final_project_brainstorm.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import altair as alt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "constructor_results = pd.read_csv(\"/Users/sophiaxiao/Documents/GitHub/emoryqtm151/Lecture 20/data_raw/constructor_results.csv\")\n",
    "races = pd.read_csv(\"/Users/sophiaxiao/Documents/GitHub/emoryqtm151/Lecture 19/data_raw/races.csv\")\n",
    "constructors = pd.read_csv(\"/Users/sophiaxiao/Documents/GitHub/emoryqtm151/Lecture 20/data_raw/constructors.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['constructorResultsId', 'raceId', 'constructorId', 'points', 'status'], dtype='object')\n",
      "Index(['raceId', 'year', 'round', 'circuitId', 'name', 'date', 'time', 'url',\n",
      "       'fp1_date', 'fp1_time', 'fp2_date', 'fp2_time', 'fp3_date', 'fp3_time',\n",
      "       'quali_date', 'quali_time', 'sprint_date', 'sprint_time'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "# Previewing the data\n",
    "constructor_results.head()\n",
    "races.head()\n",
    "constructors.head()\n",
    "\n",
    "print(constructor_results.columns)\n",
    "print(races.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      raceId  year  round  circuitId                      name        date  \\\n",
      "0          1  2009      1          1     Australian Grand Prix  2009-03-29   \n",
      "1          2  2009      2          2      Malaysian Grand Prix  2009-04-05   \n",
      "2          3  2009      3         17        Chinese Grand Prix  2009-04-19   \n",
      "3          4  2009      4          3        Bahrain Grand Prix  2009-04-26   \n",
      "4          5  2009      5          4        Spanish Grand Prix  2009-05-10   \n",
      "...      ...   ...    ...        ...                       ...         ...   \n",
      "1097    1116  2023     19         69  United States Grand Prix  2023-10-22   \n",
      "1098    1117  2023     20         32    Mexico City Grand Prix  2023-10-29   \n",
      "1099    1118  2023     21         18      São Paulo Grand Prix  2023-11-05   \n",
      "1100    1119  2023     22         80      Las Vegas Grand Prix  2023-11-19   \n",
      "1101    1120  2023     23         24      Abu Dhabi Grand Prix  2023-11-26   \n",
      "\n",
      "          time                                                url    fp1_date  \\\n",
      "0     06:00:00  http://en.wikipedia.org/wiki/2009_Australian_G...          \\N   \n",
      "1     09:00:00  http://en.wikipedia.org/wiki/2009_Malaysian_Gr...          \\N   \n",
      "2     07:00:00  http://en.wikipedia.org/wiki/2009_Chinese_Gran...          \\N   \n",
      "3     12:00:00  http://en.wikipedia.org/wiki/2009_Bahrain_Gran...          \\N   \n",
      "4     12:00:00  http://en.wikipedia.org/wiki/2009_Spanish_Gran...          \\N   \n",
      "...        ...                                                ...         ...   \n",
      "1097  19:00:00  https://en.wikipedia.org/wiki/2023_United_Stat...  2023-10-20   \n",
      "1098  20:00:00  https://en.wikipedia.org/wiki/2023_Mexico_City...  2023-10-27   \n",
      "1099  17:00:00  https://en.wikipedia.org/wiki/2023_S%C3%A3o_Pa...  2023-11-03   \n",
      "1100  06:00:00  https://en.wikipedia.org/wiki/2023_Las_Vegas_G...  2023-11-17   \n",
      "1101  13:00:00  https://en.wikipedia.org/wiki/2023_Abu_Dhabi_G...  2023-11-24   \n",
      "\n",
      "      fp1_time    fp2_date  fp2_time    fp3_date  fp3_time  quali_date  \\\n",
      "0           \\N          \\N        \\N          \\N        \\N          \\N   \n",
      "1           \\N          \\N        \\N          \\N        \\N          \\N   \n",
      "2           \\N          \\N        \\N          \\N        \\N          \\N   \n",
      "3           \\N          \\N        \\N          \\N        \\N          \\N   \n",
      "4           \\N          \\N        \\N          \\N        \\N          \\N   \n",
      "...        ...         ...       ...         ...       ...         ...   \n",
      "1097  17:30:00  2023-10-21  18:00:00          \\N        \\N  2023-10-20   \n",
      "1098  18:30:00  2023-10-27  22:00:00  2023-10-28  17:30:00  2023-10-28   \n",
      "1099  14:30:00  2023-11-04  14:30:00          \\N        \\N  2023-11-03   \n",
      "1100  04:30:00  2023-11-17  08:00:00  2023-11-18  04:30:00  2023-11-18   \n",
      "1101  09:30:00  2023-11-24  13:00:00  2023-11-25  10:30:00  2023-11-25   \n",
      "\n",
      "     quali_time sprint_date sprint_time  \n",
      "0            \\N          \\N          \\N  \n",
      "1            \\N          \\N          \\N  \n",
