Analysis-Of-Two-Teams.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "pd.set_option('display.max_columns', None)\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "matches_dataset=pd.read_csv(\"Ipl Data/matches.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Sunrisers Hyderabad', 'Mumbai Indians', 'Gujarat Lions',\n",
       "       'Rising Pune Supergiant', 'Royal Challengers Bangalore',\n",
       "       'Kolkata Knight Riders', 'Delhi Daredevils', 'Kings XI Punjab',\n",
       "       'Chennai Super Kings', 'Rajasthan Royals', 'Deccan Chargers',\n",
       "       'Kochi Tuskers Kerala', 'Pune Warriors', 'Rising Pune Supergiants',\n",
       "       'Delhi Capitals'], dtype=object)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matches_dataset[\"team1\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>id</th>\n",
       "      <th>season</th>\n",
       "      <th>city</th>\n",
       "      <th>date</th>\n",
       "      <th>team1</th>\n",
       "      <th>team2</th>\n",
       "      <th>toss_winner</th>\n",
       "      <th>toss_decision</th>\n",
       "      <th>result</th>\n",
       "      <th>dl_applied</th>\n",
       "      <th>winner</th>\n",
       "      <th>win_by_runs</th>\n",
       "      <th>win_by_wickets</th>\n",
       "      <th>player_of_match</th>\n",
       "      <th>venue</th>\n",
       "      <th>umpire1</th>\n",
       "      <th>umpire2</th>\n",
       "      <th>umpire3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2017</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>05-04-2017</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>Yuvraj Singh</td>\n",
       "      <td>Rajiv Gandhi International Stadium, Uppal</td>\n",
       "      <td>AY Dandekar</td>\n",
       "      <td>NJ Llong</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2017</td>\n",
       "      <td>Pune</td>\n",
       "      <td>06-04-2017</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Rising Pune Supergiant</td>\n",
       "      <td>Rising Pune Supergiant</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Rising Pune Supergiant</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>SPD Smith</td>\n",
       "      <td>Maharashtra Cricket Association Stadium</td>\n",
       "      <td>A Nand Kishore</td>\n",
       "      <td>S Ravi</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2017</td>\n",
       "      <td>Rajkot</td>\n",
       "      <td>07-04-2017</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>CA Lynn</td>\n",
       "      <td>Saurashtra Cricket Association Stadium</td>\n",
       "      <td>Nitin Menon</td>\n",
       "      <td>CK Nandan</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>2017</td>\n",
       "      <td>Indore</td>\n",
       "      <td>08-04-2017</td>\n",
       "      <td>Rising Pune Supergiant</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>GJ Maxwell</td>\n",
       "      <td>Holkar Cricket Stadium</td>\n",
       "      <td>AK Chaudhary</td>\n",
       "      <td>C Shamshuddin</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2017</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>08-04-2017</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>KM Jadhav</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>811</th>\n",
       "      <td>1216495</td>\n",
       "      <td>2020</td>\n",
       "      <td>Sharjah</td>\n",
       "      <td>03-11-2020</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>S Nadeem</td>\n",
       "      <td>Sharjah Cricket Stadium</td>\n",
       "      <td>Chettithody Shamshuddin</td>\n",
       "      <td>Richard Illingworth</td>\n",
       "      <td>KN Ananthapadmanabhan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>812</th>\n",
       "      <td>1237177</td>\n",
       "      <td>2020</td>\n",
