Untitled.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3fd7db9d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hello world\n"
     ]
    }
   ],
   "source": [
    "print(\"hello world\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4e5c1521",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: You are using pip version 21.1.3; however, version 21.2.1 is available.\n",
      "You should consider upgrading via the 'c:\\users\\hp\\appdata\\local\\programs\\python\\python39\\python.exe -m pip install --upgrade pip' command.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: seaborn in c:\\users\\hp\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (0.11.1)\n",
      "Requirement already satisfied: scipy>=1.0 in c:\\users\\hp\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from seaborn) (1.7.0)\n",
      "Requirement already satisfied: numpy>=1.15 in c:\\users\\hp\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from seaborn) (1.21.0)\n",
      "Requirement already satisfied: matplotlib>=2.2 in c:\\users\\hp\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from seaborn) (3.4.2)\n",
      "Requirement already satisfied: pandas>=0.23 in c:\\users\\hp\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from seaborn) (1.3.0)\n",
      "Requirement already satisfied: python-dateutil>=2.7 in c:\\users\\hp\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from matplotlib>=2.2->seaborn) (2.8.2)\n",
      "Requirement already satisfied: cycler>=0.10 in c:\\users\\hp\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from matplotlib>=2.2->seaborn) (0.10.0)\n",
      "Requirement already satisfied: pyparsing>=2.2.1 in c:\\users\\hp\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from matplotlib>=2.2->seaborn) (2.4.7)\n",
      "Requirement already satisfied: pillow>=6.2.0 in c:\\users\\hp\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from matplotlib>=2.2->seaborn) (8.3.1)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\hp\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from matplotlib>=2.2->seaborn) (1.3.1)\n",
      "Requirement already satisfied: six in c:\\users\\hp\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from cycler>=0.10->matplotlib>=2.2->seaborn) (1.16.0)\n",
      "Requirement already satisfied: pytz>=2017.3 in c:\\users\\hp\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from pandas>=0.23->seaborn) (2021.1)\n"
     ]
    }
   ],
   "source": [
    "!pip3 install seaborn\n",
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "import numpy as np\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1851e00c",
   "metadata": {},
   "outputs": [],
   "source": [
    "ipl = pd.read_csv('matches.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "723bc3f1",
   "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>2017-04-05</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>2017-04-06</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>2017-04-07</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>2017-04-08</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>2017-04-08</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",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id  season       city        date                        team1  \\\n",
       "0   1    2017  Hyderabad  2017-04-05          Sunrisers Hyderabad   \n",
       "1   2    2017       Pune  2017-04-06               Mumbai Indians   \n",
       "2   3    2017     Rajkot  2017-04-07                Gujarat Lions   \n",
       "3   4    2017     Indore  2017-04-08       Rising Pune Supergiant   \n",
       "4   5    2017  Bangalore  2017-04-08  Royal Challengers Bangalore   \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",
