Recommender_System_End_to_End_(EDA).ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "W7GN876CUAha"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZLfRbZ95XzZY",
        "outputId": "678a39f7-cf7c-4ecf-814b-71838e64d6fb"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!ls \"/content/drive/My Drive/Recommender System End-to-End\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EySeCW6MY0ma",
        "outputId": "76df5e8f-e02a-4f99-be29-c2dd81de93d6"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Books.csv  books_dataset.csv  Ratings.csv  ratings_dataset.csv\tUsers.csv  users_dataset.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "books_df = pd.read_csv(\"/content/drive/My Drive/Recommender System End-to-End/Books.csv\")\n",
        "books_df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        },
        "id": "bICvu0FhUIXp",
        "outputId": "fbd458b7-cd4d-420a-d8d5-1767aeb0f95c"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-4-b2b20a50d7b5>:1: DtypeWarning: Columns (3) have mixed types. Specify dtype option on import or set low_memory=False.\n",
            "  books_df = pd.read_csv(\"/content/drive/My Drive/Recommender System End-to-End/Books.csv\")\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         ISBN                                         Book-Title  \\\n",
              "0  0195153448                                Classical Mythology   \n",
              "1  0002005018                                       Clara Callan   \n",
              "2  0060973129                               Decision in Normandy   \n",
              "3  0374157065  Flu: The Story of the Great Influenza Pandemic...   \n",
              "4  0393045218                             The Mummies of Urumchi   \n",
              "\n",
              "            Book-Author Year-Of-Publication                   Publisher  \\\n",
              "0    Mark P. O. Morford                2002     Oxford University Press   \n",
              "1  Richard Bruce Wright                2001       HarperFlamingo Canada   \n",
              "2          Carlo D'Este                1991             HarperPerennial   \n",
              "3      Gina Bari Kolata                1999        Farrar Straus Giroux   \n",
              "4       E. J. W. Barber                1999  W. W. Norton &amp; Company   \n",
              "\n",
              "                                         Image-URL-S  \\\n",
              "0  http://images.amazon.com/images/P/0195153448.0...   \n",
              "1  http://images.amazon.com/images/P/0002005018.0...   \n",
              "2  http://images.amazon.com/images/P/0060973129.0...   \n",
              "3  http://images.amazon.com/images/P/0374157065.0...   \n",
              "4  http://images.amazon.com/images/P/0393045218.0...   \n",
              "\n",
              "                                         Image-URL-M  \\\n",
              "0  http://images.amazon.com/images/P/0195153448.0...   \n",
              "1  http://images.amazon.com/images/P/0002005018.0...   \n",
              "2  http://images.amazon.com/images/P/0060973129.0...   \n",
              "3  http://images.amazon.com/images/P/0374157065.0...   \n",
              "4  http://images.amazon.com/images/P/0393045218.0...   \n",
              "\n",
              "                                         Image-URL-L  \n",
              "0  http://images.amazon.com/images/P/0195153448.0...  \n",
              "1  http://images.amazon.com/images/P/0002005018.0...  \n",
              "2  http://images.amazon.com/images/P/0060973129.0...  \n",
              "3  http://images.amazon.com/images/P/0374157065.0...  \n",
              "4  http://images.amazon.com/images/P/0393045218.0...  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-d213cc3c-bdf5-4ba1-b2b0-e2e2441f30c6\" class=\"colab-df-container\">\n",
              "    <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>ISBN</th>\n",
              "      <th>Book-Title</th>\n",
              "      <th>Book-Author</th>\n",
              "      <th>Year-Of-Publication</th>\n",
              "      <th>Publisher</th>\n",
              "      <th>Image-URL-S</th>\n",
              "      <th>Image-URL-M</th>\n",
              "      <th>Image-URL-L</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0195153448</td>\n",
              "      <td>Classical Mythology</td>\n",
              "      <td>Mark P. O. Morford</td>\n",
              "      <td>2002</td>\n",
              "      <td>Oxford University Press</td>\n",
              "      <td>http://images.amazon.com/images/P/0195153448.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0195153448.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0195153448.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0002005018</td>\n",
              "      <td>Clara Callan</td>\n",
              "      <td>Richard Bruce Wright</td>\n",
              "      <td>2001</td>\n",
              "      <td>HarperFlamingo Canada</td>\n",
              "      <td>http://images.amazon.com/images/P/0002005018.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0002005018.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0002005018.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0060973129</td>\n",
              "      <td>Decision in Normandy</td>\n",
              "      <td>Carlo D'Este</td>\n",
              "      <td>1991</td>\n",
              "      <td>HarperPerennial</td>\n",
              "      <td>http://images.amazon.com/images/P/0060973129.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0060973129.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0060973129.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0374157065</td>\n",
              "      <td>Flu: The Story of the Great Influenza Pandemic...</td>\n",
              "      <td>Gina Bari Kolata</td>\n",
              "      <td>1999</td>\n",
              "      <td>Farrar Straus Giroux</td>\n",
              "      <td>http://images.amazon.com/images/P/0374157065.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0374157065.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0374157065.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0393045218</td>\n",
              "      <td>The Mummies of Urumchi</td>\n",
              "      <td>E. J. W. Barber</td>\n",
              "      <td>1999</td>\n",
              "      <td>W. W. Norton &amp;amp; Company</td>\n",
              "      <td>http://images.amazon.com/images/P/0393045218.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0393045218.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0393045218.0...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d213cc3c-bdf5-4ba1-b2b0-e2e2441f30c6')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-d213cc3c-bdf5-4ba1-b2b0-e2e2441f30c6 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-d213cc3c-bdf5-4ba1-b2b0-e2e2441f30c6');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-8342a964-488b-4ad8-af69-cf62571e4432\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-8342a964-488b-4ad8-af69-cf62571e4432')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-8342a964-488b-4ad8-af69-cf62571e4432 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "books_df"
            }
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "books_df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2UOHrpPgXC1_",
        "outputId": "6c31ebb2-d154-4d07-b27a-078411da6ddd"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 271360 entries, 0 to 271359\n",
            "Data columns (total 8 columns):\n",
            " #   Column               Non-Null Count   Dtype \n",
            "---  ------               --------------   ----- \n",
            " 0   ISBN                 271360 non-null  object\n",
            " 1   Book-Title           271360 non-null  object\n",
            " 2   Book-Author          271359 non-null  object\n",
            " 3   Year-Of-Publication  271360 non-null  object\n",
            " 4   Publisher            271358 non-null  object\n",
            " 5   Image-URL-S          271360 non-null  object\n",
            " 6   Image-URL-M          271360 non-null  object\n",
            " 7   Image-URL-L          271357 non-null  object\n",
            "dtypes: object(8)\n",
            "memory usage: 16.6+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "books_df = books_df.rename(columns={'ISBN':'isbn',\n",
        "                         'Book-Title':'book_title',\n",
        "                         'Book-Author':'book_author',\n",
        "                         'Year-Of-Publication':'year_of_pub',\n",
        "                         'Publisher':'publisher',\n",
        "                         'Image-URL-S':'image_url_small',\n",
        "                         'Image-URL-M':'image_url_med',\n",
        "                         'Image-URL-L':'image_url_large',\n",
        "                         })"
      ],
      "metadata": {
        "id": "sA33lOHEZD_F"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "books_df.head(5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 382
        },
        "id": "_zlyPREwZyPi",
