RecSys.ipynb

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      "provenance": []
    }
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  "cells": [
    {
      "cell_type": "code",
      "source": [
        "!pip install scikit-surprise"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "5FhdaaaK3Adu",
        "outputId": "b99c90b2-89e8-43dc-bb37-9ee7213fa8a0"
      },
      "execution_count": 80,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting scikit-surprise\n",
            "  Downloading scikit-surprise-1.1.3.tar.gz (771 kB)\n",
            "\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/772.0 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K     \u001b[91m━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m194.6/772.0 kB\u001b[0m \u001b[31m5.7 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m772.0/772.0 kB\u001b[0m \u001b[31m11.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: joblib>=1.0.0 in /usr/local/lib/python3.10/dist-packages (from scikit-surprise) (1.3.2)\n",
            "Requirement already satisfied: numpy>=1.17.3 in /usr/local/lib/python3.10/dist-packages (from scikit-surprise) (1.25.2)\n",
            "Requirement already satisfied: scipy>=1.3.2 in /usr/local/lib/python3.10/dist-packages (from scikit-surprise) (1.11.4)\n",
            "Building wheels for collected packages: scikit-surprise\n",
            "  Building wheel for scikit-surprise (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for scikit-surprise: filename=scikit_surprise-1.1.3-cp310-cp310-linux_x86_64.whl size=3162740 sha256=978ab7b6aadde0740f8174ac8c41c73ccc66756dfce9aec1795ab57ceb8619c8\n",
            "  Stored in directory: /root/.cache/pip/wheels/a5/ca/a8/4e28def53797fdc4363ca4af740db15a9c2f1595ebc51fb445\n",
            "Successfully built scikit-surprise\n",
            "Installing collected packages: scikit-surprise\n",
            "Successfully installed scikit-surprise-1.1.3\n"
          ]
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    },
    {
      "cell_type": "code",
      "source": [
        "# This Python 3 environment comes with many helpful analytics libraries installed\n",
        "# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n",
        "# For example, here's several helpful packages to load\n",
        "\n",
        "import numpy as np # linear algebra\n",
        "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
        "from surprise import Reader, SVD, Dataset, accuracy\n",
        "from surprise.model_selection import GridSearchCV, train_test_split, cross_validate\n",
        "# Input data files are available in the read-only \"../input/\" directory\n",
        "# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n",
        "\n",
        "import os\n",
        "for dirname, _, filenames in os.walk('/kaggle/input'):\n",
        "    for filename in filenames:\n",
        "        print(os.path.join(dirname, filename))\n",
        "\n",
        "# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\"\n",
        "# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session"
      ],
      "metadata": {
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        "execution": {
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          "shell.execute_reply": "2021-06-21T12:32:55.414664Z"
        },
        "trusted": true,
        "id": "3wottWRaWaGH"
      },
      "execution_count": 82,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "movies = pd.read_csv('/content/drive/MyDrive/Colab Notebooks/Datasets/tmdb_5000_movies.csv')\n",
        "credits = pd.read_csv('/content/drive/MyDrive/Colab Notebooks/Datasets/tmdb_5000_credits.csv')"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:36:31.347717Z",
          "iopub.execute_input": "2021-06-21T12:36:31.348105Z",
          "iopub.status.idle": "2021-06-21T12:36:32.003856Z",
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          "shell.execute_reply": "2021-06-21T12:36:32.002744Z"
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        "id": "CdxQ0chiWaGJ"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "EGkqfS_2WyMQ",
        "outputId": "2debd1be-9afc-4a5b-88e6-cf6bcd0ff6f5"
      },
      "execution_count": 6,
      "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": [
        "movies.head(2)"
      ],
      "metadata": {
        "execution": {
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      },
      "execution_count": 7,
      "outputs": [
        {
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              "      budget                                             genres  \\\n",
              "0  237000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
              "1  300000000  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...   \n",
              "\n",
              "                                       homepage     id  \\\n",
              "0                   http://www.avatarmovie.com/  19995   \n",
