simpsons_analysis.ipynb

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      "name": "simpsons_analysis.ipynb",
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      "name": "python3",
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TkYj8t9r6sdJ"
      },
      "source": [
        "### **Test Data**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UEVlUCHCcjbs"
      },
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nbbz_XqjgyZX"
      },
      "source": [
        "test_df=pd.read_csv('test.csv')"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ub2pgV2ShDEf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 195
        },
        "outputId": "068f5909-4ac3-46ef-9f37-76d5de619973"
      },
      "source": [
        "test_df.head()"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>imdb_votes</th>\n",
              "      <th>number_in_season</th>\n",
              "      <th>number_in_series</th>\n",
              "      <th>original_air_date</th>\n",
              "      <th>season</th>\n",
              "      <th>title</th>\n",
              "      <th>us_viewers_in_millions</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>207</td>\n",
              "      <td>1013.0</td>\n",
              "      <td>4</td>\n",
              "      <td>207</td>\n",
              "      <td>1998-10-25</td>\n",
              "      <td>10</td>\n",
              "      <td>Treehouse of Horror IX</td>\n",
              "      <td>8.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>273</td>\n",
              "      <td>651.0</td>\n",
              "      <td>4</td>\n",
              "      <td>273</td>\n",
              "      <td>2001-12-02</td>\n",
              "      <td>13</td>\n",
              "      <td>A Hunka Hunka Burns in Love</td>\n",
              "      <td>13.4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>36</td>\n",
              "      <td>1798.0</td>\n",
              "      <td>1</td>\n",
              "      <td>36</td>\n",
              "      <td>1991-09-19</td>\n",
              "      <td>3</td>\n",
              "      <td>Stark Raving Dad</td>\n",
              "      <td>22.9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>252</td>\n",
              "      <td>731.0</td>\n",
              "      <td>4</td>\n",
              "      <td>252</td>\n",
              "      <td>2000-11-19</td>\n",
              "      <td>12</td>\n",
              "      <td>Lisa the Tree Hugger</td>\n",
              "      <td>14.9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>327</td>\n",
              "      <td>568.0</td>\n",
              "      <td>14</td>\n",
              "      <td>327</td>\n",
              "      <td>2004-03-14</td>\n",
              "      <td>15</td>\n",
              "      <td>The Ziff Who Came to Dinner</td>\n",
              "      <td>10.7</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    id  imdb_votes  ...                        title  us_viewers_in_millions\n",
              "0  207      1013.0  ...       Treehouse of Horror IX                     8.5\n",
              "1  273       651.0  ...  A Hunka Hunka Burns in Love                    13.4\n",
              "2   36      1798.0  ...             Stark Raving Dad                    22.9\n",
              "3  252       731.0  ...         Lisa the Tree Hugger                    14.9\n",
              "4  327       568.0  ...  The Ziff Who Came to Dinner                    10.7\n",
              "\n",
              "[5 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yBb64N5shWsa",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "30f3fd8d-8d13-4e96-c30e-747920538d97"
      },
      "source": [
        "test_df.info()"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 239 entries, 0 to 238\n",
            "Data columns (total 8 columns):\n",
            " #   Column                  Non-Null Count  Dtype  \n",
            "---  ------                  --------------  -----  \n",
            " 0   id                      239 non-null    int64  \n",
            " 1   imdb_votes              239 non-null    float64\n",
            " 2   number_in_season        239 non-null    int64  \n",
            " 3   number_in_series        239 non-null    int64  \n",
            " 4   original_air_date       239 non-null    object \n",
            " 5   season                  239 non-null    int64  \n",
            " 6   title                   239 non-null    object \n",
            " 7   us_viewers_in_millions  239 non-null    float64\n",
            "dtypes: float64(2), int64(4), object(2)\n",
            "memory usage: 15.1+ KB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FEPh3h_hxeTK",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 284
        },
        "outputId": "31601df2-ce7b-489c-c5b1-3ceede579cd1"
      },
      "source": [
        "test_df.describe()"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>imdb_votes</th>\n",
              "      <th>number_in_season</th>\n",
              "      <th>number_in_series</th>\n",
              "      <th>season</th>\n",
              "      <th>us_viewers_in_millions</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>239.000000</td>\n",
              "      <td>239.000000</td>\n",
              "      <td>239.000000</td>\n",
              "      <td>239.000000</td>\n",
              "      <td>239.000000</td>\n",
              "      <td>239.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>307.058577</td>\n",
              "      <td>823.753138</td>\n",
              "      <td>11.820084</td>\n",
              "      <td>307.058577</td>\n",
              "      <td>14.389121</td>\n",
              "      <td>11.731130</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>172.584009</td>\n",
              "      <td>392.398905</td>\n",
              "      <td>6.742336</td>\n",
              "      <td>172.584009</td>\n",
              "      <td>7.713573</td>\n",
              "      <td>6.448615</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>8.000000</td>\n",
              "      <td>227.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>2.320000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>158.000000</td>\n",
              "      <td>554.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>158.000000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>6.725000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>314.000000</td>\n",
              "      <td>672.000000</td>\n",
              "      <td>12.000000</td>\n",
              "      <td>314.000000</td>\n",
              "      <td>15.000000</td>\n",
              "      <td>10.390000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>462.000000</td>\n",
              "      <td>1086.500000</td>\n",
              "      <td>17.000000</td>\n",
              "      <td>462.000000</td>\n",
              "      <td>21.000000</td>\n",
              "      <td>15.200000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>595.000000</td>\n",
              "      <td>2439.000000</td>\n",
              "      <td>25.000000</td>\n",
              "      <td>595.000000</td>\n",
              "      <td>27.000000</td>\n",
              "      <td>33.600000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "               id   imdb_votes  ...      season  us_viewers_in_millions\n",
              "count  239.000000   239.000000  ...  239.000000              239.000000\n",
              "mean   307.058577   823.753138  ...   14.389121               11.731130\n",
              "std    172.584009   392.398905  ...    7.713573                6.448615\n",
              "min      8.000000   227.000000  ...    1.000000                2.320000\n",
              "25%    158.000000   554.000000  ...    8.000000                6.725000\n",
              "50%    314.000000   672.000000  ...   15.000000               10.390000\n",
              "75%    462.000000  1086.500000  ...   21.000000               15.200000\n",
              "max    595.000000  2439.000000  ...   27.000000               33.600000\n",
              "\n",
              "[8 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JO6ftTn-7m-M"
      },
      "source": [
        "**Total number of seasons in test dataset = 27**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6pMVVvAUhy92",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f88e9ce1-9fda-45a9-e35f-2f146faa8c9b"
      },
      "source": [
        "# total number of seasons\n",
        "test_df['season'].unique()"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([10, 13,  3, 12, 15, 25,  5, 21,  2, 27,  4, 20,  6, 14, 18, 16, 22,\n",
              "       23,  7, 19,  9, 17, 11, 26,  8, 24,  1])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CTU81yEwEhvX",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 402
        },
        "outputId": "4461e575-8ea8-47b1-d445-f96063804024"
      },
      "source": [
        "t_temp=pd.DataFrame()\n",
        "t_temp['number_in_season']=test_df['number_in_season']\n",
        "t_temp['season']=test_df['season']\n",
        "t_temp"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>number_in_season</th>\n",
              "      <th>season</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>4</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>4</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>14</td>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>234</th>\n",
              "      <td>9</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>235</th>\n",
              "      <td>11</td>\n",
              "      <td>24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>236</th>\n",
              "      <td>20</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>237</th>\n",
              "      <td>2</td>\n",
              "      <td>19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>238</th>\n",
              "      <td>2</td>\n",
              "      <td>26</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>239 rows × 2 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "     number_in_season  season\n",
              "0                   4      10\n",
              "1                   4      13\n",
              "2                   1       3\n",
              "3                   4      12\n",
              "4                  14      15\n",
              "..                ...     ...\n",
              "234                 9      10\n",
              "235                11      24\n",
              "236                20       3\n",
              "237                 2      19\n",
              "238                 2      26\n",
              "\n",
              "[239 rows x 2 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "O31bQRDbRgtr",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 195
        },
        "outputId": "f66d56ed-4c7e-445b-ccac-906689dc1fb4"
      },
      "source": [
        "train_df=pd.read_csv(\"train.csv\")\n",
        "train_df.head()"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>imdb_votes</th>\n",
              "      <th>number_in_season</th>\n",
              "      <th>number_in_series</th>\n",
              "      <th>original_air_date</th>\n",
              "      <th>season</th>\n",
              "      <th>title</th>\n",
              "      <th>us_viewers_in_millions</th>\n",
              "      <th>imdb_score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>418</td>\n",
              "      <td>585.0</td>\n",
              "      <td>18</td>\n",
              "      <td>418</td>\n",
              "      <td>2008-05-04</td>\n",
              "      <td>19</td>\n",
              "      <td>Any Given Sundance</td>\n",
              "      <td>6.18</td>\n",
              "      <td>7.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>156</td>\n",
              "      <td>1085.0</td>\n",
              "      <td>3</td>\n",
              "      <td>156</td>\n",
              "      <td>1996-11-10</td>\n",
              "      <td>8</td>\n",
              "      <td>The Homer They Fall</td>\n",
              "      <td>17.00</td>\n",
              "      <td>8.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>210</td>\n",
              "      <td>909.0</td>\n",
              "      <td>7</td>\n",
              "      <td>210</td>\n",
              "      <td>1998-11-22</td>\n",
              "      <td>10</td>\n",
              "      <td>Lisa Gets an \"A\"</td>\n",
              "      <td>8.00</td>\n",
              "      <td>8.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>249</td>\n",
              "      <td>829.0</td>\n",
              "      <td>1</td>\n",
              "      <td>249</td>\n",
              "      <td>2000-11-01</td>\n",
              "      <td>12</td>\n",
              "      <td>Treehouse of Horror XI</td>\n",
              "      <td>13.20</td>\n",
              "      <td>7.6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>65</td>\n",
              "      <td>1293.0</td>\n",
              "      <td>6</td>\n",
              "      <td>65</td>\n",
              "      <td>1992-11-03</td>\n",
              "      <td>4</td>\n",
              "      <td>Itchy &amp; Scratchy: The Movie</td>\n",
              "      <td>20.10</td>\n",
              "      <td>8.2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    id  imdb_votes  ...  us_viewers_in_millions  imdb_score\n",
              "0  418       585.0  ...                    6.18         7.0\n",
              "1  156      1085.0  ...                   17.00         8.0\n",
              "2  210       909.0  ...                    8.00         8.0\n",
              "3  249       829.0  ...                   13.20         7.6\n",
              "4   65      1293.0  ...                   20.10         8.2\n",
              "\n",
              "[5 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fmlU5THARpXo",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "43eea4ce-b6df-49af-8eb7-508d816af6bf"
      },
      "source": [
        "train_df.info()"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 358 entries, 0 to 357\n",
            "Data columns (total 9 columns):\n",
            " #   Column                  Non-Null Count  Dtype  \n",
            "---  ------                  --------------  -----  \n",
            " 0   id                      358 non-null    int64  \n",
            " 1   imdb_votes              358 non-null    float64\n",
            " 2   number_in_season        358 non-null    int64  \n",
            " 3   number_in_series        358 non-null    int64  \n",
            " 4   original_air_date       358 non-null    object \n",
            " 5   season                  358 non-null    int64  \n",
            " 6   title                   358 non-null    object \n",
            " 7   us_viewers_in_millions  355 non-null    float64\n",
            " 8   imdb_score              358 non-null    float64\n",
            "dtypes: float64(3), int64(4), object(2)\n",
            "memory usage: 25.3+ KB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DGCr95vxGG_u",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 402
        },
        "outputId": "2520e0dd-ebcf-46d3-c69f-1ce4c27fe99f"
      },
      "source": [
        "t=t_temp.groupby('number_in_season', sort=True)\n",
        "t.head()"
      ],
      "execution_count": 10,
      "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>number_in_season</th>\n",
              "      <th>season</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>4</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>4</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>14</td>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>167</th>\n",
              "      <td>23</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>181</th>\n",
              "      <td>5</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>197</th>\n",
              "      <td>25</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>204</th>\n",
              "      <td>24</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>231</th>\n",
              "      <td>23</td>\n",
              "      <td>21</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>120 rows × 2 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "     number_in_season  season\n",
              "0                   4      10\n",
              "1                   4      13\n",
              "2                   1       3\n",
              "3                   4      12\n",
              "4                  14      15\n",
              "..                ...     ...\n",
              "167                23       8\n",
              "181                 5       3\n",
              "197                25       8\n",
              "204                24       3\n",
              "231                23      21\n",
              "\n",
              "[120 rows x 2 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Z89a6glbnR26",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 402
        },
        "outputId": "c466383c-5601-4ef7-86fd-8917b22788a5"
      },
      "source": [
        "#average no. of episodes per season\n",
        "t1=test_df.groupby('season',sort=True)\n",
        "t1.head()"
      ],
      "execution_count": 11,
      "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>id</th>\n",
              "      <th>imdb_votes</th>\n",
              "      <th>number_in_season</th>\n",
              "      <th>number_in_series</th>\n",
              "      <th>original_air_date</th>\n",
              "      <th>season</th>\n",
              "      <th>title</th>\n",
              "      <th>us_viewers_in_millions</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>207</td>\n",
              "      <td>1013.0</td>\n",
              "      <td>4</td>\n",
              "      <td>207</td>\n",
              "      <td>1998-10-25</td>\n",
              "      <td>10</td>\n",
              "      <td>Treehouse of Horror IX</td>\n",
              "      <td>8.50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>273</td>\n",
              "      <td>651.0</td>\n",
              "      <td>4</td>\n",
              "      <td>273</td>\n",
              "      <td>2001-12-02</td>\n",
              "      <td>13</td>\n",
              "      <td>A Hunka Hunka Burns in Love</td>\n",
              "      <td>13.40</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>36</td>\n",
              "      <td>1798.0</td>\n",
              "      <td>1</td>\n",
              "      <td>36</td>\n",
              "      <td>1991-09-19</td>\n",
              "      <td>3</td>\n",
              "      <td>Stark Raving Dad</td>\n",
              "      <td>22.90</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>252</td>\n",
              "      <td>731.0</td>\n",
              "      <td>4</td>\n",
              "      <td>252</td>\n",
              "      <td>2000-11-19</td>\n",
              "      <td>12</td>\n",
              "      <td>Lisa the Tree Hugger</td>\n",
              "      <td>14.90</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>327</td>\n",
              "      <td>568.0</td>\n",
              "      <td>14</td>\n",
              "      <td>327</td>\n",
              "      <td>2004-03-14</td>\n",
              "      <td>15</td>\n",
              "      <td>The Ziff Who Came to Dinner</td>\n",
              "      <td>10.70</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>166</th>\n",
              "      <td>492</td>\n",
              "      <td>712.0</td>\n",
              "      <td>6</td>\n",
              "      <td>492</td>\n",
              "      <td>2011-11-20</td>\n",
              "      <td>23</td>\n",
              "      <td>The Book Job</td>\n",
              "      <td>5.77</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>168</th>\n",
              "      <td>367</td>\n",
              "      <td>535.0</td>\n",
              "      <td>11</td>\n",
              "      <td>367</td>\n",
              "      <td>2006-01-29</td>\n",
              "      <td>17</td>\n",
              "      <td>We're on the Road to D'ohwhere</td>\n",
              "      <td>9.04</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>171</th>\n",
              "      <td>517</td>\n",
              "      <td>411.0</td>\n",
              "      <td>9</td>\n",
              "      <td>517</td>\n",
              "      <td>2013-01-06</td>\n",
              "      <td>24</td>\n",
              "      <td>Homer Goes to Prep School</td>\n",
              "      <td>8.97</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>176</th>\n",
              "      <td>529</td>\n",
              "      <td>460.0</td>\n",
              "      <td>21</td>\n",
              "      <td>529</td>\n",
              "      <td>2013-05-19</td>\n",
              "      <td>24</td>\n",
              "      <td>The Saga of Carl</td>\n",
              "      <td>4.01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>220</th>\n",
              "      <td>446</td>\n",
              "      <td>560.0</td>\n",
              "      <td>5</td>\n",
              "      <td>446</td>\n",
              "      <td>2009-11-15</td>\n",
              "      <td>21</td>\n",
              "      <td>The Devil Wears Nada</td>\n",
              "      <td>9.04</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>129 rows × 8 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "      id  imdb_votes  ...                           title  us_viewers_in_millions\n",
              "0    207      1013.0  ...          Treehouse of Horror IX                    8.50\n",
              "1    273       651.0  ...     A Hunka Hunka Burns in Love                   13.40\n",
              "2     36      1798.0  ...                Stark Raving Dad                   22.90\n",
              "3    252       731.0  ...            Lisa the Tree Hugger                   14.90\n",
              "4    327       568.0  ...     The Ziff Who Came to Dinner                   10.70\n",
              "..   ...         ...  ...                             ...                     ...\n",
              "166  492       712.0  ...                    The Book Job                    5.77\n",
              "168  367       535.0  ...  We're on the Road to D'ohwhere                    9.04\n",
              "171  517       411.0  ...       Homer Goes to Prep School                    8.97\n",
              "176  529       460.0  ...                The Saga of Carl                    4.01\n",
              "220  446       560.0  ...            The Devil Wears Nada                    9.04\n",
              "\n",
              "[129 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EDP0JyLU7_1c"
      },
      "source": [
        "**Grouped the test data according to the seasons and extracted their respective imdb votes per season**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "y5BbHnUWnWg8"
      },
      "source": [
        "t2=pd.DataFrame()\n",
        "t2=test_df['imdb_votes'].groupby(test_df['season'])"
      ],
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xr7vtK3I8PaZ"
      },
      "source": [
        "### **Total number of votes for all episodes in respective seasons in the test data**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VvugOp_K43I8",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "0d111e0b-4225-4169-cc54-ca757e16eb26"
      },
      "source": [
        "# tt2=pd.DataFrame()\n",
        "tt2=t2.sum()\n",
        "tt2"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "season\n",
              "1      3296.0\n",
              "2     14859.0\n",
              "3     14512.0\n",
              "4      9390.0\n",
              "5     10777.0\n",
              "6     15419.0\n",
              "7      8273.0\n",
              "8     13717.0\n",
              "9      8830.0\n",
              "10    11625.0\n",
              "11     1696.0\n",
              "12     5379.0\n",
              "13     9937.0\n",
              "14     3794.0\n",
              "15     7149.0\n",
              "16     5971.0\n",
              "17     3339.0\n",
              "18     6363.0\n",
              "19     5590.0\n",
              "20     6241.0\n",
              "21     3766.0\n",
              "22     6701.0\n",
              "23     4556.0\n",
              "24     2985.0\n",
              "25     4090.0\n",
              "26     5067.0\n",
              "27     3555.0\n",
              "Name: imdb_votes, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 876
        },
        "id": "HDK1rB9gTDym",
        "outputId": "da2dab76-f556-4c3e-dc79-68538ac805af"
      },
      "source": [
        "tt2=pd.DataFrame(tt2)\n",
        "tt2"
      ],
      "execution_count": 14,
      "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>imdb_votes</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>season</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>3296.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>14859.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>14512.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>9390.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>10777.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>15419.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>8273.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>13717.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>8830.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>11625.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>1696.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>5379.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>9937.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>3794.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>7149.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>5971.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>3339.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>6363.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>5590.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>6241.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>3766.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>6701.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>4556.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>2985.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>4090.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>5067.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>3555.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        imdb_votes\n",
              "season            \n",
              "1           3296.0\n",
              "2          14859.0\n",
              "3          14512.0\n",
              "4           9390.0\n",
              "5          10777.0\n",
              "6          15419.0\n",
              "7           8273.0\n",
              "8          13717.0\n",
              "9           8830.0\n",
              "10         11625.0\n",
              "11          1696.0\n",
              "12          5379.0\n",
              "13          9937.0\n",
              "14          3794.0\n",
              "15          7149.0\n",
              "16          5971.0\n",
              "17          3339.0\n",
              "18          6363.0\n",
              "19          5590.0\n",
              "20          6241.0\n",
              "21          3766.0\n",
              "22          6701.0\n",
              "23          4556.0\n",
              "24          2985.0\n",
              "25          4090.0\n",
              "26          5067.0\n",
              "27          3555.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 281