       "      <td>Dubai (DSC)</td>\n",
       "      <td>05-11-2020</td>\n",
       "      <td>Delhi Capitals</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Delhi Capitals</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>57</td>\n",
       "      <td>0</td>\n",
       "      <td>JJ Bumrah</td>\n",
       "      <td>Dubai International Cricket Stadium</td>\n",
       "      <td>Chris Gaffaney</td>\n",
       "      <td>Nitin Menon</td>\n",
       "      <td>KN Ananthapadmanabhan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>813</th>\n",
       "      <td>1237178</td>\n",
       "      <td>2020</td>\n",
       "      <td>Abu Dhabi</td>\n",
       "      <td>06-11-2020</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>KS Williamson</td>\n",
       "      <td>Sheikh Zayed Stadium, Abu Dhabi</td>\n",
       "      <td>Paul Reiffel</td>\n",
       "      <td>Sundaram Ravi</td>\n",
       "      <td>Virender Sharma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>814</th>\n",
       "      <td>1237180</td>\n",
       "      <td>2020</td>\n",
       "      <td>Abu Dhabi</td>\n",
       "      <td>08-11-2020</td>\n",
       "      <td>Delhi Capitals</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Delhi Capitals</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Delhi Capitals</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>MP Stoinis</td>\n",
       "      <td>Sheikh Zayed Stadium, Abu Dhabi</td>\n",
       "      <td>Paul Reiffel</td>\n",
       "      <td>Sundaram Ravi</td>\n",
       "      <td>Chettithody Shamshuddin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>815</th>\n",
       "      <td>1237181</td>\n",
       "      <td>2020</td>\n",
       "      <td>Dubai (DSC)</td>\n",
       "      <td>10-11-2020</td>\n",
       "      <td>Delhi Capitals</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Delhi Capitals</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>TA Boult</td>\n",
       "      <td>Dubai International Cricket Stadium</td>\n",
       "      <td>Chris Gaffaney</td>\n",
       "      <td>Nitin Menon</td>\n",
       "      <td>Anil Chaudhary</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>816 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          id  season         city        date                        team1  \\\n",
       "0          1    2017    Hyderabad  05-04-2017          Sunrisers Hyderabad   \n",
       "1          2    2017         Pune  06-04-2017               Mumbai Indians   \n",
       "2          3    2017       Rajkot  07-04-2017                Gujarat Lions   \n",
       "3          4    2017       Indore  08-04-2017       Rising Pune Supergiant   \n",
       "4          5    2017    Bangalore  08-04-2017  Royal Challengers Bangalore   \n",
       "..       ...     ...          ...         ...                          ...   \n",
       "811  1216495    2020      Sharjah  03-11-2020          Sunrisers Hyderabad   \n",
       "812  1237177    2020  Dubai (DSC)  05-11-2020               Delhi Capitals   \n",
       "813  1237178    2020    Abu Dhabi  06-11-2020  Royal Challengers Bangalore   \n",
       "814  1237180    2020    Abu Dhabi  08-11-2020               Delhi Capitals   \n",
       "815  1237181    2020  Dubai (DSC)  10-11-2020               Delhi Capitals   \n",
       "\n",
       "                           team2                  toss_winner toss_decision  \\\n",
       "0    Royal Challengers Bangalore  Royal Challengers Bangalore         field   \n",
       "1         Rising Pune Supergiant       Rising Pune Supergiant         field   \n",
       "2          Kolkata Knight Riders        Kolkata Knight Riders         field   \n",
       "3                Kings XI Punjab              Kings XI Punjab         field   \n",
       "4               Delhi Daredevils  Royal Challengers Bangalore           bat   \n",