              "1  http://disney.go.com/disneypictures/pirates/    285   \n",
              "\n",
              "                                            keywords original_language  \\\n",
              "0  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...                en   \n",
              "1  [{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...                en   \n",
              "\n",
              "                             original_title  \\\n",
              "0                                    Avatar   \n",
              "1  Pirates of the Caribbean: At World's End   \n",
              "\n",
              "                                            overview  popularity  \\\n",
              "0  In the 22nd century, a paraplegic Marine is di...  150.437577   \n",
              "1  Captain Barbossa, long believed to be dead, ha...  139.082615   \n",
              "\n",
              "                                production_companies  \\\n",
              "0  [{\"name\": \"Ingenious Film Partners\", \"id\": 289...   \n",
              "1  [{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...   \n",
              "\n",
              "                                production_countries release_date     revenue  \\\n",
              "0  [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2009-12-10  2787965087   \n",
              "1  [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2007-05-19   961000000   \n",
              "\n",
              "   runtime                                   spoken_languages    status  \\\n",
              "0    162.0  [{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...  Released   \n",
              "1    169.0           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
              "\n",
              "                                          tagline  \\\n",
              "0                     Enter the World of Pandora.   \n",
              "1  At the end of the world, the adventure begins.   \n",
              "\n",
              "                                      title  vote_average  vote_count  \n",
              "0                                    Avatar           7.2       11800  \n",
              "1  Pirates of the Caribbean: At World's End           6.9        4500  "
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              "    }\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-2257a0c2-3c4d-4166-bc73-56bdb9209f88 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "movies",
              "summary": "{\n  \"name\": \"movies\",\n  \"rows\": 4803,\n  \"fields\": [\n    {\n      \"column\": \"budget\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 40722391,\n        \"min\": 0,\n        \"max\": 380000000,\n        \"num_unique_values\": 436,\n        \"samples\": [\n          439000,\n          68000000,\n          700000\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"genres\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1175,\n        \"samples\": [\n          \"[{\\\"id\\\": 14, \\\"name\\\": \\\"Fantasy\\\"}, {\\\"id\\\": 12, \\\"name\\\": \\\"Adventure\\\"}, {\\\"id\\\": 16, \\\"name\\\": \\\"Animation\\\"}]\",\n          \"[{\\\"id\\\": 28, \\\"name\\\": \\\"Action\\\"}, {\\\"id\\\": 35, \\\"name\\\": \\\"Comedy\\\"}, {\\\"id\\\": 80, \\\"name\\\": \\\"Crime\\\"}, {\\\"id\\\": 18, \\\"name\\\": \\\"Drama\\\"}]\",\n          \"[{\\\"id\\\": 12, \\\"name\\\": \\\"Adventure\\\"}, {\\\"id\\\": 16, \\\"name\\\": \\\"Animation\\\"}, {\\\"id\\\": 10751, \\\"name\\\": \\\"Family\\\"}, {\\\"id\\\": 14, \\\"name\\\": \\\"Fantasy\\\"}, {\\\"id\\\": 878, \\\"name\\\": \\\"Science Fiction\\\"}]\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"homepage\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1691,\n        \"samples\": [\n          \"https://www.warnerbros.com/running-scared\",\n          \"http://www.51birchstreet.com/index.php\",\n          \"http://movies2.foxjapan.com/glee/\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 88694,\n        \"min\": 5,\n        \"max\": 459488,\n        \"num_unique_values\": 4803,\n        \"samples\": [\n          8427,\n          13006,\n          18041\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"keywords\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4222,\n        \"samples\": [\n          \"[{\\\"id\\\": 782, \\\"name\\\": \\\"assassin\\\"}, {\\\"id\\\": 1872, \\\"name\\\": \\\"loss of father\\\"}, {\\\"id\\\": 2908, \\\"name\\\": \\\"secret society\\\"}, {\\\"id\\\": 3045, \\\"name\\\": \\\"mission of murder\\\"}, {\\\"id\\\": 9748, \\\"name\\\": \\\"revenge\\\"}]\",\n          \"[{\\\"id\\\": 2987, \\\"name\\\": \\\"gang war\\\"}, {\\\"id\\\": 4942, \\\"name\\\": \\\"victim of murder\\\"}, {\\\"id\\\": 5332, \\\"name\\\": \\\"greed\\\"}, {\\\"id\\\": 6062, \\\"name\\\": \\\"hostility\\\"}, {\\\"id\\\": 156212, \\\"name\\\": \\\"spaghetti western\\\"}]\",\n          \"[{\\\"id\\\": 