        "outputId": "8f3238b5-8e85-4a72-9c64-9c82f3c922d8"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         isbn                                         book_title  \\\n",
              "0  0195153448                                Classical Mythology   \n",
              "1  0002005018                                       Clara Callan   \n",
              "2  0060973129                               Decision in Normandy   \n",
              "3  0374157065  Flu: The Story of the Great Influenza Pandemic...   \n",
              "4  0393045218                             The Mummies of Urumchi   \n",
              "\n",
              "            book_author year_of_pub                   publisher  \\\n",
              "0    Mark P. O. Morford        2002     Oxford University Press   \n",
              "1  Richard Bruce Wright        2001       HarperFlamingo Canada   \n",
              "2          Carlo D'Este        1991             HarperPerennial   \n",
              "3      Gina Bari Kolata        1999        Farrar Straus Giroux   \n",
              "4       E. J. W. Barber        1999  W. W. Norton &amp; Company   \n",
              "\n",
              "                                     image_url_small  \\\n",
              "0  http://images.amazon.com/images/P/0195153448.0...   \n",
              "1  http://images.amazon.com/images/P/0002005018.0...   \n",
              "2  http://images.amazon.com/images/P/0060973129.0...   \n",
              "3  http://images.amazon.com/images/P/0374157065.0...   \n",
              "4  http://images.amazon.com/images/P/0393045218.0...   \n",
              "\n",
              "                                       image_url_med  \\\n",
              "0  http://images.amazon.com/images/P/0195153448.0...   \n",
              "1  http://images.amazon.com/images/P/0002005018.0...   \n",
              "2  http://images.amazon.com/images/P/0060973129.0...   \n",
              "3  http://images.amazon.com/images/P/0374157065.0...   \n",
              "4  http://images.amazon.com/images/P/0393045218.0...   \n",
              "\n",
              "                                     image_url_large  \n",
              "0  http://images.amazon.com/images/P/0195153448.0...  \n",
              "1  http://images.amazon.com/images/P/0002005018.0...  \n",
              "2  http://images.amazon.com/images/P/0060973129.0...  \n",
              "3  http://images.amazon.com/images/P/0374157065.0...  \n",
              "4  http://images.amazon.com/images/P/0393045218.0...  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-5a755899-d961-44a2-bb5c-ac7437dda4ca\" class=\"colab-df-container\">\n",
              "    <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>isbn</th>\n",
              "      <th>book_title</th>\n",
              "      <th>book_author</th>\n",
              "      <th>year_of_pub</th>\n",
              "      <th>publisher</th>\n",
              "      <th>image_url_small</th>\n",
              "      <th>image_url_med</th>\n",
              "      <th>image_url_large</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0195153448</td>\n",
              "      <td>Classical Mythology</td>\n",
              "      <td>Mark P. O. Morford</td>\n",
              "      <td>2002</td>\n",
              "      <td>Oxford University Press</td>\n",
              "      <td>http://images.amazon.com/images/P/0195153448.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0195153448.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0195153448.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0002005018</td>\n",
              "      <td>Clara Callan</td>\n",
              "      <td>Richard Bruce Wright</td>\n",
              "      <td>2001</td>\n",
              "      <td>HarperFlamingo Canada</td>\n",
              "      <td>http://images.amazon.com/images/P/0002005018.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0002005018.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0002005018.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0060973129</td>\n",
              "      <td>Decision in Normandy</td>\n",
              "      <td>Carlo D'Este</td>\n",
              "      <td>1991</td>\n",
              "      <td>HarperPerennial</td>\n",
              "      <td>http://images.amazon.com/images/P/0060973129.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0060973129.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0060973129.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0374157065</td>\n",
              "      <td>Flu: The Story of the Great Influenza Pandemic...</td>\n",
              "      <td>Gina Bari Kolata</td>\n",
              "      <td>1999</td>\n",
              "      <td>Farrar Straus Giroux</td>\n",
              "      <td>http://images.amazon.com/images/P/0374157065.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0374157065.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0374157065.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0393045218</td>\n",
              "      <td>The Mummies of Urumchi</td>\n",
              "      <td>E. J. W. Barber</td>\n",
              "      <td>1999</td>\n",
              "      <td>W. W. Norton &amp;amp; Company</td>\n",
              "      <td>http://images.amazon.com/images/P/0393045218.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0393045218.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0393045218.0...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5a755899-d961-44a2-bb5c-ac7437dda4ca')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-5a755899-d961-44a2-bb5c-ac7437dda4ca button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-5a755899-d961-44a2-bb5c-ac7437dda4ca');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-24bf5318-e91a-48d8-9fbd-96f1294e69c4\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-24bf5318-e91a-48d8-9fbd-96f1294e69c4')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-24bf5318-e91a-48d8-9fbd-96f1294e69c4 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "books_df"
            }
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "len(books_df['isbn'].unique())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aaV1rhhiZ1QI",
        "outputId": "5fa316c8-197b-4d74-fa44-c36ac7fae720"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "271360"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "len(books_df['publisher'].unique())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Hh5ZaI_rZ9n1",
        "outputId": "4e3f8e1e-1e6e-4224-98ba-92f49e250189"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "16808"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "books_df['year_of_pub'].unique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "80B3BJQ6bF6L",
        "outputId": "4b8ba4d2-847e-4bd4-ca2d-6f767174ae28"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([2002, 2001, 1991, 1999, 2000, 1993, 1996, 1988, 2004, 1998, 1994,\n",
              "       2003, 1997, 1983, 1979, 1995, 1982, 1985, 1992, 1986, 1978, 1980,\n",
              "       1952, 1987, 1990, 1981, 1989, 1984, 0, 1968, 1961, 1958, 1974,\n",
              "       1976, 1971, 1977, 1975, 1965, 1941, 1970, 1962, 1973, 1972, 1960,\n",
              "       1966, 1920, 1956, 1959, 1953, 1951, 1942, 1963, 1964, 1969, 1954,\n",
              "       1950, 1967, 2005, 1957, 1940, 1937, 1955, 1946, 1936, 1930, 2011,\n",
              "       1925, 1948, 1943, 1947, 1945, 1923, 2020, 1939, 1926, 1938, 2030,\n",
              "       1911, 1904, 1949, 1932, 1928, 1929, 1927, 1931, 1914, 2050, 1934,\n",
              "       1910, 1933, 1902, 1924, 1921, 1900, 2038, 2026, 1944, 1917, 1901,\n",
              "       2010, 1908, 1906, 1935, 1806, 2021, '2000', '1995', '1999', '2004',\n",
              "       '2003', '1990', '1994', '1986', '1989', '2002', '1981', '1993',\n",
              "       '1983', '1982', '1976', '1991', '1977', '1998', '1992', '1996',\n",
              "       '0', '1997', '2001', '1974', '1968', '1987', '1984', '1988',\n",
              "       '1963', '1956', '1970', '1985', '1978', '1973', '1980', '1979',\n",
              "       '1975', '1969', '1961', '1965', '1939', '1958', '1950', '1953',\n",
              "       '1966', '1971', '1959', '1972', '1955', '1957', '1945', '1960',\n",
              "       '1967', '1932', '1924', '1964', '2012', '1911', '1927', '1948',\n",
              "       '1962', '2006', '1952', '1940', '1951', '1931', '1954', '2005',\n",
              "       '1930', '1941', '1944', 'DK Publishing Inc', '1943', '1938',\n",
              "       '1900', '1942', '1923', '1920', '1933', 'Gallimard', '1909',\n",
              "       '1946', '2008', '1378', '2030', '1936', '1947', '2011', '2020',\n",
              "       '1919', '1949', '1922', '1897', '2024', '1376', '1926', '2037'],\n",
              "      dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Since the data is only jumbled between the columns, could be an entry problem, no need to replace with Nulls\n",
        "# books_df['year_of_pub'] = books_df['year_of_pub'].replace(['DK Publishing Inc','Gallimard'],np.NaN)\n",
        "# books_df = books_df.fillna(0)"
      ],
      "metadata": {
        "id": "FSyOVUCAbMWg"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pd.set_option('display.width', None)"