       "..                           ...                          ...           ...   \n",
       "811               Mumbai Indians          Sunrisers Hyderabad         field   \n",
       "812               Mumbai Indians               Delhi Capitals         field   \n",
       "813          Sunrisers Hyderabad          Sunrisers Hyderabad         field   \n",
       "814          Sunrisers Hyderabad               Delhi Capitals           bat   \n",
       "815               Mumbai Indians               Delhi Capitals           bat   \n",
       "\n",
       "     result  dl_applied                       winner  win_by_runs  \\\n",
       "0    normal           0          Sunrisers Hyderabad           35   \n",
       "1    normal           0       Rising Pune Supergiant            0   \n",
       "2    normal           0        Kolkata Knight Riders            0   \n",
       "3    normal           0              Kings XI Punjab            0   \n",
       "4    normal           0  Royal Challengers Bangalore           15   \n",
       "..      ...         ...                          ...          ...   \n",
       "811  normal           0          Sunrisers Hyderabad            0   \n",
       "812  normal           0               Mumbai Indians           57   \n",
       "813  normal           0          Sunrisers Hyderabad            0   \n",
       "814  normal           0               Delhi Capitals           17   \n",
       "815  normal           0               Mumbai Indians            0   \n",
       "\n",
       "     win_by_wickets player_of_match  \\\n",
       "0                 0    Yuvraj Singh   \n",
       "1                 7       SPD Smith   \n",
       "2                10         CA Lynn   \n",
       "3                 6      GJ Maxwell   \n",
       "4                 0       KM Jadhav   \n",
       "..              ...             ...   \n",
       "811              10        S Nadeem   \n",
       "812               0       JJ Bumrah   \n",
       "813               6   KS Williamson   \n",
       "814               0      MP Stoinis   \n",
       "815               5        TA Boult   \n",
       "\n",
       "                                         venue                  umpire1  \\\n",
       "0    Rajiv Gandhi International Stadium, Uppal              AY Dandekar   \n",
       "1      Maharashtra Cricket Association Stadium           A Nand Kishore   \n",
       "2       Saurashtra Cricket Association Stadium              Nitin Menon   \n",
       "3                       Holkar Cricket Stadium             AK Chaudhary   \n",
       "4                        M Chinnaswamy Stadium                      NaN   \n",
       "..                                         ...                      ...   \n",
       "811                    Sharjah Cricket Stadium  Chettithody Shamshuddin   \n",
       "812        Dubai International Cricket Stadium           Chris Gaffaney   \n",
       "813            Sheikh Zayed Stadium, Abu Dhabi             Paul Reiffel   \n",
       "814            Sheikh Zayed Stadium, Abu Dhabi             Paul Reiffel   \n",
       "815        Dubai International Cricket Stadium           Chris Gaffaney   \n",
       "\n",
       "                 umpire2                  umpire3  \n",
       "0               NJ Llong                      NaN  \n",
       "1                 S Ravi                      NaN  \n",
       "2              CK Nandan                      NaN  \n",
       "3          C Shamshuddin                      NaN  \n",
       "4                    NaN                      NaN  \n",
       "..                   ...                      ...  \n",
       "811  Richard Illingworth    KN Ananthapadmanabhan  \n",
       "812          Nitin Menon    KN Ananthapadmanabhan  \n",
