ISL_data_and_cmapsPlots.ipynb

{
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  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Untitled2.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyN4EfAC+ncPWhg0gdtaG64O",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/nirmitktripathii/Football_Data_analysis_ISL/blob/main/ISL_data_and_cmapsPlots.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "plUe4a5dHhfB"
      },
      "source": [
        "import io\n",
        "from google.colab import files\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
              "data": 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              "ok": true,
              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
              ],
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 73
        },
        "id": "cNwdzjGmOTor",
        "outputId": "fb0d96be-e8bd-4c62-fe38-780ea66bc8c9"
      },
      "source": [
        "uploaded = files.upload()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-7ba025af-8b88-44bc-810f-e11964501ab9\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-7ba025af-8b88-44bc-810f-e11964501ab9\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Saving isl_data.csv to isl_data.csv\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ip0tvxNNOcOK"
      },
      "source": [
        "import pandas as pd"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 386
        },
        "id": "b72UHM7MPVVm",
        "outputId": "3960ed4d-a390-46a8-c1d3-7553aad7dd5d"
      },
      "source": [
        "isl_df = pd.read_csv(io.BytesIO(uploaded['isl_data.csv']))\n",
        "isl_df"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>team.name</th>\n",
              "      <th>position</th>\n",
              "      <th>matches</th>\n",
              "      <th>wins</th>\n",
              "      <th>losses</th>\n",
              "      <th>draws</th>\n",
              "      <th>scoresFor</th>\n",
              "      <th>scoresAgainst</th>\n",
              "      <th>points</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Mumbai City FC</td>\n",
              "      <td>1</td>\n",
              "      <td>20</td>\n",
              "      <td>12</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>35</td>\n",
              "      <td>18</td>\n",
              "      <td>40</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ATK Mohun Bagan FC</td>\n",
              "      <td>2</td>\n",
              "      <td>20</td>\n",
              "      <td>12</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>28</td>\n",
              "      <td>15</td>\n",
              "      <td>40</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Northeast United</td>\n",
              "      <td>3</td>\n",
              "      <td>20</td>\n",
              "      <td>8</td>\n",
              "      <td>3</td>\n",
              "      <td>9</td>\n",
              "      <td>31</td>\n",
              "      <td>25</td>\n",
              "      <td>33</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>FC Goa</td>\n",
              "      <td>4</td>\n",
              "      <td>20</td>\n",
              "      <td>7</td>\n",
              "      <td>3</td>\n",
              "      <td>10</td>\n",
              "      <td>31</td>\n",
              "      <td>23</td>\n",
              "      <td>31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Hyderabad FC</td>\n",
              "      <td>5</td>\n",
              "      <td>20</td>\n",
              "      <td>6</td>\n",
              "      <td>3</td>\n",
              "      <td>11</td>\n",
              "      <td>27</td>\n",
              "      <td>19</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Jamshedpur</td>\n",
              "      <td>6</td>\n",
              "      <td>20</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>6</td>\n",
              "      <td>21</td>\n",
              "      <td>22</td>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Bengaluru FC</td>\n",
              "      <td>7</td>\n",
              "      <td>20</td>\n",
              "      <td>5</td>\n",
              "      <td>8</td>\n",
              "      <td>7</td>\n",
              "      <td>26</td>\n",
              "      <td>28</td>\n",
              "      <td>22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Chennaiyin FC</td>\n",
              "      <td>8</td>\n",
              "      <td>20</td>\n",
              "      <td>3</td>\n",
              "      <td>6</td>\n",
              "      <td>11</td>\n",
              "      <td>17</td>\n",
              "      <td>23</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>SC East Bengal</td>\n",
              "      <td>9</td>\n",
              "      <td>20</td>\n",
              "      <td>3</td>\n",
              "      <td>9</td>\n",
              "      <td>8</td>\n",
              "      <td>22</td>\n",
              "      <td>33</td>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Kerala Blasters</td>\n",
              "      <td>10</td>\n",
              "      <td>20</td>\n",
              "      <td>3</td>\n",
              "      <td>9</td>\n",
              "      <td>8</td>\n",
              "      <td>23</td>\n",
              "      <td>36</td>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Odisha Football Club</td>\n",
              "      <td>11</td>\n",
              "      <td>20</td>\n",
              "      <td>2</td>\n",
              "      <td>12</td>\n",
              "      <td>6</td>\n",
              "      <td>25</td>\n",
              "      <td>44</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "               team.name  position  matches  ...  scoresFor  scoresAgainst  points\n",
              "0         Mumbai City FC         1       20  ...         35             18      40\n",
              "1     ATK Mohun Bagan FC         2       20  ...         28             15      40\n",
              "2       Northeast United         3       20  ...         31             25      33\n",
              "3                 FC Goa         4       20  ...         31             23      31\n",
              "4           Hyderabad FC         5       20  ...         27             19      29\n",