      ],
      "metadata": {
        "id": "xn0eIDbid_wi"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "filtered_df = books_df[books_df['year_of_pub'] == 'DK Publishing Inc']"
      ],
      "metadata": {
        "id": "n8gVE25CforC"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "books_df.loc[books_df.year_of_pub=='DK Publishing Inc']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 305
        },
        "id": "DVFPVZXEcbXE",
        "outputId": "aeebb2e8-5dc2-470c-aef6-26282b527274"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "              isbn                                         book_title book_author  \\\n",
              "209538  078946697X  DK Readers: Creating the X-Men, How It All Beg...        2000   \n",
              "221678  0789466953  DK Readers: Creating the X-Men, How Comic Book...        2000   \n",
              "\n",
              "              year_of_pub                                          publisher  \\\n",
              "209538  DK Publishing Inc  http://images.amazon.com/images/P/078946697X.0...   \n",
              "221678  DK Publishing Inc  http://images.amazon.com/images/P/0789466953.0...   \n",
              "\n",
              "                                          image_url_small  \\\n",
              "209538  http://images.amazon.com/images/P/078946697X.0...   \n",
              "221678  http://images.amazon.com/images/P/0789466953.0...   \n",
              "\n",
              "                                            image_url_med image_url_large  \n",
              "209538  http://images.amazon.com/images/P/078946697X.0...             NaN  \n",
              "221678  http://images.amazon.com/images/P/0789466953.0...             NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-5ede4eaa-a9df-4130-9be6-aa19a4f7e3fd\" class=\"colab-df-container\">\n",
              "    <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>isbn</th>\n",
              "      <th>book_title</th>\n",
              "      <th>book_author</th>\n",
              "      <th>year_of_pub</th>\n",
              "      <th>publisher</th>\n",
              "      <th>image_url_small</th>\n",
              "      <th>image_url_med</th>\n",
              "      <th>image_url_large</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>209538</th>\n",
              "      <td>078946697X</td>\n",
              "      <td>DK Readers: Creating the X-Men, How It All Beg...</td>\n",
              "      <td>2000</td>\n",
              "      <td>DK Publishing Inc</td>\n",
              "      <td>http://images.amazon.com/images/P/078946697X.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/078946697X.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/078946697X.0...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>221678</th>\n",
              "      <td>0789466953</td>\n",
              "      <td>DK Readers: Creating the X-Men, How Comic Book...</td>\n",
              "      <td>2000</td>\n",
              "      <td>DK Publishing Inc</td>\n",
              "      <td>http://images.amazon.com/images/P/0789466953.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0789466953.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0789466953.0...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5ede4eaa-a9df-4130-9be6-aa19a4f7e3fd')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-5ede4eaa-a9df-4130-9be6-aa19a4f7e3fd button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-5ede4eaa-a9df-4130-9be6-aa19a4f7e3fd');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-7c6e6475-58f6-42e3-8e22-972124bd7788\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-7c6e6475-58f6-42e3-8e22-972124bd7788')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-7c6e6475-58f6-42e3-8e22-972124bd7788 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "repr_error": "'str' object has no attribute 'empty'"
            }
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "books_df.loc[books_df.isbn == '078946697X','book_author'] = 'Michael Teeitelbaum'\n",
        "books_df.loc[books_df.isbn == '078946697X','year_of_pub'] = '2000'\n",
        "books_df.loc[books_df.isbn == '078946697X','publisher'] = 'DK Publishing Inc'\n",
        "books_df.loc[books_df.isbn == '078946697X','book_title'] = 'DK Readers: Creating the X-Men, How It All Began (Level 4: Proficient Readers)'"
      ],
      "metadata": {
        "id": "wCcoBNyVdm3w"
      },
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "books_df.loc[books_df.isbn == '0789466953','book_author'] = 'James Buckley'\n",
        "books_df.loc[books_df.isbn == '0789466953','year_of_pub'] = '2000'\n",
        "books_df.loc[books_df.isbn == '0789466953','publisher'] = 'DK Publishing Inc'\n",
        "books_df.loc[books_df.isbn == '0789466953','book_title'] = 'DK Readers: Creating the X-Men, How Comic Books Come to Life (Level 4: Proficient Readers)'"
      ],
      "metadata": {
        "id": "RY9aJrBag0_V"
      },
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "books_df.loc[books_df.year_of_pub=='DK Publishing Inc']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 53
        },
        "id": "34Al74hFgyP9",
        "outputId": "e41da258-7a9e-472d-cad1-c08288d861da"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Empty DataFrame\n",
              "Columns: [isbn, book_title, book_author, year_of_pub, publisher, image_url_small, image_url_med, image_url_large]\n",
              "Index: []"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-8e233f75-9bbe-4b85-a107-d2eb23f8abf8\" class=\"colab-df-container\">\n",
              "    <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>isbn</th>\n",
              "      <th>book_title</th>\n",
              "      <th>book_author</th>\n",
              "      <th>year_of_pub</th>\n",
              "      <th>publisher</th>\n",
              "      <th>image_url_small</th>\n",
              "      <th>image_url_med</th>\n",
              "      <th>image_url_large</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8e233f75-9bbe-4b85-a107-d2eb23f8abf8')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-8e233f75-9bbe-4b85-a107-d2eb23f8abf8 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-8e233f75-9bbe-4b85-a107-d2eb23f8abf8');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "repr_error": "'str' object has no attribute 'empty'"
            }
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "books_df.loc[books_df.year_of_pub=='Gallimard']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 152
        },
        "id": "X4YUgtMOczVG",
        "outputId": "e4318cef-9312-4773-f1e3-2b16b65736a1"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "              isbn                                         book_title book_author year_of_pub  \\\n",
              "220731  2070426769  Peuple du ciel, suivi de 'Les Bergers\\\";Jean-M...        2003   Gallimard   \n",
              "\n",
              "                                                publisher  \\\n",
              "220731  http://images.amazon.com/images/P/2070426769.0...   \n",
              "\n",
              "                                          image_url_small  \\\n",
              "220731  http://images.amazon.com/images/P/2070426769.0...   \n",
              "\n",
              "                                            image_url_med image_url_large  \n",
              "220731  http://images.amazon.com/images/P/2070426769.0...             NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-7db04bfe-c429-42c5-b1f8-87a36f4d9079\" class=\"colab-df-container\">\n",
              "    <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>isbn</th>\n",
              "      <th>book_title</th>\n",
              "      <th>book_author</th>\n",
              "      <th>year_of_pub</th>\n",
              "      <th>publisher</th>\n",
              "      <th>image_url_small</th>\n",
              "      <th>image_url_med</th>\n",
              "      <th>image_url_large</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>220731</th>\n",
              "      <td>2070426769</td>\n",
              "      <td>Peuple du ciel, suivi de 'Les Bergers\\\";Jean-M...</td>\n",
              "      <td>2003</td>\n",
              "      <td>Gallimard</td>\n",
              "      <td>http://images.amazon.com/images/P/2070426769.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/2070426769.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/2070426769.0...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7db04bfe-c429-42c5-b1f8-87a36f4d9079')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-7db04bfe-c429-42c5-b1f8-87a36f4d9079 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-7db04bfe-c429-42c5-b1f8-87a36f4d9079');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "repr_error": "'str' object has no attribute 'empty'"
            }
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "books_df.loc[books_df.isbn == '2070426769','book_author'] = 'Jean-Marie Gustave Le ClÃ?Â©zio'\n",
        "books_df.loc[books_df.isbn == '2070426769','year_of_pub'] = '2003'\n",
        "books_df.loc[books_df.isbn == '2070426769','publisher'] = 'Gallimard'\n",
