      0.68        79\n",
      "\n",
      "    accuracy                           0.89       423\n",
      "   macro avg       0.82      0.79      0.80       423\n",
      "weighted avg       0.88      0.89      0.88       423\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Let's separate the features (X) and the target (y)\n",
    "X = new_merged_df[['grid']]  # Features (grid position)\n",
    "y = new_merged_df['positionOrder']  # Target (position order)\n",
    "\n",
    "# Define a function to convert position order to a binary classification task\n",
    "def is_podium_finish(position):\n",
    "    return 1 if position <= 3 else 0\n",
    "\n",
    "# Apply the function to create the binary target\n",
    "y_binary = y.apply(is_podium_finish)\n",
    "\n",
    "# Split the data into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y_binary, test_size=0.2, random_state=42)\n",
    "\n",
    "# Standardize the feature data (scaling is important for KNN)\n",
    "scaler = StandardScaler()\n",
    "X_train_scaled = scaler.fit_transform(X_train)\n",
    "X_test_scaled = scaler.transform(X_test)\n",
    "\n",
    "# Create a KNN classifier\n",
    "k = 5  # You can adjust the number of neighbors (K) as needed\n",
    "knn_classifier = KNeighborsClassifier(n_neighbors=k)\n",
    "\n",
    "# Train the KNN model on the training data\n",
    "knn_classifier.fit(X_train_scaled, y_train)\n",
    "\n",
    "# Make predictions on the test data\n",
    "y_pred = knn_classifier.predict(X_test_scaled)\n",
    "\n",
    "# Evaluate the model's performance\n",
    "accuracy = accuracy_score(y_test, y_pred)\n",
    "classification_rep = classification_report(y_test, y_pred)\n",
    "\n",
    "# Print the results\n",
    "print(f\"Accuracy: {accuracy:.2f}\")\n",
    "print(\"Classification Report:\\n\", classification_rep)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's tune our model, starting by changing our __k__ value:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "KNN with k=3\n",
      "Accuracy: 0.90\n",
      "Classification Report:\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.95      0.92      0.94       344\n",
      "           1       0.71      0.80      0.75        79\n",
      "\n",
      "    accuracy                           0.90       423\n",
      "   macro avg       0.83      0.86      0.84       423\n",
      "weighted avg       0.91      0.90      0.90       423\n",
      "\n",
      "----------------------------------------\n",
      "KNN with k=5\n",
      "Accuracy: 0.89\n",
      "Classification Report:\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.92      0.94      0.93       344\n",
      "           1       0.72      0.63      0.68        79\n",
      "\n",
      "    accuracy                           0.89       423\n",
      "   macro avg       0.82      0.79      0.80       423\n",
      "weighted avg       0.88      0.89      0.88       423\n",
      "\n",
      "----------------------------------------\n",
      "KNN with k=7\n",
      "Accuracy: 0.89\n",
      "Classification Report:\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.92      0.94      0.93       344\n",
      "           1       0.72      0.63      0.68        79\n",
      "\n",
      "    accuracy                           0.89       423\n",
      "   macro avg       0.82      0.79      0.80       423\n",
      "weighted avg       0.88      0.89      0.88       423\n",
      "\n",
      "----------------------------------------\n",
      "KNN with k=9\n",
      "Accuracy: 0.89\n",
      "Classification Report:\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.92      0.94      0.93       344\n",
      "           1       0.72      0.63      0.68        79\n",
      "\n",
      "    accuracy                           0.89       423\n",
      "   macro avg       0.82      0.79      0.80       423\n",
      "weighted avg       0.88      0.89      0.88       423\n",
      "\n",
      "----------------------------------------\n",
      "KNN with k=11\n",
      "Accuracy: 0.89\n",
      "Classification Report:\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.92      0.94      0.93       344\n",
      "           1       0.72      0.63      0.68        79\n",
      "\n",