      "2            \\N          \\N          \\N  \n",
      "3            \\N          \\N          \\N  \n",
      "4            \\N          \\N          \\N  \n",
      "...         ...         ...         ...  \n",
      "1097   21:00:00  2023-10-21    22:00:00  \n",
      "1098   21:00:00          \\N          \\N  \n",
      "1099   18:00:00  2023-11-04    18:30:00  \n",
      "1100   08:00:00          \\N          \\N  \n",
      "1101   14:00:00          \\N          \\N  \n",
      "\n",
      "[456 rows x 18 columns]\n",
      "      raceId  year  round  circuitId                      name        date  \\\n",
      "0          1  2009      1          1     Australian Grand Prix  2009-03-29   \n",
      "1          2  2009      2          2      Malaysian Grand Prix  2009-04-05   \n",
      "2          3  2009      3         17        Chinese Grand Prix  2009-04-19   \n",
      "3          4  2009      4          3        Bahrain Grand Prix  2009-04-26   \n",
      "4          5  2009      5          4        Spanish Grand Prix  2009-05-10   \n",
      "...      ...   ...    ...        ...                       ...         ...   \n",
      "1097    1116  2023     19         69  United States Grand Prix  2023-10-22   \n",
      "1098    1117  2023     20         32    Mexico City Grand Prix  2023-10-29   \n",
      "1099    1118  2023     21         18      São Paulo Grand Prix  2023-11-05   \n",
      "1100    1119  2023     22         80      Las Vegas Grand Prix  2023-11-19   \n",
      "1101    1120  2023     23         24      Abu Dhabi Grand Prix  2023-11-26   \n",
      "\n",
      "          time                                                url    fp1_date  \\\n",
      "0     06:00:00  http://en.wikipedia.org/wiki/2009_Australian_G...          \\N   \n",
      "1     09:00:00  http://en.wikipedia.org/wiki/2009_Malaysian_Gr...          \\N   \n",
      "2     07:00:00  http://en.wikipedia.org/wiki/2009_Chinese_Gran...          \\N   \n",
      "3     12:00:00  http://en.wikipedia.org/wiki/2009_Bahrain_Gran...          \\N   \n",
      "4     12:00:00  http://en.wikipedia.org/wiki/2009_Spanish_Gran...          \\N   \n",
      "...        ...                                                ...         ...   \n",
      "1097  19:00:00  https://en.wikipedia.org/wiki/2023_United_Stat...  2023-10-20   \n",
      "1098  20:00:00  https://en.wikipedia.org/wiki/2023_Mexico_City...  2023-10-27   \n",
      "1099  17:00:00  https://en.wikipedia.org/wiki/2023_S%C3%A3o_Pa...  2023-11-03   \n",
      "1100  06:00:00  https://en.wikipedia.org/wiki/2023_Las_Vegas_G...  2023-11-17   \n",
      "1101  13:00:00  https://en.wikipedia.org/wiki/2023_Abu_Dhabi_G...  2023-11-24   \n",
      "\n",
      "      fp1_time    fp2_date  fp2_time    fp3_date  fp3_time  quali_date  \\\n",
      "0           \\N          \\N        \\N          \\N        \\N          \\N   \n",
      "1           \\N          \\N        \\N          \\N        \\N          \\N   \n",
      "2           \\N          \\N        \\N          \\N        \\N          \\N   \n",
      "3           \\N          \\N        \\N          \\N        \\N          \\N   \n",
      "4           \\N          \\N        \\N          \\N        \\N          \\N   \n",
      "...        ...         ...       ...         ...       ...         ...   \n",
      "1097  17:30:00  2023-10-21  18:00:00          \\N        \\N  2023-10-20   \n",
      "1098  18:30:00  2023-10-27  22:00:00  2023-10-28  17:30:00  2023-10-28   \n",
      "1099  14:30:00  2023-11-04  14:30:00          \\N        \\N  2023-11-03   \n",
      "1100  04:30:00  2023-11-17  08:00:00  2023-11-18  04:30:00  2023-11-18   \n",
      "1101  09:30:00  2023-11-24  13:00:00  2023-11-25  10:30:00  2023-11-25   \n",
      "\n",
      "     quali_time sprint_date sprint_time  \n",
      "0            \\N          \\N          \\N  \n",
      "1            \\N          \\N          \\N  \n",
      "2            \\N          \\N          \\N  \n",
      "3            \\N          \\N          \\N  \n",
      "4            \\N          \\N          \\N  \n",
      "...         ...         ...         ...  \n",
      "1097   21:00:00  2023-10-21    22:00:00  \n",
      "1098   21:00:00          \\N          \\N  \n",
      "1099   18:00:00  2023-11-04    18:30:00  \n",
      "1100   08:00:00          \\N          \\N  \n",
      "1101   14:00:00          \\N          \\N  \n",
      "\n",
      "[456 rows x 18 columns]\n"
     ]
    },
    {