703, \\\"name\\\": \\\"detective\\\"}, {\\\"id\\\": 1299, \\\"name\\\": \\\"monster\\\"}, {\\\"id\\\": 6101, \\\"name\\\": \\\"engine\\\"}, {\\\"id\\\": 10988, \\\"name\\\": \\\"based on tv series\\\"}, {\\\"id\\\": 15162, \\\"name\\\": \\\"dog\\\"}]\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"original_language\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 37,\n        \"samples\": [\n          \"xx\",\n          \"ta\",\n          \"es\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"original_title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4801,\n        \"samples\": [\n          \"I Spy\",\n          \"Love Letters\",\n          \"Sleepover\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"overview\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4800,\n        \"samples\": [\n          \"When the Switchblade, the most sophisticated prototype stealth fighter created yet, is stolen from the U.S. government, one of the United States' top spies, Alex Scott, is called to action. What he doesn't expect is to get teamed up with a cocky civilian, World Class Boxing Champion Kelly Robinson, on a dangerous top secret espionage mission. Their assignment: using equal parts skill and humor, catch Arnold Gundars, one of the world's most successful arms dealers.\",\n          \"When \\\"street smart\\\" rapper Christopher \\\"C-Note\\\" Hawkins (Big Boi) applies for a membership to all-white Carolina Pines Country Club, the establishment's proprietors are hardly ready to oblige him.\",\n          \"As their first year of high school looms ahead, best friends Julie, Hannah, Yancy and Farrah have one last summer sleepover. Little do they know they're about to embark on the adventure of a lifetime. Desperate to shed their nerdy status, they take part in a night-long scavenger hunt that pits them against their popular archrivals. Everything under the sun goes on -- from taking Yancy's father's car to sneaking into nightclubs!\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"popularity\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 31.816649749537774,\n        \"min\": 0.0,\n        \"max\": 875.581305,\n        \"num_unique_values\": 4802,\n        \"samples\": [\n          13.267631,\n          0.010909,\n          5.842299\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"production_companies\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3697,\n        \"samples\": [\n          \"[{\\\"name\\\": \\\"Paramount Pictures\\\", \\\"id\\\": 4}, {\\\"name\\\": \\\"Cherry Alley Productions\\\", \\\"id\\\": 2232}]\",\n          \"[{\\\"name\\\": \\\"Twentieth Century Fox Film Corporation\\\", \\\"id\\\": 306}, {\\\"name\\\": \\\"Dune Entertainment\\\", \\\"id\\\": 444}, {\\\"name\\\": \\\"Regency Enterprises\\\", \\\"id\\\": 508}, {\\\"name\\\": \\\"Guy Walks into a Bar Productions\\\", \\\"id\\\": 2645}, {\\\"name\\\": \\\"Deep River Productions\\\", \\\"id\\\": 2646}, {\\\"name\\\": \\\"Friendly Films (II)\\\", \\\"id\\\": 81136}]\",\n          \"[{\\\"name\\\": \\\"Twentieth Century Fox Film Corporation\\\", \\\"id\\\": 306}]\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"production_countries\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 469,\n        \"samples\": [\n          \"[{\\\"iso_3166_1\\\": \\\"ES\\\", \\\"name\\\": \\\"Spain\\\"}, {\\\"iso_3166_1\\\": \\\"GB\\\", \\\"name\\\": \\\"United Kingdom\\\"}, {\\\"iso_3166_1\\\": \\\"US\\\", \\\"name\\\": \\\"United States of America\\\"}, {\\\"iso_3166_1\\\": \\\"FR\\\", \\\"name\\\": \\\"France\\\"}]\",\n          \"[{\\\"iso_3166_1\\\": \\\"US\\\", \\\"name\\\": \\\"United States of America\\\"}, {\\\"iso_3166_1\\\": \\\"CA\\\", \\\"name\\\": \\\"Canada\\\"}, {\\\"iso_3166_1\\\": \\\"DE\\\", \\\"name\\\": \\\"Germany\\\"}]\",\n          \"[{\\\"iso_3166_1\\\": \\\"DE\\\", \\\"name\\\": \\\"Germany\\\"}, {\\\"iso_3166_1\\\": \\\"ES\\\", \\\"name\\\": \\\"Spain\\\"}, {\\\"iso_3166_1\\\": \\\"GB\\\", \\\"name\\\": \\\"United Kingdom\\\"}, {\\\"iso_3166_1\\\": \\\"US\\\", \\\"name\\\": \\\"United States of America\\\"}]\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"release_date\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 3280,\n        \"samples\": [\n          \"1966-10-16\",\n          \"1987-07-31\",\n          \"1993-09-23\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"revenue\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 162857100,\n        \"min\": 0,\n        \"max\": 2787965087,\n        \"num_unique_values\": 3297,\n        \"samples\": [\n          11833696,\n          10462500,\n          17807569\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"runtime\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 22.611934588844232,\n        \"min\": 0.0,\n        \"max\": 338.0,\n        \"num_unique_values\": 156,\n        \"samples\": [\n          74.0,\n          85.0,\n          170.