              "5             Jamshedpur         6       20  ...         21             22      27\n",
              "6           Bengaluru FC         7       20  ...         26             28      22\n",
              "7          Chennaiyin FC         8       20  ...         17             23      20\n",
              "8         SC East Bengal         9       20  ...         22             33      17\n",
              "9        Kerala Blasters        10       20  ...         23             36      17\n",
              "10  Odisha Football Club        11       20  ...         25             44      12\n",
              "\n",
              "[11 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zWoXCubDPj7X",
        "outputId": "5d8309bc-3b0a-4c46-ef11-6835bdf49560"
      },
      "source": [
        "isl_df.info()\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 11 entries, 0 to 10\n",
            "Data columns (total 9 columns):\n",
            " #   Column         Non-Null Count  Dtype \n",
            "---  ------         --------------  ----- \n",
            " 0   team.name      11 non-null     object\n",
            " 1   position       11 non-null     int64 \n",
            " 2   matches        11 non-null     int64 \n",
            " 3   wins           11 non-null     int64 \n",
            " 4   losses         11 non-null     int64 \n",
            " 5   draws          11 non-null     int64 \n",
            " 6   scoresFor      11 non-null     int64 \n",
            " 7   scoresAgainst  11 non-null     int64 \n",
            " 8   points         11 non-null     int64 \n",
            "dtypes: int64(8), object(1)\n",
            "memory usage: 920.0+ bytes\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 294
        },
        "id": "dCR_5Oz0QzDh",
        "outputId": "80611a2f-9b54-489a-fcb7-c767fb72b146"
      },
      "source": [
        "isl_df.describe().round(2)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>position</th>\n",
              "      <th>matches</th>\n",
              "      <th>wins</th>\n",
              "      <th>losses</th>\n",
              "      <th>draws</th>\n",
              "      <th>scoresFor</th>\n",
              "      <th>scoresAgainst</th>\n",
              "      <th>points</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>11.00</td>\n",
              "      <td>11.0</td>\n",
              "      <td>11.00</td>\n",
              "      <td>11.00</td>\n",
              "      <td>11.00</td>\n",
              "      <td>11.00</td>\n",
              "      <td>11.00</td>\n",
              "      <td>11.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>6.00</td>\n",
              "      <td>20.0</td>\n",
              "      <td>6.18</td>\n",
              "      <td>6.18</td>\n",
              "      <td>7.64</td>\n",
              "      <td>26.00</td>\n",
              "      <td>26.00</td>\n",
              "      <td>26.18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>3.32</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.49</td>\n",
              "      <td>3.06</td>\n",
              "      <td>2.50</td>\n",
              "      <td>5.18</td>\n",
              "      <td>8.64</td>\n",
              "      <td>9.41</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1.00</td>\n",
              "      <td>20.0</td>\n",
              "      <td>2.00</td>\n",
              "      <td>3.00</td>\n",
              "      <td>4.00</td>\n",
              "      <td>17.00</td>\n",
              "      <td>15.00</td>\n",
              "      <td>12.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>3.50</td>\n",
              "      <td>20.0</td>\n",
              "      <td>3.00</td>\n",
              "      <td>3.50</td>\n",
              "      <td>6.00</td>\n",
              "      <td>22.50</td>\n",
              "      <td>20.50</td>\n",
              "      <td>18.50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>6.00</td>\n",
              "      <td>20.0</td>\n",
              "      <td>6.00</td>\n",
              "      <td>6.00</td>\n",
              "      <td>8.00</td>\n",
              "      <td>26.00</td>\n",
              "      <td>23.00</td>\n",
              "      <td>27.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>8.50</td>\n",
              "      <td>20.0</td>\n",
              "      <td>7.50</td>\n",
              "      <td>8.50</td>\n",
              "      <td>9.50</td>\n",
              "      <td>29.50</td>\n",
              "      <td>30.50</td>\n",
              "      <td>32.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>11.00</td>\n",
              "      <td>20.0</td>\n",
              "      <td>12.00</td>\n",
              "      <td>12.00</td>\n",
              "      <td>11.00</td>\n",
              "      <td>35.00</td>\n",
              "      <td>44.00</td>\n",
              "      <td>40.00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       position  matches   wins  ...  scoresFor  scoresAgainst  points\n",
              "count     11.00     11.0  11.00  ...      11.00          11.00   11.00\n",
              "mean       6.00     20.0   6.18  ...      26.00          26.00   26.18\n",
              "std        3.32      0.0   3.49  ...       5.18           8.64    9.41\n",
              "min        1.00     20.0   2.00  ...      17.00          15.00   12.00\n",
              "25%        3.50     20.0   3.00  ...      22.50          20.50   18.50\n",
              "50%        6.00     20.0   6.00  ...      26.00          23.00   27.00\n",
              "75%        8.50     20.0   7.50  ...      29.50          30.50   32.00\n",
              "max       11.00     20.0  12.00  ...      35.00          44.00   40.00\n",
              "\n",
              "[8 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1GUNQZjvQ2SM",
        "outputId": "9e4e39b7-2f12-410d-ee8c-ab54986e57e5"
      },
      "source": [
        "isl_df.mean().round(2)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "position          6.00\n",
              "matches          20.00\n",
              "wins              6.18\n",
              "losses            6.18\n",
              "draws             7.64\n",
              "scoresFor        26.00\n",
              "scoresAgainst    26.00\n",
              "points           26.18\n",