       "   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",
       "   win_by_wickets player_of_match                                      venue  \\\n",
       "0               0    Yuvraj Singh  Rajiv Gandhi International Stadium, Uppal   \n",
       "1               7       SPD Smith    Maharashtra Cricket Association Stadium   \n",
       "2              10         CA Lynn     Saurashtra Cricket Association Stadium   \n",
       "3               6      GJ Maxwell                     Holkar Cricket Stadium   \n",
       "4               0       KM Jadhav                      M Chinnaswamy Stadium   \n",
       "\n",
       "          umpire1        umpire2  umpire3  \n",
       "0     AY Dandekar       NJ Llong      NaN  \n",
       "1  A Nand Kishore         S Ravi      NaN  \n",
       "2     Nitin Menon      CK Nandan      NaN  \n",
       "3    AK Chaudhary  C Shamshuddin      NaN  \n",
       "4             NaN            NaN      NaN  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ipl.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ee0b034b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 636 entries, 0 to 635\n",
      "Data columns (total 18 columns):\n",
      " #   Column           Non-Null Count  Dtype  \n",
      "---  ------           --------------  -----  \n",
      " 0   id               636 non-null    int64  \n",
      " 1   season           636 non-null    int64  \n",
      " 2   city             629 non-null    object \n",
      " 3   date             636 non-null    object \n",
      " 4   team1            636 non-null    object \n",
      " 5   team2            636 non-null    object \n",
      " 6   toss_winner      636 non-null    object \n",
      " 7   toss_decision    636 non-null    object \n",
      " 8   result           636 non-null    object \n",
      " 9   dl_applied       636 non-null    int64  \n",
      " 10  winner           633 non-null    object \n",
      " 11  win_by_runs      636 non-null    int64  \n",
      " 12  win_by_wickets   636 non-null    int64  \n",
      " 13  player_of_match  633 non-null    object \n",
      " 14  venue            636 non-null    object \n",
      " 15  umpire1          635 non-null    object \n",
      " 16  umpire2          635 non-null    object \n",
      " 17  umpire3          0 non-null      float64\n",
      "dtypes: float64(1), int64(5), object(12)\n",
      "memory usage: 89.6+ KB\n"
     ]
    }
   ],
   "source": [
    "ipl.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f2790004",
   "metadata": {},
   "source": [
    "## How many matches we've got in the dataset\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4c6a8d4d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "636"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ipl['id'].max()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c6a0cfb1",
   "metadata": {},
   "source": [
    "## Matches won by the Teams"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "8d219c2c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Matches won by the Teams')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 792x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Matches won by the Teams\n",
    "plt.figure(figsize = (11,9))\n",
    "sns.countplot(y = 'winner',\n",
    "              data = ipl,\n",
    "              order= ipl['winner'].value_counts().index,\n",
    "              palette = 'rocket' )\n",
    "plt.xlabel('No of Wins',fontsize=12)\n",
    "plt.ylabel('Team',fontsize=12)\n",
    "plt.title('Matches won by the Teams',fontsize=16)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d6540424",
   "metadata": {},
   "source": [