        "books_df.loc[books_df.isbn == '2070426769','book_title'] = \"Peuple du ciel, suivi de 'Les Bergers\""
      ],
      "metadata": {
        "id": "5f7wrtEnhC4I"
      },
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "books_df['year_of_pub'] = books_df['year_of_pub'].astype(int)"
      ],
      "metadata": {
        "id": "bSOHNJ9Ma00c"
      },
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sns.histplot(books_df,x='year_of_pub',binrange=(1900,2050))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 467
        },
        "id": "8FhrHLCFaM2j",
        "outputId": "003b7065-7886-4563-bd6e-a2e23618f0d9"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='year_of_pub', ylabel='Count'>"
            ]
          },
          "metadata": {},
          "execution_count": 21
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "books_df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 382
        },
        "id": "jrU5HhI4atqk",
        "outputId": "c553d552-64a8-45a5-91dc-425fcfaf7611"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         isbn                                         book_title           book_author  \\\n",
              "0  0195153448                                Classical Mythology    Mark P. O. Morford   \n",
              "1  0002005018                                       Clara Callan  Richard Bruce Wright   \n",
              "2  0060973129                               Decision in Normandy          Carlo D'Este   \n",
              "3  0374157065  Flu: The Story of the Great Influenza Pandemic...      Gina Bari Kolata   \n",
              "4  0393045218                             The Mummies of Urumchi       E. J. W. Barber   \n",
              "\n",
              "   year_of_pub                   publisher                                    image_url_small  \\\n",
              "0         2002     Oxford University Press  http://images.amazon.com/images/P/0195153448.0...   \n",
              "1         2001       HarperFlamingo Canada  http://images.amazon.com/images/P/0002005018.0...   \n",
              "2         1991             HarperPerennial  http://images.amazon.com/images/P/0060973129.0...   \n",
              "3         1999        Farrar Straus Giroux  http://images.amazon.com/images/P/0374157065.0...   \n",
              "4         1999  W. W. Norton &amp; Company  http://images.amazon.com/images/P/0393045218.0...   \n",
              "\n",
              "                                       image_url_med  \\\n",
              "0  http://images.amazon.com/images/P/0195153448.0...   \n",
              "1  http://images.amazon.com/images/P/0002005018.0...   \n",
              "2  http://images.amazon.com/images/P/0060973129.0...   \n",
              "3  http://images.amazon.com/images/P/0374157065.0...   \n",
              "4  http://images.amazon.com/images/P/0393045218.0...   \n",
              "\n",
              "                                     image_url_large  \n",
              "0  http://images.amazon.com/images/P/0195153448.0...  \n",
              "1  http://images.amazon.com/images/P/0002005018.0...  \n",
              "2  http://images.amazon.com/images/P/0060973129.0...  \n",
              "3  http://images.amazon.com/images/P/0374157065.0...  \n",
              "4  http://images.amazon.com/images/P/0393045218.0...  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-0da997d1-01f1-4df7-b37a-f9cdcf394bfc\" class=\"colab-df-container\">\n",
              "    <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>isbn</th>\n",
              "      <th>book_title</th>\n",
              "      <th>book_author</th>\n",
              "      <th>year_of_pub</th>\n",
              "      <th>publisher</th>\n",
              "      <th>image_url_small</th>\n",
              "      <th>image_url_med</th>\n",
              "      <th>image_url_large</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0195153448</td>\n",
              "      <td>Classical Mythology</td>\n",
              "      <td>Mark P. O. Morford</td>\n",
              "      <td>2002</td>\n",
              "      <td>Oxford University Press</td>\n",
              "      <td>http://images.amazon.com/images/P/0195153448.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0195153448.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0195153448.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0002005018</td>\n",
              "      <td>Clara Callan</td>\n",
              "      <td>Richard Bruce Wright</td>\n",
              "      <td>2001</td>\n",
              "      <td>HarperFlamingo Canada</td>\n",
              "      <td>http://images.amazon.com/images/P/0002005018.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0002005018.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0002005018.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0060973129</td>\n",
              "      <td>Decision in Normandy</td>\n",
              "      <td>Carlo D'Este</td>\n",
              "      <td>1991</td>\n",
              "      <td>HarperPerennial</td>\n",
              "      <td>http://images.amazon.com/images/P/0060973129.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0060973129.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0060973129.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0374157065</td>\n",
              "      <td>Flu: The Story of the Great Influenza Pandemic...</td>\n",
              "      <td>Gina Bari Kolata</td>\n",
              "      <td>1999</td>\n",
              "      <td>Farrar Straus Giroux</td>\n",
              "      <td>http://images.amazon.com/images/P/0374157065.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0374157065.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0374157065.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0393045218</td>\n",
              "      <td>The Mummies of Urumchi</td>\n",
              "      <td>E. J. W. Barber</td>\n",
              "      <td>1999</td>\n",
              "      <td>W. W. Norton &amp;amp; Company</td>\n",
              "      <td>http://images.amazon.com/images/P/0393045218.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0393045218.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0393045218.0...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0da997d1-01f1-4df7-b37a-f9cdcf394bfc')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-0da997d1-01f1-4df7-b37a-f9cdcf394bfc button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-0da997d1-01f1-4df7-b37a-f9cdcf394bfc');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-e177331d-56e4-49ab-9143-8c2281aa50ea\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-e177331d-56e4-49ab-9143-8c2281aa50ea')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-e177331d-56e4-49ab-9143-8c2281aa50ea button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "books_df"
            }
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "books_df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5mvyFGZUhlHJ",
        "outputId": "b18f18fd-7ee2-4f44-8c58-da5f343fcd4c"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 271360 entries, 0 to 271359\n",
            "Data columns (total 8 columns):\n",
            " #   Column           Non-Null Count   Dtype \n",
            "---  ------           --------------   ----- \n",
            " 0   isbn             271360 non-null  object\n",
            " 1   book_title       271360 non-null  object\n",
            " 2   book_author      271359 non-null  object\n",
            " 3   year_of_pub      271360 non-null  int64 \n",
            " 4   publisher        271358 non-null  object\n",
            " 5   image_url_small  271360 non-null  object\n",
            " 6   image_url_med    271360 non-null  object\n",
            " 7   image_url_large  271357 non-null  object\n",
            "dtypes: int64(1), object(7)\n",
            "memory usage: 16.6+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(sorted(books_df['year_of_pub'].unique()))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "R1_I0cmGhwg7",
        "outputId": "e20f6b6d-2764-4de8-8451-70299dfa4f3d"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[0, 1376, 1378, 1806, 1897, 1900, 1901, 1902, 1904, 1906, 1908, 1909, 1910, 1911, 1914, 1917, 1919, 1920, 1921, 1922, 1923, 1924, 1925, 1926, 1927, 1928, 1929, 1930, 1931, 1932, 1933, 1934, 1935, 1936, 1937, 1938, 1939, 1940, 1941, 1942, 1943, 1944, 1945, 1946, 1947, 1948, 1949, 1950, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1959, 1960, 1961, 1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1976, 1977, 1978, 1979, 1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2008, 2010, 2011, 2012, 2020, 2021, 2024, 2026, 2030, 2037, 2038, 2050]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "books_df.loc[(books_df.year_of_pub==0) | (books_df.year_of_pub > 2006),'year_of_pub'] = np.NaN"
      ],
      "metadata": {
        "id": "SOa7quODh1Se"
      },
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "books_df['year_of_pub'].fillna(round(books_df.year_of_pub.mean()),inplace=True)"
      ],
      "metadata": {
        "id": "qQ3xTqQgiFF8"
      },