      "    accuracy                           0.89       423\n",
      "   macro avg       0.82      0.79      0.80       423\n",
      "weighted avg       0.88      0.89      0.88       423\n",
      "\n",
      "----------------------------------------\n"
     ]
    }
   ],
   "source": [
    "# Let's separate the features (X) and the target (y)\n",
    "X = new_merged_df[['grid']]  # Features (grid position)\n",
    "y = new_merged_df['positionOrder']  # Target (position order)\n",
    "\n",
    "# Define a function to convert position order to a binary classification task\n",
    "def is_podium_finish(position):\n",
    "    return 1 if position <= 3 else 0\n",
    "\n",
    "# Apply the function to create the binary target\n",
    "y_binary = y.apply(is_podium_finish)\n",
    "\n",
    "# Split the data into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y_binary, test_size=0.2, random_state=42)\n",
    "\n",
    "# Standardize the feature data (scaling is important for KNN)\n",
    "scaler = StandardScaler()\n",
    "X_train_scaled = scaler.fit_transform(X_train)\n",
    "X_test_scaled = scaler.transform(X_test)\n",
    "\n",
    "# Define a list of different k values to compare\n",
    "k_values = [3, 5, 7, 9, 11]\n",
    "\n",
    "# Create KNN models with different k values and evaluate their performance\n",
    "for k in k_values:\n",
    "    knn_classifier = KNeighborsClassifier(n_neighbors=k)\n",
    "    knn_classifier.fit(X_train_scaled, y_train)\n",
    "    y_pred = knn_classifier.predict(X_test_scaled)\n",
    "    \n",
    "    # Evaluate and print the results for each k\n",
    "    accuracy = accuracy_score(y_test, y_pred)\n",
    "    classification_rep = classification_report(y_test, y_pred)\n",
    "    \n",
    "    print(f\"KNN with k={k}\")\n",
    "    print(f\"Accuracy: {accuracy:.2f}\")\n",
    "    print(\"Classification Report:\\n\", classification_rep)\n",
    "    print(\"-\" * 40)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- __Accuracy__ and __classification__ reports are fairly consistent across various __k__ values, ranging from 0.89 to 0.90 accuracy.\n",
    "\n",
    "- In __classification__ reports, we can see that the __precision__, __recall__, and __F1-score__ for class 1 (podium finishes) are consistently lower compared to class 0 (non-podium finishes). This suggests that the model is better at predicting non-podium finishes than podium finishes.\n",
    "\n",
    "- The F1-score for class 1 ranges from 0.68 to 0.75, which means there is room for improvement in correctly predicting podium finishes."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### GRID SEARCH"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split, GridSearchCV\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.neighbors import KNeighborsClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best K value found by grid search: 11\n"
     ]
    }
   ],
   "source": [
    "# Let's separate the features (X) and the target (y)\n",
    "X = new_merged_df[['grid']]  # Features (grid position)\n",
    "y = new_merged_df['positionOrder']  # Target (position order)\n",
    "\n",
    "# Define a function to convert position order to a binary classification task\n",
    "def is_podium_finish(position):\n",
    "    return 1 if position <= 3 else 0\n",
    "\n",
    "# Apply the function to create the binary target\n",
    "y_binary = y.apply(is_podium_finish)\n",
    "\n",
    "# Split the data into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y_binary, test_size=0.2, random_state=42)\n",
    "\n",
    "# Standardize the feature data (scaling is important for KNN)\n",
    "scaler = StandardScaler()\n",
    "X_train_scaled = scaler.fit_transform(X_train)\n",
    "X_test_scaled = scaler.transform(X_test)\n",
    "\n",
    "# Define a range of k values to search\n",
    "param_grid = {'n_neighbors': [3, 5, 7, 9, 11]}\n",
    "\n",
    "# Create a KNN classifier\n",
    "knn_classifier = KNeighborsClassifier()\n",
    "\n",
    "# Perform grid search with cross-validation\n",
    "grid_search = GridSearchCV(knn_classifier, param_grid, cv=5, scoring='accuracy')\n",
    "grid_search.fit(X_train_scaled, y_train)\n",
    "\n",
    "# Get the best k value from grid search\n",