        },
        "id": "3TrbykCRTTkZ",
        "outputId": "3b42ea1e-7255-4ac1-e19c-ab20a46ef2f2"
      },
      "source": [
        "plt.bar(tt2.index,tt2['imdb_votes'])\n",
        "plt.xlabel('Seasons')\n",
        "plt.ylabel('Max imdb votes per season')\n",
        "plt.show()\n"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Nu04TEgD8hlD"
      },
      "source": [
        " **The above bar plot shows the total imdb votes per season. We can see, season 6 received the maximum imdb votes out of all 27 seasons**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "b-pXnodOOZf9",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c9640bcc-83e0-431e-af09-83dfa712468a"
      },
      "source": [
        "test_df[\"season\"]"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0      10\n",
              "1      13\n",
              "2       3\n",
              "3      12\n",
              "4      15\n",
              "       ..\n",
              "234    10\n",
              "235    24\n",
              "236     3\n",
              "237    19\n",
              "238    26\n",
              "Name: season, Length: 239, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1MOUHfoSKa4u",
        "outputId": "e491c2e9-ef99-4603-8fbb-7bde724d6085"
      },
      "source": [
        "test_df[\"season\"].value_counts()"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "13    15\n",
              "10    13\n",
              "22    13\n",
              "6     12\n",
              "26    12\n",
              "15    12\n",
              "3     11\n",
              "27    10\n",
              "2     10\n",
              "8     10\n",
              "16    10\n",
              "20    10\n",
              "18     9\n",
              "5      9\n",
              "19     8\n",
              "23     8\n",
              "9      8\n",
              "25     8\n",
              "4      7\n",
              "12     7\n",
              "21     7\n",
              "24     7\n",
              "7      7\n",
              "14     6\n",
              "17     6\n",
              "11     2\n",
              "1      2\n",
              "Name: season, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vLiBTw4aKjwA",
        "outputId": "a6059af1-e706-4856-99c8-db825adca065"
      },
      "source": [
        "#total episodes per season in this test dataset\n",
        "test_df[\"season\"].value_counts().sort_index()"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1      2\n",
              "2     10\n",
              "3     11\n",
              "4      7\n",
              "5      9\n",
              "6     12\n",
              "7      7\n",
              "8     10\n",
              "9      8\n",
              "10    13\n",
              "11     2\n",
              "12     7\n",
              "13    15\n",
              "14     6\n",
              "15    12\n",
              "16    10\n",
              "17     6\n",
              "18     9\n",
              "19     8\n",
              "20    10\n",
              "21     7\n",
              "22    13\n",
              "23     8\n",
              "24     7\n",
              "25     8\n",
              "26    12\n",
              "27    10\n",
              "Name: season, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        },
        "id": "98usHDqFK-OU",
        "outputId": "1410a9e6-b383-4602-d193-b10fa4deb187"
      },
      "source": [
        "#count of episodes per season in the dataset\n",
        "sns.countplot(x=\"season\",data=test_df)"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fb1fa318278>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KEb2F0iK9ZS5"
      },
      "source": [
        " **The above countplot shows the number of episodes per season in the test data and Season 13 had the maximum number of episodes and season 1 had the lowest about 2 episodes, similar to season 11**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "W3fD2xY3-HPy"
      },
      "source": [
        "**A histogram for the total imdb votes in all 27 seasons**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "asnWUN0vLM_M",
        "outputId": "9103421a-bf33-42bf-fb63-aa3344f79f57"
      },
      "source": [
        "test_df[\"imdb_votes\"].hist(bins=20)\n",
        "plt.show()"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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9jcw8Uj0fB55g4WPRsdOnWKrn49Xiq+k2C932oPjeZOaxzPwgM/8X+CsW9hVYJT2JiPNYCLCvZ+bj1eRVvZ+crSfLsZ8Y7C1ExIURcdHpYeBm4GUWbp1w+tv6rcDuangP8GvVN/43ACcXfQwtTbc9+BZwc0SsrT563lxNK8YZ36f8Kgv7Ciz05M6I+HBEXA5cCXyHgm7LEREBPAQczMyvLJq1aveTpXqyLPvJsL85HuUHC99Cv1g9XgG+XE3/KLAPeB34R2BdNT1Y+OMjbwAHgMaw38OA+vANFj4y/g8L5/e29dID4DdY+ELoEPDrw35fNfTk76r3/FL1H96GRct/uerJa8BnF02/lYWrJd44vX+txAfwKRZOs7wEvFA9bl3N+0mLntS+n3hLAUkqjKdiJKkwBrskFcZgl6TCGOySVBiDXZIKY7BLUmEMdkkqzP8Bf1qGKxWDbnwAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XRAljA5_-Mne"
      },
      "source": [
        "### **Similar analysis for train dataset**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nKQoVOg1POfF"
      },
      "source": [
        "train_df=pd.read_csv('train.csv')"
      ],
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qf7phgx27oaR",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 195
        },
        "outputId": "d68b412d-ad16-4e25-8735-cc8d3eb17286"
      },
      "source": [
        "train_df.head()"
      ],
      "execution_count": 22,
      "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>id</th>\n",
              "      <th>imdb_votes</th>\n",
              "      <th>number_in_season</th>\n",
              "      <th>number_in_series</th>\n",
              "      <th>original_air_date</th>\n",
              "      <th>season</th>\n",
              "      <th>title</th>\n",
              "      <th>us_viewers_in_millions</th>\n",
              "      <th>imdb_score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>418</td>\n",
              "      <td>585.0</td>\n",
              "      <td>18</td>\n",
              "      <td>418</td>\n",
              "      <td>2008-05-04</td>\n",
              "      <td>19</td>\n",
              "      <td>Any Given Sundance</td>\n",
              "      <td>6.18</td>\n",
              "      <td>7.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>156</td>\n",
              "      <td>1085.0</td>\n",
              "      <td>3</td>\n",
              "      <td>156</td>\n",
              "      <td>1996-11-10</td>\n",
              "      <td>8</td>\n",
              "      <td>The Homer They Fall</td>\n",
              "      <td>17.00</td>\n",
              "      <td>8.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>210</td>\n",
              "      <td>909.0</td>\n",
              "      <td>7</td>\n",
              "      <td>210</td>\n",
              "      <td>1998-11-22</td>\n",
              "      <td>10</td>\n",
              "      <td>Lisa Gets an \"A\"</td>\n",
              "      <td>8.00</td>\n",
              "      <td>8.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>249</td>\n",
              "      <td>829.0</td>\n",
              "      <td>1</td>\n",
              "      <td>249</td>\n",
              "      <td>2000-11-01</td>\n",
              "      <td>12</td>\n",
              "      <td>Treehouse of Horror XI</td>\n",
              "      <td>13.20</td>\n",
              "      <td>7.6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>65</td>\n",
              "      <td>1293.0</td>\n",
              "      <td>6</td>\n",
              "      <td>65</td>\n",
              "      <td>1992-11-03</td>\n",
              "      <td>4</td>\n",
              "      <td>Itchy &amp; Scratchy: The Movie</td>\n",
              "      <td>20.10</td>\n",
              "      <td>8.2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    id  imdb_votes  ...  us_viewers_in_millions  imdb_score\n",
              "0  418       585.0  ...                    6.18         7.0\n",
              "1  156      1085.0  ...                   17.00         8.0\n",
              "2  210       909.0  ...                    8.00         8.0\n",
              "3  249       829.0  ...                   13.20         7.6\n",
              "4   65      1293.0  ...                   20.10         8.2\n",
              "\n",
              "[5 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CSw8D3BhJdv-",
        "outputId": "6933b3be-83d7-49f7-9e98-bd1c67abd2b1"
      },
      "source": [
        "train_df.info()"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 358 entries, 0 to 357\n",
            "Data columns (total 9 columns):\n",
            " #   Column                  Non-Null Count  Dtype  \n",
            "---  ------                  --------------  -----  \n",
            " 0   id                      358 non-null    int64  \n",
            " 1   imdb_votes              358 non-null    float64\n",
            " 2   number_in_season        358 non-null    int64  \n",
            " 3   number_in_series        358 non-null    int64  \n",
            " 4   original_air_date       358 non-null    object \n",
            " 5   season                  358 non-null    int64  \n",
            " 6   title                   358 non-null    object \n",
            " 7   us_viewers_in_millions  355 non-null    float64\n",
            " 8   imdb_score              358 non-null    float64\n",
            "dtypes: float64(3), int64(4), object(2)\n",
            "memory usage: 25.3+ KB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 284
        },
        "id": "ABbV_ZeUJobo",
        "outputId": "045402ae-1cf7-4155-e25e-de5ce6341aca"
      },
      "source": [
        "train_df.describe()"
      ],
      "execution_count": 24,
      "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>id</th>\n",
              "      <th>imdb_votes</th>\n",
              "      <th>number_in_season</th>\n",
              "      <th>number_in_series</th>\n",
              "      <th>season</th>\n",
              "      <th>us_viewers_in_millions</th>\n",
              "      <th>imdb_score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>358.000000</td>\n",
              "      <td>358.000000</td>\n",
              "      <td>358.000000</td>\n",
              "      <td>358.000000</td>\n",
              "      <td>358.000000</td>\n",
              "      <td>355.000000</td>\n",
              "      <td>358.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>293.620112</td>\n",
              "      <td>838.114525</td>\n",
              "      <td>11.500000</td>\n",
              "      <td>293.620112</td>\n",
              "      <td>13.790503</td>\n",
              "      <td>11.917972</td>\n",
              "      <td>7.388547</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>172.447600</td>\n",
              "      <td>399.025256</td>\n",
              "      <td>6.403671</td>\n",
              "      <td>172.447600</td>\n",
              "      <td>7.712133</td>\n",
              "      <td>6.398973</td>\n",
              "      <td>0.729266</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>104.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>2.520000</td>\n",
              "      <td>4.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>145.250000</td>\n",
              "      <td>563.750000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>145.250000</td>\n",
              "      <td>7.000000</td>\n",
              "      <td>7.250000</td>\n",
              "      <td>6.900000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>293.000000</td>\n",
              "      <td>715.500000</td>\n",
              "      <td>11.000000</td>\n",
              "      <td>293.000000</td>\n",
              "      <td>14.000000</td>\n",
              "      <td>10.300000</td>\n",
              "      <td>7.300000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>442.750000</td>\n",
              "      <td>1099.500000</td>\n",
              "      <td>17.000000</td>\n",
              "      <td>442.750000</td>\n",
              "      <td>21.000000</td>\n",
              "      <td>15.200000</td>\n",
              "      <td>8.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>597.000000</td>\n",
              "      <td>3734.000000</td>\n",
              "      <td>25.000000</td>\n",
              "      <td>597.000000</td>\n",
              "      <td>28.000000</td>\n",
              "      <td>33.500000</td>\n",
              "      <td>9.100000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "               id   imdb_votes  ...  us_viewers_in_millions  imdb_score\n",
              "count  358.000000   358.000000  ...              355.000000  358.000000\n",
              "mean   293.620112   838.114525  ...               11.917972    7.388547\n",
              "std    172.447600   399.025256  ...                6.398973    0.729266\n",
              "min      1.000000   104.000000  ...                2.520000    4.500000\n",
              "25%    145.250000   563.750000  ...                7.250000    6.900000\n",
              "50%    293.000000   715.500000  ...               10.300000    7.300000\n",
              "75%    442.750000  1099.500000  ...               15.200000    8.000000\n",
              "max    597.000000  3734.000000  ...               33.500000    9.100000\n",
              "\n",
              "[8 rows x 7 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GVZQOOQiJqze"
      },
      "source": [
        "t3=pd.DataFrame()\n",
        "t3=train_df['imdb_votes'].groupby(train_df['season'])"
      ],
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WglNIOwgVgwI",
        "outputId": "3b99cf3b-6e90-4419-e1d3-15f44eca864a"
      },
      "source": [
        "tt3=t3.sum()\n",
        "tt3"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "season\n",
              "1     20356.0\n",
              "2     16303.0\n",
              "3     16974.0\n",
              "4     20255.0\n",
              "5     17043.0\n",
              "6     15462.0\n",
              "7     21341.0\n",
              "8     17122.0\n",
              "9     16504.0\n",
              "10     8615.0\n",
              "11    15731.0\n",
              "12    10825.0\n",
              "13     4885.0\n",
              "14     9996.0\n",
              "15     6038.0\n",
              "16     6135.0\n",
              "17     9874.0\n",
              "18     8063.0\n",
              "19     7973.0\n",
              "20     7111.0\n",
              "21     8756.0\n",
              "22     4606.0\n",
              "23     8196.0\n",
              "24     6703.0\n",
              "25     6602.0\n",
              "26     4874.0\n",
              "27     3598.0\n",
              "28      104.0\n",
              "Name: imdb_votes, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xTRPTbnj-Tmj"
      },
      "source": [
        " **Total votes per season**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 906
        },
        "id": "qaaS20n6VouY",
        "outputId": "82efae0b-583c-4318-a451-ccef1e929fd0"
      },
      "source": [
        "tt3=pd.DataFrame(tt3)\n",
        "tt3"
      ],
      "execution_count": 27,
      "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>imdb_votes</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>season</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>20356.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>16303.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>16974.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>20255.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>17043.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>15462.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>21341.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>17122.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>16504.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>8615.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>15731.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>10825.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>4885.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>9996.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>6038.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>6135.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>9874.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>8063.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>7973.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>7111.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>8756.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>4606.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>8196.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>6703.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>6602.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>4874.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>3598.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>104.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        imdb_votes\n",
              "season            \n",
              "1          20356.0\n",
              "2          16303.0\n",
              "3          16974.0\n",
              "4          20255.0\n",
              "5          17043.0\n",
              "6          15462.0\n",
              "7          21341.0\n",
              "8          17122.0\n",
              "9          16504.0\n",
              "10          8615.0\n",
              "11         15731.0\n",
              "12         10825.0\n",
              "13          4885.0\n",
              "14          9996.0\n",
              "15          6038.0\n",
              "16          6135.0\n",
              "17          9874.0\n",
              "18          8063.0\n",
              "19          7973.0\n",
              "20          7111.0\n",
              "21          8756.0\n",
              "22          4606.0\n",
              "23          8196.0\n",
              "24          6703.0\n",
              "25          6602.0\n",
              "26          4874.0\n",
              "27          3598.0\n",
              "28           104.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jrcd50Hx-a02"
      },
      "source": [
        " **A bar plot for the same**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 279
        },
        "id": "hvPMPLglVtXk",
        "outputId": "234b17ad-e60f-4e98-84b1-45f375c1f218"
      },
      "source": [
        "plt.bar(tt3.index,tt3['imdb_votes'])\n",
        "plt.xlabel('Seasons')\n",
        "plt.ylabel('Max imdb votes per season')\n",
        "plt.show()\n",
        "# add values to each bar"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "p3mquE80-f3b"
      },
      "source": [
        " **A barplot for the viewership of every season in the US**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 279
        },
        "id": "78ATQfRvYLa3",
        "outputId": "7927bc41-5403-48ec-f7c5-2deb520eef87"
      },
      "source": [
        "sns.barplot(x=\"season\", y=\"us_viewers_in_millions\", data=test_df)\n",
        "plt.show()"
      ],
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "u5ar7uXD-ySH"
      },
      "source": [
        " **Season 1 had the maximum viewership amongst all 27 seasons, whereas season 27 received the least viewership**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nMXO9lGiV0iS"
      },
      "source": [
        "t4=pd.DataFrame()\n",
        "t4=train_df['imdb_score'].groupby(train_df['season'])"
      ],
      "execution_count": 30,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZKLSfQC---oZ"
      },
      "source": [
        "**Average imdb score per season**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AfhHf0ngWxPn",
        "outputId": "ce359e3a-d01b-4818-ab8a-0cd1d9d6dec4"
      },
      "source": [
        "tt4=t4.mean()\n",
        "tt4"
      ],
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "season\n",
              "1     7.772727\n",
              "2     7.983333\n",
              "3     8.161538\n",
              "4     8.260000\n",
              "5     8.369231\n",
              "6     8.192308\n",
              "7     8.350000\n",
              "8     8.180000\n",
              "9     7.900000\n",
              "10    7.520000\n",
              "11    7.260000\n",
              "12    7.335714\n",
              "13    7.171429\n",
              "14    7.125000\n",
              "15    7.160000\n",
              "16    7.054545\n",
              "17    6.856250\n",
              "18    6.915385\n",
              "19    7.033333\n",
              "20    6.854545\n",
              "21    6.793750\n",
              "22    6.822222\n",
              "23    6.607143\n",
              "24    6.753333\n",
              "25    6.800000\n",
              "26    6.760000\n",
              "27    6.833333\n",
              "28    6.600000\n",
              "Name: imdb_score, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 906
        },
        "id": "iPEfr6dWW51O",
        "outputId": "13f4a6ff-066d-407c-c036-b962171ef616"
      },
      "source": [
        "tt4=pd.DataFrame(tt4)\n",
        "tt4"
      ],
      "execution_count": 32,
      "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>imdb_score</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>season</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>7.772727</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>7.983333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>8.161538</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>8.260000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>8.369231</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>8.192308</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>8.350000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>8.180000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>7.900000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>7.520000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>7.260000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>7.335714</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>7.171429</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>7.125000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>7.160000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>7.054545</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>6.856250</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>6.915385</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>7.033333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>6.854545</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>6.793750</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>6.822222</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>6.607143</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>6.753333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>6.800000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>6.760000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>6.833333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>6.600000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        imdb_score\n",
              "season            \n",
              "1         7.772727\n",
              "2         7.983333\n",
              "3         8.161538\n",
              "4         8.260000\n",
              "5         8.369231\n",
              "6         8.192308\n",
              "7         8.350000\n",
              "8         8.180000\n",
              "9         7.900000\n",
              "10        7.520000\n",
              "11        7.260000\n",
              "12        7.335714\n",
              "13        7.171429\n",
              "14        7.125000\n",
              "15        7.160000\n",
              "16        7.054545\n",
              "17        6.856250\n",
              "18        6.915385\n",
              "19        7.033333\n",
              "20        6.854545\n",
              "21        6.793750\n",
              "22        6.822222\n",
              "23        6.607143\n",
              "24        6.753333\n",
              "25        6.800000\n",
              "26        6.760000\n",
              "27        6.833333\n",
              "28        6.600000"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 279
        },
        "id": "4sZccsMWW_Tt",
        "outputId": "0748a62f-ad5d-49eb-d476-3c16cd8000c7"
      },
      "source": [
        "ax=sns.barplot(x=tt4.index,y=tt4['imdb_score'],data=tt4)\n",
        "ax.set(xlabel='Season', ylabel='Avg imdb score')\n",
        "plt.show()\n",
        "# add values to each bar"
      ],
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3QvXWYMx_KRq"
      },
      "source": [
        " **The average imdb score for all 27 seasons has been 7 or more than that which suggests that the show has been a favourite of the US audience**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 279
        },
        "id": "xskEmAYdXGpL",
        "outputId": "3e02573e-7ae9-49b7-94e6-715b78d04497"
      },
      "source": [
        "sns.barplot(x=\"season\", y=\"us_viewers_in_millions\", data=train_df)\n",
        "plt.show()"
      ],
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "24B_yLzSYR0P"
      },
      "source": [
        "### **Now merging Test and Train dataset**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eowCIh_SX-sz"
      },
      "source": [
        "merge=[test_df,train_df]\n",
        "mergedf=pd.concat(merge)"
      ],
      "execution_count": 35,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qovJ_itEAKK7"
      },
      "source": [
        "### **EDA on merged dataset**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 195
        },
        "id": "qaGnJoM1Y_wW",
        "outputId": "3b9f8d40-913d-4de9-dd7d-a6a129d7494f"
      },
      "source": [
        "mergedf.head()"
      ],
      "execution_count": 36,
      "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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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>imdb_votes</th>\n",
              "      <th>number_in_season</th>\n",
              "      <th>number_in_series</th>\n",
              "      <th>original_air_date</th>\n",
              "      <th>season</th>\n",
              "      <th>title</th>\n",
              "      <th>us_viewers_in_millions</th>\n",
              "      <th>imdb_score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>207</td>\n",
              "      <td>1013.0</td>\n",
              "      <td>4</td>\n",
              "      <td>207</td>\n",
              "      <td>1998-10-25</td>\n",
              "      <td>10</td>\n",
              "      <td>Treehouse of Horror IX</td>\n",
              "      <td>8.5</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>273</td>\n",
              "      <td>651.0</td>\n",
              "      <td>4</td>\n",
              "      <td>273</td>\n",
              "      <td>2001-12-02</td>\n",
              "      <td>13</td>\n",
              "      <td>A Hunka Hunka Burns in Love</td>\n",
              "      <td>13.4</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>36</td>\n",
              "      <td>1798.0</td>\n",
              "      <td>1</td>\n",
              "      <td>36</td>\n",
              "      <td>1991-09-19</td>\n",
              "      <td>3</td>\n",
              "      <td>Stark Raving Dad</td>\n",
              "      <td>22.9</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>252</td>\n",
              "      <td>731.0</td>\n",
              "      <td>4</td>\n",
              "      <td>252</td>\n",
              "      <td>2000-11-19</td>\n",
              "      <td>12</td>\n",
              "      <td>Lisa the Tree Hugger</td>\n",
