Pandas.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1 style=\"color:red\">What is pandas</h1>\n",
    "<p>Pandas is an open source library in python used mainly for the purpose of data analysis, data manipulation and data exploration</p>\n",
    "\n",
    "<p><i>[pandas] is derived from the term \"panel data\", an econometrics term for data sets that include observations over multiple time periods for the same individuals. — Wikipedia</i></p>\n",
    "\n",
    "<img src=\"https://encrypted-tbn0.gstatic.com/images?q=tbn%3AANd9GcShYvd6EGuSC3rbnEC0S-uyyVJdeuBDJnB8oUoKzeVXgj_Rx34A\"/>\n",
    "\n",
    "<p>The readme in the official pandas github repository describes pandas as “a Python package providing <b>fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive</b>. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language.</p>\n",
    "\n",
    "<h3>When can I use pandas?</h3>\n",
    "<p>\n",
    "    a. Calculate statistics and answer questions about the data, like<br>\n",
    "        ------- What's the average, median, max, or min of each column?<br>\n",
    "        ------- Does column A correlate with column B?<br>\n",
    "        ------- What does the distribution of data in column C look like?<br>\n",
    "    b. Clean the data by doing things like removing missing values and filtering rows or columns by some criteria<br>\n",
    "    c. Visualize the data with help from Matplotlib. Plot bars, lines, histograms, bubbles, and more.<br>\n",
    "    d. Store the cleaned, transformed data back into a CSV, other file or database<br>\n",
    "</p>\n",
    "\n",
    "<h3>What is so great about Pandas?</h3>\n",
    "<p>\n",
    "    1. It has got tons of functionality to help you in every possible scenario.<br>\n",
    "    2. Kickass documentation<br>\n",
    "    3. Open Source - Active community and active development.<br>\n",
    "    4. Plays well with other libraries like numpy and scikit.learn<br>\n",
    "    \n",
    "    \n",
    "</p>\n",
    "\n",
    "\n",
    "<h3>Pandas Popularity</h3>\n",
    "<img src=\"https://storage.googleapis.com/lds-media/images/the-rise-in-popularity-of-pandas.width-1200.png\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1 style=\"color:red\">Importing Stuff</h1>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1. Import Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2. Import Datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "match=pd.read_csv('matches.csv')\n",
    "delivery=pd.read_csv('deliveries.csv')\n",
    "company=pd.read_csv('Fortune501.csv')\n",
    "titanic=pd.read_csv('titanic.csv')\n",
    "food=pd.read_csv('food.csv')"
   ]
  },
  {
   "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>Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>City</th>\n",
       "      <th>Frequency</th>\n",
       "      <th>Item</th>\n",
       "      <th>Spends</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Nitish</td>\n",
       "      <td>M</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Weekly</td>\n",
       "      <td>Burger</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Anu</td>\n",
       "      <td>F</td>\n",
       "      <td>Gurgaon</td>\n",
       "      <td>Daily</td>\n",
       "      <td>Sandwich</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mukku</td>\n",
       "      <td>M</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Once</td>\n",
       "      <td>Vada</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Suri</td>\n",
       "      <td>M</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Monthly</td>\n",
       "      <td>Pizza</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Rajiv</td>\n",
       "      <td>M</td>\n",
       "      <td>Patna</td>\n",
       "      <td>Never</td>\n",
       "      <td>Paneer</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Vandanda</td>\n",
       "      <td>F</td>\n",
       "      <td>Patna</td>\n",
       "      <td>Once</td>\n",
       "      <td>Chicken</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Piyush</td>\n",
       "      <td>M</td>\n",
       "      <td>Ranchi</td>\n",
       "      <td>Never</td>\n",
       "      <td>Chicken</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Radhika</td>\n",
       "      <td>F</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>Monthly</td>\n",
       "      <td>Pizza</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Sunil</td>\n",
       "      <td>M</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>Monthly</td>\n",
       "      <td>Vada</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Madhuri</td>\n",
       "      <td>F</td>\n",
       "      <td>Pune</td>\n",
       "      <td>Daily</td>\n",
       "      <td>Paneer</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Sonal</td>\n",
       "      <td>F</td>\n",
       "      <td>Pune</td>\n",
       "      <td>Monthly</td>\n",
       "      <td>Pizza</td>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Abhay</td>\n",
       "      <td>M</td>\n",
       "      <td>Patna</td>\n",
       "      <td>Daily</td>\n",
       "      <td>Burger</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Vineet</td>\n",
       "      <td>M</td>\n",
       "      <td>Ranchi</td>\n",
       "      <td>Once</td>\n",
       "      <td>Sandwich</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Sumit</td>\n",
       "      <td>M</td>\n",
       "      <td>Gurgaon</td>\n",
       "      <td>Never</td>\n",
       "      <td>Sandwich</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Ranbir</td>\n",
       "      <td>M</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>Weekly</td>\n",
       "      <td>Vada</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Akash</td>\n",
       "      <td>M</td>\n",
       "      <td>Chennai</td>\n",
       "      <td>Monthly</td>\n",
       "      <td>Paneer</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Pooja</td>\n",
       "      <td>F</td>\n",
       "      <td>Chennai</td>\n",
       "      <td>Daily</td>\n",
       "      <td>Pizza</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Neha</td>\n",
       "      <td>F</td>\n",
       "      <td>Pune</td>\n",
       "      <td>Never</td>\n",
       "      <td>Pizza</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Aditya</td>\n",
       "      <td>M</td>\n",
       "      <td>Gurgaon</td>\n",
       "      <td>Once</td>\n",
       "      <td>Sandwich</td>\n",
       "      <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Gaurav</td>\n",
       "      <td>M</td>\n",
       "      <td>Patna</td>\n",
       "      <td>Monthly</td>\n",
       "      <td>Vada</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Jagriti</td>\n",
       "      <td>F</td>\n",
       "      <td>Patna</td>\n",
       "      <td>Weekly</td>\n",
       "      <td>Burger</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Dipti</td>\n",
       "      <td>F</td>\n",
       "      <td>Patna</td>\n",
       "      <td>Weekly</td>\n",
       "      <td>Burger</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Vinay</td>\n",
       "      <td>M</td>\n",
       "      <td>Patna</td>\n",
       "      <td>Monthly</td>\n",
       "      <td>Burger</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Ankit</td>\n",
       "      <td>M</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>Daily</td>\n",
       "      <td>Paneer</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Anjani</td>\n",
       "      <td>F</td>\n",
       "      <td>Pune</td>\n",
       "      <td>Never</td>\n",
       "      <td>Pizza</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Sphira</td>\n",
       "      <td>F</td>\n",
       "      <td>Pune</td>\n",
       "      <td>Once</td>\n",
       "      <td>Vada</td>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Sam</td>\n",
       "      <td>M</td>\n",
       "      <td>Ranchi</td>\n",
       "      <td>Never</td>\n",
       "      <td>Vada</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Vinish</td>\n",
       "      <td>M</td>\n",
       "      <td>Ranchi</td>\n",
       "      <td>Once</td>\n",
       "      <td>Sandwich</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Ritika</td>\n",
       "      <td>F</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Monthly</td>\n",
       "      <td>Burger</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Chandu</td>\n",
       "      <td>M</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Daily</td>\n",
       "      <td>Sandwich</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Bijurika</td>\n",
       "      <td>F</td>\n",
       "      <td>Ranchi</td>\n",
       "      <td>Weekly</td>\n",
       "      <td>Pizza</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Deepanita</td>\n",
       "      <td>F</td>\n",
       "      <td>Pune</td>\n",
       "      <td>Never</td>\n",
       "      <td>Paneer</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Sourav</td>\n",
       "      <td>M</td>\n",
       "      <td>Gurgaon</td>\n",
       "      <td>Once</td>\n",
       "      <td>Sandwich</td>\n",
       "      <td>97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Suti</td>\n",
       "      <td>M</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Monthly</td>\n",
       "      <td>Vada</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Manu</td>\n",
       "      <td>M</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Daily</td>\n",
       "      <td>Vada</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Nishu</td>\n",
       "      <td>F</td>\n",
       "      <td>Patna</td>\n",
       "      <td>Weekly</td>\n",
       "      <td>Sandwich</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Komal</td>\n",
       "      <td>F</td>\n",
       "      <td>Pune</td>\n",
       "      <td>Daily</td>\n",
       "      <td>Paneer</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Sachin</td>\n",
       "      <td>M</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>Daily</td>\n",
       "      <td>Pizza</td>\n",
       "      <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Rahul</td>\n",
       "      <td>M</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>Weekly</td>\n",
       "      <td>Burger</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Amit</td>\n",
       "      <td>M</td>\n",
       "      <td>Chennai</td>\n",
       "      <td>Monthly</td>\n",
       "      <td>Sandwich</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Rohit</td>\n",
       "      <td>M</td>\n",
       "      <td>Chennai</td>\n",
       "      <td>Once</td>\n",
       "      <td>Pizza</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Vidit</td>\n",
       "      <td>M</td>\n",
       "      <td>Pune</td>\n",
       "      <td>Once</td>\n",
       "      <td>Paneer</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Sunaina</td>\n",
       "      <td>F</td>\n",
       "      <td>Chennai</td>\n",
       "      <td>Once</td>\n",
       "      <td>Vada</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Akriti</td>\n",
       "      <td>F</td>\n",
       "      <td>Gurgaon</td>\n",
       "      <td>Monthly</td>\n",
       "      <td>Vada</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Sangeeta</td>\n",
       "      <td>F</td>\n",
       "      <td>Chennai</td>\n",
       "      <td>Weekly</td>\n",
       "      <td>Sandwich</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Meenal</td>\n",
       "      <td>F</td>\n",
       "      <td>Pune</td>\n",
       "      <td>Monthly</td>\n",
       "      <td>Pizza</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Akshay</td>\n",
       "      <td>M</td>\n",
       "      <td>Ranchi</td>\n",
       "      <td>Daily</td>\n",
       "      <td>Paneer</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Gurpreet</td>\n",
       "      <td>M</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Never</td>\n",
       "      <td>Pizza</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Kishore</td>\n",
       "      <td>M</td>\n",
       "      <td>Gurgaon</td>\n",
       "      <td>Never</td>\n",
       "      <td>Vada</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Jaideep</td>\n",
       "      <td>M</td>\n",
       "      <td>Chennai</td>\n",
       "      <td>Once</td>\n",
       "      <td>Burger</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Name Gender     City Frequency      Item  Spends\n",
       "0      Nitish      M  Kolkata    Weekly    Burger      11\n",
       "1         Anu      F  Gurgaon     Daily  Sandwich      14\n",
       "2       Mukku      M  Kolkata      Once      Vada      25\n",
       "3        Suri      M  Kolkata   Monthly     Pizza      56\n",
       "4       Rajiv      M    Patna     Never    Paneer      34\n",
       "5    Vandanda      F    Patna      Once   Chicken      23\n",
       "6      Piyush      M   Ranchi     Never   Chicken      67\n",
       "7     Radhika      F   Mumbai   Monthly     Pizza      43\n",
       "8       Sunil      M   Mumbai   Monthly      Vada      34\n",
       "9     Madhuri      F     Pune     Daily    Paneer      66\n",
       "10      Sonal      F     Pune   Monthly     Pizza      89\n",
       "11      Abhay      M    Patna     Daily    Burger      65\n",
       "12     Vineet      M   Ranchi      Once  Sandwich      34\n",
       "13      Sumit      M  Gurgaon     Never  Sandwich      34\n",
       "14     Ranbir      M   Mumbai    Weekly      Vada      55\n",
       "15      Akash      M  Chennai   Monthly    Paneer      67\n",
       "16      Pooja      F  Chennai     Daily     Pizza      34\n",
       "17       Neha      F     Pune     Never     Pizza      88\n",
       "18     Aditya      M  Gurgaon      Once  Sandwich      99\n",
       "19     Gaurav      M    Patna   Monthly      Vada      65\n",
       "20    Jagriti      F    Patna    Weekly    Burger      45\n",
       "21      Dipti      F    Patna    Weekly    Burger      76\n",
       "22      Vinay      M    Patna   Monthly    Burger      48\n",
       "23      Ankit      M   Mumbai     Daily    Paneer      38\n",
       "24     Anjani      F     Pune     Never     Pizza      27\n",
       "25     Sphira      F     Pune      Once      Vada      84\n",
       "26        Sam      M   Ranchi     Never      Vada      85\n",
       "27     Vinish      M   Ranchi      Once  Sandwich      74\n",
       "28     Ritika      F  Kolkata   Monthly    Burger      63\n",
       "29     Chandu      M  Kolkata     Daily  Sandwich      54\n",
       "30   Bijurika      F   Ranchi    Weekly     Pizza      90\n",
       "31  Deepanita      F     Pune     Never    Paneer      42\n",
       "32     Sourav      M  Gurgaon      Once  Sandwich      97\n",
       "33       Suti      M  Kolkata   Monthly      Vada      86\n",
       "34       Manu      M  Kolkata     Daily      Vada      56\n",
       "35      Nishu      F    Patna    Weekly  Sandwich      66\n",
       "36      Komal      F     Pune     Daily    Paneer      77\n",
       "37     Sachin      M   Mumbai     Daily     Pizza      99\n",
       "38      Rahul      M   Mumbai    Weekly    Burger      21\n",
       "39       Amit      M  Chennai   Monthly  Sandwich      43\n",
       "40      Rohit      M  Chennai      Once     Pizza      54\n",
       "41      Vidit      M     Pune      Once    Paneer      78\n",
       "42    Sunaina      F  Chennai      Once      Vada      23\n",
       "43     Akriti      F  Gurgaon   Monthly      Vada      86\n",
       "44   Sangeeta      F  Chennai    Weekly  Sandwich      43\n",
       "45     Meenal      F     Pune   Monthly     Pizza      67\n",
       "46     Akshay      M   Ranchi     Daily    Paneer      32\n",
       "47   Gurpreet      M  Kolkata     Never     Pizza      56\n",
       "48    Kishore      M  Gurgaon     Never      Vada      22\n",
       "49    Jaideep      M  Chennai      Once    Burger      44"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "food"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1 style=\"color:red\">Series and Dataframes</h1>\n",
    "\n",
    "<img src=\"https://encrypted-tbn0.gstatic.com/images?q=tbn%3AANd9GcRK5vl7PcWTN02CXdNczGUYxwtuJRwuAueqfhzzca4Jq6RjH2CZ\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1. The Shape attribute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(891, 12)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "titanic.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(150460, 21)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "delivery.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(636, 18)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "match.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2. The columns attribute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['PassengerId', 'Survived', 'Pclass', 'Name', 'Sex', 'Age', 'SibSp',\n",
       "       'Parch', 'Ticket', 'Fare', 'Cabin', 'Embarked'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "titanic.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3. The head() and tail() method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Ticket</th>\n",
       "      <th>Fare</th>\n",
       "      <th>Cabin</th>\n",
       "      <th>Embarked</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Braund, Mr. Owen Harris</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>A/5 21171</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17599</td>\n",
       "      <td>71.2833</td>\n",
       "      <td>C85</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Heikkinen, Miss. Laina</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>STON/O2. 3101282</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
       "      <td>female</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>113803</td>\n",
       "      <td>53.1000</td>\n",
       "      <td>C123</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Allen, Mr. William Henry</td>\n",
       "      <td>male</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>373450</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   PassengerId  Survived  Pclass  \\\n",
       "0            1         0       3   \n",
       "1            2         1       1   \n",
       "2            3         1       3   \n",
       "3            4         1       1   \n",
       "4            5         0       3   \n",
       "\n",
       "                                                Name     Sex   Age  SibSp  \\\n",
       "0                            Braund, Mr. Owen Harris    male  22.0      1   \n",
       "1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n",
       "2                             Heikkinen, Miss. Laina  female  26.0      0   \n",
       "3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n",
       "4                           Allen, Mr. William Henry    male  35.0      0   \n",
       "\n",
       "   Parch            Ticket     Fare Cabin Embarked  \n",
       "0      0         A/5 21171   7.2500   NaN        S  \n",
       "1      0          PC 17599  71.2833   C85        C  \n",
       "2      0  STON/O2. 3101282   7.9250   NaN        S  \n",
       "3      0            113803  53.1000  C123        S  \n",
       "4      0            373450   8.0500   NaN        S  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "titanic.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Ticket</th>\n",
       "      <th>Fare</th>\n",
       "      <th>Cabin</th>\n",
       "      <th>Embarked</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>886</th>\n",
       "      <td>887</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Montvila, Rev. Juozas</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>211536</td>\n",
       "      <td>13.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>887</th>\n",
       "      <td>888</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Graham, Miss. Margaret Edith</td>\n",
       "      <td>female</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>112053</td>\n",
       "      <td>30.00</td>\n",
       "      <td>B42</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>888</th>\n",
       "      <td>889</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Johnston, Miss. Catherine Helen \"Carrie\"</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>W./C. 6607</td>\n",
       "      <td>23.45</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>889</th>\n",
       "      <td>890</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Behr, Mr. Karl Howell</td>\n",
       "      <td>male</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>111369</td>\n",
       "      <td>30.00</td>\n",
       "      <td>C148</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>890</th>\n",
       "      <td>891</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Dooley, Mr. Patrick</td>\n",
       "      <td>male</td>\n",
       "      <td>32.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>370376</td>\n",
       "      <td>7.75</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     PassengerId  Survived  Pclass                                      Name  \\\n",
       "886          887         0       2                     Montvila, Rev. Juozas   \n",
       "887          888         1       1              Graham, Miss. Margaret Edith   \n",
       "888          889         0       3  Johnston, Miss. Catherine Helen \"Carrie\"   \n",
       "889          890         1       1                     Behr, Mr. Karl Howell   \n",
       "890          891         0       3                       Dooley, Mr. Patrick   \n",
       "\n",
       "        Sex   Age  SibSp  Parch      Ticket   Fare Cabin Embarked  \n",
       "886    male  27.0      0      0      211536  13.00   NaN        S  \n",
       "887  female  19.0      0      0      112053  30.00   B42        S  \n",
       "888  female   NaN      1      2  W./C. 6607  23.45   NaN        S  \n",
       "889    male  26.0      0      0      111369  30.00  C148        C  \n",
       "890    male  32.0      0      0      370376   7.75   NaN        Q  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "titanic.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 4. The info() method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 891 entries, 0 to 890\n",
      "Data columns (total 12 columns):\n",
      "PassengerId    891 non-null int64\n",
      "Survived       891 non-null int64\n",
      "Pclass         891 non-null int64\n",
      "Name           891 non-null object\n",
      "Sex            891 non-null object\n",
      "Age            714 non-null float64\n",
      "SibSp          891 non-null int64\n",
      "Parch          891 non-null int64\n",
      "Ticket         891 non-null object\n",
      "Fare           891 non-null float64\n",
      "Cabin          204 non-null object\n",
      "Embarked       889 non-null object\n",
      "dtypes: float64(2), int64(5), object(5)\n",
      "memory usage: 83.6+ KB\n"
     ]
    }
   ],
   "source": [
    "titanic.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 5. The describe() method"
   ]
  },
  {
   "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>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Fare</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>891.000000</td>\n",
       "      <td>891.000000</td>\n",
       "      <td>891.000000</td>\n",
       "      <td>714.000000</td>\n",
       "      <td>891.000000</td>\n",
       "      <td>891.000000</td>\n",
       "      <td>891.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>446.000000</td>\n",
       "      <td>0.383838</td>\n",
       "      <td>2.308642</td>\n",
       "      <td>29.699118</td>\n",
       "      <td>0.523008</td>\n",
       "      <td>0.381594</td>\n",
       "      <td>32.204208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>257.353842</td>\n",
       "      <td>0.486592</td>\n",
       "      <td>0.836071</td>\n",
       "      <td>14.526497</td>\n",
       "      <td>1.102743</td>\n",
       "      <td>0.806057</td>\n",
       "      <td>49.693429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.420000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>223.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>20.125000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>7.910400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>446.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>14.454200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>668.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>31.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>891.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>512.329200</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       PassengerId    Survived      Pclass         Age       SibSp  \\\n",
       "count   891.000000  891.000000  891.000000  714.000000  891.000000   \n",
       "mean    446.000000    0.383838    2.308642   29.699118    0.523008   \n",
       "std     257.353842    0.486592    0.836071   14.526497    1.102743   \n",
       "min       1.000000    0.000000    1.000000    0.420000    0.000000   \n",
       "25%     223.500000    0.000000    2.000000   20.125000    0.000000   \n",
       "50%     446.000000    0.000000    3.000000   28.000000    0.000000   \n",
       "75%     668.500000    1.000000    3.000000   38.000000    1.000000   \n",
       "max     891.000000    1.000000    3.000000   80.000000    8.000000   \n",
       "\n",
       "            Parch        Fare  \n",
       "count  891.000000  891.000000  \n",
       "mean     0.381594   32.204208  \n",
       "std      0.806057   49.693429  \n",
       "min      0.000000    0.000000  \n",
       "25%      0.000000    7.910400  \n",
       "50%      0.000000   14.454200  \n",
       "75%      0.000000   31.000000  \n",
       "max      6.000000  512.329200  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "titanic.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 6. The nunique/unique() method"
   ]
  },
  {
   "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",
       "      dtype=object)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "match['team1'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "14"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "match['team1'].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                 636\n",
       "season              10\n",
       "city                30\n",
       "date               450\n",
       "team1               14\n",
       "team2               14\n",
       "toss_winner         14\n",
       "toss_decision        2\n",
       "result               3\n",
       "dl_applied           2\n",
       "winner              14\n",
       "win_by_runs         86\n",
       "win_by_wickets      11\n",
       "player_of_match    201\n",
       "venue               35\n",
       "umpire1             44\n",
       "umpire2             45\n",
       "umpire3              0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "match.nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 7. The astype() method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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",
      "id                 636 non-null int64\n",
      "season             636 non-null int64\n",
      "city               629 non-null object\n",
      "date               636 non-null object\n",
      "team1              636 non-null object\n",
      "team2              636 non-null object\n",
      "toss_winner        636 non-null object\n",
      "toss_decision      636 non-null object\n",
      "result             636 non-null object\n",
      "dl_applied         636 non-null category\n",
      "winner             633 non-null object\n",
      "win_by_runs        636 non-null int64\n",
      "win_by_wickets     636 non-null int64\n",
      "player_of_match    633 non-null object\n",
      "venue              636 non-null object\n",
      "umpire1            635 non-null object\n",
      "umpire2            635 non-null object\n",
      "umpire3            0 non-null float64\n",
      "dtypes: category(1), float64(1), int64(4), object(12)\n",
      "memory usage: 85.3+ KB\n"
     ]
    }
   ],
   "source": [
    "match['dl_applied']=match['dl_applied'].astype('category')\n",
    "match.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 8. Extracting one column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      22.0\n",
       "1      38.0\n",
       "2      26.0\n",
       "3      35.0\n",
       "4      35.0\n",
       "5       NaN\n",
       "6      54.0\n",
       "7       2.0\n",
       "8      27.0\n",
       "9      14.0\n",
       "10      4.0\n",
       "11     58.0\n",
       "12     20.0\n",
       "13     39.0\n",
       "14     14.0\n",
       "15     55.0\n",
       "16      2.0\n",
       "17      NaN\n",
       "18     31.0\n",
       "19      NaN\n",
       "20     35.0\n",
       "21     34.0\n",
       "22     15.0\n",
       "23     28.0\n",
       "24      8.0\n",
       "25     38.0\n",
       "26      NaN\n",
       "27     19.0\n",
       "28      NaN\n",
       "29      NaN\n",
       "       ... \n",
       "861    21.0\n",
       "862    48.0\n",
       "863     NaN\n",
       "864    24.0\n",
       "865    42.0\n",
       "866    27.0\n",
       "867    31.0\n",
       "868     NaN\n",
       "869     4.0\n",
       "870    26.0\n",
       "871    47.0\n",
       "872    33.0\n",
       "873    47.0\n",
       "874    28.0\n",
       "875    15.0\n",
       "876    20.0\n",
       "877    19.0\n",
       "878     NaN\n",
       "879    56.0\n",
       "880    25.0\n",
       "881    33.0\n",
       "882    22.0\n",
       "883    28.0\n",
       "884    25.0\n",
       "885    39.0\n",
       "886    27.0\n",
       "887    19.0\n",
       "888     NaN\n",
       "889    26.0\n",
       "890    32.0\n",
       "Name: Age, Length: 891, dtype: float64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "titanic['Age']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 9. Extracting multiple columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3</td>\n",
       "      <td>Braund, Mr. Owen Harris</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
       "      <td>38.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Heikkinen, Miss. Laina</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3</td>\n",
       "      <td>Allen, Mr. William Henry</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3</td>\n",
       "      <td>Moran, Mr. James</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>McCarthy, Mr. Timothy J</td>\n",
       "      <td>54.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>3</td>\n",
       "      <td>Palsson, Master. Gosta Leonard</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>3</td>\n",
       "      <td>Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)</td>\n",
       "      <td>27.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2</td>\n",
       "      <td>Nasser, Mrs. Nicholas (Adele Achem)</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>3</td>\n",
       "      <td>Sandstrom, Miss. Marguerite Rut</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1</td>\n",
       "      <td>Bonnell, Miss. Elizabeth</td>\n",
       "      <td>58.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>3</td>\n",
       "      <td>Saundercock, Mr. William Henry</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>3</td>\n",
       "      <td>Andersson, Mr. Anders Johan</td>\n",
       "      <td>39.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>3</td>\n",
       "      <td>Vestrom, Miss. Hulda Amanda Adolfina</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2</td>\n",
       "      <td>Hewlett, Mrs. (Mary D Kingcome)</td>\n",
       "      <td>55.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>3</td>\n",
       "      <td>Rice, Master. Eugene</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2</td>\n",
       "      <td>Williams, Mr. Charles Eugene</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>3</td>\n",
       "      <td>Vander Planke, Mrs. Julius (Emelia Maria Vande...</td>\n",
       "      <td>31.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>3</td>\n",
       "      <td>Masselmani, Mrs. Fatima</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2</td>\n",
       "      <td>Fynney, Mr. Joseph J</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2</td>\n",
       "      <td>Beesley, Mr. Lawrence</td>\n",
       "      <td>34.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>3</td>\n",
       "      <td>McGowan, Miss. Anna \"Annie\"</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1</td>\n",
       "      <td>Sloper, Mr. William Thompson</td>\n",
       "      <td>28.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>3</td>\n",
       "      <td>Palsson, Miss. Torborg Danira</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>3</td>\n",
       "      <td>Asplund, Mrs. Carl Oscar (Selma Augusta Emilia...</td>\n",
       "      <td>38.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>3</td>\n",
       "      <td>Emir, Mr. Farred Chehab</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1</td>\n",
       "      <td>Fortune, Mr. Charles Alexander</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>3</td>\n",
       "      <td>O'Dwyer, Miss. Ellen \"Nellie\"</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>3</td>\n",
       "      <td>Todoroff, Mr. Lalio</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>861</th>\n",
       "      <td>2</td>\n",
       "      <td>Giles, Mr. Frederick Edward</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>862</th>\n",
       "      <td>1</td>\n",
       "      <td>Swift, Mrs. Frederick Joel (Margaret Welles Ba...</td>\n",
       "      <td>48.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>863</th>\n",
       "      <td>3</td>\n",
       "      <td>Sage, Miss. Dorothy Edith \"Dolly\"</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>864</th>\n",
       "      <td>2</td>\n",
       "      <td>Gill, Mr. John William</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>865</th>\n",
       "      <td>2</td>\n",
       "      <td>Bystrom, Mrs. (Karolina)</td>\n",
       "      <td>42.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>866</th>\n",
       "      <td>2</td>\n",
       "      <td>Duran y More, Miss. Asuncion</td>\n",
       "      <td>27.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>867</th>\n",
       "      <td>1</td>\n",
       "      <td>Roebling, Mr. Washington Augustus II</td>\n",
       "      <td>31.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>868</th>\n",
       "      <td>3</td>\n",
       "      <td>van Melkebeke, Mr. Philemon</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>869</th>\n",
       "      <td>3</td>\n",
       "      <td>Johnson, Master. Harold Theodor</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>870</th>\n",
       "      <td>3</td>\n",
       "      <td>Balkic, Mr. Cerin</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>871</th>\n",
       "      <td>1</td>\n",
       "      <td>Beckwith, Mrs. Richard Leonard (Sallie Monypeny)</td>\n",
       "      <td>47.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>872</th>\n",
       "      <td>1</td>\n",
       "      <td>Carlsson, Mr. Frans Olof</td>\n",
       "      <td>33.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>873</th>\n",
       "      <td>3</td>\n",
       "      <td>Vander Cruyssen, Mr. Victor</td>\n",
       "      <td>47.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>874</th>\n",
       "      <td>2</td>\n",
       "      <td>Abelson, Mrs. Samuel (Hannah Wizosky)</td>\n",
       "      <td>28.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>875</th>\n",
       "      <td>3</td>\n",
       "      <td>Najib, Miss. Adele Kiamie \"Jane\"</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>876</th>\n",
       "      <td>3</td>\n",
       "      <td>Gustafsson, Mr. Alfred Ossian</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>877</th>\n",
       "      <td>3</td>\n",
       "      <td>Petroff, Mr. Nedelio</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>878</th>\n",
       "      <td>3</td>\n",
       "      <td>Laleff, Mr. Kristo</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>879</th>\n",
       "      <td>1</td>\n",
       "      <td>Potter, Mrs. Thomas Jr (Lily Alexenia Wilson)</td>\n",
       "      <td>56.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>880</th>\n",
       "      <td>2</td>\n",
       "      <td>Shelley, Mrs. William (Imanita Parrish Hall)</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>881</th>\n",
       "      <td>3</td>\n",
       "      <td>Markun, Mr. Johann</td>\n",
       "      <td>33.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>882</th>\n",
       "      <td>3</td>\n",
       "      <td>Dahlberg, Miss. Gerda Ulrika</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>883</th>\n",
       "      <td>2</td>\n",
       "      <td>Banfield, Mr. Frederick James</td>\n",
       "      <td>28.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>884</th>\n",
       "      <td>3</td>\n",
       "      <td>Sutehall, Mr. Henry Jr</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>885</th>\n",
       "      <td>3</td>\n",
       "      <td>Rice, Mrs. William (Margaret Norton)</td>\n",
       "      <td>39.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>886</th>\n",
       "      <td>2</td>\n",
       "      <td>Montvila, Rev. Juozas</td>\n",
       "      <td>27.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>887</th>\n",
       "      <td>1</td>\n",
       "      <td>Graham, Miss. Margaret Edith</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>888</th>\n",
       "      <td>3</td>\n",
       "      <td>Johnston, Miss. Catherine Helen \"Carrie\"</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>889</th>\n",
       "      <td>1</td>\n",
       "      <td>Behr, Mr. Karl Howell</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>890</th>\n",
       "      <td>3</td>\n",
       "      <td>Dooley, Mr. Patrick</td>\n",
       "      <td>32.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>891 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Pclass                                               Name   Age\n",
       "0         3                            Braund, Mr. Owen Harris  22.0\n",
       "1         1  Cumings, Mrs. John Bradley (Florence Briggs Th...  38.0\n",
       "2         3                             Heikkinen, Miss. Laina  26.0\n",
       "3         1       Futrelle, Mrs. Jacques Heath (Lily May Peel)  35.0\n",
       "4         3                           Allen, Mr. William Henry  35.0\n",
       "5         3                                   Moran, Mr. James   NaN\n",
       "6         1                            McCarthy, Mr. Timothy J  54.0\n",
       "7         3                     Palsson, Master. Gosta Leonard   2.0\n",
       "8         3  Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)  27.0\n",
       "9         2                Nasser, Mrs. Nicholas (Adele Achem)  14.0\n",
       "10        3                    Sandstrom, Miss. Marguerite Rut   4.0\n",
       "11        1                           Bonnell, Miss. Elizabeth  58.0\n",
       "12        3                     Saundercock, Mr. William Henry  20.0\n",
       "13        3                        Andersson, Mr. Anders Johan  39.0\n",
       "14        3               Vestrom, Miss. Hulda Amanda Adolfina  14.0\n",
       "15        2                   Hewlett, Mrs. (Mary D Kingcome)   55.0\n",
       "16        3                               Rice, Master. Eugene   2.0\n",
       "17        2                       Williams, Mr. Charles Eugene   NaN\n",
       "18        3  Vander Planke, Mrs. Julius (Emelia Maria Vande...  31.0\n",
       "19        3                            Masselmani, Mrs. Fatima   NaN\n",
       "20        2                               Fynney, Mr. Joseph J  35.0\n",
       "21        2                              Beesley, Mr. Lawrence  34.0\n",
       "22        3                        McGowan, Miss. Anna \"Annie\"  15.0\n",
       "23        1                       Sloper, Mr. William Thompson  28.0\n",
       "24        3                      Palsson, Miss. Torborg Danira   8.0\n",