     "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",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>points</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>constructorId</th>\n",
       "      <th>constructorRef</th>\n",
       "      <th>year</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">1</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">mclaren</th>\n",
       "      <th>2000</th>\n",
       "      <td>162.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001</th>\n",
       "      <td>102.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002</th>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003</th>\n",
       "      <td>142.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004</th>\n",
       "      <td>69.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">213</th>\n",
       "      <th rowspan=\"3\" valign=\"top\">alphatauri</th>\n",
       "      <th>2020</th>\n",
       "      <td>107.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021</th>\n",
       "      <td>142.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022</th>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">214</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">alpine</th>\n",
       "      <th>2021</th>\n",
       "      <td>155.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022</th>\n",
       "      <td>173.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>248 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   points\n",
       "constructorId constructorRef year        \n",
       "1             mclaren        2000   162.0\n",
       "                             2001   102.0\n",
       "                             2002    65.0\n",
       "                             2003   142.0\n",
       "                             2004    69.0\n",
       "...                                   ...\n",
       "213           alphatauri     2020   107.0\n",
       "                             2021   142.0\n",
       "                             2022    35.0\n",
       "214           alpine         2021   155.0\n",
       "                             2022   173.0\n",
       "\n",
       "[248 rows x 1 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# subset races to get \n",
    "\n",
    "print(races.query(\"year > 1999\"))\n",
    "races.query(\"year > 1999\", inplace=True)\n",
    "print(races)\n",
    "# join constructor_results and year, raceId columns from races dataset (we just need year data; joining on raceId)\n",
    "data = pd.merge(constructor_results, races[[\"year\",\"raceId\"]])\n",
    "data = pd.merge(data, constructors[[\"constructorId\", \"constructorRef\", \"name\"]])\n",
    "data.sort_values(by = \"year\")\n",
    "\n",
    "\n",
    "\n",
    "df1 = data.groupby([\"constructorId\", \"constructorRef\", \"year\"]).agg({\"points\": \"sum\"})\n",
    "\n",
    "df1\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'constructorId' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m/var/folders/r8/63v548553yv_nclrzh6pwbl80000gn/T/ipykernel_58138/3835075554.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mdf3\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munique\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0mdf3\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconstructorId\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'constructorId' is not defined"
     ]
    }
   ],
   "source": [
    "df3 = df1.pivot_table(index=\"year\", columns=[\"constructorId\", \"constructorRef\"], values=\"points\")\n",
    "df3\n",
    "\n",
    "\n",
    "df3.columns.unique\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='year'>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(data = df3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>year</th>\n",
       "      <th>2000</th>\n",
       "      <th>2001</th>\n",
       "      <th>2002</th>\n",
       "      <th>2003</th>\n",
       "      <th>2004</th>\n",
       "      <th>2005</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>...</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "      <th>2020</th>\n",
       "      <th>2021</th>\n",
       "      <th>2022</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>constructorId</th>\n",
       "      <th>constructorRef</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <th>mclaren</th>\n",
       "      <td>162.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>182.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>218.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>...</td>\n",
       "      <td>122.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>275.0</td>\n",