              "      <td>14.9</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>327</td>\n",
              "      <td>568.0</td>\n",
              "      <td>14</td>\n",
              "      <td>327</td>\n",
              "      <td>2004-03-14</td>\n",
              "      <td>15</td>\n",
              "      <td>The Ziff Who Came to Dinner</td>\n",
              "      <td>10.7</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    id  imdb_votes  ...  us_viewers_in_millions  imdb_score\n",
              "0  207      1013.0  ...                     8.5         NaN\n",
              "1  273       651.0  ...                    13.4         NaN\n",
              "2   36      1798.0  ...                    22.9         NaN\n",
              "3  252       731.0  ...                    14.9         NaN\n",
              "4  327       568.0  ...                    10.7         NaN\n",
              "\n",
              "[5 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RDMrXq6SZBbY",
        "outputId": "f4bb1c7f-ffef-42b5-a481-a0d6f454ff6b"
      },
      "source": [
        "mergedf['imdb_score'].isnull().sum() \n",
        "# equal to 239 rows present in test dataset as this column doesn't exist in test df\n",
        "# thus dropping this column"
      ],
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "239"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "95VdRW_kZHez"
      },
      "source": [
        "mergedf=mergedf.drop('imdb_score',axis=1)"
      ],
      "execution_count": 38,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "x69jDawzZlKg",
        "outputId": "b36accb0-17b2-4b4a-82e9-c49177684f1e"
      },
      "source": [
        "mergedf.isnull().sum()"
      ],
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "id                        0\n",
              "imdb_votes                0\n",
              "number_in_season          0\n",
              "number_in_series          0\n",
              "original_air_date         0\n",
              "season                    0\n",
              "title                     0\n",
              "us_viewers_in_millions    3\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kNbsDByoZtbT"
      },
      "source": [
        "mergedf['us_viewers_in_millions']=mergedf['us_viewers_in_millions'].fillna(mergedf['us_viewers_in_millions'].mean())"
      ],
      "execution_count": 40,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LpCVrKacacKo",
        "outputId": "4e55041b-85ae-4af8-bbdc-e8dae2ff4057"
      },
      "source": [
        "mergedf.isnull().sum()"
      ],
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "id                        0\n",
              "imdb_votes                0\n",
              "number_in_season          0\n",
              "number_in_series          0\n",
              "original_air_date         0\n",
              "season                    0\n",
              "title                     0\n",
              "us_viewers_in_millions    0\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 195
        },
        "id": "paZr9Bl8aftt",
        "outputId": "0dc663fc-cef0-43f1-fdd1-424047d7a51a"
      },
      "source": [
        "mergedf.head()"
      ],
      "execution_count": 42,
      "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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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>imdb_votes</th>\n",
              "      <th>number_in_season</th>\n",
              "      <th>number_in_series</th>\n",
              "      <th>original_air_date</th>\n",
              "      <th>season</th>\n",
              "      <th>title</th>\n",
              "      <th>us_viewers_in_millions</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>207</td>\n",
              "      <td>1013.0</td>\n",
              "      <td>4</td>\n",
              "      <td>207</td>\n",
              "      <td>1998-10-25</td>\n",
              "      <td>10</td>\n",
              "      <td>Treehouse of Horror IX</td>\n",
              "      <td>8.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>273</td>\n",
              "      <td>651.0</td>\n",
              "      <td>4</td>\n",
              "      <td>273</td>\n",
              "      <td>2001-12-02</td>\n",
              "      <td>13</td>\n",
              "      <td>A Hunka Hunka Burns in Love</td>\n",
              "      <td>13.4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>36</td>\n",
              "      <td>1798.0</td>\n",
              "      <td>1</td>\n",
              "      <td>36</td>\n",
              "      <td>1991-09-19</td>\n",
              "      <td>3</td>\n",
              "      <td>Stark Raving Dad</td>\n",
              "      <td>22.9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>252</td>\n",
              "      <td>731.0</td>\n",
              "      <td>4</td>\n",
              "      <td>252</td>\n",
              "      <td>2000-11-19</td>\n",
              "      <td>12</td>\n",
              "      <td>Lisa the Tree Hugger</td>\n",
              "      <td>14.9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>327</td>\n",
              "      <td>568.0</td>\n",
              "      <td>14</td>\n",
              "      <td>327</td>\n",
              "      <td>2004-03-14</td>\n",
              "      <td>15</td>\n",
              "      <td>The Ziff Who Came to Dinner</td>\n",
              "      <td>10.7</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    id  imdb_votes  ...                        title  us_viewers_in_millions\n",
              "0  207      1013.0  ...       Treehouse of Horror IX                     8.5\n",
              "1  273       651.0  ...  A Hunka Hunka Burns in Love                    13.4\n",
              "2   36      1798.0  ...             Stark Raving Dad                    22.9\n",
              "3  252       731.0  ...         Lisa the Tree Hugger                    14.9\n",
              "4  327       568.0  ...  The Ziff Who Came to Dinner                    10.7\n",
              "\n",
              "[5 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 42
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 225
        },
        "id": "8nC9u2wGal99",
        "outputId": "8014c3c0-c7ed-44c0-bbf8-28a34825fe9d"
      },
      "source": [
        "mergedf.corr()"
      ],
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>imdb_votes</th>\n",
              "      <th>number_in_season</th>\n",
              "      <th>number_in_series</th>\n",
              "      <th>season</th>\n",
              "      <th>us_viewers_in_millions</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>id</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.849787</td>\n",
              "      <td>0.011935</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.999071</td>\n",
              "      <td>-0.854458</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>imdb_votes</th>\n",
              "      <td>-0.849787</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.103570</td>\n",
              "      <td>-0.849787</td>\n",
              "      <td>-0.841633</td>\n",
              "      <td>0.785885</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>number_in_season</th>\n",
              "      <td>0.011935</td>\n",
              "      <td>-0.103570</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.011935</td>\n",
              "      <td>-0.025169</td>\n",
              "      <td>-0.154905</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>number_in_series</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.849787</td>\n",
              "      <td>0.011935</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.999071</td>\n",
              "      <td>-0.854458</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>season</th>\n",
              "      <td>0.999071</td>\n",
              "      <td>-0.841633</td>\n",
              "      <td>-0.025169</td>\n",
              "      <td>0.999071</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.845100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>us_viewers_in_millions</th>\n",
              "      <td>-0.854458</td>\n",
              "      <td>0.785885</td>\n",
              "      <td>-0.154905</td>\n",
              "      <td>-0.854458</td>\n",
              "      <td>-0.845100</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                              id  imdb_votes  ...    season  us_viewers_in_millions\n",
              "id                      1.000000   -0.849787  ...  0.999071               -0.854458\n",
              "imdb_votes             -0.849787    1.000000  ... -0.841633                0.785885\n",
              "number_in_season        0.011935   -0.103570  ... -0.025169               -0.154905\n",
              "number_in_series        1.000000   -0.849787  ...  0.999071               -0.854458\n",
              "season                  0.999071   -0.841633  ...  1.000000               -0.845100\n",
              "us_viewers_in_millions -0.854458    0.785885  ... -0.845100                1.000000\n",
              "\n",
              "[6 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 372
        },
        "id": "kHxqMD_maqNA",
        "outputId": "8fc991bc-6c1b-436e-85b4-aa426bfeb82e"
      },
      "source": [
        "sns.heatmap(mergedf.corr(), annot= True)\n",
        "plt.show()"
      ],
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "P6J3EHVrbqLa"
      },
      "source": [
        "### **Plots on merged dataset**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 279
        },
        "id": "Ngku8uQuatun",
        "outputId": "4b9a87d8-fb8c-40e1-b06c-cc35fbe4ba4f"
      },
      "source": [
        "sns.countplot(x=\"season\", data=mergedf)\n",
        "plt.show()"
      ],
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        },
        "id": "gYxpMoSCbx44",
        "outputId": "210d0415-6d48-4ac1-b9e6-5d5a4d802699"
      },
      "source": [
        "sns.barplot(x=\"season\", y=\"us_viewers_in_millions\", data=mergedf)"
      ],
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fb1f74dc9e8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 46
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 299
        },
        "id": "avcLEtlFcHIp",
        "outputId": "3b0f011b-f8a4-46d4-9064-f42122889882"
      },
      "source": [
        "sns.boxplot(x=\"season\", y=\"us_viewers_in_millions\", data=mergedf)"
      ],
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fb1f7466550>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 47
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xe5NPZ69j5Mf"
      },
      "source": [
        "### **Feature Added**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uGPwhwYkcd8Z"
      },
      "source": [
        "mergedf['title_len'] = mergedf['title'].apply(lambda x: len(x))"
      ],
      "execution_count": 48,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 195
        },
        "id": "Mmq-23gxjs4F",
        "outputId": "fc5579e7-9ee5-4c2f-94a6-6953f9aac7c3"
      },
      "source": [
        "mergedf.head()"
      ],
      "execution_count": 49,
      "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>id</th>\n",
              "      <th>imdb_votes</th>\n",
              "      <th>number_in_season</th>\n",
              "      <th>number_in_series</th>\n",
              "      <th>original_air_date</th>\n",
              "      <th>season</th>\n",
              "      <th>title</th>\n",
              "      <th>us_viewers_in_millions</th>\n",
              "      <th>title_len</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>207</td>\n",
              "      <td>1013.0</td>\n",
              "      <td>4</td>\n",
              "      <td>207</td>\n",
              "      <td>1998-10-25</td>\n",
              "      <td>10</td>\n",
              "      <td>Treehouse of Horror IX</td>\n",
              "      <td>8.5</td>\n",
              "      <td>22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>273</td>\n",
              "      <td>651.0</td>\n",
              "      <td>4</td>\n",
              "      <td>273</td>\n",
              "      <td>2001-12-02</td>\n",
              "      <td>13</td>\n",
              "      <td>A Hunka Hunka Burns in Love</td>\n",
              "      <td>13.4</td>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>36</td>\n",
              "      <td>1798.0</td>\n",
              "      <td>1</td>\n",
              "      <td>36</td>\n",
              "      <td>1991-09-19</td>\n",
              "      <td>3</td>\n",
              "      <td>Stark Raving Dad</td>\n",
              "      <td>22.9</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>252</td>\n",
              "      <td>731.0</td>\n",
              "      <td>4</td>\n",
              "      <td>252</td>\n",
              "      <td>2000-11-19</td>\n",
              "      <td>12</td>\n",
              "      <td>Lisa the Tree Hugger</td>\n",
              "      <td>14.9</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>327</td>\n",
              "      <td>568.0</td>\n",
              "      <td>14</td>\n",
              "      <td>327</td>\n",
              "      <td>2004-03-14</td>\n",
              "      <td>15</td>\n",
              "      <td>The Ziff Who Came to Dinner</td>\n",
              "      <td>10.7</td>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    id  imdb_votes  ...  us_viewers_in_millions  title_len\n",
              "0  207      1013.0  ...                     8.5         22\n",
              "1  273       651.0  ...                    13.4         27\n",
              "2   36      1798.0  ...                    22.9         16\n",
              "3  252       731.0  ...                    14.9         20\n",
              "4  327       568.0  ...                    10.7         27\n",
              "\n",
              "[5 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 49
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0iP9hrv9Ac-7"
      },
      "source": [
        " **Year extracted from the original air date**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4MXr2fJ6juFN"
      },
      "source": [
        "mergedf['original_air_date']=pd.to_datetime(mergedf['original_air_date'])\n",
        "# mergedf['month'] = mergedf['original_air_date'].dt.month\n",
        "# df['year'] = df['datetime_utc'].dt.year\n"
      ],
      "execution_count": 50,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 195
        },
        "id": "zIMyFqKHlhI0",
        "outputId": "531bd9fd-ce31-42c8-d727-493a353bc3a3"
      },
      "source": [
        "mergedf.head()"
      ],
      "execution_count": 51,
      "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>id</th>\n",
              "      <th>imdb_votes</th>\n",
              "      <th>number_in_season</th>\n",
              "      <th>number_in_series</th>\n",
              "      <th>original_air_date</th>\n",
              "      <th>season</th>\n",
              "      <th>title</th>\n",
              "      <th>us_viewers_in_millions</th>\n",
              "      <th>title_len</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>207</td>\n",
              "      <td>1013.0</td>\n",
              "      <td>4</td>\n",
              "      <td>207</td>\n",
              "      <td>1998-10-25</td>\n",
              "      <td>10</td>\n",
              "      <td>Treehouse of Horror IX</td>\n",
              "      <td>8.5</td>\n",
              "      <td>22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>273</td>\n",
              "      <td>651.0</td>\n",
              "      <td>4</td>\n",
              "      <td>273</td>\n",
              "      <td>2001-12-02</td>\n",
              "      <td>13</td>\n",
              "      <td>A Hunka Hunka Burns in Love</td>\n",
              "      <td>13.4</td>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>36</td>\n",
              "      <td>1798.0</td>\n",
              "      <td>1</td>\n",
              "      <td>36</td>\n",
              "      <td>1991-09-19</td>\n",
              "      <td>3</td>\n",
              "      <td>Stark Raving Dad</td>\n",
              "      <td>22.9</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>252</td>\n",
              "      <td>731.0</td>\n",
              "      <td>4</td>\n",
              "      <td>252</td>\n",
              "      <td>2000-11-19</td>\n",
              "      <td>12</td>\n",
              "      <td>Lisa the Tree Hugger</td>\n",
              "      <td>14.9</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>327</td>\n",
              "      <td>568.0</td>\n",
              "      <td>14</td>\n",
              "      <td>327</td>\n",
              "      <td>2004-03-14</td>\n",
              "      <td>15</td>\n",
              "      <td>The Ziff Who Came to Dinner</td>\n",
              "      <td>10.7</td>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    id  imdb_votes  ...  us_viewers_in_millions  title_len\n",
              "0  207      1013.0  ...                     8.5         22\n",
              "1  273       651.0  ...                    13.4         27\n",
              "2   36      1798.0  ...                    22.9         16\n",
              "3  252       731.0  ...                    14.9         20\n",
              "4  327       568.0  ...                    10.7         27\n",
              "\n",
              "[5 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 51
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BnKmtgZYmAVH"
      },
      "source": [
        "# mergedf=mergedf.drop('date',axis=1)"
      ],
      "execution_count": 52,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 195
        },
        "id": "0BA3z2KImMCj",
        "outputId": "a5b7b912-2455-48da-97de-427106ddcfa6"
      },
      "source": [
        "mergedf.head()"
      ],
      "execution_count": 53,
      "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>id</th>\n",
              "      <th>imdb_votes</th>\n",
              "      <th>number_in_season</th>\n",
              "      <th>number_in_series</th>\n",
              "      <th>original_air_date</th>\n",
              "      <th>season</th>\n",
              "      <th>title</th>\n",
              "      <th>us_viewers_in_millions</th>\n",
              "      <th>title_len</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>207</td>\n",
              "      <td>1013.0</td>\n",
              "      <td>4</td>\n",
              "      <td>207</td>\n",
              "      <td>1998-10-25</td>\n",
              "      <td>10</td>\n",
              "      <td>Treehouse of Horror IX</td>\n",
              "      <td>8.5</td>\n",
              "      <td>22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>273</td>\n",
              "      <td>651.0</td>\n",
              "      <td>4</td>\n",
              "      <td>273</td>\n",
              "      <td>2001-12-02</td>\n",
              "      <td>13</td>\n",
              "      <td>A Hunka Hunka Burns in Love</td>\n",
              "      <td>13.4</td>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>36</td>\n",
              "      <td>1798.0</td>\n",
              "      <td>1</td>\n",
              "      <td>36</td>\n",
              "      <td>1991-09-19</td>\n",
              "      <td>3</td>\n",
              "      <td>Stark Raving Dad</td>\n",
              "      <td>22.9</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>252</td>\n",
              "      <td>731.0</td>\n",
              "      <td>4</td>\n",
              "      <td>252</td>\n",
              "      <td>2000-11-19</td>\n",
              "      <td>12</td>\n",
              "      <td>Lisa the Tree Hugger</td>\n",
              "      <td>14.9</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>327</td>\n",
              "      <td>568.0</td>\n",
              "      <td>14</td>\n",
              "      <td>327</td>\n",
              "      <td>2004-03-14</td>\n",
              "      <td>15</td>\n",
              "      <td>The Ziff Who Came to Dinner</td>\n",
              "      <td>10.7</td>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    id  imdb_votes  ...  us_viewers_in_millions  title_len\n",
              "0  207      1013.0  ...                     8.5         22\n",
              "1  273       651.0  ...                    13.4         27\n",
              "2   36      1798.0  ...                    22.9         16\n",
              "3  252       731.0  ...                    14.9         20\n",
              "4  327       568.0  ...                    10.7         27\n",
              "\n",
              "[5 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 53
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tx6a1HyPmUrR"
      },
      "source": [
        "mergedf['month'] = mergedf['original_air_date'].dt.month\n",
        "mergedf['year'] = mergedf['original_air_date'].dt.year"
      ],
      "execution_count": 54,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 279
        },
        "id": "LNw08HzUmlRB",
        "outputId": "060b004c-1a8f-491d-b417-36b987859fbd"
      },
      "source": [
        "mergedf.head()"
      ],
      "execution_count": 55,
      "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>id</th>\n",
              "      <th>imdb_votes</th>\n",
              "      <th>number_in_season</th>\n",
              "      <th>number_in_series</th>\n",
              "      <th>original_air_date</th>\n",
              "      <th>season</th>\n",
              "      <th>title</th>\n",
              "      <th>us_viewers_in_millions</th>\n",
              "      <th>title_len</th>\n",
              "      <th>month</th>\n",
              "      <th>year</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>207</td>\n",
              "      <td>1013.0</td>\n",
              "      <td>4</td>\n",
              "      <td>207</td>\n",
              "      <td>1998-10-25</td>\n",
              "      <td>10</td>\n",
              "      <td>Treehouse of Horror IX</td>\n",
              "      <td>8.5</td>\n",
              "      <td>22</td>\n",
              "      <td>10</td>\n",
              "      <td>1998</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>273</td>\n",
              "      <td>651.0</td>\n",
              "      <td>4</td>\n",
              "      <td>273</td>\n",
              "      <td>2001-12-02</td>\n",
              "      <td>13</td>\n",
              "      <td>A Hunka Hunka Burns in Love</td>\n",
              "      <td>13.4</td>\n",
              "      <td>27</td>\n",
              "      <td>12</td>\n",
              "      <td>2001</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>36</td>\n",
              "      <td>1798.0</td>\n",
              "      <td>1</td>\n",
              "      <td>36</td>\n",
              "      <td>1991-09-19</td>\n",
              "      <td>3</td>\n",
              "      <td>Stark Raving Dad</td>\n",
              "      <td>22.9</td>\n",
              "      <td>16</td>\n",
              "      <td>9</td>\n",
              "      <td>1991</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>252</td>\n",
              "      <td>731.0</td>\n",
              "      <td>4</td>\n",
              "      <td>252</td>\n",
              "      <td>2000-11-19</td>\n",
              "      <td>12</td>\n",
              "      <td>Lisa the Tree Hugger</td>\n",
              "      <td>14.9</td>\n",
              "      <td>20</td>\n",
              "      <td>11</td>\n",
              "      <td>2000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>327</td>\n",
              "      <td>568.0</td>\n",
              "      <td>14</td>\n",
              "      <td>327</td>\n",
              "      <td>2004-03-14</td>\n",
              "      <td>15</td>\n",
              "      <td>The Ziff Who Came to Dinner</td>\n",
              "      <td>10.7</td>\n",
              "      <td>27</td>\n",
              "      <td>3</td>\n",
              "      <td>2004</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    id  imdb_votes  number_in_season  ...  title_len month  year\n",
              "0  207      1013.0                 4  ...         22    10  1998\n",
              "1  273       651.0                 4  ...         27    12  2001\n",
              "2   36      1798.0                 1  ...         16     9  1991\n",
              "3  252       731.0                 4  ...         20    11  2000\n",
              "4  327       568.0                14  ...         27     3  2004\n",
              "\n",
              "[5 rows x 11 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 55
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "SlIQ_xYHmmh5",
        "outputId": "b5eceb05-fe1d-4310-abf3-fdd034102ed6"
      },
      "source": [
        "sns.countplot(x=mergedf['month'],data=mergedf)\n",
        "plt.show()"
      ],
      "execution_count": 93,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "npPFdQAsAwGS"
      },
      "source": [
        " **The above countplot shows the maximum number of releases have been made in which month whereas the month of June-July have been least targeted to air the episodes whereas November and May have been targeted the most**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 290
        },
        "id": "qSO0evwsmvQi",
        "outputId": "c9af08d2-512f-4b84-d133-37bbc77c2c5f"
      },
      "source": [
        "# sns.countplot(x=mergedf['year'],data=mergedf)\n",
        "plt.figure(figsize=(20,5))\n",
        "ax = sns.countplot(x=mergedf['year'], data=mergedf)\n",
        "ax.set_xticklabels(ax.get_xticklabels(), rotation=40, ha=\"right\")\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "D60ahMUHBvVR"
      },
      "source": [
        " **A count plot of year wise release of the episodes**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jodfBm1UCFF2"
      },
      "source": [
        "### **EDA on the scripts dataset**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ruqlC-Bxm0L6",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "75b1063b-f2ac-4b3f-f3a9-89fb1d07a838"
      },
      "source": [
        "scripts=pd.read_csv('script_lines.csv')"
      ],
      "execution_count": 58,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/IPython/core/interactiveshell.py:2718: DtypeWarning: Columns (4,5) have mixed types.Specify dtype option on import or set low_memory=False.\n",
            "  interactivity=interactivity, compiler=compiler, result=result)\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 618
        },
        "id": "-4t20nshz6Cx",
        "outputId": "7dd97362-11de-441f-adee-07a762b9cf29"
      },
      "source": [
        "scripts.head()"
      ],
      "execution_count": 59,
      "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>id</th>\n",
              "      <th>episode_id</th>\n",
              "      <th>number</th>\n",
              "      <th>raw_text</th>\n",
              "      <th>speaking_line</th>\n",
              "      <th>character_id</th>\n",
              "      <th>location_id</th>\n",
              "      <th>raw_character_text</th>\n",
              "      <th>raw_location_text</th>\n",
              "      <th>spoken_words</th>\n",
              "      <th>normalized_text</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>9549</td>\n",
              "      <td>32</td>\n",
              "      <td>209</td>\n",
              "      <td>Miss Hoover: No, actually, it was a little of ...</td>\n",
              "      <td>True</td>\n",
              "      <td>464</td>\n",