              "dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nl4LuF5XQ78j",
        "outputId": "eb3d425e-193b-4941-c690-9138416f69bf"
      },
      "source": [
        "isl_df[['scoresFor','scoresAgainst']].mean().round(2)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "scoresFor        26.0\n",
              "scoresAgainst    26.0\n",
              "dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0AEzoyfwRHKI",
        "outputId": "eaa0ae50-275e-40c1-85e5-9e66bf1fc3e2"
      },
      "source": [
        "import numpy as np\n",
        "meanGF = np.mean(isl_df[['scoresFor']])\n",
        "meanGF\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "scoresFor    26.0\n",
              "dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WyRgytnbRlQy",
        "outputId": "2698c792-b2ee-4233-8aba-9c74a534f577"
      },
      "source": [
        "meanGA = np.mean(isl_df[['scoresAgainst']])\n",
        "meanGA"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "scoresAgainst    26.0\n",
              "dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 386
        },
        "id": "zimKxv0xRwg1",
        "outputId": "da47ccc1-bc42-4ad0-a3c0-051db7347d95"
      },
      "source": [
        "isl_df"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>team.name</th>\n",
              "      <th>position</th>\n",
              "      <th>matches</th>\n",
              "      <th>wins</th>\n",
              "      <th>losses</th>\n",
              "      <th>draws</th>\n",
              "      <th>scoresFor</th>\n",
              "      <th>scoresAgainst</th>\n",
              "      <th>points</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Mumbai City FC</td>\n",
              "      <td>1</td>\n",
              "      <td>20</td>\n",
              "      <td>12</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>35</td>\n",
              "      <td>18</td>\n",
              "      <td>40</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ATK Mohun Bagan FC</td>\n",
              "      <td>2</td>\n",
              "      <td>20</td>\n",
              "      <td>12</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>28</td>\n",
              "      <td>15</td>\n",
              "      <td>40</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Northeast United</td>\n",
              "      <td>3</td>\n",
              "      <td>20</td>\n",
              "      <td>8</td>\n",
              "      <td>3</td>\n",
              "      <td>9</td>\n",
              "      <td>31</td>\n",
              "      <td>25</td>\n",
              "      <td>33</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>FC Goa</td>\n",
              "      <td>4</td>\n",
              "      <td>20</td>\n",
              "      <td>7</td>\n",
              "      <td>3</td>\n",
              "      <td>10</td>\n",
              "      <td>31</td>\n",
              "      <td>23</td>\n",
              "      <td>31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Hyderabad FC</td>\n",
              "      <td>5</td>\n",
              "      <td>20</td>\n",
              "      <td>6</td>\n",
              "      <td>3</td>\n",
              "      <td>11</td>\n",
              "      <td>27</td>\n",
              "      <td>19</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Jamshedpur</td>\n",
              "      <td>6</td>\n",
              "      <td>20</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>6</td>\n",
              "      <td>21</td>\n",
              "      <td>22</td>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Bengaluru FC</td>\n",
              "      <td>7</td>\n",
              "      <td>20</td>\n",
              "      <td>5</td>\n",
              "      <td>8</td>\n",
              "      <td>7</td>\n",
              "      <td>26</td>\n",
              "      <td>28</td>\n",
              "      <td>22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Chennaiyin FC</td>\n",
              "      <td>8</td>\n",
              "      <td>20</td>\n",
              "      <td>3</td>\n",
              "      <td>6</td>\n",
              "      <td>11</td>\n",
              "      <td>17</td>\n",
              "      <td>23</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>SC East Bengal</td>\n",
              "      <td>9</td>\n",
              "      <td>20</td>\n",
              "      <td>3</td>\n",
              "      <td>9</td>\n",
              "      <td>8</td>\n",
              "      <td>22</td>\n",
              "      <td>33</td>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Kerala Blasters</td>\n",
              "      <td>10</td>\n",
              "      <td>20</td>\n",
              "      <td>3</td>\n",
              "      <td>9</td>\n",
              "      <td>8</td>\n",
              "      <td>23</td>\n",
              "      <td>36</td>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Odisha Football Club</td>\n",
              "      <td>11</td>\n",
              "      <td>20</td>\n",
              "      <td>2</td>\n",
              "      <td>12</td>\n",
              "      <td>6</td>\n",
              "      <td>25</td>\n",
              "      <td>44</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "               team.name  position  matches  ...  scoresFor  scoresAgainst  points\n",
              "0         Mumbai City FC         1       20  ...         35             18      40\n",
              "1     ATK Mohun Bagan FC         2       20  ...         28             15      40\n",
              "2       Northeast United         3       20  ...         31             25      33\n",
              "3                 FC Goa         4       20  ...         31             23      31\n",
              "4           Hyderabad FC         5       20  ...         27             19      29\n",
              "5             Jamshedpur         6       20  ...         21             22      27\n",
              "6           Bengaluru FC         7       20  ...         26             28      22\n",
              "7          Chennaiyin FC         8       20  ...         17             23      20\n",
              "8         SC East Bengal         9       20  ...         22             33      17\n",
              "9        Kerala Blasters        10       20  ...         23             36      17\n",