       "      <td>159.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <th>bmw_sauber</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <th>williams</th>\n",
       "      <td>36.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>34.5</td>\n",
       "      <td>...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>320.0</td>\n",
       "      <td>257.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <th>renault</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>191.0</td>\n",
       "      <td>206.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <th>toro_rosso</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>...</td>\n",
       "      <td>33.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <th>ferrari</th>\n",
       "      <td>170.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>221.0</td>\n",
       "      <td>158.0</td>\n",
       "      <td>262.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>201.0</td>\n",
       "      <td>204.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>...</td>\n",
       "      <td>354.0</td>\n",
       "      <td>216.0</td>\n",
       "      <td>428.0</td>\n",
       "      <td>398.0</td>\n",
       "      <td>522.0</td>\n",
       "      <td>571.0</td>\n",
       "      <td>504.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>323.5</td>\n",
       "      <td>554.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <th>toyota</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>59.5</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <th>super_aguri</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <th>red_bull</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>153.5</td>\n",
       "      <td>...</td>\n",
       "      <td>596.0</td>\n",
       "      <td>405.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>468.0</td>\n",
       "      <td>368.0</td>\n",
       "      <td>419.0</td>\n",
       "      <td>417.0</td>\n",
       "      <td>319.0</td>\n",
       "      <td>585.5</td>\n",
       "      <td>759.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <th>force_india</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>...</td>\n",
       "      <td>77.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>173.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <th>honda</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>86.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <th>spyker</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <th>mf1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <th>spyker_mf1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <th>sauber</th>\n",
       "      <td>6.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>57.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <th>bar</th>\n",
       "      <td>20.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <th>jordan</th>\n",
       "      <td>17.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <th>minardi</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <th>jaguar</th>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <th>prost</th>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <th>arrows</th>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <th>benetton</th>\n",
       "      <td>20.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <th>brawn</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>172.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <th>alfa</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>57.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>55.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <th>aston_martin</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>77.0</td>\n",
       "      <td>55.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <th>mercedes</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>360.0</td>\n",
       "      <td>701.0</td>\n",
       "      <td>703.0</td>\n",
       "      <td>765.0</td>\n",
       "      <td>668.0</td>\n",
       "      <td>655.0</td>\n",
       "      <td>739.0</td>\n",
       "      <td>573.0</td>\n",
       "      <td>613.5</td>\n",
       "      <td>515.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <th>hrt</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <th>virgin</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <th>lotus_racing</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <th>marussia</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <th>caterham</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <th>lotus_f1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>315.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <th>manor</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <th>haas</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>37.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <th>racing_point</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>73.0</td>\n",