       "25        3  Asplund, Mrs. Carl Oscar (Selma Augusta Emilia...  38.0\n",
       "26        3                            Emir, Mr. Farred Chehab   NaN\n",
       "27        1                     Fortune, Mr. Charles Alexander  19.0\n",
       "28        3                      O'Dwyer, Miss. Ellen \"Nellie\"   NaN\n",
       "29        3                                Todoroff, Mr. Lalio   NaN\n",
       "..      ...                                                ...   ...\n",
       "861       2                        Giles, Mr. Frederick Edward  21.0\n",
       "862       1  Swift, Mrs. Frederick Joel (Margaret Welles Ba...  48.0\n",
       "863       3                  Sage, Miss. Dorothy Edith \"Dolly\"   NaN\n",
       "864       2                             Gill, Mr. John William  24.0\n",
       "865       2                           Bystrom, Mrs. (Karolina)  42.0\n",
       "866       2                       Duran y More, Miss. Asuncion  27.0\n",
       "867       1               Roebling, Mr. Washington Augustus II  31.0\n",
       "868       3                        van Melkebeke, Mr. Philemon   NaN\n",
       "869       3                    Johnson, Master. Harold Theodor   4.0\n",
       "870       3                                  Balkic, Mr. Cerin  26.0\n",
       "871       1   Beckwith, Mrs. Richard Leonard (Sallie Monypeny)  47.0\n",
       "872       1                           Carlsson, Mr. Frans Olof  33.0\n",
       "873       3                        Vander Cruyssen, Mr. Victor  47.0\n",
       "874       2              Abelson, Mrs. Samuel (Hannah Wizosky)  28.0\n",
       "875       3                   Najib, Miss. Adele Kiamie \"Jane\"  15.0\n",
       "876       3                      Gustafsson, Mr. Alfred Ossian  20.0\n",
       "877       3                               Petroff, Mr. Nedelio  19.0\n",
       "878       3                                 Laleff, Mr. Kristo   NaN\n",
       "879       1      Potter, Mrs. Thomas Jr (Lily Alexenia Wilson)  56.0\n",
       "880       2       Shelley, Mrs. William (Imanita Parrish Hall)  25.0\n",
       "881       3                                 Markun, Mr. Johann  33.0\n",
       "882       3                       Dahlberg, Miss. Gerda Ulrika  22.0\n",
       "883       2                      Banfield, Mr. Frederick James  28.0\n",
       "884       3                             Sutehall, Mr. Henry Jr  25.0\n",
       "885       3               Rice, Mrs. William (Margaret Norton)  39.0\n",
       "886       2                              Montvila, Rev. Juozas  27.0\n",
       "887       1                       Graham, Miss. Margaret Edith  19.0\n",
       "888       3           Johnston, Miss. Catherine Helen \"Carrie\"   NaN\n",
       "889       1                              Behr, Mr. Karl Howell  26.0\n",
       "890       3                                Dooley, Mr. Patrick  32.0\n",
       "\n",
       "[891 rows x 3 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "titanic[['Pclass','Name','Age']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 10. Creating a new column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "titanic['Family']=\"None\" #creating a new column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Ticket</th>\n",
       "      <th>Fare</th>\n",
       "      <th>Cabin</th>\n",
       "      <th>Embarked</th>\n",
       "      <th>Family</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Braund, Mr. Owen Harris</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>A/5 21171</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17599</td>\n",
       "      <td>71.2833</td>\n",
       "      <td>C85</td>\n",
       "      <td>C</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   PassengerId  Survived  Pclass  \\\n",
       "0            1         0       3   \n",
       "1            2         1       1   \n",
       "\n",
       "                                                Name     Sex   Age  SibSp  \\\n",
       "0                            Braund, Mr. Owen Harris    male  22.0      1   \n",
       "1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n",
       "\n",
       "   Parch     Ticket     Fare Cabin Embarked Family  \n",
       "0      0  A/5 21171   7.2500   NaN        S   None  \n",
       "1      0   PC 17599  71.2833   C85        C   None  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "titanic.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 11. Extracting one row"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PassengerId                          1\n",
       "Survived                             0\n",
       "Pclass                               3\n",
       "Name           Braund, Mr. Owen Harris\n",
       "Sex                               male\n",
       "Age                                 22\n",
       "SibSp                                1\n",
       "Parch                                0\n",
       "Ticket                       A/5 21171\n",
       "Fare                              7.25\n",
       "Cabin                              NaN\n",
       "Embarked                             S\n",
       "Family                            None\n",
       "Name: 0, dtype: object"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "titanic.iloc[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 12. Extracting multiple rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Ticket</th>\n",
       "      <th>Fare</th>\n",
       "      <th>Cabin</th>\n",
       "      <th>Embarked</th>\n",
       "      <th>Family</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Braund, Mr. Owen Harris</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>A/5 21171</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17599</td>\n",
       "      <td>71.2833</td>\n",
       "      <td>C85</td>\n",
       "      <td>C</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Heikkinen, Miss. Laina</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>STON/O2. 3101282</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   PassengerId  Survived  Pclass  \\\n",
       "0            1         0       3   \n",
       "1            2         1       1   \n",
       "2            3         1       3   \n",
       "\n",
       "                                                Name     Sex   Age  SibSp  \\\n",
       "0                            Braund, Mr. Owen Harris    male  22.0      1   \n",
       "1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n",
       "2                             Heikkinen, Miss. Laina  female  26.0      0   \n",
       "\n",
       "   Parch            Ticket     Fare Cabin Embarked Family  \n",
       "0      0         A/5 21171   7.2500   NaN        S   None  \n",
       "1      0          PC 17599  71.2833   C85        C   None  \n",
       "2      0  STON/O2. 3101282   7.9250   NaN        S   None  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "titanic.iloc[0:3]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 13. Extracting both rows and columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "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>PassengerId</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Braund, Mr. Owen Harris</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>Heikkinen, Miss. Laina</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>Allen, Mr. William Henry</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>McCarthy, Mr. Timothy J</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>3</td>\n",
       "      <td>Sandstrom, Miss. Marguerite Rut</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>Saundercock, Mr. William Henry</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>3</td>\n",
       "      <td>Vestrom, Miss. Hulda Amanda Adolfina</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "      <td>Rice, Master. Eugene</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>Vander Planke, Mrs. Julius (Emelia Maria Vande...</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>2</td>\n",
       "      <td>Fynney, Mr. Joseph J</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>3</td>\n",
       "      <td>McGowan, Miss. Anna \"Annie\"</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25</td>\n",
       "      <td>3</td>\n",
       "      <td>Palsson, Miss. Torborg Danira</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27</td>\n",
       "      <td>3</td>\n",
       "      <td>Emir, Mr. Farred Chehab</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29</td>\n",
       "      <td>3</td>\n",
       "      <td>O'Dwyer, Miss. Ellen \"Nellie\"</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>Uruchurtu, Don. Manuel E</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>33</td>\n",
       "      <td>3</td>\n",
       "      <td>Glynn, Miss. Mary Agatha</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>35</td>\n",
       "      <td>1</td>\n",
       "      <td>Meyer, Mr. Edgar Joseph</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>37</td>\n",
       "      <td>3</td>\n",
       "      <td>Mamee, Mr. Hanna</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>39</td>\n",
       "      <td>3</td>\n",
       "      <td>Vander Planke, Miss. Augusta Maria</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>41</td>\n",
       "      <td>3</td>\n",
       "      <td>Ahlin, Mrs. Johan (Johanna Persdotter Larsson)</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>43</td>\n",
       "      <td>3</td>\n",
       "      <td>Kraeff, Mr. Theodor</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>45</td>\n",
       "      <td>3</td>\n",
       "      <td>Devaney, Miss. Margaret Delia</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>47</td>\n",
       "      <td>3</td>\n",
       "      <td>Lennon, Mr. Denis</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>49</td>\n",
       "      <td>3</td>\n",
       "      <td>Samaan, Mr. Youssef</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>51</td>\n",
       "      <td>3</td>\n",
       "      <td>Panula, Master. Juha Niilo</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>53</td>\n",
       "      <td>1</td>\n",
       "      <td>Harper, Mrs. Henry Sleeper (Myna Haxtun)</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>55</td>\n",
       "      <td>1</td>\n",
       "      <td>Ostby, Mr. Engelhart Cornelius</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>57</td>\n",
       "      <td>2</td>\n",
       "      <td>Rugg, Miss. Emily</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>59</td>\n",
       "      <td>2</td>\n",
       "      <td>West, Miss. Constance Mirium</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>832</th>\n",
       "      <td>833</td>\n",
       "      <td>3</td>\n",
       "      <td>Saad, Mr. Amin</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>834</th>\n",
       "      <td>835</td>\n",
       "      <td>3</td>\n",
       "      <td>Allum, Mr. Owen George</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>836</th>\n",
       "      <td>837</td>\n",
       "      <td>3</td>\n",
       "      <td>Pasic, Mr. Jakob</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>838</th>\n",
       "      <td>839</td>\n",
       "      <td>3</td>\n",
       "      <td>Chip, Mr. Chang</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>840</th>\n",
       "      <td>841</td>\n",
       "      <td>3</td>\n",
       "      <td>Alhomaki, Mr. Ilmari Rudolf</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>842</th>\n",
       "      <td>843</td>\n",
       "      <td>1</td>\n",
       "      <td>Serepeca, Miss. Augusta</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>844</th>\n",
       "      <td>845</td>\n",
       "      <td>3</td>\n",
       "      <td>Culumovic, Mr. Jeso</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>846</th>\n",
       "      <td>847</td>\n",
       "      <td>3</td>\n",
       "      <td>Sage, Mr. Douglas Bullen</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>848</th>\n",
       "      <td>849</td>\n",
       "      <td>2</td>\n",
       "      <td>Harper, Rev. John</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>850</th>\n",
       "      <td>851</td>\n",
       "      <td>3</td>\n",
       "      <td>Andersson, Master. Sigvard Harald Elias</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>852</th>\n",
       "      <td>853</td>\n",
       "      <td>3</td>\n",
       "      <td>Boulos, Miss. Nourelain</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>854</th>\n",
       "      <td>855</td>\n",
       "      <td>2</td>\n",
       "      <td>Carter, Mrs. Ernest Courtenay (Lilian Hughes)</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>856</th>\n",
       "      <td>857</td>\n",
       "      <td>1</td>\n",
       "      <td>Wick, Mrs. George Dennick (Mary Hitchcock)</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>858</th>\n",
       "      <td>859</td>\n",
       "      <td>3</td>\n",
       "      <td>Baclini, Mrs. Solomon (Latifa Qurban)</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>860</th>\n",
       "      <td>861</td>\n",
       "      <td>3</td>\n",
       "      <td>Hansen, Mr. Claus Peter</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>862</th>\n",
       "      <td>863</td>\n",
       "      <td>1</td>\n",
       "      <td>Swift, Mrs. Frederick Joel (Margaret Welles Ba...</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>864</th>\n",
       "      <td>865</td>\n",
       "      <td>2</td>\n",
       "      <td>Gill, Mr. John William</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>866</th>\n",
       "      <td>867</td>\n",
       "      <td>2</td>\n",
       "      <td>Duran y More, Miss. Asuncion</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>868</th>\n",
       "      <td>869</td>\n",
       "      <td>3</td>\n",
       "      <td>van Melkebeke, Mr. Philemon</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>870</th>\n",
       "      <td>871</td>\n",
       "      <td>3</td>\n",
       "      <td>Balkic, Mr. Cerin</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>872</th>\n",
       "      <td>873</td>\n",
       "      <td>1</td>\n",
       "      <td>Carlsson, Mr. Frans Olof</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>874</th>\n",
       "      <td>875</td>\n",
       "      <td>2</td>\n",
       "      <td>Abelson, Mrs. Samuel (Hannah Wizosky)</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>876</th>\n",
       "      <td>877</td>\n",
       "      <td>3</td>\n",
       "      <td>Gustafsson, Mr. Alfred Ossian</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>878</th>\n",
       "      <td>879</td>\n",
       "      <td>3</td>\n",
       "      <td>Laleff, Mr. Kristo</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>880</th>\n",
       "      <td>881</td>\n",
       "      <td>2</td>\n",
       "      <td>Shelley, Mrs. William (Imanita Parrish Hall)</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>882</th>\n",
       "      <td>883</td>\n",
       "      <td>3</td>\n",
       "      <td>Dahlberg, Miss. Gerda Ulrika</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>884</th>\n",
       "      <td>885</td>\n",
       "      <td>3</td>\n",
       "      <td>Sutehall, Mr. Henry Jr</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>886</th>\n",
       "      <td>887</td>\n",
       "      <td>2</td>\n",
       "      <td>Montvila, Rev. Juozas</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>888</th>\n",
       "      <td>889</td>\n",
       "      <td>3</td>\n",
       "      <td>Johnston, Miss. Catherine Helen \"Carrie\"</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>890</th>\n",
       "      <td>891</td>\n",
       "      <td>3</td>\n",
       "      <td>Dooley, Mr. Patrick</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>446 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     PassengerId  Pclass                                               Name  \\\n",
       "0              1       3                            Braund, Mr. Owen Harris   \n",
       "2              3       3                             Heikkinen, Miss. Laina   \n",
       "4              5       3                           Allen, Mr. William Henry   \n",
       "6              7       1                            McCarthy, Mr. Timothy J   \n",
       "8              9       3  Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)   \n",
       "10            11       3                    Sandstrom, Miss. Marguerite Rut   \n",
       "12            13       3                     Saundercock, Mr. William Henry   \n",
       "14            15       3               Vestrom, Miss. Hulda Amanda Adolfina   \n",
       "16            17       3                               Rice, Master. Eugene   \n",
       "18            19       3  Vander Planke, Mrs. Julius (Emelia Maria Vande...   \n",
       "20            21       2                               Fynney, Mr. Joseph J   \n",
       "22            23       3                        McGowan, Miss. Anna \"Annie\"   \n",
       "24            25       3                      Palsson, Miss. Torborg Danira   \n",
       "26            27       3                            Emir, Mr. Farred Chehab   \n",
       "28            29       3                      O'Dwyer, Miss. Ellen \"Nellie\"   \n",
       "30            31       1                           Uruchurtu, Don. Manuel E   \n",
       "32            33       3                           Glynn, Miss. Mary Agatha   \n",
       "34            35       1                            Meyer, Mr. Edgar Joseph   \n",
       "36            37       3                                   Mamee, Mr. Hanna   \n",
       "38            39       3                 Vander Planke, Miss. Augusta Maria   \n",
       "40            41       3     Ahlin, Mrs. Johan (Johanna Persdotter Larsson)   \n",
       "42            43       3                                Kraeff, Mr. Theodor   \n",
       "44            45       3                      Devaney, Miss. Margaret Delia   \n",
       "46            47       3                                  Lennon, Mr. Denis   \n",
       "48            49       3                                Samaan, Mr. Youssef   \n",
       "50            51       3                         Panula, Master. Juha Niilo   \n",
       "52            53       1           Harper, Mrs. Henry Sleeper (Myna Haxtun)   \n",
       "54            55       1                     Ostby, Mr. Engelhart Cornelius   \n",
       "56            57       2                                  Rugg, Miss. Emily   \n",
       "58            59       2                       West, Miss. Constance Mirium   \n",
       "..           ...     ...                                                ...   \n",
       "832          833       3                                     Saad, Mr. Amin   \n",
       "834          835       3                             Allum, Mr. Owen George   \n",
       "836          837       3                                   Pasic, Mr. Jakob   \n",
       "838          839       3                                    Chip, Mr. Chang   \n",
       "840          841       3                        Alhomaki, Mr. Ilmari Rudolf   \n",
       "842          843       1                            Serepeca, Miss. Augusta   \n",
       "844          845       3                                Culumovic, Mr. Jeso   \n",
       "846          847       3                           Sage, Mr. Douglas Bullen   \n",
       "848          849       2                                  Harper, Rev. John   \n",
       "850          851       3            Andersson, Master. Sigvard Harald Elias   \n",
       "852          853       3                            Boulos, Miss. Nourelain   \n",
       "854          855       2      Carter, Mrs. Ernest Courtenay (Lilian Hughes)   \n",
       "856          857       1         Wick, Mrs. George Dennick (Mary Hitchcock)   \n",
       "858          859       3              Baclini, Mrs. Solomon (Latifa Qurban)   \n",
       "860          861       3                            Hansen, Mr. Claus Peter   \n",
       "862          863       1  Swift, Mrs. Frederick Joel (Margaret Welles Ba...   \n",
       "864          865       2                             Gill, Mr. John William   \n",
       "866          867       2                       Duran y More, Miss. Asuncion   \n",
       "868          869       3                        van Melkebeke, Mr. Philemon   \n",
       "870          871       3                                  Balkic, Mr. Cerin   \n",
       "872          873       1                           Carlsson, Mr. Frans Olof   \n",
       "874          875       2              Abelson, Mrs. Samuel (Hannah Wizosky)   \n",
       "876          877       3                      Gustafsson, Mr. Alfred Ossian   \n",
       "878          879       3                                 Laleff, Mr. Kristo   \n",
       "880          881       2       Shelley, Mrs. William (Imanita Parrish Hall)   \n",
       "882          883       3                       Dahlberg, Miss. Gerda Ulrika   \n",
       "884          885       3                             Sutehall, Mr. Henry Jr   \n",
       "886          887       2                              Montvila, Rev. Juozas   \n",
       "888          889       3           Johnston, Miss. Catherine Helen \"Carrie\"   \n",
       "890          891       3                                Dooley, Mr. Patrick   \n",
       "\n",
       "        Sex  \n",
       "0      male  \n",
       "2    female  \n",
       "4      male  \n",
       "6      male  \n",
       "8    female  \n",
       "10   female  \n",
       "12     male  \n",
       "14   female  \n",
       "16     male  \n",
       "18   female  \n",
       "20     male  \n",
       "22   female  \n",
       "24   female  \n",
       "26     male  \n",
       "28   female  \n",
       "30     male  \n",
       "32   female  \n",
       "34     male  \n",
       "36     male  \n",
       "38   female  \n",
       "40   female  \n",
       "42     male  \n",
       "44   female  \n",
       "46     male  \n",
       "48     male  \n",
       "50     male  \n",
       "52   female  \n",
       "54     male  \n",
       "56   female  \n",
       "58   female  \n",
       "..      ...  \n",
       "832    male  \n",
       "834    male  \n",
       "836    male  \n",
       "838    male  \n",
       "840    male  \n",
       "842  female  \n",
       "844    male  \n",
       "846    male  \n",
       "848    male  \n",
       "850    male  \n",
       "852  female  \n",
       "854  female  \n",
       "856  female  \n",
       "858  female  \n",
       "860    male  \n",
       "862  female  \n",
       "864    male  \n",
       "866  female  \n",
       "868    male  \n",
       "870    male  \n",
       "872    male  \n",
       "874  female  \n",
       "876    male  \n",
       "878    male  \n",
       "880  female  \n",
       "882  female  \n",
       "884    male  \n",
       "886    male  \n",
       "888  female  \n",
       "890    male  \n",
       "\n",
       "[446 rows x 4 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "titanic.iloc[::2,[0,2,3,4]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 14. The value_counts() method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CH Gayle          18\n",
       "YK Pathan         16\n",
       "DA Warner         15\n",
       "AB de Villiers    15\n",
       "RG Sharma         14\n",
       "Name: player_of_match, dtype: int64"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "match['player_of_match'].value_counts().head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 15. Filtering data based on a condition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(85, 18)"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "match[match['city']==\"Mumbai\"].shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 16. Filtering data based on multiple conditions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mask1=match['season']==2015\n",
    "mask2=match['city']==\"Mumbai\"\n",
    "match[mask1 & mask2].shape[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# =<h3 style=\"color:#00a65a\">Exercise 1 : Find the total number of matches that have been played in the IPL</h3>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "636"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "match.shape[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3 style=\"color:#00a65a\">Exercise 2 : Find the top 5 teams in terms of number of matches won</h3>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Mumbai Indians                 92\n",
       "Chennai Super Kings            79\n",
       "Kolkata Knight Riders          77\n",
       "Royal Challengers Bangalore    73\n",
       "Kings XI Punjab                70\n",
       "Name: winner, dtype: int64"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "match['winner'].value_counts().head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3 style=\"color:#00a65a\">Exercise 3 : At which venue most number of matches have been played?</h3>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "M Chinnaswamy Stadium                        66\n",
       "Eden Gardens                                 61\n",
       "Feroz Shah Kotla                             60\n",
       "Wankhede Stadium                             57\n",
       "Rajiv Gandhi International Stadium, Uppal    49\n",
       "Name: venue, dtype: int64"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "match['venue'].value_counts().head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 17. The plot() method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x210230f2780>"
      ]
     },
     "execution_count": 72,
     "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": [
    "match['venue'].value_counts().head(10).plot(kind='barh')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3 style=\"color:#00a65a\">Exercise 4 : Find the top 5 teams who have played the most number of matches?</h3>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Mumbai Indians                 157\n",
       "Royal Challengers Bangalore    152\n",
       "Kolkata Knight Riders          148\n",
       "Kings XI Punjab                148\n",
       "Delhi Daredevils               147\n",
       "dtype: int64"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s1=match['team1'].value_counts()\n",
    "s2=match['team2'].value_counts()\n",
    "(s1+s2).sort_values(ascending=False).head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3 style=\"color:#00a65a\">Exercise 5 : Find the player who has won the most number of player of the match award in Chennai?</h3>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MEK Hussey    5\n",
       "Name: player_of_match, dtype: int64"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "match[match['city']==\"Chennai\"]['player_of_match'].value_counts().head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MEK Hussey    5\n",
       "Name: player_of_match, dtype: int64"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m1=match['city']==\"Chennai\"\n",
    "m2=match[m1]\n",
    "m2['player_of_match'].value_counts().head(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3 style=\"color:#00a65a\">Exercise 6 : What percentage of teams opt to bat first after winning the toss?</h3>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "#home work"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 18. The sort_values() method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 19. The set_index() method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "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>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",
       "    <tr>\n",
       "      <th>id</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",
       "      <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>2</th>\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>3</th>\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>4</th>\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>5</th>\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",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2017</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>2017-04-09</td>\n",
       "      <td>Gujarat Lions</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>9</td>\n",
       "      <td>Rashid Khan</td>\n",
       "      <td>Rajiv Gandhi International Stadium, Uppal</td>\n",
       "      <td>A Deshmukh</td>\n",
       "      <td>NJ Llong</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2017</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>2017-04-09</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>N Rana</td>\n",
       "      <td>Wankhede Stadium</td>\n",
       "      <td>Nitin Menon</td>\n",
       "      <td>CK Nandan</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2017</td>\n",
       "      <td>Indore</td>\n",
       "      <td>2017-04-10</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>AR Patel</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>9</th>\n",
       "      <td>2017</td>\n",
       "      <td>Pune</td>\n",
       "      <td>2017-04-11</td>\n",
       "      <td>Delhi Daredevils</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>Delhi Daredevils</td>\n",
       "      <td>97</td>\n",
       "      <td>0</td>\n",
       "      <td>SV Samson</td>\n",
       "      <td>Maharashtra Cricket Association Stadium</td>\n",
       "      <td>AY Dandekar</td>\n",
       "      <td>S Ravi</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2017</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>2017-04-12</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>JJ Bumrah</td>\n",
       "      <td>Wankhede Stadium</td>\n",
       "      <td>Nitin Menon</td>\n",
       "      <td>CK Nandan</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2017</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>2017-04-13</td>\n",
       "      <td>Kings XI Punjab</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>8</td>\n",
       "      <td>SP Narine</td>\n",
       "      <td>Eden Gardens</td>\n",
       "      <td>A Deshmukh</td>\n",
       "      <td>NJ Llong</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2017</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2017-04-14</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>KA Pollard</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>KN Ananthapadmanabhan</td>\n",
       "      <td>AK Chaudhary</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2017</td>\n",
       "      <td>Rajkot</td>\n",
       "      <td>2017-04-14</td>\n",
       "      <td>Rising Pune Supergiant</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>AJ Tye</td>\n",
       "      <td>Saurashtra 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>14</th>\n",
       "      <td>2017</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>2017-04-15</td>\n",
       "      <td>Kolkata Knight Riders</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>Kolkata Knight Riders</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>RV Uthappa</td>\n",
       "      <td>Eden Gardens</td>\n",
       "      <td>AY Dandekar</td>\n",
       "      <td>NJ Llong</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2017</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>2017-04-15</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>51</td>\n",
       "      <td>0</td>\n",
       "      <td>CJ Anderson</td>\n",
       "      <td>Feroz Shah Kotla</td>\n",
       "      <td>YC Barde</td>\n",
       "      <td>Nitin Menon</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2017</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>2017-04-16</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>N Rana</td>\n",
       "      <td>Wankhede Stadium</td>\n",
       "      <td>A Nand Kishore</td>\n",
       "      <td>S Ravi</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2017</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2017-04-16</td>\n",
       "      <td>Rising Pune Supergiant</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>Rising Pune Supergiant</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>BA Stokes</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>KN Ananthapadmanabhan</td>\n",
       "      <td>C Shamshuddin</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2017</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>2017-04-17</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>NM Coulter-Nile</td>\n",
       "      <td>Feroz Shah Kotla</td>\n",
       "      <td>Nitin Menon</td>\n",
       "      <td>CK Nandan</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2017</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>2017-04-17</td>\n",
       "      <td>Sunrisers Hyderabad</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>Sunrisers Hyderabad</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>Rajiv Gandhi International Stadium, Uppal</td>\n",
       "      <td>AY Dandekar</td>\n",
       "      <td>A Deshmukh</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2017</td>\n",
       "      <td>Rajkot</td>\n",
       "      <td>2017-04-18</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "      <td>CH Gayle</td>\n",
       "      <td>Saurashtra Cricket Association Stadium</td>\n",
       "      <td>S Ravi</td>\n",
       "      <td>VK Sharma</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2017</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>2017-04-19</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>KS Williamson</td>\n",
       "      <td>Rajiv Gandhi International Stadium, Uppal</td>\n",
       "      <td>CB Gaffaney</td>\n",
       "      <td>NJ Llong</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2017</td>\n",
       "      <td>Indore</td>\n",
       "      <td>2017-04-20</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>JC Buttler</td>\n",
       "      <td>Holkar Cricket Stadium</td>\n",
       "      <td>M Erasmus</td>\n",
       "      <td>C Shamshuddin</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2017</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>2017-04-21</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>SK Raina</td>\n",
       "      <td>Eden Gardens</td>\n",
       "      <td>CB Gaffaney</td>\n",
       "      <td>Nitin Menon</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2017</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>2017-04-22</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>MJ McClenaghan</td>\n",
       "      <td>Wankhede Stadium</td>\n",
       "      <td>A Nand Kishore</td>\n",
       "      <td>S Ravi</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2017</td>\n",
       "      <td>Pune</td>\n",
       "      <td>2017-04-22</td>\n",
       "      <td>Sunrisers Hyderabad</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>6</td>\n",
       "      <td>MS Dhoni</td>\n",
       "      <td>Maharashtra Cricket Association Stadium</td>\n",
       "      <td>AY Dandekar</td>\n",
       "      <td>A Deshmukh</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2017</td>\n",
       "      <td>Rajkot</td>\n",
       "      <td>2017-04-23</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>HM Amla</td>\n",
       "      <td>Saurashtra Cricket Association Stadium</td>\n",
       "      <td>AK Chaudhary</td>\n",
       "      <td>M Erasmus</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2017</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>2017-04-23</td>\n",
       "      <td>Kolkata Knight Riders</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>Kolkata Knight Riders</td>\n",
       "      <td>82</td>\n",
       "      <td>0</td>\n",
       "      <td>NM Coulter-Nile</td>\n",
       "      <td>Eden Gardens</td>\n",
       "      <td>CB Gaffaney</td>\n",
       "      <td>CK Nandan</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2017</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>2017-04-24</td>\n",
       "      <td>Rising Pune Supergiant</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Rising Pune Supergiant</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>BA Stokes</td>\n",
       "      <td>Wankhede Stadium</td>\n",
       "      <td>A Nand Kishore</td>\n",
       "      <td>S Ravi</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2017</td>\n",
       "      <td>Pune</td>\n",
       "      <td>2017-04-26</td>\n",
       "      <td>Rising Pune Supergiant</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>7</td>\n",
       "      <td>RV Uthappa</td>\n",
       "      <td>Maharashtra Cricket Association Stadium</td>\n",
       "      <td>AY Dandekar</td>\n",
       "      <td>NJ Llong</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2017</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2017-04-27</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>AJ Tye</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>AK Chaudhary</td>\n",
       "      <td>C Shamshuddin</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>607</th>\n",
       "      <td>2016</td>\n",
       "      <td>Rajkot</td>\n",
       "      <td>2016-05-03</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>RR Pant</td>\n",
       "      <td>Saurashtra Cricket Association Stadium</td>\n",
       "      <td>CB Gaffaney</td>\n",
       "      <td>BNJ Oxenford</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>608</th>\n",
       "      <td>2016</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>2016-05-04</td>\n",
       "      <td>Kolkata Knight Riders</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>Kolkata Knight Riders</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>AD Russell</td>\n",
       "      <td>Eden Gardens</td>\n",
       "      <td>AK Chaudhary</td>\n",
       "      <td>HDPK Dharmasena</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>609</th>\n",
       "      <td>2016</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>2016-05-05</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>Rising Pune Supergiants</td>\n",
       "      <td>Rising Pune Supergiants</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Rising Pune Supergiants</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>AM Rahane</td>\n",
       "      <td>Feroz Shah Kotla</td>\n",
       "      <td>C Shamshuddin</td>\n",
       "      <td>RJ Tucker</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>610</th>\n",
       "      <td>2016</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>2016-05-06</td>\n",
       "      <td>Gujarat Lions</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>5</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>Rajiv Gandhi International Stadium, Uppal</td>\n",
       "      <td>M Erasmus</td>\n",
       "      <td>S Ravi</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>611</th>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-07</td>\n",
       "      <td>Rising Pune Supergiants</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>Royal Challengers Bangalore</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>V Kohli</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>CB Gaffaney</td>\n",
       "      <td>BNJ Oxenford</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>612</th>\n",
       "      <td>2016</td>\n",
       "      <td>Chandigarh</td>\n",
       "      <td>2016-05-07</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>MP Stoinis</td>\n",
       "      <td>Punjab Cricket Association IS Bindra Stadium, ...</td>\n",
       "      <td>HDPK Dharmasena</td>\n",
       "      <td>CK Nandan</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>613</th>\n",
       "      <td>2016</td>\n",
       "      <td>Visakhapatnam</td>\n",
       "      <td>2016-05-08</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>85</td>\n",
       "      <td>0</td>\n",
       "      <td>A Nehra</td>\n",
       "      <td>Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket St...</td>\n",
       "      <td>S Ravi</td>\n",
       "      <td>C Shamshuddin</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>614</th>\n",
