cricket_batting_analysis_with_graph.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import networkx as nx\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv(\"ipl_batting_partnerships.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>team</th>\n",
       "      <th>player_1</th>\n",
       "      <th>player_2</th>\n",
       "      <th>score_1</th>\n",
       "      <th>score_2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>AT Rayudu</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>AT Rayudu</td>\n",
       "      <td>SK Raina</td>\n",
       "      <td>12</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>AT Rayudu</td>\n",
       "      <td>KM Jadhav</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>RA Jadeja</td>\n",
       "      <td>KM Jadhav</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>19</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>JM Bairstow</td>\n",
       "      <td>74</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index                 team   player_1     player_2  score_1  score_2\n",
       "0      0  Chennai Super Kings  AT Rayudu    SR Watson        7        0\n",
       "1      1  Chennai Super Kings  AT Rayudu     SK Raina       12       19\n",
       "2      2  Chennai Super Kings  AT Rayudu    KM Jadhav        9        9\n",
       "3      3  Chennai Super Kings  RA Jadeja    KM Jadhav        6        4\n",
       "4     19  Sunrisers Hyderabad  DA Warner  JM Bairstow       74       39"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Chennai Super Kings', 'Sunrisers Hyderabad', 'Mumbai Indians',\n",
       "       'Delhi Capitals'], dtype=object)"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## No of teams \n",
    "data['team'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Select a single team for better graphing and analysis.The following analysis can then be repeated to other teams.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>team</th>\n",
       "      <th>player_1</th>\n",
       "      <th>player_2</th>\n",
       "      <th>score_1</th>\n",
       "      <th>score_2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>32</td>\n",
       "      <td>Delhi Capitals</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>PP Shaw</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>33</td>\n",
       "      <td>Delhi Capitals</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>SS Iyer</td>\n",
       "      <td>2</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>34</td>\n",
       "      <td>Delhi Capitals</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>CA Ingram</td>\n",
       "      <td>36</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>35</td>\n",
       "      <td>Delhi Capitals</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>RR Pant</td>\n",
       "      <td>3</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>36</td>\n",
       "      <td>Delhi Capitals</td>\n",
       "      <td>KMA Paul</td>\n",
       "      <td>RR Pant</td>\n",
       "      <td>3</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    index            team  player_1   player_2  score_1  score_2\n",
       "17     32  Delhi Capitals  S Dhawan    PP Shaw        2        7\n",
       "18     33  Delhi Capitals  S Dhawan    SS Iyer        2       16\n",
       "19     34  Delhi Capitals  S Dhawan  CA Ingram       36       47\n",
       "20     35  Delhi Capitals  S Dhawan    RR Pant        3       16\n",
       "21     36  Delhi Capitals  KMA Paul    RR Pant        3       21"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_dc = data.copy()\n",
    "data_dc = data_dc[data_dc['team'] == 'Delhi Capitals']\n",
    "data_dc.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Score_1 and Score_2 stands for batting runs for each player in the partnership.  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For each pair of partnership , find the median runs for each player."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>player_1</th>\n",
       "      <th>player_2</th>\n",
       "      <th>score_1</th>\n",
       "      <th>score_2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A Mishra</td>\n",