       "      <td>210.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <th>alphatauri</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>107.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <th>alpine</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>155.0</td>\n",
       "      <td>173.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>37 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "year                           2000   2001   2002   2003   2004   2005   2006  \\\n",
       "constructorId constructorRef                                                    \n",
       "1             mclaren         162.0  102.0   65.0  142.0   69.0  182.0  110.0   \n",
       "2             bmw_sauber        NaN    NaN    0.0    NaN    NaN    NaN   36.0   \n",
       "3             williams         36.0   80.0   92.0  144.0   88.0   66.0   11.0   \n",
       "4             renault           NaN    NaN   23.0   88.0  105.0  191.0  206.0   \n",
       "5             toro_rosso        NaN    NaN    NaN    NaN    NaN    NaN    1.0   \n",
       "6             ferrari         170.0  179.0  221.0  158.0  262.0  100.0  201.0   \n",
       "7             toyota            NaN    NaN    2.0   16.0    9.0   88.0   35.0   \n",
       "8             super_aguri       NaN    NaN    NaN    NaN    NaN    NaN    0.0   \n",
       "9             red_bull          NaN    NaN    NaN    NaN    NaN   34.0   16.0   \n",
       "10            force_india       NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "11            honda             NaN    NaN    NaN    NaN    NaN    NaN   86.0   \n",
       "12            spyker            NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "13            mf1               NaN    NaN    NaN    NaN    NaN    NaN    0.0   \n",
       "14            spyker_mf1        NaN    NaN    NaN    NaN    NaN    NaN    0.0   \n",
       "15            sauber            6.0   21.0   11.0   19.0   34.0   20.0    NaN   \n",
       "16            bar              20.0   17.0    7.0   26.0  119.0   38.0    NaN   \n",
       "17            jordan           17.0   19.0    9.0   13.0    5.0   12.0    NaN   \n",
       "18            minardi           0.0    0.0    2.0    0.0    1.0    7.0    NaN   \n",
       "19            jaguar            4.0    9.0    8.0   18.0   10.0    NaN    NaN   \n",
       "20            prost             0.0    4.0    NaN    NaN    NaN    NaN    NaN   \n",
       "21            arrows            7.0    1.0    2.0    NaN    NaN    NaN    NaN   \n",
       "22            benetton         20.0   10.0    NaN    NaN    NaN    NaN    NaN   \n",
       "23            brawn             NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "51            alfa              NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "117           aston_martin      NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "131           mercedes          NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "164           hrt               NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "166           virgin            NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "205           lotus_racing      NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "206           marussia          NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "207           caterham          NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "208           lotus_f1          NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "209           manor             NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "210           haas              NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "211           racing_point      NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "213           alphatauri        NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "214           alpine            NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "\n",
       "year                           2007   2008   2009  ...   2013   2014   2015  \\\n",
       "constructorId constructorRef                       ...                        \n",
       "1             mclaren         218.0  151.0   71.0  ...  122.0  181.0   27.0   \n",
       "2             bmw_sauber      101.0  135.0   36.0  ...    NaN    NaN    NaN   \n",