              "10  Odisha Football Club        11       20  ...         25             44      12\n",
              "\n",
              "[11 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ypznExm9oOVC",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 269
        },
        "outputId": "998f4a03-0b19-49bc-c273-962ef3bc3036"
      },
      "source": [
        "isl_df.loc[isl_df['scoresFor'] >= 25]\n",
        "    "
      ],
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\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>team.name</th>\n",
              "      <th>position</th>\n",
              "      <th>matches</th>\n",
              "      <th>wins</th>\n",
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              "      <th>scoresFor</th>\n",
              "      <th>scoresAgainst</th>\n",
              "      <th>points</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Mumbai City FC</td>\n",
              "      <td>1</td>\n",
              "      <td>20</td>\n",
              "      <td>12</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>35</td>\n",
              "      <td>18</td>\n",
              "      <td>40</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ATK Mohun Bagan FC</td>\n",
              "      <td>2</td>\n",
              "      <td>20</td>\n",
              "      <td>12</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>28</td>\n",
              "      <td>15</td>\n",
              "      <td>40</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Northeast United</td>\n",
              "      <td>3</td>\n",
              "      <td>20</td>\n",
              "      <td>8</td>\n",
              "      <td>3</td>\n",
              "      <td>9</td>\n",
              "      <td>31</td>\n",
              "      <td>25</td>\n",
              "      <td>33</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>FC Goa</td>\n",
              "      <td>4</td>\n",
              "      <td>20</td>\n",
              "      <td>7</td>\n",
              "      <td>3</td>\n",
              "      <td>10</td>\n",
              "      <td>31</td>\n",
              "      <td>23</td>\n",
              "      <td>31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Hyderabad FC</td>\n",
              "      <td>5</td>\n",
              "      <td>20</td>\n",
              "      <td>6</td>\n",
              "      <td>3</td>\n",
              "      <td>11</td>\n",
              "      <td>27</td>\n",
              "      <td>19</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Bengaluru FC</td>\n",
              "      <td>7</td>\n",
              "      <td>20</td>\n",
              "      <td>5</td>\n",
              "      <td>8</td>\n",
              "      <td>7</td>\n",
              "      <td>26</td>\n",
              "      <td>28</td>\n",
              "      <td>22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Odisha Football Club</td>\n",
              "      <td>11</td>\n",
              "      <td>20</td>\n",
              "      <td>2</td>\n",
              "      <td>12</td>\n",
              "      <td>6</td>\n",
              "      <td>25</td>\n",
              "      <td>44</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "               team.name  position  matches  ...  scoresFor  scoresAgainst  points\n",
              "0         Mumbai City FC         1       20  ...         35             18      40\n",
              "1     ATK Mohun Bagan FC         2       20  ...         28             15      40\n",
              "2       Northeast United         3       20  ...         31             25      33\n",
              "3                 FC Goa         4       20  ...         31             23      31\n",
              "4           Hyderabad FC         5       20  ...         27             19      29\n",
              "6           Bengaluru FC         7       20  ...         26             28      22\n",
              "10  Odisha Football Club        11       20  ...         25             44      12\n",
              "\n",
              "[7 rows x 9 columns]"
            ]
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          "execution_count": 38
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        "isl_df.loc[isl_df['scoresAgainst'] <= 25]\n"
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              "    <tr>\n",
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              "      <td>2</td>\n",
              "      <td>20</td>\n",
              "      <td>12</td>\n",
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              "      <td>4</td>\n",
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              "      <td>15</td>\n",
              "      <td>40</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Northeast United</td>\n",
              "      <td>3</td>\n",
              "      <td>20</td>\n",
              "      <td>8</td>\n",
              "      <td>3</td>\n",
              "      <td>9</td>\n",
              "      <td>31</td>\n",
              "      <td>25</td>\n",
              "      <td>33</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>FC Goa</td>\n",
              "      <td>4</td>\n",
              "      <td>20</td>\n",
              "      <td>7</td>\n",
              "      <td>3</td>\n",
              "      <td>10</td>\n",
              "      <td>31</td>\n",
              "      <td>23</td>\n",
              "      <td>31</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Hyderabad FC</td>\n",
              "      <td>5</td>\n",
              "      <td>20</td>\n",
              "      <td>6</td>\n",
              "      <td>3</td>\n",
              "      <td>11</td>\n",
              "      <td>27</td>\n",
              "      <td>19</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Jamshedpur</td>\n",
              "      <td>6</td>\n",
              "      <td>20</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>6</td>\n",
              "      <td>21</td>\n",
              "      <td>22</td>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Chennaiyin FC</td>\n",
              "      <td>8</td>\n",
              "      <td>20</td>\n",
              "      <td>3</td>\n",