       "      <td>I Sharma</td>\n",
       "      <td>1.5</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>A Mishra</td>\n",
       "      <td>J Suchith</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>A Mishra</td>\n",
       "      <td>K Rabada</td>\n",
       "      <td>3.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>A Mishra</td>\n",
       "      <td>KMA Paul</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>A Mishra</td>\n",
       "      <td>RR Pant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>A Mishra</td>\n",
       "      <td>TA Boult</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>AR Patel</td>\n",
       "      <td>KMA Paul</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>AR Patel</td>\n",
       "      <td>RR Pant</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>AR Patel</td>\n",
       "      <td>SE Rutherford</td>\n",
       "      <td>16.0</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>AR Patel</td>\n",
       "      <td>SS Iyer</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Avesh Khan</td>\n",
       "      <td>S Lamichhane</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>C Munro</td>\n",
       "      <td>PP Shaw</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>C Munro</td>\n",
       "      <td>RR Pant</td>\n",
       "      <td>14.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>C Munro</td>\n",
       "      <td>SS Iyer</td>\n",
       "      <td>14.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>CA Ingram</td>\n",
       "      <td>CH Morris</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>CA Ingram</td>\n",
       "      <td>GH Vihari</td>\n",
       "      <td>4.5</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>CA Ingram</td>\n",
       "      <td>HV Patel</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>CA Ingram</td>\n",
       "      <td>PP Shaw</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>CA Ingram</td>\n",
       "      <td>RR Pant</td>\n",
       "      <td>12.0</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>CA Ingram</td>\n",
       "      <td>SE Rutherford</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>CA Ingram</td>\n",
       "      <td>SS Iyer</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>CH Morris</td>\n",
       "      <td>AR Patel</td>\n",
       "      <td>9.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>CH Morris</td>\n",
       "      <td>RR Pant</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>CH Morris</td>\n",
       "      <td>SS Iyer</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>GH Vihari</td>\n",
       "      <td>K Rabada</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>HV Patel</td>\n",
       "      <td>GH Vihari</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>I Sharma</td>\n",
       "      <td>AR Patel</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>J Suchith</td>\n",
       "      <td>SS Iyer</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>K Rabada</td>\n",
       "      <td>AR Patel</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>K Rabada</td>\n",
       "      <td>Avesh Khan</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>KMA Paul</td>\n",
       "      <td>RR Pant</td>\n",
       "      <td>3.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>R Tewatia</td>\n",
       "      <td>AR Patel</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>R Tewatia</td>\n",
       "      <td>RR Pant</td>\n",
       "      <td>9.0</td>\n",
       "      <td>37.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>R Tewatia</td>\n",
       "      <td>SS Iyer</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>RR Pant</td>\n",
       "      <td>PP Shaw</td>\n",
       "      <td>11.0</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>AR Patel</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>C Munro</td>\n",
       "      <td>1.5</td>\n",
       "      <td>10.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>CA Ingram</td>\n",
       "      <td>4.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>KMA Paul</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>PP Shaw</td>\n",