              "      <td>3.0</td>\n",
              "      <td>Miss Hoover</td>\n",
              "      <td>Springfield Elementary School</td>\n",
              "      <td>No, actually, it was a little of both. Sometim...</td>\n",
              "      <td>no actually it was a little of both sometimes ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>9550</td>\n",
              "      <td>32</td>\n",
              "      <td>210</td>\n",
              "      <td>Lisa Simpson: (NEAR TEARS) Where's Mr. Bergstrom?</td>\n",
              "      <td>True</td>\n",
              "      <td>9</td>\n",
              "      <td>3.0</td>\n",
              "      <td>Lisa Simpson</td>\n",
              "      <td>Springfield Elementary School</td>\n",
              "      <td>Where's Mr. Bergstrom?</td>\n",
              "      <td>wheres mr bergstrom</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>9551</td>\n",
              "      <td>32</td>\n",
              "      <td>211</td>\n",
              "      <td>Miss Hoover: I don't know. Although I'd sure l...</td>\n",
              "      <td>True</td>\n",
              "      <td>464</td>\n",
              "      <td>3.0</td>\n",
              "      <td>Miss Hoover</td>\n",
              "      <td>Springfield Elementary School</td>\n",
              "      <td>I don't know. Although I'd sure like to talk t...</td>\n",
              "      <td>i dont know although id sure like to talk to h...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>9552</td>\n",
              "      <td>32</td>\n",
              "      <td>212</td>\n",
              "      <td>Lisa Simpson: That life is worth living.</td>\n",
              "      <td>True</td>\n",
              "      <td>9</td>\n",
              "      <td>3.0</td>\n",
              "      <td>Lisa Simpson</td>\n",
              "      <td>Springfield Elementary School</td>\n",
              "      <td>That life is worth living.</td>\n",
              "      <td>that life is worth living</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>9553</td>\n",
              "      <td>32</td>\n",
              "      <td>213</td>\n",
              "      <td>Edna Krabappel-Flanders: The polls will be ope...</td>\n",
              "      <td>True</td>\n",
              "      <td>40</td>\n",
              "      <td>3.0</td>\n",
              "      <td>Edna Krabappel-Flanders</td>\n",
              "      <td>Springfield Elementary School</td>\n",
              "      <td>The polls will be open from now until the end ...</td>\n",
              "      <td>the polls will be open from now until the end ...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "     id  ...                                    normalized_text\n",
              "0  9549  ...  no actually it was a little of both sometimes ...\n",
              "1  9550  ...                                wheres mr bergstrom\n",
              "2  9551  ...  i dont know although id sure like to talk to h...\n",
              "3  9552  ...                          that life is worth living\n",
              "4  9553  ...  the polls will be open from now until the end ...\n",
              "\n",
              "[5 rows x 11 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 59
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "c83x2-3z0JHB"
      },
      "source": [
        "scripts['totalwords'] = scripts['normalized_text'].str.split().str.len()"
      ],
      "execution_count": 60,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gMZkrJjh-N4b",
        "outputId": "5b6cb1cf-a58d-439a-f8ba-a2ff8ddac0aa"
      },
      "source": [
        "scripts.info()"
      ],
      "execution_count": 61,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 158248 entries, 0 to 158247\n",
            "Data columns (total 12 columns):\n",
            " #   Column              Non-Null Count   Dtype  \n",
            "---  ------              --------------   -----  \n",
            " 0   id                  158248 non-null  int64  \n",
            " 1   episode_id          158248 non-null  int64  \n",
            " 2   number              158248 non-null  int64  \n",
            " 3   raw_text            158248 non-null  object \n",
            " 4   speaking_line       158248 non-null  object \n",
            " 5   character_id        140727 non-null  object \n",
            " 6   location_id         157841 non-null  float64\n",
            " 7   raw_character_text  140726 non-null  object \n",
            " 8   raw_location_text   157840 non-null  object \n",
            " 9   spoken_words        132089 non-null  object \n",
            " 10  normalized_text     132064 non-null  object \n",
            " 11  totalwords          132064 non-null  float64\n",
            "dtypes: float64(2), int64(3), object(7)\n",
            "memory usage: 14.5+ MB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 618
        },
        "id": "LbjHNS2w3__8",
        "outputId": "ec0b20a8-2065-48e1-8835-2982b4663a0c"
      },
      "source": [
        "scripts.head()"
      ],
      "execution_count": 62,
      "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>id</th>\n",
              "      <th>episode_id</th>\n",
              "      <th>number</th>\n",
              "      <th>raw_text</th>\n",
              "      <th>speaking_line</th>\n",
              "      <th>character_id</th>\n",
              "      <th>location_id</th>\n",
              "      <th>raw_character_text</th>\n",
              "      <th>raw_location_text</th>\n",
              "      <th>spoken_words</th>\n",
              "      <th>normalized_text</th>\n",
              "      <th>totalwords</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>9549</td>\n",
              "      <td>32</td>\n",
              "      <td>209</td>\n",
              "      <td>Miss Hoover: No, actually, it was a little of ...</td>\n",
              "      <td>True</td>\n",
              "      <td>464</td>\n",
              "      <td>3.0</td>\n",
              "      <td>Miss Hoover</td>\n",
              "      <td>Springfield Elementary School</td>\n",
              "      <td>No, actually, it was a little of both. Sometim...</td>\n",
              "      <td>no actually it was a little of both sometimes ...</td>\n",
              "      <td>31.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>9550</td>\n",
              "      <td>32</td>\n",
              "      <td>210</td>\n",
              "      <td>Lisa Simpson: (NEAR TEARS) Where's Mr. Bergstrom?</td>\n",
              "      <td>True</td>\n",
              "      <td>9</td>\n",
              "      <td>3.0</td>\n",
              "      <td>Lisa Simpson</td>\n",
              "      <td>Springfield Elementary School</td>\n",
              "      <td>Where's Mr. Bergstrom?</td>\n",
              "      <td>wheres mr bergstrom</td>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>9551</td>\n",
              "      <td>32</td>\n",
              "      <td>211</td>\n",
              "      <td>Miss Hoover: I don't know. Although I'd sure l...</td>\n",
              "      <td>True</td>\n",
              "      <td>464</td>\n",
              "      <td>3.0</td>\n",
              "      <td>Miss Hoover</td>\n",
              "      <td>Springfield Elementary School</td>\n",
              "      <td>I don't know. Although I'd sure like to talk t...</td>\n",
              "      <td>i dont know although id sure like to talk to h...</td>\n",
              "      <td>22.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>9552</td>\n",
              "      <td>32</td>\n",
              "      <td>212</td>\n",
              "      <td>Lisa Simpson: That life is worth living.</td>\n",
              "      <td>True</td>\n",
              "      <td>9</td>\n",
              "      <td>3.0</td>\n",
              "      <td>Lisa Simpson</td>\n",
              "      <td>Springfield Elementary School</td>\n",
              "      <td>That life is worth living.</td>\n",
              "      <td>that life is worth living</td>\n",
              "      <td>5.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>9553</td>\n",
              "      <td>32</td>\n",
              "      <td>213</td>\n",
              "      <td>Edna Krabappel-Flanders: The polls will be ope...</td>\n",
              "      <td>True</td>\n",
              "      <td>40</td>\n",
              "      <td>3.0</td>\n",
              "      <td>Edna Krabappel-Flanders</td>\n",
              "      <td>Springfield Elementary School</td>\n",
              "      <td>The polls will be open from now until the end ...</td>\n",
              "      <td>the polls will be open from now until the end ...</td>\n",
              "      <td>33.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "     id  ...  totalwords\n",
              "0  9549  ...        31.0\n",
              "1  9550  ...         3.0\n",
              "2  9551  ...        22.0\n",
              "3  9552  ...         5.0\n",
              "4  9553  ...        33.0\n",
              "\n",
              "[5 rows x 12 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 62
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GTzxBnR_5iLm",
        "outputId": "acd7c0d1-700f-4f6a-ae4f-13725bece5fd"
      },
      "source": [
        "import re\n",
        "import nltk\n",
        "nltk.download(\"stopwords\")"
      ],
      "execution_count": 63,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
            "[nltk_data]   Unzipping corpora/stopwords.zip.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 63
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eCoS4Jq76_Kq"
      },
      "source": [
        "import matplotlib.image as mpimg\n",
        "\n",
        "from matplotlib.offsetbox import (TextArea, DrawingArea, OffsetImage,\n",
        "                                  AnnotationBbox)\n",
        "from matplotlib.cbook import get_sample_data\n",
        "from wordcloud import WordCloud,STOPWORDS\n",
        "from sklearn.feature_extraction.text import CountVectorizer\n",
        "from plotly import tools\n",
        "from plotly.offline import init_notebook_mode,iplot,plot\n",
        "from nltk.corpus import stopwords\n"
      ],
      "execution_count": 64,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Bhy_2pFG7Uxb"
      },
      "source": [
        "stop = stopwords.words('english')"
      ],
      "execution_count": 65,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wMk9JYvL875p",
        "outputId": "a4a35d23-48d9-4008-dc7a-a5f54ebd336c"
      },
      "source": [
        "nltk.download('punkt')\n",
        "nltk.download('wordnet')"
      ],
      "execution_count": 66,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[nltk_data] Downloading package punkt to /root/nltk_data...\n",
            "[nltk_data]   Unzipping tokenizers/punkt.zip.\n",
            "[nltk_data] Downloading package wordnet to /root/nltk_data...\n",
            "[nltk_data]   Unzipping corpora/wordnet.zip.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 66
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qGJ2G0BvCVhv"
      },
      "source": [
        "### **Normalizing the text spoken a little more to grab the most frequent words spoken by characters**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 618
        },
        "id": "-T4fsVSR7qrR",
        "outputId": "1301cbbd-c0ec-4ae9-f70f-afab70b04100"
      },
      "source": [
        "description_list=[]\n",
        "for description in scripts['normalized_text']:\n",
        "    description=re.sub(\"[^a-zA-Z]\", \" \", str(description))\n",
        "    description=description.lower()\n",
        "    description=nltk.word_tokenize(description)\n",
        "    description=[word for word in description if not word in set(stopwords.words(\"english\"))]\n",
        "    lemma=nltk.WordNetLemmatizer()\n",
        "    description=[lemma.lemmatize(word) for word in description]\n",
        "    description=\" \".join(description)\n",
        "    description_list.append(description)\n",
        "scripts[\"normalized_text_new\"]=description_list\n",
        "scripts.head()"
      ],
      "execution_count": 67,
      "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>id</th>\n",
              "      <th>episode_id</th>\n",
              "      <th>number</th>\n",
              "      <th>raw_text</th>\n",
              "      <th>speaking_line</th>\n",
              "      <th>character_id</th>\n",
              "      <th>location_id</th>\n",
              "      <th>raw_character_text</th>\n",
              "      <th>raw_location_text</th>\n",
              "      <th>spoken_words</th>\n",
              "      <th>normalized_text</th>\n",
              "      <th>totalwords</th>\n",
              "      <th>normalized_text_new</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>9549</td>\n",
              "      <td>32</td>\n",
              "      <td>209</td>\n",
              "      <td>Miss Hoover: No, actually, it was a little of ...</td>\n",
              "      <td>True</td>\n",
              "      <td>464</td>\n",
              "      <td>3.0</td>\n",
              "      <td>Miss Hoover</td>\n",
              "      <td>Springfield Elementary School</td>\n",
              "      <td>No, actually, it was a little of both. Sometim...</td>\n",
              "      <td>no actually it was a little of both sometimes ...</td>\n",
              "      <td>31.0</td>\n",
              "      <td>actually little sometimes disease magazine new...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>9550</td>\n",
              "      <td>32</td>\n",
              "      <td>210</td>\n",
              "      <td>Lisa Simpson: (NEAR TEARS) Where's Mr. Bergstrom?</td>\n",
              "      <td>True</td>\n",
              "      <td>9</td>\n",
              "      <td>3.0</td>\n",
              "      <td>Lisa Simpson</td>\n",
              "      <td>Springfield Elementary School</td>\n",
              "      <td>Where's Mr. Bergstrom?</td>\n",
              "      <td>wheres mr bergstrom</td>\n",
              "      <td>3.0</td>\n",
              "      <td>wheres mr bergstrom</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>9551</td>\n",
              "      <td>32</td>\n",
              "      <td>211</td>\n",
              "      <td>Miss Hoover: I don't know. Although I'd sure l...</td>\n",
              "      <td>True</td>\n",
              "      <td>464</td>\n",
              "      <td>3.0</td>\n",
              "      <td>Miss Hoover</td>\n",
              "      <td>Springfield Elementary School</td>\n",
              "      <td>I don't know. Although I'd sure like to talk t...</td>\n",
              "      <td>i dont know although id sure like to talk to h...</td>\n",
              "      <td>22.0</td>\n",
              "      <td>dont know although id sure like talk didnt tou...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>9552</td>\n",
              "      <td>32</td>\n",
              "      <td>212</td>\n",
              "      <td>Lisa Simpson: That life is worth living.</td>\n",
              "      <td>True</td>\n",
              "      <td>9</td>\n",
              "      <td>3.0</td>\n",
              "      <td>Lisa Simpson</td>\n",
              "      <td>Springfield Elementary School</td>\n",
              "      <td>That life is worth living.</td>\n",
              "      <td>that life is worth living</td>\n",
              "      <td>5.0</td>\n",
              "      <td>life worth living</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>9553</td>\n",
              "      <td>32</td>\n",
              "      <td>213</td>\n",
              "      <td>Edna Krabappel-Flanders: The polls will be ope...</td>\n",
              "      <td>True</td>\n",
              "      <td>40</td>\n",
              "      <td>3.0</td>\n",
              "      <td>Edna Krabappel-Flanders</td>\n",
              "      <td>Springfield Elementary School</td>\n",
              "      <td>The polls will be open from now until the end ...</td>\n",
              "      <td>the polls will be open from now until the end ...</td>\n",
              "      <td>33.0</td>\n",
              "      <td>poll open end recess case decided put thought ...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "     id  ...                                normalized_text_new\n",
              "0  9549  ...  actually little sometimes disease magazine new...\n",
              "1  9550  ...                                wheres mr bergstrom\n",
              "2  9551  ...  dont know although id sure like talk didnt tou...\n",
              "3  9552  ...                                  life worth living\n",
              "4  9553  ...  poll open end recess case decided put thought ...\n",
              "\n",
              "[5 rows x 13 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 67
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SGrnV8QDGuMc",
        "outputId": "91552a11-c655-4160-ba35-7daa7d95df98"
      },
      "source": [
        "y=scripts[\"location_id\"].unique()\n",
        "len(y)"
      ],
      "execution_count": 68,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "4460"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 68
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 622
        },
        "id": "EUCGgkkB8o4q",
        "outputId": "a5521a43-6766-4225-bf2e-e20ea4ebcce4"
      },
      "source": [
        "fig = plt.figure(figsize=(17,8))\n",
        "ax = fig.add_subplot(111)\n",
        "step = 5\n",
        "bin_range = np.arange(0, 120, step)\n",
        "out, bins  = pd.cut(scripts['totalwords'], bins=bin_range, include_lowest=True, right=False, retbins=True)\n",
        "out.value_counts(sort=False).plot.bar(color='#1414B4')\n",
        "plt.title('Line Length Counts', size=25)\n",
        "plt.tick_params(labelsize=16)\n",
        "plt.xlabel('Bins for Number of words in lines', size=20)\n",
        "plt.ylabel('Lines with that many words', size=20)"
      ],
      "execution_count": 69,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Lines with that many words')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 69
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1224x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MmCHa3SQAMBw",
        "outputId": "fb871e8c-8dd4-4264-eb93-e9aecc9f37fd"
      },
      "source": [
        "plt.close('all')\n",
        "print('average words per line :', round(scripts['totalwords'].mean(), 2))\n",
        "print('\\n')\n",
        "print('first episode featured: ', scripts.episode_id.min(), '     last episode featured: ', scripts.episode_id.max())\n",
        "print('\\n')\n",
        "print('lines with more than 100 words: ', scripts[scripts.totalwords >= 100].speaking_line.count())\n",
        "print('\\n')\n",
        "print('characters with more than 100 lines > AKA \"Who\\'s speaking for that long?\"')\n",
        "print(scripts[scripts.totalwords >= 100][['raw_character_text', 'episode_id']])"
      ],
      "execution_count": 70,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "average words per line : 9.89\n",
            "\n",
            "\n",
            "first episode featured:  1      last episode featured:  568\n",
            "\n",
            "\n",
            "lines with more than 100 words:  11\n",
            "\n",
            "\n",
            "characters with more than 100 lines > AKA \"Who's speaking for that long?\"\n",
            "       raw_character_text  episode_id\n",
            "6319              Singers          52\n",
            "13084      Grampa Simpson          76\n",
            "18231         James Woods          94\n",
            "18747       Kent Brockman          96\n",
            "42166       Homer Simpson         184\n",
            "69514         Moe Szyslak         274\n",
            "89997     David Silverman         347\n",
            "123992       Randy Newman         478\n",
            "125143    Ewell Freestone         482\n",
            "145638        SAMMY HAGAR         560\n",
            "151831      Homer Simpson          10\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 245
        },
        "id": "mfMjNciNAmfj",
        "outputId": "e2b155b8-7834-40a6-87f3-7d995d5f2488"
      },
      "source": [
        "sortscripts = scripts.groupby('episode_id').count()\n",
        "sortscripts.head()"
      ],
      "execution_count": 71,
      "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>id</th>\n",
              "      <th>number</th>\n",
              "      <th>raw_text</th>\n",
              "      <th>speaking_line</th>\n",
              "      <th>character_id</th>\n",
              "      <th>location_id</th>\n",
              "      <th>raw_character_text</th>\n",
              "      <th>raw_location_text</th>\n",
              "      <th>spoken_words</th>\n",
              "      <th>normalized_text</th>\n",
              "      <th>totalwords</th>\n",
              "      <th>normalized_text_new</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>episode_id</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>377</td>\n",
              "      <td>377</td>\n",
              "      <td>377</td>\n",
              "      <td>377</td>\n",
              "      <td>340</td>\n",
              "      <td>377</td>\n",
              "      <td>340</td>\n",
              "      <td>377</td>\n",
              "      <td>333</td>\n",
              "      <td>333</td>\n",
              "      <td>333</td>\n",
              "      <td>377</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>294</td>\n",
              "      <td>294</td>\n",
              "      <td>294</td>\n",
              "      <td>294</td>\n",
              "      <td>274</td>\n",
              "      <td>294</td>\n",
              "      <td>274</td>\n",
              "      <td>294</td>\n",
              "      <td>271</td>\n",
              "      <td>271</td>\n",
              "      <td>271</td>\n",
              "      <td>294</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>250</td>\n",
              "      <td>250</td>\n",
              "      <td>250</td>\n",
              "      <td>250</td>\n",
              "      <td>212</td>\n",
              "      <td>250</td>\n",
              "      <td>212</td>\n",
              "      <td>250</td>\n",
              "      <td>207</td>\n",
              "      <td>207</td>\n",
              "      <td>207</td>\n",
              "      <td>250</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>341</td>\n",
              "      <td>341</td>\n",
              "      <td>341</td>\n",
              "      <td>341</td>\n",
              "      <td>309</td>\n",
              "      <td>341</td>\n",
              "      <td>309</td>\n",
              "      <td>341</td>\n",
              "      <td>304</td>\n",
              "      <td>304</td>\n",
              "      <td>304</td>\n",
              "      <td>341</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>323</td>\n",
              "      <td>323</td>\n",
              "      <td>323</td>\n",
              "      <td>323</td>\n",
              "      <td>289</td>\n",
              "      <td>323</td>\n",
              "      <td>289</td>\n",
              "      <td>323</td>\n",
              "      <td>283</td>\n",
              "      <td>283</td>\n",
              "      <td>283</td>\n",
              "      <td>323</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             id  number  ...  totalwords  normalized_text_new\n",
              "episode_id               ...                                 \n",
              "1           377     377  ...         333                  377\n",
              "2           294     294  ...         271                  294\n",
              "3           250     250  ...         207                  250\n",
              "4           341     341  ...         304                  341\n",
              "5           323     323  ...         283                  323\n",
              "\n",
              "[5 rows x 12 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 71
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 536
        },
        "id": "5rgT6UQjBT7r",
        "outputId": "b10cf92f-8a7f-465e-e7e6-5df23a8dda1f"
      },
      "source": [
        "fig = plt.figure(figsize=(18, 8))\n",
        "ax = fig.add_subplot(111)\n",
        "ax.plot(sortscripts.speaking_line, color='#1414B4')\n",
        "ax.set_title('Lines Per Episode', size=25)\n",
        "ax.tick_params(labelsize=16)\n",
        "ax.set_xlabel('Episode ID', size=20)\n",
        "ax.set_ylabel('Lines in Episode', size=20)\n",
        "plt.show()"
      ],
      "execution_count": 72,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1296x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "t8Z3QWglCrtT"
      },
      "source": [
        " **A plot to find out the number of lines spoken in all by all characters inclusive per episode**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "05AkRXOgBqh-",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "6c73e097-5d78-437a-ae64-f3675cdfaca3"
      },
      "source": [
        "for i,row in scripts.iterrows():\n",
        "    print(row['character_id'],row['raw_character_text'])"
      ],
      "execution_count": 73,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "14 Waylon Smithers\n",
            "2 Homer Simpson\n",
            "256 Karl\n",
            "2 Homer Simpson\n",
            "256 Karl\n",
            "2 Homer Simpson\n",
            "256 Karl\n",
            "2 Homer Simpson\n",
            "256 Karl\n",
            "2 Homer Simpson\n",
            "256 Karl\n",
            "2 Homer Simpson\n",
            "256 Karl\n",
            "2 Homer Simpson\n",
            "256 Karl\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "15 C. Montgomery Burns\n",
            "14 Waylon Smithers\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "14 Waylon Smithers\n",
            "14 Waylon Smithers\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "nan nan\n",
            "260 Moving Man\n",
            "2 Homer Simpson\n",
            "260 Moving Man\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "261 House\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "261 House\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "261 House\n",
            "8 Bart Simpson\n",
            "261 House\n",
            "nan nan\n",
            "261 House\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "nan nan\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "261 House\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "261 House\n",
            "1 Marge Simpson\n",
            "261 House\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "261 House\n",
            "8 Bart Simpson\n",
            "261 House\n",
            "8 Bart Simpson\n",
            "261 House\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "261 House\n",
            "1 Marge Simpson\n",
            "261 House\n",
            "1 Marge Simpson\n",
            "261 House\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "261 House\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "262 Kang\n",
            "1 Marge Simpson\n",
            "262 Kang\n",
            "8 Bart Simpson\n",
            "262 Kang\n",
            "9 Lisa Simpson\n",
            "263 Serak The Preparer\n",
            "2 Homer Simpson\n",
            "263 Serak The Preparer\n",
            "1 Marge Simpson\n",
            "263 Serak The Preparer\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "262 Kang\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "263 Serak The Preparer\n",