              "      <td>6</td>\n",
              "      <td>11</td>\n",
              "      <td>17</td>\n",
              "      <td>23</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
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              "            team.name  position  matches  ...  scoresFor  scoresAgainst  points\n",
              "0      Mumbai City FC         1       20  ...         35             18      40\n",
              "1  ATK Mohun Bagan FC         2       20  ...         28             15      40\n",
              "2    Northeast United         3       20  ...         31             25      33\n",
              "3              FC Goa         4       20  ...         31             23      31\n",
              "4        Hyderabad FC         5       20  ...         27             19      29\n",
              "5          Jamshedpur         6       20  ...         21             22      27\n",
              "7       Chennaiyin FC         8       20  ...         17             23      20\n",
              "\n",
              "[7 rows x 9 columns]"
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          "execution_count": 39
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        "isl_df.loc[(isl_df['scoresFor'] >= 25) & (isl_df['scoresAgainst'] <= 25)]\n"
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      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <td>20</td>\n",
              "      <td>6</td>\n",
              "      <td>3</td>\n",
              "      <td>11</td>\n",
              "      <td>27</td>\n",
              "      <td>19</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
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            "text/plain": [
              "            team.name  position  matches  ...  scoresFor  scoresAgainst  points\n",
              "0      Mumbai City FC         1       20  ...         35             18      40\n",
              "1  ATK Mohun Bagan FC         2       20  ...         28             15      40\n",
              "2    Northeast United         3       20  ...         31             25      33\n",
              "3              FC Goa         4       20  ...         31             23      31\n",
              "4        Hyderabad FC         5       20  ...         27             19      29\n",
              "\n",
              "[5 rows x 9 columns]"
            ]
          },
          "metadata": {
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          "execution_count": 40
        }
      ]
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      "source": [
        "(isl_df['scoresFor'] >= 25) & (isl_df['scoresAgainst'] <= 25)"
      ],
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0      True\n",
              "1      True\n",
              "2      True\n",
              "3      True\n",
              "4      True\n",
              "5     False\n",
              "6     False\n",
              "7     False\n",
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              "9     False\n",
              "10    False\n",
              "dtype: bool"
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          "execution_count": 41
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      "source": [
        "isl_df.loc[(isl_df['scoresFor'] >= 25) & (isl_df['scoresAgainst'] <= 25)]\n"
      ],
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "      <td>29</td>\n",
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              "</table>\n",
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              "            team.name  position  matches  ...  scoresFor  scoresAgainst  points\n",
              "0      Mumbai City FC         1       20  ...         35             18      40\n",
              "1  ATK Mohun Bagan FC         2       20  ...         28             15      40\n",
              "2    Northeast United         3       20  ...         31             25      33\n",
              "3              FC Goa         4       20  ...         31             23      31\n",
              "4        Hyderabad FC         5       20  ...         27             19      29\n",
              "\n",
              "[5 rows x 9 columns]"
            ]
          },
          "metadata": {
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          "execution_count": 42
        }
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    {
      "cell_type": "code",
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      "source": [
        "isl_df['Goal Difference'] = isl_df['scoresFor']-isl_df['scoresAgainst']"
      ],
      "execution_count": 44,
      "outputs": []
    },
    {
      "cell_type": "code",
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          "height": 394
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        "isl_df"
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      "execution_count": 45,
      "outputs": [
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          "data": {
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              "      <td>Hyderabad FC</td>\n",
              "      <td>5</td>\n",
              "      <td>20</td>\n",
              "      <td>6</td>\n",
              "      <td>3</td>\n",
              "      <td>11</td>\n",
              "      <td>27</td>\n",
              "      <td>19</td>\n",
              "      <td>29</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Jamshedpur</td>\n",
              "      <td>6</td>\n",
              "      <td>20</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>6</td>\n",
              "      <td>21</td>\n",
              "      <td>22</td>\n",
              "      <td>27</td>\n",
              "      <td>-1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Bengaluru FC</td>\n",
              "      <td>7</td>\n",
              "      <td>20</td>\n",
              "      <td>5</td>\n",
              "      <td>8</td>\n",
              "      <td>7</td>\n",
              "      <td>26</td>\n",
              "      <td>28</td>\n",
              "      <td>22</td>\n",
              "      <td>-2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Chennaiyin FC</td>\n",
              "      <td>8</td>\n",
              "      <td>20</td>\n",
              "      <td>3</td>\n",