       "      <td>2016</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>2016-05-08</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>P Kumar</td>\n",
       "      <td>Eden Gardens</td>\n",
       "      <td>M Erasmus</td>\n",
       "      <td>RJ Tucker</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>615</th>\n",
       "      <td>2016</td>\n",
       "      <td>Chandigarh</td>\n",
       "      <td>2016-05-09</td>\n",
       "      <td>Royal Challengers Bangalore</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>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>Punjab Cricket Association IS Bindra Stadium, ...</td>\n",
       "      <td>AK Chaudhary</td>\n",
       "      <td>HDPK Dharmasena</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>616</th>\n",
       "      <td>2016</td>\n",
       "      <td>Visakhapatnam</td>\n",
       "      <td>2016-05-10</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Rising Pune Supergiants</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>A Zampa</td>\n",
       "      <td>Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket St...</td>\n",
       "      <td>CB Gaffaney</td>\n",
       "      <td>VK Sharma</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>617</th>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-11</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>KH Pandya</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>AY Dandekar</td>\n",
       "      <td>C Shamshuddin</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>618</th>\n",
       "      <td>2016</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>2016-05-12</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>CH Morris</td>\n",
       "      <td>Rajiv Gandhi International Stadium, Uppal</td>\n",
       "      <td>K Bharatan</td>\n",
       "      <td>M Erasmus</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>619</th>\n",
       "      <td>2016</td>\n",
       "      <td>Visakhapatnam</td>\n",
       "      <td>2016-05-13</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>MP Stoinis</td>\n",
       "      <td>Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket St...</td>\n",
       "      <td>HDPK Dharmasena</td>\n",
       "      <td>CK Nandan</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>620</th>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-14</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>144</td>\n",
       "      <td>0</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>AY Dandekar</td>\n",
       "      <td>VK Sharma</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>621</th>\n",
       "      <td>2016</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>2016-05-14</td>\n",
       "      <td>Rising Pune Supergiants</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Rising Pune Supergiants</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>1</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>YK Pathan</td>\n",
       "      <td>Eden Gardens</td>\n",
       "      <td>A Nand Kishore</td>\n",
       "      <td>BNJ Oxenford</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>622</th>\n",
       "      <td>2016</td>\n",
       "      <td>Chandigarh</td>\n",
       "      <td>2016-05-15</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>HM Amla</td>\n",
       "      <td>Punjab Cricket Association IS Bindra Stadium, ...</td>\n",
       "      <td>KN Ananthapadmanabhan</td>\n",
       "      <td>M Erasmus</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>623</th>\n",
       "      <td>2016</td>\n",
       "      <td>Visakhapatnam</td>\n",
       "      <td>2016-05-15</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
       "      <td>KH Pandya</td>\n",
       "      <td>Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket St...</td>\n",
       "      <td>Nitin Menon</td>\n",
       "      <td>CK Nandan</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>624</th>\n",
       "      <td>2016</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>2016-05-16</td>\n",
       "      <td>Kolkata Knight Riders</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>Royal Challengers Bangalore</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>V Kohli</td>\n",
       "      <td>Eden Gardens</td>\n",
       "      <td>CB Gaffaney</td>\n",
       "      <td>A Nand Kishore</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>625</th>\n",
       "      <td>2016</td>\n",
       "      <td>Visakhapatnam</td>\n",
       "      <td>2016-05-17</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>Rising Pune Supergiants</td>\n",
       "      <td>Rising Pune Supergiants</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>1</td>\n",
       "      <td>Rising Pune Supergiants</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>AB Dinda</td>\n",
       "      <td>Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket St...</td>\n",
       "      <td>Nitin Menon</td>\n",
       "      <td>C Shamshuddin</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>626</th>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-18</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>1</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>82</td>\n",
       "      <td>0</td>\n",
       "      <td>V Kohli</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>KN Ananthapadmanabhan</td>\n",
       "      <td>M Erasmus</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>627</th>\n",
       "      <td>2016</td>\n",
       "      <td>Kanpur</td>\n",
       "      <td>2016-05-19</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>DR Smith</td>\n",
       "      <td>Green Park</td>\n",
       "      <td>AK Chaudhary</td>\n",
       "      <td>CK Nandan</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>628</th>\n",
       "      <td>2016</td>\n",
       "      <td>Raipur</td>\n",
       "      <td>2016-05-20</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>KK Nair</td>\n",
       "      <td>Shaheed Veer Narayan Singh International Stadium</td>\n",
       "      <td>A Nand Kishore</td>\n",
       "      <td>BNJ Oxenford</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>629</th>\n",
       "      <td>2016</td>\n",
       "      <td>Visakhapatnam</td>\n",
       "      <td>2016-05-21</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>Rising Pune Supergiants</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Rising Pune Supergiants</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>MS Dhoni</td>\n",
       "      <td>Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket St...</td>\n",
       "      <td>HDPK Dharmasena</td>\n",
       "      <td>Nitin Menon</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>630</th>\n",
       "      <td>2016</td>\n",
       "      <td>Kanpur</td>\n",
       "      <td>2016-05-21</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>SK Raina</td>\n",
       "      <td>Green Park</td>\n",
       "      <td>AK Chaudhary</td>\n",
       "      <td>CK Nandan</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>631</th>\n",
       "      <td>2016</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>2016-05-22</td>\n",
       "      <td>Kolkata Knight Riders</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>Kolkata Knight Riders</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>YK Pathan</td>\n",
       "      <td>Eden Gardens</td>\n",
       "      <td>KN Ananthapadmanabhan</td>\n",
       "      <td>M Erasmus</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>632</th>\n",
       "      <td>2016</td>\n",
       "      <td>Raipur</td>\n",
       "      <td>2016-05-22</td>\n",
       "      <td>Delhi Daredevils</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>Royal Challengers Bangalore</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>V Kohli</td>\n",
       "      <td>Shaheed Veer Narayan Singh International Stadium</td>\n",
       "      <td>A Nand Kishore</td>\n",
       "      <td>BNJ Oxenford</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>633</th>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-24</td>\n",
       "      <td>Gujarat Lions</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>Royal Challengers Bangalore</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>AK Chaudhary</td>\n",
       "      <td>HDPK Dharmasena</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>634</th>\n",
       "      <td>2016</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>2016-05-25</td>\n",
       "      <td>Sunrisers Hyderabad</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>Sunrisers Hyderabad</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>MC Henriques</td>\n",
       "      <td>Feroz Shah Kotla</td>\n",
       "      <td>M Erasmus</td>\n",
       "      <td>C Shamshuddin</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>635</th>\n",
       "      <td>2016</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>2016-05-27</td>\n",
       "      <td>Gujarat Lions</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>4</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>Feroz Shah Kotla</td>\n",
       "      <td>M Erasmus</td>\n",
       "      <td>CK Nandan</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>636</th>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>BCJ Cutting</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>HDPK Dharmasena</td>\n",
       "      <td>BNJ Oxenford</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>636 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     season           city        date                        team1  \\\n",
       "id                                                                    \n",
       "1      2017      Hyderabad  2017-04-05          Sunrisers Hyderabad   \n",
       "2      2017           Pune  2017-04-06               Mumbai Indians   \n",
       "3      2017         Rajkot  2017-04-07                Gujarat Lions   \n",
       "4      2017         Indore  2017-04-08       Rising Pune Supergiant   \n",
       "5      2017      Bangalore  2017-04-08  Royal Challengers Bangalore   \n",
       "6      2017      Hyderabad  2017-04-09                Gujarat Lions   \n",
       "7      2017         Mumbai  2017-04-09        Kolkata Knight Riders   \n",
       "8      2017         Indore  2017-04-10  Royal Challengers Bangalore   \n",
       "9      2017           Pune  2017-04-11             Delhi Daredevils   \n",
       "10     2017         Mumbai  2017-04-12          Sunrisers Hyderabad   \n",
       "11     2017        Kolkata  2017-04-13              Kings XI Punjab   \n",
       "12     2017      Bangalore  2017-04-14  Royal Challengers Bangalore   \n",
       "13     2017         Rajkot  2017-04-14       Rising Pune Supergiant   \n",
       "14     2017        Kolkata  2017-04-15        Kolkata Knight Riders   \n",
       "15     2017          Delhi  2017-04-15             Delhi Daredevils   \n",
       "16     2017         Mumbai  2017-04-16                Gujarat Lions   \n",
       "17     2017      Bangalore  2017-04-16       Rising Pune Supergiant   \n",
       "18     2017          Delhi  2017-04-17             Delhi Daredevils   \n",
       "19     2017      Hyderabad  2017-04-17          Sunrisers Hyderabad   \n",
       "20     2017         Rajkot  2017-04-18  Royal Challengers Bangalore   \n",
       "21     2017      Hyderabad  2017-04-19          Sunrisers Hyderabad   \n",
       "22     2017         Indore  2017-04-20              Kings XI Punjab   \n",
       "23     2017        Kolkata  2017-04-21        Kolkata Knight Riders   \n",
       "24     2017         Mumbai  2017-04-22               Mumbai Indians   \n",
       "25     2017           Pune  2017-04-22          Sunrisers Hyderabad   \n",
       "26     2017         Rajkot  2017-04-23              Kings XI Punjab   \n",
       "27     2017        Kolkata  2017-04-23        Kolkata Knight Riders   \n",
       "28     2017         Mumbai  2017-04-24       Rising Pune Supergiant   \n",
       "29     2017           Pune  2017-04-26       Rising Pune Supergiant   \n",
       "30     2017      Bangalore  2017-04-27  Royal Challengers Bangalore   \n",
       "..      ...            ...         ...                          ...   \n",
       "607    2016         Rajkot  2016-05-03                Gujarat Lions   \n",
       "608    2016        Kolkata  2016-05-04        Kolkata Knight Riders   \n",
       "609    2016          Delhi  2016-05-05             Delhi Daredevils   \n",
       "610    2016      Hyderabad  2016-05-06                Gujarat Lions   \n",
       "611    2016      Bangalore  2016-05-07      Rising Pune Supergiants   \n",
       "612    2016     Chandigarh  2016-05-07              Kings XI Punjab   \n",
       "613    2016  Visakhapatnam  2016-05-08          Sunrisers Hyderabad   \n",
       "614    2016        Kolkata  2016-05-08        Kolkata Knight Riders   \n",
       "615    2016     Chandigarh  2016-05-09  Royal Challengers Bangalore   \n",
       "616    2016  Visakhapatnam  2016-05-10          Sunrisers Hyderabad   \n",
       "617    2016      Bangalore  2016-05-11  Royal Challengers Bangalore   \n",
       "618    2016      Hyderabad  2016-05-12          Sunrisers Hyderabad   \n",
       "619    2016  Visakhapatnam  2016-05-13               Mumbai Indians   \n",
       "620    2016      Bangalore  2016-05-14  Royal Challengers Bangalore   \n",
       "621    2016        Kolkata  2016-05-14      Rising Pune Supergiants   \n",
       "622    2016     Chandigarh  2016-05-15              Kings XI Punjab   \n",
       "623    2016  Visakhapatnam  2016-05-15               Mumbai Indians   \n",
       "624    2016        Kolkata  2016-05-16        Kolkata Knight Riders   \n",
       "625    2016  Visakhapatnam  2016-05-17             Delhi Daredevils   \n",
       "626    2016      Bangalore  2016-05-18  Royal Challengers Bangalore   \n",
       "627    2016         Kanpur  2016-05-19        Kolkata Knight Riders   \n",
       "628    2016         Raipur  2016-05-20          Sunrisers Hyderabad   \n",
       "629    2016  Visakhapatnam  2016-05-21              Kings XI Punjab   \n",
       "630    2016         Kanpur  2016-05-21               Mumbai Indians   \n",
       "631    2016        Kolkata  2016-05-22        Kolkata Knight Riders   \n",
       "632    2016         Raipur  2016-05-22             Delhi Daredevils   \n",
       "633    2016      Bangalore  2016-05-24                Gujarat Lions   \n",
       "634    2016          Delhi  2016-05-25          Sunrisers Hyderabad   \n",
       "635    2016          Delhi  2016-05-27                Gujarat Lions   \n",
       "636    2016      Bangalore  2016-05-29          Sunrisers Hyderabad   \n",
       "\n",
       "                           team2                  toss_winner toss_decision  \\\n",
       "id                                                                            \n",
       "1    Royal Challengers Bangalore  Royal Challengers Bangalore         field   \n",
       "2         Rising Pune Supergiant       Rising Pune Supergiant         field   \n",
       "3          Kolkata Knight Riders        Kolkata Knight Riders         field   \n",
       "4                Kings XI Punjab              Kings XI Punjab         field   \n",
       "5               Delhi Daredevils  Royal Challengers Bangalore           bat   \n",
       "6            Sunrisers Hyderabad          Sunrisers Hyderabad         field   \n",
       "7                 Mumbai Indians               Mumbai Indians         field   \n",
       "8                Kings XI Punjab  Royal Challengers Bangalore           bat   \n",
       "9         Rising Pune Supergiant       Rising Pune Supergiant         field   \n",
       "10                Mumbai Indians               Mumbai Indians         field   \n",
       "11         Kolkata Knight Riders        Kolkata Knight Riders         field   \n",
       "12                Mumbai Indians               Mumbai Indians         field   \n",
       "13                 Gujarat Lions                Gujarat Lions         field   \n",
       "14           Sunrisers Hyderabad          Sunrisers Hyderabad         field   \n",
       "15               Kings XI Punjab             Delhi Daredevils           bat   \n",
       "16                Mumbai Indians               Mumbai Indians         field   \n",
       "17   Royal Challengers Bangalore  Royal Challengers Bangalore         field   \n",
       "18         Kolkata Knight Riders             Delhi Daredevils           bat   \n",
       "19               Kings XI Punjab              Kings XI Punjab         field   \n",
       "20                 Gujarat Lions                Gujarat Lions         field   \n",
       "21              Delhi Daredevils          Sunrisers Hyderabad           bat   \n",
       "22                Mumbai Indians               Mumbai Indians         field   \n",
       "23                 Gujarat Lions                Gujarat Lions         field   \n",
       "24              Delhi Daredevils             Delhi Daredevils         field   \n",
       "25        Rising Pune Supergiant       Rising Pune Supergiant         field   \n",
       "26                 Gujarat Lions                Gujarat Lions         field   \n",
       "27   Royal Challengers Bangalore  Royal Challengers Bangalore         field   \n",
       "28                Mumbai Indians               Mumbai Indians         field   \n",
       "29         Kolkata Knight Riders        Kolkata Knight Riders         field   \n",
       "30                 Gujarat Lions                Gujarat Lions         field   \n",
       "..                           ...                          ...           ...   \n",
       "607             Delhi Daredevils             Delhi Daredevils         field   \n",
       "608              Kings XI Punjab              Kings XI Punjab         field   \n",
       "609      Rising Pune Supergiants      Rising Pune Supergiants         field   \n",
       "610          Sunrisers Hyderabad          Sunrisers Hyderabad         field   \n",
       "611  Royal Challengers Bangalore  Royal Challengers Bangalore         field   \n",
       "612             Delhi Daredevils             Delhi Daredevils         field   \n",
       "613               Mumbai Indians               Mumbai Indians         field   \n",
       "614                Gujarat Lions                Gujarat Lions         field   \n",
       "615              Kings XI Punjab              Kings XI Punjab         field   \n",
       "616      Rising Pune Supergiants          Sunrisers Hyderabad           bat   \n",
       "617               Mumbai Indians               Mumbai Indians         field   \n",
       "618             Delhi Daredevils             Delhi Daredevils         field   \n",
       "619              Kings XI Punjab               Mumbai Indians           bat   \n",
       "620                Gujarat Lions                Gujarat Lions         field   \n",
       "621        Kolkata Knight Riders      Rising Pune Supergiants           bat   \n",
       "622          Sunrisers Hyderabad              Kings XI Punjab           bat   \n",
       "623             Delhi Daredevils             Delhi Daredevils         field   \n",
       "624  Royal Challengers Bangalore  Royal Challengers Bangalore         field   \n",
       "625      Rising Pune Supergiants      Rising Pune Supergiants         field   \n",
       "626              Kings XI Punjab              Kings XI Punjab         field   \n",
       "627                Gujarat Lions                Gujarat Lions         field   \n",
       "628             Delhi Daredevils             Delhi Daredevils         field   \n",
       "629      Rising Pune Supergiants              Kings XI Punjab           bat   \n",
       "630                Gujarat Lions                Gujarat Lions         field   \n",
       "631          Sunrisers Hyderabad          Sunrisers Hyderabad         field   \n",
       "632  Royal Challengers Bangalore  Royal Challengers Bangalore         field   \n",
       "633  Royal Challengers Bangalore  Royal Challengers Bangalore         field   \n",
       "634        Kolkata Knight Riders        Kolkata Knight Riders         field   \n",
       "635          Sunrisers Hyderabad          Sunrisers Hyderabad         field   \n",
       "636  Royal Challengers Bangalore          Sunrisers Hyderabad           bat   \n",
       "\n",
       "     result  dl_applied                       winner  win_by_runs  \\\n",
       "id                                                                  \n",
       "1    normal           0          Sunrisers Hyderabad           35   \n",
       "2    normal           0       Rising Pune Supergiant            0   \n",
       "3    normal           0        Kolkata Knight Riders            0   \n",
       "4    normal           0              Kings XI Punjab            0   \n",
       "5    normal           0  Royal Challengers Bangalore           15   \n",
       "6    normal           0          Sunrisers Hyderabad            0   \n",
       "7    normal           0               Mumbai Indians            0   \n",
       "8    normal           0              Kings XI Punjab            0   \n",
       "9    normal           0             Delhi Daredevils           97   \n",
       "10   normal           0               Mumbai Indians            0   \n",
       "11   normal           0        Kolkata Knight Riders            0   \n",
       "12   normal           0               Mumbai Indians            0   \n",
       "13   normal           0                Gujarat Lions            0   \n",
       "14   normal           0        Kolkata Knight Riders           17   \n",
       "15   normal           0             Delhi Daredevils           51   \n",
       "16   normal           0               Mumbai Indians            0   \n",
       "17   normal           0       Rising Pune Supergiant           27   \n",
       "18   normal           0        Kolkata Knight Riders            0   \n",
       "19   normal           0          Sunrisers Hyderabad            5   \n",
       "20   normal           0  Royal Challengers Bangalore           21   \n",
       "21   normal           0          Sunrisers Hyderabad           15   \n",
       "22   normal           0               Mumbai Indians            0   \n",
       "23   normal           0                Gujarat Lions            0   \n",
       "24   normal           0               Mumbai Indians           14   \n",
       "25   normal           0       Rising Pune Supergiant            0   \n",
       "26   normal           0              Kings XI Punjab           26   \n",
       "27   normal           0        Kolkata Knight Riders           82   \n",
       "28   normal           0       Rising Pune Supergiant            3   \n",
       "29   normal           0        Kolkata Knight Riders            0   \n",
       "30   normal           0                Gujarat Lions            0   \n",
       "..      ...         ...                          ...          ...   \n",
       "607  normal           0             Delhi Daredevils            0   \n",
       "608  normal           0        Kolkata Knight Riders            7   \n",
       "609  normal           0      Rising Pune Supergiants            0   \n",
       "610  normal           0          Sunrisers Hyderabad            0   \n",
       "611  normal           0  Royal Challengers Bangalore            0   \n",
       "612  normal           0              Kings XI Punjab            9   \n",
       "613  normal           0          Sunrisers Hyderabad           85   \n",
       "614  normal           0                Gujarat Lions            0   \n",
       "615  normal           0  Royal Challengers Bangalore            1   \n",
       "616  normal           0          Sunrisers Hyderabad            4   \n",
       "617  normal           0               Mumbai Indians            0   \n",
       "618  normal           0             Delhi Daredevils            0   \n",
       "619  normal           0              Kings XI Punjab            0   \n",
       "620  normal           0  Royal Challengers Bangalore          144   \n",
       "621  normal           1        Kolkata Knight Riders            0   \n",
       "622  normal           0          Sunrisers Hyderabad            0   \n",
       "623  normal           0               Mumbai Indians           80   \n",
       "624  normal           0  Royal Challengers Bangalore            0   \n",
       "625  normal           1      Rising Pune Supergiants           19   \n",
       "626  normal           1  Royal Challengers Bangalore           82   \n",
       "627  normal           0                Gujarat Lions            0   \n",
       "628  normal           0             Delhi Daredevils            0   \n",
       "629  normal           0      Rising Pune Supergiants            0   \n",
       "630  normal           0                Gujarat Lions            0   \n",
       "631  normal           0        Kolkata Knight Riders           22   \n",
       "632  normal           0  Royal Challengers Bangalore            0   \n",
       "633  normal           0  Royal Challengers Bangalore            0   \n",
       "634  normal           0          Sunrisers Hyderabad           22   \n",
       "635  normal           0          Sunrisers Hyderabad            0   \n",
       "636  normal           0          Sunrisers Hyderabad            8   \n",
       "\n",
       "     win_by_wickets  player_of_match  \\\n",
       "id                                     \n",
       "1                 0     Yuvraj Singh   \n",
       "2                 7        SPD Smith   \n",
       "3                10          CA Lynn   \n",
       "4                 6       GJ Maxwell   \n",
       "5                 0        KM Jadhav   \n",
       "6                 9      Rashid Khan   \n",
       "7                 4           N Rana   \n",
       "8                 8         AR Patel   \n",
       "9                 0        SV Samson   \n",
       "10                4        JJ Bumrah   \n",
       "11                8        SP Narine   \n",
       "12                4       KA Pollard   \n",
       "13                7           AJ Tye   \n",
       "14                0       RV Uthappa   \n",
       "15                0      CJ Anderson   \n",
       "16                6           N Rana   \n",
       "17                0        BA Stokes   \n",
       "18                4  NM Coulter-Nile   \n",
       "19                0          B Kumar   \n",
       "20                0         CH Gayle   \n",
       "21                0    KS Williamson   \n",
       "22                8       JC Buttler   \n",
       "23                4         SK Raina   \n",
       "24                0   MJ McClenaghan   \n",
       "25                6         MS Dhoni   \n",
       "26                0          HM Amla   \n",
       "27                0  NM Coulter-Nile   \n",
       "28                0        BA Stokes   \n",
       "29                7       RV Uthappa   \n",
       "30                7           AJ Tye   \n",
       "..              ...              ...   \n",
       "607               8          RR Pant   \n",
       "608               0       AD Russell   \n",
       "609               7        AM Rahane   \n",
       "610               5          B Kumar   \n",
       "611               7          V Kohli   \n",
       "612               0       MP Stoinis   \n",
       "613               0          A Nehra   \n",
       "614               5          P Kumar   \n",
       "615               0        SR Watson   \n",
       "616               0          A Zampa   \n",
       "617               6        KH Pandya   \n",
       "618               7        CH Morris   \n",
       "619               7       MP Stoinis   \n",
       "620               0   AB de Villiers   \n",
       "621               8        YK Pathan   \n",
       "622               7          HM Amla   \n",
       "623               0        KH Pandya   \n",
       "624               9          V Kohli   \n",
       "625               0         AB Dinda   \n",
       "626               0          V Kohli   \n",
       "627               6         DR Smith   \n",
       "628               6          KK Nair   \n",
       "629               4         MS Dhoni   \n",
       "630               6         SK Raina   \n",
       "631               0        YK Pathan   \n",
       "632               6          V Kohli   \n",
       "633               4   AB de Villiers   \n",
       "634               0     MC Henriques   \n",
       "635               4        DA Warner   \n",
       "636               0      BCJ Cutting   \n",
       "\n",
       "                                                 venue                umpire1  \\\n",
       "id                                                                              \n",
       "1            Rajiv Gandhi International Stadium, Uppal            AY Dandekar   \n",
       "2              Maharashtra Cricket Association Stadium         A Nand Kishore   \n",
       "3               Saurashtra Cricket Association Stadium            Nitin Menon   \n",
       "4                               Holkar Cricket Stadium           AK Chaudhary   \n",
       "5                                M Chinnaswamy Stadium                    NaN   \n",
       "6            Rajiv Gandhi International Stadium, Uppal             A Deshmukh   \n",
       "7                                     Wankhede Stadium            Nitin Menon   \n",
       "8                               Holkar Cricket Stadium           AK Chaudhary   \n",
       "9              Maharashtra Cricket Association Stadium            AY Dandekar   \n",
       "10                                    Wankhede Stadium            Nitin Menon   \n",
       "11                                        Eden Gardens             A Deshmukh   \n",
       "12                               M Chinnaswamy Stadium  KN Ananthapadmanabhan   \n",
       "13              Saurashtra Cricket Association Stadium         A Nand Kishore   \n",
       "14                                        Eden Gardens            AY Dandekar   \n",
       "15                                    Feroz Shah Kotla               YC Barde   \n",
       "16                                    Wankhede Stadium         A Nand Kishore   \n",
       "17                               M Chinnaswamy Stadium  KN Ananthapadmanabhan   \n",
       "18                                    Feroz Shah Kotla            Nitin Menon   \n",
       "19           Rajiv Gandhi International Stadium, Uppal            AY Dandekar   \n",
       "20              Saurashtra Cricket Association Stadium                 S Ravi   \n",
       "21           Rajiv Gandhi International Stadium, Uppal            CB Gaffaney   \n",
       "22                              Holkar Cricket Stadium              M Erasmus   \n",
       "23                                        Eden Gardens            CB Gaffaney   \n",
       "24                                    Wankhede Stadium         A Nand Kishore   \n",
       "25             Maharashtra Cricket Association Stadium            AY Dandekar   \n",
       "26              Saurashtra Cricket Association Stadium           AK Chaudhary   \n",
       "27                                        Eden Gardens            CB Gaffaney   \n",
       "28                                    Wankhede Stadium         A Nand Kishore   \n",
       "29             Maharashtra Cricket Association Stadium            AY Dandekar   \n",
       "30                               M Chinnaswamy Stadium           AK Chaudhary   \n",
       "..                                                 ...                    ...   \n",
       "607             Saurashtra Cricket Association Stadium            CB Gaffaney   \n",
       "608                                       Eden Gardens           AK Chaudhary   \n",
       "609                                   Feroz Shah Kotla          C Shamshuddin   \n",
       "610          Rajiv Gandhi International Stadium, Uppal              M Erasmus   \n",
       "611                              M Chinnaswamy Stadium            CB Gaffaney   \n",
       "612  Punjab Cricket Association IS Bindra Stadium, ...        HDPK Dharmasena   \n",
       "613  Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket St...                 S Ravi   \n",
       "614                                       Eden Gardens              M Erasmus   \n",
       "615  Punjab Cricket Association IS Bindra Stadium, ...           AK Chaudhary   \n",
       "616  Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket St...            CB Gaffaney   \n",
       "617                              M Chinnaswamy Stadium            AY Dandekar   \n",
       "618          Rajiv Gandhi International Stadium, Uppal             K Bharatan   \n",
       "619  Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket St...        HDPK Dharmasena   \n",
       "620                              M Chinnaswamy Stadium            AY Dandekar   \n",
       "621                                       Eden Gardens         A Nand Kishore   \n",
       "622  Punjab Cricket Association IS Bindra Stadium, ...  KN Ananthapadmanabhan   \n",
       "623  Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket St...            Nitin Menon   \n",
       "624                                       Eden Gardens            CB Gaffaney   \n",
       "625  Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket St...            Nitin Menon   \n",
       "626                              M Chinnaswamy Stadium  KN Ananthapadmanabhan   \n",
       "627                                         Green Park           AK Chaudhary   \n",
       "628   Shaheed Veer Narayan Singh International Stadium         A Nand Kishore   \n",
       "629  Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket St...        HDPK Dharmasena   \n",
       "630                                         Green Park           AK Chaudhary   \n",
       "631                                       Eden Gardens  KN Ananthapadmanabhan   \n",
       "632   Shaheed Veer Narayan Singh International Stadium         A Nand Kishore   \n",
       "633                              M Chinnaswamy Stadium           AK Chaudhary   \n",
       "634                                   Feroz Shah Kotla              M Erasmus   \n",
       "635                                   Feroz Shah Kotla              M Erasmus   \n",
       "636                              M Chinnaswamy Stadium        HDPK Dharmasena   \n",
       "\n",
       "             umpire2  umpire3  \n",
       "id                             \n",
       "1           NJ Llong      NaN  \n",
       "2             S Ravi      NaN  \n",
       "3          CK Nandan      NaN  \n",
       "4      C Shamshuddin      NaN  \n",
       "5                NaN      NaN  \n",
       "6           NJ Llong      NaN  \n",
       "7          CK Nandan      NaN  \n",
       "8      C Shamshuddin      NaN  \n",
       "9             S Ravi      NaN  \n",
       "10         CK Nandan      NaN  \n",
       "11          NJ Llong      NaN  \n",
       "12      AK Chaudhary      NaN  \n",
       "13            S Ravi      NaN  \n",
       "14          NJ Llong      NaN  \n",
       "15       Nitin Menon      NaN  \n",
       "16            S Ravi      NaN  \n",
       "17     C Shamshuddin      NaN  \n",
       "18         CK Nandan      NaN  \n",
       "19        A Deshmukh      NaN  \n",
       "20         VK Sharma      NaN  \n",
       "21          NJ Llong      NaN  \n",
       "22     C Shamshuddin      NaN  \n",
       "23       Nitin Menon      NaN  \n",
       "24            S Ravi      NaN  \n",
       "25        A Deshmukh      NaN  \n",
       "26         M Erasmus      NaN  \n",
       "27         CK Nandan      NaN  \n",
       "28            S Ravi      NaN  \n",
       "29          NJ Llong      NaN  \n",
       "30     C Shamshuddin      NaN  \n",
       "..               ...      ...  \n",
       "607     BNJ Oxenford      NaN  \n",
       "608  HDPK Dharmasena      NaN  \n",
       "609        RJ Tucker      NaN  \n",
       "610           S Ravi      NaN  \n",
       "611     BNJ Oxenford      NaN  \n",
       "612        CK Nandan      NaN  \n",
       "613    C Shamshuddin      NaN  \n",
       "614        RJ Tucker      NaN  \n",
       "615  HDPK Dharmasena      NaN  \n",
       "616        VK Sharma      NaN  \n",
       "617    C Shamshuddin      NaN  \n",
       "618        M Erasmus      NaN  \n",
       "619        CK Nandan      NaN  \n",
       "620        VK Sharma      NaN  \n",
       "621     BNJ Oxenford      NaN  \n",
       "622        M Erasmus      NaN  \n",
       "623        CK Nandan      NaN  \n",
       "624   A Nand Kishore      NaN  \n",
       "625    C Shamshuddin      NaN  \n",
       "626        M Erasmus      NaN  \n",
       "627        CK Nandan      NaN  \n",
       "628     BNJ Oxenford      NaN  \n",
       "629      Nitin Menon      NaN  \n",
       "630        CK Nandan      NaN  \n",
       "631        M Erasmus      NaN  \n",
       "632     BNJ Oxenford      NaN  \n",
       "633  HDPK Dharmasena      NaN  \n",
       "634    C Shamshuddin      NaN  \n",
       "635        CK Nandan      NaN  \n",
       "636     BNJ Oxenford      NaN  \n",
       "\n",
       "[636 rows x 17 columns]"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "match.set_index('id')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 20. The inplace parameter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [],
   "source": [
    "match.set_index('id',inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 21. The sort_index() method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "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>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",
       "    <tr>\n",
       "      <th>id</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>636</th>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>BCJ Cutting</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>HDPK Dharmasena</td>\n",
       "      <td>BNJ Oxenford</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>635</th>\n",
       "      <td>2016</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>2016-05-27</td>\n",
       "      <td>Gujarat Lions</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>4</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>Feroz Shah Kotla</td>\n",
       "      <td>M Erasmus</td>\n",
       "      <td>CK Nandan</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>634</th>\n",
       "      <td>2016</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>2016-05-25</td>\n",
       "      <td>Sunrisers Hyderabad</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>Sunrisers Hyderabad</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>MC Henriques</td>\n",
       "      <td>Feroz Shah Kotla</td>\n",
       "      <td>M Erasmus</td>\n",
       "      <td>C Shamshuddin</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>633</th>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-24</td>\n",
       "      <td>Gujarat Lions</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>Royal Challengers Bangalore</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>AK Chaudhary</td>\n",
       "      <td>HDPK Dharmasena</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>632</th>\n",
       "      <td>2016</td>\n",
       "      <td>Raipur</td>\n",
       "      <td>2016-05-22</td>\n",
       "      <td>Delhi Daredevils</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>Royal Challengers Bangalore</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>V Kohli</td>\n",
       "      <td>Shaheed Veer Narayan Singh International Stadium</td>\n",
       "      <td>A Nand Kishore</td>\n",
       "      <td>BNJ Oxenford</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     season       city        date                team1  \\\n",
       "id                                                        \n",
       "636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "635    2016      Delhi  2016-05-27        Gujarat Lions   \n",
       "634    2016      Delhi  2016-05-25  Sunrisers Hyderabad   \n",