      "execution_count": 26,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "books_df.year_of_pub.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YEggRasqiufD",
        "outputId": "4367282d-bc27-439e-9098-7f6c94344fc2"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# now we can see that there are no books in the records with year_of_pub as Nulls"
      ],
      "metadata": {
        "id": "pwJ_gNb0i6yP"
      },
      "execution_count": 28,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df = books_df"
      ],
      "metadata": {
        "id": "-Z2DToI3jBi3"
      },
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ni1QfhtZjD-o",
        "outputId": "f0ac8ce0-8aab-4791-ff44-dc3ffefe21ff"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 271360 entries, 0 to 271359\n",
            "Data columns (total 8 columns):\n",
            " #   Column           Non-Null Count   Dtype  \n",
            "---  ------           --------------   -----  \n",
            " 0   isbn             271360 non-null  object \n",
            " 1   book_title       271360 non-null  object \n",
            " 2   book_author      271359 non-null  object \n",
            " 3   year_of_pub      271360 non-null  float64\n",
            " 4   publisher        271358 non-null  object \n",
            " 5   image_url_small  271360 non-null  object \n",
            " 6   image_url_med    271360 non-null  object \n",
            " 7   image_url_large  271357 non-null  object \n",
            "dtypes: float64(1), object(7)\n",
            "memory usage: 16.6+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.loc[df.publisher.isnull(),:]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 166
        },
        "id": "IfVEnyzQjTOt",
        "outputId": "c026ab64-cb22-4bd0-dfe1-b238dc6ed1b5"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "              isbn       book_title      book_author  year_of_pub publisher  \\\n",
              "128890  193169656X      Tyrant Moon  Elaine Corvidae       2002.0       NaN   \n",
              "129037  1931696993  Finders Keepers  Linnea Sinclair       2001.0       NaN   \n",
              "\n",
              "                                          image_url_small  \\\n",
              "128890  http://images.amazon.com/images/P/193169656X.0...   \n",
              "129037  http://images.amazon.com/images/P/1931696993.0...   \n",
              "\n",
              "                                            image_url_med  \\\n",
              "128890  http://images.amazon.com/images/P/193169656X.0...   \n",
              "129037  http://images.amazon.com/images/P/1931696993.0...   \n",
              "\n",
              "                                          image_url_large  \n",
              "128890  http://images.amazon.com/images/P/193169656X.0...  \n",
              "129037  http://images.amazon.com/images/P/1931696993.0...  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-c2784c6d-a357-4ae0-9e49-a0a588e7e2c5\" class=\"colab-df-container\">\n",
              "    <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>isbn</th>\n",
              "      <th>book_title</th>\n",
              "      <th>book_author</th>\n",
              "      <th>year_of_pub</th>\n",
              "      <th>publisher</th>\n",
              "      <th>image_url_small</th>\n",
              "      <th>image_url_med</th>\n",
              "      <th>image_url_large</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>128890</th>\n",
              "      <td>193169656X</td>\n",
              "      <td>Tyrant Moon</td>\n",
              "      <td>Elaine Corvidae</td>\n",
              "      <td>2002.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>http://images.amazon.com/images/P/193169656X.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/193169656X.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/193169656X.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>129037</th>\n",
              "      <td>1931696993</td>\n",
              "      <td>Finders Keepers</td>\n",
              "      <td>Linnea Sinclair</td>\n",
              "      <td>2001.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>http://images.amazon.com/images/P/1931696993.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/1931696993.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/1931696993.0...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c2784c6d-a357-4ae0-9e49-a0a588e7e2c5')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-c2784c6d-a357-4ae0-9e49-a0a588e7e2c5 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-c2784c6d-a357-4ae0-9e49-a0a588e7e2c5');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-adfc8b8b-b7e5-427a-afd4-9e6daca5202c\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-adfc8b8b-b7e5-427a-afd4-9e6daca5202c')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-adfc8b8b-b7e5-427a-afd4-9e6daca5202c button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "repr_error": "'str' object has no attribute 'empty'"
            }
          },
          "metadata": {},
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.loc[df.book_title=='Tyrant Moon',:]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 118
        },
        "id": "Qaozub_IjHgZ",
        "outputId": "52bb65b0-a7dd-4b0c-d3e3-a116548158db"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "              isbn   book_title      book_author  year_of_pub publisher  \\\n",
              "128890  193169656X  Tyrant Moon  Elaine Corvidae       2002.0       NaN   \n",
              "\n",
              "                                          image_url_small  \\\n",
              "128890  http://images.amazon.com/images/P/193169656X.0...   \n",
              "\n",
              "                                            image_url_med  \\\n",
              "128890  http://images.amazon.com/images/P/193169656X.0...   \n",
              "\n",
              "                                          image_url_large  \n",
              "128890  http://images.amazon.com/images/P/193169656X.0...  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-6464d718-60c9-4fc8-9b22-b37f6ac5d9b2\" class=\"colab-df-container\">\n",
              "    <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>isbn</th>\n",
              "      <th>book_title</th>\n",
              "      <th>book_author</th>\n",
              "      <th>year_of_pub</th>\n",
              "      <th>publisher</th>\n",
              "      <th>image_url_small</th>\n",
              "      <th>image_url_med</th>\n",
              "      <th>image_url_large</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>128890</th>\n",
              "      <td>193169656X</td>\n",
              "      <td>Tyrant Moon</td>\n",
              "      <td>Elaine Corvidae</td>\n",
              "      <td>2002.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>http://images.amazon.com/images/P/193169656X.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/193169656X.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/193169656X.0...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6464d718-60c9-4fc8-9b22-b37f6ac5d9b2')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-6464d718-60c9-4fc8-9b22-b37f6ac5d9b2 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-6464d718-60c9-4fc8-9b22-b37f6ac5d9b2');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "repr_error": "'str' object has no attribute 'empty'"
            }
          },
          "metadata": {},
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.loc[df.book_title=='Finders Keepers',:]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "Yy2ajCTejObA",
        "outputId": "cd46c741-f10f-49f5-bdbf-ef72a3d8bbb4"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "              isbn       book_title       book_author  year_of_pub  \\\n",
              "10799   082177364X  Finders Keepers     Fern Michaels       2002.0   \n",
              "42019   0070465037  Finders Keepers  Barbara Nickolae       1989.0   \n",
              "58264   0688118461  Finders Keepers       Emily Rodda       1993.0   \n",
              "66678   1575663236  Finders Keepers     Fern Michaels       1998.0   \n",
              "129037  1931696993  Finders Keepers   Linnea Sinclair       2001.0   \n",
              "134309  0156309505  Finders Keepers              Will       1989.0   \n",
              "173473  0973146907  Finders Keepers  Sean M. Costello       2002.0   \n",
              "195885  0061083909  Finders Keepers       Sharon Sala       2003.0   \n",
              "211874  0373261160  Finders Keepers  Elizabeth Travis       1993.0   \n",
              "\n",
              "                                publisher                                    image_url_small  \\\n",
              "10799                         Zebra Books  http://images.amazon.com/images/P/082177364X.0...   \n",
              "42019               McGraw-Hill Companies  http://images.amazon.com/images/P/0070465037.0...   \n",
              "58264        Harpercollins Juvenile Books  http://images.amazon.com/images/P/0688118461.0...   \n",
              "66678   Kensington Publishing Corporation  http://images.amazon.com/images/P/1575663236.0...   \n",