            "2 Homer Simpson\n",
            "262 Kang\n",
            "262 Kang\n",
            "262 Kang\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "262 Kang\n",
            "264 Kodos\n",
            "264 Kodos\n",
            "1 Marge Simpson\n",
            "264 Kodos\n",
            "9 Lisa Simpson\n",
            "262 Kang\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "262 Kang\n",
            "2 Homer Simpson\n",
            "262 Kang\n",
            "263 Serak The Preparer\n",
            "nan nan\n",
            "262 Kang\n",
            "262 Kang\n",
            "nan nan\n",
            "263 Serak The Preparer\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "9 Lisa Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "262 Kang\n",
            "2 Homer Simpson\n",
            "262 Kang\n",
            "2 Homer Simpson\n",
            "262 Kang\n",
            "9 Lisa Simpson\n",
            "262 Kang\n",
            "262 Kang\n",
            "264 Kodos\n",
            "262 Kang\n",
            "264 Kodos\n",
            "9 Lisa Simpson\n",
            "262 Kang\n",
            "263 Serak The Preparer\n",
            "262 Kang\n",
            "263 Serak The Preparer\n",
            "nan nan\n",
            "262 Kang\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "9 Lisa Simpson\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "9 Lisa Simpson\n",
            "265 V.O.\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "265 V.O.\n",
            "2 Homer Simpson\n",
            "265 V.O.\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "265 V.O.\n",
            "265 V.O.\n",
            "2 Homer Simpson\n",
            "265 V.O.\n",
            "2 Homer Simpson\n",
            "265 V.O.\n",
            "2 Homer Simpson\n",
            "265 V.O.\n",
            "2 Homer Simpson\n",
            "265 V.O.\n",
            "2 Homer Simpson\n",
            "265 V.O.\n",
            "8 Bart Simpson\n",
            "265 V.O.\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "265 V.O.\n",
            "2 Homer Simpson\n",
            "265 V.O.\n",
            "2 Homer Simpson\n",
            "268 Chief Inspector\n",
            "nan nan\n",
            "265 V.O.\n",
            "2 Homer Simpson\n",
            "265 V.O.\n",
            "2 Homer Simpson\n",
            "265 V.O.\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "265 V.O.\n",
            "2 Homer Simpson\n",
            "265 V.O.\n",
            "2 Homer Simpson\n",
            "265 V.O.\n",
            "2 Homer Simpson\n",
            "265 V.O.\n",
            "266 Raven\n",
            "2 Homer Simpson\n",
            "265 V.O.\n",
            "2 Homer Simpson\n",
            "265 V.O.\n",
            "266 Raven\n",
            "2 Homer Simpson\n",
            "265 V.O.\n",
            "266 Raven\n",
            "2 Homer Simpson\n",
            "266 Raven\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "265 V.O.\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "nan nan\n",
            "nan nan\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "267 Dave Shutton\n",
            "9 Lisa Simpson\n",
            "267 Dave Shutton\n",
            "9 Lisa Simpson\n",
            "267 Dave Shutton\n",
            "8 Bart Simpson\n",
            "267 Dave Shutton\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "267 Dave Shutton\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "nan nan\n",
            "14 Waylon Smithers\n",
            "14 Waylon Smithers\n",
            "15 C. Montgomery Burns\n",
            "268 Chief Inspector\n",
            "15 C. Montgomery Burns\n",
            "268 Chief Inspector\n",
            "nan nan\n",
            "268 Chief Inspector\n",
            "15 C. Montgomery Burns\n",
            "nan nan\n",
            "268 Chief Inspector\n",
            "15 C. Montgomery Burns\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "268 Chief Inspector\n",
            "nan nan\n",
            "15 C. Montgomery Burns\n",
            "nan nan\n",
            "nan nan\n",
            "15 C. Montgomery Burns\n",
            "15 C. Montgomery Burns\n",
            "268 Chief Inspector\n",
            "15 C. Montgomery Burns\n",
            "15 C. Montgomery Burns\n",
            "268 Chief Inspector\n",
            "15 C. Montgomery Burns\n",
            "14 Waylon Smithers\n",
            "15 C. Montgomery Burns\n",
            "14 Waylon Smithers\n",
            "15 C. Montgomery Burns\n",
            "15 C. Montgomery Burns\n",
            "nan nan\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "269 Dean Danielson\n",
            "15 C. Montgomery Burns\n",
            "269 Dean Danielson\n",
            "15 C. Montgomery Burns\n",
            "269 Dean Danielson\n",
            "15 C. Montgomery Burns\n",
            "269 Dean Danielson\n",
            "15 C. Montgomery Burns\n",
            "269 Dean Danielson\n",
            "15 C. Montgomery Burns\n",
            "269 Dean Danielson\n",
            "270 DANIELSON\n",
            "15 C. Montgomery Burns\n",
            "270 DANIELSON\n",
            "15 C. Montgomery Burns\n",
            "270 DANIELSON\n",
            "15 C. Montgomery Burns\n",
            "271 DANEILSON\n",
            "15 C. Montgomery Burns\n",
            "271 DANEILSON\n",
            "15 C. Montgomery Burns\n",
            "270 DANIELSON\n",
            "15 C. Montgomery Burns\n",
            "270 DANIELSON\n",
            "15 C. Montgomery Burns\n",
            "270 DANIELSON\n",
            "15 C. Montgomery Burns\n",
            "nan nan\n",
            "272 TV Announcer\n",
            "31 Grampa Simpson\n",
            "273 Jasper Beardly\n",
            "31 Grampa Simpson\n",
            "274 OLD BEARDED GUY\n",
            "31 Grampa Simpson\n",
            "nan nan\n",
            "18 Barney Gumble\n",
            "17 Moe Szyslak\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "14 Waylon Smithers\n",
            "270 DANIELSON\n",
            "15 C. Montgomery Burns\n",
            "270 DANIELSON\n",
            "15 C. Montgomery Burns\n",
            "270 DANIELSON\n",
            "15 C. Montgomery Burns\n",
            "270 DANIELSON\n",
            "15 C. Montgomery Burns\n",
            "15 C. Montgomery Burns\n",
            "nan nan\n",
            "nan nan\n",
            "nan nan\n",
            "nan nan\n",
            "15 C. Montgomery Burns\n",
            "15 C. Montgomery Burns\n",
            "275 Charles Darwin\n",
            "15 C. Montgomery Burns\n",
            "275 Charles Darwin\n",
            "15 C. Montgomery Burns\n",
            "275 Charles Darwin\n",
            "15 C. Montgomery Burns\n",
            "15 C. Montgomery Burns\n",
            "276 Singers\n",
            "nan nan\n",
            "18 Barney Gumble\n",
            "17 Moe Szyslak\n",
            "nan nan\n",
            "31 Grampa Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "270 DANIELSON\n",
            "15 C. Montgomery Burns\n",
            "270 DANIELSON\n",
            "277 MARY BAILEY\n",
            "15 C. Montgomery Burns\n",
            "15 C. Montgomery Burns\n",
            "278 Investigator #1\n",
            "279 Investigator #2\n",
            "278 Investigator #1\n",
            "15 C. Montgomery Burns\n",
            "280 Investigator #3\n",
            "15 C. Montgomery Burns\n",
            "15 C. Montgomery Burns\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "270 DANIELSON\n",
            "15 C. Montgomery Burns\n",
            "270 DANIELSON\n",
            "15 C. Montgomery Burns\n",
            "270 DANIELSON\n",
            "15 C. Montgomery Burns\n",
            "270 DANIELSON\n",
            "15 C. Montgomery Burns\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "270 DANIELSON\n",
            "9 Lisa Simpson\n",
            "270 DANIELSON\n",
            "9 Lisa Simpson\n",
            "270 DANIELSON\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "270 DANIELSON\n",
            "nan nan\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "281 Make-up Man\n",
            "2 Homer Simpson\n",
            "270 DANIELSON\n",
            "282 Gregor\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "nan nan\n",
            "270 DANIELSON\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "270 DANIELSON\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "15 C. Montgomery Burns\n",
            "9 Lisa Simpson\n",
            "15 C. Montgomery Burns\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "15 C. Montgomery Burns\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "270 DANIELSON\n",
            "130 Reporter #1\n",
            "131 Reporter #2\n",
            "210 Scott Christian\n",
            "15 C. Montgomery Burns\n",
            "270 DANIELSON\n",
            "15 C. Montgomery Burns\n",
            "15 C. Montgomery Burns\n",
            "14 Waylon Smithers\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "9 Lisa Simpson\n",
            "15 C. Montgomery Burns\n",
            "15 C. Montgomery Burns\n",
            "14 Waylon Smithers\n",
            "15 C. Montgomery Burns\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "18 Barney Gumble\n",
            "2 Homer Simpson\n",
            "17 Moe Szyslak\n",
            "2 Homer Simpson\n",
            "18 Barney Gumble\n",
            "17 Moe Szyslak\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "52 Otto Mann\n",
            "nan nan\n",
            "292 Man On Bus\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "15 C. Montgomery Burns\n",
            "283 GAMMILL\n",
            "15 C. Montgomery Burns\n",
            "15 C. Montgomery Burns\n",
            "14 Waylon Smithers\n",
            "14 Waylon Smithers\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "14 Waylon Smithers\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "284 FLASH\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "285 Player #1\n",
            "284 FLASH\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "286 P.A. Announcer\n",
            "14 Waylon Smithers\n",
            "15 C. Montgomery Burns\n",
            "14 Waylon Smithers\n",
            "8 Bart Simpson\n",
            "14 Waylon Smithers\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "286 P.A. Announcer\n",
            "288 Dan Hoard\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "14 Waylon Smithers\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "289 Vendor\n",
            "289 Vendor\n",
            "289 Vendor\n",
            "289 Vendor\n",
            "289 Vendor\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "290 VENDER\n",
            "nan nan\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "288 Dan Hoard\n",
            "15 C. Montgomery Burns\n",
            "288 Dan Hoard\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "288 Dan Hoard\n",
            "288 Dan Hoard\n",
            "288 Dan Hoard\n",
            "14 Waylon Smithers\n",
            "15 C. Montgomery Burns\n",
            "14 Waylon Smithers\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "291 MR. O'HARA\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "288 Dan Hoard\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "293 Player #2\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "294 Rasta #1\n",
            "295 Rasta #2\n",
            "nan nan\n",
            "288 Dan Hoard\n",
            "288 Dan Hoard\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "291 MR. O'HARA\n",
            "2 Homer Simpson\n",
            "291 MR. O'HARA\n",
            "2 Homer Simpson\n",
            "291 MR. O'HARA\n",
            "2 Homer Simpson\n",
            "291 MR. O'HARA\n",
            "2 Homer Simpson\n",
            "291 MR. O'HARA\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "296 Supervisor\n",
            "nan nan\n",
            "122 NED\n",
            "2 Homer Simpson\n",
            "122 NED\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "25 Milhouse Van Houten\n",
            "8 Bart Simpson\n",
            "25 Milhouse Van Houten\n",
            "25 Milhouse Van Houten\n",
            "8 Bart Simpson\n",
            "25 Milhouse Van Houten\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "10 Patty Bouvier\n",
            "22 Selma Bouvier\n",
            "10 Patty Bouvier\n",
            "10 Patty Bouvier\n",
            "22 Selma Bouvier\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "297 Tony Bennett\n",
            "297 Tony Bennett\n",
            "1 Marge Simpson\n",
            "297 Tony Bennett\n",
            "2 Homer Simpson\n",
            "297 Tony Bennett\n",
            "9 Lisa Simpson\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "298 Capital City Goofball\n",
            "nan nan\n",
            "298 Capital City Goofball\n",
            "2 Homer Simpson\n",
            "298 Capital City Goofball\n",
            "2 Homer Simpson\n",
            "298 Capital City Goofball\n",
            "2 Homer Simpson\n",
            "298 Capital City Goofball\n",
            "nan nan\n",
            "299 Dave Glass\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "300 First Wife #3\n",
            "301 First Wife #1\n",
            "300 First Wife #3\n",
            "2 Homer Simpson\n",
            "302 Hot Dog Man\n",
            "2 Homer Simpson\n",
            "33 Announcer\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "303 Spectator #1\n",
            "304 Spectator #2\n",
            "305 Spectator #3\n",
            "2 Homer Simpson\n",
            "306 Clubhouse Attendant\n",
            "307 Dave Rosenfield\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "352 BURNS LAWYER\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "18 Barney Gumble\n",
            "17 Moe Szyslak\n",
            "2 Homer Simpson\n",
            "18 Barney Gumble\n",
            "17 Moe Szyslak\n",
            "2 Homer Simpson\n",
            "17 Moe Szyslak\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "308 Maude Flanders\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "5 Todd Flanders\n",
            "11 Ned Flanders\n",
            "5 Todd Flanders\n",
            "11 Ned Flanders\n",
            "5 Todd Flanders\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "308 Maude Flanders\n",
            "11 Ned Flanders\n",
            "308 Maude Flanders\n",
            "11 Ned Flanders\n",
            "308 Maude Flanders\n",
            "11 Ned Flanders\n",
            "308 Maude Flanders\n",
            "122 NED\n",
            "11 Ned Flanders\n",
            "nan nan\n",
            "309 Helen Lovejoy\n",
            "140 Rev. Timothy Lovejoy\n",
            "11 Ned Flanders\n",
            "11 Ned Flanders\n",
            "140 Rev. Timothy Lovejoy\n",
            "11 Ned Flanders\n",
            "140 Rev. Timothy Lovejoy\n",
            "11 Ned Flanders\n",
            "11 Ned Flanders\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "5 Todd Flanders\n",
            "8 Bart Simpson\n",
            "11 Ned Flanders\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "5 Todd Flanders\n",
            "5 Todd Flanders\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "5 Todd Flanders\n",
            "5 Todd Flanders\n",
            "8 Bart Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "5 Todd Flanders\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "9 Lisa Simpson\n",
            "nan nan\n",
            "310 Librarian\n",
            "9 Lisa Simpson\n",
            "311 Man\n",
            "9 Lisa Simpson\n",
            "312 SENIOR CITIZENS\n",
            "9 Lisa Simpson\n",
            "9 Lisa Simpson\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "11 Ned Flanders\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "11 Ned Flanders\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "313 British Commentator\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "313 British Commentator\n",
            "313 British Commentator\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "313 British Commentator\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "nan nan\n",
            "313 British Commentator\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "313 British Commentator\n",
            "8 Bart Simpson\n",
            "5 Todd Flanders\n",
            "8 Bart Simpson\n",
            "5 Todd Flanders\n",
            "5 Todd Flanders\n",
            "8 Bart Simpson\n",
            "313 British Commentator\n",
            "313 British Commentator\n",
            "8 Bart Simpson\n",
            "5 Todd Flanders\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "10 Patty Bouvier\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "238 Marty\n",
            "2 Homer Simpson\n",
            "239 Bill\n",
            "238 Marty\n",
            "239 Bill\n",
            "238 Marty\n",
            "239 Bill\n",
            "238 Marty\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "22 Selma Bouvier\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "105 Maggie Simpson\n",
            "9 Lisa Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "141 Announcer #1\n",
            "314 Announcer #2\n",
            "141 Announcer #1\n",
            "314 Announcer #2\n",
            "33 ANNOUNCER #\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "10 Patty Bouvier\n",
            "22 Selma Bouvier\n",
            "1 Marge Simpson\n",
            "10 Patty Bouvier\n",
            "22 Selma Bouvier\n",
            "10 Patty Bouvier\n",
            "22 Selma Bouvier\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "22 Selma Bouvier\n",
            "10 Patty Bouvier\n",
            "nan nan\n",
            "223 Radio Announcer\n",
            "2 Homer Simpson\n",
            "223 Radio Announcer\n",
            "nan nan\n",
            "nan nan\n",
            "296 Supervisor\n",
            "296 Supervisor\n",
            "315 Mrs. Spencer\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "112 Jacqueline Bouvier\n",
            "318 Rory\n",
            "33 Announcer\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "22 Selma Bouvier\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "10 Patty Bouvier\n",
            "112 Jacqueline Bouvier\n",
            "22 Selma Bouvier\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "9 Lisa Simpson\n",
            "31 Grampa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "10 Patty Bouvier\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "15 C. Montgomery Burns\n",
            "14 Waylon Smithers\n",
            "nan nan\n",
            "318 Rory\n",
            "15 C. Montgomery Burns\n",
            "14 Waylon Smithers\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "316 Security Guard #1\n",
            "nan nan\n",
            "316 Security Guard #1\n",
            "15 C. Montgomery Burns\n",
            "nan nan\n",
            "nan nan\n",
            "nan nan\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "237 Nurse\n",
            "8 Bart Simpson\n",
            "237 Nurse\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "112 Jacqueline Bouvier\n",
            "22 Selma Bouvier\n",
            "10 Patty Bouvier\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "317 Casey\n",
            "318 Rory\n",
            "317 Casey\n",
            "1962 Platoon\n",
            "8 Bart Simpson\n",
            "317 Casey\n",
            "211 Kent Brockman\n",
            "319 Transient\n",
            "211 Kent Brockman\n",
            "nan nan\n",
            "211 Kent Brockman\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "211 Kent Brockman\n",
            "8 Bart Simpson\n",
            "211 Kent Brockman\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "211 Kent Brockman\n",
            "317 Casey\n",
            "317 Casey\n",
            "8 Bart Simpson\n",
            "317 Casey\n",
            "8 Bart Simpson\n",
            "319 Transient\n",
            "8 Bart Simpson\n",
            "318 Rory\n",
            "317 Casey\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "90 Eddie\n",
            "91 Lou\n",
            "2 Homer Simpson\n",
            "91 Lou\n",
            "1 Marge Simpson\n",
            "90 Eddie\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "10 Patty Bouvier\n",
            "22 Selma Bouvier\n",
            "112 Jacqueline Bouvier\n",
            "31 Grampa Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "31 Grampa Simpson\n",
            "8 Bart Simpson\n",
            "105 Maggie Simpson\n",
            "320 Uncle Sam\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "18 Barney Gumble\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "272 TV Announcer\n",
            "272 TV Announcer\n",
            "25 Milhouse Van Houten\n",
            "9 Lisa Simpson\n",
            "272 TV Announcer\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "17 Moe Szyslak\n",
            "18 Barney Gumble\n",
            "nan nan\n",
            "272 TV Announcer\n",
            "8 Bart Simpson\n",
            "25 Milhouse Van Houten\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "51 Richard\n",
            "321 Audience\n",
            "114 Barflies\n",
            "272 TV Announcer\n",
            "272 TV Announcer\n",
            "nan nan\n",
            "322 Tv Voice #1\n",
            "322 Tv Voice #1\n",
            "323 Tv Voice #2\n",
            "324 Tv Voice #3\n",
            "322 Tv Voice #1\n",
            "323 Tv Voice #2\n",
            "322 Tv Voice #1\n",
            "323 Tv Voice #2\n",
            "324 Tv Voice #3\n",
            "325 ALL THREE TV VOICES\n",
            "322 Tv Voice #1\n",
            "323 Tv Voice #2\n",
            "324 Tv Voice #3\n",
            "322 Tv Voice #1\n",
            "326 ALL 3 ANNOUNCERS\n",
            "66 Tv Announcer #2\n",
            "2 Homer Simpson\n",
            "322 Tv Voice #1\n",
            "323 Tv Voice #2\n",
            "324 Tv Voice #3\n",
            "322 Tv Voice #1\n",
            "323 Tv Voice #2\n",
            "324 Tv Voice #3\n",
            "nan nan\n",
            "nan nan\n",
            "nan nan\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "3 Seymour Skinner\n",
            "2 Homer Simpson\n",
            "3 Seymour Skinner\n",
            "2 Homer Simpson\n",
            "327 LARGO\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "121 Rod Flanders\n",
            "11 Ned Flanders\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "nan nan\n",
            "nan nan\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "328 SCRAPER\n",
            "1 Marge Simpson\n",
            "329 CLARK\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "33 Announcer\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "330 Track Announcer\n",
            "1 Marge Simpson\n",
            "332 Dr. Julius Hibbert\n",
            "nan nan\n",
            "52 Otto Mann\n",
            "75 Crowd\n",
            "331 MURDOCK\n",
            "331 MURDOCK\n",
            "331 MURDOCK\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "330 Track Announcer\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "33 Announcer\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "25 Milhouse Van Houten\n",
            "51 Richard\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "26 Lewis Clark\n",
            "51 Richard\n",
            "25 Milhouse Van Houten\n",
            "nan nan\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "332 Dr. Julius Hibbert\n",
            "8 Bart Simpson\n",
            "332 Dr. Julius Hibbert\n",
            "nan nan\n",
            "332 Dr. Julius Hibbert\n",
            "332 Dr. Julius Hibbert\n",
            "332 Dr. Julius Hibbert\n",
            "1 Marge Simpson\n",
            "332 Dr. Julius Hibbert\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "332 Dr. Julius Hibbert\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "nan nan\n",
            "25 Milhouse Van Houten\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "nan nan\n",
            "52 Otto Mann\n",
            "25 Milhouse Van Houten\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "333 SMYTHE\n",
            "8 Bart Simpson\n",
            "52 Otto Mann\n",
            "8 Bart Simpson\n",
            "52 Otto Mann\n",
            "8 Bart Simpson\n",
            "52 Otto Mann\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "52 Otto Mann\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "332 Dr. Julius Hibbert\n",
            "332 Dr. Julius Hibbert\n",
            "8 Bart Simpson\n",
            "331 MURDOCK\n",
            "332 Dr. Julius Hibbert\n",
            "331 MURDOCK\n",
            "331 MURDOCK\n",
            "8 Bart Simpson\n",
            "331 MURDOCK\n",
            "8 Bart Simpson\n",
            "331 MURDOCK\n",
            "9 Lisa Simpson\n",
            "331 MURDOCK\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "331 MURDOCK\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "331 MURDOCK\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "101 Nelson Muntz\n",
            "25 Milhouse Van Houten\n",
            "101 Nelson Muntz\n",
            "4 JANEY\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "139 Krusty the Clown\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "334 Itchy & Scratchy Singers\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "101 Nelson Muntz\n",
            "8 Bart Simpson\n",
            "25 Milhouse Van Houten\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "nan nan\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "139 Krusty the Clown\n",
            "nan nan\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "335 Roger Meyers, Jr.\n",
            "335 Roger Meyers, Jr.\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "308 Maude Flanders\n",
            "1 Marge Simpson\n",
            "308 Maude Flanders\n",
            "1 Marge Simpson\n",
            "308 Maude Flanders\n",
            "1 Marge Simpson\n",
            "308 Maude Flanders\n",
            "1 Marge Simpson\n",
            "308 Maude Flanders\n",
            "1 Marge Simpson\n",
            "308 Maude Flanders\n",
            "1 Marge Simpson\n",
            "308 Maude Flanders\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "139 Krusty the Clown\n",
            "139 Krusty the Clown\n",
            "139 Krusty the Clown\n",
            "1 Marge Simpson\n",
            "336 Her Group\n",
            "1 Marge Simpson\n",
            "336 Her Group\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "335 Roger Meyers, Jr.\n",
            "337 Animator\n",
            "338 1ST BOARD MEMBER\n",
            "339 2nd Board Member\n",
            "335 Roger Meyers, Jr.\n",
            "nan nan\n",
            "337 Animator\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "340 Squirrel\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "314 Announcer #2\n",
            "9 Lisa Simpson\n",
            "nan nan\n",
            "335 Roger Meyers, Jr.\n",
            "139 Krusty the Clown\n",
            "96 Dr. Marvin Monroe\n",
            "8 Bart Simpson\n",
            "335 Roger Meyers, Jr.\n",
            "1 Marge Simpson\n",
            "335 Roger Meyers, Jr.\n",
            "1 Marge Simpson\n",
            "335 Roger Meyers, Jr.\n",
            "335 Roger Meyers, Jr.\n",
            "335 Roger Meyers, Jr.\n",
            "1 Marge Simpson\n",
            "96 Dr. Marvin Monroe\n",
            "96 Dr. Marvin Monroe\n",
            "139 Krusty the Clown\n",
            "139 Krusty the Clown\n",
            "139 Krusty the Clown\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "335 Roger Meyers, Jr.\n",