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"spoken_languages\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 544,\n        \"samples\": [\n          \"[{\\\"iso_639_1\\\": \\\"es\\\", \\\"name\\\": \\\"Espa\\\\u00f1ol\\\"}, {\\\"iso_639_1\\\": \\\"en\\\", \\\"name\\\": \\\"English\\\"}, {\\\"iso_639_1\\\": \\\"fr\\\", \\\"name\\\": \\\"Fran\\\\u00e7ais\\\"}, {\\\"iso_639_1\\\": \\\"hu\\\", \\\"name\\\": \\\"Magyar\\\"}]\",\n          \"[{\\\"iso_639_1\\\": \\\"en\\\", \\\"name\\\": \\\"English\\\"}, {\\\"iso_639_1\\\": \\\"it\\\", \\\"name\\\": \\\"Italiano\\\"}, {\\\"iso_639_1\\\": \\\"pt\\\", \\\"name\\\": \\\"Portugu\\\\u00eas\\\"}]\",\n          \"[{\\\"iso_639_1\\\": \\\"de\\\", \\\"name\\\": \\\"Deutsch\\\"}, {\\\"iso_639_1\\\": \\\"it\\\", \\\"name\\\": \\\"Italiano\\\"}, {\\\"iso_639_1\\\": \\\"la\\\", \\\"name\\\": \\\"Latin\\\"}, {\\\"iso_639_1\\\": \\\"pl\\\", \\\"name\\\": \\\"Polski\\\"}]\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"status\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Released\",\n          \"Post Production\",\n          \"Rumored\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"tagline\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3944,\n        \"samples\": [\n          \"When you're 17, every day is war.\",\n          \"An Unspeakable Horror. A Creative Genius. Captured For Eternity.\",\n          \"May the schwartz be with you\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4800,\n        \"samples\": [\n          \"I Spy\",\n          \"Who's Your Caddy?\",\n          \"Sleepover\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"vote_average\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.1946121628478923,\n        \"min\": 0.0,\n        \"max\": 10.0,\n        \"num_unique_values\": 71,\n        \"samples\": [\n          5.1,\n          7.2,\n          4.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"vote_count\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1234,\n        \"min\": 0,\n        \"max\": 13752,\n        \"num_unique_values\": 1609,\n        \"samples\": [\n          7604,\n          3428,\n          225\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "movies.shape"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:33:06.307921Z",
          "iopub.execute_input": "2021-06-21T12:33:06.308311Z",
          "iopub.status.idle": "2021-06-21T12:33:06.316052Z",
          "shell.execute_reply.started": "2021-06-21T12:33:06.308279Z",
          "shell.execute_reply": "2021-06-21T12:33:06.314903Z"
        },
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "lXYkB8_pWaGK",
        "outputId": "4ac8b89e-93e2-4322-bd3d-755224630309"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(4803, 20)"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "credits.head()"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:33:08.787389Z",
          "iopub.execute_input": "2021-06-21T12:33:08.787791Z",
          "iopub.status.idle": "2021-06-21T12:33:08.800864Z",
          "shell.execute_reply.started": "2021-06-21T12:33:08.787758Z",
          "shell.execute_reply": "2021-06-21T12:33:08.799834Z"
        },
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "ReVuWcDpWaGK",
        "outputId": "efd17ef5-f492-4e44-e79e-bde9b7cf13c4"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   movie_id                                     title  \\\n",
              "0     19995                                    Avatar   \n",
              "1       285  Pirates of the Caribbean: At World's End   \n",
              "2    206647                                   Spectre   \n",
              "3     49026                     The Dark Knight Rises   \n",
              "4     49529                               John Carter   \n",
              "\n",
              "                                                cast  \\\n",
              "0  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
              "1  [{\"cast_id\": 4, \"character\": \"Captain Jack Spa...   \n",
              "2  [{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...   \n",
              "3  [{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...   \n",
              "4  [{\"cast_id\": 5, \"character\": \"John Carter\", \"c...   \n",
              "\n",
              "                                                crew  \n",
              "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  \n",
              "1  [{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...  \n",
              "2  [{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...  \n",
              "3  [{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...  \n",
              "4  [{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-2eabc0fa-9c52-4b1f-9779-d463db23f406\" 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>movie_id</th>\n",
              "      <th>title</th>\n",
              "      <th>cast</th>\n",
              "      <th>crew</th>\n",