       "      <td>13.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>RR Pant</td>\n",
       "      <td>8.0</td>\n",
       "      <td>20.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>SS Iyer</td>\n",
       "      <td>21.5</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>SE Rutherford</td>\n",
       "      <td>RR Pant</td>\n",
       "      <td>10.5</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>SS Iyer</td>\n",
       "      <td>PP Shaw</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>SS Iyer</td>\n",
       "      <td>RR Pant</td>\n",
       "      <td>11.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>SS Iyer</td>\n",
       "      <td>SE Rutherford</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>TA Boult</td>\n",
       "      <td>KMA Paul</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         player_1       player_2  score_1  score_2\n",
       "0        A Mishra       I Sharma      1.5      5.0\n",
       "1        A Mishra      J Suchith      2.0      5.0\n",
       "2        A Mishra       K Rabada      3.0      9.0\n",
       "3        A Mishra       KMA Paul      1.0      1.0\n",
       "4        A Mishra        RR Pant      0.0      6.0\n",
       "5        A Mishra       TA Boult      6.0      3.5\n",
       "6        AR Patel       KMA Paul      5.0      3.5\n",
       "7        AR Patel        RR Pant      2.0      3.0\n",
       "8        AR Patel  SE Rutherford     16.0     26.0\n",
       "9        AR Patel        SS Iyer      5.0      3.0\n",
       "10     Avesh Khan   S Lamichhane      0.0      0.0\n",
       "11        C Munro        PP Shaw      3.0      6.0\n",
       "12        C Munro        RR Pant     14.0     10.0\n",
       "13        C Munro        SS Iyer     14.0      5.0\n",
       "14      CA Ingram      CH Morris      0.0      0.0\n",
       "15      CA Ingram      GH Vihari      4.5      2.0\n",
       "16      CA Ingram       HV Patel      1.0      0.0\n",
       "17      CA Ingram        PP Shaw      1.0      2.0\n",
       "18      CA Ingram        RR Pant     12.0     15.0\n",
       "19      CA Ingram  SE Rutherford     10.0      2.0\n",
       "20      CA Ingram        SS Iyer      5.0      6.0\n",
       "21      CH Morris       AR Patel      9.0      4.0\n",
       "22      CH Morris        RR Pant      1.0      0.0\n",
       "23      CH Morris        SS Iyer      4.0      5.0\n",
       "24      GH Vihari       K Rabada      0.0      0.0\n",
       "25       HV Patel      GH Vihari      0.0      0.0\n",
       "26       I Sharma       AR Patel      0.0     14.0\n",
       "27      J Suchith        SS Iyer      1.0      0.0\n",
       "28       K Rabada       AR Patel      2.0      1.0\n",
       "29       K Rabada     Avesh Khan      0.0      4.0\n",
       "30       KMA Paul        RR Pant      3.0     13.0\n",
       "31      R Tewatia       AR Patel      6.0      6.0\n",
       "32      R Tewatia        RR Pant      9.0     37.0\n",
       "33      R Tewatia        SS Iyer      5.0      3.0\n",
       "34        RR Pant        PP Shaw     11.0     23.0\n",
       "35       S Dhawan       AR Patel      3.0      1.0\n",
       "36       S Dhawan        C Munro      1.5     10.5\n",
       "37       S Dhawan      CA Ingram      4.0     14.0\n",
       "38       S Dhawan       KMA Paul      1.0      0.0\n",
       "39       S Dhawan        PP Shaw     13.0     11.0\n",
       "40       S Dhawan        RR Pant      8.0     20.5\n",
       "41       S Dhawan        SS Iyer     21.5     23.0\n",
       "42  SE Rutherford        RR Pant     10.5      9.0\n",
       "43        SS Iyer        PP Shaw      8.0      8.0\n",
       "44        SS Iyer        RR Pant     11.0      7.0\n",
       "45        SS Iyer  SE Rutherford      4.0      2.0\n",
       "46       TA Boult       KMA Paul      0.0      4.0"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_data = data_dc.groupby(['player_1','player_2']).agg({'score_1': 'median' , 'score_2' : 'median'}).reset_index()\n",
    "combined_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "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>player_1</th>\n",
       "      <th>player_2</th>\n",
       "      <th>score_1</th>\n",