    "# # Most utilized Venues"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a41b798d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Number of matches played in each Stadium')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (12,8))\n",
    "sns.countplot(y = 'venue',\n",
    "              data = ipl,\n",
    "              order = ipl['venue'].value_counts().iloc[:10].index,\n",
    "              palette='cubehelix')\n",
    "plt.xlabel('No of matches',fontsize=12)\n",
    "plt.ylabel('Venue',fontsize=12)\n",
    "plt.title('Number of matches played in each Stadium',fontsize=16)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82042899",
   "metadata": {},
   "source": [
    "# Toss Decision"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "8646b5c1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.patches.Circle at 0x25c218f7c10>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(6,6))\n",
    "sizes = ipl.toss_decision.value_counts()\n",
    "labels = ipl.toss_decision.value_counts().index\n",
    "plt.pie(sizes,colors = ['#ff9999','#66b3ff'],\n",
    "         labels=labels,\n",
    "         autopct='%1.1f%%',\n",
    "         startangle=90,\n",
    "         pctdistance=0.75,\n",
    "         explode = (0.025,0.025))\n",
    "\n",
    "#draw white circle\n",
    "centre_circle = plt.Circle((0,0),0.60,fc='white')\n",
    "fig = plt.gcf()\n",
    "fig.gca().add_artist(centre_circle)\n",
    "#In more than 61% of matches, teams chose to field after winning the toss"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f861786",
   "metadata": {},
   "source": [
    "## Toss Decision to field or bat in each IPL season"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5ae9e8b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Decision to field or bat in each IPL season')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AAAADIeABAAAMxKw7B29J7r333lx//fW55557xl3Kam299dbLdtttl3XWWWfcpQAAAKvAIALe9ddfnw033DBz5sxJVY27nNVSay2LFi3K9ddfn+23337c5QAAAKvAIIZo3nPPPdlss82Eu2Woqmy22WZ6OQEAYMBmrAevqhYkuTPJ/Unua63NrarHJDkryZwkC5L8eWvtthXc/mgKHTBtBAAAwzbTPXh/1FrbrbU2t39/bJIvtNaekOQL/XsAAABWwLiHaB6Q5PT+9elJXjC+UgAAAGa3mQx4Lcn5VfXNqjqin7Zla+3G/vVNSbZc0opVdURVzauqeQsXLlzujm6//fa85z3vGUnRU7FgwYLsvPPOK7Tu6173ulxwwQVLnX/KKafkjDPOWNHSAACANchMXkXzGa21G6rqsUk+X1VXT5zZWmtV1Za0Ymvt/UnenyRz585d4jITLQ54r3zlK0dR9yr1hje8YZnzjzzyyBmqBAAAmO1mrAevtXZD/3xzknOS7JHkZ1W1dZL0zzePYl/HHntsfvCDH2S33XbLMccck2OOOSY777xznvSkJ+Wss85Kktx4443Za6+9sttuu2XnnXfOV77yldx///055JBDHlz25JNPXuo+vvnNb2bXXXfNrrvumne/+90PTr///vtzzDHHZPfdd88uu+yS973vfQ/OO+mkk/KkJz0pu+66a449tjvd8JBDDsnZZ5/9YN077bRTdtlll7zmNa9Jkhx//PH513/91yTJ/Pnz87SnPS277LJLXvjCF+a227rr0eyzzz557Wtfmz322CO/+7u/m6985SujaEYAAGCWmZEevKp6dJJHtNbu7F/vm+QNST6T5GVJ3tw/f3oU+3vzm9+cK6+8MvPnz88nPvGJnHLKKbn88stzyy23ZPfdd89ee+2Vj3zkI3nuc5+b4447Lvfff3/uvvvuzJ8/PzfccEOuvPLKJF1P4NIceuihede73pW99torxxxzzIPTTz311Gy88ca59NJL86tf/Sp77rln9t1331x99dX59Kc/na9//etZf/31c+uttz5ke4sWLco555yTq6++OlW1xH3/5V/+Zd75zndm7733zute97q8/vWvz9ve9rYkyX333ZdvfOMb+dznPpfXv/71yxz2CQAADNNM9eBtmeTiqro8yTeSfLa1dl66YPecqromybP79yN18cUX5y/+4i+y1lprZcstt8zee++dSy+9NLvvvntOO+20HH/88bniiiuy4YYbZocddsh1112Xv/mbv8l5552XjTbaaInbvP3223P77bdnr732SpIcfPDBD847//zzc8YZZ2S33XbLU5/61CxatCjXXHNNLrjgghx66KFZf/31kySPecxjHrLNjTfeOOutt14OO+ywfPKTn3xwucV+/vOf5/bbb8/ee++dJHnZy16Wiy666MH5//2///ckyR/8wR9kwYIFK9doAADArDQjAa+1dl1rbdf+8futtRP76Ytaa3/cWntCa+3ZrbVbl7etUdlrr71y0UUXZdttt80hhxySM844I5tuumkuv/zy7LPPPjnllFNy+OGHT3u7rbW8853vzPz58zN//vz88Ic/zL777rvc9dZee+184xvfyEEHHZRzzz03++2337T2u+666yZJ1lprrdx3333TrhsAAJj9xn2bhFViww03zJ133pkkeeYzn5mzzjor999/fxYuXJiLLrooe+yxR370ox9lyy23zF/91V/l8MMPz2WXXZZbbrklDzzwQA488MCccMIJueyyy5a4/U022SSbbLJJLr744iTJmWee+eC85z73uXnve9+be++9N0ny/e9/P7/4xS/ynOc8J6eddlruvvvuJHnYEM277rorP//5z7P//vvn5JNPzuWXX/6Q+RtvvHE23XTTB8+v+9CHPvRgbx4AAEAys1fRnDGbbbZZ9txzz+y888553vOel1122SW77rprqipvectbstVWW+X000/P//7f/zvrrLNONthgg5xxxhm54YYbcuihh+aBBx5IkrzpTW9a6j5OO+20vPzlL09VPaSH7vDDD8+CBQvylKc8Ja21bLHFFvnUpz6V/fbbL/Pnz8/cuXPzyEc+Mvvvv3/e+MY3PrjenXfemQMOOCD33HNPWmt561vf+rB9nn766TnyyCNz9913Z4cddshpp502wlYDAGA69n/hieMuIZ8757hxl8Bqplpb7l0HVitz585t8+bNe8i0q666Kk984hPHVNHsoq0AAEZDwGNcquqbrbW5S5o3yCGaAAAAa6JBDtEcpVe96lX56le/+pBpRx99dA499NAxVQQAALBkAt5yTLyJOQAAwOrMEE0AAICBEPAAAAAGQsADAAAYiDXyHLxRX9J2qpenfcc73pH3vve9uemmm/La1742xx577FKX/eAHP5h58+blXe9618PmbbDBBrnrrrtWuF4YgtXh0tSJy1MDwCj4uT46a2TAG5f3vOc9ueCCC7LddtuNuxQAAGCADNGcIUceeWSuu+66PO95z8vJJ5+co446KkmycOHCHHjggdl9992z++67P+yWDEnywx/+ME9/+tPzpCc9Kf/0T/8006UDAACzhIA3Q0455ZRss802ufDCC7Pppps+OP3oo4/O3/7t3+bSSy/NJz7xiRx++OEPW/foo4/OK17xilxxxRXZeuutZ7JsAABgFjFEc8wuuOCCfPe7333w/R133PGw8+u++tWv5hOf+ESS5OCDD85rX/vaGa0RAACYHQS8MXvggQfyta99Leutt94yl6uqGaoIAACYrQzRHLN9990373znOx98P3/+/Icts+eee+ZjH/tYkuTMM8+cqdIAAIBZZo3swVudLn/6jne8I6961auyyy675L777stee+2VU0455SHLvP3tb8+LX/zinHTSSTnggAPGVCkAALC6WyMD3rgsWLAgSXLIIYfkkEMOSZJsvvnmOeussx627MRltt9++1xyySUPzjvhhBNWdakAAMAsZIgmAADAQAh4AAAAAyHgAQAADISABwAAMBACHgAAwEAIeAAAAAOxRt4mYb9TTxvp9s477NDlLrNgwYI8//nPz5VXXjmlbX7wgx/Mvvvum2222WZlywMAANYQevBWUx/84Afz05/+dNxlAAAAs4iAN4Puu+++vOQlL8kTn/jEHHTQQbn77rvzhje8Ibvvvnt23nnnHHHEEWmt5eyzz868efPykpe8JLvttlt++ctfjrt0AABgFhDwZtD3vve9vPKVr8xVV12VjTbaKO95z3ty1FFH5dJLL82VV16ZX/7ylzn33HNz0EEHZe7cuTnzzDMzf/78POpRjxp36QAAwCwg4M2gxz3ucdlzzz2TJC996Utz8cUX58ILL8xTn/rUPOlJT8oXv/jFfOc73xlzlQAAwGy1Rl5kZVyq6mHvX/nKV2bevHl53OMel+OPPz733HPPmKoDAABmOz14M+jHP/5xLrnkkiTJRz7ykTzjGc9Ikmy++ea56667cvbZZz+47IYbbpg777xzLHUCAACz0xrZgzeV2xqsCjvuuGPe/e535+Uvf3l22mmnvOIVr8htt92WnXfeOVtttVV23333B5c95JBDcuSRR+ZRj3pULrnkEufhATAto74l0Ioa189cgDXVGhnwxmHOnDm5+uqrHzb9hBNOyAknnPCw6QceeGAOPPDAmSgNAAAYCEM0AQAABkLAAwAAGIjBBLzW2rhLWO1pIwAAGLZBBLz11lsvixYtEmCWobWWRYsWZb311ht3KQAAwCoyiIusbLfddrn++uuzcOHCcZeyWltvvfWy3XbbjbsMAABgFRlEwFtnnXWy/fbbj7sMAACAsRrEEE0AAAAEPAAAgMEQ8AAAAAZCwAMAABgIAQ8AAGAgBDwAAICBEPAAAAAGQsADAAAYCAEPAABgIAQ8AACAgRDwAAAABkLAAwAAGAgBDwAAYCAEPAAAgIEQ8AAAAAZCwAMAABgIAQ8AAGAgBDwAAICBEPAAAAAGQsADAAAYCAEPAABgIAQ8AACAgVh73AUAACzN/i88cdwlJEk+d85x4y4BYEr04AEAAAyEgAcAADAQAh4AAMBAzGjAq6q1qupbVXVu/377qvp6VV1bVWdV1SNnsh4AAIAhmekevKOTXDXh/UlJTm6tPT7JbUkOm+F6AAAABmPGAl5VbZfkT5J8oH9fSZ6V5Ox+kdOTvGCm6gEAABiamezBe1uSv0/yQP9+syS3t9bu699fn2TbJa1YVUdU1byqmrdw4cJVXigAAMBsNCMBr6qen+Tm1to3V2T91tr7W2tzW2tzt9hiixFXBwAAMAwzdaPzPZP8aVXtn2S9JBsleXuSTapq7b4Xb7skN8xQPQAAAIMzIz14rbV/aK1t11qbk+RFSb7YWntJkguTHNQv9rIkn56JegAAAIZo3PfBe22S/1VV16Y7J+/UMdcDAAAwa83UEM0Htda+lORL/evrkuwx0zUAAAAM0bh78AAAABiRGe/BA8Zrv1NPG3cJSZLzDjt03CUAAAyOHjwAAICBEPAAAAAGQsADAAAYCAEPAABgIAQ8AACAgRDwAAAABkLAAwAAGAgBDwAAYCAEPAAAgIEQ8AAAAAZCwAMAABgIAQ8AAGAgBDwAAICBEPAAAAAGYu1xFwDA+O3/whPHXUIeeP424y4hSXLeYYeOuwQAWGF68AAAAAZCwAMAABgIAQ8AAGAgBDwAAICBEPAAAAAGQsADAAAYCAEPAABgIAQ8AACAgRDwAAAABkLAAwAAGAgBDwAAYCAEPAAAgIEQ8AAAAAZCwAMAABiItcddACzPfqeeNu4SkiTnHXbouEsAAIBl0oMHAAAwEAIeAADAQAh4AAAAAyHgAQAADISABwAAMBACHgAAwEC4TQIAwBpi/xeeOO4SkiSfO+e4cZcAg6UHDwAAYCAEPAAAgIEQ8AAAAAZCwAMAABgIAQ8AAGAgBDwAAICBEPAAAAAGQsADAAAYCAEPAABgIAQ8AACAgRDwAAAABkLAAwAAGAgBDwAAYCAEPAAAgIFYe9wFjNr+Lzxx3CUkST53znHjLgEAAFjD6MEDAAAYCAEPAABgIAQ8AACAgRDwAAAABkLAAwAAGAgBDwAAYCAEPAAAgIEY3H3wAGDcVot7sj5/m3FXAMAY6MEDAAAYCAEPAABgIAQ8AACAgZiRgFdV61XVN6rq8qr6TlW9vp++fVV9vaquraqzquqRM1EPAADAEM1UD96vkjyrtbZrkt2S7FdVT0tyUpKTW2uPT3JbksNmqB4AAIDBmZGA1zp39W/X6R8tybOSnN1PPz3JC2aiHgAAgCGasXPwqmqtqpqf5OYkn0/ygyS3t9bu6xe5Psm2S1n3iKqaV1XzFi5cOCP1AgAAzDYzFvBaa/e31nZLsl2SPZL83jTWfX9rbW5rbe4WW2yxqkoEAACY1Wb8KpqttduTXJjk6Uk2qarFN1vfLskNM10PAADAUMzUVTS3qKpN+tePSvKcJFelC3oH9Yu9LMmnZ6IeAACAIVp7+YuMxNZJTq+qtdKFyn9vrZ1bVd9N8rGqOiHJt5KcOkP1AAAADM6MBLzW2reTPHkJ069Ldz4eAAAAK2nGz8EDAABg1RDwAAAABkLAAwAAGAgBDwAAYCAEPAAAgIEQ8AAAAAZCwAMAABgIAQ8AAGAgBDwAAICBEPAAAAAGYsoBr6r+bCnTDxpdOQAAAKyo6fTgnbqU6e8fRSEAAACsnLWXt0BV7dC