       "633    2016  Bangalore  2016-05-24        Gujarat Lions   \n",
       "632    2016     Raipur  2016-05-22     Delhi Daredevils   \n",
       "\n",
       "                           team2                  toss_winner toss_decision  \\\n",
       "id                                                                            \n",
       "636  Royal Challengers Bangalore          Sunrisers Hyderabad           bat   \n",
       "635          Sunrisers Hyderabad          Sunrisers Hyderabad         field   \n",
       "634        Kolkata Knight Riders        Kolkata Knight Riders         field   \n",
       "633  Royal Challengers Bangalore  Royal Challengers Bangalore         field   \n",
       "632  Royal Challengers Bangalore  Royal Challengers Bangalore         field   \n",
       "\n",
       "     result  dl_applied                       winner  win_by_runs  \\\n",
       "id                                                                  \n",
       "636  normal           0          Sunrisers Hyderabad            8   \n",
       "635  normal           0          Sunrisers Hyderabad            0   \n",
       "634  normal           0          Sunrisers Hyderabad           22   \n",
       "633  normal           0  Royal Challengers Bangalore            0   \n",
       "632  normal           0  Royal Challengers Bangalore            0   \n",
       "\n",
       "     win_by_wickets player_of_match  \\\n",
       "id                                    \n",
       "636               0     BCJ Cutting   \n",
       "635               4       DA Warner   \n",
       "634               0    MC Henriques   \n",
       "633               4  AB de Villiers   \n",
       "632               6         V Kohli   \n",
       "\n",
       "                                                venue          umpire1  \\\n",
       "id                                                                       \n",
       "636                             M Chinnaswamy Stadium  HDPK Dharmasena   \n",
       "635                                  Feroz Shah Kotla        M Erasmus   \n",
       "634                                  Feroz Shah Kotla        M Erasmus   \n",
       "633                             M Chinnaswamy Stadium     AK Chaudhary   \n",
       "632  Shaheed Veer Narayan Singh International Stadium   A Nand Kishore   \n",
       "\n",
       "             umpire2  umpire3  \n",
       "id                             \n",
       "636     BNJ Oxenford      NaN  \n",
       "635        CK Nandan      NaN  \n",
       "634    C Shamshuddin      NaN  \n",
       "633  HDPK Dharmasena      NaN  \n",
       "632     BNJ Oxenford      NaN  "
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "match.sort_index(ascending=False).head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 22. The reset_index() method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [],
   "source": [
    "match.reset_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "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>index</th>\n",
       "      <th>venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Eden Gardens</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Feroz Shah Kotla</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Wankhede Stadium</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Rajiv Gandhi International Stadium, Uppal</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>MA Chidambaram Stadium, Chepauk</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Punjab Cricket Association Stadium, Mohali</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Sawai Mansingh Stadium</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Subrata Roy Sahara Stadium</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Dr DY Patil Sports Academy</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Maharashtra Cricket Association Stadium</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Kingsmead</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Sardar Patel Stadium, Motera</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>SuperSport Park</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Brabourne Stadium</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket St...</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Punjab Cricket Association IS Bindra Stadium, ...</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Saurashtra Cricket Association Stadium</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Himachal Pradesh Cricket Association Stadium</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>New Wanderers Stadium</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Sheikh Zayed Stadium</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Dubai International Cricket Stadium</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>St George's Park</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Newlands</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Barabati Stadium</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>JSCA International Stadium Complex</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Sharjah Cricket Stadium</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Shaheed Veer Narayan Singh International Stadium</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Holkar Cricket Stadium</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Nehru Stadium</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Green Park</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>De Beers Diamond Oval</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Vidarbha Cricket Association Stadium, Jamtha</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Buffalo Park</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>OUTsurance Oval</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                index  venue\n",
       "0                               M Chinnaswamy Stadium     66\n",
       "1                                        Eden Gardens     61\n",
       "2                                    Feroz Shah Kotla     60\n",
       "3                                    Wankhede Stadium     57\n",
       "4           Rajiv Gandhi International Stadium, Uppal     49\n",
       "5                     MA Chidambaram Stadium, Chepauk     48\n",
       "6          Punjab Cricket Association Stadium, Mohali     35\n",
       "7                              Sawai Mansingh Stadium     33\n",
       "8                          Subrata Roy Sahara Stadium     17\n",
       "9                          Dr DY Patil Sports Academy     17\n",
       "10            Maharashtra Cricket Association Stadium     15\n",
       "11                                          Kingsmead     15\n",
       "12                       Sardar Patel Stadium, Motera     12\n",
       "13                                    SuperSport Park     12\n",
       "14                                  Brabourne Stadium     11\n",
       "15  Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket St...     11\n",
       "16  Punjab Cricket Association IS Bindra Stadium, ...     11\n",
       "17             Saurashtra Cricket Association Stadium     10\n",
       "18       Himachal Pradesh Cricket Association Stadium      9\n",
       "19                              New Wanderers Stadium      8\n",
       "20                               Sheikh Zayed Stadium      7\n",
       "21                Dubai International Cricket Stadium      7\n",
       "22                                   St George's Park      7\n",
       "23                                           Newlands      7\n",
       "24                                   Barabati Stadium      7\n",
       "25                 JSCA International Stadium Complex      7\n",
       "26                            Sharjah Cricket Stadium      6\n",
       "27   Shaheed Veer Narayan Singh International Stadium      6\n",
       "28                             Holkar Cricket Stadium      5\n",
       "29                                      Nehru Stadium      5\n",
       "30                                         Green Park      4\n",
       "31                              De Beers Diamond Oval      3\n",
       "32       Vidarbha Cricket Association Stadium, Jamtha      3\n",
       "33                                       Buffalo Park      3\n",
       "34                                    OUTsurance Oval      2"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "match['venue'].value_counts().reset_index()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 23. Maths functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1279944"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "match['season'].sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 24. The drop_duplicates() method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "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>129</th>\n",
       "      <td>130</td>\n",
       "      <td>2009</td>\n",
       "      <td>Cape Town</td>\n",
       "      <td>2009-04-26</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>Rajasthan Royals</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>KC Sangakkara</td>\n",
       "      <td>Newlands</td>\n",
       "      <td>M Erasmus</td>\n",
       "      <td>K Hariharan</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>150</td>\n",
       "      <td>2009</td>\n",
       "      <td>East London</td>\n",
       "      <td>2009-05-08</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>A Nehra</td>\n",
       "      <td>Buffalo Park</td>\n",
       "      <td>M Erasmus</td>\n",
       "      <td>SK Tarapore</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>155</td>\n",
       "      <td>2009</td>\n",
       "      <td>Kimberley</td>\n",
       "      <td>2009-05-11</td>\n",
       "      <td>Deccan Chargers</td>\n",
       "      <td>Rajasthan Royals</td>\n",
       "      <td>Deccan Chargers</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Deccan Chargers</td>\n",
       "      <td>53</td>\n",
       "      <td>0</td>\n",
       "      <td>DR Smith</td>\n",
       "      <td>De Beers Diamond Oval</td>\n",
       "      <td>GAV Baxter</td>\n",
       "      <td>HDPK Dharmasena</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>162</td>\n",
       "      <td>2009</td>\n",
       "      <td>Port Elizabeth</td>\n",
       "      <td>2009-05-16</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>ML Hayden</td>\n",
       "      <td>St George's Park</td>\n",
       "      <td>SK Tarapore</td>\n",
       "      <td>SJA Taufel</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>165</td>\n",
       "      <td>2009</td>\n",
       "      <td>Bloemfontein</td>\n",
       "      <td>2009-05-17</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>Rajasthan Royals</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>AB de Villiers</td>\n",
       "      <td>OUTsurance Oval</td>\n",
       "      <td>SS Hazare</td>\n",
       "      <td>IL Howell</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>169</td>\n",
       "      <td>2009</td>\n",
       "      <td>Durban</td>\n",
       "      <td>2009-05-20</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "      <td>M Muralitharan</td>\n",
       "      <td>Kingsmead</td>\n",
       "      <td>BG Jerling</td>\n",
       "      <td>SJA Taufel</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>172</td>\n",
       "      <td>2009</td>\n",
       "      <td>Centurion</td>\n",
       "      <td>2009-05-22</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>Deccan Chargers</td>\n",
       "      <td>Deccan Chargers</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Deccan Chargers</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>AC Gilchrist</td>\n",
       "      <td>SuperSport Park</td>\n",
       "      <td>BR Doctrove</td>\n",
       "      <td>DJ Harper</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>174</td>\n",
       "      <td>2009</td>\n",
       "      <td>Johannesburg</td>\n",
       "      <td>2009-05-24</td>\n",
       "      <td>Deccan Chargers</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>Deccan Chargers</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>A Kumble</td>\n",
       "      <td>New Wanderers Stadium</td>\n",
       "      <td>RE Koertzen</td>\n",
       "      <td>SJA Taufel</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>220</td>\n",
       "      <td>2010</td>\n",
       "      <td>Nagpur</td>\n",
       "      <td>2010-04-12</td>\n",
       "      <td>Deccan Chargers</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>Deccan Chargers</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>Harmeet Singh</td>\n",
       "      <td>Vidarbha Cricket Association Stadium, Jamtha</td>\n",
       "      <td>RE Koertzen</td>\n",
       "      <td>RB Tiffin</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>278</td>\n",
       "      <td>2011</td>\n",
       "      <td>Kochi</td>\n",
       "      <td>2011-05-05</td>\n",
       "      <td>Kochi Tuskers Kerala</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>Kochi Tuskers Kerala</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>BJ Hodge</td>\n",
       "      <td>Nehru Stadium</td>\n",
       "      <td>S Ravi</td>\n",
       "      <td>RJ Tucker</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>294</td>\n",
       "      <td>2011</td>\n",
       "      <td>Indore</td>\n",
       "      <td>2011-05-15</td>\n",
       "      <td>Rajasthan Royals</td>\n",
       "      <td>Kochi Tuskers Kerala</td>\n",
       "      <td>Kochi Tuskers Kerala</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Kochi Tuskers Kerala</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>BJ Hodge</td>\n",
       "      <td>Holkar Cricket Stadium</td>\n",
       "      <td>PR Reiffel</td>\n",
       "      <td>RJ Tucker</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>441</th>\n",
       "      <td>442</td>\n",
       "      <td>2013</td>\n",
       "      <td>Jaipur</td>\n",
       "      <td>2013-05-12</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Rajasthan Royals</td>\n",
       "      <td>Rajasthan Royals</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Rajasthan Royals</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>Sawai Mansingh Stadium</td>\n",
       "      <td>HDPK Dharmasena</td>\n",
       "      <td>CK Nandan</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>449</th>\n",
       "      <td>450</td>\n",
       "      <td>2013</td>\n",
       "      <td>Dharamsala</td>\n",
       "      <td>2013-05-18</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>50</td>\n",
       "      <td>0</td>\n",
       "      <td>Azhar Mahmood</td>\n",
       "      <td>Himachal Pradesh Cricket Association Stadium</td>\n",
       "      <td>HDPK Dharmasena</td>\n",
       "      <td>CK Nandan</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>474</td>\n",
       "      <td>2014</td>\n",
       "      <td>Sharjah</td>\n",
       "      <td>2014-04-27</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>DR Smith</td>\n",
       "      <td>Sharjah Cricket Stadium</td>\n",
       "      <td>AK Chaudhary</td>\n",
       "      <td>VA Kulkarni</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>476</td>\n",
       "      <td>2014</td>\n",
       "      <td>Abu Dhabi</td>\n",
       "      <td>2014-04-29</td>\n",
       "      <td>Rajasthan Royals</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Rajasthan Royals</td>\n",
       "      <td>bat</td>\n",
       "      <td>tie</td>\n",
       "      <td>0</td>\n",
       "      <td>Rajasthan Royals</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>JP Faulkner</td>\n",
       "      <td>Sheikh Zayed Stadium</td>\n",
       "      <td>Aleem Dar</td>\n",
       "      <td>AK Chaudhary</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>477</td>\n",
       "      <td>2014</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014-04-30</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>Dubai International Cricket Stadium</td>\n",
       "      <td>HDPK Dharmasena</td>\n",
       "      <td>M Erasmus</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>496</th>\n",
       "      <td>497</td>\n",
       "      <td>2014</td>\n",
       "      <td>Cuttack</td>\n",
       "      <td>2014-05-14</td>\n",
       "      <td>Mumbai Indians</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>6</td>\n",
       "      <td>RV Uthappa</td>\n",
       "      <td>Barabati Stadium</td>\n",
       "      <td>AK Chaudhary</td>\n",
       "      <td>NJ Llong</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>539</th>\n",
       "      <td>540</td>\n",
       "      <td>2015</td>\n",
       "      <td>Ahmedabad</td>\n",
       "      <td>2015-04-24</td>\n",
       "      <td>Rajasthan Royals</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>Royal Challengers Bangalore</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>MA Starc</td>\n",
       "      <td>Sardar Patel Stadium, Motera</td>\n",
       "      <td>M Erasmus</td>\n",
       "      <td>S Ravi</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>562</th>\n",
       "      <td>563</td>\n",
       "      <td>2015</td>\n",
       "      <td>Chennai</td>\n",
       "      <td>2015-05-10</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Rajasthan Royals</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>RA Jadeja</td>\n",
       "      <td>MA Chidambaram Stadium, Chepauk</td>\n",
       "      <td>M Erasmus</td>\n",
       "      <td>CK Nandan</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>574</th>\n",
       "      <td>575</td>\n",
       "      <td>2015</td>\n",
       "      <td>Ranchi</td>\n",
       "      <td>2015-05-22</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>A Nehra</td>\n",
       "      <td>JSCA International Stadium Complex</td>\n",
       "      <td>AK Chaudhary</td>\n",
       "      <td>CB Gaffaney</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>599</th>\n",
       "      <td>600</td>\n",
       "      <td>2016</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>2016-04-28</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>RG Sharma</td>\n",
       "      <td>Wankhede Stadium</td>\n",
       "      <td>Nitin Menon</td>\n",
       "      <td>RJ Tucker</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>604</th>\n",
       "      <td>605</td>\n",
       "      <td>2016</td>\n",
       "      <td>Pune</td>\n",
       "      <td>2016-05-01</td>\n",
       "      <td>Rising Pune Supergiants</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>RG Sharma</td>\n",
       "      <td>Maharashtra Cricket Association Stadium</td>\n",
       "      <td>AY Dandekar</td>\n",
       "      <td>RJ Tucker</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>606</th>\n",
       "      <td>607</td>\n",
       "      <td>2016</td>\n",
       "      <td>Rajkot</td>\n",
       "      <td>2016-05-03</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>RR Pant</td>\n",
       "      <td>Saurashtra Cricket Association Stadium</td>\n",
       "      <td>CB Gaffaney</td>\n",
       "      <td>BNJ Oxenford</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>617</th>\n",
       "      <td>618</td>\n",
       "      <td>2016</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>2016-05-12</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>CH Morris</td>\n",
       "      <td>Rajiv Gandhi International Stadium, Uppal</td>\n",
       "      <td>K Bharatan</td>\n",
       "      <td>M Erasmus</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>621</th>\n",
       "      <td>622</td>\n",
       "      <td>2016</td>\n",
       "      <td>Chandigarh</td>\n",
       "      <td>2016-05-15</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>HM Amla</td>\n",
       "      <td>Punjab Cricket Association IS Bindra Stadium, ...</td>\n",
       "      <td>KN Ananthapadmanabhan</td>\n",
       "      <td>M Erasmus</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>628</th>\n",
       "      <td>629</td>\n",
       "      <td>2016</td>\n",
       "      <td>Visakhapatnam</td>\n",
       "      <td>2016-05-21</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>Rising Pune Supergiants</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Rising Pune Supergiants</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>MS Dhoni</td>\n",
       "      <td>Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket St...</td>\n",
       "      <td>HDPK Dharmasena</td>\n",
       "      <td>Nitin Menon</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>629</th>\n",
       "      <td>630</td>\n",
       "      <td>2016</td>\n",
       "      <td>Kanpur</td>\n",
       "      <td>2016-05-21</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>SK Raina</td>\n",
       "      <td>Green Park</td>\n",
       "      <td>AK Chaudhary</td>\n",
       "      <td>CK Nandan</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>630</th>\n",
       "      <td>631</td>\n",
       "      <td>2016</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>2016-05-22</td>\n",
       "      <td>Kolkata Knight Riders</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>Kolkata Knight Riders</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>YK Pathan</td>\n",
       "      <td>Eden Gardens</td>\n",
       "      <td>KN Ananthapadmanabhan</td>\n",
       "      <td>M Erasmus</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>631</th>\n",
       "      <td>632</td>\n",
       "      <td>2016</td>\n",
       "      <td>Raipur</td>\n",
       "      <td>2016-05-22</td>\n",
       "      <td>Delhi Daredevils</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>Royal Challengers Bangalore</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>V Kohli</td>\n",
       "      <td>Shaheed Veer Narayan Singh International Stadium</td>\n",
       "      <td>A Nand Kishore</td>\n",
       "      <td>BNJ Oxenford</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>634</th>\n",
       "      <td>635</td>\n",
       "      <td>2016</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>2016-05-27</td>\n",
       "      <td>Gujarat Lions</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>4</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>Feroz Shah Kotla</td>\n",
       "      <td>M Erasmus</td>\n",
       "      <td>CK Nandan</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>635</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>BCJ Cutting</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>HDPK Dharmasena</td>\n",
       "      <td>BNJ Oxenford</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      id  season            city        date                        team1  \\\n",
       "129  130    2009       Cape Town  2009-04-26              Kings XI Punjab   \n",
       "149  150    2009     East London  2009-05-08               Mumbai Indians   \n",
       "154  155    2009       Kimberley  2009-05-11              Deccan Chargers   \n",
       "161  162    2009  Port Elizabeth  2009-05-16               Mumbai Indians   \n",
       "164  165    2009    Bloemfontein  2009-05-17             Delhi Daredevils   \n",
       "168  169    2009          Durban  2009-05-20          Chennai Super Kings   \n",
       "171  172    2009       Centurion  2009-05-22             Delhi Daredevils   \n",
       "173  174    2009    Johannesburg  2009-05-24              Deccan Chargers   \n",
       "219  220    2010          Nagpur  2010-04-12              Deccan Chargers   \n",
       "277  278    2011           Kochi  2011-05-05         Kochi Tuskers Kerala   \n",
       "293  294    2011          Indore  2011-05-15             Rajasthan Royals   \n",
       "441  442    2013          Jaipur  2013-05-12          Chennai Super Kings   \n",
       "449  450    2013      Dharamsala  2013-05-18              Kings XI Punjab   \n",
       "473  474    2014         Sharjah  2014-04-27          Sunrisers Hyderabad   \n",
       "475  476    2014       Abu Dhabi  2014-04-29             Rajasthan Royals   \n",
       "476  477    2014             NaN  2014-04-30          Sunrisers Hyderabad   \n",
       "496  497    2014         Cuttack  2014-05-14               Mumbai Indians   \n",
       "539  540    2015       Ahmedabad  2015-04-24             Rajasthan Royals   \n",
       "562  563    2015         Chennai  2015-05-10          Chennai Super Kings   \n",
       "574  575    2015          Ranchi  2015-05-22  Royal Challengers Bangalore   \n",
       "599  600    2016          Mumbai  2016-04-28        Kolkata Knight Riders   \n",
       "604  605    2016            Pune  2016-05-01      Rising Pune Supergiants   \n",
       "606  607    2016          Rajkot  2016-05-03                Gujarat Lions   \n",
       "617  618    2016       Hyderabad  2016-05-12          Sunrisers Hyderabad   \n",
       "621  622    2016      Chandigarh  2016-05-15              Kings XI Punjab   \n",
       "628  629    2016   Visakhapatnam  2016-05-21              Kings XI Punjab   \n",
       "629  630    2016          Kanpur  2016-05-21               Mumbai Indians   \n",
       "630  631    2016         Kolkata  2016-05-22        Kolkata Knight Riders   \n",
       "631  632    2016          Raipur  2016-05-22             Delhi Daredevils   \n",
       "634  635    2016           Delhi  2016-05-27                Gujarat Lions   \n",
       "635  636    2016       Bangalore  2016-05-29          Sunrisers Hyderabad   \n",
       "\n",
       "                           team2                  toss_winner toss_decision  \\\n",
       "129             Rajasthan Royals              Kings XI Punjab           bat   \n",
       "149             Delhi Daredevils               Mumbai Indians           bat   \n",
       "154             Rajasthan Royals              Deccan Chargers           bat   \n",
       "161          Chennai Super Kings               Mumbai Indians           bat   \n",
       "164             Rajasthan Royals             Delhi Daredevils           bat   \n",
       "168              Kings XI Punjab          Chennai Super Kings           bat   \n",
       "171              Deccan Chargers              Deccan Chargers         field   \n",
       "173  Royal Challengers Bangalore  Royal Challengers Bangalore         field   \n",
       "219  Royal Challengers Bangalore  Royal Challengers Bangalore         field   \n",
       "277        Kolkata Knight Riders        Kolkata Knight Riders         field   \n",
       "293         Kochi Tuskers Kerala         Kochi Tuskers Kerala         field   \n",
       "441             Rajasthan Royals             Rajasthan Royals         field   \n",
       "449               Mumbai Indians               Mumbai Indians         field   \n",
       "473          Chennai Super Kings          Sunrisers Hyderabad           bat   \n",
       "475        Kolkata Knight Riders             Rajasthan Royals           bat   \n",
       "476               Mumbai Indians               Mumbai Indians         field   \n",
       "496        Kolkata Knight Riders        Kolkata Knight Riders         field   \n",
       "539  Royal Challengers Bangalore  Royal Challengers Bangalore         field   \n",
       "562             Rajasthan Royals          Chennai Super Kings           bat   \n",
       "574          Chennai Super Kings          Chennai Super Kings         field   \n",
       "599               Mumbai Indians               Mumbai Indians         field   \n",
       "604               Mumbai Indians               Mumbai Indians         field   \n",
       "606             Delhi Daredevils             Delhi Daredevils         field   \n",
       "617             Delhi Daredevils             Delhi Daredevils         field   \n",
       "621          Sunrisers Hyderabad              Kings XI Punjab           bat   \n",
       "628      Rising Pune Supergiants              Kings XI Punjab           bat   \n",
       "629                Gujarat Lions                Gujarat Lions         field   \n",
       "630          Sunrisers Hyderabad          Sunrisers Hyderabad         field   \n",
       "631  Royal Challengers Bangalore  Royal Challengers Bangalore         field   \n",
       "634          Sunrisers Hyderabad          Sunrisers Hyderabad         field   \n",
       "635  Royal Challengers Bangalore          Sunrisers Hyderabad           bat   \n",
       "\n",
       "     result  dl_applied                       winner  win_by_runs  \\\n",
       "129  normal           0              Kings XI Punjab           27   \n",
       "149  normal           0             Delhi Daredevils            0   \n",
       "154  normal           0              Deccan Chargers           53   \n",
       "161  normal           0          Chennai Super Kings            0   \n",
       "164  normal           0             Delhi Daredevils           14   \n",
       "168  normal           0          Chennai Super Kings           24   \n",
       "171  normal           0              Deccan Chargers            0   \n",
       "173  normal           0              Deccan Chargers            6   \n",
       "219  normal           0              Deccan Chargers           13   \n",
       "277  normal           0         Kochi Tuskers Kerala           17   \n",
       "293  normal           0         Kochi Tuskers Kerala            0   \n",
       "441  normal           0             Rajasthan Royals            0   \n",
       "449  normal           0              Kings XI Punjab           50   \n",
       "473  normal           0          Chennai Super Kings            0   \n",
       "475     tie           0             Rajasthan Royals            0   \n",
       "476  normal           0          Sunrisers Hyderabad           15   \n",
       "496  normal           0        Kolkata Knight Riders            0   \n",
       "539  normal           0  Royal Challengers Bangalore            0   \n",
       "562  normal           0          Chennai Super Kings           12   \n",
       "574  normal           0          Chennai Super Kings            0   \n",
       "599  normal           0               Mumbai Indians            0   \n",
       "604  normal           0               Mumbai Indians            0   \n",
       "606  normal           0             Delhi Daredevils            0   \n",
       "617  normal           0             Delhi Daredevils            0   \n",
       "621  normal           0          Sunrisers Hyderabad            0   \n",
       "628  normal           0      Rising Pune Supergiants            0   \n",
       "629  normal           0                Gujarat Lions            0   \n",
       "630  normal           0        Kolkata Knight Riders           22   \n",
       "631  normal           0  Royal Challengers Bangalore            0   \n",
       "634  normal           0          Sunrisers Hyderabad            0   \n",
       "635  normal           0          Sunrisers Hyderabad            8   \n",
       "\n",
       "     win_by_wickets player_of_match  \\\n",
       "129               0   KC Sangakkara   \n",
       "149               7         A Nehra   \n",
       "154               0        DR Smith   \n",
       "161               7       ML Hayden   \n",
       "164               0  AB de Villiers   \n",
       "168               0  M Muralitharan   \n",
       "171               6    AC Gilchrist   \n",
       "173               0        A Kumble   \n",
       "219               0   Harmeet Singh   \n",
       "277               0        BJ Hodge   \n",
       "293               8        BJ Hodge   \n",
       "441               5       SR Watson   \n",
       "449               0   Azhar Mahmood   \n",
       "473               5        DR Smith   \n",
       "475               0     JP Faulkner   \n",
       "476               0         B Kumar   \n",
       "496               6      RV Uthappa   \n",
       "539               9        MA Starc   \n",
       "562               0       RA Jadeja   \n",
       "574               3         A Nehra   \n",
       "599               6       RG Sharma   \n",
       "604               8       RG Sharma   \n",
       "606               8         RR Pant   \n",
       "617               7       CH Morris   \n",
       "621               7         HM Amla   \n",
       "628               4        MS Dhoni   \n",
       "629               6        SK Raina   \n",
       "630               0       YK Pathan   \n",
       "631               6         V Kohli   \n",
       "634               4       DA Warner   \n",
       "635               0     BCJ Cutting   \n",
       "\n",
       "                                                 venue                umpire1  \\\n",
       "129                                           Newlands              M Erasmus   \n",
       "149                                       Buffalo Park              M Erasmus   \n",
       "154                              De Beers Diamond Oval             GAV Baxter   \n",
       "161                                   St George's Park            SK Tarapore   \n",
       "164                                    OUTsurance Oval              SS Hazare   \n",
       "168                                          Kingsmead             BG Jerling   \n",
       "171                                    SuperSport Park            BR Doctrove   \n",
       "173                              New Wanderers Stadium            RE Koertzen   \n",
       "219       Vidarbha Cricket Association Stadium, Jamtha            RE Koertzen   \n",
       "277                                      Nehru Stadium                 S Ravi   \n",
       "293                             Holkar Cricket Stadium             PR Reiffel   \n",
       "441                             Sawai Mansingh Stadium        HDPK Dharmasena   \n",
       "449       Himachal Pradesh Cricket Association Stadium        HDPK Dharmasena   \n",
       "473                            Sharjah Cricket Stadium           AK Chaudhary   \n",
       "475                               Sheikh Zayed Stadium              Aleem Dar   \n",
       "476                Dubai International Cricket Stadium        HDPK Dharmasena   \n",
       "496                                   Barabati Stadium           AK Chaudhary   \n",
       "539                       Sardar Patel Stadium, Motera              M Erasmus   \n",
       "562                    MA Chidambaram Stadium, Chepauk              M Erasmus   \n",
       "574                 JSCA International Stadium Complex           AK Chaudhary   \n",
       "599                                   Wankhede Stadium            Nitin Menon   \n",
       "604            Maharashtra Cricket Association Stadium            AY Dandekar   \n",
       "606             Saurashtra Cricket Association Stadium            CB Gaffaney   \n",
       "617          Rajiv Gandhi International Stadium, Uppal             K Bharatan   \n",
       "621  Punjab Cricket Association IS Bindra Stadium, ...  KN Ananthapadmanabhan   \n",
       "628  Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket St...        HDPK Dharmasena   \n",
       "629                                         Green Park           AK Chaudhary   \n",
       "630                                       Eden Gardens  KN Ananthapadmanabhan   \n",
       "631   Shaheed Veer Narayan Singh International Stadium         A Nand Kishore   \n",
       "634                                   Feroz Shah Kotla              M Erasmus   \n",
       "635                              M Chinnaswamy Stadium        HDPK Dharmasena   \n",
       "\n",
       "             umpire2  umpire3  \n",
       "129      K Hariharan      NaN  \n",
       "149      SK Tarapore      NaN  \n",
       "154  HDPK Dharmasena      NaN  \n",
       "161       SJA Taufel      NaN  \n",
       "164        IL Howell      NaN  \n",
       "168       SJA Taufel      NaN  \n",
       "171        DJ Harper      NaN  \n",
       "173       SJA Taufel      NaN  \n",
       "219        RB Tiffin      NaN  \n",
       "277        RJ Tucker      NaN  \n",
       "293        RJ Tucker      NaN  \n",
       "441        CK Nandan      NaN  \n",
       "449        CK Nandan      NaN  \n",
       "473      VA Kulkarni      NaN  \n",
       "475     AK Chaudhary      NaN  \n",
       "476        M Erasmus      NaN  \n",
       "496         NJ Llong      NaN  \n",
       "539           S Ravi      NaN  \n",
       "562        CK Nandan      NaN  \n",
       "574      CB Gaffaney      NaN  \n",
       "599        RJ Tucker      NaN  \n",
       "604        RJ Tucker      NaN  \n",
       "606     BNJ Oxenford      NaN  \n",
       "617        M Erasmus      NaN  \n",
       "621        M Erasmus      NaN  \n",
       "628      Nitin Menon      NaN  \n",
       "629        CK Nandan      NaN  \n",
       "630        M Erasmus      NaN  \n",
       "631     BNJ Oxenford      NaN  \n",
       "634        CK Nandan      NaN  \n",
       "635     BNJ Oxenford      NaN  "
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "match.drop_duplicates(subset=['city'],keep='last')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3 style=\"color:#00a65a\">Exercise 7 : List down all the IPL winning teams year-wise?</h3>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 25. The groupby() method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "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>season</th>\n",
       "      <th>winner</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>2017</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>2008</td>\n",
       "      <td>Rajasthan Royals</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>2009</td>\n",
       "      <td>Deccan Chargers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>2010</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>306</th>\n",
       "      <td>2011</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>380</th>\n",
       "      <td>2012</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>2013</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>516</th>\n",
       "      <td>2014</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>575</th>\n",
       "      <td>2015</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>635</th>\n",
       "      <td>2016</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     season                 winner\n",
       "58     2017         Mumbai Indians\n",
       "116    2008       Rajasthan Royals\n",
       "173    2009        Deccan Chargers\n",
       "233    2010    Chennai Super Kings\n",
       "306    2011    Chennai Super Kings\n",
       "380    2012  Kolkata Knight Riders\n",
       "456    2013         Mumbai Indians\n",
       "516    2014  Kolkata Knight Riders\n",
       "575    2015         Mumbai Indians\n",
       "635    2016    Sunrisers Hyderabad"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "match.drop_duplicates(subset=['season'],keep='last')[['season','winner']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rank</th>\n",
       "      <th>Title</th>\n",
       "      <th>Employees</th>\n",
       "      <th>Sector</th>\n",
       "      <th>Industry</th>\n",
       "      <th>Hqlocation</th>\n",
       "      <th>Revenues</th>\n",
       "      <th>Profits</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Walmart</td>\n",
       "      <td>2300000</td>\n",
       "      <td>Retailing</td>\n",
       "      <td>General Merchandisers</td>\n",
       "      <td>Bentonville, AR</td>\n",
       "      <td>485873</td>\n",
       "      <td>13643.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Berkshire Hathaway</td>\n",
       "      <td>367700</td>\n",
       "      <td>Financials</td>\n",
       "      <td>Insurance: Property and Casualty (Stock)</td>\n",
       "      <td>Omaha, NE</td>\n",
       "      <td>223604</td>\n",
       "      <td>24074.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Apple</td>\n",
       "      <td>116000</td>\n",
       "      <td>Technology</td>\n",
       "      <td>Computers, Office Equipment</td>\n",
       "      <td>Cupertino, CA</td>\n",
       "      <td>215639</td>\n",
       "      <td>45687.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Exxon Mobil</td>\n",
       "      <td>72700</td>\n",
       "      <td>Energy</td>\n",
       "      <td>Petroleum Refining</td>\n",