    "best_k = grid_search.best_params_['n_neighbors']\n",
    "\n",
    "print(f\"Best K value found by grid search: {best_k}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.89\n",
      "Classification Report:\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.92      0.94      0.93       344\n",
      "           1       0.72      0.63      0.68        79\n",
      "\n",
      "    accuracy                           0.89       423\n",
      "   macro avg       0.82      0.79      0.80       423\n",
      "weighted avg       0.88      0.89      0.88       423\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Create a KNN classifier with the optimal k value\n",
    "knn_classifier = KNeighborsClassifier(n_neighbors=11)\n",
    "\n",
    "# Train the KNN model on the training data\n",
    "knn_classifier.fit(X_train_scaled, y_train)\n",
    "\n",
    "# Make predictions on the test data\n",
    "y_pred = knn_classifier.predict(X_test_scaled)\n",
    "\n",
    "# Evaluate the model's performance\n",
    "accuracy = accuracy_score(y_test, y_pred)\n",
    "classification_rep = classification_report(y_test, y_pred)\n",
    "\n",
    "# Print the results\n",
    "print(f\"Accuracy: {accuracy:.2f}\")\n",
    "print(\"Classification Report:\\n\", classification_rep)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- KNN model with the optimal k value of 11, as found through grid search, has an accuracy of approximately 0.89. \n",
    "\n",
    "- Precision for class 0 (non-podium finishes) is 0.92, which means that when the model predicts a driver doesn't finish in the top 3, it is correct about 92% of the time.\n",
    "\n",
    "- Recall for class 0 is 0.94, indicating that the model correctly identifies about 94% of the non-podium finishes.\n",
    "\n",
    "- Precision for class 1 (podium finishes) is 0.72, which means that when the model predicts a driver finishes in the top 3, it is correct about 72% of the time.\n",
    "\n",
    "- Recall for class 1 is 0.63, indicating that the model correctly identifies about 63% of the actual podium finishes.\n",
    "\n",
    "- The F1-score for class 1 is 0.68, which is a harmonic mean of precision and recall for podium finishes.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import confusion_matrix\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Make predictions on the test data using KNN with k=11\n",
    "knn_classifier = KNeighborsClassifier(n_neighbors=11)\n",
    "knn_classifier.fit(X_train_scaled, y_train)\n",
    "y_knn_pred = knn_classifier.predict(X_test_scaled)\n",
    "\n",
    "# Create a confusion matrix\n",
    "cm = confusion_matrix(y_test, y_knn_pred)\n",
    "\n",
    "# Plot the confusion matrix\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.heatmap(cm, annot=True, fmt=\"d\", cmap=\"Blues\", cbar=False,\n",
    "            xticklabels=['Not Podium', 'Podium'], yticklabels=['Not Podium', 'Podium'])\n",
    "plt.xlabel('Predicted')\n",
    "plt.ylabel('Actual')\n",
    "plt.title('Confusion Matrix for KNN (k=11)')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "                  Predicted\n",
    "                 | Not Podium | Podium |\n",
    "         |----------------------------------|\n",
    "         | Not Podium |    TN     |    FP    |\n",
    "         |----------------------------------|\n",
    "         |    Podium     |    FN     |    TP    |\n",
    "         |----------------------------------|\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Random Search"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split, RandomizedSearchCV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best K value found by random search: 16\n"
     ]
    }
   ],
   "source": [
    "# Let's separate the features (X) and the target (y)\n",
    "X = new_merged_df[['grid']]  # Features (grid position)\n",
    "y = new_merged_df['positionOrder']  # Target (position order)\n",
    "\n",
    "# Define a function to convert position order to a binary classification task\n",
    "def is_podium_finish(position):\n",
    "    return 1 if position <= 3 else 0\n",
    "\n",
    "# Apply the function to create the binary target\n",
    "y_binary = y.apply(is_podium_finish)\n",
    "\n",
    "# Split the data into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y_binary, test_size=0.2, random_state=42)\n",