       "      <th>score_2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>AR Patel</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>C Munro</td>\n",
       "      <td>1.5</td>\n",
       "      <td>10.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>CA Ingram</td>\n",
       "      <td>4.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>KMA Paul</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>PP Shaw</td>\n",
       "      <td>13.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>RR Pant</td>\n",
       "      <td>8.0</td>\n",
       "      <td>20.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>SS Iyer</td>\n",
       "      <td>21.5</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    player_1   player_2  score_1  score_2\n",
       "35  S Dhawan   AR Patel      3.0      1.0\n",
       "36  S Dhawan    C Munro      1.5     10.5\n",
       "37  S Dhawan  CA Ingram      4.0     14.0\n",
       "38  S Dhawan   KMA Paul      1.0      0.0\n",
       "39  S Dhawan    PP Shaw     13.0     11.0\n",
       "40  S Dhawan    RR Pant      8.0     20.5\n",
       "41  S Dhawan    SS Iyer     21.5     23.0"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_data[combined_data['player_1'] == 'S Dhawan']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Compare the scores and assign each player as a 'Lead' if his score is more than the other player , or 'Follower' if score is less.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [],
   "source": [
    "combined_data['Lead'] = np.where(combined_data['score_1'] > combined_data['score_2'], combined_data['player_1'], combined_data['player_2'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [],
   "source": [
    "combined_data['Follower'] = np.where(combined_data['score_1'] < combined_data['score_2'], combined_data['player_1'], combined_data['player_2'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "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>player_1</th>\n",
       "      <th>player_2</th>\n",
       "      <th>score_1</th>\n",
       "      <th>score_2</th>\n",
       "      <th>Lead</th>\n",
       "      <th>Follower</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A Mishra</td>\n",
       "      <td>I Sharma</td>\n",
       "      <td>1.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>I Sharma</td>\n",
       "      <td>A Mishra</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>A Mishra</td>\n",
       "      <td>J Suchith</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>J Suchith</td>\n",
       "      <td>A Mishra</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>A Mishra</td>\n",
       "      <td>K Rabada</td>\n",
       "      <td>3.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>K Rabada</td>\n",
       "      <td>A Mishra</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>A Mishra</td>\n",
       "      <td>KMA Paul</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>KMA Paul</td>\n",
       "      <td>KMA Paul</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>A Mishra</td>\n",
       "      <td>RR Pant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>RR Pant</td>\n",
       "      <td>A Mishra</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   player_1   player_2  score_1  score_2       Lead  Follower\n",
       "0  A Mishra   I Sharma      1.5      5.0   I Sharma  A Mishra\n",
       "1  A Mishra  J Suchith      2.0      5.0  J Suchith  A Mishra\n",
       "2  A Mishra   K Rabada      3.0      9.0   K Rabada  A Mishra\n",
       "3  A Mishra   KMA Paul      1.0      1.0   KMA Paul  KMA Paul\n",
       "4  A Mishra    RR Pant      0.0      6.0    RR Pant  A Mishra"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Compute performance score : (sum of scores)/ (max of the two scores)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     1.300000\n",
       "1     1.400000\n",
       "2     1.333333\n",
       "3     2.000000\n",
       "4     1.000000\n",
       "5     1.583333\n",
       "6     1.700000\n",
       "7     1.666667\n",
       "8     1.615385\n",
       "9     1.600000\n",
       "10    0.000000\n",
       "11    1.500000\n",
       "12    1.714286\n",