       "3             williams         33.0   26.0   34.5  ...    5.0  320.0  257.0   \n",
       "4             renault          51.0   80.0   26.0  ...    NaN    NaN    NaN   \n",
       "5             toro_rosso        8.0   39.0    8.0  ...   33.0   30.0   67.0   \n",
       "6             ferrari         204.0  172.0   70.0  ...  354.0  216.0  428.0   \n",
       "7             toyota           13.0   56.0   59.5  ...    NaN    NaN    NaN   \n",
       "8             super_aguri       4.0    0.0    NaN  ...    NaN    NaN    NaN   \n",
       "9             red_bull         24.0   29.0  153.5  ...  596.0  405.0  187.0   \n",
       "10            force_india       NaN    0.0   13.0  ...   77.0  155.0  136.0   \n",
       "11            honda             6.0   14.0    NaN  ...    NaN    NaN    NaN   \n",
       "12            spyker            1.0    NaN    NaN  ...    NaN    NaN    NaN   \n",
       "13            mf1               NaN    NaN    NaN  ...    NaN    NaN    NaN   \n",
       "14            spyker_mf1        NaN    NaN    NaN  ...    NaN    NaN    NaN   \n",
       "15            sauber            NaN    NaN    NaN  ...   57.0    0.0   36.0   \n",
       "16            bar               NaN    NaN    NaN  ...    NaN    NaN    NaN   \n",
       "17            jordan            NaN    NaN    NaN  ...    NaN    NaN    NaN   \n",
       "18            minardi           NaN    NaN    NaN  ...    NaN    NaN    NaN   \n",
       "19            jaguar            NaN    NaN    NaN  ...    NaN    NaN    NaN   \n",
       "20            prost             NaN    NaN    NaN  ...    NaN    NaN    NaN   \n",
       "21            arrows            NaN    NaN    NaN  ...    NaN    NaN    NaN   \n",
       "22            benetton          NaN    NaN    NaN  ...    NaN    NaN    NaN   \n",
       "23            brawn             NaN    NaN  172.0  ...    NaN    NaN    NaN   \n",
       "51            alfa              NaN    NaN    NaN  ...    NaN    NaN    NaN   \n",
       "117           aston_martin      NaN    NaN    NaN  ...    NaN    NaN    NaN   \n",
       "131           mercedes          NaN    NaN    NaN  ...  360.0  701.0  703.0   \n",
       "164           hrt               NaN    NaN    NaN  ...    NaN    NaN    NaN   \n",
       "166           virgin            NaN    NaN    NaN  ...    NaN    NaN    NaN   \n",
       "205           lotus_racing      NaN    NaN    NaN  ...    NaN    NaN    NaN   \n",
       "206           marussia          NaN    NaN    NaN  ...    0.0    2.0    0.0   \n",
       "207           caterham          NaN    NaN    NaN  ...    0.0    0.0    NaN   \n",
       "208           lotus_f1          NaN    NaN    NaN  ...  315.0   10.0   78.0   \n",
       "209           manor             NaN    NaN    NaN  ...    NaN    NaN    0.0   \n",
       "210           haas              NaN    NaN    NaN  ...    NaN    NaN    NaN   \n",
       "211           racing_point      NaN    NaN    NaN  ...    NaN    NaN    NaN   \n",
       "213           alphatauri        NaN    NaN    NaN  ...    NaN    NaN    NaN   \n",
       "214           alpine            NaN    NaN    NaN  ...    NaN    NaN    NaN   \n",
       "\n",
       "year                           2016   2017   2018   2019   2020   2021   2022  \n",
       "constructorId constructorRef                                                   \n",
       "1             mclaren          76.0   30.0   62.0  145.0  202.0  275.0  159.0  \n",
       "2             bmw_sauber        NaN    NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "3             williams        138.0   83.0    7.0    1.0    0.0   23.0    8.0  \n",
       "4             renault           8.0   57.0  122.0   91.0  181.0    NaN    NaN  \n",
       "5             toro_rosso       63.0   53.0   33.0   85.0    NaN    NaN    NaN  \n",
       "6             ferrari         398.0  522.0  571.0  504.0  131.0  323.5  554.0  \n",
       "7             toyota            NaN    NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "8             super_aguri       NaN    NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "9             red_bull        468.0  368.0  419.0  417.0  319.0  585.5  759.0  \n",
       "10            force_india     173.0  187.0  111.0    NaN    NaN    NaN    NaN  \n",
       "11            honda             NaN    NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "12            spyker            NaN    NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "13            mf1               NaN    NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "14            spyker_mf1        NaN    NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "15            sauber            2.0    5.0   48.0    NaN    NaN    NaN    NaN  \n",