            "335 Roger Meyers, Jr.\n",
            "335 Roger Meyers, Jr.\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "335 Roger Meyers, Jr.\n",
            "1 Marge Simpson\n",
            "335 Roger Meyers, Jr.\n",
            "1 Marge Simpson\n",
            "335 Roger Meyers, Jr.\n",
            "1 Marge Simpson\n",
            "335 Roger Meyers, Jr.\n",
            "337 Animator\n",
            "335 Roger Meyers, Jr.\n",
            "1 Marge Simpson\n",
            "335 Roger Meyers, Jr.\n",
            "1 Marge Simpson\n",
            "335 Roger Meyers, Jr.\n",
            "1 Marge Simpson\n",
            "335 Roger Meyers, Jr.\n",
            "nan nan\n",
            "33 Announcer\n",
            "8 Bart Simpson\n",
            "33 Announcer\n",
            "2 Homer Simpson\n",
            "33 Announcer\n",
            "2 Homer Simpson\n",
            "33 Announcer\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "139 Krusty the Clown\n",
            "334 Itchy & Scratchy Singers\n",
            "342 Scratchy\n",
            "343 Itchy\n",
            "342 Scratchy\n",
            "343 Itchy\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "343 Itchy\n",
            "342 Scratchy\n",
            "343 Itchy\n",
            "342 Scratchy\n",
            "139 Krusty the Clown\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "nan nan\n",
            "nan nan\n",
            "342 Scratchy\n",
            "nan nan\n",
            "139 Krusty the Clown\n",
            "139 Krusty the Clown\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "344 Curator\n",
            "345 Reporter\n",
            "344 Curator\n",
            "345 Reporter\n",
            "344 Curator\n",
            "345 Reporter\n",
            "344 Curator\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "309 Helen Lovejoy\n",
            "1 Marge Simpson\n",
            "309 Helen Lovejoy\n",
            "1 Marge Simpson\n",
            "309 Helen Lovejoy\n",
            "308 Maude Flanders\n",
            "nan nan\n",
            "344 Curator\n",
            "309 Helen Lovejoy\n",
            "314 Announcer #2\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "96 Dr. Marvin Monroe\n",
            "1 Marge Simpson\n",
            "211 Kent Brockman\n",
            "1 Marge Simpson\n",
            "96 Dr. Marvin Monroe\n",
            "1 Marge Simpson\n",
            "211 Kent Brockman\n",
            "nan nan\n",
            "nan nan\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "14 Waylon Smithers\n",
            "15 C. Montgomery Burns\n",
            "14 Waylon Smithers\n",
            "15 C. Montgomery Burns\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "342 Scratchy\n",
            "23 Voice\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "23 Voice\n",
            "8 Bart Simpson\n",
            "23 Voice\n",
            "23 Voice\n",
            "346 Devil\n",
            "8 Bart Simpson\n",
            "346 Devil\n",
            "8 Bart Simpson\n",
            "346 Devil\n",
            "346 Devil\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "346 Devil\n",
            "8 Bart Simpson\n",
            "346 Devil\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "347 Lionel Hutz\n",
            "347 Lionel Hutz\n",
            "2 Homer Simpson\n",
            "347 Lionel Hutz\n",
            "342 Scratchy\n",
            "2 Homer Simpson\n",
            "347 Lionel Hutz\n",
            "347 Lionel Hutz\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "347 Lionel Hutz\n",
            "1 Marge Simpson\n",
            "347 Lionel Hutz\n",
            "347 Lionel Hutz\n",
            "9 Lisa Simpson\n",
            "332 Dr. Julius Hibbert\n",
            "8 Bart Simpson\n",
            "332 Dr. Julius Hibbert\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "332 Dr. Julius Hibbert\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "165 Lenny Leonard\n",
            "2 Homer Simpson\n",
            "14 Waylon Smithers\n",
            "2 Homer Simpson\n",
            "14 Waylon Smithers\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "nan nan\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "nan nan\n",
            "347 Lionel Hutz\n",
            "348 Della\n",
            "348 Della\n",
            "347 Lionel Hutz\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "347 Lionel Hutz\n",
            "347 Lionel Hutz\n",
            "2 Homer Simpson\n",
            "347 Lionel Hutz\n",
            "2 Homer Simpson\n",
            "347 Lionel Hutz\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "214 Judge Snyder\n",
            "347 Lionel Hutz\n",
            "349 Dr. Nick Riviera\n",
            "1 Marge Simpson\n",
            "349 Dr. Nick Riviera\n",
            "349 Dr. Nick Riviera\n",
            "2 Homer Simpson\n",
            "349 Dr. Nick Riviera\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "347 Lionel Hutz\n",
            "349 Dr. Nick Riviera\n",
            "347 Lionel Hutz\n",
            "349 Dr. Nick Riviera\n",
            "nan nan\n",
            "15 C. Montgomery Burns\n",
            "14 Waylon Smithers\n",
            "15 C. Montgomery Burns\n",
            "14 Waylon Smithers\n",
            "347 Lionel Hutz\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "14 Waylon Smithers\n",
            "nan nan\n",
            "347 Lionel Hutz\n",
            "8 Bart Simpson\n",
            "347 Lionel Hutz\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "347 Lionel Hutz\n",
            "8 Bart Simpson\n",
            "347 Lionel Hutz\n",
            "nan nan\n",
            "350 Bailiff\n",
            "351 Blue-Haired Lawyer\n",
            "15 C. Montgomery Burns\n",
            "214 Judge Snyder\n",
            "15 C. Montgomery Burns\n",
            "214 Judge Snyder\n",
            "350 Bailiff\n",
            "15 C. Montgomery Burns\n",
            "214 Judge Snyder\n",
            "8 Bart Simpson\n",
            "214 Judge Snyder\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "nan nan\n",
            "14 Waylon Smithers\n",
            "15 C. Montgomery Burns\n",
            "nan nan\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "15 C. Montgomery Burns\n",
            "347 Lionel Hutz\n",
            "9 Lisa Simpson\n",
            "351 Blue-Haired Lawyer\n",
            "15 C. Montgomery Burns\n",
            "nan nan\n",
            "15 C. Montgomery Burns\n",
            "8 Bart Simpson\n",
            "15 C. Montgomery Burns\n",
            "14 Waylon Smithers\n",
            "15 C. Montgomery Burns\n",
            "15 C. Montgomery Burns\n",
            "nan nan\n",
            "15 C. Montgomery Burns\n",
            "15 C. Montgomery Burns\n",
            "347 Lionel Hutz\n",
            "nan nan\n",
            "15 C. Montgomery Burns\n",
            "nan nan\n",
            "15 C. Montgomery Burns\n",
            "15 C. Montgomery Burns\n",
            "1 Marge Simpson\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "15 C. Montgomery Burns\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "15 C. Montgomery Burns\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "15 C. Montgomery Burns\n",
            "1 Marge Simpson\n",
            "362 Smitty\n",
            "15 C. Montgomery Burns\n",
            "15 C. Montgomery Burns\n",
            "nan nan\n",
            "351 Blue-Haired Lawyer\n",
            "1 Marge Simpson\n",
            "350 Bailiff\n",
            "1 Marge Simpson\n",
            "347 Lionel Hutz\n",
            "2 Homer Simpson\n",
            "351 Blue-Haired Lawyer\n",
            "1 Marge Simpson\n",
            "351 Blue-Haired Lawyer\n",
            "1 Marge Simpson\n",
            "351 Blue-Haired Lawyer\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "347 Lionel Hutz\n",
            "351 Blue-Haired Lawyer\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "351 Blue-Haired Lawyer\n",
            "1 Marge Simpson\n",
            "352 BURNS LAWYER\n",
            "1 Marge Simpson\n",
            "352 BURNS LAWYER\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "352 BURNS LAWYER\n",
            "1 Marge Simpson\n",
            "352 BURNS LAWYER\n",
            "1 Marge Simpson\n",
            "351 Blue-Haired Lawyer\n",
            "1 Marge Simpson\n",
            "352 BURNS LAWYER\n",
            "1 Marge Simpson\n",
            "351 Blue-Haired Lawyer\n",
            "1 Marge Simpson\n",
            "351 Blue-Haired Lawyer\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "15 C. Montgomery Burns\n",
            "347 Lionel Hutz\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "17 Moe Szyslak\n",
            "2 Homer Simpson\n",
            "353 Larry\n",
            "17 Moe Szyslak\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "409 Senator Mendoza\n",
            "2 Homer Simpson\n",
            "17 Moe Szyslak\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "354 Sushi Bar Chefs\n",
            "355 Hostess\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "355 Hostess\n",
            "nan nan\n",
            "356 Akira\n",
            "1 Marge Simpson\n",
            "356 Akira\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "356 Akira\n",
            "8 Bart Simpson\n",
            "356 Akira\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "357 Toshiro\n",
            "358 Master\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "359 Richie Sakai\n",
            "359 Richie Sakai\n",
            "2 Homer Simpson\n",
            "356 Akira\n",
            "2 Homer Simpson\n",
            "356 Akira\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "356 Akira\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "358 Master\n",
            "356 Akira\n",
            "357 Toshiro\n",
            "356 Akira\n",
            "357 Toshiro\n",
            "358 Master\n",
            "357 Toshiro\n",
            "358 Master\n",
            "357 Toshiro\n",
            "358 Master\n",
            "357 Toshiro\n",
            "357 Toshiro\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "357 Toshiro\n",
            "2 Homer Simpson\n",
            "357 Toshiro\n",
            "2 Homer Simpson\n",
            "357 Toshiro\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "332 Dr. Julius Hibbert\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "332 Dr. Julius Hibbert\n",
            "2 Homer Simpson\n",
            "332 Dr. Julius Hibbert\n",
            "2 Homer Simpson\n",
            "332 Dr. Julius Hibbert\n",
            "332 Dr. Julius Hibbert\n",
            "2 Homer Simpson\n",
            "332 Dr. Julius Hibbert\n",
            "2 Homer Simpson\n",
            "332 Dr. Julius Hibbert\n",
            "2 Homer Simpson\n",
            "332 Dr. Julius Hibbert\n",
            "2 Homer Simpson\n",
            "332 Dr. Julius Hibbert\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "332 Dr. Julius Hibbert\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "90 Eddie\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "31 Grampa Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "91 Lou\n",
            "2 Homer Simpson\n",
            "90 Eddie\n",
            "91 Lou\n",
            "nan nan\n",
            "90 Eddie\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "360 Cellmate\n",
            "90 Eddie\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "361 Crazy Calls\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "18 Barney Gumble\n",
            "2 Homer Simpson\n",
            "18 Barney Gumble\n",
            "nan nan\n",
            "18 Barney Gumble\n",
            "2 Homer Simpson\n",
            "18 Barney Gumble\n",
            "18 Barney Gumble\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "71 Chief Wiggum\n",
            "nan nan\n",
            "18 Barney Gumble\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "15 C. Montgomery Burns\n",
            "14 Waylon Smithers\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "14 Waylon Smithers\n",
            "15 C. Montgomery Burns\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "18 Barney Gumble\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "18 Barney Gumble\n",
            "17 Moe Szyslak\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "17 Moe Szyslak\n",
            "17 Moe Szyslak\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "17 Moe Szyslak\n",
            "2 Homer Simpson\n",
            "18 Barney Gumble\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "18 Barney Gumble\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "363 Larry King\n",
            "364 LARRY KING V.O.\n",
            "364 LARRY KING V.O.\n",
            "364 LARRY KING V.O.\n",
            "366 Police Captain\n",
            "364 LARRY KING V.O.\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "33 Announcer\n",
            "314 Announcer #2\n",
            "33 Announcer\n",
            "314 Announcer #2\n",
            "33 Announcer\n",
            "314 Announcer #2\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "365 Bald One\n",
            "nan nan\n",
            "366 Police Captain\n",
            "366 Police Captain\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "368 Fat One\n",
            "365 Bald One\n",
            "368 Fat One\n",
            "365 Bald One\n",
            "368 Fat One\n",
            "365 Bald One\n",
            "368 Fat One\n",
            "365 Bald One\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "332 Dr. Julius Hibbert\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "18 Barney Gumble\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "369 Kim\n",
            "1 Marge Simpson\n",
            "369 Kim\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "18 Barney Gumble\n",
            "2 Homer Simpson\n",
            "18 Barney Gumble\n",
            "2 Homer Simpson\n",
            "370 Principal Dondelinger\n",
            "370 Principal Dondelinger\n",
            "18 Barney Gumble\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "369 Kim\n",
            "1 Marge Simpson\n",
            "370 Principal Dondelinger\n",
            "370 Principal Dondelinger\n",
            "1 Marge Simpson\n",
            "370 Principal Dondelinger\n",
            "nan nan\n",
            "18 Barney Gumble\n",
            "371 Estelle\n",
            "18 Barney Gumble\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "18 Barney Gumble\n",
            "2 Homer Simpson\n",
            "18 Barney Gumble\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "21 Teacher\n",
            "2 Homer Simpson\n",
            "21 Teacher\n",
            "2 Homer Simpson\n",
            "21 Teacher\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "21 Teacher\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "21 Teacher\n",
            "2 Homer Simpson\n",
            "21 Teacher\n",
            "2 Homer Simpson\n",
            "21 Teacher\n",
            "2 Homer Simpson\n",
            "21 Teacher\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "372 MCINTYRE\n",
            "372 MCINTYRE\n",
            "2 Homer Simpson\n",
            "372 MCINTYRE\n",
            "2 Homer Simpson\n",
            "372 MCINTYRE\n",
            "2 Homer Simpson\n",
            "372 MCINTYRE\n",
            "2 Homer Simpson\n",
            "372 MCINTYRE\n",
            "2 Homer Simpson\n",
            "372 MCINTYRE\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "373 Artie Ziff\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "374 Mrs. Bloominstein\n",
            "2 Homer Simpson\n",
            "374 Mrs. Bloominstein\n",
            "2 Homer Simpson\n",
            "374 Mrs. Bloominstein\n",
            "2 Homer Simpson\n",
            "374 Mrs. Bloominstein\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "373 Artie Ziff\n",
            "2 Homer Simpson\n",
            "373 Artie Ziff\n",
            "2 Homer Simpson\n",
            "373 Artie Ziff\n",
            "2 Homer Simpson\n",
            "373 Artie Ziff\n",
            "2 Homer Simpson\n",
            "374 Mrs. Bloominstein\n",
            "2 Homer Simpson\n",
            "373 Artie Ziff\n",
            "2 Homer Simpson\n",
            "374 Mrs. Bloominstein\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "375 Coach Flanagan\n",
            "376 Mr. Seckofsky\n",
            "18 Barney Gumble\n",
            "369 Kim\n",
            "18 Barney Gumble\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "21 Teacher\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "373 Artie Ziff\n",
            "373 Artie Ziff\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "112 Jacqueline Bouvier\n",
            "112 Jacqueline Bouvier\n",
            "1 Marge Simpson\n",
            "112 Jacqueline Bouvier\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "10 Patty Bouvier\n",
            "2 Homer Simpson\n",
            "10 Patty Bouvier\n",
            "2 Homer Simpson\n",
            "22 Selma Bouvier\n",
            "10 Patty Bouvier\n",
            "377 Mr. Bouvier\n",
            "2 Homer Simpson\n",
            "112 Jacqueline Bouvier\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "373 Artie Ziff\n",
            "10 Patty Bouvier\n",
            "373 Artie Ziff\n",
            "22 Selma Bouvier\n",
            "373 Artie Ziff\n",
            "10 Patty Bouvier\n",
            "377 Mr. Bouvier\n",
            "nan nan\n",
            "22 Selma Bouvier\n",
            "377 Mr. Bouvier\n",
            "nan nan\n",
            "378 Chauffeur\n",
            "2 Homer Simpson\n",
            "378 Chauffeur\n",
            "2 Homer Simpson\n",
            "378 Chauffeur\n",
            "nan nan\n",
            "370 Principal Dondelinger\n",
            "370 Principal Dondelinger\n",
            "2 Homer Simpson\n",
            "379 PRINCIPAL\n",
            "nan nan\n",
            "171 Waiter\n",
            "2 Homer Simpson\n",
            "18 Barney Gumble\n",
            "2 Homer Simpson\n",
            "370 Principal Dondelinger\n",
            "370 Principal Dondelinger\n",
            "2 Homer Simpson\n",
            "373 Artie Ziff\n",
            "370 Principal Dondelinger\n",
            "373 Artie Ziff\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "378 Chauffeur\n",
            "2 Homer Simpson\n",
            "378 Chauffeur\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "373 Artie Ziff\n",
            "1 Marge Simpson\n",
            "373 Artie Ziff\n",
            "1 Marge Simpson\n",
            "373 Artie Ziff\n",
            "1 Marge Simpson\n",
            "373 Artie Ziff\n",
            "1 Marge Simpson\n",
            "373 Artie Ziff\n",
            "1 Marge Simpson\n",
            "378 Chauffeur\n",
            "2 Homer Simpson\n",
            "378 Chauffeur\n",
            "nan nan\n",
            "nan nan\n",
            "373 Artie Ziff\n",
            "1 Marge Simpson\n",
            "377 Mr. Bouvier\n",
            "112 Jacqueline Bouvier\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "21 Teacher\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "380 Homer The Thief\n",
            "381 Hezron\n",
            "380 Homer The Thief\n",
            "381 Hezron\n",
            "380 Homer The Thief\n",
            "380 Homer The Thief\n",
            "382 Zohar\n",
            "380 Homer The Thief\n",
            "382 Zohar\n",
            "381 Hezron\n",
            "380 Homer The Thief\n",
            "383 Moses\n",
            "381 Hezron\n",
            "383 Moses\n",
            "382 Zohar\n",
            "380 Homer The Thief\n",
            "383 Moses\n",
            "380 Homer The Thief\n",
            "381 Hezron\n",
            "nan nan\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "384 Cable Guy\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "384 Cable Guy\n",
            "2 Homer Simpson\n",
            "384 Cable Guy\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "384 Cable Guy\n",
            "2 Homer Simpson\n",
            "384 Cable Guy\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "385 Comic\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "386 Woman #1\n",
            "1 Marge Simpson\n",
            "387 Woman #2\n",
            "388 Mexican Announcer\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "389 Representative\n",
            "2 Homer Simpson\n",
            "390 Cockfight Announcer\n",
            "391 Davey\n",
            "392 Goliath\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "140 Rev. Timothy Lovejoy\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "21 Teacher\n",
            "8 Bart Simpson\n",
            "21 Teacher\n",
            "8 Bart Simpson\n",
            "21 Teacher\n",
            "8 Bart Simpson\n",
            "38 Martin Prince\n",
            "21 Teacher\n",
            "21 Teacher\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "394 Panelist #1\n",
            "349 Dr. Nick Riviera\n",
            "349 Dr. Nick Riviera\n",
            "346 Devil\n",
            "346 Devil\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "28 Clerk\n",
            "1 Marge Simpson\n",
            "28 Clerk\n",
            "1 Marge Simpson\n",
            "28 Clerk\n",
            "nan nan\n",
            "395 Blockbuster Announcer\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "395 Blockbuster Announcer\n",
            "2 Homer Simpson\n",
            "395 Blockbuster Announcer\n",
            "2 Homer Simpson\n",
            "395 Blockbuster Announcer\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "165 Lenny Leonard\n",
            "170 Carl Carlson\n",
            "165 Lenny Leonard\n",
            "170 Carl Carlson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "14 Waylon Smithers\n",
            "15 C. Montgomery Burns\n",
            "14 Waylon Smithers\n",
            "15 C. Montgomery Burns\n",
            "14 Waylon Smithers\n",
            "15 C. Montgomery Burns\n",
            "14 Waylon Smithers\n",
            "15 C. Montgomery Burns\n",
            "14 Waylon Smithers\n",
            "nan nan\n",
            "18 Barney Gumble\n",
            "2 Homer Simpson\n",
            "18 Barney Gumble\n",
            "17 Moe Szyslak\n",
            "17 Moe Szyslak\n",
            "nan nan\n",
            "208 Apu Nahasapeemapetilon\n",
            "2 Homer Simpson\n",
            "208 Apu Nahasapeemapetilon\n",
            "2 Homer Simpson\n",
            "208 Apu Nahasapeemapetilon\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "140 Rev. Timothy Lovejoy\n",
            "9 Lisa Simpson\n",
            "140 Rev. Timothy Lovejoy\n",
            "9 Lisa Simpson\n",
            "140 Rev. Timothy Lovejoy\n",
            "9 Lisa Simpson\n",
            "140 Rev. Timothy Lovejoy\n",
            "9 Lisa Simpson\n",
            "nan nan\n",
            "396 Top Hat Announcer\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "397 Stock Reporter\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "384 Cable Guy\n",
            "2 Homer Simpson\n",
            "384 Cable Guy\n",
            "2 Homer Simpson\n",
            "384 Cable Guy\n",
            "2 Homer Simpson\n",
            "384 Cable Guy\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "396 Top Hat Announcer\n",
            "25 Milhouse Van Houten\n",
            "38 Martin Prince\n",
            "25 Milhouse Van Houten\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "18 Barney Gumble\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "208 Apu Nahasapeemapetilon\n",
            "2 Homer Simpson\n",
            "208 Apu Nahasapeemapetilon\n",
            "398 Boxing Announcer #1\n",
            "399 Boxing Announcer #2\n",
            "117 Champ\n",
            "399 Boxing Announcer #2\n",
            "400 Challenger\n",
            "117 Champ\n",
            "400 Challenger\n",
            "117 Champ\n",
            "9 Lisa Simpson\n",
            "17 Moe Szyslak\n",
            "2 Homer Simpson\n",
            "18 Barney Gumble\n",
            "2 Homer Simpson\n",
            "17 Moe Szyslak\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "90 Eddie\n",
            "2 Homer Simpson\n",
            "91 Lou\n",
            "2 Homer Simpson\n",
            "90 Eddie\n",
            "91 Lou\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "399 Boxing Announcer #2\n",
            "18 Barney Gumble\n",
            "400 Challenger\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "401 Referee\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2577 Ranger Ned\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "109 All\n",
            "398 Boxing Announcer #1\n",
            "208 Apu Nahasapeemapetilon\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "208 Apu Nahasapeemapetilon\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "18 Barney Gumble\n",
            "2 Homer Simpson\n",
            "18 Barney Gumble\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "18 Barney Gumble\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "18 Barney Gumble\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "3 Seymour Skinner\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "22 Selma Bouvier\n",
            "22 Selma Bouvier\n",
            "10 Patty Bouvier\n",
            "10 Patty Bouvier\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "22 Selma Bouvier\n",
            "10 Patty Bouvier\n",
            "402 Kindly Old Gent\n",
            "10 Patty Bouvier\n",
            "402 Kindly Old Gent\n",
            "10 Patty Bouvier\n",
            "nan nan\n",
            "140 Rev. Timothy Lovejoy\n",
            "403 Stanley\n",
            "nan nan\n",
            "403 Stanley\n",
            "22 Selma Bouvier\n",
            "403 Stanley\n",
            "10 Patty Bouvier\n",
            "10 Patty Bouvier\n",
            "nan nan\n",
            "403 Stanley\n",
            "nan nan\n",
            "22 Selma Bouvier\n",
            "3 Seymour Skinner\n",
            "9 Lisa Simpson\n",
            "22 Selma Bouvier\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "22 Selma Bouvier\n",
            "2 Homer Simpson\n",
            "22 Selma Bouvier\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "10 Patty Bouvier\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "40 Edna Krabappel-Flanders\n",
            "38 Martin Prince\n",
            "8 Bart Simpson\n",
            "38 Martin Prince\n",
            "8 Bart Simpson\n",
            "38 Martin Prince\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "3 Seymour Skinner\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "208 Apu Nahasapeemapetilon\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "3 Seymour Skinner\n",
            "3 Seymour Skinner\n",
            "3 Seymour Skinner\n",
            "3 Seymour Skinner\n",
            "3 Seymour Skinner\n",
            "8 Bart Simpson\n",
            "3 Seymour Skinner\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "3 Seymour Skinner\n",
            "3 Seymour Skinner\n",
            "8 Bart Simpson\n",
            "17 Moe Szyslak\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "17 Moe Szyslak\n",
            "nan nan\n",
            "17 Moe Szyslak\n",
            "3 Seymour Skinner\n",
            "17 Moe Szyslak\n",
            "3 Seymour Skinner\n",
            "nan nan\n",
            "17 Moe Szyslak\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "3 Seymour Skinner\n",
            "2 Homer Simpson\n",
            "3 Seymour Skinner\n",
            "2 Homer Simpson\n",
            "3 Seymour Skinner\n",
            "2 Homer Simpson\n",