       "13    1.357143\n",
       "14    0.000000\n",
       "15    1.444444\n",
       "16    1.000000\n",
       "17    1.500000\n",
       "18    1.800000\n",
       "19    1.200000\n",
       "20    1.833333\n",
       "21    1.444444\n",
       "22    1.000000\n",
       "23    1.800000\n",
       "24    0.000000\n",
       "25    0.000000\n",
       "26    1.000000\n",
       "27    1.000000\n",
       "28    1.500000\n",
       "29    1.000000\n",
       "30    1.230769\n",
       "31    2.000000\n",
       "32    1.243243\n",
       "33    1.600000\n",
       "34    1.478261\n",
       "35    1.333333\n",
       "36    1.142857\n",
       "37    1.285714\n",
       "38    1.000000\n",
       "39    1.846154\n",
       "40    1.390244\n",
       "41    1.934783\n",
       "42    1.857143\n",
       "43    2.000000\n",
       "44    1.636364\n",
       "45    1.500000\n",
       "46    1.000000\n",
       "Name: performance_score, dtype: float64"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def get_prf_score(row):\n",
    "    sum_score = row['score_1'] + row['score_2']\n",
    "    if (row['score_1'] > 0 ) | (row['score_2']> 0):\n",
    "        \n",
    "        if row['score_1'] >= row['score_2']:\n",
    "            value = sum_score/row['score_1']\n",
    "        else:\n",
    "            value = sum_score/row['score_2']\n",
    "    else:\n",
    "        value = 0\n",
    "    \n",
    "        \n",
    "        \n",
    "    return value\n",
    "\n",
    "combined_data['performance_score'] = combined_data[['score_1','score_2']].apply(lambda row : get_prf_score(row) , axis = 1)\n",
    "combined_data['performance_score']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "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>player_1</th>\n",
       "      <th>player_2</th>\n",
       "      <th>score_1</th>\n",
       "      <th>score_2</th>\n",
       "      <th>Lead</th>\n",
       "      <th>Follower</th>\n",
       "      <th>performance_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A Mishra</td>\n",
       "      <td>I Sharma</td>\n",
       "      <td>1.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>I Sharma</td>\n",
       "      <td>A Mishra</td>\n",
       "      <td>1.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>A Mishra</td>\n",
       "      <td>J Suchith</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>J Suchith</td>\n",
       "      <td>A Mishra</td>\n",
       "      <td>1.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>A Mishra</td>\n",
       "      <td>K Rabada</td>\n",
       "      <td>3.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>K Rabada</td>\n",
       "      <td>A Mishra</td>\n",
       "      <td>1.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>A Mishra</td>\n",
       "      <td>KMA Paul</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>KMA Paul</td>\n",
       "      <td>KMA Paul</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>A Mishra</td>\n",
       "      <td>RR Pant</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>RR Pant</td>\n",
       "      <td>A Mishra</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   player_1   player_2  score_1  score_2       Lead  Follower  \\\n",
       "0  A Mishra   I Sharma      1.5      5.0   I Sharma  A Mishra   \n",
       "1  A Mishra  J Suchith      2.0      5.0  J Suchith  A Mishra   \n",
       "2  A Mishra   K Rabada      3.0      9.0   K Rabada  A Mishra   \n",
       "3  A Mishra   KMA Paul      1.0      1.0   KMA Paul  KMA Paul   \n",
       "4  A Mishra    RR Pant      0.0      6.0    RR Pant  A Mishra   \n",
       "\n",
       "   performance_score  \n",
       "0           1.300000  \n",
       "1           1.400000  \n",
       "2           1.333333  \n",
       "3           2.000000  \n",
       "4           1.000000  "
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "# construct graph\n",
    "G = nx.from_pandas_edgelist(combined_data, \"Follower\", \"Lead\", ['performance_score'], create_using=nx.MultiDiGraph())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(20, 47)"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "G.order() , G.size() ## nodes and edges "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['A Mishra',\n",