       "      <td>Irving, TX</td>\n",
       "      <td>205004</td>\n",
       "      <td>7840.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>McKesson</td>\n",
       "      <td>68000</td>\n",
       "      <td>Wholesalers</td>\n",
       "      <td>Wholesalers: Health Care</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>192487</td>\n",
       "      <td>2258.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>UnitedHealth Group</td>\n",
       "      <td>230000</td>\n",
       "      <td>Health Care</td>\n",
       "      <td>Health Care: Insurance and Managed Care</td>\n",
       "      <td>Minnetonka, MN</td>\n",
       "      <td>184840</td>\n",
       "      <td>7017.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>CVS Health</td>\n",
       "      <td>204000</td>\n",
       "      <td>Health Care</td>\n",
       "      <td>Health Care: Pharmacy and Other Services</td>\n",
       "      <td>Woonsocket, RI</td>\n",
       "      <td>177526</td>\n",
       "      <td>5317.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>General Motors</td>\n",
       "      <td>225000</td>\n",
       "      <td>Motor Vehicles &amp; Parts</td>\n",
       "      <td>Motor Vehicles and Parts</td>\n",
       "      <td>Detroit, MI</td>\n",
       "      <td>166380</td>\n",
       "      <td>9427.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>AT&amp;T</td>\n",
       "      <td>268540</td>\n",
       "      <td>Telecommunications</td>\n",
       "      <td>Telecommunications</td>\n",
       "      <td>Dallas, TX</td>\n",
       "      <td>163786</td>\n",
       "      <td>12976.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>Ford Motor</td>\n",
       "      <td>201000</td>\n",
       "      <td>Motor Vehicles &amp; Parts</td>\n",
       "      <td>Motor Vehicles and Parts</td>\n",
       "      <td>Dearborn, MI</td>\n",
       "      <td>151800</td>\n",
       "      <td>4596.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>AmerisourceBergen</td>\n",
       "      <td>18500</td>\n",
       "      <td>Wholesalers</td>\n",
       "      <td>Wholesalers: Health Care</td>\n",
       "      <td>Chesterbrook, PA</td>\n",
       "      <td>146850</td>\n",
       "      <td>1427.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>Amazon.com</td>\n",
       "      <td>341400</td>\n",
       "      <td>Technology</td>\n",
       "      <td>Internet Services and Retailing</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>135987</td>\n",
       "      <td>2371.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>General Electric</td>\n",
       "      <td>295000</td>\n",
       "      <td>Industrials</td>\n",
       "      <td>Industrial Machinery</td>\n",
       "      <td>Boston, MA</td>\n",
       "      <td>126661</td>\n",
       "      <td>8831.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>Verizon</td>\n",
       "      <td>160900</td>\n",
       "      <td>Telecommunications</td>\n",
       "      <td>Telecommunications</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>125980</td>\n",
       "      <td>13127.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>Cardinal Health</td>\n",
       "      <td>37300</td>\n",
       "      <td>Wholesalers</td>\n",
       "      <td>Wholesalers: Health Care</td>\n",
       "      <td>Dublin, OH</td>\n",
       "      <td>121546</td>\n",
       "      <td>1427.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>Costco</td>\n",
       "      <td>172000</td>\n",
       "      <td>Retailing</td>\n",
       "      <td>General Merchandisers</td>\n",
       "      <td>Issaquah, WA</td>\n",
       "      <td>118719</td>\n",
       "      <td>2350.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>Walgreens Boots Alliance</td>\n",
       "      <td>300000</td>\n",
       "      <td>Food &amp; Drug Stores</td>\n",
       "      <td>Food and Drug Stores</td>\n",
       "      <td>Deerfield, IL</td>\n",
       "      <td>117351</td>\n",
       "      <td>4173.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>Kroger</td>\n",
       "      <td>443000</td>\n",
       "      <td>Food &amp; Drug Stores</td>\n",
       "      <td>Food and Drug Stores</td>\n",
       "      <td>Cincinnati, OH</td>\n",
       "      <td>115337</td>\n",
       "      <td>1975.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>Chevron</td>\n",
       "      <td>55200</td>\n",
       "      <td>Energy</td>\n",
       "      <td>Petroleum Refining</td>\n",
       "      <td>San Ramon, CA</td>\n",
       "      <td>107567</td>\n",
       "      <td>-497.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>Fannie Mae</td>\n",
       "      <td>7000</td>\n",
       "      <td>Financials</td>\n",
       "      <td>Diversified Financials</td>\n",
       "      <td>Washington, DC</td>\n",
       "      <td>107162</td>\n",
       "      <td>12313.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>J.P. Morgan Chase</td>\n",
       "      <td>243355</td>\n",
       "      <td>Financials</td>\n",
       "      <td>Commercial Banks</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>105486</td>\n",
       "      <td>24733.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>Express Scripts Holding</td>\n",
       "      <td>25600</td>\n",
       "      <td>Health Care</td>\n",
       "      <td>Health Care: Pharmacy and Other Services</td>\n",
       "      <td>St. Louis, MO</td>\n",
       "      <td>100288</td>\n",
       "      <td>3404.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>Home Depot</td>\n",
       "      <td>406000</td>\n",
       "      <td>Retailing</td>\n",
       "      <td>Specialty Retailers: Other</td>\n",
       "      <td>Atlanta, GA</td>\n",
       "      <td>94595</td>\n",
       "      <td>7957.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24</td>\n",
       "      <td>Boeing</td>\n",
       "      <td>150540</td>\n",
       "      <td>Aerospace &amp; Defense</td>\n",
       "      <td>Aerospace and Defense</td>\n",
       "      <td>Chicago, IL</td>\n",
       "      <td>94571</td>\n",
       "      <td>4895.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25</td>\n",
       "      <td>Wells Fargo</td>\n",
       "      <td>269100</td>\n",
       "      <td>Financials</td>\n",
       "      <td>Commercial Banks</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>94176</td>\n",
       "      <td>21938.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26</td>\n",
       "      <td>Bank of America Corp.</td>\n",
       "      <td>208024</td>\n",
       "      <td>Financials</td>\n",
       "      <td>Commercial Banks</td>\n",
       "      <td>Charlotte, NC</td>\n",
       "      <td>93662</td>\n",
       "      <td>17906.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27</td>\n",
       "      <td>Alphabet</td>\n",
       "      <td>72053</td>\n",
       "      <td>Technology</td>\n",
       "      <td>Internet Services and Retailing</td>\n",
       "      <td>Mountain View, CA</td>\n",
       "      <td>90272</td>\n",
       "      <td>19478.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>114000</td>\n",
       "      <td>Technology</td>\n",
       "      <td>Computer Software</td>\n",
       "      <td>Redmond, WA</td>\n",
       "      <td>85320</td>\n",
       "      <td>16798.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29</td>\n",
       "      <td>Anthem</td>\n",
       "      <td>53000</td>\n",
       "      <td>Health Care</td>\n",
       "      <td>Health Care: Insurance and Managed Care</td>\n",
       "      <td>Indianapolis, IN</td>\n",
       "      <td>84863</td>\n",
       "      <td>2469.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>Citigroup</td>\n",
       "      <td>219000</td>\n",
       "      <td>Financials</td>\n",
       "      <td>Commercial Banks</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>82386</td>\n",
       "      <td>14912.0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>470</th>\n",
       "      <td>471</td>\n",
       "      <td>Fiserv</td>\n",
       "      <td>23000</td>\n",
       "      <td>Business Services</td>\n",
       "      <td>Financial Data Services</td>\n",
       "      <td>Brookfield, WI</td>\n",
       "      <td>5505</td>\n",
       "      <td>930.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>471</th>\n",
       "      <td>472</td>\n",
       "      <td>Host Hotels &amp; Resorts</td>\n",
       "      <td>220</td>\n",
       "      <td>Financials</td>\n",
       "      <td>Real Estate</td>\n",
       "      <td>Bethesda, MD</td>\n",
       "      <td>5488</td>\n",
       "      <td>762.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>473</td>\n",
       "      <td>Insight Enterprises</td>\n",
       "      <td>5930</td>\n",
       "      <td>Wholesalers</td>\n",
       "      <td>Wholesalers: Electronics and Office Equipment</td>\n",
       "      <td>Tempe, AZ</td>\n",
       "      <td>5486</td>\n",
       "      <td>84.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>474</td>\n",
       "      <td>Mattel</td>\n",
       "      <td>32000</td>\n",
       "      <td>Household Products</td>\n",
       "      <td>Toys, Sporting Goods</td>\n",
       "      <td>El Segundo, CA</td>\n",
       "      <td>5457</td>\n",
       "      <td>318.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>475</td>\n",
       "      <td>AmTrust Financial Services</td>\n",
       "      <td>8000</td>\n",
       "      <td>Financials</td>\n",
       "      <td>Insurance: Property and Casualty (Stock)</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>5451</td>\n",
       "      <td>411.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>476</td>\n",
       "      <td>Cincinnati Financial</td>\n",
       "      <td>4754</td>\n",
       "      <td>Financials</td>\n",
       "      <td>Insurance: Property and Casualty (Stock)</td>\n",
       "      <td>Fairfield, OH</td>\n",
       "      <td>5449</td>\n",
       "      <td>590.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>477</td>\n",
       "      <td>Simon Property Group</td>\n",
       "      <td>4050</td>\n",
       "      <td>Financials</td>\n",
       "      <td>Real Estate</td>\n",
       "      <td>Indianapolis, IN</td>\n",
       "      <td>5435</td>\n",
       "      <td>1838.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477</th>\n",
       "      <td>478</td>\n",
       "      <td>Western Union</td>\n",
       "      <td>10700</td>\n",
       "      <td>Business Services</td>\n",
       "      <td>Financial Data Services</td>\n",
       "      <td>Englewood, CO</td>\n",
       "      <td>5423</td>\n",
       "      <td>253.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>478</th>\n",
       "      <td>479</td>\n",
       "      <td>KeyCorp</td>\n",
       "      <td>15700</td>\n",
       "      <td>Financials</td>\n",
       "      <td>Commercial Banks</td>\n",
       "      <td>Cleveland, OH</td>\n",
       "      <td>5422</td>\n",
       "      <td>791.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>479</th>\n",
       "      <td>480</td>\n",
       "      <td>Delek US Holdings</td>\n",
       "      <td>1326</td>\n",
       "      <td>Energy</td>\n",
       "      <td>Petroleum Refining</td>\n",
       "      <td>Brentwood, TN</td>\n",
       "      <td>5414</td>\n",
       "      <td>-153.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>480</th>\n",
       "      <td>481</td>\n",
       "      <td>Booz Allen Hamilton Holding</td>\n",
       "      <td>22600</td>\n",
       "      <td>Technology</td>\n",
       "      <td>Information Technology Services</td>\n",
       "      <td>McLean, VA</td>\n",
       "      <td>5406</td>\n",
       "      <td>294.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>481</th>\n",
       "      <td>482</td>\n",
       "      <td>Chemours</td>\n",
       "      <td>7000</td>\n",
       "      <td>Chemicals</td>\n",
       "      <td>Chemicals</td>\n",
       "      <td>Wilmington, DE</td>\n",
       "      <td>5400</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>482</th>\n",
       "      <td>483</td>\n",
       "      <td>Western &amp; Southern Financial Group</td>\n",
       "      <td>2178</td>\n",
       "      <td>Financials</td>\n",
       "      <td>Insurance: Life, Health (Mutual)</td>\n",
       "      <td>Cincinnati, OH</td>\n",
       "      <td>5398</td>\n",
       "      <td>241.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>483</th>\n",
       "      <td>484</td>\n",
       "      <td>Celanese</td>\n",
       "      <td>7293</td>\n",
       "      <td>Chemicals</td>\n",
       "      <td>Chemicals</td>\n",
       "      <td>Irving, TX</td>\n",
       "      <td>5389</td>\n",
       "      <td>900.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>484</th>\n",
       "      <td>485</td>\n",
       "      <td>Windstream Holdings</td>\n",
       "      <td>11870</td>\n",
       "      <td>Telecommunications</td>\n",
       "      <td>Telecommunications</td>\n",
       "      <td>Little Rock, AR</td>\n",
       "      <td>5387</td>\n",
       "      <td>-383.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>485</th>\n",
       "      <td>486</td>\n",
       "      <td>Seaboard</td>\n",
       "      <td>11781</td>\n",
       "      <td>Food, Beverages &amp; Tobacco</td>\n",
       "      <td>Food Production</td>\n",
       "      <td>Merriam, KS</td>\n",
       "      <td>5379</td>\n",
       "      <td>312.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>486</th>\n",
       "      <td>487</td>\n",
       "      <td>Essendant</td>\n",
       "      <td>6600</td>\n",
       "      <td>Wholesalers</td>\n",
       "      <td>Wholesalers: Electronics and Office Equipment</td>\n",
       "      <td>Deerfield, IL</td>\n",
       "      <td>5369</td>\n",
       "      <td>63.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>487</th>\n",
       "      <td>488</td>\n",
       "      <td>Apache</td>\n",
       "      <td>3727</td>\n",
       "      <td>Energy</td>\n",
       "      <td>Mining, Crude-Oil Production</td>\n",
       "      <td>Houston, TX</td>\n",
       "      <td>5354</td>\n",
       "      <td>-1405.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>488</th>\n",
       "      <td>489</td>\n",
       "      <td>Airgas</td>\n",
       "      <td>17000</td>\n",
       "      <td>Wholesalers</td>\n",
       "      <td>Wholesalers: Diversified</td>\n",
       "      <td>Radnor, PA</td>\n",
       "      <td>5314</td>\n",
       "      <td>337.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>489</th>\n",
       "      <td>490</td>\n",
       "      <td>Kelly Services</td>\n",
       "      <td>7500</td>\n",
       "      <td>Business Services</td>\n",
       "      <td>Temporary Help</td>\n",
       "      <td>Troy, MI</td>\n",
       "      <td>5277</td>\n",
       "      <td>120.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>490</th>\n",
       "      <td>491</td>\n",
       "      <td>Liberty Media</td>\n",
       "      <td>3626</td>\n",
       "      <td>Media</td>\n",
       "      <td>Entertainment</td>\n",
       "      <td>Englewood, CO</td>\n",
       "      <td>5276</td>\n",
       "      <td>680.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>491</th>\n",
       "      <td>492</td>\n",
       "      <td>Rockwell Collins</td>\n",
       "      <td>19000</td>\n",
       "      <td>Aerospace &amp; Defense</td>\n",
       "      <td>Aerospace and Defense</td>\n",
       "      <td>Cedar Rapids, IA</td>\n",
       "      <td>5259</td>\n",
       "      <td>728.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>492</th>\n",
       "      <td>493</td>\n",
       "      <td>Robert Half International</td>\n",
       "      <td>16400</td>\n",
       "      <td>Business Services</td>\n",
       "      <td>Temporary Help</td>\n",
       "      <td>Menlo Park, CA</td>\n",
       "      <td>5250</td>\n",
       "      <td>343.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>493</th>\n",
       "      <td>494</td>\n",
       "      <td>CH2M Hill</td>\n",
       "      <td>20000</td>\n",
       "      <td>Engineering &amp; Construction</td>\n",
       "      <td>Engineering, Construction</td>\n",
       "      <td>Englewood, CO</td>\n",
       "      <td>5236</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>494</th>\n",
       "      <td>495</td>\n",
       "      <td>Big Lots</td>\n",
       "      <td>23150</td>\n",
       "      <td>Retailing</td>\n",
       "      <td>Specialty Retailers: Other</td>\n",
       "      <td>Columbus, OH</td>\n",
       "      <td>5200</td>\n",
       "      <td>152.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>495</th>\n",
       "      <td>496</td>\n",
       "      <td>Michaels Cos.</td>\n",
       "      <td>31000</td>\n",
       "      <td>Retailing</td>\n",
       "      <td>Specialty Retailers: Other</td>\n",
       "      <td>Irving, TX</td>\n",
       "      <td>5197</td>\n",
       "      <td>378.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>496</th>\n",
       "      <td>497</td>\n",
       "      <td>Toll Brothers</td>\n",
       "      <td>4200</td>\n",
       "      <td>Engineering &amp; Construction</td>\n",
       "      <td>Homebuilders</td>\n",
       "      <td>Horsham, PA</td>\n",
       "      <td>5170</td>\n",
       "      <td>382.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>497</th>\n",
       "      <td>498</td>\n",
       "      <td>Yahoo</td>\n",
       "      <td>8500</td>\n",
       "      <td>Technology</td>\n",
       "      <td>Internet Services and Retailing</td>\n",
       "      <td>Sunnyvale, CA</td>\n",
       "      <td>5169</td>\n",
       "      <td>-214.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>498</th>\n",
       "      <td>499</td>\n",
       "      <td>Vistra Energy</td>\n",
       "      <td>4431</td>\n",
       "      <td>Energy</td>\n",
       "      <td>Energy</td>\n",
       "      <td>Dallas, TX</td>\n",
       "      <td>5164</td>\n",
       "      <td>-214.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>499</th>\n",
       "      <td>500</td>\n",
       "      <td>ABM Industries</td>\n",
       "      <td>110000</td>\n",
       "      <td>Business Services</td>\n",
       "      <td>Diversified Outsourcing Services</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>5145</td>\n",
       "      <td>57.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>500 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Rank                               Title  Employees  \\\n",
       "0       1                             Walmart    2300000   \n",
       "1       2                  Berkshire Hathaway     367700   \n",
       "2       3                               Apple     116000   \n",
       "3       4                         Exxon Mobil      72700   \n",
       "4       5                            McKesson      68000   \n",
       "5       6                  UnitedHealth Group     230000   \n",
       "6       7                          CVS Health     204000   \n",
       "7       8                      General Motors     225000   \n",
       "8       9                                AT&T     268540   \n",
       "9      10                          Ford Motor     201000   \n",
       "10     11                   AmerisourceBergen      18500   \n",
       "11     12                          Amazon.com     341400   \n",
       "12     13                    General Electric     295000   \n",
       "13     14                             Verizon     160900   \n",
       "14     15                     Cardinal Health      37300   \n",
       "15     16                              Costco     172000   \n",
       "16     17            Walgreens Boots Alliance     300000   \n",
       "17     18                              Kroger     443000   \n",
       "18     19                             Chevron      55200   \n",
       "19     20                          Fannie Mae       7000   \n",
       "20     21                   J.P. Morgan Chase     243355   \n",
       "21     22             Express Scripts Holding      25600   \n",
       "22     23                          Home Depot     406000   \n",
       "23     24                              Boeing     150540   \n",
       "24     25                         Wells Fargo     269100   \n",
       "25     26               Bank of America Corp.     208024   \n",
       "26     27                            Alphabet      72053   \n",
       "27     28                           Microsoft     114000   \n",
       "28     29                              Anthem      53000   \n",
       "29     30                           Citigroup     219000   \n",
       "..    ...                                 ...        ...   \n",
       "470   471                              Fiserv      23000   \n",
       "471   472               Host Hotels & Resorts        220   \n",
       "472   473                 Insight Enterprises       5930   \n",
       "473   474                              Mattel      32000   \n",
       "474   475          AmTrust Financial Services       8000   \n",
       "475   476                Cincinnati Financial       4754   \n",
       "476   477                Simon Property Group       4050   \n",
       "477   478                       Western Union      10700   \n",
       "478   479                             KeyCorp      15700   \n",
       "479   480                   Delek US Holdings       1326   \n",
       "480   481         Booz Allen Hamilton Holding      22600   \n",
       "481   482                            Chemours       7000   \n",
       "482   483  Western & Southern Financial Group       2178   \n",
       "483   484                            Celanese       7293   \n",
       "484   485                 Windstream Holdings      11870   \n",
       "485   486                            Seaboard      11781   \n",
       "486   487                           Essendant       6600   \n",
       "487   488                              Apache       3727   \n",
       "488   489                              Airgas      17000   \n",
       "489   490                      Kelly Services       7500   \n",
       "490   491                       Liberty Media       3626   \n",
       "491   492                    Rockwell Collins      19000   \n",
       "492   493           Robert Half International      16400   \n",
       "493   494                           CH2M Hill      20000   \n",
       "494   495                            Big Lots      23150   \n",
       "495   496                       Michaels Cos.      31000   \n",
       "496   497                       Toll Brothers       4200   \n",
       "497   498                               Yahoo       8500   \n",
       "498   499                       Vistra Energy       4431   \n",
       "499   500                      ABM Industries     110000   \n",
       "\n",
       "                         Sector  \\\n",
       "0                     Retailing   \n",
       "1                    Financials   \n",
       "2                    Technology   \n",
       "3                        Energy   \n",
       "4                   Wholesalers   \n",
       "5                   Health Care   \n",
       "6                   Health Care   \n",
       "7        Motor Vehicles & Parts   \n",
       "8            Telecommunications   \n",
       "9        Motor Vehicles & Parts   \n",
       "10                  Wholesalers   \n",
       "11                   Technology   \n",
       "12                  Industrials   \n",
       "13           Telecommunications   \n",
       "14                  Wholesalers   \n",
       "15                    Retailing   \n",
       "16           Food & Drug Stores   \n",
       "17           Food & Drug Stores   \n",
       "18                       Energy   \n",
       "19                   Financials   \n",
       "20                   Financials   \n",
       "21                  Health Care   \n",
       "22                    Retailing   \n",
       "23          Aerospace & Defense   \n",
       "24                   Financials   \n",
       "25                   Financials   \n",
       "26                   Technology   \n",
       "27                   Technology   \n",
       "28                  Health Care   \n",
       "29                   Financials   \n",
       "..                          ...   \n",
       "470           Business Services   \n",
       "471                  Financials   \n",
       "472                 Wholesalers   \n",
       "473          Household Products   \n",
       "474                  Financials   \n",
       "475                  Financials   \n",
       "476                  Financials   \n",
       "477           Business Services   \n",
       "478                  Financials   \n",
       "479                      Energy   \n",
       "480                  Technology   \n",
       "481                   Chemicals   \n",
       "482                  Financials   \n",
       "483                   Chemicals   \n",
       "484          Telecommunications   \n",
       "485   Food, Beverages & Tobacco   \n",
       "486                 Wholesalers   \n",
       "487                      Energy   \n",
       "488                 Wholesalers   \n",
       "489           Business Services   \n",
       "490                       Media   \n",
       "491         Aerospace & Defense   \n",
       "492           Business Services   \n",
       "493  Engineering & Construction   \n",
       "494                   Retailing   \n",
       "495                   Retailing   \n",
       "496  Engineering & Construction   \n",
       "497                  Technology   \n",
       "498                      Energy   \n",
       "499           Business Services   \n",
       "\n",
       "                                          Industry         Hqlocation  \\\n",
       "0                            General Merchandisers    Bentonville, AR   \n",
       "1         Insurance: Property and Casualty (Stock)          Omaha, NE   \n",
       "2                      Computers, Office Equipment      Cupertino, CA   \n",
       "3                               Petroleum Refining         Irving, TX   \n",
       "4                         Wholesalers: Health Care  San Francisco, CA   \n",
       "5          Health Care: Insurance and Managed Care     Minnetonka, MN   \n",
       "6         Health Care: Pharmacy and Other Services     Woonsocket, RI   \n",
       "7                         Motor Vehicles and Parts        Detroit, MI   \n",
       "8                               Telecommunications         Dallas, TX   \n",
       "9                         Motor Vehicles and Parts       Dearborn, MI   \n",
       "10                        Wholesalers: Health Care   Chesterbrook, PA   \n",
       "11                 Internet Services and Retailing        Seattle, WA   \n",
       "12                            Industrial Machinery         Boston, MA   \n",
       "13                              Telecommunications       New York, NY   \n",
       "14                        Wholesalers: Health Care         Dublin, OH   \n",
       "15                           General Merchandisers       Issaquah, WA   \n",
       "16                            Food and Drug Stores      Deerfield, IL   \n",
       "17                            Food and Drug Stores     Cincinnati, OH   \n",
       "18                              Petroleum Refining      San Ramon, CA   \n",
       "19                          Diversified Financials     Washington, DC   \n",
       "20                                Commercial Banks       New York, NY   \n",
       "21        Health Care: Pharmacy and Other Services      St. Louis, MO   \n",
       "22                      Specialty Retailers: Other        Atlanta, GA   \n",
       "23                           Aerospace and Defense        Chicago, IL   \n",
       "24                                Commercial Banks  San Francisco, CA   \n",
       "25                                Commercial Banks      Charlotte, NC   \n",
       "26                 Internet Services and Retailing  Mountain View, CA   \n",
       "27                               Computer Software        Redmond, WA   \n",
       "28         Health Care: Insurance and Managed Care   Indianapolis, IN   \n",
       "29                                Commercial Banks       New York, NY   \n",
       "..                                             ...                ...   \n",
       "470                        Financial Data Services     Brookfield, WI   \n",
       "471                                    Real Estate       Bethesda, MD   \n",
       "472  Wholesalers: Electronics and Office Equipment          Tempe, AZ   \n",
       "473                           Toys, Sporting Goods     El Segundo, CA   \n",
       "474       Insurance: Property and Casualty (Stock)       New York, NY   \n",
       "475       Insurance: Property and Casualty (Stock)      Fairfield, OH   \n",
       "476                                    Real Estate   Indianapolis, IN   \n",
       "477                        Financial Data Services      Englewood, CO   \n",
       "478                               Commercial Banks      Cleveland, OH   \n",
       "479                             Petroleum Refining      Brentwood, TN   \n",
       "480                Information Technology Services         McLean, VA   \n",
       "481                                      Chemicals     Wilmington, DE   \n",
       "482               Insurance: Life, Health (Mutual)     Cincinnati, OH   \n",
       "483                                      Chemicals         Irving, TX   \n",
       "484                             Telecommunications    Little Rock, AR   \n",
       "485                                Food Production        Merriam, KS   \n",
       "486  Wholesalers: Electronics and Office Equipment      Deerfield, IL   \n",
       "487                   Mining, Crude-Oil Production        Houston, TX   \n",
       "488                       Wholesalers: Diversified         Radnor, PA   \n",
       "489                                 Temporary Help           Troy, MI   \n",
       "490                                  Entertainment      Englewood, CO   \n",
       "491                          Aerospace and Defense   Cedar Rapids, IA   \n",
       "492                                 Temporary Help     Menlo Park, CA   \n",
       "493                      Engineering, Construction      Englewood, CO   \n",
       "494                     Specialty Retailers: Other       Columbus, OH   \n",
       "495                     Specialty Retailers: Other         Irving, TX   \n",
       "496                                   Homebuilders        Horsham, PA   \n",
       "497                Internet Services and Retailing      Sunnyvale, CA   \n",
       "498                                         Energy         Dallas, TX   \n",
       "499               Diversified Outsourcing Services       New York, NY   \n",
       "\n",
       "     Revenues  Profits  \n",
       "0      485873  13643.0  \n",
       "1      223604  24074.0  \n",
       "2      215639  45687.0  \n",
       "3      205004   7840.0  \n",
       "4      192487   2258.0  \n",
       "5      184840   7017.0  \n",
       "6      177526   5317.0  \n",
       "7      166380   9427.0  \n",
       "8      163786  12976.0  \n",
       "9      151800   4596.0  \n",
       "10     146850   1427.9  \n",
       "11     135987   2371.0  \n",
       "12     126661   8831.0  \n",
       "13     125980  13127.0  \n",
       "14     121546   1427.0  \n",
       "15     118719   2350.0  \n",
       "16     117351   4173.0  \n",
       "17     115337   1975.0  \n",
       "18     107567   -497.0  \n",
       "19     107162  12313.0  \n",
       "20     105486  24733.0  \n",
       "21     100288   3404.4  \n",
       "22      94595   7957.0  \n",
       "23      94571   4895.0  \n",
       "24      94176  21938.0  \n",
       "25      93662  17906.0  \n",
       "26      90272  19478.0  \n",
       "27      85320  16798.0  \n",
       "28      84863   2469.8  \n",
       "29      82386  14912.0  \n",
       "..        ...      ...  \n",
       "470      5505    930.0  \n",
       "471      5488    762.0  \n",
       "472      5486     84.7  \n",
       "473      5457    318.0  \n",
       "474      5451    411.0  \n",
       "475      5449    590.7  \n",
       "476      5435   1838.9  \n",
       "477      5423    253.2  \n",
       "478      5422    791.0  \n",
       "479      5414   -153.7  \n",
       "480      5406    294.1  \n",
       "481      5400      7.0  \n",
       "482      5398    241.2  \n",
       "483      5389    900.0  \n",
       "484      5387   -383.5  \n",
       "485      5379    312.0  \n",
       "486      5369     63.9  \n",
       "487      5354  -1405.0  \n",
       "488      5314    337.5  \n",
       "489      5277    120.8  \n",
       "490      5276    680.0  \n",
       "491      5259    728.0  \n",
       "492      5250    343.4  \n",
       "493      5236     15.0  \n",
       "494      5200    152.8  \n",
       "495      5197    378.2  \n",
       "496      5170    382.1  \n",
       "497      5169   -214.3  \n",
       "498      5164   -214.3  \n",
       "499      5145     57.2  \n",
       "\n",
       "[500 rows x 8 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "company"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'company' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-1-1ce840cea446>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0msectors\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mcompany\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgroupby\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'Sector'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'company' is not defined"
     ]
    }
   ],
   "source": [
    "sectors=company.groupby('Sector')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'sectors' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-2-40b21edc6dd7>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0msectors\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msize\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'sectors' is not defined"
     ]
    }
   ],
   "source": [
    "sectors.size()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rank</th>\n",
       "      <th>Title</th>\n",
       "      <th>Employees</th>\n",
       "      <th>Sector</th>\n",
       "      <th>Industry</th>\n",
       "      <th>Hqlocation</th>\n",
       "      <th>Revenues</th>\n",
       "      <th>Profits</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24</td>\n",
       "      <td>Boeing</td>\n",
       "      <td>150540</td>\n",
       "      <td>Aerospace &amp; Defense</td>\n",
       "      <td>Aerospace and Defense</td>\n",
       "      <td>Chicago, IL</td>\n",
       "      <td>94571</td>\n",
       "      <td>4895.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>50</td>\n",
       "      <td>United Technologies</td>\n",
       "      <td>201600</td>\n",
       "      <td>Aerospace &amp; Defense</td>\n",
       "      <td>Aerospace and Defense</td>\n",
       "      <td>Farmington, CT</td>\n",
       "      <td>57244</td>\n",
       "      <td>5055.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>56</td>\n",
       "      <td>Lockheed Martin</td>\n",
       "      <td>97000</td>\n",
       "      <td>Aerospace &amp; Defense</td>\n",
       "      <td>Aerospace and Defense</td>\n",
       "      <td>Bethesda, MD</td>\n",
       "      <td>50658</td>\n",
       "      <td>5302.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>90</td>\n",
       "      <td>General Dynamics</td>\n",
       "      <td>98800</td>\n",
       "      <td>Aerospace &amp; Defense</td>\n",
       "      <td>Aerospace and Defense</td>\n",
       "      <td>Falls Church, VA</td>\n",
       "      <td>31353</td>\n",
       "      <td>2955.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>114</td>\n",
       "      <td>Northrop Grumman</td>\n",
       "      <td>67000</td>\n",
       "      <td>Aerospace &amp; Defense</td>\n",
       "      <td>Aerospace and Defense</td>\n",
       "      <td>Falls Church, VA</td>\n",
       "      <td>24508</td>\n",
       "      <td>2200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>116</td>\n",
       "      <td>Raytheon</td>\n",
       "      <td>63000</td>\n",
       "      <td>Aerospace &amp; Defense</td>\n",
       "      <td>Aerospace and Defense</td>\n",
       "      <td>Waltham, MA</td>\n",
       "      <td>24069</td>\n",
       "      <td>2211.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>200</td>\n",
       "      <td>Textron</td>\n",
       "      <td>36000</td>\n",
       "      <td>Aerospace &amp; Defense</td>\n",
       "      <td>Aerospace and Defense</td>\n",
       "      <td>Providence, RI</td>\n",
       "      <td>13788</td>\n",
       "      <td>962.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>228</td>\n",
       "      <td>Arconic</td>\n",
       "      <td>41500</td>\n",
       "      <td>Aerospace &amp; Defense</td>\n",
       "      <td>Aerospace and Defense</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>12394</td>\n",
       "      <td>-941.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>273</td>\n",
       "      <td>L3 Technologies</td>\n",
       "      <td>38000</td>\n",
       "      <td>Aerospace &amp; Defense</td>\n",
       "      <td>Aerospace and Defense</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>10597</td>\n",
       "      <td>710.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>379</th>\n",
       "      <td>380</td>\n",
       "      <td>Huntington Ingalls Industries</td>\n",
       "      <td>37000</td>\n",
       "      <td>Aerospace &amp; Defense</td>\n",
       "      <td>Aerospace and Defense</td>\n",
       "      <td>Newport News, VA</td>\n",
       "      <td>7068</td>\n",
       "      <td>573.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>392</th>\n",
       "      <td>393</td>\n",
       "      <td>Spirit AeroSystems Holdings</td>\n",
       "      <td>14400</td>\n",
       "      <td>Aerospace &amp; Defense</td>\n",
       "      <td>Aerospace and Defense</td>\n",
       "      <td>Wichita, KS</td>\n",
       "      <td>6793</td>\n",
       "      <td>469.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>491</th>\n",
       "      <td>492</td>\n",
       "      <td>Rockwell Collins</td>\n",
       "      <td>19000</td>\n",
       "      <td>Aerospace &amp; Defense</td>\n",
       "      <td>Aerospace and Defense</td>\n",
       "      <td>Cedar Rapids, IA</td>\n",
       "      <td>5259</td>\n",
       "      <td>728.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Rank                          Title  Employees               Sector  \\\n",
       "23     24                         Boeing     150540  Aerospace & Defense   \n",
       "49     50            United Technologies     201600  Aerospace & Defense   \n",
       "55     56                Lockheed Martin      97000  Aerospace & Defense   \n",
       "89     90               General Dynamics      98800  Aerospace & Defense   \n",
       "113   114               Northrop Grumman      67000  Aerospace & Defense   \n",
       "115   116                       Raytheon      63000  Aerospace & Defense   \n",
       "199   200                        Textron      36000  Aerospace & Defense   \n",
       "227   228                        Arconic      41500  Aerospace & Defense   \n",
       "272   273                L3 Technologies      38000  Aerospace & Defense   \n",
       "379   380  Huntington Ingalls Industries      37000  Aerospace & Defense   \n",
       "392   393    Spirit AeroSystems Holdings      14400  Aerospace & Defense   \n",
       "491   492               Rockwell Collins      19000  Aerospace & Defense   \n",
       "\n",
       "                  Industry        Hqlocation  Revenues  Profits  \n",
       "23   Aerospace and Defense       Chicago, IL     94571   4895.0  \n",
       "49   Aerospace and Defense    Farmington, CT     57244   5055.0  \n",
       "55   Aerospace and Defense      Bethesda, MD     50658   5302.0  \n",
       "89   Aerospace and Defense  Falls Church, VA     31353   2955.0  \n",
       "113  Aerospace and Defense  Falls Church, VA     24508   2200.0  \n",