/fERVbZ+kJszeIck9q6IwAAAApme5AS/JtUlaumD3g0nzbkpy/IhrAgAAYAUsN+C11h6RJFX15dba3qu+JAAAAFbElM/BE+4AAABWb1MZopkk6c+/OzHJbkk2mDivtfZboy0LAACA6ZpywEvykXTn4P1dkrtXTTkAAACsqOkEvN9Psmdr7YFVVQwAAAArbjr3wbsoyZNXVSEAAACsnOn04C1Icl5VnZPu9ggPaq29bpRFAQAAMH3TCXiPTnJuknWSPG7VlAMAAMCKmnLAa60duioLAQAAYOVM5zYJOyxtXmvtutGUAwAAwIqazhDNa5O0JDVhWuuf1xpZRQOx36mnjbuEnHeYTlcAAFiTTGeI5kOuuFlVWyX5lyRfGXVRAAAATN90bpPwEK21m5K8OsmbRlYNAAAAK2yFA15vxyTrj6IQAAAAVs50LrLylfzmnLukC3a/n+QNoy4KAACA6ZvORVY+MOn9L5Jc3lq7ZoT1AAAAsIKmc5GV01dlIQAAAKyc6QzRXCfJPyU5OMk2SX6a5ENJTmyt/XrVlAewenNLFIDp838nrDrTGaL5liR7JDkyyY+S/HaSf06yUZK/HX1pAAAATMd0At6fJdm1tbaof/+9qrosyeUR8AAAAMZuOrdJqGlOBwAAYAZNJ+B9PMn/q6rnVtUTq2q/JJ/qpwMAADBm0xmi+ffpLrLy7nQXWbkhyUeTnLAK6gIAAGCaltuDV1V7VtVJrbVft9Ze11p7fGtt/dbaE5Ksm+Qpq75MAAAAlmcqQzT/MclFS5l3YZLjRlcOAAAAK2oqAW+3JOctZd4FSf5gZNUAAACwwqYS8DZK8silzFsnyYajKwcAAIAVNZWAd3WSfZcyb99+PgAAAGM2latonpzkfVW1VpJPtdYeqKpHJHlBuitq/q9VWB8AAABTtNyA11r7SFVtleT0JOtW1S1JNk/yqyT/0lr76CquEQAAgCmY0n3wWmtvraoPJHl6ks2SLEpySWvtjlVZHAAAAFM35Rud92HuP1dhLQAAAKyEqVxkBQAAgFlAwAMAABgIAQ8AAGAgBDwAAICBEPAAAAAGQsADAAAYCAEPAABgIKZ8HzzWTPu/8MRxl5A8f5txVwAAALOCHjwAAICBEPAAAAAGQsADAAAYCAEPAABgIAQ8AACAgRDwAAAABsJtEmAGue0EAACrkh48AACAgRDwAAAABkLAAwAAGAgBDwAAYCBmJOBV1eOq6sKq+m5Vfaeqju6nP6aqPl9V1/TPm85EPQAAAEM0Uz149yX5u9baTkmeluRVVbVTkmOTfKG19oQkX+jfAwAAsAJmJOC11m5srV3Wv74zyVVJtk1yQJLT+8VOT/KCmagHAABgiGb8HLyqmpPkyUm+nmTL1tqN/aybkmy5lHWOqKp5VTVv4cKFM1MoAADALDOjAa+qNkjyiSSvbq3dMXFea60laUtar7X2/tba3Nba3C222GIGKgUAAJh9ZizgVdU66cLdma21T/aTf1ZVW/fzt05y80zVAwAAMDQzdRXNSnJqkqtaa2+dMOszSV7Wv35Zkk/PRD0AAABDtPYM7WfPJAcnuaKq5vfT/jHJm5P8e1UdluRHSf58huoBAAAYnBkJeK21i5PUUmb/8UzUAAAAMHQzfhVNAAAAVo2ZGqIJADBr7XfqaeMuIecddui4SwBmAT14AAAAAyHgAQAADISABwAAMBACHgAAwEAIeAAAAAMh4AEAAAyEgAcAADAQAh4AAMBACHgAAAADIeABAAAMhIAHAAAwEAIeAADAQAh4AAAAAyHgAQAADISABwAAMBACHgAAwEAIeAAAAAMh4AEAAAyEgAcAADAQAh4AAMBACHgAAAADIeABAAAMhIAHAAAwEAIeAADAQAh4AAAAAyHgAQAADISABwAAMBACHgAAwEAIeAAAAAMh4AEAAAyEgAcAADAQAh4AAMBACHgAAAADIeABAAAMhIAHAAAwEAIeAADAQAh4AAAAAyHgAQAADISABwAAMBACHgAAwEAIeAAAAAMh4AEAAAyEgAcAADAQAh4AAMBACHgAAAADIeABAAAMhIAHAAAwEAIeAADAQAh4AAAAAyHgAQAADISABwAAMBACHgAAwEAIeAAAAAMh4AEAAAyEgAcAADAQAh4AAMBACHgAAAADIeABAAAMxNrjLgAAAFgx+5162rhLSJKcd9ih4y5hJFaH9lzZttSDBwAAMBACHgAAwEAIeAAAAAMh4AEAAAzEjAS8qvq3qrq5qq6cMO0xVfX5qrqmf950JmoBAAAYqpnqwftgkv0mTTs2yRdaa09I8oX+PQAAACtoRgJea+2iJLdOmnxAktP716cnecFM1AIAADBU4zwHb8vW2o3965uSbLm0BavqiKqaV1XzFi5cODPVAQAAzDKrxUVWWmstSVvG/Pe31ua21uZuscUWM1gZAADA7DHOgPezqto6Sfrnm8dYCwAAwKw3zoD3mSQv61+/LMmnx1gLAADArDdTt0n4aJJLkuxYVddX1WFJ3pzkOVV1TZJn9+8BAABYQWvPxE5aa3+xlFl/PBP7BwAAWBOsFhdZAQAAYOUJeAAAAAMh4AEAAAyEgAcAADAQAh4AAMBACHgAAAADIeABAAAMhIAHAAAwEAIeAADAQAh4AAAAAyHgAQAADISABwAAMBACHgAAwEAIeAAAAAMh4AEAAAyEgAcAADAQAh4AAMBACHgAAAADIeABAAAMhIAHAAAwEAIeAADAQAh4AAAAAyHgAQAADISABwAAMBACHgAAwEAIeAAAAAMh4AEAAAyEgAcAADAQAh4AAMBACHgAAAADIeABAAAMhIAHAAAwEAIeAADAQAh4AAAAAyHgAQAADISABwAAMBACHgAAwEAIeAAAAAMh4AEAAAyEgAcAADAQAh4AAMBACHgAAAADIeABAAAMhIAHAAAwEAIeAADAQAh4AAAAAyHgAQAADISABwAAMBACHgAAwEAIeAAAAAMh4AEAAAyEgAcAADAQAh4AAMBACHgAAAADIeABAAAMhIAHAAAwEAIeAADAQAh4AAAAAyHgAQAADISABwAAMBACHgAAwEAIeAAAAAMh4AEAAAyEgAcAADAQAh4AAMBAjD3gVdV+VfW9qrq2qo4ddz0AAACz1VgDXlWtleTdSZ6XZKckf1FVO42zJgAAgNlq3D14eyS5trV2XWvt10k+luSAMdcEAAAwK1VrbXw7rzooyX6ttcP79wcneWpr7ahJyx2R5Ij+7Y5Jvjejha6YzZPcMu4iBkJbjpb2HC3tOTracrS052hpz9HSnqOjLUdrtrTnb7fWtljSjLVnupIV0Vp7f5L3j7uO6aiqea21ueOuYwi05Whpz9HSnqOjLUdLe46W9hwt7Tk62nK0htCe4x6ieUOSx014v10/DQAAgGkad8C7NMkTqmr7qnpkkhcl+cyYawIAAJiVxjpEs7V2X1UdleQ/k6yV5N9aa98ZZ00jNKuGlK7mtOVoac/R0p6joy1HS3uOlvYcLe05OtpytGZ9e471IisAAACMzriHaAIAADAiAh4AAMBACHhTVFWPq6oLq+q7VfWdqjq6n/6Yqvp8VV3TP2/aT6+qekdVXVtV366qp0zY1lv6bVzVL1PjOq5xGXF7nlRVV/aP/zGuYxqXFWjL36uqS6rqV1X1mknb2q+qvte387HjOJ5xG3F7/ltV3VxVV47jWFYHo2rPpW1nTTLCtlyvqr5RVZf323n9uI5pnEb5Xe/nr1VV36qqc2f6WFYHI/6/c0FVXVFV86tq3jiOZ5xG3JabVNXZVXV1db93Pn0cxzROI/y/c8f+M7n4cUdVvXpMh7VsrTWPKTySbJ3kKf3rDZN8P8lOSd6S5Nh++rFJTupf75/kP5JUkqcl+Xo//Q+TfDXdRWXWSnJJkn3GfXyzuD3/JMnn010w6NHprsy60biPbzVvy8cm2T3JiUleM2E7ayX5QZIdkjwyyeVJdhr38c3W9uzn7ZXkKUmuHPdxzfb2XNp2xn18s7QtK8kG/et1knw9ydPGfXyztT0nbO9/JflIknPHfWyzvT2TLEiy+biPaSBteXqSw/vXj0yyybiPbza354RtrpXkpnQ3Gx/7MU5+6MGbotbaja21y/rXdya5Ksm2SQ5I9+VJ//yC/vUBSc5ona8l2aSqtk7SkqyX7ku2brofrj+bqeNYXYywPXdKclFr7b7W2i+SfDvJfjN3JOM33bZsrd3cWrs0yb2TNrVHkmtba9e11n6d5GP9NtYoI2zPtNYuSnLrDJS92hpVey5jO2uMEbZla63d1b9dp3+scVdcG+V3vaq2S/cHxw+s+spXT6NszzXdqNqyqjZO94fGU/vlft1au30GDmG1soo+m3+c5AettR+tqrpXhoC3AqpqTpInp/ur55attRv7WTcl2bJ/vW2Sn0xY7fok27bWLklyYZIb+8d/ttaumom6V1cr057pepn2q6r1q2rzJH+U5HEzUffqaIptuTRLa+M11kq2J5OMqj0nbWeNtLJt2Q8nnJ/k5iSfb62tsW2ZjOSz+bYkf5/kgVVR32wzgvZsSc6vqm9W1RGrpsrZYSXbcvskC5Oc1g8f/kBVPXqVFTsLjPDn+ouSfHS01Y2OgDdNVbVBkk8keXVr7Y6J81rXZ7vMv4JW1eOTPDHJdul+eX5WVT1zFZW72lvZ9mytnZ/kc0n+K90X7ZIk96+aaldvK9uWPJT2HK1RteeytrOmGEVbttbub63tlu5n0R5VtfOqqHU2GMHP9ecnubm19s1VV+XsMaLv+jNaa09J8rwkr6qqvUZf6epvBG25drrTBN7bWntykl+kG4q4Rhrhz6FHJvnTJB8feZEjIuBNQ1Wtk+6DcWZr7ZP95J/1QwXTP9/cT78hD+1J2q6f9sIkX2ut3dUPkfmPJGvcCa/JyNozrbUTW2u7tdaek+7cku/PRP2rk2m25dIstY3XNCNqT3qjas+lbGeNMurPZj9c68KsYUPbFxtRe+6Z5E+rakG6oe3PqqoPr6KSV2uj+ny21hb/fL85yTnpTiFYo4yoLa9Pcv2EHvqz0wW+Nc6I/+98XpLLWmur7SlWAt4UVVWlG8N8VWvtrRNmfSbJy/rXL0vy6QnT/7I6T0vy874b+MdJ9q6qtfsP297pxgKvUUbVnv0wo836be6SZJck58/IQawmVqAtl+bSJE+oqu37v069qN/GGmWE7UlG157L2M4aY4RtuUVVbdK/flSS5yS5euQFr+ZG1Z6ttX9orW3XWpuT7v/NL7bWXroKSl6tjfDz+eiq2nDx6yT7JlmjrkQ8ws/mTUl+UlU79pP+OMl3R1zuam8V/Fz/i6zGwzOTuIrmVB9JnpGu6/bbSeb3j/2TbJbkC0muSXJBksf0y1eSd6e7KuEVSea231x1533pQt13k7x13Mc2y9tzvb4dv5vka0l2G/exzYK23CrdX/XuSHJ7/3qjft7+6XpAf5DkuHEf2wDa86PpzrW9t59+2LiPb7a259K2M+7jm6VtuUuSb/XbuTLJ68Z9bLO5PSdtc5+suVfRHNXnc4d059dfnuQ7WQN/Fo3ys5lktyTz+m19Ksmm4z6+Wd6ej06yKMnG4z6uZT2qLxYAAIBZzhBNAACAgRDwAAAABkLAAwAAGAgBDwAAYCAEPAAAgIEQ8AAAAAZCwAMAABgIAQ8AAGAgBDwABq+qXltVN1TVnVX1var646p6RFUdW1U/qKpFVfXvVfWYCet8vKpuqqqfV9VFVfX7E+btX1Xf7bd3Q1W9ZsK8v6qqa6vq1qr6TFVtM2Feq6ojq+qaqrq9qt5dVTVzLQHA0Al4AAxaVe2Y5Kgku7fWNkzy3CQLkvxNkhck2TvJNkluS/LuCav+R5InJHlsksuSnDlh3qlJ/rrf3s5Jvtjv61lJ3pTkz5NsneRHST42qaTnJ9k9yS79cs8dyYECQJJqrY27BgBYZarq8Un+K8mLk3y5tXZvP/2qJEe11r7Qv986yY+TPKq1dt+kbWySLgBu0lr7eVX9OMmJST7aWrtjwnKnJlnUWvv7/v0G/XpPaK0tqKqW5JmttYv7+f+e5LLW2ptXXQsAsCbRgwfAoLXWrk3y6iTHJ7m5qj7WD5v87STn9EMlb09yVZL7k2xZVWtV1Zv74Zt3pOvxS5LN++cDk+yf5EdV9eWqeno/fZt0vXaL931XkkVJtp1Q0k0TXt+dZINRHSsACHgADF5r7SOttWekC3UtyUlJfpLkea21TSY81mut3ZCut++AJM9OsnGSOf2mqt/epa21A9IN3/xUkn/v5/+030e3cNWjk2yW5IZVe4QA0BHwABi0qtqxqp5VVesmuSfJL5M8kOSUJCdW1W/3y21RVQf0q22Y5Ffpet/WT/LGCdt7ZFW9pKo27od73tFvL0k+muTQqtqt398bk3y9tbZglR8oAETAA2D41k3y5iS3pBse+dgk/5Dk7Uk+k+T8qrozydeSPLVf54x0Qy1vSPLdft5EBydZ0A/fPDLJS5KktXZBkn9O8okkNyb5nSQvWlUHBgCTucgKAADAQOjBAwAAGAgBDwAAYCAEPAAAgIEQ8AAAAAZCwAMAABgIAQ8AAGAgBDwAAICBEPAAAAAG4v8H6ijyoFzbVxwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,7))\n",
    "sns.countplot(x='season',\n",
    "              hue='toss_decision',\n",
    "              data=ipl,\n",
    "              order = ipl['season'].value_counts().index.sort_values(),\n",
    "              palette='mako')\n",
    "plt.xlabel('season',fontsize=12)\n",
    "plt.ylabel('Count',fontsize=12)\n",
    "plt.title('Decision to field or bat in each IPL season', fontsize=16)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8896e159",
   "metadata": {},
   "source": [
    "# #Most Player of the match awards"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "4f6b51a9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 792x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Most Player of match awards\n",
    "plt.figure(figsize =(11,5))\n",
    "x = ipl['player_of_match'].value_counts()[0:10]\n",