       " 'I Sharma',\n",
       " 'J Suchith',\n",
       " 'K Rabada',\n",
       " 'KMA Paul',\n",
       " 'RR Pant',\n",
       " 'TA Boult',\n",
       " 'AR Patel',\n",
       " 'SE Rutherford',\n",
       " 'SS Iyer',\n",
       " 'S Lamichhane',\n",
       " 'C Munro',\n",
       " 'PP Shaw',\n",
       " 'CH Morris',\n",
       " 'GH Vihari',\n",
       " 'CA Ingram',\n",
       " 'HV Patel',\n",
       " 'Avesh Khan',\n",
       " 'R Tewatia',\n",
       " 'S Dhawan']"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(G.nodes())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('A Mishra', 'I Sharma'),\n",
       " ('A Mishra', 'J Suchith'),\n",
       " ('A Mishra', 'K Rabada'),\n",
       " ('A Mishra', 'RR Pant'),\n",
       " ('I Sharma', 'AR Patel'),\n",
       " ('K Rabada', 'K Rabada'),\n",
       " ('K Rabada', 'Avesh Khan'),\n",
       " ('KMA Paul', 'KMA Paul'),\n",
       " ('KMA Paul', 'AR Patel'),\n",
       " ('KMA Paul', 'RR Pant'),\n",
       " ('KMA Paul', 'S Dhawan'),\n",
       " ('RR Pant', 'C Munro'),\n",
       " ('RR Pant', 'CH Morris'),\n",
       " ('RR Pant', 'PP Shaw'),\n",
       " ('RR Pant', 'SE Rutherford'),\n",
       " ('RR Pant', 'SS Iyer'),\n",
       " ('TA Boult', 'A Mishra'),\n",
       " ('TA Boult', 'KMA Paul'),\n",
       " ('AR Patel', 'RR Pant'),\n",
       " ('AR Patel', 'SE Rutherford'),\n",
       " ('AR Patel', 'CH Morris'),\n",
       " ('AR Patel', 'K Rabada'),\n",
       " ('AR Patel', 'AR Patel'),\n",
       " ('AR Patel', 'S Dhawan'),\n",
       " ('SE Rutherford', 'CA Ingram'),\n",
       " ('SE Rutherford', 'SS Iyer'),\n",
       " ('SS Iyer', 'AR Patel'),\n",
       " ('SS Iyer', 'C Munro'),\n",
       " ('SS Iyer', 'J Suchith'),\n",
       " ('SS Iyer', 'R Tewatia'),\n",
       " ('S Lamichhane', 'S Lamichhane'),\n",
       " ('C Munro', 'PP Shaw'),\n",
       " ('PP Shaw', 'S Dhawan'),\n",
       " ('PP Shaw', 'PP Shaw'),\n",
       " ('CH Morris', 'CH Morris'),\n",
       " ('CH Morris', 'SS Iyer'),\n",
       " ('GH Vihari', 'CA Ingram'),\n",
       " ('GH Vihari', 'GH Vihari'),\n",
       " ('CA Ingram', 'PP Shaw'),\n",
       " ('CA Ingram', 'RR Pant'),\n",
       " ('CA Ingram', 'SS Iyer'),\n",
       " ('HV Patel', 'CA Ingram'),\n",
       " ('R Tewatia', 'RR Pant'),\n",
       " ('S Dhawan', 'C Munro'),\n",
       " ('S Dhawan', 'CA Ingram'),\n",
       " ('S Dhawan', 'RR Pant'),\n",
       " ('S Dhawan', 'SS Iyer')]"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(G.edges())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Select top 10 batting partnership with maximum performance score , so that it can be highlighted in the graph."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('A Mishra', 'I Sharma', {'performance_score': 1.3}),\n",
       " ('A Mishra', 'J Suchith', {'performance_score': 1.4}),\n",
       " ('A Mishra', 'K Rabada', {'performance_score': 1.3333333333333333}),\n",
       " ('A Mishra', 'RR Pant', {'performance_score': 1.0}),\n",
       " ('I Sharma', 'AR Patel', {'performance_score': 1.0}),\n",
       " ('K Rabada', 'K Rabada', {'performance_score': 0.0}),\n",
       " ('K Rabada', 'Avesh Khan', {'performance_score': 1.0}),\n",
       " ('KMA Paul', 'KMA Paul', {'performance_score': 2.0}),\n",
       " ('KMA Paul', 'AR Patel', {'performance_score': 1.7}),\n",
       " ('KMA Paul', 'RR Pant', {'performance_score': 1.2307692307692308}),\n",
       " ('KMA Paul', 'S Dhawan', {'performance_score': 1.0}),\n",
       " ('RR Pant', 'C Munro', {'performance_score': 1.7142857142857142}),\n",
       " ('RR Pant', 'CH Morris', {'performance_score': 1.0}),\n",
       " ('RR Pant', 'PP Shaw', {'performance_score': 1.4782608695652173}),\n",
       " ('RR Pant', 'SE Rutherford', {'performance_score': 1.8571428571428572}),\n",
       " ('RR Pant', 'SS Iyer', {'performance_score': 1.6363636363636365}),\n",
       " ('TA Boult', 'A Mishra', {'performance_score': 1.5833333333333333}),\n",
       " ('TA Boult', 'KMA Paul', {'performance_score': 1.0}),\n",
       " ('AR Patel', 'RR Pant', {'performance_score': 1.6666666666666667}),\n",