            "3 Seymour Skinner\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "3 Seymour Skinner\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "10 Patty Bouvier\n",
            "22 Selma Bouvier\n",
            "10 Patty Bouvier\n",
            "22 Selma Bouvier\n",
            "10 Patty Bouvier\n",
            "22 Selma Bouvier\n",
            "3 Seymour Skinner\n",
            "3 Seymour Skinner\n",
            "2 Homer Simpson\n",
            "3 Seymour Skinner\n",
            "10 Patty Bouvier\n",
            "2 Homer Simpson\n",
            "3 Seymour Skinner\n",
            "2 Homer Simpson\n",
            "3 Seymour Skinner\n",
            "10 Patty Bouvier\n",
            "3 Seymour Skinner\n",
            "1 Marge Simpson\n",
            "3 Seymour Skinner\n",
            "10 Patty Bouvier\n",
            "22 Selma Bouvier\n",
            "nan nan\n",
            "10 Patty Bouvier\n",
            "22 Selma Bouvier\n",
            "10 Patty Bouvier\n",
            "10 Patty Bouvier\n",
            "22 Selma Bouvier\n",
            "10 Patty Bouvier\n",
            "nan nan\n",
            "10 Patty Bouvier\n",
            "22 Selma Bouvier\n",
            "208 Apu Nahasapeemapetilon\n",
            "22 Selma Bouvier\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "404 Groundskeeper Willie\n",
            "8 Bart Simpson\n",
            "3 Seymour Skinner\n",
            "8 Bart Simpson\n",
            "3 Seymour Skinner\n",
            "8 Bart Simpson\n",
            "3 Seymour Skinner\n",
            "8 Bart Simpson\n",
            "404 Groundskeeper Willie\n",
            "nan nan\n",
            "10 Patty Bouvier\n",
            "1 Marge Simpson\n",
            "10 Patty Bouvier\n",
            "22 Selma Bouvier\n",
            "nan nan\n",
            "3 Seymour Skinner\n",
            "3 Seymour Skinner\n",
            "10 Patty Bouvier\n",
            "3 Seymour Skinner\n",
            "18 Barney Gumble\n",
            "10 Patty Bouvier\n",
            "3 Seymour Skinner\n",
            "10 Patty Bouvier\n",
            "nan nan\n",
            "10 Patty Bouvier\n",
            "3 Seymour Skinner\n",
            "10 Patty Bouvier\n",
            "405 Busboy\n",
            "3 Seymour Skinner\n",
            "405 Busboy\n",
            "3 Seymour Skinner\n",
            "3 Seymour Skinner\n",
            "nan nan\n",
            "22 Selma Bouvier\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "3 Seymour Skinner\n",
            "10 Patty Bouvier\n",
            "3 Seymour Skinner\n",
            "406 Australian Boy\n",
            "407 Australian Girl\n",
            "406 Australian Boy\n",
            "407 Australian Girl\n",
            "3 Seymour Skinner\n",
            "nan nan\n",
            "3 Seymour Skinner\n",
            "10 Patty Bouvier\n",
            "3 Seymour Skinner\n",
            "3 Seymour Skinner\n",
            "10 Patty Bouvier\n",
            "3 Seymour Skinner\n",
            "10 Patty Bouvier\n",
            "10 Patty Bouvier\n",
            "3 Seymour Skinner\n",
            "22 Selma Bouvier\n",
            "10 Patty Bouvier\n",
            "nan nan\n",
            "nan nan\n",
            "10 Patty Bouvier\n",
            "nan nan\n",
            "3 Seymour Skinner\n",
            "25 Milhouse Van Houten\n",
            "8 Bart Simpson\n",
            "3 Seymour Skinner\n",
            "8 Bart Simpson\n",
            "3 Seymour Skinner\n",
            "3 Seymour Skinner\n",
            "3 Seymour Skinner\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "17 Moe Szyslak\n",
            "2 Homer Simpson\n",
            "18 Barney Gumble\n",
            "2 Homer Simpson\n",
            "18 Barney Gumble\n",
            "nan nan\n",
            "408 Jeweler\n",
            "3 Seymour Skinner\n",
            "8 Bart Simpson\n",
            "3 Seymour Skinner\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "22 Selma Bouvier\n",
            "8 Bart Simpson\n",
            "22 Selma Bouvier\n",
            "8 Bart Simpson\n",
            "22 Selma Bouvier\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "22 Selma Bouvier\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "22 Selma Bouvier\n",
            "10 Patty Bouvier\n",
            "22 Selma Bouvier\n",
            "22 Selma Bouvier\n",
            "2 Homer Simpson\n",
            "18 Barney Gumble\n",
            "22 Selma Bouvier\n",
            "nan nan\n",
            "3 Seymour Skinner\n",
            "10 Patty Bouvier\n",
            "3 Seymour Skinner\n",
            "10 Patty Bouvier\n",
            "10 Patty Bouvier\n",
            "3 Seymour Skinner\n",
            "10 Patty Bouvier\n",
            "3 Seymour Skinner\n",
            "10 Patty Bouvier\n",
            "3 Seymour Skinner\n",
            "nan nan\n",
            "10 Patty Bouvier\n",
            "3 Seymour Skinner\n",
            "10 Patty Bouvier\n",
            "3 Seymour Skinner\n",
            "10 Patty Bouvier\n",
            "3 Seymour Skinner\n",
            "10 Patty Bouvier\n",
            "3 Seymour Skinner\n",
            "10 Patty Bouvier\n",
            "3 Seymour Skinner\n",
            "10 Patty Bouvier\n",
            "3 Seymour Skinner\n",
            "nan nan\n",
            "18 Barney Gumble\n",
            "22 Selma Bouvier\n",
            "10 Patty Bouvier\n",
            "22 Selma Bouvier\n",
            "10 Patty Bouvier\n",
            "22 Selma Bouvier\n",
            "10 Patty Bouvier\n",
            "22 Selma Bouvier\n",
            "18 Barney Gumble\n",
            "17 Moe Szyslak\n",
            "18 Barney Gumble\n",
            "nan nan\n",
            "404 Groundskeeper Willie\n",
            "nan nan\n",
            "409 Senator Mendoza\n",
            "410 Board Member\n",
            "409 Senator Mendoza\n",
            "nan nan\n",
            "31 Grampa Simpson\n",
            "273 Jasper Beardly\n",
            "411 Female Commando\n",
            "411 Female Commando\n",
            "31 Grampa Simpson\n",
            "31 Grampa Simpson\n",
            "273 Jasper Beardly\n",
            "31 Grampa Simpson\n",
            "273 Jasper Beardly\n",
            "412 Theatre Manager\n",
            "31 Grampa Simpson\n",
            "412 Theatre Manager\n",
            "31 Grampa Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "332 Dr. Julius Hibbert\n",
            "31 Grampa Simpson\n",
            "332 Dr. Julius Hibbert\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "nan nan\n",
            "31 Grampa Simpson\n",
            "413 Floozy\n",
            "31 Grampa Simpson\n",
            "31 Grampa Simpson\n",
            "nan nan\n",
            "31 Grampa Simpson\n",
            "414 Mona Simpson\n",
            "414 Mona Simpson\n",
            "31 Grampa Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "416 Attendant\n",
            "2 Homer Simpson\n",
            "416 Attendant\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "218 Director\n",
            "218 Director\n",
            "2 Homer Simpson\n",
            "218 Director\n",
            "2 Homer Simpson\n",
            "218 Director\n",
            "2 Homer Simpson\n",
            "218 Director\n",
            "2 Homer Simpson\n",
            "218 Director\n",
            "2 Homer Simpson\n",
            "218 Director\n",
            "2 Homer Simpson\n",
            "218 Director\n",
            "2 Homer Simpson\n",
            "218 Director\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "417 HERB\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "418 Policeman\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "417 HERB\n",
            "258 Executive #1\n",
            "419 Executive #2\n",
            "259 Executive #3\n",
            "417 HERB\n",
            "419 Executive #2\n",
            "417 HERB\n",
            "419 Executive #2\n",
            "417 HERB\n",
            "259 Executive #3\n",
            "417 HERB\n",
            "258 Executive #1\n",
            "417 HERB\n",
            "419 Executive #2\n",
            "417 HERB\n",
            "419 Executive #2\n",
            "9 Lisa Simpson\n",
            "417 HERB\n",
            "259 Executive #3\n",
            "417 HERB\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "417 HERB\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "419 Executive #2\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "417 HERB\n",
            "8 Bart Simpson\n",
            "417 HERB\n",
            "8 Bart Simpson\n",
            "417 HERB\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "1 Marge Simpson\n",
            "417 HERB\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "417 HERB\n",
            "9 Lisa Simpson\n",
            "31 Grampa Simpson\n",
            "8 Bart Simpson\n",
            "417 HERB\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "52 Otto Mann\n",
            "2 Homer Simpson\n",
            "259 Executive #3\n",
            "2 Homer Simpson\n",
            "419 Executive #2\n",
            "417 HERB\n",
            "259 Executive #3\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "417 HERB\n",
            "420 Head Engineer\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "417 HERB\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "417 HERB\n",
            "1 Marge Simpson\n",
            "417 HERB\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "420 Head Engineer\n",
            "2 Homer Simpson\n",
            "420 Head Engineer\n",
            "2 Homer Simpson\n",
            "420 Head Engineer\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "420 Head Engineer\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "420 Head Engineer\n",
            "2 Homer Simpson\n",
            "420 Head Engineer\n",
            "2 Homer Simpson\n",
            "420 Head Engineer\n",
            "2 Homer Simpson\n",
            "420 Head Engineer\n",
            "nan nan\n",
            "417 HERB\n",
            "417 HERB\n",
            "9 Lisa Simpson\n",
            "417 HERB\n",
            "417 HERB\n",
            "421 Engineer #2\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "420 Head Engineer\n",
            "2 Homer Simpson\n",
            "422 Engineer #3\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "417 HERB\n",
            "9 Lisa Simpson\n",
            "417 HERB\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "417 HERB\n",
            "417 HERB\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "nan nan\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "423 Female Singer\n",
            "2 Homer Simpson\n",
            "33 Announcer\n",
            "417 HERB\n",
            "417 HERB\n",
            "345 Reporter\n",
            "417 HERB\n",
            "417 HERB\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "417 HERB\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "nan nan\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "nan nan\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "139 Krusty the Clown\n",
            "1 Marge Simpson\n",
            "332 Dr. Julius Hibbert\n",
            "1 Marge Simpson\n",
            "332 Dr. Julius Hibbert\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "52 Otto Mann\n",
            "8 Bart Simpson\n",
            "52 Otto Mann\n",
            "8 Bart Simpson\n",
            "208 Apu Nahasapeemapetilon\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "68 Sylvia Winfield\n",
            "2 Homer Simpson\n",
            "68 Sylvia Winfield\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "165 Lenny Leonard\n",
            "nan nan\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "2 Homer Simpson\n",
            "11 Ned Flanders\n",
            "nan nan\n",
            "332 Dr. Julius Hibbert\n",
            "1 Marge Simpson\n",
            "332 Dr. Julius Hibbert\n",
            "1 Marge Simpson\n",
            "332 Dr. Julius Hibbert\n",
            "9 Lisa Simpson\n",
            "332 Dr. Julius Hibbert\n",
            "9 Lisa Simpson\n",
            "332 Dr. Julius Hibbert\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "165 Lenny Leonard\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "424 Counter Man\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "425 Flanders's Thoughts\n",
            "2 Homer Simpson\n",
            "425 Flanders's Thoughts\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "211 Kent Brockman\n",
            "139 Krusty the Clown\n",
            "426 Troy McClure\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "427 Emily\n",
            "8 Bart Simpson\n",
            "427 Emily\n",
            "8 Bart Simpson\n",
            "427 Emily\n",
            "427 Emily\n",
            "427 Emily\n",
            "427 Emily\n",
            "38 Martin Prince\n",
            "427 Emily\n",
            "8 Bart Simpson\n",
            "427 Emily\n",
            "nan nan\n",
            "428 Kelly\n",
            "429 Jack\n",
            "428 Kelly\n",
            "429 Jack\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "428 Kelly\n",
            "430 Father McGrath\n",
            "nan nan\n",
            "427 Emily\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "431 Salesboy\n",
            "2 Homer Simpson\n",
            "431 Salesboy\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "432 Hula Woman\n",
            "2 Homer Simpson\n",
            "432 Hula Woman\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "432 Hula Woman\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "427 Emily\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "427 Emily\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "427 Emily\n",
            "427 Emily\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "433 Farmer\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "427 Emily\n",
            "8 Bart Simpson\n",
            "427 Emily\n",
            "8 Bart Simpson\n",
            "427 Emily\n",
            "8 Bart Simpson\n",
            "427 Emily\n",
            "8 Bart Simpson\n",
            "427 Emily\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "427 Emily\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "31 Grampa Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "31 Grampa Simpson\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "9 Lisa Simpson\n",
            "nan nan\n",
            "31 Grampa Simpson\n",
            "31 Grampa Simpson\n",
            "237 Nurse\n",
            "31 Grampa Simpson\n",
            "nan nan\n",
            "434 BEA\n",
            "31 Grampa Simpson\n",
            "434 BEA\n",
            "31 Grampa Simpson\n",
            "31 Grampa Simpson\n",
            "31 Grampa Simpson\n",
            "434 BEA\n",
            "31 Grampa Simpson\n",
            "434 BEA\n",
            "434 BEA\n",
            "31 Grampa Simpson\n",
            "434 BEA\n",
            "31 Grampa Simpson\n",
            "31 Grampa Simpson\n",
            "434 BEA\n",
            "31 Grampa Simpson\n",
            "434 BEA\n",
            "31 Grampa Simpson\n",
            "434 BEA\n",
            "31 Grampa Simpson\n",
            "434 BEA\n",
            "31 Grampa Simpson\n",
            "31 Grampa Simpson\n",
            "31 Grampa Simpson\n",
            "434 BEA\n",
            "31 Grampa Simpson\n",
            "nan nan\n",
            "434 BEA\n",
            "31 Grampa Simpson\n",
            "434 BEA\n",
            "31 Grampa Simpson\n",
            "31 Grampa Simpson\n",
            "nan nan\n",
            "nan nan\n",
            "nan nan\n",
            "nan nan\n",
            "31 Grampa Simpson\n",
            "31 Grampa Simpson\n",
            "108 Herman Hermann\n",
            "31 Grampa Simpson\n",
            "108 Herman Hermann\n",
            "108 Herman Hermann\n",
            "31 Grampa Simpson\n",
            "108 Herman Hermann\n",
            "31 Grampa Simpson\n",
            "108 Herman Hermann\n",
            "31 Grampa Simpson\n",
            "108 Herman Hermann\n",
            "31 Grampa Simpson\n",
            "108 Herman Hermann\n",
            "nan nan\n",
            "435 Checker\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "1 Marge Simpson\n",
            "31 Grampa Simpson\n",
            "9 Lisa Simpson\n",
            "31 Grampa Simpson\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "436 Guard\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "31 Grampa Simpson\n",
            "nan nan\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "31 Grampa Simpson\n",
            "nan nan\n",
            "31 Grampa Simpson\n",
            "437 Tracker\n",
            "nan nan\n",
            "31 Grampa Simpson\n",
            "273 Jasper Beardly\n",
            "31 Grampa Simpson\n",
            "273 Jasper Beardly\n",
            "31 Grampa Simpson\n",
            "273 Jasper Beardly\n",
            "31 Grampa Simpson\n",
            "nan nan\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "31 Grampa Simpson\n",
            "nan nan\n",
            "31 Grampa Simpson\n",
            "347 Lionel Hutz\n",
            "31 Grampa Simpson\n",
            "347 Lionel Hutz\n",
            "31 Grampa Simpson\n",
            "347 Lionel Hutz\n",
            "347 Lionel Hutz\n",
            "31 Grampa Simpson\n",
            "347 Lionel Hutz\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "438 Mr. Hazelwood\n",
            "31 Grampa Simpson\n",
            "438 Mr. Hazelwood\n",
            "31 Grampa Simpson\n",
            "nan nan\n",
            "438 Mr. Hazelwood\n",
            "31 Grampa Simpson\n",
            "438 Mr. Hazelwood\n",
            "31 Grampa Simpson\n",
            "nan nan\n",
            "31 Grampa Simpson\n",
            "108 Herman Hermann\n",
            "31 Grampa Simpson\n",
            "nan nan\n",
            "439 Cabbie\n",
            "31 Grampa Simpson\n",
            "439 Cabbie\n",
            "nan nan\n",
            "31 Grampa Simpson\n",
            "nan nan\n",
            "31 Grampa Simpson\n",
            "nan nan\n",
            "31 Grampa Simpson\n",
            "31 Grampa Simpson\n",
            "434 BEA\n",
            "434 BEA\n",
            "31 Grampa Simpson\n",
            "434 BEA\n",
            "31 Grampa Simpson\n",
            "434 BEA\n",
            "31 Grampa Simpson\n",
            "434 BEA\n",
            "31 Grampa Simpson\n",
            "434 BEA\n",
            "31 Grampa Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "31 Grampa Simpson\n",
            "75 Crowd\n",
            "96 Dr. Marvin Monroe\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "nan nan\n",
            "440 KENT\n",
            "440 KENT\n",
            "440 KENT\n",
            "440 KENT\n",
            "8 Bart Simpson\n",
            "31 Grampa Simpson\n",
            "nan nan\n",
            "52 Otto Mann\n",
            "31 Grampa Simpson\n",
            "15 C. Montgomery Burns\n",
            "31 Grampa Simpson\n",
            "15 C. Montgomery Burns\n",
            "31 Grampa Simpson\n",
            "15 C. Montgomery Burns\n",
            "31 Grampa Simpson\n",
            "15 C. Montgomery Burns\n",
            "31 Grampa Simpson\n",
            "15 C. Montgomery Burns\n",
            "17 Moe Szyslak\n",
            "31 Grampa Simpson\n",
            "17 Moe Szyslak\n",
            "441 MONROE\n",
            "31 Grampa Simpson\n",
            "441 MONROE\n",
            "31 Grampa Simpson\n",
            "441 MONROE\n",
            "31 Grampa Simpson\n",
            "441 MONROE\n",
            "31 Grampa Simpson\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "31 Grampa Simpson\n",
            "8 Bart Simpson\n",
            "31 Grampa Simpson\n",
            "442 Professor Jonathan Frink\n",
            "31 Grampa Simpson\n",
            "442 Professor Jonathan Frink\n",
            "31 Grampa Simpson\n",
            "442 Professor Jonathan Frink\n",
            "442 Professor Jonathan Frink\n",
            "31 Grampa Simpson\n",
            "9 Lisa Simpson\n",
            "31 Grampa Simpson\n",
            "9 Lisa Simpson\n",
            "31 Grampa Simpson\n",
            "31 Grampa Simpson\n",
            "273 Jasper Beardly\n",
            "31 Grampa Simpson\n",
            "273 Jasper Beardly\n",
            "31 Grampa Simpson\n",
            "273 Jasper Beardly\n",
            "31 Grampa Simpson\n",
            "nan nan\n",
            "443 Old Man Daly\n",
            "444 Old Man McGrath\n",
            "52 Otto Mann\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "98 Receptionist\n",
            "2 Homer Simpson\n",
            "98 Receptionist\n",
            "98 Receptionist\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "52 Otto Mann\n",
            "nan nan\n",
            "445 Plato\n",
            "31 Grampa Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "31 Grampa Simpson\n",
            "446 Croupier\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "446 Croupier\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "31 Grampa Simpson\n",
            "446 Croupier\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "446 Croupier\n",
            "31 Grampa Simpson\n",
            "446 Croupier\n",
            "31 Grampa Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "31 Grampa Simpson\n",
            "nan nan\n",
            "31 Grampa Simpson\n",
            "nan nan\n",
            "33 Announcer\n",
            "139 Krusty the Clown\n",
            "139 Krusty the Clown\n",
            "139 Krusty the Clown\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "139 Krusty the Clown\n",
            "139 Krusty the Clown\n",
            "39 Kids\n",
            "39 Kids\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "447 Recorded Announcer\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "8 Bart Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "448 Old Woman In Line\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "nan nan\n",
            "449 Monitor #1\n",
            "450 Monitor #2\n",
            "416 Attendant\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "210 Scott Christian\n",
            "451 Female Newscaster\n",
            "2 Homer Simpson\n",
            "139 Krusty the Clown\n",
            "211 Kent Brockman\n",
            "139 Krusty the Clown\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "452 Mr. Schindler\n",
            "1 Marge Simpson\n",
            "452 Mr. Schindler\n",
            "452 Mr. Schindler\n",
            "453 Student\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "208 Apu Nahasapeemapetilon\n",
            "1 Marge Simpson\n",
            "208 Apu Nahasapeemapetilon\n",
            "1 Marge Simpson\n",
            "208 Apu Nahasapeemapetilon\n",
            "454 Registrar\n",
            "9 Lisa Simpson\n",
            "454 Registrar\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "nan nan\n",
            "455 Professor Lombardo\n",
            "1 Marge Simpson\n",
            "455 Professor Lombardo\n",
            "1 Marge Simpson\n",
            "455 Professor Lombardo\n",
            "455 Professor Lombardo\n",
            "nan nan\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "455 Professor Lombardo\n",
            "15 C. Montgomery Burns\n",
            "nan nan\n",
            "455 Professor Lombardo\n",
            "455 Professor Lombardo\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "455 Professor Lombardo\n",
            "455 Professor Lombardo\n",
            "1 Marge Simpson\n",
            "455 Professor Lombardo\n",
            "455 Professor Lombardo\n",
            "1 Marge Simpson\n",
            "455 Professor Lombardo\n",
            "455 Professor Lombardo\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "456 BART & LISA\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "15 C. Montgomery Burns\n",
            "457 Artist\n",
            "15 C. Montgomery Burns\n",
            "14 Waylon Smithers\n",
            "15 C. Montgomery Burns\n",
            "1 Marge Simpson\n",
            "14 Waylon Smithers\n",
            "15 C. Montgomery Burns\n",
            "14 Waylon Smithers\n",
            "15 C. Montgomery Burns\n",
            "14 Waylon Smithers\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "458 Delivery Man\n",
            "170 Carl Carlson\n",
            "458 Delivery Man\n",
            "nan nan\n",
            "15 C. Montgomery Burns\n",
            "14 Waylon Smithers\n",
            "14 Waylon Smithers\n",
            "1 Marge Simpson\n",
            "14 Waylon Smithers\n",
            "1 Marge Simpson\n",
            "15 C. Montgomery Burns\n",
            "14 Waylon Smithers\n",
            "15 C. Montgomery Burns\n",
            "15 C. Montgomery Burns\n",
            "1 Marge Simpson\n",
            "15 C. Montgomery Burns\n",
            "1 Marge Simpson\n",
            "15 C. Montgomery Burns\n",
            "14 Waylon Smithers\n",
            "15 C. Montgomery Burns\n",
            "459 MR. BURNS' GEOMETRIC SHAPES\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "15 C. Montgomery Burns\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "15 C. Montgomery Burns\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "14 Waylon Smithers\n",
            "15 C. Montgomery Burns\n",
            "1 Marge Simpson\n",
            "15 C. Montgomery Burns\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "15 C. Montgomery Burns\n",
            "8 Bart Simpson\n",
            "14 Waylon Smithers\n",
            "15 C. Montgomery Burns\n",
            "15 C. Montgomery Burns\n",
            "1 Marge Simpson\n",
            "14 Waylon Smithers\n",
            "15 C. Montgomery Burns\n",
            "14 Waylon Smithers\n",
            "nan nan\n",
            "460 RINGO\n",
            "461 WETHERBY\n",
            "460 RINGO\n",
            "461 WETHERBY\n",
            "460 RINGO\n",
            "460 RINGO\n",
            "460 RINGO\n",
            "460 RINGO\n",
            "nan nan\n",
            "15 C. Montgomery Burns\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "15 C. Montgomery Burns\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "15 C. Montgomery Burns\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "15 C. Montgomery Burns\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "460 RINGO\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "15 C. Montgomery Burns\n",
            "15 C. Montgomery Burns\n",
            "15 C. Montgomery Burns\n",
            "455 Professor Lombardo\n",
            "39 Kids\n",
            "38 Martin Prince\n",
            "8 Bart Simpson\n",
            "1 Marge Simpson\n",
            "332 Dr. Julius Hibbert\n",
            "462 MRS. HOOVER\n",
            "15 C. Montgomery Burns\n",
            "15 C. Montgomery Burns\n",
            "1 Marge Simpson\n",
            "nan nan\n",
            "4 JANEY\n",
            "463 Chuck\n",
            "3 Seymour Skinner\n",
            "9 Lisa Simpson\n",
            "464 Miss Hoover\n",
            "119 Ralph Wiggum\n",
            "3 Seymour Skinner\n",
            "464 Miss Hoover\n",
            "3 Seymour Skinner\n",
            "464 Miss Hoover\n",
            "3 Seymour Skinner\n",
            "3 Seymour Skinner\n",
            "3 Seymour Skinner\n",
            "3 Seymour Skinner\n",
            "8 Bart Simpson\n",
            "39 Kids\n",
            "8 Bart Simpson\n",
            "40 Edna Krabappel-Flanders\n",
            "8 Bart Simpson\n",
            "39 Kids\n",
            "3 Seymour Skinner\n",
            "3 Seymour Skinner\n",
            "465 BERGSTROM\n",
            "3 Seymour Skinner\n",
            "465 BERGSTROM\n",
            "3 Seymour Skinner\n",
            "465 BERGSTROM\n",
            "463 Chuck\n",