    "plt.bar(list(ipl['player_of_match'].value_counts()[0:10].keys()),list(ipl['player_of_match'].value_counts()[0:10]),width=0.5,color=[\"red\",\"purple\",\"orange\",\"red\",\"blue\",\"yellow\",\"yellow\",\"purple\",\"hotpink\",\"yellow\"])\n",
    "plt.ylabel('Count')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c174c396",
   "metadata": {},
   "outputs": [],
   "source": [
    "home_away_data = pd.read_csv('teamwise_home_and_away.csv')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "fa165d6d",
   "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>team</th>\n",
       "      <th>home_wins</th>\n",
       "      <th>away_wins</th>\n",
       "      <th>home_matches</th>\n",
       "      <th>away_matches</th>\n",
       "      <th>home_win_percentage</th>\n",
       "      <th>away_win_percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>58</td>\n",
       "      <td>51</td>\n",
       "      <td>101</td>\n",
       "      <td>86</td>\n",
       "      <td>57.425743</td>\n",
       "      <td>59.302326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>51</td>\n",
       "      <td>49</td>\n",
       "      <td>89</td>\n",
       "      <td>75</td>\n",
       "      <td>57.303371</td>\n",
       "      <td>65.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Rajasthan Royals</td>\n",
       "      <td>29</td>\n",
       "      <td>46</td>\n",
       "      <td>67</td>\n",
       "      <td>80</td>\n",
       "      <td>43.283582</td>\n",
       "      <td>57.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>38</td>\n",
       "      <td>44</td>\n",
       "      <td>91</td>\n",
       "      <td>85</td>\n",
       "      <td>41.758242</td>\n",
       "      <td>51.764706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>35</td>\n",
       "      <td>49</td>\n",
       "      <td>85</td>\n",
       "      <td>95</td>\n",
       "      <td>41.176471</td>\n",
       "      <td>51.578947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>34</td>\n",
       "      <td>58</td>\n",
       "      <td>83</td>\n",
       "      <td>95</td>\n",
       "      <td>40.963855</td>\n",
       "      <td>61.052632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Kochi Tuskers Kerala</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>28.571429</td>\n",
       "      <td>57.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>14</td>\n",
       "      <td>16</td>\n",
       "      <td>7.142857</td>\n",
       "      <td>75.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Delhi_Capitals</td>\n",
       "      <td>28</td>\n",
       "      <td>49</td>\n",
       "      <td>78</td>\n",
       "      <td>99</td>\n",
       "      <td>42.361110</td>\n",
       "      <td>58.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>48</td>\n",
       "      <td>39</td>\n",
       "      <td>106</td>\n",
       "      <td>77</td>\n",
       "      <td>44.730000</td>\n",
       "      <td>48.290000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Rising Pune Supergiants</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>28</td>\n",
       "      <td>34</td>\n",
       "      <td>39.280000</td>\n",
       "      <td>32.350000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           team home_wins away_wins home_matches away_matches  \\\n",
       "1                Mumbai Indians        58        51          101           86   \n",
       "2           Chennai Super Kings        51        49           89           75   \n",
       "5              Rajasthan Royals        29        46           67           80   \n",
       "7               Kings XI Punjab        38        44           91           85   \n",
       "8   Royal Challengers Bangalore        35        49           85           95   \n",