       "115  Aerospace and Defense       Waltham, MA     24069   2211.0  \n",
       "199  Aerospace and Defense    Providence, RI     13788    962.0  \n",
       "227  Aerospace and Defense      New York, NY     12394   -941.0  \n",
       "272  Aerospace and Defense      New York, NY     10597    710.0  \n",
       "379  Aerospace and Defense  Newport News, VA      7068    573.0  \n",
       "392  Aerospace and Defense       Wichita, KS      6793    469.7  \n",
       "491  Aerospace and Defense  Cedar Rapids, IA      5259    728.0  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sectors.get_group('Aerospace & Defense')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Sector\n",
       "Technology                       4137.241860\n",
       "Telecommunications               4127.280000\n",
       "Health Care                      2773.260526\n",
       "Financials                       2719.776190\n",
       "Food, Beverages & Tobacco        2346.183333\n",
       "Aerospace & Defense              2093.308333\n",
       "Motor Vehicles & Parts           1919.533333\n",
       "Media                            1821.336364\n",
       "Industrials                      1727.689474\n",
       "Transportation                   1670.294118\n",
       "Household Products               1650.308333\n",
       "Hotels, Restaurants & Leisure    1451.060000\n",
       "Apparel                          1263.700000\n",
       "Food & Drug Stores               1217.428571\n",
       "Business Services                1155.355000\n",
       "Chemicals                        1137.021429\n",
       "Retailing                         991.785106\n",
       "Wholesalers                       391.279310\n",
       "Engineering & Construction        390.169231\n",
       "Materials                         272.468421\n",
       "Energy                              6.501754\n",
       "Name: Profits, dtype: float64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sectors.mean()['Profits'].sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
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       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>caught</td>\n",
       "      <td>Mandeep Singh</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>MC Henriques</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>A Choudhary</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>MC Henriques</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>A Choudhary</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>MC Henriques</td>\n",
       "      <td>TS Mills</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>MC Henriques</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>TS Mills</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>MC Henriques</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>TS Mills</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>MC Henriques</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>TS Mills</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>MC Henriques</td>\n",
       "      <td>TS Mills</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>MC Henriques</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>TS Mills</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>MC Henriques</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>YS Chahal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>MC Henriques</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>YS Chahal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>MC Henriques</td>\n",
       "      <td>YS Chahal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>MC Henriques</td>\n",
       "      <td>YS Chahal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>MC Henriques</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>YS Chahal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>MC Henriques</td>\n",
       "      <td>YS Chahal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>MC Henriques</td>\n",
       "      <td>S Aravind</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>MC Henriques</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>S Aravind</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>MC Henriques</td>\n",
       "      <td>S Aravind</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>MC Henriques</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>S Aravind</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150430</th>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>KL Rahul</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>BCJ Cutting</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150431</th>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>16</td>\n",
       "      <td>2</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>KL Rahul</td>\n",
       "      <td>BCJ Cutting</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150432</th>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>16</td>\n",
       "      <td>3</td>\n",
       "      <td>KL Rahul</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>BCJ Cutting</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>KL Rahul</td>\n",
       "      <td>bowled</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150433</th>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>16</td>\n",
       "      <td>4</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>BCJ Cutting</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150434</th>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>16</td>\n",
       "      <td>5</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>BCJ Cutting</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150435</th>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>16</td>\n",
       "      <td>6</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>BCJ Cutting</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150436</th>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>Mustafizur Rahman</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150437</th>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>17</td>\n",
       "      <td>2</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>Mustafizur Rahman</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150438</th>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>Mustafizur Rahman</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>caught</td>\n",
       "      <td>MC Henriques</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150439</th>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>17</td>\n",
       "      <td>4</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>STR Binny</td>\n",
       "      <td>Mustafizur Rahman</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150440</th>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>17</td>\n",
       "      <td>5</td>\n",
       "      <td>STR Binny</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>Mustafizur Rahman</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150441</th>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>17</td>\n",
       "      <td>6</td>\n",
       "      <td>STR Binny</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>Mustafizur Rahman</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150442</th>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>STR Binny</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150443</th>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>18</td>\n",
       "      <td>2</td>\n",
       "      <td>STR Binny</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150444</th>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>18</td>\n",
       "      <td>3</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>STR Binny</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150445</th>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>18</td>\n",
       "      <td>4</td>\n",
       "      <td>STR Binny</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150446</th>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>18</td>\n",
       "      <td>5</td>\n",
       "      <td>STR Binny</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150447</th>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>18</td>\n",
       "      <td>6</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>STR Binny</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150448</th>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>19</td>\n",
       "      <td>1</td>\n",
       "      <td>STR Binny</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>Mustafizur Rahman</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>STR Binny</td>\n",
       "      <td>run out</td>\n",
       "      <td>DJ Hooda</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150449</th>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>19</td>\n",
       "      <td>2</td>\n",
       "      <td>CJ Jordan</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>Mustafizur Rahman</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150450</th>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>CJ Jordan</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>Mustafizur Rahman</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150451</th>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>19</td>\n",
       "      <td>4</td>\n",
       "      <td>CJ Jordan</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>Mustafizur Rahman</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150452</th>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>19</td>\n",
       "      <td>5</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>CJ Jordan</td>\n",
       "      <td>Mustafizur Rahman</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150453</th>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>19</td>\n",
       "      <td>6</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>CJ Jordan</td>\n",
       "      <td>Mustafizur Rahman</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150454</th>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>CJ Jordan</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150455</th>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>20</td>\n",
       "      <td>2</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>CJ Jordan</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150456</th>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>20</td>\n",
       "      <td>3</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>CJ Jordan</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>CJ Jordan</td>\n",
       "      <td>run out</td>\n",
       "      <td>NV Ojha</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150457</th>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>20</td>\n",
       "      <td>4</td>\n",
       "      <td>Iqbal Abdulla</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150458</th>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>20</td>\n",
       "      <td>5</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>Iqbal Abdulla</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150459</th>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>20</td>\n",
       "      <td>6</td>\n",
       "      <td>Iqbal Abdulla</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>150460 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        match_id  inning                 batting_team  \\\n",
       "0              1       1          Sunrisers Hyderabad   \n",
       "1              1       1          Sunrisers Hyderabad   \n",
       "2              1       1          Sunrisers Hyderabad   \n",
       "3              1       1          Sunrisers Hyderabad   \n",
       "4              1       1          Sunrisers Hyderabad   \n",
       "5              1       1          Sunrisers Hyderabad   \n",
       "6              1       1          Sunrisers Hyderabad   \n",
       "7              1       1          Sunrisers Hyderabad   \n",
       "8              1       1          Sunrisers Hyderabad   \n",
       "9              1       1          Sunrisers Hyderabad   \n",
       "10             1       1          Sunrisers Hyderabad   \n",
       "11             1       1          Sunrisers Hyderabad   \n",
       "12             1       1          Sunrisers Hyderabad   \n",
       "13             1       1          Sunrisers Hyderabad   \n",
       "14             1       1          Sunrisers Hyderabad   \n",
       "15             1       1          Sunrisers Hyderabad   \n",
       "16             1       1          Sunrisers Hyderabad   \n",
       "17             1       1          Sunrisers Hyderabad   \n",
       "18             1       1          Sunrisers Hyderabad   \n",
       "19             1       1          Sunrisers Hyderabad   \n",
       "20             1       1          Sunrisers Hyderabad   \n",
       "21             1       1          Sunrisers Hyderabad   \n",
       "22             1       1          Sunrisers Hyderabad   \n",
       "23             1       1          Sunrisers Hyderabad   \n",
       "24             1       1          Sunrisers Hyderabad   \n",
       "25             1       1          Sunrisers Hyderabad   \n",
       "26             1       1          Sunrisers Hyderabad   \n",
       "27             1       1          Sunrisers Hyderabad   \n",
       "28             1       1          Sunrisers Hyderabad   \n",
       "29             1       1          Sunrisers Hyderabad   \n",
       "...          ...     ...                          ...   \n",
       "150430       636       2  Royal Challengers Bangalore   \n",
       "150431       636       2  Royal Challengers Bangalore   \n",
       "150432       636       2  Royal Challengers Bangalore   \n",
       "150433       636       2  Royal Challengers Bangalore   \n",
       "150434       636       2  Royal Challengers Bangalore   \n",
       "150435       636       2  Royal Challengers Bangalore   \n",
       "150436       636       2  Royal Challengers Bangalore   \n",
       "150437       636       2  Royal Challengers Bangalore   \n",
       "150438       636       2  Royal Challengers Bangalore   \n",
       "150439       636       2  Royal Challengers Bangalore   \n",
       "150440       636       2  Royal Challengers Bangalore   \n",
       "150441       636       2  Royal Challengers Bangalore   \n",
       "150442       636       2  Royal Challengers Bangalore   \n",
       "150443       636       2  Royal Challengers Bangalore   \n",
       "150444       636       2  Royal Challengers Bangalore   \n",
       "150445       636       2  Royal Challengers Bangalore   \n",
       "150446       636       2  Royal Challengers Bangalore   \n",
       "150447       636       2  Royal Challengers Bangalore   \n",
       "150448       636       2  Royal Challengers Bangalore   \n",
       "150449       636       2  Royal Challengers Bangalore   \n",
       "150450       636       2  Royal Challengers Bangalore   \n",
       "150451       636       2  Royal Challengers Bangalore   \n",
       "150452       636       2  Royal Challengers Bangalore   \n",
       "150453       636       2  Royal Challengers Bangalore   \n",
       "150454       636       2  Royal Challengers Bangalore   \n",
       "150455       636       2  Royal Challengers Bangalore   \n",
       "150456       636       2  Royal Challengers Bangalore   \n",
       "150457       636       2  Royal Challengers Bangalore   \n",
       "150458       636       2  Royal Challengers Bangalore   \n",
       "150459       636       2  Royal Challengers Bangalore   \n",
       "\n",
       "                       bowling_team  over  ball        batsman    non_striker  \\\n",
       "0       Royal Challengers Bangalore     1     1      DA Warner       S Dhawan   \n",
       "1       Royal Challengers Bangalore     1     2      DA Warner       S Dhawan   \n",
       "2       Royal Challengers Bangalore     1     3      DA Warner       S Dhawan   \n",
       "3       Royal Challengers Bangalore     1     4      DA Warner       S Dhawan   \n",
       "4       Royal Challengers Bangalore     1     5      DA Warner       S Dhawan   \n",
       "5       Royal Challengers Bangalore     1     6       S Dhawan      DA Warner   \n",
       "6       Royal Challengers Bangalore     1     7       S Dhawan      DA Warner   \n",
       "7       Royal Challengers Bangalore     2     1       S Dhawan      DA Warner   \n",
       "8       Royal Challengers Bangalore     2     2      DA Warner       S Dhawan   \n",
       "9       Royal Challengers Bangalore     2     3      DA Warner       S Dhawan   \n",
       "10      Royal Challengers Bangalore     2     4      DA Warner       S Dhawan   \n",
       "11      Royal Challengers Bangalore     2     5      DA Warner       S Dhawan   \n",
       "12      Royal Challengers Bangalore     2     6   MC Henriques       S Dhawan   \n",
       "13      Royal Challengers Bangalore     2     7   MC Henriques       S Dhawan   \n",
       "14      Royal Challengers Bangalore     3     1       S Dhawan   MC Henriques   \n",
       "15      Royal Challengers Bangalore     3     2   MC Henriques       S Dhawan   \n",
       "16      Royal Challengers Bangalore     3     3   MC Henriques       S Dhawan   \n",
       "17      Royal Challengers Bangalore     3     4   MC Henriques       S Dhawan   \n",
       "18      Royal Challengers Bangalore     3     5       S Dhawan   MC Henriques   \n",
       "19      Royal Challengers Bangalore     3     6   MC Henriques       S Dhawan   \n",
       "20      Royal Challengers Bangalore     4     1   MC Henriques       S Dhawan   \n",
       "21      Royal Challengers Bangalore     4     2   MC Henriques       S Dhawan   \n",
       "22      Royal Challengers Bangalore     4     3       S Dhawan   MC Henriques   \n",
       "23      Royal Challengers Bangalore     4     4       S Dhawan   MC Henriques   \n",
       "24      Royal Challengers Bangalore     4     5   MC Henriques       S Dhawan   \n",
       "25      Royal Challengers Bangalore     4     6       S Dhawan   MC Henriques   \n",
       "26      Royal Challengers Bangalore     5     1       S Dhawan   MC Henriques   \n",
       "27      Royal Challengers Bangalore     5     2   MC Henriques       S Dhawan   \n",
       "28      Royal Challengers Bangalore     5     3       S Dhawan   MC Henriques   \n",
       "29      Royal Challengers Bangalore     5     4   MC Henriques       S Dhawan   \n",
       "...                             ...   ...   ...            ...            ...   \n",
       "150430          Sunrisers Hyderabad    16     1       KL Rahul      SR Watson   \n",
       "150431          Sunrisers Hyderabad    16     2      SR Watson       KL Rahul   \n",
       "150432          Sunrisers Hyderabad    16     3       KL Rahul      SR Watson   \n",
       "150433          Sunrisers Hyderabad    16     4    Sachin Baby      SR Watson   \n",
       "150434          Sunrisers Hyderabad    16     5    Sachin Baby      SR Watson   \n",
       "150435          Sunrisers Hyderabad    16     6      SR Watson    Sachin Baby   \n",
       "150436          Sunrisers Hyderabad    17     1      SR Watson    Sachin Baby   \n",
       "150437          Sunrisers Hyderabad    17     2      SR Watson    Sachin Baby   \n",
       "150438          Sunrisers Hyderabad    17     3      SR Watson    Sachin Baby   \n",
       "150439          Sunrisers Hyderabad    17     4    Sachin Baby      STR Binny   \n",
       "150440          Sunrisers Hyderabad    17     5      STR Binny    Sachin Baby   \n",
       "150441          Sunrisers Hyderabad    17     6      STR Binny    Sachin Baby   \n",
       "150442          Sunrisers Hyderabad    18     1      STR Binny    Sachin Baby   \n",
       "150443          Sunrisers Hyderabad    18     2      STR Binny    Sachin Baby   \n",
       "150444          Sunrisers Hyderabad    18     3    Sachin Baby      STR Binny   \n",
       "150445          Sunrisers Hyderabad    18     4      STR Binny    Sachin Baby   \n",
       "150446          Sunrisers Hyderabad    18     5      STR Binny    Sachin Baby   \n",
       "150447          Sunrisers Hyderabad    18     6    Sachin Baby      STR Binny   \n",
       "150448          Sunrisers Hyderabad    19     1      STR Binny    Sachin Baby   \n",
       "150449          Sunrisers Hyderabad    19     2      CJ Jordan    Sachin Baby   \n",
       "150450          Sunrisers Hyderabad    19     3      CJ Jordan    Sachin Baby   \n",
       "150451          Sunrisers Hyderabad    19     4      CJ Jordan    Sachin Baby   \n",
       "150452          Sunrisers Hyderabad    19     5    Sachin Baby      CJ Jordan   \n",
       "150453          Sunrisers Hyderabad    19     6    Sachin Baby      CJ Jordan   \n",
       "150454          Sunrisers Hyderabad    20     1      CJ Jordan    Sachin Baby   \n",
       "150455          Sunrisers Hyderabad    20     2    Sachin Baby      CJ Jordan   \n",
       "150456          Sunrisers Hyderabad    20     3    Sachin Baby      CJ Jordan   \n",
       "150457          Sunrisers Hyderabad    20     4  Iqbal Abdulla    Sachin Baby   \n",
       "150458          Sunrisers Hyderabad    20     5    Sachin Baby  Iqbal Abdulla   \n",
       "150459          Sunrisers Hyderabad    20     6  Iqbal Abdulla    Sachin Baby   \n",
       "\n",
       "                   bowler  is_super_over  ...  bye_runs  legbye_runs  \\\n",
       "0                TS Mills              0  ...         0            0   \n",
       "1                TS Mills              0  ...         0            0   \n",
       "2                TS Mills              0  ...         0            0   \n",
       "3                TS Mills              0  ...         0            0   \n",
       "4                TS Mills              0  ...         0            0   \n",
       "5                TS Mills              0  ...         0            0   \n",
       "6                TS Mills              0  ...         0            1   \n",
       "7             A Choudhary              0  ...         0            0   \n",
       "8             A Choudhary              0  ...         0            0   \n",
       "9             A Choudhary              0  ...         0            0   \n",
       "10            A Choudhary              0  ...         0            0   \n",
       "11            A Choudhary              0  ...         0            0   \n",
       "12            A Choudhary              0  ...         0            0   \n",
       "13            A Choudhary              0  ...         0            0   \n",
       "14               TS Mills              0  ...         0            0   \n",
       "15               TS Mills              0  ...         0            0   \n",
       "16               TS Mills              0  ...         0            0   \n",
       "17               TS Mills              0  ...         0            0   \n",
       "18               TS Mills              0  ...         0            0   \n",
       "19               TS Mills              0  ...         0            0   \n",
       "20              YS Chahal              0  ...         0            0   \n",
       "21              YS Chahal              0  ...         0            0   \n",
       "22              YS Chahal              0  ...         0            0   \n",
       "23              YS Chahal              0  ...         0            0   \n",
       "24              YS Chahal              0  ...         0            0   \n",
       "25              YS Chahal              0  ...         0            0   \n",
       "26              S Aravind              0  ...         0            0   \n",
       "27              S Aravind              0  ...         0            0   \n",
       "28              S Aravind              0  ...         0            0   \n",
       "29              S Aravind              0  ...         0            0   \n",
       "...                   ...            ...  ...       ...          ...   \n",
       "150430        BCJ Cutting              0  ...         0            0   \n",
       "150431        BCJ Cutting              0  ...         0            0   \n",
       "150432        BCJ Cutting              0  ...         0            0   \n",
       "150433        BCJ Cutting              0  ...         0            0   \n",
       "150434        BCJ Cutting              0  ...         0            0   \n",
       "150435        BCJ Cutting              0  ...         0            0   \n",
       "150436  Mustafizur Rahman              0  ...         0            0   \n",
       "150437  Mustafizur Rahman              0  ...         0            0   \n",
       "150438  Mustafizur Rahman              0  ...         0            0   \n",
       "150439  Mustafizur Rahman              0  ...         0            0   \n",
       "150440  Mustafizur Rahman              0  ...         0            0   \n",
       "150441  Mustafizur Rahman              0  ...         0            0   \n",
       "150442            B Kumar              0  ...         0            0   \n",
       "150443            B Kumar              0  ...         0            0   \n",
       "150444            B Kumar              0  ...         0            0   \n",
       "150445            B Kumar              0  ...         0            0   \n",
       "150446            B Kumar              0  ...         0            1   \n",
       "150447            B Kumar              0  ...         0            0   \n",
       "150448  Mustafizur Rahman              0  ...         0            0   \n",
       "150449  Mustafizur Rahman              0  ...         0            0   \n",
       "150450  Mustafizur Rahman              0  ...         0            0   \n",
       "150451  Mustafizur Rahman              0  ...         0            1   \n",
       "150452  Mustafizur Rahman              0  ...         0            0   \n",
       "150453  Mustafizur Rahman              0  ...         0            0   \n",
       "150454            B Kumar              0  ...         0            0   \n",
       "150455            B Kumar              0  ...         0            0   \n",
       "150456            B Kumar              0  ...         0            0   \n",
       "150457            B Kumar              0  ...         0            1   \n",
       "150458            B Kumar              0  ...         0            0   \n",
       "150459            B Kumar              0  ...         0            0   \n",
       "\n",
       "        noball_runs  penalty_runs  batsman_runs  extra_runs  total_runs  \\\n",
       "0                 0             0             0           0           0   \n",
       "1                 0             0             0           0           0   \n",
       "2                 0             0             4           0           4   \n",
       "3                 0             0             0           0           0   \n",
       "4                 0             0             0           2           2   \n",
       "5                 0             0             0           0           0   \n",
       "6                 0             0             0           1           1   \n",
       "7                 0             0             1           0           1   \n",
       "8                 0             0             4           0           4   \n",
       "9                 1             0             0           1           1   \n",
       "10                0             0             6           0           6   \n",
       "11                0             0             0           0           0   \n",
       "12                0             0             0           0           0   \n",
       "13                0             0             4           0           4   \n",
       "14                0             0             1           0           1   \n",
       "15                0             0             0           0           0   \n",
       "16                0             0             0           0           0   \n",
       "17                0             0             3           0           3   \n",
       "18                0             0             1           0           1   \n",
       "19                0             0             1           0           1   \n",
       "20                0             0             0           0           0   \n",
       "21                0             0             1           0           1   \n",
       "22                0             0             0           0           0   \n",
       "23                0             0             1           0           1   \n",
       "24                0             0             1           0           1   \n",
       "25                0             0             1           0           1   \n",
       "26                0             0             1           0           1   \n",
       "27                0             0             1           0           1   \n",
       "28                0             0             1           0           1   \n",
       "29                0             0             2           0           2   \n",
       "...             ...           ...           ...         ...         ...   \n",
       "150430            0             0             1           0           1   \n",
       "150431            0             0             1           0           1   \n",
       "150432            0             0             0           0           0   \n",
       "150433            0             0             0           0           0   \n",
       "150434            0             0             1           0           1   \n",
       "150435            0             0             1           0           1   \n",
       "150436            0             0             0           0           0   \n",
       "150437            0             0             2           0           2   \n",
       "150438            0             0             0           0           0   \n",
       "150439            0             0             1           0           1   \n",
       "150440            0             0             6           0           6   \n",
       "150441            0             0             1           0           1   \n",
       "150442            0             0             0           0           0   \n",
       "150443            0             0             1           0           1   \n",
       "150444            0             0             1           0           1   \n",
       "150445            0             0             0           0           0   \n",
       "150446            0             0             0           1           1   \n",
       "150447            0             0             4           0           4   \n",
       "150448            0             0             1           0           1   \n",
       "150449            0             0             2           0           2   \n",
       "150450            0             0             0           0           0   \n",
       "150451            0             0             0           1           1   \n",
       "150452            0             0             2           0           2   \n",
       "150453            0             0             6           0           6   \n",
       "150454            0             0             1           0           1   \n",
       "150455            0             0             2           0           2   \n",
       "150456            0             0             0           0           0   \n",
       "150457            0             0             0           1           1   \n",
       "150458            0             0             1           0           1   \n",
       "150459            0             0             4           0           4   \n",
       "\n",
       "        player_dismissed dismissal_kind        fielder  \n",
       "0                    NaN            NaN            NaN  \n",
       "1                    NaN            NaN            NaN  \n",
       "2                    NaN            NaN            NaN  \n",
       "3                    NaN            NaN            NaN  \n",
       "4                    NaN            NaN            NaN  \n",
       "5                    NaN            NaN            NaN  \n",
       "6                    NaN            NaN            NaN  \n",
       "7                    NaN            NaN            NaN  \n",
       "8                    NaN            NaN            NaN  \n",
       "9                    NaN            NaN            NaN  \n",
       "10                   NaN            NaN            NaN  \n",
       "11             DA Warner         caught  Mandeep Singh  \n",
       "12                   NaN            NaN            NaN  \n",
       "13                   NaN            NaN            NaN  \n",
       "14                   NaN            NaN            NaN  \n",
       "15                   NaN            NaN            NaN  \n",
       "16                   NaN            NaN            NaN  \n",
       "17                   NaN            NaN            NaN  \n",
       "18                   NaN            NaN            NaN  \n",
       "19                   NaN            NaN            NaN  \n",
       "20                   NaN            NaN            NaN  \n",
       "21                   NaN            NaN            NaN  \n",
       "22                   NaN            NaN            NaN  \n",
       "23                   NaN            NaN            NaN  \n",
       "24                   NaN            NaN            NaN  \n",
       "25                   NaN            NaN            NaN  \n",
       "26                   NaN            NaN            NaN  \n",
       "27                   NaN            NaN            NaN  \n",
       "28                   NaN            NaN            NaN  \n",
       "29                   NaN            NaN            NaN  \n",
       "...                  ...            ...            ...  \n",
       "150430               NaN            NaN            NaN  \n",
       "150431               NaN            NaN            NaN  \n",
       "150432          KL Rahul         bowled            NaN  \n",
       "150433               NaN            NaN            NaN  \n",
       "150434               NaN            NaN            NaN  \n",
       "150435               NaN            NaN            NaN  \n",
       "150436               NaN            NaN            NaN  \n",
       "150437               NaN            NaN            NaN  \n",
       "150438         SR Watson         caught   MC Henriques  \n",
       "150439               NaN            NaN            NaN  \n",
       "150440               NaN            NaN            NaN  \n",
       "150441               NaN            NaN            NaN  \n",
       "150442               NaN            NaN            NaN  \n",
       "150443               NaN            NaN            NaN  \n",
       "150444               NaN            NaN            NaN  \n",
       "150445               NaN            NaN            NaN  \n",
       "150446               NaN            NaN            NaN  \n",
       "150447               NaN            NaN            NaN  \n",
       "150448         STR Binny        run out       DJ Hooda  \n",
       "150449               NaN            NaN            NaN  \n",
       "150450               NaN            NaN            NaN  \n",
       "150451               NaN            NaN            NaN  \n",
       "150452               NaN            NaN            NaN  \n",
       "150453               NaN            NaN            NaN  \n",
       "150454               NaN            NaN            NaN  \n",
       "150455               NaN            NaN            NaN  \n",
       "150456         CJ Jordan        run out        NV Ojha  \n",
       "150457               NaN            NaN            NaN  \n",
       "150458               NaN            NaN            NaN  \n",
       "150459               NaN            NaN            NaN  \n",
       "\n",
       "[150460 rows x 21 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "delivery"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [],
   "source": [
    "def add(a,b):\n",
    "    print(a+b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7\n"
     ]
    }
   ],
   "source": [
    "add(3,4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "a=match['team1']==\"Kolkata Knight Riders\"\n",
    "b=match['team2']==\"Rajasthan Royals\"\n",
    "x=match['winner']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3 style=\"color:#00a65a\">Exercise 8 : Find the top 5 most successful batsman in the hostory of IPL</h3>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "461"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "delivery['batsman'].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "batsman\n",
       "SK Raina     4548\n",
       "V Kohli      4423\n",
       "RG Sharma    4207\n",
       "G Gambhir    4132\n",
       "DA Warner    4014\n",
       "Name: batsman_runs, dtype: int64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "delivery.groupby('batsman').sum()['batsman_runs'].sort_values(ascending=False).head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3 style=\"color:#00a65a\">Exercise 9 : Find the top 5 batsman who have hit the most number of 6's</h3>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "batsman\n",
       "CH Gayle     266\n",
       "SK Raina     174\n",
       "RG Sharma    173\n",
       "DA Warner    160\n",
       "V Kohli      160\n",
       "Name: batsman_runs, dtype: int64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "delivery[delivery['batsman_runs']==6].groupby('batsman').count()['batsman_runs'].sort_values(ascending=False).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3 style=\"color:#00a65a\">Exercise 10 : Find the top 5 bowlers</h3>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(6673, 21)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "delivery['dismissal_kind'].value_counts()\n",
    "\n",
    "\n",
    "mask1=delivery['dismissal_kind']=='caught'\n",
    "mask2=delivery['dismissal_kind']=='bowled'\n",
    "mask3=delivery['dismissal_kind']=='lbw'\n",
    "mask4=delivery['dismissal_kind']=='stumped'\n",
    "mask5=delivery['dismissal_kind']=='caught and bowled'\n",
    "mask6=delivery['dismissal_kind']=='hit wicket'\n",
    "\n",
    "wicket=delivery[mask1 | mask2 | mask3 | mask4 | mask5 | mask6]\n",
    "wicket.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "bowler\n",
       "SL Malinga         154\n",
       "A Mishra           134\n",
       "Harbhajan Singh    127\n",
       "PP Chawla          126\n",
       "DJ Bravo           122\n",
       "Name: batsman_runs, dtype: int64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wicket.groupby('bowler').count()['batsman_runs'].sort_values(ascending=False).head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3 style=\"color:#00a65a\">Exercise 11 : Against which team has Virat Kohli scored most number of his runs?</h3>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Chennai Super Kings'"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "delivery[delivery['batsman']=='V Kohli'].groupby('bowling_team').sum()['batsman_runs'].sort_values(ascending=False).head().index[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "def batsmanVteam(batsman_name):\n",
    "    superv=delivery[delivery['batsman']==batsman_name]\n",
    "    team=super.groupby('bowling_team').sum()['batsman_runs'].sort_values(ascending=False)\n",
    "    print(team)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3 style=\"color:#00a65a\">Exercise 12 : Against which bowler has R?</h3>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "bowler\n",
       "PP Chawla    136\n",
       "M Morkel     119\n",
       "UT Yadav     110\n",
       "R Bhatia     100\n",
       "SP Narine     87\n",
       "Name: batsman_runs, dtype: int64"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "delivery[delivery['batsman']=='RG Sharma'].groupby('bowler').sum()['batsman_runs'].sort_values(ascending=False).head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Orange cap holder "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "mega=match.merge(delivery,left_on='id',right_on='match_id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "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>...</th>\n",