       " ('AR Patel', 'SE Rutherford', {'performance_score': 1.6153846153846154}),\n",
       " ('AR Patel', 'CH Morris', {'performance_score': 1.4444444444444444}),\n",
       " ('AR Patel', 'K Rabada', {'performance_score': 1.5}),\n",
       " ('AR Patel', 'AR Patel', {'performance_score': 2.0}),\n",
       " ('AR Patel', 'S Dhawan', {'performance_score': 1.3333333333333333}),\n",
       " ('SE Rutherford', 'CA Ingram', {'performance_score': 1.2}),\n",
       " ('SE Rutherford', 'SS Iyer', {'performance_score': 1.5}),\n",
       " ('SS Iyer', 'AR Patel', {'performance_score': 1.6}),\n",
       " ('SS Iyer', 'C Munro', {'performance_score': 1.3571428571428572}),\n",
       " ('SS Iyer', 'J Suchith', {'performance_score': 1.0}),\n",
       " ('SS Iyer', 'R Tewatia', {'performance_score': 1.6}),\n",
       " ('S Lamichhane', 'S Lamichhane', {'performance_score': 0.0}),\n",
       " ('C Munro', 'PP Shaw', {'performance_score': 1.5}),\n",
       " ('PP Shaw', 'S Dhawan', {'performance_score': 1.8461538461538463}),\n",
       " ('PP Shaw', 'PP Shaw', {'performance_score': 2.0}),\n",
       " ('CH Morris', 'CH Morris', {'performance_score': 0.0}),\n",
       " ('CH Morris', 'SS Iyer', {'performance_score': 1.8}),\n",
       " ('GH Vihari', 'CA Ingram', {'performance_score': 1.4444444444444444}),\n",
       " ('GH Vihari', 'GH Vihari', {'performance_score': 0.0}),\n",
       " ('CA Ingram', 'PP Shaw', {'performance_score': 1.5}),\n",
       " ('CA Ingram', 'RR Pant', {'performance_score': 1.8}),\n",
       " ('CA Ingram', 'SS Iyer', {'performance_score': 1.8333333333333333}),\n",
       " ('HV Patel', 'CA Ingram', {'performance_score': 1.0}),\n",
       " ('R Tewatia', 'RR Pant', {'performance_score': 1.2432432432432432}),\n",
       " ('S Dhawan', 'C Munro', {'performance_score': 1.1428571428571428}),\n",
       " ('S Dhawan', 'CA Ingram', {'performance_score': 1.2857142857142858}),\n",
       " ('S Dhawan', 'RR Pant', {'performance_score': 1.3902439024390243}),\n",
       " ('S Dhawan', 'SS Iyer', {'performance_score': 1.934782608695652})]"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "edge_data = list(G.edges(data=True))\n",
    "edge_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('KMA Paul', 'KMA Paul', {'performance_score': 2.0}),\n",
       " ('AR Patel', 'AR Patel', {'performance_score': 2.0}),\n",
       " ('PP Shaw', 'PP Shaw', {'performance_score': 2.0}),\n",
       " ('S Dhawan', 'SS Iyer', {'performance_score': 1.934782608695652}),\n",
       " ('RR Pant', 'SE Rutherford', {'performance_score': 1.8571428571428572}),\n",
       " ('PP Shaw', 'S Dhawan', {'performance_score': 1.8461538461538463}),\n",
       " ('CA Ingram', 'SS Iyer', {'performance_score': 1.8333333333333333}),\n",
       " ('CH Morris', 'SS Iyer', {'performance_score': 1.8}),\n",
       " ('CA Ingram', 'RR Pant', {'performance_score': 1.8}),\n",
       " ('RR Pant', 'C Munro', {'performance_score': 1.7142857142857142})]"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_10_performance = sorted(edge_data , key = lambda x : x[2]['performance_score'] , reverse = True)[:10]\n",
    "top_10_performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('KMA Paul', 'KMA Paul'),\n",
       " ('AR Patel', 'AR Patel'),\n",
       " ('PP Shaw', 'PP Shaw'),\n",
       " ('S Dhawan', 'SS Iyer'),\n",
       " ('RR Pant', 'SE Rutherford'),\n",
       " ('PP Shaw', 'S Dhawan'),\n",
       " ('CA Ingram', 'SS Iyer'),\n",
       " ('CH Morris', 'SS Iyer'),\n",
       " ('CA Ingram', 'RR Pant'),\n",
       " ('RR Pant', 'C Munro')]"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_10_edges = [(u,v) for u,v,w in top_10_performance]\n",
    "top_10_edges"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [],
   "source": [
    "top_10_dict = {}\n",
    "for u,v,w in top_10_performance:\n",
    "    top_10_dict[(u,v)] = np.round(w['performance_score'],2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{('KMA Paul', 'KMA Paul'): 2.0,\n",
       " ('AR Patel', 'AR Patel'): 2.0,\n",
       " ('PP Shaw', 'PP Shaw'): 2.0,\n",
       " ('S Dhawan', 'SS Iyer'): 1.93,\n",
       " ('RR Pant', 'SE Rutherford'): 1.86,\n",
       " ('PP Shaw', 'S Dhawan'): 1.85,\n",
       " ('CA Ingram', 'SS Iyer'): 1.83,\n",