       "9         Kolkata Knight Riders        34        58           83           95   \n",
       "12         Kochi Tuskers Kerala         2         4            7            7   \n",
       "13                Gujarat Lions         1        12           14           16   \n",
       "14               Delhi_Capitals        28        49           78           99   \n",
       "15          Sunrisers Hyderabad        48        39          106           77   \n",
       "16      Rising Pune Supergiants        11        11           28           34   \n",
       "\n",
       "    home_win_percentage  away_win_percentage  \n",
       "1             57.425743            59.302326  \n",
       "2             57.303371            65.333333  \n",
       "5             43.283582            57.500000  \n",
       "7             41.758242            51.764706  \n",
       "8             41.176471            51.578947  \n",
       "9             40.963855            61.052632  \n",
       "12            28.571429            57.142857  \n",
       "13             7.142857            75.000000  \n",
       "14            42.361110            58.500000  \n",
       "15            44.730000            48.290000  \n",
       "16            39.280000            32.350000  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "home_away_data=home_away_data.append({\"team\":\"Delhi_Capitals\",\"home_wins\":\"28\",\"away_wins\":\"49\",\"home_matches\":\"78\",\"away_matches\":\"99\",\n",
    "                \"home_win_percentage\":\"42.36111\",\"away_win_percentage\":\"58.50000\"},ignore_index=True)\n",
    "\n",
    "home_away_data=home_away_data.append({\"team\":\"Sunrisers Hyderabad\",\"home_wins\":\"48\",\"away_wins\":\"39\",\"home_matches\":\"106\",\"away_matches\":\"77\",\n",
    "                \"home_win_percentage\":\"44.73\",\"away_win_percentage\":\"48.29\"},ignore_index=True)\n",
    "home_away_data=home_away_data.append({\"team\":\"Rising Pune Supergiants\",\"home_wins\":\"11\",\"away_wins\":\"11\",\"home_matches\":\"28\",\"away_matches\":\"34\",\n",
    "                \"home_win_percentage\":\"39.28\",\"away_win_percentage\":\"32.35\"},ignore_index=True)\n",
    "home_away_data.drop([0,3,4,6,10,11],axis=0,inplace=True)\n",
    "home_away_data['home_win_percentage']=home_away_data['home_win_percentage'].astype('float')\n",
    "home_away_data['away_win_percentage']=home_away_data['away_win_percentage'].astype('float')\n",
    "home_away_data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d3393363",
   "metadata": {},
   "source": [
    "# #Most successful team in home condition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "06156a15",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='team'>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1440x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "home_wins=home_away_data[['team','home_win_percentage']]\n",
    "home_wins.sort_values('home_win_percentage',ascending=False)\n",
    "plt.figure(figsize=(20,5))\n",
    "home_wins.sort_values('home_win_percentage',ascending=False).plot.bar(x='team',y='home_win_percentage')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a775dc3",
   "metadata": {},
   "source": [
    "# #Most successful team in away condition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "4458efb0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='team'>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "away_wins=home_away_data[['team','away_win_percentage']]\n",
    "away_wins.sort_values('away_win_percentage',ascending=False)\n",
    "away_wins.sort_values('away_win_percentage',ascending=False).plot.bar(x='team',y='away_win_percentage')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}