       "      <th>bye_runs</th>\n",
       "      <th>legbye_runs</th>\n",
       "      <th>noball_runs</th>\n",
       "      <th>penalty_runs</th>\n",
       "      <th>batsman_runs</th>\n",
       "      <th>extra_runs</th>\n",
       "      <th>total_runs</th>\n",
       "      <th>player_dismissed</th>\n",
       "      <th>dismissal_kind</th>\n",
       "      <th>fielder</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>caught</td>\n",
       "      <td>Mandeep Singh</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150430</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150431</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150432</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>KL Rahul</td>\n",
       "      <td>bowled</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150433</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150434</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150435</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150436</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150437</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150438</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>caught</td>\n",
       "      <td>MC Henriques</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150439</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150440</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150441</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150442</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150443</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150444</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150445</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150446</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150447</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150448</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>STR Binny</td>\n",
       "      <td>run out</td>\n",
       "      <td>DJ Hooda</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150449</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150450</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150451</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150452</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150453</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150454</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150455</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150456</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>CJ Jordan</td>\n",
       "      <td>run out</td>\n",
       "      <td>NV Ojha</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150457</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150458</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150459</th>\n",
       "      <td>636</td>\n",
       "      <td>2016</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>150460 rows × 39 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         id  season       city        date                team1  \\\n",
       "0         1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "1         1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "2         1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "3         1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "4         1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "5         1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "6         1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "7         1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "8         1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "9         1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "10        1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "11        1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "12        1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "13        1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "14        1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "15        1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "16        1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "17        1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "18        1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "19        1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "20        1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "21        1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "22        1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "23        1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "24        1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "25        1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "26        1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "27        1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "28        1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "29        1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "...     ...     ...        ...         ...                  ...   \n",
       "150430  636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "150431  636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "150432  636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "150433  636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "150434  636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "150435  636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "150436  636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "150437  636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "150438  636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "150439  636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "150440  636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "150441  636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "150442  636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "150443  636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "150444  636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "150445  636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "150446  636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "150447  636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "150448  636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "150449  636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "150450  636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "150451  636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "150452  636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "150453  636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "150454  636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "150455  636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "150456  636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "150457  636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "150458  636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "150459  636    2016  Bangalore  2016-05-29  Sunrisers Hyderabad   \n",
       "\n",
       "                              team2                  toss_winner  \\\n",
       "0       Royal Challengers Bangalore  Royal Challengers Bangalore   \n",
       "1       Royal Challengers Bangalore  Royal Challengers Bangalore   \n",
       "2       Royal Challengers Bangalore  Royal Challengers Bangalore   \n",
       "3       Royal Challengers Bangalore  Royal Challengers Bangalore   \n",
       "4       Royal Challengers Bangalore  Royal Challengers Bangalore   \n",
       "5       Royal Challengers Bangalore  Royal Challengers Bangalore   \n",
       "6       Royal Challengers Bangalore  Royal Challengers Bangalore   \n",
       "7       Royal Challengers Bangalore  Royal Challengers Bangalore   \n",
       "8       Royal Challengers Bangalore  Royal Challengers Bangalore   \n",
       "9       Royal Challengers Bangalore  Royal Challengers Bangalore   \n",
       "10      Royal Challengers Bangalore  Royal Challengers Bangalore   \n",
       "11      Royal Challengers Bangalore  Royal Challengers Bangalore   \n",
       "12      Royal Challengers Bangalore  Royal Challengers Bangalore   \n",
       "13      Royal Challengers Bangalore  Royal Challengers Bangalore   \n",
       "14      Royal Challengers Bangalore  Royal Challengers Bangalore   \n",
       "15      Royal Challengers Bangalore  Royal Challengers Bangalore   \n",
       "16      Royal Challengers Bangalore  Royal Challengers Bangalore   \n",
       "17      Royal Challengers Bangalore  Royal Challengers Bangalore   \n",
       "18      Royal Challengers Bangalore  Royal Challengers Bangalore   \n",
       "19      Royal Challengers Bangalore  Royal Challengers Bangalore   \n",
       "20      Royal Challengers Bangalore  Royal Challengers Bangalore   \n",
       "21      Royal Challengers Bangalore  Royal Challengers Bangalore   \n",
       "22      Royal Challengers Bangalore  Royal Challengers Bangalore   \n",
       "23      Royal Challengers Bangalore  Royal Challengers Bangalore   \n",
       "24      Royal Challengers Bangalore  Royal Challengers Bangalore   \n",
       "25      Royal Challengers Bangalore  Royal Challengers Bangalore   \n",
       "26      Royal Challengers Bangalore  Royal Challengers Bangalore   \n",
       "27      Royal Challengers Bangalore  Royal Challengers Bangalore   \n",
       "28      Royal Challengers Bangalore  Royal Challengers Bangalore   \n",
       "29      Royal Challengers Bangalore  Royal Challengers Bangalore   \n",
       "...                             ...                          ...   \n",
       "150430  Royal Challengers Bangalore          Sunrisers Hyderabad   \n",
       "150431  Royal Challengers Bangalore          Sunrisers Hyderabad   \n",
       "150432  Royal Challengers Bangalore          Sunrisers Hyderabad   \n",
       "150433  Royal Challengers Bangalore          Sunrisers Hyderabad   \n",
       "150434  Royal Challengers Bangalore          Sunrisers Hyderabad   \n",
       "150435  Royal Challengers Bangalore          Sunrisers Hyderabad   \n",
       "150436  Royal Challengers Bangalore          Sunrisers Hyderabad   \n",
       "150437  Royal Challengers Bangalore          Sunrisers Hyderabad   \n",
       "150438  Royal Challengers Bangalore          Sunrisers Hyderabad   \n",
       "150439  Royal Challengers Bangalore          Sunrisers Hyderabad   \n",
       "150440  Royal Challengers Bangalore          Sunrisers Hyderabad   \n",
       "150441  Royal Challengers Bangalore          Sunrisers Hyderabad   \n",
       "150442  Royal Challengers Bangalore          Sunrisers Hyderabad   \n",
       "150443  Royal Challengers Bangalore          Sunrisers Hyderabad   \n",
       "150444  Royal Challengers Bangalore          Sunrisers Hyderabad   \n",
       "150445  Royal Challengers Bangalore          Sunrisers Hyderabad   \n",
       "150446  Royal Challengers Bangalore          Sunrisers Hyderabad   \n",
       "150447  Royal Challengers Bangalore          Sunrisers Hyderabad   \n",
       "150448  Royal Challengers Bangalore          Sunrisers Hyderabad   \n",
       "150449  Royal Challengers Bangalore          Sunrisers Hyderabad   \n",
       "150450  Royal Challengers Bangalore          Sunrisers Hyderabad   \n",
       "150451  Royal Challengers Bangalore          Sunrisers Hyderabad   \n",
       "150452  Royal Challengers Bangalore          Sunrisers Hyderabad   \n",
       "150453  Royal Challengers Bangalore          Sunrisers Hyderabad   \n",
       "150454  Royal Challengers Bangalore          Sunrisers Hyderabad   \n",
       "150455  Royal Challengers Bangalore          Sunrisers Hyderabad   \n",
       "150456  Royal Challengers Bangalore          Sunrisers Hyderabad   \n",
       "150457  Royal Challengers Bangalore          Sunrisers Hyderabad   \n",
       "150458  Royal Challengers Bangalore          Sunrisers Hyderabad   \n",
       "150459  Royal Challengers Bangalore          Sunrisers Hyderabad   \n",
       "\n",
       "       toss_decision  result dl_applied  ... bye_runs  legbye_runs  \\\n",
       "0              field  normal          0  ...        0            0   \n",
       "1              field  normal          0  ...        0            0   \n",
       "2              field  normal          0  ...        0            0   \n",
       "3              field  normal          0  ...        0            0   \n",
       "4              field  normal          0  ...        0            0   \n",
       "5              field  normal          0  ...        0            0   \n",
       "6              field  normal          0  ...        0            1   \n",
       "7              field  normal          0  ...        0            0   \n",
       "8              field  normal          0  ...        0            0   \n",
       "9              field  normal          0  ...        0            0   \n",
       "10             field  normal          0  ...        0            0   \n",
       "11             field  normal          0  ...        0            0   \n",
       "12             field  normal          0  ...        0            0   \n",
       "13             field  normal          0  ...        0            0   \n",
       "14             field  normal          0  ...        0            0   \n",
       "15             field  normal          0  ...        0            0   \n",
       "16             field  normal          0  ...        0            0   \n",
       "17             field  normal          0  ...        0            0   \n",
       "18             field  normal          0  ...        0            0   \n",
       "19             field  normal          0  ...        0            0   \n",
       "20             field  normal          0  ...        0            0   \n",
       "21             field  normal          0  ...        0            0   \n",
       "22             field  normal          0  ...        0            0   \n",
       "23             field  normal          0  ...        0            0   \n",
       "24             field  normal          0  ...        0            0   \n",
       "25             field  normal          0  ...        0            0   \n",
       "26             field  normal          0  ...        0            0   \n",
       "27             field  normal          0  ...        0            0   \n",
       "28             field  normal          0  ...        0            0   \n",
       "29             field  normal          0  ...        0            0   \n",
       "...              ...     ...        ...  ...      ...          ...   \n",
       "150430           bat  normal          0  ...        0            0   \n",
       "150431           bat  normal          0  ...        0            0   \n",
       "150432           bat  normal          0  ...        0            0   \n",
       "150433           bat  normal          0  ...        0            0   \n",
       "150434           bat  normal          0  ...        0            0   \n",
       "150435           bat  normal          0  ...        0            0   \n",
       "150436           bat  normal          0  ...        0            0   \n",
       "150437           bat  normal          0  ...        0            0   \n",
       "150438           bat  normal          0  ...        0            0   \n",
       "150439           bat  normal          0  ...        0            0   \n",
       "150440           bat  normal          0  ...        0            0   \n",
       "150441           bat  normal          0  ...        0            0   \n",
       "150442           bat  normal          0  ...        0            0   \n",
       "150443           bat  normal          0  ...        0            0   \n",
       "150444           bat  normal          0  ...        0            0   \n",
       "150445           bat  normal          0  ...        0            0   \n",
       "150446           bat  normal          0  ...        0            1   \n",
       "150447           bat  normal          0  ...        0            0   \n",
       "150448           bat  normal          0  ...        0            0   \n",
       "150449           bat  normal          0  ...        0            0   \n",
       "150450           bat  normal          0  ...        0            0   \n",
       "150451           bat  normal          0  ...        0            1   \n",
       "150452           bat  normal          0  ...        0            0   \n",
       "150453           bat  normal          0  ...        0            0   \n",
       "150454           bat  normal          0  ...        0            0   \n",
       "150455           bat  normal          0  ...        0            0   \n",
       "150456           bat  normal          0  ...        0            0   \n",
       "150457           bat  normal          0  ...        0            1   \n",
       "150458           bat  normal          0  ...        0            0   \n",
       "150459           bat  normal          0  ...        0            0   \n",
       "\n",
       "        noball_runs penalty_runs batsman_runs extra_runs total_runs  \\\n",
       "0                 0            0            0          0          0   \n",
       "1                 0            0            0          0          0   \n",
       "2                 0            0            4          0          4   \n",
       "3                 0            0            0          0          0   \n",
       "4                 0            0            0          2          2   \n",
       "5                 0            0            0          0          0   \n",
       "6                 0            0            0          1          1   \n",
       "7                 0            0            1          0          1   \n",
       "8                 0            0            4          0          4   \n",
       "9                 1            0            0          1          1   \n",
       "10                0            0            6          0          6   \n",
       "11                0            0            0          0          0   \n",
       "12                0            0            0          0          0   \n",
       "13                0            0            4          0          4   \n",
       "14                0            0            1          0          1   \n",
       "15                0            0            0          0          0   \n",
       "16                0            0            0          0          0   \n",
       "17                0            0            3          0          3   \n",
       "18                0            0            1          0          1   \n",
       "19                0            0            1          0          1   \n",
       "20                0            0            0          0          0   \n",
       "21                0            0            1          0          1   \n",
       "22                0            0            0          0          0   \n",
       "23                0            0            1          0          1   \n",
       "24                0            0            1          0          1   \n",
       "25                0            0            1          0          1   \n",
       "26                0            0            1          0          1   \n",
       "27                0            0            1          0          1   \n",
       "28                0            0            1          0          1   \n",
       "29                0            0            2          0          2   \n",
       "...             ...          ...          ...        ...        ...   \n",
       "150430            0            0            1          0          1   \n",
       "150431            0            0            1          0          1   \n",
       "150432            0            0            0          0          0   \n",
       "150433            0            0            0          0          0   \n",
       "150434            0            0            1          0          1   \n",
       "150435            0            0            1          0          1   \n",
       "150436            0            0            0          0          0   \n",
       "150437            0            0            2          0          2   \n",
       "150438            0            0            0          0          0   \n",
       "150439            0            0            1          0          1   \n",
       "150440            0            0            6          0          6   \n",
       "150441            0            0            1          0          1   \n",
       "150442            0            0            0          0          0   \n",
       "150443            0            0            1          0          1   \n",
       "150444            0            0            1          0          1   \n",
       "150445            0            0            0          0          0   \n",
       "150446            0            0            0          1          1   \n",
       "150447            0            0            4          0          4   \n",
       "150448            0            0            1          0          1   \n",
       "150449            0            0            2          0          2   \n",
       "150450            0            0            0          0          0   \n",
       "150451            0            0            0          1          1   \n",
       "150452            0            0            2          0          2   \n",
       "150453            0            0            6          0          6   \n",
       "150454            0            0            1          0          1   \n",
       "150455            0            0            2          0          2   \n",
       "150456            0            0            0          0          0   \n",
       "150457            0            0            0          1          1   \n",
       "150458            0            0            1          0          1   \n",
       "150459            0            0            4          0          4   \n",
       "\n",
       "        player_dismissed  dismissal_kind        fielder  \n",
       "0                    NaN             NaN            NaN  \n",
       "1                    NaN             NaN            NaN  \n",
       "2                    NaN             NaN            NaN  \n",
       "3                    NaN             NaN            NaN  \n",
       "4                    NaN             NaN            NaN  \n",
       "5                    NaN             NaN            NaN  \n",
       "6                    NaN             NaN            NaN  \n",
       "7                    NaN             NaN            NaN  \n",
       "8                    NaN             NaN            NaN  \n",
       "9                    NaN             NaN            NaN  \n",
       "10                   NaN             NaN            NaN  \n",
       "11             DA Warner          caught  Mandeep Singh  \n",
       "12                   NaN             NaN            NaN  \n",
       "13                   NaN             NaN            NaN  \n",
       "14                   NaN             NaN            NaN  \n",
       "15                   NaN             NaN            NaN  \n",
       "16                   NaN             NaN            NaN  \n",
       "17                   NaN             NaN            NaN  \n",
       "18                   NaN             NaN            NaN  \n",
       "19                   NaN             NaN            NaN  \n",
       "20                   NaN             NaN            NaN  \n",
       "21                   NaN             NaN            NaN  \n",
       "22                   NaN             NaN            NaN  \n",
       "23                   NaN             NaN            NaN  \n",
       "24                   NaN             NaN            NaN  \n",
       "25                   NaN             NaN            NaN  \n",
       "26                   NaN             NaN            NaN  \n",
       "27                   NaN             NaN            NaN  \n",
       "28                   NaN             NaN            NaN  \n",
       "29                   NaN             NaN            NaN  \n",
       "...                  ...             ...            ...  \n",
       "150430               NaN             NaN            NaN  \n",
       "150431               NaN             NaN            NaN  \n",
       "150432          KL Rahul          bowled            NaN  \n",
       "150433               NaN             NaN            NaN  \n",
       "150434               NaN             NaN            NaN  \n",
       "150435               NaN             NaN            NaN  \n",
       "150436               NaN             NaN            NaN  \n",
       "150437               NaN             NaN            NaN  \n",
       "150438         SR Watson          caught   MC Henriques  \n",
       "150439               NaN             NaN            NaN  \n",
       "150440               NaN             NaN            NaN  \n",
       "150441               NaN             NaN            NaN  \n",
       "150442               NaN             NaN            NaN  \n",
       "150443               NaN             NaN            NaN  \n",
       "150444               NaN             NaN            NaN  \n",
       "150445               NaN             NaN            NaN  \n",
       "150446               NaN             NaN            NaN  \n",
       "150447               NaN             NaN            NaN  \n",
       "150448         STR Binny         run out       DJ Hooda  \n",
       "150449               NaN             NaN            NaN  \n",
       "150450               NaN             NaN            NaN  \n",
       "150451               NaN             NaN            NaN  \n",
       "150452               NaN             NaN            NaN  \n",
       "150453               NaN             NaN            NaN  \n",
       "150454               NaN             NaN            NaN  \n",
       "150455               NaN             NaN            NaN  \n",
       "150456         CJ Jordan         run out        NV Ojha  \n",
       "150457               NaN             NaN            NaN  \n",
       "150458               NaN             NaN            NaN  \n",
       "150459               NaN             NaN            NaN  \n",
       "\n",
       "[150460 rows x 39 columns]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mega"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "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>season</th>\n",
       "      <th>batsman</th>\n",
       "      <th>batsman_runs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1513</th>\n",
       "      <td>2015</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1517</th>\n",
       "      <td>2009</td>\n",
       "      <td>ML Hayden</td>\n",
       "      <td>572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1519</th>\n",
       "      <td>2011</td>\n",
       "      <td>CH Gayle</td>\n",
       "      <td>608</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1520</th>\n",
       "      <td>2008</td>\n",
       "      <td>SE Marsh</td>\n",
       "      <td>616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1521</th>\n",
       "      <td>2010</td>\n",
       "      <td>SR Tendulkar</td>\n",
       "      <td>618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1523</th>\n",
       "      <td>2017</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1524</th>\n",
       "      <td>2014</td>\n",
       "      <td>RV Uthappa</td>\n",
       "      <td>660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1527</th>\n",
       "      <td>2013</td>\n",
       "      <td>MEK Hussey</td>\n",
       "      <td>733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1528</th>\n",
       "      <td>2012</td>\n",
       "      <td>CH Gayle</td>\n",
       "      <td>733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1530</th>\n",
       "      <td>2016</td>\n",
       "      <td>V Kohli</td>\n",
       "      <td>973</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      season       batsman  batsman_runs\n",
       "1513    2015     DA Warner           562\n",
       "1517    2009     ML Hayden           572\n",
       "1519    2011      CH Gayle           608\n",
       "1520    2008      SE Marsh           616\n",
       "1521    2010  SR Tendulkar           618\n",
       "1523    2017     DA Warner           641\n",
       "1524    2014    RV Uthappa           660\n",
       "1527    2013    MEK Hussey           733\n",
       "1528    2012      CH Gayle           733\n",
       "1530    2016       V Kohli           973"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mega.groupby(['season','batsman']).sum()['batsman_runs'].sort_values().reset_index().drop_duplicates(subset=['season'],keep='last')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "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>Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>City</th>\n",
       "      <th>Frequency</th>\n",
       "      <th>Item</th>\n",
       "      <th>Spends</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Nitish</td>\n",
       "      <td>M</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Weekly</td>\n",
       "      <td>Burger</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Anu</td>\n",
       "      <td>F</td>\n",
       "      <td>Gurgaon</td>\n",
       "      <td>Daily</td>\n",
       "      <td>Sandwich</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mukku</td>\n",
       "      <td>M</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Once</td>\n",
       "      <td>Vada</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Suri</td>\n",
       "      <td>M</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Monthly</td>\n",
       "      <td>Pizza</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Rajiv</td>\n",
       "      <td>M</td>\n",
       "      <td>Patna</td>\n",
       "      <td>Never</td>\n",
       "      <td>Paneer</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Vandanda</td>\n",
       "      <td>F</td>\n",
       "      <td>Patna</td>\n",
       "      <td>Once</td>\n",
       "      <td>Chicken</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Piyush</td>\n",
       "      <td>M</td>\n",
       "      <td>Ranchi</td>\n",
       "      <td>Never</td>\n",
       "      <td>Chicken</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Radhika</td>\n",
       "      <td>F</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>Monthly</td>\n",
       "      <td>Pizza</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Sunil</td>\n",
       "      <td>M</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>Monthly</td>\n",
       "      <td>Vada</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Madhuri</td>\n",
       "      <td>F</td>\n",
       "      <td>Pune</td>\n",
       "      <td>Daily</td>\n",
       "      <td>Paneer</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Sonal</td>\n",
       "      <td>F</td>\n",
       "      <td>Pune</td>\n",
       "      <td>Monthly</td>\n",
       "      <td>Pizza</td>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Abhay</td>\n",
       "      <td>M</td>\n",
       "      <td>Patna</td>\n",
       "      <td>Daily</td>\n",
       "      <td>Burger</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Vineet</td>\n",
       "      <td>M</td>\n",
       "      <td>Ranchi</td>\n",
       "      <td>Once</td>\n",
       "      <td>Sandwich</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Sumit</td>\n",
       "      <td>M</td>\n",
       "      <td>Gurgaon</td>\n",
       "      <td>Never</td>\n",
       "      <td>Sandwich</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Ranbir</td>\n",
       "      <td>M</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>Weekly</td>\n",
       "      <td>Vada</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Akash</td>\n",
       "      <td>M</td>\n",
       "      <td>Chennai</td>\n",
       "      <td>Monthly</td>\n",
       "      <td>Paneer</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Pooja</td>\n",
       "      <td>F</td>\n",
       "      <td>Chennai</td>\n",
       "      <td>Daily</td>\n",
       "      <td>Pizza</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Neha</td>\n",
       "      <td>F</td>\n",
       "      <td>Pune</td>\n",
       "      <td>Never</td>\n",
       "      <td>Pizza</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Aditya</td>\n",
       "      <td>M</td>\n",
       "      <td>Gurgaon</td>\n",
       "      <td>Once</td>\n",
       "      <td>Sandwich</td>\n",
       "      <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Gaurav</td>\n",
       "      <td>M</td>\n",
       "      <td>Patna</td>\n",
       "      <td>Monthly</td>\n",
       "      <td>Vada</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Jagriti</td>\n",
       "      <td>F</td>\n",
       "      <td>Patna</td>\n",
       "      <td>Weekly</td>\n",
       "      <td>Burger</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Dipti</td>\n",
       "      <td>F</td>\n",
       "      <td>Patna</td>\n",
       "      <td>Weekly</td>\n",
       "      <td>Burger</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Vinay</td>\n",
       "      <td>M</td>\n",
       "      <td>Patna</td>\n",
       "      <td>Monthly</td>\n",
       "      <td>Burger</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Ankit</td>\n",
       "      <td>M</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>Daily</td>\n",
       "      <td>Paneer</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Anjani</td>\n",
       "      <td>F</td>\n",
       "      <td>Pune</td>\n",
       "      <td>Never</td>\n",
       "      <td>Pizza</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Sphira</td>\n",
       "      <td>F</td>\n",
       "      <td>Pune</td>\n",
       "      <td>Once</td>\n",
       "      <td>Vada</td>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Sam</td>\n",
       "      <td>M</td>\n",
       "      <td>Ranchi</td>\n",
       "      <td>Never</td>\n",
       "      <td>Vada</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Vinish</td>\n",
       "      <td>M</td>\n",
       "      <td>Ranchi</td>\n",
       "      <td>Once</td>\n",
       "      <td>Sandwich</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Ritika</td>\n",
       "      <td>F</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Monthly</td>\n",
       "      <td>Burger</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Chandu</td>\n",
       "      <td>M</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Daily</td>\n",
       "      <td>Sandwich</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Bijurika</td>\n",
       "      <td>F</td>\n",
       "      <td>Ranchi</td>\n",
       "      <td>Weekly</td>\n",
       "      <td>Pizza</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Deepanita</td>\n",
       "      <td>F</td>\n",
       "      <td>Pune</td>\n",
       "      <td>Never</td>\n",
       "      <td>Paneer</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Sourav</td>\n",
       "      <td>M</td>\n",
       "      <td>Gurgaon</td>\n",
       "      <td>Once</td>\n",
       "      <td>Sandwich</td>\n",
       "      <td>97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Suti</td>\n",
       "      <td>M</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Monthly</td>\n",
       "      <td>Vada</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Manu</td>\n",
       "      <td>M</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Daily</td>\n",
       "      <td>Vada</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Nishu</td>\n",
       "      <td>F</td>\n",
       "      <td>Patna</td>\n",
       "      <td>Weekly</td>\n",
       "      <td>Sandwich</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Komal</td>\n",
       "      <td>F</td>\n",
       "      <td>Pune</td>\n",
       "      <td>Daily</td>\n",
       "      <td>Paneer</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Sachin</td>\n",
       "      <td>M</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>Daily</td>\n",
       "      <td>Pizza</td>\n",
       "      <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Rahul</td>\n",
       "      <td>M</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>Weekly</td>\n",
       "      <td>Burger</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Amit</td>\n",
       "      <td>M</td>\n",
       "      <td>Chennai</td>\n",
       "      <td>Monthly</td>\n",
       "      <td>Sandwich</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Rohit</td>\n",
       "      <td>M</td>\n",
       "      <td>Chennai</td>\n",
       "      <td>Once</td>\n",
       "      <td>Pizza</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Vidit</td>\n",
       "      <td>M</td>\n",
       "      <td>Pune</td>\n",
       "      <td>Once</td>\n",
       "      <td>Paneer</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Sunaina</td>\n",
       "      <td>F</td>\n",
       "      <td>Chennai</td>\n",
       "      <td>Once</td>\n",
       "      <td>Vada</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Akriti</td>\n",
       "      <td>F</td>\n",
       "      <td>Gurgaon</td>\n",
       "      <td>Monthly</td>\n",
       "      <td>Vada</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Sangeeta</td>\n",
       "      <td>F</td>\n",
       "      <td>Chennai</td>\n",
       "      <td>Weekly</td>\n",
       "      <td>Sandwich</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Meenal</td>\n",
       "      <td>F</td>\n",
       "      <td>Pune</td>\n",
       "      <td>Monthly</td>\n",
       "      <td>Pizza</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Akshay</td>\n",
       "      <td>M</td>\n",
       "      <td>Ranchi</td>\n",
       "      <td>Daily</td>\n",
       "      <td>Paneer</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Gurpreet</td>\n",
       "      <td>M</td>\n",
       "      <td>Kolkata</td>\n",
       "      <td>Never</td>\n",
       "      <td>Pizza</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Kishore</td>\n",
       "      <td>M</td>\n",
       "      <td>Gurgaon</td>\n",
       "      <td>Never</td>\n",
       "      <td>Vada</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Jaideep</td>\n",
       "      <td>M</td>\n",
       "      <td>Chennai</td>\n",
       "      <td>Once</td>\n",
       "      <td>Burger</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Name Gender     City Frequency      Item  Spends\n",
       "0      Nitish      M  Kolkata    Weekly    Burger      11\n",
       "1         Anu      F  Gurgaon     Daily  Sandwich      14\n",
       "2       Mukku      M  Kolkata      Once      Vada      25\n",
       "3        Suri      M  Kolkata   Monthly     Pizza      56\n",
       "4       Rajiv      M    Patna     Never    Paneer      34\n",
       "5    Vandanda      F    Patna      Once   Chicken      23\n",
       "6      Piyush      M   Ranchi     Never   Chicken      67\n",
       "7     Radhika      F   Mumbai   Monthly     Pizza      43\n",
       "8       Sunil      M   Mumbai   Monthly      Vada      34\n",
       "9     Madhuri      F     Pune     Daily    Paneer      66\n",
       "10      Sonal      F     Pune   Monthly     Pizza      89\n",
       "11      Abhay      M    Patna     Daily    Burger      65\n",
       "12     Vineet      M   Ranchi      Once  Sandwich      34\n",
       "13      Sumit      M  Gurgaon     Never  Sandwich      34\n",
       "14     Ranbir      M   Mumbai    Weekly      Vada      55\n",
       "15      Akash      M  Chennai   Monthly    Paneer      67\n",
       "16      Pooja      F  Chennai     Daily     Pizza      34\n",
       "17       Neha      F     Pune     Never     Pizza      88\n",
       "18     Aditya      M  Gurgaon      Once  Sandwich      99\n",
       "19     Gaurav      M    Patna   Monthly      Vada      65\n",