              "129037                                NaN  http://images.amazon.com/images/P/1931696993.0...   \n",
              "134309                      Voyager Books  http://images.amazon.com/images/P/0156309505.0...   \n",
              "173473             Red Tower Publications  http://images.amazon.com/images/P/0973146907.0...   \n",
              "195885                        HarperTorch  http://images.amazon.com/images/P/0061083909.0...   \n",
              "211874                  Worldwide Library  http://images.amazon.com/images/P/0373261160.0...   \n",
              "\n",
              "                                            image_url_med  \\\n",
              "10799   http://images.amazon.com/images/P/082177364X.0...   \n",
              "42019   http://images.amazon.com/images/P/0070465037.0...   \n",
              "58264   http://images.amazon.com/images/P/0688118461.0...   \n",
              "66678   http://images.amazon.com/images/P/1575663236.0...   \n",
              "129037  http://images.amazon.com/images/P/1931696993.0...   \n",
              "134309  http://images.amazon.com/images/P/0156309505.0...   \n",
              "173473  http://images.amazon.com/images/P/0973146907.0...   \n",
              "195885  http://images.amazon.com/images/P/0061083909.0...   \n",
              "211874  http://images.amazon.com/images/P/0373261160.0...   \n",
              "\n",
              "                                          image_url_large  \n",
              "10799   http://images.amazon.com/images/P/082177364X.0...  \n",
              "42019   http://images.amazon.com/images/P/0070465037.0...  \n",
              "58264   http://images.amazon.com/images/P/0688118461.0...  \n",
              "66678   http://images.amazon.com/images/P/1575663236.0...  \n",
              "129037  http://images.amazon.com/images/P/1931696993.0...  \n",
              "134309  http://images.amazon.com/images/P/0156309505.0...  \n",
              "173473  http://images.amazon.com/images/P/0973146907.0...  \n",
              "195885  http://images.amazon.com/images/P/0061083909.0...  \n",
              "211874  http://images.amazon.com/images/P/0373261160.0...  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-95e712f7-dbc4-440e-8cb9-27052f2f88bc\" class=\"colab-df-container\">\n",
              "    <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>isbn</th>\n",
              "      <th>book_title</th>\n",
              "      <th>book_author</th>\n",
              "      <th>year_of_pub</th>\n",
              "      <th>publisher</th>\n",
              "      <th>image_url_small</th>\n",
              "      <th>image_url_med</th>\n",
              "      <th>image_url_large</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>10799</th>\n",
              "      <td>082177364X</td>\n",
              "      <td>Finders Keepers</td>\n",
              "      <td>Fern Michaels</td>\n",
              "      <td>2002.0</td>\n",
              "      <td>Zebra Books</td>\n",
              "      <td>http://images.amazon.com/images/P/082177364X.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/082177364X.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/082177364X.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42019</th>\n",
              "      <td>0070465037</td>\n",
              "      <td>Finders Keepers</td>\n",
              "      <td>Barbara Nickolae</td>\n",
              "      <td>1989.0</td>\n",
              "      <td>McGraw-Hill Companies</td>\n",
              "      <td>http://images.amazon.com/images/P/0070465037.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0070465037.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0070465037.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58264</th>\n",
              "      <td>0688118461</td>\n",
              "      <td>Finders Keepers</td>\n",
              "      <td>Emily Rodda</td>\n",
              "      <td>1993.0</td>\n",
              "      <td>Harpercollins Juvenile Books</td>\n",
              "      <td>http://images.amazon.com/images/P/0688118461.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0688118461.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0688118461.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>66678</th>\n",
              "      <td>1575663236</td>\n",
              "      <td>Finders Keepers</td>\n",
              "      <td>Fern Michaels</td>\n",
              "      <td>1998.0</td>\n",
              "      <td>Kensington Publishing Corporation</td>\n",
              "      <td>http://images.amazon.com/images/P/1575663236.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/1575663236.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/1575663236.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>129037</th>\n",
              "      <td>1931696993</td>\n",
              "      <td>Finders Keepers</td>\n",
              "      <td>Linnea Sinclair</td>\n",
              "      <td>2001.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>http://images.amazon.com/images/P/1931696993.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/1931696993.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/1931696993.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>134309</th>\n",
              "      <td>0156309505</td>\n",
              "      <td>Finders Keepers</td>\n",
              "      <td>Will</td>\n",
              "      <td>1989.0</td>\n",
              "      <td>Voyager Books</td>\n",
              "      <td>http://images.amazon.com/images/P/0156309505.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0156309505.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0156309505.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>173473</th>\n",
              "      <td>0973146907</td>\n",
              "      <td>Finders Keepers</td>\n",
              "      <td>Sean M. Costello</td>\n",
              "      <td>2002.0</td>\n",
              "      <td>Red Tower Publications</td>\n",
              "      <td>http://images.amazon.com/images/P/0973146907.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0973146907.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0973146907.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>195885</th>\n",
              "      <td>0061083909</td>\n",
              "      <td>Finders Keepers</td>\n",
              "      <td>Sharon Sala</td>\n",
              "      <td>2003.0</td>\n",
              "      <td>HarperTorch</td>\n",
              "      <td>http://images.amazon.com/images/P/0061083909.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0061083909.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0061083909.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>211874</th>\n",
              "      <td>0373261160</td>\n",
              "      <td>Finders Keepers</td>\n",
              "      <td>Elizabeth Travis</td>\n",
              "      <td>1993.0</td>\n",
              "      <td>Worldwide Library</td>\n",
              "      <td>http://images.amazon.com/images/P/0373261160.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0373261160.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0373261160.0...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-95e712f7-dbc4-440e-8cb9-27052f2f88bc')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-95e712f7-dbc4-440e-8cb9-27052f2f88bc button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-95e712f7-dbc4-440e-8cb9-27052f2f88bc');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-afbb326b-0cb4-4754-9475-c4c6b1558bf2\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-afbb326b-0cb4-4754-9475-c4c6b1558bf2')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-afbb326b-0cb4-4754-9475-c4c6b1558bf2 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 9,\n  \"fields\": [\n    {\n      \"column\": \"isbn\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 9,\n        \"samples\": [\n          \"0061083909\",\n          \"0070465037\",\n          \"0156309505\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"book_title\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Finders Keepers\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"book_author\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 8,\n        \"samples\": [\n          \"Barbara Nickolae\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"year_of_pub\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5.722761571129799,\n        \"min\": 1989.0,\n        \"max\": 2003.0,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          2002.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"publisher\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 8,\n        \"samples\": [\n          \"McGraw-Hill Companies\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"image_url_small\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 9,\n        \"samples\": [\n          \"http://images.amazon.com/images/P/0061083909.01.THUMBZZZ.jpg\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"image_url_med\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 9,\n        \"samples\": [\n          \"http://images.amazon.com/images/P/0061083909.01.MZZZZZZZ.jpg\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"image_url_large\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 9,\n        \"samples\": [\n          \"http://images.amazon.com/images/P/0061083909.01.LZZZZZZZ.jpg\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.loc[df.book_author=='Elaine Corvidae',:]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 233