    "\n",
    "# Standardize the feature data (scaling is important for KNN)\n",
    "scaler = StandardScaler()\n",
    "X_train_scaled = scaler.fit_transform(X_train)\n",
    "X_test_scaled = scaler.transform(X_test)\n",
    "\n",
    "# Define a range of k values to sample from\n",
    "param_dist = {'n_neighbors': np.arange(1, 21)}\n",
    "\n",
    "# Create a KNN classifier\n",
    "knn_classifier = KNeighborsClassifier()\n",
    "\n",
    "# Perform random search with cross-validation\n",
    "random_search = RandomizedSearchCV(knn_classifier, param_distributions=param_dist, n_iter=10, cv=5, scoring='accuracy', random_state=42)\n",
    "random_search.fit(X_train_scaled, y_train)\n",
    "\n",
    "# Get the best k value from random search\n",
    "best_k = random_search.best_params_['n_neighbors']\n",
    "\n",
    "print(f\"Best K value found by random search: {best_k}\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's now create a KNN model with k=16 and evaluate its performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.89\n",
      "Classification Report:\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.92      0.94      0.93       344\n",
      "           1       0.72      0.63      0.68        79\n",
      "\n",
      "    accuracy                           0.89       423\n",
      "   macro avg       0.82      0.79      0.80       423\n",
      "weighted avg       0.88      0.89      0.88       423\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Create a KNN classifier with the optimal k value (k=16)\n",
    "knn_classifier = KNeighborsClassifier(n_neighbors=16)\n",
    "\n",
    "# Train the KNN model on the training data\n",
    "knn_classifier.fit(X_train_scaled, y_train)\n",
    "\n",
    "# Make predictions on the test data\n",
    "y_pred = knn_classifier.predict(X_test_scaled)\n",
    "\n",
    "# Evaluate the model's performance\n",
    "accuracy = accuracy_score(y_test, y_pred)\n",
    "classification_rep = classification_report(y_test, y_pred)\n",
    "\n",
    "# Print the results\n",
    "print(f\"Accuracy: {accuracy:.2f}\")\n",
    "print(\"Classification Report:\\n\", classification_rep)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The __KNN__ model's performance remains consistent with an accuracy of approximately 0.89. The classification report shows that the model's precision, recall, and F1-score for podium finishes (class 1) are still relatively lower compared to non-podium finishes (class 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our best model is the one found through __grid search__ (k=11)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Logistic Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import classification_report, accuracy_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.87\n",
      "Classification Report:\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.89      0.96      0.92       344\n",
      "           1       0.72      0.49      0.59        79\n",
      "\n",
      "    accuracy                           0.87       423\n",
      "   macro avg       0.81      0.73      0.75       423\n",
      "weighted avg       0.86      0.87      0.86       423\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Let's separate the features (X) and the target (y)\n",
    "X = new_merged_df[['grid']]  # Features (grid position)\n",
    "y = new_merged_df['positionOrder']  # Target (position order)\n",
    "\n",
    "# Define a function to convert position order to a binary classification task\n",
    "def is_podium_finish(position):\n",
    "    return 1 if position <= 3 else 0\n",
    "\n",
    "# Apply the function to create the binary target\n",
    "y_binary = y.apply(is_podium_finish)\n",
    "\n",
    "# Split the data into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y_binary, test_size=0.2, random_state=42)\n",
    "\n",
    "# Standardize the feature data (scaling is important for logistic regression)\n",
    "scaler = StandardScaler()\n",
    "X_train_scaled = scaler.fit_transform(X_train)\n",
    "X_test_scaled = scaler.transform(X_test)\n",
    "\n",
    "# Create a logistic regression classifier\n",
    "logistic_classifier = LogisticRegression(random_state=42)\n",