       " ('CH Morris', 'SS Iyer'): 1.8,\n",
       " ('CA Ingram', 'RR Pant'): 1.8,\n",
       " ('RR Pant', 'C Munro'): 1.71}"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_10_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (15,10))\n",
    "circ_pos = nx.spring_layout(G , k=20 , seed = 21) \n",
    "\n",
    "#Use the networkx draw function to easily visualise the graph\n",
    "nx.draw(G,circ_pos)\n",
    "\n",
    "#highlight the central airports and those in periphery \n",
    "nx.draw_networkx_nodes(G, circ_pos,  alpha=1, node_size = 1000)\n",
    "\n",
    "\n",
    "# edges\n",
    "nx.draw_networkx_edges(G,circ_pos,\n",
    "                       edgelist=G.edges(),\n",
    "                       width=2,alpha=0.3,edge_color='green',  arrowsize = 30) \n",
    "# edges\n",
    "nx.draw_networkx_edges(G,circ_pos,\n",
    "                       edgelist=top_10_edges,\n",
    "                       width=2,alpha=0.3,edge_color='red',  arrowsize = 30) \n",
    "\n",
    "\n",
    "## node labels \n",
    "node_name={}\n",
    "for node in G.nodes():\n",
    "    node_name[node]=str(node)\n",
    "\n",
    "nx.draw_networkx_labels(G, circ_pos,node_name,font_size=13)\n",
    "\n",
    "## edge labels \n",
    "nx.draw_networkx_edge_labels(G,circ_pos,font_size=16, edge_labels = top_10_dict)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('A Mishra', 5),\n",
       " ('I Sharma', 2),\n",
       " ('J Suchith', 2),\n",
       " ('K Rabada', 5),\n",
       " ('KMA Paul', 6),\n",
       " ('RR Pant', 11),\n",
       " ('TA Boult', 2),\n",
       " ('AR Patel', 10),\n",
       " ('SE Rutherford', 4),\n",
       " ('SS Iyer', 9),\n",
       " ('S Lamichhane', 2),\n",
       " ('C Munro', 4),\n",
       " ('PP Shaw', 6),\n",
       " ('CH Morris', 5),\n",
       " ('GH Vihari', 3),\n",
       " ('CA Ingram', 7),\n",
       " ('HV Patel', 1),\n",
       " ('Avesh Khan', 1),\n",
       " ('R Tewatia', 2),\n",
       " ('S Dhawan', 7)]"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Batting partnership\n",
    "list(G.degree())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('RR Pant', 11),\n",
       " ('AR Patel', 10),\n",
       " ('SS Iyer', 9),\n",
       " ('CA Ingram', 7),\n",
       " ('S Dhawan', 7),\n",
       " ('KMA Paul', 6),\n",
       " ('PP Shaw', 6),\n",
       " ('A Mishra', 5),\n",
       " ('K Rabada', 5),\n",
       " ('CH Morris', 5),\n",
       " ('SE Rutherford', 4),\n",
       " ('C Munro', 4),\n",
       " ('GH Vihari', 3),\n",
       " ('I Sharma', 2),\n",
       " ('J Suchith', 2),\n",
       " ('TA Boult', 2),\n",
       " ('S Lamichhane', 2),\n",
       " ('R Tewatia', 2),\n",
       " ('HV Patel', 1),\n",
       " ('Avesh Khan', 1)]"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Maximum number of batting partnership\n",
    "\n",
    "degree_list = list(G.degree())\n",
    "sorted(degree_list , key = lambda x : x[1] , reverse = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('RR Pant', 6),\n",
       " ('SS Iyer', 5),\n",
       " ('AR Patel', 4),\n",
       " ('PP Shaw', 4),\n",
       " ('CA Ingram', 4),\n",
       " ('K Rabada', 3),\n",
       " ('C Munro', 3),\n",
       " ('CH Morris', 3),\n",
       " ('S Dhawan', 3),\n",
       " ('J Suchith', 2),\n",
       " ('KMA Paul', 2),\n",
       " ('SE Rutherford', 2),\n",
       " ('A Mishra', 1),\n",
       " ('I Sharma', 1),\n",
       " ('S Lamichhane', 1),\n",
       " ('GH Vihari', 1),\n",
       " ('Avesh Khan', 1),\n",
       " ('R Tewatia', 1),\n",
       " ('TA Boult', 0),\n",
       " ('HV Patel', 0)]"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted(G.in_degree , key = lambda x : x[1] , reverse = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Partnership with RR Pant and with RR Pant contributing to the batting score is 6, followed by SS Iyer at 5 winning partenrships.  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The data source and analysis guidance : https://www.analyticsvidhya.com/blog/2020/02/network-analysis-ipl-data/?utm_source=blog&utm_medium=introduction-graph-theory-applications-python"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
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}