        },
        "id": "fr9u9xC9j6mi",
        "outputId": "2a6d9017-912a-4552-93d9-8142e48862f1"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "              isbn        book_title      book_author  year_of_pub                publisher  \\\n",
              "126762  1931696934  Winter's Orphans  Elaine Corvidae       2001.0               Novelbooks   \n",
              "128890  193169656X       Tyrant Moon  Elaine Corvidae       2002.0                      NaN   \n",
              "129001  0759901880           Wolfkin  Elaine Corvidae       2001.0  Hard Shell Word Factory   \n",
              "\n",
              "                                          image_url_small  \\\n",
              "126762  http://images.amazon.com/images/P/1931696934.0...   \n",
              "128890  http://images.amazon.com/images/P/193169656X.0...   \n",
              "129001  http://images.amazon.com/images/P/0759901880.0...   \n",
              "\n",
              "                                            image_url_med  \\\n",
              "126762  http://images.amazon.com/images/P/1931696934.0...   \n",
              "128890  http://images.amazon.com/images/P/193169656X.0...   \n",
              "129001  http://images.amazon.com/images/P/0759901880.0...   \n",
              "\n",
              "                                          image_url_large  \n",
              "126762  http://images.amazon.com/images/P/1931696934.0...  \n",
              "128890  http://images.amazon.com/images/P/193169656X.0...  \n",
              "129001  http://images.amazon.com/images/P/0759901880.0...  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-6566d6ef-5f9b-40f2-b573-8c404dafbfda\" class=\"colab-df-container\">\n",
              "    <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>isbn</th>\n",
              "      <th>book_title</th>\n",
              "      <th>book_author</th>\n",
              "      <th>year_of_pub</th>\n",
              "      <th>publisher</th>\n",
              "      <th>image_url_small</th>\n",
              "      <th>image_url_med</th>\n",
              "      <th>image_url_large</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>126762</th>\n",
              "      <td>1931696934</td>\n",
              "      <td>Winter's Orphans</td>\n",
              "      <td>Elaine Corvidae</td>\n",
              "      <td>2001.0</td>\n",
              "      <td>Novelbooks</td>\n",
              "      <td>http://images.amazon.com/images/P/1931696934.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/1931696934.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/1931696934.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>128890</th>\n",
              "      <td>193169656X</td>\n",
              "      <td>Tyrant Moon</td>\n",
              "      <td>Elaine Corvidae</td>\n",
              "      <td>2002.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>http://images.amazon.com/images/P/193169656X.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/193169656X.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/193169656X.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>129001</th>\n",
              "      <td>0759901880</td>\n",
              "      <td>Wolfkin</td>\n",
              "      <td>Elaine Corvidae</td>\n",
              "      <td>2001.0</td>\n",
              "      <td>Hard Shell Word Factory</td>\n",
              "      <td>http://images.amazon.com/images/P/0759901880.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0759901880.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0759901880.0...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6566d6ef-5f9b-40f2-b573-8c404dafbfda')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-6566d6ef-5f9b-40f2-b573-8c404dafbfda button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-6566d6ef-5f9b-40f2-b573-8c404dafbfda');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-1f246068-8d90-4685-b149-bf628bc70b0d\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-1f246068-8d90-4685-b149-bf628bc70b0d')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-1f246068-8d90-4685-b149-bf628bc70b0d button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 3,\n  \"fields\": [\n    {\n      \"column\": \"isbn\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"1931696934\",\n          \"193169656X\",\n          \"0759901880\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"book_title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Winter's Orphans\",\n          \"Tyrant Moon\",\n          \"Wolfkin\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"book_author\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Elaine Corvidae\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"year_of_pub\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.5773502691896258,\n        \"min\": 2001.0,\n        \"max\": 2002.0,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          2002.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"publisher\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"Hard Shell Word Factory\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"image_url_small\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"http://images.amazon.com/images/P/1931696934.01.THUMBZZZ.jpg\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"image_url_med\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"http://images.amazon.com/images/P/1931696934.01.MZZZZZZZ.jpg\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"image_url_large\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"http://images.amazon.com/images/P/1931696934.01.LZZZZZZZ.jpg\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.loc[df.book_author=='Linnea Sinclair',:]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 118
        },
        "id": "pHxlHXLlj_0y",
        "outputId": "43d796b5-4f2e-407f-8751-d59f5e80f806"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "              isbn       book_title      book_author  year_of_pub publisher  \\\n",
              "129037  1931696993  Finders Keepers  Linnea Sinclair       2001.0       NaN   \n",
              "\n",
              "                                          image_url_small  \\\n",
              "129037  http://images.amazon.com/images/P/1931696993.0...   \n",
              "\n",
              "                                            image_url_med  \\\n",
              "129037  http://images.amazon.com/images/P/1931696993.0...   \n",
              "\n",
              "                                          image_url_large  \n",
              "129037  http://images.amazon.com/images/P/1931696993.0...  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-04777507-df4d-4998-8753-0d45366607d4\" class=\"colab-df-container\">\n",
              "    <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>isbn</th>\n",
              "      <th>book_title</th>\n",
              "      <th>book_author</th>\n",
              "      <th>year_of_pub</th>\n",
              "      <th>publisher</th>\n",
              "      <th>image_url_small</th>\n",
              "      <th>image_url_med</th>\n",
              "      <th>image_url_large</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>129037</th>\n",
              "      <td>1931696993</td>\n",
              "      <td>Finders Keepers</td>\n",
              "      <td>Linnea Sinclair</td>\n",
              "      <td>2001.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>http://images.amazon.com/images/P/1931696993.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/1931696993.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/1931696993.0...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-04777507-df4d-4998-8753-0d45366607d4')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-04777507-df4d-4998-8753-0d45366607d4 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-04777507-df4d-4998-8753-0d45366607d4');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "repr_error": "'str' object has no attribute 'empty'"
            }
          },
          "metadata": {},
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.loc[df.publisher.isnull(),'publisher'] = 'other'"
      ],
      "metadata": {
        "id": "OkzlWp0dkIgV"
      },
      "execution_count": 36,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.loc[df.publisher.isnull(),:]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 53
        },
        "id": "S-ftmWymkbWm",
        "outputId": "bdb055f0-e4d3-4c89-f2b8-66785859e0ed"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Empty DataFrame\n",
              "Columns: [isbn, book_title, book_author, year_of_pub, publisher, image_url_small, image_url_med, image_url_large]\n",
              "Index: []"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-5d1f20d8-4bd0-49b8-bd5b-a80fc16981ca\" class=\"colab-df-container\">\n",