       "16            bar               NaN    NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "17            jordan            NaN    NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "18            minardi           NaN    NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "19            jaguar            NaN    NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "20            prost             NaN    NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "21            arrows            NaN    NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "22            benetton          NaN    NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "23            brawn             NaN    NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "51            alfa              NaN    NaN    NaN   57.0    8.0   13.0   55.0  \n",
       "117           aston_martin      NaN    NaN    NaN    NaN    NaN   77.0   55.0  \n",
       "131           mercedes        765.0  668.0  655.0  739.0  573.0  613.5  515.0  \n",
       "164           hrt               NaN    NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "166           virgin            NaN    NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "205           lotus_racing      NaN    NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "206           marussia          NaN    NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "207           caterham          NaN    NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "208           lotus_f1          NaN    NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "209           manor             1.0    NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "210           haas             29.0   47.0   93.0   28.0    3.0    0.0   37.0  \n",
       "211           racing_point      NaN    NaN    NaN   73.0  210.0    NaN    NaN  \n",
       "213           alphatauri        NaN    NaN    NaN    NaN  107.0  142.0   35.0  \n",
       "214           alpine            NaN    NaN    NaN    NaN    NaN  155.0  173.0  \n",
       "\n",
       "[37 rows x 23 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# another method of unpivoting df1\n",
    "df2 = df1.pivot_table(index=[\"constructorId\", \"constructorRef\"], columns=\"year\", values=\"points\")\n",
    "df2\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in range(len(df2)):\n",
    "    plt.plot(df2.columns, df2.iloc[i, :])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{1: 'mclaren',\n",
       " 2: 'bmw_sauber',\n",
       " 3: 'williams',\n",
       " 4: 'renault',\n",
       " 5: 'toro_rosso',\n",
       " 6: 'ferrari',\n",
       " 7: 'toyota',\n",
       " 8: 'super_aguri',\n",
       " 9: 'red_bull',\n",
       " 10: 'force_india',\n",
       " 11: 'honda',\n",
       " 12: 'spyker',\n",
       " 13: 'mf1',\n",
       " 14: 'spyker_mf1',\n",
       " 15: 'sauber',\n",
       " 16: 'bar',\n",
       " 17: 'jordan',\n",
       " 18: 'minardi',\n",
       " 19: 'jaguar',\n",
       " 20: 'prost',\n",
       " 21: 'arrows',\n",
       " 22: 'benetton',\n",
       " 23: 'brawn',\n",
       " 24: 'stewart',\n",
       " 25: 'tyrrell',\n",
       " 26: 'lola',\n",
       " 27: 'ligier',\n",
       " 28: 'forti',\n",
       " 29: 'footwork',\n",
       " 30: 'pacific',\n",
       " 31: 'simtek',\n",
       " 32: 'team_lotus',\n",
       " 33: 'larrousse',\n",
       " 34: 'brabham',\n",
       " 35: 'dallara',\n",
       " 36: 'fondmetal',\n",
       " 37: 'march',\n",
       " 38: 'moda',\n",
       " 39: 'ags',\n",
       " 40: 'lambo',\n",
       " 41: 'leyton',\n",
       " 42: 'coloni',\n",
       " 44: 'eurobrun',\n",
       " 45: 'osella',\n",
       " 46: 'onyx',\n",
       " 47: 'life',\n",
       " 48: 'rial',\n",
       " 49: 'zakspeed',\n",
       " 50: 'ram',\n",
       " 51: 'alfa',\n",
       " 52: 'spirit',\n",
       " 53: 'toleman',\n",
       " 54: 'ats',\n",
       " 55: 'theodore',\n",
       " 56: 'fittipaldi',\n",
       " 57: 'ensign',\n",
       " 58: 'shadow',\n",
       " 59: 'wolf',\n",
       " 60: 'merzario',\n",
       " 61: 'kauhsen',\n",
       " 62: 'rebaque',\n",
       " 63: 'surtees',\n",
       " 64: 'hesketh',\n",
       " 65: 'martini',\n",
       " 66: 'brm',\n",
       " 67: 'penske',\n",
       " 68: 'lec',\n",
       " 69: 'mcguire',\n",
       " 70: 'boro',\n",
       " 71: 'apollon',\n",
       " 72: 'kojima',\n",