    "\n",
    "# Train the logistic regression model on the training data\n",
    "logistic_classifier.fit(X_train_scaled, y_train)\n",
    "\n",
    "# Make predictions on the test data\n",
    "y_pred = logistic_classifier.predict(X_test_scaled)\n",
    "\n",
    "# Evaluate the model's performance\n",
    "accuracy = accuracy_score(y_test, y_pred)\n",
    "classification_rep = classification_report(y_test, y_pred)\n",
    "\n",
    "# Print the results\n",
    "print(f\"Accuracy: {accuracy:.2f}\")\n",
    "print(\"Classification Report:\\n\", classification_rep)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " The logistic regression model achieved an __accuracy__ of approximately 0.87 on the test data, which is a good starting point."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Comparing the two models:\n",
    "\n",
    "__Logistic Regression__:\n",
    "\n",
    "- Accuracy: 0.87\n",
    "- Precision (Class 1): 0.72\n",
    "- Recall (Class 1): 0.49\n",
    "- F1-Score (Class 1): 0.59\n",
    "\n",
    "__K-Nearest Neighbors (KNN) with k=11__:\n",
    "\n",
    "- Accuracy: 0.89\n",
    "- Precision (Class 1): 0.72\n",
    "- Recall (Class 1): 0.63\n",
    "- F1-Score (Class 1): 0.68\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Based on these metrics, the KNN model with k=11 appears to perform slightly better than the logistic regression model for this specific task of predicting podium finishes. It has a higher recall and F1-Score for class 1, indicating that it is better at correctly identifying podium finishes."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's try to improve our __Logistic Regression__ model:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Grid search"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best Hyperparameters: {'C': 0.1, 'penalty': 'l1', 'solver': 'liblinear'}\n",
      "Best Accuracy: 0.9016557512334732\n",
      "Accuracy on Test Data: 0.87\n",
      "Classification Report:\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.89      0.96      0.92       344\n",
      "           1       0.72      0.49      0.59        79\n",
      "\n",
      "    accuracy                           0.87       423\n",
      "   macro avg       0.81      0.73      0.75       423\n",
      "weighted avg       0.86      0.87      0.86       423\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#from sklearn.model_selection import GridSearchCV\n",
    "#from sklearn.linear_model import LogisticRegression\n",
    "#from sklearn.preprocessing import StandardScaler\n",
    "#from sklearn.model_selection import train_test_split\n",
    "#from sklearn.metrics import accuracy_score, classification_report\n",
    "#import pandas as pd\n",
    "\n",
    "\n",
    "# Split the data into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y_binary, test_size=0.2, random_state=42)\n",
    "\n",
    "# Standardize the feature data (scaling is important for logistic regression)\n",
    "scaler = StandardScaler()\n",
    "X_train_scaled = scaler.fit_transform(X_train)\n",
    "X_test_scaled = scaler.transform(X_test)\n",
    "\n",
    "# Create a logistic regression classifier\n",
    "logistic_classifier = LogisticRegression(random_state=42)\n",
    "\n",
    "# Define the hyperparameters and their possible values for the grid search\n",
    "param_grid = {\n",
    "    'penalty': ['l1', 'l2'],        # Regularization penalty (L1 or L2)\n",
    "    'C': [0.001, 0.01, 0.1, 1, 10],  # Inverse of regularization strength\n",
    "    'solver': ['liblinear', 'saga'], # Solver algorithm\n",
    "}\n",
    "\n",
    "# Create a GridSearchCV object\n",
    "grid_search = GridSearchCV(estimator=logistic_classifier, param_grid=param_grid, cv=5, scoring='accuracy')\n",
    "\n",
    "# Fit the grid search to the data\n",
    "grid_search.fit(X_train_scaled, y_train)\n",
    "\n",
    "# Get the best hyperparameters from the grid search\n",
    "best_params = grid_search.best_params_\n",
    "best_score = grid_search.best_score_\n",
    "\n",
    "# Print the best hyperparameters and corresponding accuracy\n",
    "print(\"Best Hyperparameters:\", best_params)\n",
    "print(\"Best Accuracy:\", best_score)\n",
    "\n",
    "# Get the best estimator (model) from the grid search\n",