       "20    Jagriti      F    Patna    Weekly    Burger      45\n",
       "21      Dipti      F    Patna    Weekly    Burger      76\n",
       "22      Vinay      M    Patna   Monthly    Burger      48\n",
       "23      Ankit      M   Mumbai     Daily    Paneer      38\n",
       "24     Anjani      F     Pune     Never     Pizza      27\n",
       "25     Sphira      F     Pune      Once      Vada      84\n",
       "26        Sam      M   Ranchi     Never      Vada      85\n",
       "27     Vinish      M   Ranchi      Once  Sandwich      74\n",
       "28     Ritika      F  Kolkata   Monthly    Burger      63\n",
       "29     Chandu      M  Kolkata     Daily  Sandwich      54\n",
       "30   Bijurika      F   Ranchi    Weekly     Pizza      90\n",
       "31  Deepanita      F     Pune     Never    Paneer      42\n",
       "32     Sourav      M  Gurgaon      Once  Sandwich      97\n",
       "33       Suti      M  Kolkata   Monthly      Vada      86\n",
       "34       Manu      M  Kolkata     Daily      Vada      56\n",
       "35      Nishu      F    Patna    Weekly  Sandwich      66\n",
       "36      Komal      F     Pune     Daily    Paneer      77\n",
       "37     Sachin      M   Mumbai     Daily     Pizza      99\n",
       "38      Rahul      M   Mumbai    Weekly    Burger      21\n",
       "39       Amit      M  Chennai   Monthly  Sandwich      43\n",
       "40      Rohit      M  Chennai      Once     Pizza      54\n",
       "41      Vidit      M     Pune      Once    Paneer      78\n",
       "42    Sunaina      F  Chennai      Once      Vada      23\n",
       "43     Akriti      F  Gurgaon   Monthly      Vada      86\n",
       "44   Sangeeta      F  Chennai    Weekly  Sandwich      43\n",
       "45     Meenal      F     Pune   Monthly     Pizza      67\n",
       "46     Akshay      M   Ranchi     Daily    Paneer      32\n",
       "47   Gurpreet      M  Kolkata     Never     Pizza      56\n",
       "48    Kishore      M  Gurgaon     Never      Vada      22\n",
       "49    Jaideep      M  Chennai      Once    Burger      44"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "food"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "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 tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>Frequency</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Daily</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Monthly</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Never</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Once</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Weekly</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>Gender</th>\n",
       "      <th>F</th>\n",
       "      <th>M</th>\n",
       "      <th>F</th>\n",
       "      <th>M</th>\n",
       "      <th>F</th>\n",
       "      <th>M</th>\n",
       "      <th>F</th>\n",
       "      <th>M</th>\n",
       "      <th>F</th>\n",
       "      <th>M</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>City</th>\n",
       "      <th>Item</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 rowspan=\"5\" valign=\"top\">Chennai</th>\n",
       "      <th>Burger</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>44.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Paneer</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>67.0</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>Pizza</th>\n",
       "      <td>34.0</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>54.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sandwich</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vada</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>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Gurgaon</th>\n",
       "      <th>Sandwich</th>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>98.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vada</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>86.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">Kolkata</th>\n",
       "      <th>Burger</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>63.0</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>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pizza</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>56.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>56.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sandwich</th>\n",
       "      <td>NaN</td>\n",
       "      <td>54.0</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>Vada</th>\n",
       "      <td>NaN</td>\n",
       "      <td>56.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>86.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">Mumbai</th>\n",
       "      <th>Burger</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>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Paneer</th>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</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>Pizza</th>\n",
       "      <td>NaN</td>\n",
       "      <td>99.0</td>\n",
       "      <td>43.0</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>Vada</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>55.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Patna</th>\n",
       "      <th>Burger</th>\n",
       "      <td>NaN</td>\n",
       "      <td>65.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>48.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.5</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chicken</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>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Paneer</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sandwich</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>66.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vada</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>65.0</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 rowspan=\"3\" valign=\"top\">Pune</th>\n",
       "      <th>Paneer</th>\n",
       "      <td>71.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>78.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pizza</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>78.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>57.5</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>Vada</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>84.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Ranchi</th>\n",
       "      <th>Chicken</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>67.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Paneer</th>\n",
       "      <td>NaN</td>\n",
       "      <td>32.0</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>Pizza</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>90.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sandwich</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>54.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vada</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>85.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Frequency        Daily       Monthly       Never        Once       Weekly  \\\n",
       "Gender               F     M       F     M     F     M     F     M      F   \n",
       "City    Item                                                                \n",
       "Chennai Burger     NaN   NaN     NaN   NaN   NaN   NaN   NaN  44.0    NaN   \n",
       "        Paneer     NaN   NaN     NaN  67.0   NaN   NaN   NaN   NaN    NaN   \n",
       "        Pizza     34.0   NaN     NaN   NaN   NaN   NaN   NaN  54.0    NaN   \n",
       "        Sandwich   NaN   NaN     NaN  43.0   NaN   NaN   NaN   NaN   43.0   \n",
       "        Vada       NaN   NaN     NaN   NaN   NaN   NaN  23.0   NaN    NaN   \n",
       "Gurgaon Sandwich  14.0   NaN     NaN   NaN   NaN  34.0   NaN  98.0    NaN   \n",
       "        Vada       NaN   NaN    86.0   NaN   NaN  22.0   NaN   NaN    NaN   \n",
       "Kolkata Burger     NaN   NaN    63.0   NaN   NaN   NaN   NaN   NaN    NaN   \n",
       "        Pizza      NaN   NaN     NaN  56.0   NaN  56.0   NaN   NaN    NaN   \n",
       "        Sandwich   NaN  54.0     NaN   NaN   NaN   NaN   NaN   NaN    NaN   \n",
       "        Vada       NaN  56.0     NaN  86.0   NaN   NaN   NaN  25.0    NaN   \n",
       "Mumbai  Burger     NaN   NaN     NaN   NaN   NaN   NaN   NaN   NaN    NaN   \n",
       "        Paneer     NaN  38.0     NaN   NaN   NaN   NaN   NaN   NaN    NaN   \n",
       "        Pizza      NaN  99.0    43.0   NaN   NaN   NaN   NaN   NaN    NaN   \n",
       "        Vada       NaN   NaN     NaN  34.0   NaN   NaN   NaN   NaN    NaN   \n",
       "Patna   Burger     NaN  65.0     NaN  48.0   NaN   NaN   NaN   NaN   60.5   \n",
       "        Chicken    NaN   NaN     NaN   NaN   NaN   NaN  23.0   NaN    NaN   \n",
       "        Paneer     NaN   NaN     NaN   NaN   NaN  34.0   NaN   NaN    NaN   \n",
       "        Sandwich   NaN   NaN     NaN   NaN   NaN   NaN   NaN   NaN   66.0   \n",
       "        Vada       NaN   NaN     NaN  65.0   NaN   NaN   NaN   NaN    NaN   \n",
       "Pune    Paneer    71.5   NaN     NaN   NaN  42.0   NaN   NaN  78.0    NaN   \n",
       "        Pizza      NaN   NaN    78.0   NaN  57.5   NaN   NaN   NaN    NaN   \n",
       "        Vada       NaN   NaN     NaN   NaN   NaN   NaN  84.0   NaN    NaN   \n",
       "Ranchi  Chicken    NaN   NaN     NaN   NaN   NaN  67.0   NaN   NaN    NaN   \n",
       "        Paneer     NaN  32.0     NaN   NaN   NaN   NaN   NaN   NaN    NaN   \n",
       "        Pizza      NaN   NaN     NaN   NaN   NaN   NaN   NaN   NaN   90.0   \n",
       "        Sandwich   NaN   NaN     NaN   NaN   NaN   NaN   NaN  54.0    NaN   \n",
       "        Vada       NaN   NaN     NaN   NaN   NaN  85.0   NaN   NaN    NaN   \n",
       "\n",
       "Frequency               \n",
       "Gender               M  \n",
       "City    Item            \n",
       "Chennai Burger     NaN  \n",
       "        Paneer     NaN  \n",
       "        Pizza      NaN  \n",
       "        Sandwich   NaN  \n",
       "        Vada       NaN  \n",
       "Gurgaon Sandwich   NaN  \n",
       "        Vada       NaN  \n",
       "Kolkata Burger    11.0  \n",
       "        Pizza      NaN  \n",
       "        Sandwich   NaN  \n",
       "        Vada       NaN  \n",
       "Mumbai  Burger    21.0  \n",
       "        Paneer     NaN  \n",
       "        Pizza      NaN  \n",
       "        Vada      55.0  \n",
       "Patna   Burger     NaN  \n",
       "        Chicken    NaN  \n",
       "        Paneer     NaN  \n",
       "        Sandwich   NaN  \n",
       "        Vada       NaN  \n",
       "Pune    Paneer     NaN  \n",
       "        Pizza      NaN  \n",
       "        Vada       NaN  \n",
       "Ranchi  Chicken    NaN  \n",
       "        Paneer     NaN  \n",
       "        Pizza      NaN  \n",
       "        Sandwich   NaN  \n",
       "        Vada       NaN  "
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "food.pivot_table(index=['City','Item'],columns=['Frequency','Gender'],values='Spends',aggfunc='mean')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "only=delivery[delivery['batsman_runs']==6]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "p=only.pivot_table(index='over',columns='batting_team',values='batsman_runs',aggfunc='count')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x28f80ff5748>"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(p,cmap='summer')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Most dangerous batsman in death overs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "death=delivery[delivery['over']>15]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "x=death['batsman'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "batsman_list=x[x>200].index.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "43"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(batsman_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "final=death[death['batsman'].isin(batsman_list)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(16669, 21)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(33737, 21)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "death.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>match_id</th>\n",
       "      <th>inning</th>\n",
       "      <th>batting_team</th>\n",
       "      <th>bowling_team</th>\n",
       "      <th>over</th>\n",
       "      <th>ball</th>\n",
       "      <th>batsman</th>\n",
       "      <th>non_striker</th>\n",
       "      <th>bowler</th>\n",
       "      <th>is_super_over</th>\n",
       "      <th>...</th>\n",
       "      <th>bye_runs</th>\n",
       "      <th>legbye_runs</th>\n",
       "      <th>noball_runs</th>\n",
       "      <th>penalty_runs</th>\n",
       "      <th>batsman_runs</th>\n",
       "      <th>extra_runs</th>\n",
       "      <th>total_runs</th>\n",
       "      <th>player_dismissed</th>\n",
       "      <th>dismissal_kind</th>\n",
       "      <th>fielder</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>95</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>16</td>\n",
       "      <td>3</td>\n",
       "      <td>Yuvraj Singh</td>\n",
       "      <td>DJ Hooda</td>\n",
       "      <td>YS Chahal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>97</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>16</td>\n",
       "      <td>5</td>\n",
       "      <td>Yuvraj Singh</td>\n",
       "      <td>DJ Hooda</td>\n",
       "      <td>YS Chahal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>17</td>\n",
       "      <td>2</td>\n",
       "      <td>Yuvraj Singh</td>\n",
       "      <td>DJ Hooda</td>\n",
       "      <td>TS Mills</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>101</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "      <td>Yuvraj Singh</td>\n",
       "      <td>DJ Hooda</td>\n",
       "      <td>TS Mills</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>102</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>17</td>\n",
       "      <td>4</td>\n",
       "      <td>Yuvraj Singh</td>\n",
       "      <td>DJ Hooda</td>\n",
       "      <td>TS Mills</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>150442</td>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>STR Binny</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>150443</td>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>18</td>\n",
       "      <td>2</td>\n",
       "      <td>STR Binny</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>150445</td>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>18</td>\n",
       "      <td>4</td>\n",
       "      <td>STR Binny</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>150446</td>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>18</td>\n",
       "      <td>5</td>\n",
       "      <td>STR Binny</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>150448</td>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>19</td>\n",
       "      <td>1</td>\n",
       "      <td>STR Binny</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>Mustafizur Rahman</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>STR Binny</td>\n",
       "      <td>run out</td>\n",
       "      <td>DJ Hooda</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>16669 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        match_id  inning                 batting_team  \\\n",
       "95             1       1          Sunrisers Hyderabad   \n",
       "97             1       1          Sunrisers Hyderabad   \n",
       "100            1       1          Sunrisers Hyderabad   \n",
       "101            1       1          Sunrisers Hyderabad   \n",
       "102            1       1          Sunrisers Hyderabad   \n",
       "...          ...     ...                          ...   \n",
       "150442       636       2  Royal Challengers Bangalore   \n",
       "150443       636       2  Royal Challengers Bangalore   \n",
       "150445       636       2  Royal Challengers Bangalore   \n",
       "150446       636       2  Royal Challengers Bangalore   \n",
       "150448       636       2  Royal Challengers Bangalore   \n",
       "\n",
       "                       bowling_team  over  ball       batsman  non_striker  \\\n",
       "95      Royal Challengers Bangalore    16     3  Yuvraj Singh     DJ Hooda   \n",
       "97      Royal Challengers Bangalore    16     5  Yuvraj Singh     DJ Hooda   \n",
       "100     Royal Challengers Bangalore    17     2  Yuvraj Singh     DJ Hooda   \n",
       "101     Royal Challengers Bangalore    17     3  Yuvraj Singh     DJ Hooda   \n",
       "102     Royal Challengers Bangalore    17     4  Yuvraj Singh     DJ Hooda   \n",
       "...                             ...   ...   ...           ...          ...   \n",
       "150442          Sunrisers Hyderabad    18     1     STR Binny  Sachin Baby   \n",
       "150443          Sunrisers Hyderabad    18     2     STR Binny  Sachin Baby   \n",
       "150445          Sunrisers Hyderabad    18     4     STR Binny  Sachin Baby   \n",
       "150446          Sunrisers Hyderabad    18     5     STR Binny  Sachin Baby   \n",
       "150448          Sunrisers Hyderabad    19     1     STR Binny  Sachin Baby   \n",
       "\n",
       "                   bowler  is_super_over  ...  bye_runs  legbye_runs  \\\n",
       "95              YS Chahal              0  ...         0            0   \n",
       "97              YS Chahal              0  ...         0            0   \n",
       "100              TS Mills              0  ...         0            0   \n",
       "101              TS Mills              0  ...         0            0   \n",
       "102              TS Mills              0  ...         0            0   \n",
       "...                   ...            ...  ...       ...          ...   \n",
       "150442            B Kumar              0  ...         0            0   \n",
       "150443            B Kumar              0  ...         0            0   \n",
       "150445            B Kumar              0  ...         0            0   \n",
       "150446            B Kumar              0  ...         0            1   \n",
       "150448  Mustafizur Rahman              0  ...         0            0   \n",
       "\n",
       "        noball_runs  penalty_runs  batsman_runs  extra_runs  total_runs  \\\n",
       "95                0             0             1           0           1   \n",
       "97                0             0             1           0           1   \n",
       "100               0             0             0           0           0   \n",
       "101               0             0             4           0           4   \n",
       "102               0             0             1           0           1   \n",
       "...             ...           ...           ...         ...         ...   \n",
       "150442            0             0             0           0           0   \n",
       "150443            0             0             1           0           1   \n",
       "150445            0             0             0           0           0   \n",
       "150446            0             0             0           1           1   \n",
       "150448            0             0             1           0           1   \n",
       "\n",
       "        player_dismissed dismissal_kind   fielder  \n",
       "95                   NaN            NaN       NaN  \n",
       "97                   NaN            NaN       NaN  \n",
       "100                  NaN            NaN       NaN  \n",
       "101                  NaN            NaN       NaN  \n",
       "102                  NaN            NaN       NaN  \n",
       "...                  ...            ...       ...  \n",
       "150442               NaN            NaN       NaN  \n",
       "150443               NaN            NaN       NaN  \n",
       "150445               NaN            NaN       NaN  \n",
       "150446               NaN            NaN       NaN  \n",
       "150448         STR Binny        run out  DJ Hooda  \n",
       "\n",
       "[16669 rows x 21 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "run=final.groupby('batsman').sum()['batsman_runs']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "ball=final['batsman'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AB de Villiers      211.052632\n",
       "DA Warner           189.473684\n",
       "DA Miller           186.666667\n",
       "V Kohli             181.868132\n",
       "RG Sharma           175.668449\n",
       "DJ Hussey           175.213675\n",
       "RV Uthappa          173.454545\n",
       "Yuvraj Singh        171.124031\n",
       "JH Kallis           170.562771\n",
       "MS Dhoni            169.607843\n",
       "SPD Smith           169.303797\n",
       "JP Duminy           167.760618\n",
       "DJ Bravo            167.726161\n",
       "SK Raina            167.467249\n",
       "AT Rayudu           165.411765\n",
       "WP Saha             163.389831\n",
       "KA Pollard          161.336516\n",
       "YK Pathan           159.246575\n",
       "S Dhawan            158.847737\n",
       "BJ Hodge            157.402597\n",
       "AM Rahane           152.985075\n",
       "LRPL Taylor         152.941176\n",
       "KD Karthik          152.051836\n",
       "DPMD Jayawardene    152.032520\n",
       "MK Pandey           151.785714\n",
       "JA Morkel           149.882353\n",
       "JP Faulkner         149.319728\n",
       "S Badrinath         149.116608\n",
       "Y Venugopal Rao     148.846154\n",
       "Harbhajan Singh     147.607656\n",
       "AD Mathews          147.058824\n",
       "KM Jadhav           144.378698\n",
       "STR Binny           144.036697\n",
       "AR Patel            142.794760\n",
       "IK Pathan           142.580645\n",
       "MK Tiwary           140.189125\n",
       "SS Tiwary           136.666667\n",
       "NV Ojha             134.868421\n",
       "RA Jadeja           130.729167\n",
       "PP Chawla           120.257235\n",
       "P Kumar             109.701493\n",
       "R Vinay Kumar       108.936170\n",
       "A Mishra            100.888889\n",
       "dtype: float64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final['batsman'].value_counts()\n",
    "sr=(run/ball)*100\n",
    "sr.sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Q.Find most economical bowler in death overs(minimum balls>200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "death=delivery[delivery['over']>15]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_id</th>\n",
       "      <th>inning</th>\n",
       "      <th>batting_team</th>\n",
       "      <th>bowling_team</th>\n",
       "      <th>over</th>\n",
       "      <th>ball</th>\n",
       "      <th>batsman</th>\n",
       "      <th>non_striker</th>\n",
       "      <th>bowler</th>\n",
       "      <th>is_super_over</th>\n",
       "      <th>...</th>\n",
       "      <th>bye_runs</th>\n",
       "      <th>legbye_runs</th>\n",
       "      <th>noball_runs</th>\n",
       "      <th>penalty_runs</th>\n",
       "      <th>batsman_runs</th>\n",
       "      <th>extra_runs</th>\n",
       "      <th>total_runs</th>\n",
       "      <th>player_dismissed</th>\n",
       "      <th>dismissal_kind</th>\n",
       "      <th>fielder</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>93</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>MC Henriques</td>\n",
       "      <td>Yuvraj Singh</td>\n",
       "      <td>YS Chahal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>94</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>16</td>\n",
       "      <td>2</td>\n",
       "      <td>MC Henriques</td>\n",
       "      <td>Yuvraj Singh</td>\n",
       "      <td>YS Chahal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>MC Henriques</td>\n",
       "      <td>caught</td>\n",
       "      <td>Sachin Baby</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>95</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>16</td>\n",
       "      <td>3</td>\n",
       "      <td>Yuvraj Singh</td>\n",
       "      <td>DJ Hooda</td>\n",
       "      <td>YS Chahal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>96</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>16</td>\n",
       "      <td>4</td>\n",
       "      <td>DJ Hooda</td>\n",
       "      <td>Yuvraj Singh</td>\n",
       "      <td>YS Chahal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>97</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>16</td>\n",
       "      <td>5</td>\n",
       "      <td>Yuvraj Singh</td>\n",
       "      <td>DJ Hooda</td>\n",
       "      <td>YS Chahal</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>150455</td>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>20</td>\n",
       "      <td>2</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>CJ Jordan</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>150456</td>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>20</td>\n",
       "      <td>3</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>CJ Jordan</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>CJ Jordan</td>\n",
       "      <td>run out</td>\n",
       "      <td>NV Ojha</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>150457</td>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>20</td>\n",
       "      <td>4</td>\n",
       "      <td>Iqbal Abdulla</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>150458</td>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>20</td>\n",
       "      <td>5</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>Iqbal Abdulla</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>150459</td>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>20</td>\n",
       "      <td>6</td>\n",
       "      <td>Iqbal Abdulla</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>33737 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        match_id  inning                 batting_team  \\\n",
       "93             1       1          Sunrisers Hyderabad   \n",
       "94             1       1          Sunrisers Hyderabad   \n",
       "95             1       1          Sunrisers Hyderabad   \n",
       "96             1       1          Sunrisers Hyderabad   \n",
       "97             1       1          Sunrisers Hyderabad   \n",
       "...          ...     ...                          ...   \n",
       "150455       636       2  Royal Challengers Bangalore   \n",
       "150456       636       2  Royal Challengers Bangalore   \n",
       "150457       636       2  Royal Challengers Bangalore   \n",
       "150458       636       2  Royal Challengers Bangalore   \n",
       "150459       636       2  Royal Challengers Bangalore   \n",
       "\n",
       "                       bowling_team  over  ball        batsman    non_striker  \\\n",
       "93      Royal Challengers Bangalore    16     1   MC Henriques   Yuvraj Singh   \n",
       "94      Royal Challengers Bangalore    16     2   MC Henriques   Yuvraj Singh   \n",
       "95      Royal Challengers Bangalore    16     3   Yuvraj Singh       DJ Hooda   \n",
       "96      Royal Challengers Bangalore    16     4       DJ Hooda   Yuvraj Singh   \n",
       "97      Royal Challengers Bangalore    16     5   Yuvraj Singh       DJ Hooda   \n",
       "...                             ...   ...   ...            ...            ...   \n",
       "150455          Sunrisers Hyderabad    20     2    Sachin Baby      CJ Jordan   \n",
       "150456          Sunrisers Hyderabad    20     3    Sachin Baby      CJ Jordan   \n",
       "150457          Sunrisers Hyderabad    20     4  Iqbal Abdulla    Sachin Baby   \n",
       "150458          Sunrisers Hyderabad    20     5    Sachin Baby  Iqbal Abdulla   \n",
       "150459          Sunrisers Hyderabad    20     6  Iqbal Abdulla    Sachin Baby   \n",
       "\n",
       "           bowler  is_super_over  ...  bye_runs  legbye_runs  noball_runs  \\\n",
       "93      YS Chahal              0  ...         0            0            0   \n",
       "94      YS Chahal              0  ...         0            0            0   \n",
       "95      YS Chahal              0  ...         0            0            0   \n",
       "96      YS Chahal              0  ...         0            0            0   \n",
       "97      YS Chahal              0  ...         0            0            0   \n",
       "...           ...            ...  ...       ...          ...          ...   \n",
       "150455    B Kumar              0  ...         0            0            0   \n",
       "150456    B Kumar              0  ...         0            0            0   \n",
       "150457    B Kumar              0  ...         0            1            0   \n",
       "150458    B Kumar              0  ...         0            0            0   \n",
       "150459    B Kumar              0  ...         0            0            0   \n",
       "\n",
       "        penalty_runs  batsman_runs  extra_runs  total_runs  player_dismissed  \\\n",
       "93                 0             0           0           0               NaN   \n",
       "94                 0             0           0           0      MC Henriques   \n",
       "95                 0             1           0           1               NaN   \n",
       "96                 0             1           0           1               NaN   \n",
       "97                 0             1           0           1               NaN   \n",
       "...              ...           ...         ...         ...               ...   \n",
       "150455             0             2           0           2               NaN   \n",
       "150456             0             0           0           0         CJ Jordan   \n",
       "150457             0             0           1           1               NaN   \n",
       "150458             0             1           0           1               NaN   \n",
       "150459             0             4           0           4               NaN   \n",
       "\n",
       "       dismissal_kind      fielder  \n",
       "93                NaN          NaN  \n",
       "94             caught  Sachin Baby  \n",
       "95                NaN          NaN  \n",
       "96                NaN          NaN  \n",
       "97                NaN          NaN  \n",
       "...               ...          ...  \n",
       "150455            NaN          NaN  \n",
       "150456        run out      NV Ojha  \n",
       "150457            NaN          NaN  \n",
       "150458            NaN          NaN  \n",
       "150459            NaN          NaN  \n",
       "\n",
       "[33737 rows x 21 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "death"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "x=death['bowler'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "bowler_list=x[x>200].index.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "final=death[death['bowler'].isin(bowler_list)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "52"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(bowler_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "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",
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       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_id</th>\n",
       "      <th>inning</th>\n",
       "      <th>batting_team</th>\n",
       "      <th>bowling_team</th>\n",
       "      <th>over</th>\n",
       "      <th>ball</th>\n",
       "      <th>batsman</th>\n",
       "      <th>non_striker</th>\n",
       "      <th>bowler</th>\n",
       "      <th>is_super_over</th>\n",
       "      <th>...</th>\n",
       "      <th>bye_runs</th>\n",
       "      <th>legbye_runs</th>\n",
       "      <th>noball_runs</th>\n",
       "      <th>penalty_runs</th>\n",
       "      <th>batsman_runs</th>\n",
       "      <th>extra_runs</th>\n",
       "      <th>total_runs</th>\n",
       "      <th>player_dismissed</th>\n",
       "      <th>dismissal_kind</th>\n",
       "      <th>fielder</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>119</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>BCJ Cutting</td>\n",
       "      <td>DJ Hooda</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
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       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>120</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>20</td>\n",
       "      <td>2</td>\n",
       "      <td>DJ Hooda</td>\n",
       "      <td>BCJ Cutting</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>121</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>20</td>\n",
       "      <td>3</td>\n",
       "      <td>BCJ Cutting</td>\n",
       "      <td>DJ Hooda</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>122</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>20</td>\n",
       "      <td>4</td>\n",
       "      <td>BCJ Cutting</td>\n",
       "      <td>DJ Hooda</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>123</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>20</td>\n",
       "      <td>5</td>\n",
       "      <td>BCJ Cutting</td>\n",
       "      <td>DJ Hooda</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>150455</td>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>20</td>\n",
       "      <td>2</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>CJ Jordan</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>150456</td>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>20</td>\n",
       "      <td>3</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>CJ Jordan</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>CJ Jordan</td>\n",
       "      <td>run out</td>\n",
       "      <td>NV Ojha</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>150457</td>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>20</td>\n",
       "      <td>4</td>\n",
       "      <td>Iqbal Abdulla</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>150458</td>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>20</td>\n",
       "      <td>5</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>Iqbal Abdulla</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>150459</td>\n",
       "      <td>636</td>\n",
       "      <td>2</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>20</td>\n",
       "      <td>6</td>\n",
       "      <td>Iqbal Abdulla</td>\n",
       "      <td>Sachin Baby</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>21075 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        match_id  inning                 batting_team  \\\n",
       "119            1       1          Sunrisers Hyderabad   \n",
       "120            1       1          Sunrisers Hyderabad   \n",
       "121            1       1          Sunrisers Hyderabad   \n",
       "122            1       1          Sunrisers Hyderabad   \n",
       "123            1       1          Sunrisers Hyderabad   \n",
       "...          ...     ...                          ...   \n",
       "150455       636       2  Royal Challengers Bangalore   \n",
       "150456       636       2  Royal Challengers Bangalore   \n",
       "150457       636       2  Royal Challengers Bangalore   \n",
       "150458       636       2  Royal Challengers Bangalore   \n",
       "150459       636       2  Royal Challengers Bangalore   \n",
       "\n",
       "                       bowling_team  over  ball        batsman    non_striker  \\\n",
       "119     Royal Challengers Bangalore    20     1    BCJ Cutting       DJ Hooda   \n",
       "120     Royal Challengers Bangalore    20     2       DJ Hooda    BCJ Cutting   \n",
       "121     Royal Challengers Bangalore    20     3    BCJ Cutting       DJ Hooda   \n",
       "122     Royal Challengers Bangalore    20     4    BCJ Cutting       DJ Hooda   \n",
       "123     Royal Challengers Bangalore    20     5    BCJ Cutting       DJ Hooda   \n",
       "...                             ...   ...   ...            ...            ...   \n",
       "150455          Sunrisers Hyderabad    20     2    Sachin Baby      CJ Jordan   \n",
       "150456          Sunrisers Hyderabad    20     3    Sachin Baby      CJ Jordan   \n",
       "150457          Sunrisers Hyderabad    20     4  Iqbal Abdulla    Sachin Baby   \n",
       "150458          Sunrisers Hyderabad    20     5    Sachin Baby  Iqbal Abdulla   \n",
       "150459          Sunrisers Hyderabad    20     6  Iqbal Abdulla    Sachin Baby   \n",
       "\n",
       "           bowler  is_super_over  ...  bye_runs  legbye_runs  noball_runs  \\\n",
       "119     SR Watson              0  ...         0            0            0   \n",
       "120     SR Watson              0  ...         0            0            0   \n",
       "121     SR Watson              0  ...         0            0            0   \n",
       "122     SR Watson              0  ...         0            0            0   \n",
       "123     SR Watson              0  ...         0            0            0   \n",
       "...           ...            ...  ...       ...          ...          ...   \n",
       "150455    B Kumar              0  ...         0            0            0   \n",
       "150456    B Kumar              0  ...         0            0            0   \n",
       "150457    B Kumar              0  ...         0            1            0   \n",
       "150458    B Kumar              0  ...         0            0            0   \n",
       "150459    B Kumar              0  ...         0            0            0   \n",
       "\n",
       "        penalty_runs  batsman_runs  extra_runs  total_runs  player_dismissed  \\\n",
       "119                0             1           0           1               NaN   \n",
       "120                0             1           0           1               NaN   \n",
       "121                0             6           0           6               NaN   \n",
       "122                0             2           0           2               NaN   \n",
       "123                0             0           0           0               NaN   \n",
       "...              ...           ...         ...         ...               ...   \n",
       "150455             0             2           0           2               NaN   \n",
       "150456             0             0           0           0         CJ Jordan   \n",
       "150457             0             0           1           1               NaN   \n",
       "150458             0             1           0           1               NaN   \n",
       "150459             0             4           0           4               NaN   \n",
       "\n",
       "       dismissal_kind  fielder  \n",
       "119               NaN      NaN  \n",
       "120               NaN      NaN  \n",
       "121               NaN      NaN  \n",
       "122               NaN      NaN  \n",
       "123               NaN      NaN  \n",
       "...               ...      ...  \n",
       "150455            NaN      NaN  \n",
       "150456        run out  NV Ojha  \n",
       "150457            NaN      NaN  \n",
       "150458            NaN      NaN  \n",
       "150459            NaN      NaN  \n",
       "\n",
       "[21075 rows x 21 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'groupby' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-50-d1a0655cec09>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mrun\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mgroupby\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'bowler'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msum\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'total_runs'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'groupby' is not defined"
     ]
    }
   ],
   "source": [
    "run=groupby('bowler').sum()['total_runs']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    14901\n",
       "0     9061\n",
       "4     3875\n",
       "2     3285\n",
       "6     2397\n",
       "3      131\n",
       "5       63\n",
       "7       24\n",
       "Name: total_runs, dtype: int64"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "run"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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