       "813        Sundaram Ravi          Virender Sharma  \n",
       "814        Sundaram Ravi  Chettithody Shamshuddin  \n",
       "815          Nitin Menon           Anil Chaudhary  \n",
       "\n",
       "[816 rows x 18 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matches_dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "matches_dataset=matches_dataset.replace(to_replace =\"Rising Pune Supergiant\", value =\"Rising Pune Supergiants\") \n",
    "matches_dataset=matches_dataset.replace(to_replace =\"Delhi Daredevils\", value =\"Delhi Capitals\") \n",
    "matches_dataset=matches_dataset.replace(to_replace =\"Deccan Chargers\", value =\"Sunrisers Hyderabad\")\n",
    "\n",
    "#Analyse two teams based of winner based on one on one matches in each season\n",
    "def team1_vs_team2(team1,team2):\n",
    "    mt1=matches_dataset[((matches_dataset['team1']==team1)|(matches_dataset['team2']==team1))&((matches_dataset['team1']==team2)|(matches_dataset['team2']==team2))]\n",
    "    plt.style.use('ggplot')\n",
    "    fig=plt.gcf()\n",
    "    fig.set_size_inches(13,7.5)\n",
    "    plt.xticks(fontsize=15)\n",
    "    plt.yticks(fontsize=15)\n",
    "    plt.title(\"ONE ON ONE CLASH\",fontsize=20)\n",
    "    ax=sns.countplot(x = 'season', hue='winner',data=mt1, palette='Set3')\n",
    "    ax.legend(loc = 'center left', bbox_to_anchor=(1,0.7))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x540 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "team1_vs_team2('Chennai Super Kings','Mumbai Indians')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#                                      MI vs CSK head to head"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = matches_dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "micsk=data[np.logical_or(np.logical_and(data['team1']=='Mumbai Indians',data['team2']=='Chennai Super Kings'),np.logical_and(data['team2']=='Mumbai Indians',data['team1']=='Chennai Super Kings'))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\kavan\\anaconda3\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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UK1fAUwMAkBWRhUKlWb3H5e568wDr58tjlXIjPcsydrtdcyK360bqzftaN34iX2cEACA3iCwUKo//97O1Um6k6cCx87dd7lryDR06cfODTatU8smX2QAAuBtEFgoVt/8exbp+I/2O7068mpQiSSri5mJ6LAAA7hqRhULl2n8/vb24h5sjuG7Hu8TNL5HmE98BAIURkYVC5ccTFyRJzs5Oalyn8m2X8y5RVFUr+UqS47QhAACFCZGFQmXL7p+UdD1VktSjbV2VL1MiyzJuLs56ucfNdyBK0jdbDuXrjAAA5Aafk4VCJel6qj5dtl0v9whSMQ83jRvURuu2HlbcoXNKuZGmSmW91K55dZUrVVyStD7msA4cu1DAUwMAkBWRhUJn064TcnO1qndoA7m7uSi4RQ0Ft6iRZbn1MYc198vtBTAhAAB3li+RtW3bNgUEBOTHrvCAWB9zRHsPnVObpv6qXbWsfL085OTkpIRr13XweLzWxxzWj1yLBQAoxPIlsggs3DL+43W5Xjb+lyT9a8VOg9MAAGAOF74DAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYQGQBAAAYkC+RFRsbmx+7AQAAKDTyJbIaNGiQH7sBAAAoNDhdCAAAYACRBQAAYACRBQAAYACRBQAAYACRBQAAYACRBQAAYACRBQAAYACRBQAAYACRBQAAYIC1oAcAgAeRVwlXWV3dCnoM4KGUnnpDvySkFvQYRBYAmGB1ddOO8BcLegzgoVT/jX9KKvjI4nQhAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAUQWAACAAbmOrOeee05Xr17Ncvvly5cVFhaWp0MBAADc76w53blz506dPHlSkrR9+3YtX75cnp6emZY5cuSITpw4YWxAAACA+1GOkeXk5KS3335bdrtdkvTee+9lut9iscjDw0MDBw40NyEAAMB9KMfIqlOnjvbt2ydJatWqlZYsWSJvb+98GQwAAOB+lutrstavX/+7A2vbtm2/az0AAID7VY5Hsn4tPj5e06dP1+7du5Wamprl/jVr1tx23YCAgN83HQAAwH0q15E1atQo7dy5U6GhoSpevLjJmQAAuCtu3o+oRp/RSktK0L6Ph+e4rItnCZWq95RKPPYHuZUsJYuzi9KTrynx7FFd3LNB1376IZ+mxoMu15G1Y8cOTZ06VU2aNDE5DwAAd8XibNWjbfvKyepyx2VLVHlSj7V/Qc5uRTPd7lrcW97FveVdraEu7t2kn1Z/JtltpkbGQyLXkeXq6qoyZcqYnAUAgLtjcdLjoS/Js7zfHRct+sijejxkgJysLspIvaELO6N17cQPyki7oSKlKqhMwz+piE9Z+dYKki01RaeiF+TDA8CDLNcXvvfs2VPTp0/X9evXTc4DAECuOBfxVNWuQ1WyypO5Wr5iq25ysrrIlnZDhxaG6+z3kbp28qCSzx3XpbgNOvj5OCWeOSpJKlW3pdx9ypkcHw+BXB/J2rlzp2JiYtSwYUOVKlVKrq6ume7P6cJ3AADyUgm/2qr4f8/IrYSPJMlus8nidPvjBq4lfOVZoaok6cLO/yj555+yLGNLS9XJb/6lGn1Gy+LkJO/qATq7cZmR+fFwyHVk1alTR3Xq1DE4CgAAd/ZYSH95V2soSbLbbfp5y0p5VnhCxSr533