    "best_logistic_classifier = grid_search.best_estimator_\n",
    "\n",
    "# Make predictions on the test data using the best model\n",
    "y_pred = best_logistic_classifier.predict(X_test_scaled)\n",
    "\n",
    "# Evaluate the best model's performance\n",
    "accuracy = accuracy_score(y_test, y_pred)\n",
    "classification_rep = classification_report(y_test, y_pred)\n",
    "\n",
    "# Print the results\n",
    "print(f\"Accuracy on Test Data: {accuracy:.2f}\")\n",
    "print(\"Classification Report:\\n\", classification_rep)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The accuracy on the test data remains the same as before, at 0.87. It seems that the hyperparameter tuning didn't lead to a significant improvement in this case."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import confusion_matrix\n",
    "\n",
    "# Calculate the confusion matrix\n",
    "conf_matrix = confusion_matrix(y_test, y_pred)\n",
    "\n",
    "# Create a heatmap of the confusion matrix\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.heatmap(conf_matrix, annot=True, fmt=\"d\", cmap=\"Blues\", cbar=False,\n",
    "            xticklabels=[\"Not on Podium (0)\", \"On Podium (1)\"],\n",
    "            yticklabels=[\"Not on Podium (0)\", \"On Podium (1)\"])\n",
    "plt.xlabel('Predicted')\n",
    "plt.ylabel('Actual')\n",
    "plt.title('Confusion Matrix')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Second Model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's add features to our baseline model, to try to reach a better precision value.\n",
    "For teh second model we will need the follow features:\n",
    "- Tyre data\n",
    "- Weather data\n",
    "- Grid position\n",
    "- Position Order\n",
    "- Driver Id\n",
    "- Race Id\n",
    "- circuitId"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.83\n",
      "Classification Report:\n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           0       0.98      0.81      0.89       344\n",
      "           1       0.53      0.91      0.67        79\n",
      "\n",
      "    accuracy                           0.83       423\n",
      "   macro avg       0.75      0.86      0.78       423\n",
      "weighted avg       0.89      0.83      0.84       423\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from imblearn.over_sampling import SMOTE\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import accuracy_score, classification_report\n",
    "\n",
    "# Separate your features (X) and target (y)\n",
    "X = new_merged_df[['grid']]\n",
    "y = new_merged_df['positionOrder']\n",
    "\n",
    "# Define a function to convert position order to a binary classification task\n",
    "def is_podium_finish(position):\n",
    "    return 1 if position <= 3 else 0\n",
    "\n",
    "# Apply the function to create the binary target\n",
    "y_binary = y.apply(is_podium_finish)\n",
    "\n",
    "# Split the data into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y_binary, test_size=0.2, random_state=42)\n",
    "\n",
    "# Standardize the feature data (scaling is important for logistic regression)\n",
    "scaler = StandardScaler()\n",
    "X_train_scaled = scaler.fit_transform(X_train)\n",
    "X_test_scaled = scaler.transform(X_test)\n",
    "\n",
    "# Apply SMOTE to oversample the minority class (class 1)\n",
    "smote = SMOTE(random_state=42)\n",
    "X_train_resampled, y_train_resampled = smote.fit_resample(X_train_scaled, y_train)\n",
    "\n",
    "# Create a logistic regression classifier\n",
    "logistic_classifier = LogisticRegression(random_state=42)\n",
    "\n",
    "# Train the logistic regression model on the resampled training data\n",
    "logistic_classifier.fit(X_train_resampled, y_train_resampled)\n",
    "\n",
    "# Make predictions on the test data\n",
    "y_pred = logistic_classifier.predict(X_test_scaled)\n",
    "\n",
    "# Evaluate the model's performance\n",
    "accuracy = accuracy_score(y_test, y_pred)\n",
    "classification_rep = classification_report(y_test, y_pred)\n",
    "\n",
    "# Print the results\n",
    "print(f\"Accuracy: {accuracy:.2f}\")\n",
    "print(\"Classification Report:\\n\", classification_rep)\n"
   ]
  }
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