              "      <td>6</td>\n",
              "      <td>11</td>\n",
              "      <td>17</td>\n",
              "      <td>23</td>\n",
              "      <td>20</td>\n",
              "      <td>-6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>SC East Bengal</td>\n",
              "      <td>9</td>\n",
              "      <td>20</td>\n",
              "      <td>3</td>\n",
              "      <td>9</td>\n",
              "      <td>8</td>\n",
              "      <td>22</td>\n",
              "      <td>33</td>\n",
              "      <td>17</td>\n",
              "      <td>-11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Kerala Blasters</td>\n",
              "      <td>10</td>\n",
              "      <td>20</td>\n",
              "      <td>3</td>\n",
              "      <td>9</td>\n",
              "      <td>8</td>\n",
              "      <td>23</td>\n",
              "      <td>36</td>\n",
              "      <td>17</td>\n",
              "      <td>-13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Odisha Football Club</td>\n",
              "      <td>11</td>\n",
              "      <td>20</td>\n",
              "      <td>2</td>\n",
              "      <td>12</td>\n",
              "      <td>6</td>\n",
              "      <td>25</td>\n",
              "      <td>44</td>\n",
              "      <td>12</td>\n",
              "      <td>-19</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "               team.name  position  ...  points  Goal Difference\n",
              "0         Mumbai City FC         1  ...      40               17\n",
              "1     ATK Mohun Bagan FC         2  ...      40               13\n",
              "2       Northeast United         3  ...      33                6\n",
              "3                 FC Goa         4  ...      31                8\n",
              "4           Hyderabad FC         5  ...      29                8\n",
              "5             Jamshedpur         6  ...      27               -1\n",
              "6           Bengaluru FC         7  ...      22               -2\n",
              "7          Chennaiyin FC         8  ...      20               -6\n",
              "8         SC East Bengal         9  ...      17              -11\n",
              "9        Kerala Blasters        10  ...      17              -13\n",
              "10  Odisha Football Club        11  ...      12              -19\n",
              "\n",
              "[11 rows x 10 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "STMSJ0gPL73N",
        "outputId": "3cf29c76-1b0f-4e87-9b67-930c715daf37"
      },
      "source": [
        "isl_df['PPM'] = isl_df['points']/isl_df['matches']\n",
        "isl_df"
      ],
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>team.name</th>\n",
              "      <th>position</th>\n",
              "      <th>matches</th>\n",
              "      <th>wins</th>\n",
              "      <th>losses</th>\n",
              "      <th>draws</th>\n",
              "      <th>scoresFor</th>\n",
              "      <th>scoresAgainst</th>\n",
              "      <th>points</th>\n",
              "      <th>Goal Difference</th>\n",
              "      <th>PPM</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Mumbai City FC</td>\n",
              "      <td>1</td>\n",
              "      <td>20</td>\n",
              "      <td>12</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>35</td>\n",
              "      <td>18</td>\n",
              "      <td>40</td>\n",
              "      <td>17</td>\n",
              "      <td>2.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ATK Mohun Bagan FC</td>\n",
              "      <td>2</td>\n",
              "      <td>20</td>\n",
              "      <td>12</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>28</td>\n",
              "      <td>15</td>\n",
              "      <td>40</td>\n",
              "      <td>13</td>\n",
              "      <td>2.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Northeast United</td>\n",
              "      <td>3</td>\n",
              "      <td>20</td>\n",
              "      <td>8</td>\n",
              "      <td>3</td>\n",
              "      <td>9</td>\n",
              "      <td>31</td>\n",
              "      <td>25</td>\n",
              "      <td>33</td>\n",
              "      <td>6</td>\n",
              "      <td>1.65</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>FC Goa</td>\n",
              "      <td>4</td>\n",
              "      <td>20</td>\n",
              "      <td>7</td>\n",
              "      <td>3</td>\n",
              "      <td>10</td>\n",
              "      <td>31</td>\n",
              "      <td>23</td>\n",
              "      <td>31</td>\n",
              "      <td>8</td>\n",
              "      <td>1.55</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Hyderabad FC</td>\n",
              "      <td>5</td>\n",
              "      <td>20</td>\n",
              "      <td>6</td>\n",
              "      <td>3</td>\n",
              "      <td>11</td>\n",
              "      <td>27</td>\n",
              "      <td>19</td>\n",
              "      <td>29</td>\n",
              "      <td>8</td>\n",
              "      <td>1.45</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Jamshedpur</td>\n",
              "      <td>6</td>\n",
              "      <td>20</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>6</td>\n",
              "      <td>21</td>\n",
              "      <td>22</td>\n",
              "      <td>27</td>\n",
              "      <td>-1</td>\n",
              "      <td>1.35</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Bengaluru FC</td>\n",
              "      <td>7</td>\n",
              "      <td>20</td>\n",
              "      <td>5</td>\n",
              "      <td>8</td>\n",
              "      <td>7</td>\n",
              "      <td>26</td>\n",
              "      <td>28</td>\n",
              "      <td>22</td>\n",
              "      <td>-2</td>\n",
              "      <td>1.10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Chennaiyin FC</td>\n",
              "      <td>8</td>\n",
              "      <td>20</td>\n",
              "      <td>3</td>\n",
              "      <td>6</td>\n",