Ydz/JVHP+ecHTPbZe7fuGU0pOvyVq0mIqUKp93Q+OhlOvIGjRokMk5AADIFY+yj0mSblyJ10+rP9O1kwf1RPdhOa6Tcvmczm3+Si7FvJTyy4Wcd2C5eUTM4pzr/0QC2cr1/4M++uijHO8fMGDAPQ8DAMCdpCVeUfyu/+jCjmjZM9JztU7yzz9le4rwt9x9y8laxEOSlHrt8j3NCeQ6sr744otMP2dkZOjSpUuyWq2qV68ekQUAyBc/zn9fkt3Ith8J+LPj368e5/OycG9yHVnr16/PcltiYqLeeust1a9fP0+HAgDg9swEVvHHa8mn5s3PgrxxJV5Xjuw2sh88PHL9EQ7Z8fT01ODBgzVnzpy8mgcAgHxXpFQFPRb8ouPnU+sXSbaMApwID4J7iixJSkpK0rVr1/JiFgAA8p27T1lV7fKqrO43r8W6sCNaCRzFQh64pwvfExMTtXLlSgUGBubpUAAA5IciZSqp6tOvysXj5nfy/nJop06tX1jAU+FB8bsvfJckFxcXBQYGaujQoXk6FAAAphWrXEN+HV+Ss1sRSdKVI7t1fPnHkt3MNV94+NzThe8AANyPvGsEqnLbvnL672dhXT64Xce/+ifXYSFP3dUnrSUmJmr58uU6fPiwrFarqlatqnbt2snT09PUfAAA5CnfJ5ur0p+eleW/Hzoav/tbnVw7X6betYiHV64j69SpU+rVq5cSEhLk5+cnm82mJUuWaNasWZo/f77Kl+frBwAAhZt3jUaZAuvc5hU6uzGqgKfCgyrX7y6cOHGiKlWqpPXr12vJkiWKjIxUdHS0Hn30UYWHh5ucEQCAe1a0TGVV/nNvR2Cd/s8XBBaMynVkbdmyRcOHD5eXl5fjNm9vbw0bNkxbtmwxMhwAAHnCyVmPtn9BTlYXSdK5LSt1fvvaAh4KD7pcny50d3eXk1PWJnNyclJ6eu6+OwoAgILgU6ORiviWk/TfT3M/vFNFSlfMcR1b6g3duHKHL5MGcpDryAoMDNSkSZM0depUFStWTJJ09epV/f3vf+dzsgAAhZpv7WaOf3crWUrVn3vnjutcO/mjDi2cZHIsPOByHVlvvPGGunfvrhYtWsjPz0+SdOTIEfn4+PC1OgCAQq1I6QoFPQIeQrmOrLJly2rlypWKiorSkSNHlJKSou7du6tDhw5ydXU1OSMAADm60xGn3VMH5dMkwP/c8cL3bdu2qUOHDjp06JA8PT31zDPPaPTo0bpy5Yr+8Y9/aP/+/fkxJwAAwH0lx8jat2+f+vXrp7Jly8rDwyPTfX379lX58uXVt29f/fjjj0aHBAAAuN/kGFkzZ85Uu3btNHv27CwfNhoQEKBPPvlEzZo1U0REhNEhAQAA7jc5RlZcXJx69+6d4waef/557d69Oy9nAgAAuO/lGFnJyclZThP+lq+vrxITE/N0KAAAgPtdjpH16KOPKi4uLscNxMXFqWzZsnk6FAAAwP0ux8gKDg7WtGnTdPHixWzvj4+P19SpU9WmTRsjwwEAANyvcvycrOeee06rV69W+/bt9fTTT+vJJ59UsWLFlJCQoD179mjp0qWqUKGC+vXrl1/zAgAA3BdyjCwXFxfNmzdPH3zwgRYvXqxPPvnEcZ+Pj4+6du2qgQMHqmjRosYHBQAAuJ/c8RPf3d3d9dZbb+n111/XqVOndPXqVXl5ealSpUqyWCz5MSMAAMB9J9dfq+Pi4qLHH3/c5CwAAAAPjDt+rQ4AAADuHpEFAABgAJEFAABgAJEFAABgAJEFAABgAJEFAABgAJEFAABgAJEFAABgAJEFAABgAJEFAABgAJEFAABgAJEFAABgAJEFAABgAJEFAABgAJEFAABgAJEFAABgAJEFAABgAJEFAABgAJEFAABgAJEFAABgAJEFAABgAJEFAABgQL5F1rZt23T+/Pn82h0AAECBsubXjgICAvJrVwAAAAWO04UAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAGEFkAAAAG5FtkxcbG6uzZs/m1OwAAgAJlza8dNWjQIL92BQAAUOA4XQgAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGAAkQUAAGBAvkVWbGyszp8/n1+7AwAAKFDW/NpRgwYN8mtXAAAABY7ThQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAYQWQAAAAZYC3qA7Dg5WfJ1f75eHvm6PwD/k9+/7/nJtbhPQY8APLTy47XlTvuw2O12u/EpAAAAHjL5drpw+/btOnv2bH7tDgAAoEBxJAsAAMAALnwHAAAwgMgCAAAwgMgCAAAwgMgCAAAwgMgCAAAwgMgCAAAwgMgCAAAwgMgCAAAwgMjCHZ0+fVr+/v4aNWpUptsPHDggf39/RUZG3vM+hg8fflfb2bt3r0aOHJnl9hkzZmjGjBl3tW9/f39J0oIFC7RgwYK7WhfA/yQmJurdd99VcHCwQkND1atXL+3fv1+SFBMTo169ehXIXNOmTVN0dHSW22NiYtStWzeFhISoffv2Cg8PV0ZGRr7N9dvXvW3btqlp06basWOHoqOjNW3atHybBWYUyi+IRuFTsmRJbdiwQRkZGXJ2dpYkrVq1St7e3gUyT61atVSrVq083WaPHj3ydHvAw8Rms6lfv34KDAzUsmXLZLVatXXrVvXr108rV64s0NmGDBmS5bbU1FT99a9/1YIFC1SxYkWlpqZq8ODBmj9/vp577rl8nzE2Nlavv/66IiIiVKdOHUnSU089le9zIG9xJAu54uHhoerVq2v79u2O2zZt2qQmTZo4fr51REiSIiMjNXz4cElSq1atNHnyZIWFhalr16769ttv9dxzz6lFixZatWqVY51vv/1WYWFh6tChg+P2xMREDR48WN26dVPLli01YsQI2e32XP1V3KtXL4WHh6tbt25q3bq1vvvuO0k3j8z16NFDoaGhmY7O/foo2L/+9S916dJFwcHB6tSpk44dO+Z4LFOnTtXTTz+t9u3ba9++fZKkuXPnKiQkRB07dsxyxA94GMTExOjcuXMaPHiwrNabf783atRI7733nmw2myTp8uXL6tevn9q0aaMBAwYoNTVVkrRs2TJ16tRJoaGhGjFihG7cuCFJatq0qcaNG6eOHTuqc+fOOnXqlKTb/x5u27ZNPXr0UKdOnfTUU09p3bp1krI/Un79+nUlJibq+vXrkiRXV1eNHDlSAQEBkm6+fsTExEi6+ZrRqlUrx7ZGjx6tsLAwtWnTRsuWLZMkJSUl6c0331RYWJhCQ0P11VdfSbr5WtirVy916NBBU6ZMyfa527lzp4YNG6aZM2c6Auu3r6HZPd5Dhw459jdu3Di1bt1akrRixQqFhoYqLCxMgwcPdjyfyH9EFnKtbdu2WrNmjSQpLi5O/v7+cnFxydW6vr6+ioyMlJ+fn2bPnq05c+Zo0qRJmj17tmOZ69ev64svvtA///lPTZgwQfHx8fr2229VvXp1LVq0SGvWrNH27dsdpx9yIy0tTYsWLdJbb73lOPQ+btw4hYWFKSoqSvXq1cuyTmJiotatW6d58+bpq6++0h//+EfNnz/fcX/JkiW1ZMkSde/eXR9//LEyMjL08ccfa+nSpYqMjFRaWprOnz+f6xmBB8EPP/ygatWqyckp839WWrRoIR8fH0nS2bNnNWrUKH399de6ePGiNm/erMOHD+uLL77QwoULFRUVJR8fH33yySeSpPj4eDVu3FjLli1Tw4YNc/w9lG7+cTR+/Hh9+eWXGj9+fI6n20qUKKH+/fs7/rAbP368zp8/r2rVqt3xsZ46dUqLFi3SZ599pvDwcMXHx+vDDz/UH/7wB0VGRmr+/Pn66KOPHFF4/vx5ffnll3rttdeybGvPnj3q16+fAgICcjw6n93jHT58uIYMGaKoqChVrFjRcapz6tSpmjNnjiIjI1W+fHnHH4nIf0QWcq1Vq1b6/vvvZbPZ9PXXX6tt27a5Xrd58+aSpHLlyqlhw4ayWq0qV66crl696limU6dOslqtKlOmjOrUqaM9e/YoODhYQUFB+vTTTzV+/HhduXJFycnJud5vs2bNJElVq1bVlStXJN38a/fW7CEhIVlC0dPTU5MnT9bKlSs1efJk/ec//8m0z99u09nZWXXr1tXTTz+tiIgI9e3bV2XKlMn1jMCDwMnJSW5ubjkuU61aNVWsWFFOTk7y8/PTL7/8opiYGP3000/q2rWrQkNDFR0dnSkKfv37lpCQkO3tt363J02apMOHD2vmzJmaO3eukpKScpznpZde0vfff6/+/fsrKSlJ/fr106effnrHxxoWFiYXFxc98sgjqlevnnbs2KHNmzdr4cKFCg0N1TPPPKPk5GQdPnxYklSjRg3H0b3fWr16tWbOnKktW7Zke93Y7R7vlStXdObMGbVo0UKS1LlzZ8eyLVu2VI8ePRQeHq42bdqoevXqd3xMMIPIQq55eHioWrVq2rFjh7Zu3ZrpVOEtdrtdkpSenp7p9l+HzO1ebG5d6yXdvL7DxcVF8+bNU3h4uLy9vfXss8/Kz8/PsY/cuPWib7FYsp3TYrFk+cv73Llz6tatm65du6bmzZurU6dOmfaZ3TZnzZqlMWPGyG6368UXX9S2bdtyPSPwIKhZs6Z++OGHLL+fU6ZM0datWyVl/t23WCyy2+3KyMhQ27ZtFRUVpaioKC1evDjTKfdf/77d6fewZ8+eiouLU82aNTVgwIAc5929e7fmz58vb29vBQcH67333lNERIQWL17sWOZ2r2e/fa2yWq2y2WyaNGmS43F88cUXjjByd3e/7RyvvfaaGjVqpAkTJmjkyJG3PQr+28fr7Ox829fCt99+W9OnT1eJEiU0bNgwRUVF5fhcwBwiC3elbdu2mjx5smrWrJkllry8vHT48GHZ7XatX7/+rre9cuVK2e12nTlzRvv27VOtWrW0adMmx7t/bty4oYMHDzqu7/i9mjRpouXLl0uS1q5dm+V6hb1796py5crq06ePatWqpXXr1uX4jqPLly+rXbt2euKJJzRkyBAFBQXpxx9/vKcZgftNgwYN5OPjo4iICMfvy4YNGxQZGakqVarcdr3AwEB98803unTpkux2u8aMGaPPPvvsrvd/5coVnThxQkOGDFHz5s0VHR2d4+9tiRIlFBERoYMHDzpu279/v+Ooj5eXl44cOSJJjmu7bvn6668dr1VxcXGqX7++GjVq5Hh38oULFxQSEqJz587dce5bf4A2bdpU7du31+uvv56r17hixYqpYsWKjmtNV6xYIelmEP7pT3+Sl5eX+vfvr9DQUB04cOCO24MZvLsQd6Vly5YaOXJktu/W+etf/6oBAwbI19dX9evX1y+//HJX2y5atKjCwsKUnp6usWPHytvbW71799aYMWM0e/ZseXp6qm7dujp9+rQqVar0ux/DqFGjNGzYMC1atEg1a9aUh4dHpvuDgoK0YMECtWvXTna7XQ0bNnQc9s+Ot7e3unXrpqefflpFihTRY489lunQPfAwsFgsmjVrlt577z0FBwfLarXKy8tLs2fPlq+vr44ePZrtetWqVdOgQYPUu3dv2Ww2Va9eXX/5y1/uev8lS5Z0XBhutVrVqFEjpaSk3Pbygscee0wTJ07UiBEjlJiYKIvFotq1azuOor344osaPny4li5dmuVdfikpKercubNSU1M1duxYeXl5adCgQRozZoyCg4OVkZGhYcOGqVKlSoqNjc31Yxg2bJg6deqkjz/+OFeXHISHh2vEiBGaOnWq/P395e7uLqvVqsGDB+v555+Xm5ubfHx8NHHixFzPgLxlsd/NuRcAAB5iw4cPV0BAgMLCwgp6FEVERKhr164qXbq01q5dqxUrVtz15wTCLI5kAQBwHypXrpyef/55Wa1WFS9eXH/7298KeiT8BkeyAAAADODCdwAAAAOILAAAAAOILAAAAAOILACFxssvv5ztd1K2aNFC/v7+WT6occKECWrTpo1atWqlWbNm5deYAJArRBaAQqNRo0aKi4tTWlqa47ajR48qPj5epUqV0saNGzMtHxsbqyZNmmjJkiXq06dPPk8LADkjsgAUGrc+QPLXn1C9ceNG1ahRQ82aNcsUWUlJSTp48KCCgoLk7e2tokWLFsTIAHBbRBaAQqNq1ary9fXVrl27HLdt2rRJQUFBaty4sTZv3uz4ypFbywQGBmY6XThjxgy98MILmjlzppo2baqGDRtqwIABjlONp0+flr+/v9asWaNOnTrpySefVGhoaKavTrHZbProo4/UsmVL1alTR507d3Z8fYkkRUZGqk2bNhozZozq16+vN954w/hzA+D+Q2QBKFQCAwMdAZWamqrt27erSZMmCgoKUkJCgvbt2yfp5qnCmjVrqlixYlm2ERMTox9//FFz587VBx98oF27dmn69OmZlgkPD9fQoUO1ePFilS1bVm+++abjK1gmT56syMhIjR07VlFRUerUqZMGDRqkmJgYx/onTpxQYmKili1bpv79+5t6OgDcx/jEdwCFSuPGjRURESFJ2rlzpySpbt26cnV1lb+/vzZs2KDatWtrx44datKkSbbbsNvtmjBhgjw9PVW1alWFhIRo8+bNmZZ54YUX1Lx5c0nSkCFD1LFjRx05ckR+fn76/PPPNWPGDDVr1kySVLlyZR08eFCzZ89WYGCgYxsDBw5UxYoV8/w5APBg4EgWgEKlUaNG+vnnn3X27Flt2rRJAQEBcnV1lSQ1adJE27ZtU2pqquLi4m4bWb6+vvL09HT8XLx48UwX00s3vyD4lltHw9LS0nT06FGlpqZqyJAhqlu3ruOfZcuWZfqSY4vFogoVKuTZ4wbw4OFIFoBCpWLFiipfvrx2796tzZs3KyQkxHFfUFCQ/v3vf2vPnj1ycnJSnTp1st3GrSj7td9+g5iLi0u2y9xad8aMGapcuXKm+52cnDL9e3b7AYBbOJIFoNAJDAxUTEyMDhw4oKZNmzpub9CggWw2myIjI9WgQQMjkVO5cmW5uLjo/Pnzqly5suOfFStWKDIyMs/3B+DBRWQBKHQaNWqk5cuXq1SpUvLz83Pc7u7urvr162v16tW3PVV4r4oUKaI+ffpo8uTJWrVqlU6dOqXPP/9cM2fO5PorAHeF04UACp1GjRopOTlZf/7zn7Pc16RJE23ZskWNGzc2tv9XX31VLi4uCg8P18WLF1WxYkWNHTtWYWFhxvYJ4MFjsf/2QgUAAADcM04XAgAAGEBkAQAAGEBkAQAAGEBkAQAAGEBkAQAAGEBkAQAAGEBkAQAAGEBkAQAAGPD/P3BzreceHwcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(style='dark')\n",
    "fig=plt.gcf()\n",
    "fig.set_size_inches(10,8)\n",
    "sns.countplot(micsk['winner'],order=micsk['winner'].value_counts().index)\n",
    "plt.text(-0.1,15,str(micsk['winner'].value_counts()['Mumbai Indians']),size=29,color='white')\n",