              "    <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>isbn</th>\n",
              "      <th>book_title</th>\n",
              "      <th>book_author</th>\n",
              "      <th>year_of_pub</th>\n",
              "      <th>publisher</th>\n",
              "      <th>image_url_small</th>\n",
              "      <th>image_url_med</th>\n",
              "      <th>image_url_large</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5d1f20d8-4bd0-49b8-bd5b-a80fc16981ca')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-5d1f20d8-4bd0-49b8-bd5b-a80fc16981ca button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-5d1f20d8-4bd0-49b8-bd5b-a80fc16981ca');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "repr_error": "'str' object has no attribute 'empty'"
            }
          },
          "metadata": {},
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Now that we have dealt with cleaning the books dataset, let's check the users and ratings as well"
      ],
      "metadata": {
        "id": "u4r0JWfTkd55"
      },
      "execution_count": 38,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "users_df = pd.read_csv(\"/content/drive/My Drive/Recommender System End-to-End/Users.csv\")"
      ],
      "metadata": {
        "id": "S_DkgplPl6zb"
      },
      "execution_count": 39,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "ratings_df = pd.read_csv(\"/content/drive/My Drive/Recommender System End-to-End/Ratings.csv\")"
      ],
      "metadata": {
        "id": "y9QGAc9Nl9rr"
      },
      "execution_count": 40,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "users_df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RGLr7ZtBmBB9",
        "outputId": "342abad3-9b7f-4a64-b62a-4eeccfda48bd"
      },
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 278858 entries, 0 to 278857\n",
            "Data columns (total 3 columns):\n",
            " #   Column    Non-Null Count   Dtype  \n",
            "---  ------    --------------   -----  \n",
            " 0   User-ID   278858 non-null  int64  \n",
            " 1   Location  278858 non-null  object \n",
            " 2   Age       168096 non-null  float64\n",
            "dtypes: float64(1), int64(1), object(1)\n",
            "memory usage: 6.4+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "users_df = users_df.rename(columns={'User-ID':'user_id','Location':'location','Age':'age'})"
      ],
      "metadata": {
        "id": "e0VJvYqTmDSm"
      },
      "execution_count": 42,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "ratings_df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "COGTr4-fmPAg",
        "outputId": "905683f0-055f-4239-ff1b-bea006bc5192"
      },
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 1149780 entries, 0 to 1149779\n",
            "Data columns (total 3 columns):\n",
            " #   Column       Non-Null Count    Dtype \n",
            "---  ------       --------------    ----- \n",
            " 0   User-ID      1149780 non-null  int64 \n",
            " 1   ISBN         1149780 non-null  object\n",
            " 2   Book-Rating  1149780 non-null  int64 \n",
            "dtypes: int64(2), object(1)\n",
            "memory usage: 26.3+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ratings_df = ratings_df.rename(columns={'User-ID':'user_id','ISBN':'isbn','Book-Rating':'book_rating'})"
      ],
      "metadata": {
        "id": "STmugzlhmSbg"
      },
      "execution_count": 44,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sns.histplot(users_df,x='age',binrange=(0,100))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 466
        },
        "id": "XQE6-LRXme52",
        "outputId": "329c5547-0c96-444c-b32a-4ee6f4b09978"
      },
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='age', ylabel='Count'>"
            ]
          },
          "metadata": {},
          "execution_count": 45
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "users_df.loc[(users_df.age>100) | (users_df.age<5),'age'] = np.NaN\n",
        "users_df.age.fillna(round(users_df.age.mean())).astype(int)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YRKJEIaHmszO",
        "outputId": "7cd0a808-09ee-4825-aaf5-63aa01a9e0ee"
      },
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0         35\n",
              "1         18\n",
              "2         35\n",
              "3         17\n",
              "4         35\n",
              "          ..\n",
              "278853    35\n",
              "278854    50\n",
              "278855    35\n",
              "278856    35\n",
              "278857    35\n",
              "Name: age, Length: 278858, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.histplot(users_df,x='age',binrange=(0,100))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 466
        },
        "id": "Uc4p8Zbnm5V5",
        "outputId": "092c0fd1-34c0-46ad-bd4c-ef0765436843"
      },
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='age', ylabel='Count'>"
            ]
          },
          "metadata": {},
          "execution_count": 47
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(sorted(ratings_df.book_rating.unique()))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8NwCmHHBm7cR",
        "outputId": "86e0b6c5-9e5c-4237-ebb1-cf95e1c26f69"
      },
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# ratings_df should have ratings only for the books in the books_df\n",
        "\n",
        "ratings_df_new = ratings_df[ratings_df.isbn.isin(books_df.isbn)]"
      ],
      "metadata": {
        "id": "QoPxBzpGns5m"
      },
      "execution_count": 49,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "ratings_df_new.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qEhFPhXkn8sA",
        "outputId": "59c73dcd-2303-402e-9779-668ec5ba7a29"
      },
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(1031136, 3)"
            ]
          },
          "metadata": {},
          "execution_count": 50
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "users_df.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OS8I3smloGnY",
        "outputId": "655b19a5-cafc-4c6b-de63-a204894311d8"
      },
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(278858, 3)"
            ]
          },
          "metadata": {},
          "execution_count": 51
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# similarly, ratings_df should have only the users that are in our users_df dataset\n",
        "\n",
        "ratings_df = ratings_df[ratings_df.user_id.isin(users_df.user_id)]"
      ],
      "metadata": {
        "id": "o9-fcoDcoKtB"
      },
      "execution_count": 52,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(ratings_df.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9xWlqkMHouS2",
        "outputId": "ae551eee-5621-4926-a573-4598df84bb0d"
      },
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(1149780, 3)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# lets go with ratings_df_new because there aren't any new books and we filtered based on the ratings for the existing books above"
      ],
      "metadata": {
        "id": "zwltDANko3H0"
      },
      "execution_count": 54,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "ratings_df_explicit = ratings_df[ratings_df['book_rating'] != 0]\n",
        "ratings_df_implicit = ratings_df[ratings_df['book_rating'] == 0]"
      ],
      "metadata": {
        "id": "239eeaAGpXkF"
      },
      "execution_count": 55,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "ratings_df_explicit.head()\n",
        "print(ratings_df_explicit.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YfvaknReqCxy",
        "outputId": "d2db5426-fb37-47e0-85ca-e58956d89847"
      },
      "execution_count": 56,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(433671, 3)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ratings_df_implicit.head()\n",
        "print(ratings_df_implicit.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BVAFwUeQqFao",
        "outputId": "c4dc4ca5-fc87-4c10-f899-317e1bf35527"
      },
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(716109, 3)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df = books_df"
      ],
      "metadata": {
        "id": "9YvaxGxJqenX"
      },
      "execution_count": 58,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')\n",
        "\n",
        "books_df.to_csv('/content/drive/My Drive/Recommender System End-to-End/books_dataset.csv', index=False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ibYd_nzKqxSu",
        "outputId": "cd06ba72-e45d-40df-9357-07986758e370"
      },
      "execution_count": 59,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ratings_df_new.to_csv('/content/drive/My Drive/Recommender System End-to-End/ratings_dataset.csv', index=False)"
      ],
      "metadata": {
        "id": "U6JZ_ptrq42f"
      },
      "execution_count": 60,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "users_df.to_csv('/content/drive/My Drive/Recommender System End-to-End/users_dataset.csv', index=False)"
      ],
      "metadata": {
        "id": "TaDzgKeBrYKR"
      },
      "execution_count": 61,
      "outputs": []
    }
  ]
}