              "      <td>11</td>\n",
              "      <td>17</td>\n",
              "      <td>23</td>\n",
              "      <td>20</td>\n",
              "      <td>-6</td>\n",
              "      <td>1.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>SC East Bengal</td>\n",
              "      <td>9</td>\n",
              "      <td>20</td>\n",
              "      <td>3</td>\n",
              "      <td>9</td>\n",
              "      <td>8</td>\n",
              "      <td>22</td>\n",
              "      <td>33</td>\n",
              "      <td>17</td>\n",
              "      <td>-11</td>\n",
              "      <td>0.85</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Kerala Blasters</td>\n",
              "      <td>10</td>\n",
              "      <td>20</td>\n",
              "      <td>3</td>\n",
              "      <td>9</td>\n",
              "      <td>8</td>\n",
              "      <td>23</td>\n",
              "      <td>36</td>\n",
              "      <td>17</td>\n",
              "      <td>-13</td>\n",
              "      <td>0.85</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Odisha Football Club</td>\n",
              "      <td>11</td>\n",
              "      <td>20</td>\n",
              "      <td>2</td>\n",
              "      <td>12</td>\n",
              "      <td>6</td>\n",
              "      <td>25</td>\n",
              "      <td>44</td>\n",
              "      <td>12</td>\n",
              "      <td>-19</td>\n",
              "      <td>0.60</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "               team.name  position  matches  ...  points  Goal Difference   PPM\n",
              "0         Mumbai City FC         1       20  ...      40               17  2.00\n",
              "1     ATK Mohun Bagan FC         2       20  ...      40               13  2.00\n",
              "2       Northeast United         3       20  ...      33                6  1.65\n",
              "3                 FC Goa         4       20  ...      31                8  1.55\n",
              "4           Hyderabad FC         5       20  ...      29                8  1.45\n",
              "5             Jamshedpur         6       20  ...      27               -1  1.35\n",
              "6           Bengaluru FC         7       20  ...      22               -2  1.10\n",
              "7          Chennaiyin FC         8       20  ...      20               -6  1.00\n",
              "8         SC East Bengal         9       20  ...      17              -11  0.85\n",
              "9        Kerala Blasters        10       20  ...      17              -13  0.85\n",
              "10  Odisha Football Club        11       20  ...      12              -19  0.60\n",
              "\n",
              "[11 rows x 11 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 422
        },
        "id": "wvqWCogoMTKc",
        "outputId": "6df1b130-ffbf-471c-bea9-7d10db1ba764"
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "plt.figure(figsize = [36, 12])\n",
        "plt.bar(isl_df['team.name'],isl_df['points'])"
      ],
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<BarContainer object of 11 artists>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 54
        },
        {
          "output_type": "display_data",
          "data": {
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\n",
            "text/plain": [
              "<Figure size 2592x864 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "d5KXcyM5e1WB",
        "outputId": "241adaae-8261-43de-a208-0bf1412d64d2"
      },
      "source": [
        "isl_df['scoresFor'].sum()"
      ],
      "execution_count": 83,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "286"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 83
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 243
        },
        "id": "gdMbwLVYdMeO",
        "outputId": "54bbff3a-5853-439d-f78b-3218c346a4cc"
      },
      "source": [
        "import math\n",
        "color = []\n",
        "plt.figure(figsize = [36, 12])\n",
        "color = (isl_df['scoresFor']-isl_df['scoresFor'].min())/(isl_df['scoresFor'].max()-isl_df['scoresFor'].min())\n",
        "isl_df.sort_values(by = 'scoresFor', axis=0, ascending=False, inplace=True)\n",
        "color.sort_values(ascending=False)\n"
      ],
      "execution_count": 137,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0     1.000000\n",
              "3     0.777778\n",
              "2     0.777778\n",
              "1     0.611111\n",
              "4     0.555556\n",
              "6     0.500000\n",
              "10    0.444444\n",
              "9     0.333333\n",
              "8     0.277778\n",
              "5     0.222222\n",
              "7     0.000000\n",
              "Name: scoresFor, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 137
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2592x864 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "ly_5nWtfbEWW",
        "outputId": "5f3f103e-381b-4689-a60d-f8e6a9759006"
      },
      "source": [
        "isl_df"
      ],
      "execution_count": 138,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>team.name</th>\n",
              "      <th>position</th>\n",
              "      <th>matches</th>\n",
              "      <th>wins</th>\n",
              "      <th>losses</th>\n",
              "      <th>draws</th>\n",
              "      <th>scoresFor</th>\n",
              "      <th>scoresAgainst</th>\n",
              "      <th>points</th>\n",
              "      <th>Goal Difference</th>\n",
              "      <th>PPM</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Mumbai City FC</td>\n",
              "      <td>1</td>\n",
              "      <td>20</td>\n",
              "      <td>12</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>35</td>\n",
              "      <td>18</td>\n",
              "      <td>40</td>\n",
              "      <td>17</td>\n",
              "      <td>2.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Northeast United</td>\n",
              "      <td>3</td>\n",
              "      <td>20</td>\n",
              "      <td>8</td>\n",
              "      <td>3</td>\n",
              "      <td>9</td>\n",
              "      <td>31</td>\n",