    "plt.text(0.9,9,str(micsk['winner'].value_counts()['Chennai Super Kings']),size=29,color='white')\n",
    "plt.xlabel('Winner',fontsize=15)\n",
    "plt.ylabel('Count',fontsize=15)\n",
    "plt.yticks(fontsize=0)\n",
    "plt.title('MI vs CSK - head to head')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\kavan\\anaconda3\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1332x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(style='darkgrid')\n",
    "fig=plt.gcf()\n",
    "fig.set_size_inches(18.5,8)\n",
    "sns.countplot(micsk['player_of_match'],order=micsk['player_of_match'].value_counts().index,palette='Set2')\n",
    "plt.title('All man of the match awards in MI-CSK games',fontsize=15)\n",
    "plt.yticks([1,2,3],[1,2,3],fontsize=15)\n",
    "plt.xticks(fontsize=15,rotation=90)\n",
    "plt.xlabel('Man of the match',fontsize=15)\n",
    "plt.ylabel('Count',fontsize=15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\kavan\\anaconda3\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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np15//XVt3rxZu3bt0k8//aS1a9dqzpw5mjFjhvz8/NSnTx81atRI27Zt086dO9WvXz+tWrVKM2fOdPq5NpvN6fQALy8v+9fx48eX9Pi8/r8WCpLsb2r+fmj+s1SpUkWlS5fWtm3b9PPPP2vatGn6+uuvFRQUZH9TJOmpb4D+uh2eZPj7+v/++zxx//59NWzYUFFRUapcubL8/Pzk4+Pz1FImJl5eXqpVq5batGnjdFu6dOl09epV1atXTxkyZJC/v78qVKig9OnT64MPPrA/PjZiOmXiab9XyZIllTZtWm3atEnx4sVT8uTJVaZMGfv6ypQpowEDBjg97q+TxD75f47N+iTZ5195so7cuXM7zOvxxD+ZdPSfZniiSpUqGjBggCIiIrRhwwZ98sknsVpf7dq11aFDB4WFhWnNmjWqUaOGfbsXLVpUy5cvV3R0tFMJFx0drfbt26tOnTqqUqWKRo8erQoVKsjPz0/S48ImZ86cql69uvz9/bVz50570VGiRAk1btxYkjR69GjVqlVLAwcO1KRJk56ZNaYx9rSryjzvORjbn/93f98O0uP/n9jsI9588037/mjnzp1asGCB5syZo8DAQOXOnfu56wYAmIM5OgAA/5lcuXLpwIEDDssOHDggLy8vZcuWTQsWLNCmTZtUrlw59evXT+vXr1eWLFm0fv16XbhwQZ9++qnSpUunRo0a6csvv9To0aO1bds2+1EQf5U/f36dOXPG4dPro0eP2r/Onj27vLy89Oeffyp79uz2f6tXr9ayZcvseY8fP+5wVMTixYtVp04dh3VFRkZq9OjRunz5smrUqKGRI0dq7dq1unz5svbu3etw36RJk+q1116LcTukS5fuuZ+Ax2Tv3r0KDg7W/Pnz1alTJ1WuXFn3799XdHS0/Q318y5Jmjt3bp0+fdphW9y8eVOjR4/WvXv39P333+vevXtasGCB2rVrp4oVK+rWrVuSHr8pTJYsmdKlS+cwcaQkNWnSxD4p6j/l4eGhmjVrauPGjVq/fr3DG/YneTNlymTP6+HhoREjRuiPP/6I1c/38vLSvXv3HJadP3/e/nWePHl06dIlpUyZ0r6ONGnSaOTIkQoJCXmh3+mfKFeunCIiIrR48WL9/vvvKleuXKweV6pUKaVKlUrfffed9u/fr1q1atlvq127tu7cuaNFixY5PW7t2rXatm2bvZjbvXu35s6d63S/xIkTy9PTU2nSpLEv+2uBlT17dvXq1UsbN260Txz7X3jec1Byfp7nypXLYdxLUu/evTVs2LDnri82+4gpU6bo4MGDeueddzRkyBBt2rRJ0dHRDhOaAgDiHooOAMB/pkOHDlq/fr1mzZqlc+fOaf369Zo0aZI++ugjJUuWTLdu3dJnn32mH374QZcvX9aWLVt06dIl+fj4KFWqVFq/fr0GDx6s06dP6/Tp01q/fr2yZcumVKlSOa3rvffeU4oUKdS7d2+FhIRox44dDp8uJ0qUSM2bN9e4ceO0bt06Xbx4UfPmzdPUqVOVNWtWSVKjRo10/fp1ffbZZzp9+rR++uknTZ48WeXLl3dYl6enp44dO6ZBgwbp0KFDunjxohYvXiwvLy8VLFgwxu0wb948LVmyROfPn1dQUJACAwPVvHnz5xYSMXlyBMPq1at1+fJl7dq1S127dpUk+2H/SZIkUWhoqM6cORPjqSJt2rTR4cOHNXLkSJ0+fVp79+5Vnz59dPfuXaVLl06pUqVSWFiYNm7caP+/+fTTTx3W0bp1a3399ddau3atLly4oGnTpunQoUNO2+ufqFWrlvbs2aNdu3Y5vGFv3Lix7ty5o759++q3337TkSNH1L17d507d87pdJWn8fX11Y0bN/T111/r0qVLWrhwobZv326/vUaNGkqVKpW6du2qI0eOKCQkRD169NChQ4eUJ0+eF/6dYithwoSqUKGCxo8fr0qVKsV4ZEhMnhREEydOVP78+e1XUZGkvHnzqlOnTho+fLgmTJig3377TadPn9acOXM0cOBANW7c2H6qTrdu3bR9+3b17NlTBw8e1KVLl7Rr1y598sknSpcunapUqfLUDA0bNlTZsmU1YsQInTlz5t9tiP8Xm+dgkiRJ9Oeff+rixYuKjIxU69attXr1ai1atEgXLlxQUFCQ1q5dq4oVKz53fbHZR1y+fFlDhgzRnj17dPnyZa1atUp3796Vj4/Pf/I7AwBeDk5dAQD8Z8qWLavRo0drxowZmjhxotKnT6+mTZuqXbt2kqT27dvr4cOHGjJkiK5fv66MGTOqc+fO9nk9Zs2apbFjx6pu3bqKjo5W8eLFNXPmzBgPPU+aNKm++eYbDR06VB999JHSp0+vNm3a2K/gIEldu3aVl5eXxowZo+vXrytr1qwaOnSo/YiNDBkyaNasWfr8889Vq1YtpU6dWh9++KHTlT2kx1dnGDFihNq1a6d79+4pT548mjp1qtMh75JUv359PXz4UDNmzNCQIUOUNWtW9e3bVw0bNnyh7VqkSBH17t3bvn0yZcqkDz/8UNu3b9eRI0fUoEEDVa5cWUuXLlXNmjU1btw4Va5c2eFneHt72/9fFi5cqGTJksnf31+9e/eW9Lg4OnLkiIYNG6b79+8rW7Zs6tixo/3qN+XKlVPTpk318OFDjR07Vjdv3lSePHk0ffp05cmT56mXtH2e119/Xfnz51d4eLj9NAnp8ek0c+fO1eeff666desqYcKE8vPz08SJE2NdCJQsWVKdO3fWrFmzNGHCBJUrV05dunTRggULJD0uGubOnatRo0apWbNmstls8vX11TfffONwNMPLVKVKFa1bt+6pc9E8Ta1atTRz5ky9//77Trd17NhRuXLl0vz58/Xtt98qPDxcOXPmVEBAgMNpIOXKldP8+fM1a9Ysffzxx7p7965Sp06tt99+W8OHD3/ufCHDhw9XzZo11bNnT3377bex/n95mtg8B+vUqaPNmzeratWqWrBggSpVqqRBgwZp9uzZGjFihLJly6YxY8aodOnS9jk6nuV5+4gnl8ft0aOHbt++rezZs2vkyJEqUaLEv/pdAQAvl82IzUmkAAAAAAAArwBOXQEAAAAAAJZB0QEAAAAAACyDogMAAAAAAFgGRQcAAAAAALAMig4AAAAAAGAZFB0AAAAAAMAyPM0O8E/dunVP0dFcERcAAAAAAHfk4WFTqlRJnnr7K1d0REcbFB0AAAAAACBGnLoCAAAAAAAsg6IDAAAAAABYBkUHAAAAAACwDIoOAAAAAABgGRQdAAAAAADAMig6AAAAAACAZVB0AAAAAAAAy6DoAAAAAAAAlkHRAQAAAAAALIOiAwAAAAAAWAZFBwAAAAAAsAyKDgAAAAAAYBkuLzqWLFmiypUrq0iRIqpTp4527drl6ggAAAAAAMCiXFp0LF++XEOGDFGbNm20evVqFS9eXB07dtSlS5dcGQMAAAAAAFiUy4oOwzA0efJktWnTRh9++KGyZ8+uPn36KFu2bPrll19cFQMAAAAAAFiYp6tWdObMGV2+fFlVq1a1L/Pw8NDKlStdFQEAAAAAAFicy47oOHfunCTpzp07atq0qUqVKqVGjRrp4MGDrooAAAAAAAAszmVHdISFhUmS+vbtqy5duuj111/XkiVL1KxZM61YsUK5cuWK1c9JkyZpjMsjoqLkFS/ef5b3WVy5LgAAAAAAEHsuKzq8vLwkSe3bt1eNGjUkSQUKFNCBAwe0aNEiDRgwIFY/58aNMEVHG07L06VLph7r5/13gZ9h3HtNde3aXZesCwAAAAAA/I+Hh+2pB0FILjx1JX369JKkvHnz2pfZbDa9/vrrXHUFAAAAAAD8J1xWdBQsWFCJEyfWkSNH7MsMw9Dp06eVNWtWV8UAAAAAAAAW5rJTVxIlSqRmzZrpiy++UNq0aZU3b14tXLhQFy5c0KRJk1wVAwAAAAAAWJjLig5J+uSTT5QoUSKNGDFCN27cUP78+TVnzhy9/vrrrowBAAAAAAAsyqVFh81mU7t27dSuXTtXrhYAAAAAALgJl83RAQAAAAAA8LJRdAAAAAAAAMug6AAAAAAAAJZB0QEAAAAAACyDogMAAAAAAFgGRQcAAAAAALAMig4AAAAAAGAZFB0AAAAAAMAyKDoAAAAAAIBlUHQAAAAAAADLoOgAAAAAAACWQdEBAAAAAAAsg6IDAAAAAABYBkUHAAAAAACwDIoOAAAAAABgGRQdAAAAAADAMig6AAAAAACAZVB0AAAAAAAAy6DoAAAAAAAAlkHRAQAAAAAALIOiAwAAAAAAWAZFBwAAAAAAsAyKDgAAAAAAYBkUHQAAAAAAwDIoOgAAAAAAgGVQdAAAAAAAAMug6AAAAAAAAJZB0QEAAAAAACyDogMAAAAAAFgGRQcAAAAAALAMig4AAAAAAGAZFB0AAAAAAMAyKDoAAAAAAIBlUHQAAAAAAADLoOgAAAAAAACWQdEBAAAAAAAsg6IDAAAAAABYBkUHAAAAAACwDIoOAAAAAABgGRQdAAAAAADAMig6AAAAAACAZVB0AAAAAAAAy6DoAAAAAAAAlkHRAQAAAAAALIOiAwAAAAAAWAZFBwAAAAAAsAyKDgAAAAAAYBkUHQAAAAAAwDIoOgAAAAAAgGVQdAAAAAAAAMug6AAAAAAAAJZB0QEAAAAAACyDogMAAAAAAFgGRQcAAAAAALAMig4AAAAAAGAZFB0AAAAAAMAyKDoAAAAAAIBleLpyZSdPnlT16tWdli9YsEBvvvmmK6MAAAAAAAALcnnRkSpVKq1evdphecqUKV0ZAwAAAAAAWJRLi46QkBDlzp1b6dKlc+VqAQAAAACAm3DpHB0nT57U66+/7spVAgAAAAAAN+LyouP3339X3bp1VaZMGTVv3lyHDx92ZQQAAAAAAGBhLjt15eHDh7p48aJSp06t3r17K378+AoMDFTjxo21fPly5cqVK1Y/J02apC85aeykS5fM7AgAAAAAAOBvXFZ0JEyYUPv27VP8+PE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\n",
      "text/plain": [
       "<Figure size 1332x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(style='darkgrid')\n",
    "fig=plt.gcf()\n",
    "fig.set_size_inches(18.5,8)\n",
    "sns.countplot(micsk['venue'],order=micsk['venue'].value_counts().index,palette='Set2',hue=data['toss_decision'])\n",
    "plt.title('Toss decision at each venue in MIvCSK matches',fontsize=15)\n",
    "plt.yticks(fontsize=15)\n",
    "plt.xticks(fontsize=15,rotation=90)\n",
    "plt.xlabel('Venue',fontsize=15)\n",
    "plt.ylabel('Count',fontsize=15)\n",
    "plt.legend(loc=5,fontsize=15)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\kavan\\anaconda3\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1332x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(style='darkgrid')\n",
    "fig=plt.gcf()\n",
    "fig.set_size_inches(18.5,8)\n",
    "sns.countplot(micsk['toss_winner'],order=micsk['toss_winner'].value_counts().index,palette='Set2',hue=data['toss_decision'])\n",
    "plt.title('Toss decision statistics for both team',fontsize=15)\n",
    "plt.yticks(fontsize=15)\n",
    "plt.xticks(fontsize=15)\n",
    "plt.xlabel('Toss winner',fontsize=15)\n",
    "plt.ylabel('Count',fontsize=15)\n",
    "plt.text(-0.25,6,str(int((7/15)*100)+1)+'%',fontsize=29)\n",
    "plt.text(0.15,7,str(int((8/15)*100))+'%',fontsize=29)\n",
    "plt.text(0.75,7,str(int((8/13)*100)+1)+'%',fontsize=29)\n",
    "plt.text(1.15,4,str(int((5/13)*100))+'%',fontsize=29)\n",
    "plt.legend(['Field first','Bat first'],loc='best',fontsize=15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}