       " 73: 'parnelli',\n",
       " 74: 'maki',\n",
       " 75: 'hill',\n",
       " 76: 'lyncar',\n",
       " 77: 'trojan',\n",
       " 78: 'amon',\n",
       " 79: 'token',\n",
       " 80: 'iso_marlboro',\n",
       " 81: 'tecno',\n",
       " 82: 'matra',\n",
       " 83: 'politoys',\n",
       " 84: 'connew',\n",
       " 85: 'bellasi',\n",
       " 86: 'tomaso',\n",
       " 87: 'cooper',\n",
       " 88: 'eagle',\n",
       " 89: 'lds',\n",
       " 90: 'protos',\n",
       " 91: 'shannon',\n",
       " 92: 'scirocco',\n",
       " 93: 're',\n",
       " 94: 'brp',\n",
       " 95: 'porsche',\n",
       " 96: 'derrington',\n",
       " 97: 'gilby',\n",
       " 98: 'stebro',\n",
       " 99: 'emeryson',\n",
       " 100: 'enb',\n",
       " 101: 'jbw',\n",
       " 102: 'ferguson',\n",
       " 103: 'mbm',\n",
       " 104: 'behra-porsche',\n",
       " 105: 'maserati',\n",
       " 106: 'scarab',\n",
       " 107: 'watson',\n",
       " 108: 'epperly',\n",
       " 109: 'phillips',\n",
       " 110: 'lesovsky',\n",
       " 111: 'trevis',\n",
       " 112: 'meskowski',\n",
       " 113: 'kurtis_kraft',\n",
       " 114: 'kuzma',\n",
       " 115: 'vhristensen',\n",
       " 116: 'ewing',\n",
       " 117: 'aston_martin',\n",
       " 118: 'vanwall',\n",
       " 119: 'moore',\n",
       " 120: 'dunn',\n",
       " 121: 'elder',\n",
       " 122: 'sutton',\n",
       " 123: 'fry',\n",
       " 124: 'tec-mec',\n",
       " 125: 'connaught',\n",
       " 126: 'alta',\n",
       " 127: 'osca',\n",
       " 128: 'gordini',\n",
       " 129: 'stevens',\n",
       " 130: 'bugatti',\n",
       " 131: 'mercedes',\n",
       " 132: 'lancia',\n",
       " 133: 'hwm',\n",
       " 134: 'schroeder',\n",
       " 135: 'pawl',\n",
       " 136: 'pankratz',\n",
       " 137: 'arzani-volpini',\n",
       " 138: 'nichels',\n",
       " 139: 'bromme',\n",
       " 140: 'klenk',\n",
       " 141: 'simca',\n",
       " 142: 'turner',\n",
       " 143: 'del_roy',\n",
       " 144: 'veritas',\n",
       " 145: 'bmw',\n",
       " 146: 'emw',\n",
       " 147: 'afm',\n",
       " 148: 'frazer_nash',\n",
       " 149: 'sherman',\n",
       " 150: 'deidt',\n",
       " 151: 'era',\n",
       " 152: 'butterworth',\n",
       " 153: 'cisitalia',\n",
       " 154: 'lago',\n",
       " 155: 'hall',\n",
       " 156: 'marchese',\n",
       " 157: 'langley',\n",
       " 158: 'rae',\n",
       " 159: 'olson',\n",
       " 160: 'wetteroth',\n",
       " 161: 'adams',\n",
       " 162: 'snowberger',\n",
       " 163: 'milano',\n",
       " 164: 'hrt',\n",
       " 167: 'cooper-maserati',\n",
       " 166: 'virgin',\n",
       " 168: 'cooper-osca',\n",
       " 169: 'cooper-borgward',\n",
       " 170: 'cooper-climax',\n",
       " 171: 'cooper-castellotti',\n",
       " 172: 'lotus-climax',\n",
       " 173: 'lotus-maserati',\n",
       " 174: 'de_tomaso-osca',\n",
       " 175: 'de_tomaso-alfa_romeo',\n",
       " 176: 'lotus-brm',\n",
       " 177: 'lotus-borgward',\n",
       " 178: 'cooper-alfa_romeo',\n",
       " 179: 'de_tomaso-ferrari',\n",
       " 180: 'lotus-ford',\n",
       " 181: 'brabham-brm',\n",
       " 182: 'brabham-ford',\n",
       " 183: 'brabham-climax',\n",
       " 184: 'lds-climax',\n",
       " 185: 'lds-alfa_romeo',\n",
       " 186: 'cooper-ford',\n",
       " 187: 'mclaren-ford',\n",
       " 188: 'mclaren-seren',\n",
       " 189: 'eagle-climax',\n",
       " 190: 'eagle-weslake',\n",
       " 191: 'brabham-repco',\n",
       " 192: 'cooper-ferrari',\n",
       " 193: 'cooper-ats',\n",
       " 194: 'mclaren-brm',\n",
       " 195: 'cooper-brm',\n",
       " 196: 'matra-ford',\n",
       " 197: 'brm-ford',\n",
       " 198: 'mclaren-alfa_romeo',\n",
       " 199: 'march-alfa_romeo',\n",
       " 200: 'march-ford',\n",
       " 201: 'lotus-pw',\n",
       " 202: 'shadow-ford',\n",
       " 203: 'shadow-matra',\n",
       " 204: 'brabham-alfa_romeo',\n",
       " 205: 'lotus_racing',\n",
       " 206: 'marussia',\n",
       " 207: 'caterham',\n",
       " 208: 'lotus_f1',\n",
       " 209: 'manor',\n",
       " 210: 'haas',\n",
       " 211: 'racing_point',\n",
       " 213: 'alphatauri',\n",
       " 214: 'alpine'}"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create dictionary of constructorId and constructor team name\n",
    "\n",
    "constructors[[\"constructorId\", \"constructorRef\"]]\n",
    "construtors_dict = dict(zip(constructors.constructorId, constructors.constructorRef))\n",
    "construtors_dict\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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