              "      <td>25</td>\n",
              "      <td>33</td>\n",
              "      <td>6</td>\n",
              "      <td>1.65</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>FC Goa</td>\n",
              "      <td>4</td>\n",
              "      <td>20</td>\n",
              "      <td>7</td>\n",
              "      <td>3</td>\n",
              "      <td>10</td>\n",
              "      <td>31</td>\n",
              "      <td>23</td>\n",
              "      <td>31</td>\n",
              "      <td>8</td>\n",
              "      <td>1.55</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ATK Mohun Bagan FC</td>\n",
              "      <td>2</td>\n",
              "      <td>20</td>\n",
              "      <td>12</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>28</td>\n",
              "      <td>15</td>\n",
              "      <td>40</td>\n",
              "      <td>13</td>\n",
              "      <td>2.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Hyderabad FC</td>\n",
              "      <td>5</td>\n",
              "      <td>20</td>\n",
              "      <td>6</td>\n",
              "      <td>3</td>\n",
              "      <td>11</td>\n",
              "      <td>27</td>\n",
              "      <td>19</td>\n",
              "      <td>29</td>\n",
              "      <td>8</td>\n",
              "      <td>1.45</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Bengaluru FC</td>\n",
              "      <td>7</td>\n",
              "      <td>20</td>\n",
              "      <td>5</td>\n",
              "      <td>8</td>\n",
              "      <td>7</td>\n",
              "      <td>26</td>\n",
              "      <td>28</td>\n",
              "      <td>22</td>\n",
              "      <td>-2</td>\n",
              "      <td>1.10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Odisha Football Club</td>\n",
              "      <td>11</td>\n",
              "      <td>20</td>\n",
              "      <td>2</td>\n",
              "      <td>12</td>\n",
              "      <td>6</td>\n",
              "      <td>25</td>\n",
              "      <td>44</td>\n",
              "      <td>12</td>\n",
              "      <td>-19</td>\n",
              "      <td>0.60</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Kerala Blasters</td>\n",
              "      <td>10</td>\n",
              "      <td>20</td>\n",
              "      <td>3</td>\n",
              "      <td>9</td>\n",
              "      <td>8</td>\n",
              "      <td>23</td>\n",
              "      <td>36</td>\n",
              "      <td>17</td>\n",
              "      <td>-13</td>\n",
              "      <td>0.85</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>SC East Bengal</td>\n",
              "      <td>9</td>\n",
              "      <td>20</td>\n",
              "      <td>3</td>\n",
              "      <td>9</td>\n",
              "      <td>8</td>\n",
              "      <td>22</td>\n",
              "      <td>33</td>\n",
              "      <td>17</td>\n",
              "      <td>-11</td>\n",
              "      <td>0.85</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Jamshedpur</td>\n",
              "      <td>6</td>\n",
              "      <td>20</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>6</td>\n",
              "      <td>21</td>\n",
              "      <td>22</td>\n",
              "      <td>27</td>\n",
              "      <td>-1</td>\n",
              "      <td>1.35</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Chennaiyin FC</td>\n",
              "      <td>8</td>\n",
              "      <td>20</td>\n",
              "      <td>3</td>\n",
              "      <td>6</td>\n",
              "      <td>11</td>\n",
              "      <td>17</td>\n",
              "      <td>23</td>\n",
              "      <td>20</td>\n",
              "      <td>-6</td>\n",
              "      <td>1.00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "               team.name  position  matches  ...  points  Goal Difference   PPM\n",
              "0         Mumbai City FC         1       20  ...      40               17  2.00\n",
              "2       Northeast United         3       20  ...      33                6  1.65\n",
              "3                 FC Goa         4       20  ...      31                8  1.55\n",
              "1     ATK Mohun Bagan FC         2       20  ...      40               13  2.00\n",
              "4           Hyderabad FC         5       20  ...      29                8  1.45\n",
              "6           Bengaluru FC         7       20  ...      22               -2  1.10\n",
              "10  Odisha Football Club        11       20  ...      12              -19  0.60\n",
              "9        Kerala Blasters        10       20  ...      17              -13  0.85\n",
              "8         SC East Bengal         9       20  ...      17              -11  0.85\n",
              "5             Jamshedpur         6       20  ...      27               -1  1.35\n",
              "7          Chennaiyin FC         8       20  ...      20               -6  1.00\n",
              "\n",
              "[11 rows x 11 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 138
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6hE_n5NtDEMY"
      },
      "source": [
        "import matplotlib.cm as cm\n"
      ],
      "execution_count": 139,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 422
        },
        "id": "oWbIk6JvdlPM",
        "outputId": "2bb6385d-ce0e-4e27-b1e8-0d850b5d0524"
      },
      "source": [
        "my_cmap = cm.get_cmap('inferno')\n",
        "plt.figure(figsize = [36, 12])\n",
        "plt.bar(isl_df['team.name'],isl_df['scoresFor'],color = my_cmap(color))\n",
        "\n"
      ],
      "execution_count": 140,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<BarContainer object of 11 artists>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 140
        },
        {
          "output_type": "display_data",
          "data": {
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            "text/plain": [
              "<Figure size 2592x864 with 1 Axes>"
            ]
          },
          "metadata": {
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}