            "465 BERGSTROM\n",
            "465 BERGSTROM\n",
            "9 Lisa Simpson\n",
            "465 BERGSTROM\n",
            "9 Lisa Simpson\n",
            "465 BERGSTROM\n",
            "9 Lisa Simpson\n",
            "465 BERGSTROM\n",
            "9 Lisa Simpson\n",
            "465 BERGSTROM\n",
            "9 Lisa Simpson\n",
            "465 BERGSTROM\n",
            "9 Lisa Simpson\n",
            "465 BERGSTROM\n",
            "9 Lisa Simpson\n",
            "467 Terri/sherri\n",
            "8 Bart Simpson\n",
            "39 Kids\n",
            "465 BERGSTROM\n",
            "40 Edna Krabappel-Flanders\n",
            "40 Edna Krabappel-Flanders\n",
            "38 Martin Prince\n",
            "53 Wendell Borton\n",
            "38 Martin Prince\n",
            "40 Edna Krabappel-Flanders\n",
            "465 BERGSTROM\n",
            "465 BERGSTROM\n",
            "465 BERGSTROM\n",
            "465 BERGSTROM\n",
            "9 Lisa Simpson\n",
            "465 BERGSTROM\n",
            "9 Lisa Simpson\n",
            "465 BERGSTROM\n",
            "9 Lisa Simpson\n",
            "465 BERGSTROM\n",
            "466 Classmate\n",
            "40 Edna Krabappel-Flanders\n",
            "467 Terri/sherri\n",
            "nan nan\n",
            "40 Edna Krabappel-Flanders\n",
            "40 Edna Krabappel-Flanders\n",
            "8 Bart Simpson\n",
            "40 Edna Krabappel-Flanders\n",
            "25 Milhouse Van Houten\n",
            "465 BERGSTROM\n",
            "465 BERGSTROM\n",
            "4 JANEY\n",
            "465 BERGSTROM\n",
            "4 JANEY\n",
            "465 BERGSTROM\n",
            "465 BERGSTROM\n",
            "465 BERGSTROM\n",
            "9 Lisa Simpson\n",
            "465 BERGSTROM\n",
            "9 Lisa Simpson\n",
            "465 BERGSTROM\n",
            "9 Lisa Simpson\n",
            "465 BERGSTROM\n",
            "40 Edna Krabappel-Flanders\n",
            "465 BERGSTROM\n",
            "40 Edna Krabappel-Flanders\n",
            "465 BERGSTROM\n",
            "40 Edna Krabappel-Flanders\n",
            "465 BERGSTROM\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "9 Lisa Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "465 BERGSTROM\n",
            "9 Lisa Simpson\n",
            "465 BERGSTROM\n",
            "9 Lisa Simpson\n",
            "465 BERGSTROM\n",
            "9 Lisa Simpson\n",
            "465 BERGSTROM\n",
            "9 Lisa Simpson\n",
            "nan nan\n",
            "38 Martin Prince\n",
            "8 Bart Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "8 Bart Simpson\n",
            "39 Kids\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "465 BERGSTROM\n",
            "9 Lisa Simpson\n",
            "465 BERGSTROM\n",
            "9 Lisa Simpson\n",
            "465 BERGSTROM\n",
            "9 Lisa Simpson\n",
            "119 Ralph Wiggum\n",
            "465 BERGSTROM\n",
            "465 BERGSTROM\n",
            "nan nan\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "8 Bart Simpson\n",
            "2 Homer Simpson\n",
            "1 Marge Simpson\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "2 Homer Simpson\n",
            "468 Woman In Booth\n",
            "2 Homer Simpson\n",
            "468 Woman In Booth\n",
            "2 Homer Simpson\n",
            "468 Woman In Booth\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "465 BERGSTROM\n",
            "2 Homer Simpson\n",
            "465 BERGSTROM\n",
            "465 BERGSTROM\n",
            "9 Lisa Simpson\n",
            "465 BERGSTROM\n",
            "9 Lisa Simpson\n",
            "2 Homer Simpson\n",
            "9 Lisa Simpson\n",
            "465 BERGSTROM\n",
            "2 Homer Simpson\n",
            "465 BERGSTROM\n",
            "2 Homer Simpson\n",
            "465 BERGSTROM\n",
            "2 Homer Simpson\n",
            "465 BERGSTROM\n",
            "2 Homer Simpson\n",
            "465 BERGSTROM\n",
            "2 Homer Simpson\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "1 Marge Simpson\n",
            "9 Lisa Simpson\n",
            "nan nan\n",
            "9 Lisa Simpson\n",
            "464 Miss Hoover\n",
            "464 Miss Hoover\n",
            "464 Miss Hoover\n",
            "464 Miss Hoover\n",
            "119 Ralph Wiggum\n",
            "4 JANEY\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3yWuW2ioD-6y"
      },
      "source": [
        "val_homer=[]\n",
        "val_bart=[]\n",
        "val_marge=[]\n",
        "val_lisa=[]\n",
        "\n",
        "for i,row in scripts.iterrows():\n",
        "    val = row['normalized_text_new']\n",
        "    if row['character_id'] == 2:\n",
        "        val_homer.append(val)\n",
        "    elif row['character_id']== 8:\n",
        "        val_bart.append(val)\n",
        "    elif row['character_id'] == 1:\n",
        "        val_marge.append(val)\n",
        "    elif row['character_id']== 9:\n",
        "        val_lisa.append(val)    "
      ],
      "execution_count": 74,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZwKe7DK_NotB"
      },
      "source": [
        "pat = r'\\b(?:{})\\b'.format('|'.join(stop))\n",
        "def text_cleaning(val_list):\n",
        "    df1 = pd.DataFrame(val_list,columns =['normalized_text_new']).dropna()\n",
        "    df1[\"normalized_text_new\"] = df1[\"normalized_text_new\"].str.replace(pat, '')\n",
        "    df1[\"normalized_text_new\"] = df1[\"normalized_text_new\"].str.replace(r'\\s+', ' ')\n",
        "    return df1"
      ],
      "execution_count": 75,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "c2UJYJsvOoLb"
      },
      "source": [
        "bart = text_cleaning(val_bart)\n",
        "homer = text_cleaning(val_homer)\n",
        "marge = text_cleaning(val_marge)\n",
        "lisa = text_cleaning(val_lisa)"
      ],
      "execution_count": 76,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3H3LDbPmPFug"
      },
      "source": [
        "def get_top_n_words(corpus, n=None):\n",
        "    vec = CountVectorizer().fit(corpus)\n",
        "    bag_of_words = vec.transform(corpus)\n",
        "    sum_words = bag_of_words.sum(axis=0) \n",
        "    words_freq = [(word, sum_words[0, idx]) for word, idx in     vec.vocabulary_.items()]\n",
        "    words_freq =sorted(words_freq, key = lambda x: x[1], reverse=True)\n",
        "    return words_freq[:n]"
      ],
      "execution_count": 77,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8p2lmLdTDD0L"
      },
      "source": [
        "### **The top 20 words (unigrams-one word) spoken by the most popular characters**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 418
        },
        "id": "0rVDWtNNPTKh",
        "outputId": "4f349758-00a7-4493-e985-d2e531448716"
      },
      "source": [
        "common_words = get_top_n_words(bart['normalized_text_new'], 20)\n",
        "common_words_df = pd.DataFrame (common_words,columns=['word','freq'])\n",
        "plt.figure(figsize=(16, 6))\n",
        "ax = sns.barplot(x='word', y='freq', data=common_words_df,palette='OrRd')\n",
        "plt.title(\"Top 20 unigrams used by Bart\", fontsize=16)\n",
        "plt.ylabel(\"Frequency\", fontsize=14)\n",
        "plt.yticks(fontsize=13)\n",
        "plt.xticks(rotation=45, fontsize=13)\n",
        "plt.xlabel(\"\");"
      ],
      "execution_count": 78,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 418
        },
        "id": "AAVE8UnqUrCP",
        "outputId": "3b08ef97-e165-468d-9779-6d21a52f3e42"
      },
      "source": [
        "common_words = get_top_n_words(lisa['normalized_text_new'], 20)\n",
        "common_words_df = pd.DataFrame(common_words,columns=['word','freq'])\n",
        "plt.figure(figsize=(16, 6))\n",
        "ax = sns.barplot(x='word', y='freq', data=common_words_df,palette='PuRd')\n",
        "plt.title(\"Top 20 unigrams used by Lisa\", fontsize=16)\n",
        "plt.ylabel(\"Frequency\", fontsize=14)\n",
        "plt.yticks(fontsize=13)\n",
        "plt.xticks(rotation=45, fontsize=13)\n",
        "plt.xlabel(\"\");"
      ],
      "execution_count": 79,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 475
        },
        "id": "clZ5bMSLVFy1",
        "outputId": "d9220f0a-7dcb-4db7-9555-f5fc89f9b40f"
      },
      "source": [
        "common_words = get_top_n_words(homer['normalized_text_new'], 20)\n",
        "common_words_df = pd.DataFrame(common_words,columns=['word','freq'])\n",
        "plt.figure(figsize=(16, 7))\n",
        "ax = sns.barplot(x='word', y='freq', data=common_words_df,palette='BuPu')\n",
        "plt.title(\"Top 20 unigrams used by Homer\", fontsize=16)\n",
        "plt.ylabel(\"Frequency\", fontsize=14)\n",
        "plt.yticks(fontsize=13)\n",
        "plt.xticks(rotation=45, fontsize=13)\n",
        "plt.xlabel(\"\");"
      ],
      "execution_count": 80,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 421
        },
        "id": "QQULANWyVdx_",
        "outputId": "a1a4a172-38e1-44ab-9a5d-d19039ce4a20"
      },
      "source": [
        "common_words = get_top_n_words(marge['normalized_text_new'], 20)\n",
        "common_words_df = pd.DataFrame (common_words,columns=['word','freq'])\n",
        "plt.figure(figsize=(16, 6))\n",
        "ax = sns.barplot(x='word', y='freq', data=common_words_df,palette='GnBu')\n",
        "plt.title(\"Top 20 unigrams used by Marge\", fontsize=16)\n",
        "plt.ylabel(\"Frequency\", fontsize=14)\n",
        "plt.yticks(fontsize=13)\n",
        "plt.xticks(rotation=45, fontsize=13)\n",
        "plt.xlabel(\"\");"
      ],
      "execution_count": 81,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 618
        },
        "id": "-qvxhbEoVv7D",
        "outputId": "86311575-b2c7-4679-ab2d-029361d5dae3"
      },
      "source": [
        "scripts.head()"
      ],
      "execution_count": 82,
      "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>id</th>\n",
              "      <th>episode_id</th>\n",
              "      <th>number</th>\n",
              "      <th>raw_text</th>\n",
              "      <th>speaking_line</th>\n",
              "      <th>character_id</th>\n",
              "      <th>location_id</th>\n",
              "      <th>raw_character_text</th>\n",
              "      <th>raw_location_text</th>\n",
              "      <th>spoken_words</th>\n",
              "      <th>normalized_text</th>\n",
              "      <th>totalwords</th>\n",
              "      <th>normalized_text_new</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>9549</td>\n",
              "      <td>32</td>\n",
              "      <td>209</td>\n",
              "      <td>Miss Hoover: No, actually, it was a little of ...</td>\n",
              "      <td>True</td>\n",
              "      <td>464</td>\n",
              "      <td>3.0</td>\n",
              "      <td>Miss Hoover</td>\n",
              "      <td>Springfield Elementary School</td>\n",
              "      <td>No, actually, it was a little of both. Sometim...</td>\n",
              "      <td>no actually it was a little of both sometimes ...</td>\n",
              "      <td>31.0</td>\n",
              "      <td>actually little sometimes disease magazine new...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>9550</td>\n",
              "      <td>32</td>\n",
              "      <td>210</td>\n",
              "      <td>Lisa Simpson: (NEAR TEARS) Where's Mr. Bergstrom?</td>\n",
              "      <td>True</td>\n",
              "      <td>9</td>\n",
              "      <td>3.0</td>\n",
              "      <td>Lisa Simpson</td>\n",
              "      <td>Springfield Elementary School</td>\n",
              "      <td>Where's Mr. Bergstrom?</td>\n",
              "      <td>wheres mr bergstrom</td>\n",
              "      <td>3.0</td>\n",
              "      <td>wheres mr bergstrom</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>9551</td>\n",
              "      <td>32</td>\n",
              "      <td>211</td>\n",
              "      <td>Miss Hoover: I don't know. Although I'd sure l...</td>\n",
              "      <td>True</td>\n",
              "      <td>464</td>\n",
              "      <td>3.0</td>\n",
              "      <td>Miss Hoover</td>\n",
              "      <td>Springfield Elementary School</td>\n",
              "      <td>I don't know. Although I'd sure like to talk t...</td>\n",
              "      <td>i dont know although id sure like to talk to h...</td>\n",
              "      <td>22.0</td>\n",
              "      <td>dont know although id sure like talk didnt tou...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>9552</td>\n",
              "      <td>32</td>\n",
              "      <td>212</td>\n",
              "      <td>Lisa Simpson: That life is worth living.</td>\n",
              "      <td>True</td>\n",
              "      <td>9</td>\n",
              "      <td>3.0</td>\n",
              "      <td>Lisa Simpson</td>\n",
              "      <td>Springfield Elementary School</td>\n",
              "      <td>That life is worth living.</td>\n",
              "      <td>that life is worth living</td>\n",
              "      <td>5.0</td>\n",
              "      <td>life worth living</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>9553</td>\n",
              "      <td>32</td>\n",
              "      <td>213</td>\n",
              "      <td>Edna Krabappel-Flanders: The polls will be ope...</td>\n",
              "      <td>True</td>\n",
              "      <td>40</td>\n",
              "      <td>3.0</td>\n",
              "      <td>Edna Krabappel-Flanders</td>\n",
              "      <td>Springfield Elementary School</td>\n",
              "      <td>The polls will be open from now until the end ...</td>\n",
              "      <td>the polls will be open from now until the end ...</td>\n",
              "      <td>33.0</td>\n",
              "      <td>poll open end recess case decided put thought ...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "     id  ...                                normalized_text_new\n",
              "0  9549  ...  actually little sometimes disease magazine new...\n",
              "1  9550  ...                                wheres mr bergstrom\n",
              "2  9551  ...  dont know although id sure like talk didnt tou...\n",
              "3  9552  ...                                  life worth living\n",
              "4  9553  ...  poll open end recess case decided put thought ...\n",
              "\n",
              "[5 rows x 13 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 82
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 195
        },
        "id": "p26UT9yqbrQM",
        "outputId": "6564b358-f02d-4532-b272-4ce831a073eb"
      },
      "source": [
        "# find out the most frquent name which is not simpson\n",
        "chars=pd.read_csv('characters.csv')\n",
        "chars.head()"
      ],
      "execution_count": 83,
      "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>id</th>\n",
              "      <th>name</th>\n",
              "      <th>normalized_name</th>\n",
              "      <th>sex</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>7</td>\n",
              "      <td>Children</td>\n",
              "      <td>children</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>12</td>\n",
              "      <td>Mechanical Santa</td>\n",
              "      <td>mechanical santa</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>13</td>\n",
              "      <td>Tattoo Man</td>\n",
              "      <td>tattoo man</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>16</td>\n",
              "      <td>DOCTOR ZITSOFSKY</td>\n",
              "      <td>doctor zitsofsky</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>20</td>\n",
              "      <td>Students</td>\n",
              "      <td>students</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   id              name   normalized_name  sex\n",
              "0   7          Children          children  NaN\n",
              "1  12  Mechanical Santa  mechanical santa  NaN\n",
              "2  13        Tattoo Man        tattoo man  NaN\n",
              "3  16  DOCTOR ZITSOFSKY  doctor zitsofsky  NaN\n",
              "4  20          Students          students  NaN"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 83
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "34lsNSXyDhfW",
        "outputId": "8a841708-671c-4159-89df-72ce79214974"
      },
      "source": [
        "chars.shape"
      ],
      "execution_count": 92,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(6722, 5)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 92
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xMVbkbCgDl3p"
      },
      "source": [
        " **Since most of the 'sex' column in the chars dataset is empty, thus it would not be a contributing feature hence dropped**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xUkuY0gYhKB1",
        "outputId": "d2197383-5c69-4d9b-baa2-9ca1c27f1d97"
      },
      "source": [
        "chars['sex'].isnull().sum()"
      ],
      "execution_count": 84,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "6399"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 84
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OgX2E3l1hQUC"
      },
      "source": [
        "chars=chars.drop('sex',axis=1)"
      ],
      "execution_count": 85,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 195
        },
        "id": "co2y8SCEhigH",
        "outputId": "5c8bd0a0-1350-48c2-b995-34b396572d28"
      },
      "source": [
        "chars.head()"
      ],
      "execution_count": 86,
      "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>id</th>\n",
              "      <th>name</th>\n",
              "      <th>normalized_name</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>7</td>\n",
              "      <td>Children</td>\n",
              "      <td>children</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>12</td>\n",
              "      <td>Mechanical Santa</td>\n",
              "      <td>mechanical santa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>13</td>\n",
              "      <td>Tattoo Man</td>\n",
              "      <td>tattoo man</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>16</td>\n",
              "      <td>DOCTOR ZITSOFSKY</td>\n",
              "      <td>doctor zitsofsky</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>20</td>\n",
              "      <td>Students</td>\n",
              "      <td>students</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   id              name   normalized_name\n",
              "0   7          Children          children\n",
              "1  12  Mechanical Santa  mechanical santa\n",
              "2  13        Tattoo Man        tattoo man\n",
              "3  16  DOCTOR ZITSOFSKY  doctor zitsofsky\n",
              "4  20          Students          students"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 86
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EY6jv5HUD5bx"
      },
      "source": [
        " **Splitting the normalized_name into first_name and last_name so as to seggregate the different names to find out the most popular characters by frequency apart from the simpsons**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 402
        },
        "id": "e1rlGAtShjZS",
        "outputId": "2e7bf0c2-f1b7-4819-8c6f-8862d9a6ef18"
      },
      "source": [
        "new=chars[\"normalized_name\"].str.split(\" \",n=1,expand=True)\n",
        "chars[\"first_name\"]=new[0]\n",
        "chars[\"last_name\"]=new[1]\n",
        "chars\n"
      ],
      "execution_count": 87,
      "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>id</th>\n",
              "      <th>name</th>\n",
              "      <th>normalized_name</th>\n",
              "      <th>first_name</th>\n",
              "      <th>last_name</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>7</td>\n",
              "      <td>Children</td>\n",
              "      <td>children</td>\n",
              "      <td>children</td>\n",
              "      <td>None</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>12</td>\n",
              "      <td>Mechanical Santa</td>\n",
              "      <td>mechanical santa</td>\n",
              "      <td>mechanical</td>\n",
              "      <td>santa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>13</td>\n",
              "      <td>Tattoo Man</td>\n",
              "      <td>tattoo man</td>\n",
              "      <td>tattoo</td>\n",
              "      <td>man</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>16</td>\n",
              "      <td>DOCTOR ZITSOFSKY</td>\n",
              "      <td>doctor zitsofsky</td>\n",
              "      <td>doctor</td>\n",
              "      <td>zitsofsky</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>20</td>\n",
              "      <td>Students</td>\n",
              "      <td>students</td>\n",
              "      <td>students</td>\n",
              "      <td>None</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6717</th>\n",
              "      <td>5222</td>\n",
              "      <td>Ron Rabinowitz</td>\n",
              "      <td>ron rabinowitz</td>\n",
              "      <td>ron</td>\n",
              "      <td>rabinowitz</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6718</th>\n",
              "      <td>5728</td>\n",
              "      <td>Martha Stewart</td>\n",
              "      <td>martha stewart</td>\n",
              "      <td>martha</td>\n",
              "      <td>stewart</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6719</th>\n",
              "      <td>1770</td>\n",
              "      <td>Officer Goodman</td>\n",
              "      <td>officer goodman</td>\n",
              "      <td>officer</td>\n",
              "      <td>goodman</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6720</th>\n",
              "      <td>1634</td>\n",
              "      <td>Evan Conover</td>\n",
              "      <td>evan conover</td>\n",
              "      <td>evan</td>\n",
              "      <td>conover</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6721</th>\n",
              "      <td>1868</td>\n",
              "      <td>Agent Johnson</td>\n",
              "      <td>agent johnson</td>\n",
              "      <td>agent</td>\n",
              "      <td>johnson</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>6722 rows × 5 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        id              name   normalized_name  first_name   last_name\n",
              "0        7          Children          children    children        None\n",
              "1       12  Mechanical Santa  mechanical santa  mechanical       santa\n",
              "2       13        Tattoo Man        tattoo man      tattoo         man\n",
              "3       16  DOCTOR ZITSOFSKY  doctor zitsofsky      doctor   zitsofsky\n",
              "4       20          Students          students    students        None\n",
              "...    ...               ...               ...         ...         ...\n",
              "6717  5222    Ron Rabinowitz    ron rabinowitz         ron  rabinowitz\n",
              "6718  5728    Martha Stewart    martha stewart      martha     stewart\n",
              "6719  1770   Officer Goodman   officer goodman     officer     goodman\n",
              "6720  1634      Evan Conover      evan conover        evan     conover\n",
              "6721  1868     Agent Johnson     agent johnson       agent     johnson\n",
              "\n",
              "[6722 rows x 5 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 87
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hmLtk7ZTiWnd"
      },
      "source": [
        "df_temp=chars.loc[chars['last_name'] !='simpsons']"
      ],
      "execution_count": 88,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 195
        },
        "id": "9qw0HRVgOXbo",
        "outputId": "8845adeb-8220-4555-e0bc-0d76aeb47679"
      },
      "source": [
        "df_temp.head()"
      ],
      "execution_count": 89,
      "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>id</th>\n",
              "      <th>name</th>\n",
              "      <th>normalized_name</th>\n",
              "      <th>first_name</th>\n",
              "      <th>last_name</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>7</td>\n",
              "      <td>Children</td>\n",
              "      <td>children</td>\n",
              "      <td>children</td>\n",
              "      <td>None</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>12</td>\n",
              "      <td>Mechanical Santa</td>\n",
              "      <td>mechanical santa</td>\n",
              "      <td>mechanical</td>\n",
              "      <td>santa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>13</td>\n",
              "      <td>Tattoo Man</td>\n",
              "      <td>tattoo man</td>\n",
              "      <td>tattoo</td>\n",
              "      <td>man</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>16</td>\n",
              "      <td>DOCTOR ZITSOFSKY</td>\n",
              "      <td>doctor zitsofsky</td>\n",
              "      <td>doctor</td>\n",
              "      <td>zitsofsky</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>20</td>\n",
              "      <td>Students</td>\n",
              "      <td>students</td>\n",
              "      <td>students</td>\n",
              "      <td>None</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   id              name   normalized_name  first_name  last_name\n",
              "0   7          Children          children    children       None\n",
              "1  12  Mechanical Santa  mechanical santa  mechanical      santa\n",
              "2  13        Tattoo Man        tattoo man      tattoo        man\n",
              "3  16  DOCTOR ZITSOFSKY  doctor zitsofsky      doctor  zitsofsky\n",
              "4  20          Students          students    students       None"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 89
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GqNmYTK9OaeK"
      },
      "source": [
        "# sns.countplot(df_temp['first_name'],data=df_temp)\n",
        "d=df_temp[df_temp.normalized_name== df_temp.normalized_name.max()] "
      ],
      "execution_count": 90,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 77
        },
        "id": "18XDrdLiPY06",
        "outputId": "f65729e0-5353-438b-ef9a-e7a8cc59d90e"
      },
      "source": [
        "d"
      ],
      "execution_count": 91,
      "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>id</th>\n",
              "      <th>name</th>\n",
              "      <th>normalized_name</th>\n",
              "      <th>first_name</th>\n",
              "      <th>last_name</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1450</th>\n",
              "      <td>1483</td>\n",
              "      <td>Üter</td>\n",
              "      <td>Üter</td>\n",
              "      <td>Üter</td>\n",
              "      <td>None</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        id  name normalized_name first_name last_name\n",
              "1450  1483  Üter            Üter       Üter      None"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 91
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "F07OpHK-P_oF"
      },
      "source": [
        "**Üter is the most popular character apart from Simpsons**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "F4MdxfOYEYvQ"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}