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              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>19995</td>\n",
              "      <td>Avatar</td>\n",
              "      <td>[{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...</td>\n",
              "      <td>[{\"credit_id\": \"52fe48009251416c750aca23\", \"de...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>285</td>\n",
              "      <td>Pirates of the Caribbean: At World's End</td>\n",
              "      <td>[{\"cast_id\": 4, \"character\": \"Captain Jack Spa...</td>\n",
              "      <td>[{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>206647</td>\n",
              "      <td>Spectre</td>\n",
              "      <td>[{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...</td>\n",
              "      <td>[{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>49026</td>\n",
              "      <td>The Dark Knight Rises</td>\n",
              "      <td>[{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...</td>\n",
              "      <td>[{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>49529</td>\n",
              "      <td>John Carter</td>\n",
              "      <td>[{\"cast_id\": 5, \"character\": \"John Carter\", \"c...</td>\n",
              "      <td>[{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...</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-2eabc0fa-9c52-4b1f-9779-d463db23f406')\"\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",
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              "  </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-2eabc0fa-9c52-4b1f-9779-d463db23f406 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-2eabc0fa-9c52-4b1f-9779-d463db23f406');\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",
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              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-1da873c7-5691-4d9f-9870-50fe57edc7d6')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
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              "  </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",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
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              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
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              "    60% {\n",
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              "      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",
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              "    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-1da873c7-5691-4d9f-9870-50fe57edc7d6 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "    </div>\n",
              "  </div>\n"
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\\\"52fe44b0c3a36847f80a480d\\\", \\\"gender\\\": 1, \\\"id\\\": 7523, \\\"name\\\": \\\"Jessalyn Gilsig\\\", \\\"order\\\": 9}, {\\\"cast_id\\\": 30, \\\"character\\\": \\\"Rick Leland\\\", \\\"credit_id\\\": \\\"53e94dbc0e0a2654fd000009\\\", \\\"gender\\\": 2, \\\"id\\\": 34502, \\\"name\\\": \\\"Kellan Lutz\\\", \\\"order\\\": 10}, {\\\"cast_id\\\": 31, \\\"character\\\": \\\"Detective Nash\\\", \\\"credit_id\\\": \\\"53e94e36c3a3687ffa00000e\\\", \\\"gender\\\": 2, \\\"id\\\": 5296, \\\"name\\\": \\\"James Ransone\\\", \\\"order\\\": 11}, {\\\"cast_id\\\": 32, \\\"character\\\": \\\"Ms. Waters\\\", \\\"credit_id\\\": \\\"53e94e940e0a2654fd00001e\\\", \\\"gender\\\": 1, \\\"id\\\": 96554, \\\"name\\\": \\\"Mary Mara\\\", \\\"order\\\": 12}, {\\\"cast_id\\\": 33, \\\"character\\\": \\\"Dancer\\\", \\\"credit_id\\\": \\\"56d207d7c3a3681e4400b3de\\\", \\\"gender\\\": 1, \\\"id\\\": 159913, \\\"name\\\": \\\"Allison Kyler\\\", \\\"order\\\": 13}, {\\\"cast_id\\\": 34, \\\"character\\\": \\\"Officer Hicks\\\", \\\"credit_id\\\": \\\"57dd7339925141784a00050e\\\", \\\"gender\\\": 2, \\\"id\\\": 66560, \\\"name\\\": \\\"Craig Susser\\\", \\\"order\\\": 14}, {\\\"cast_id\\\": 43, \\\"character\\\": \\\"Mrs. Hines\\\", \\\"credit_id\\\": \\\"58c7285fc3a3683dd7001c0d\\\", \\\"gender\\\": 0, \\\"id\\\": 155435, \\\"name\\\": \\\"Valeri Ross\\\", \\\"order\\\": 15}, {\\\"cast_id\\\": 44, \\\"character\\\": \\\"Crissy Lynn\\\", \\\"credit_id\\\": \\\"590c3264c3a36801c60092ea\\\", \\\"gender\\\": 1, \\\"id\\\": 115126, \\\"name\\\": \\\"Brianne Davis\\\", \\\"order\\\": 16}, {\\\"cast_id\\\": 45, \\\"character\\\": \\\"Uncle Jack Turner\\\", \\\"credit_id\\\": \\\"590c32f1c3a36801c60093a5\\\", \\\"gender\\\": 2, \\\"id\\\": 57251, \\\"name\\\": \\\"Linden Ashby\\\", \\\"order\\\": 17}, {\\\"cast_id\\\": 46, \\\"character\\\": \\\"April\\\", \\\"credit_id\\\": \\\"590c336c9251415a8b009abc\\\", \\\"gender\\\": 1, \\\"id\\\": 92856, \\\"name\\\": \\\"Jana Kramer\\\", \\\"order\\\": 18}, {\\\"cast_id\\\": 47, \\\"character\\\": \\\"Taylor\\\", \\\"credit_id\\\": \\\"590c33b49251415a67009232\\\", \\\"gender\\\": 1, \\\"id\\\": 88038, \\\"name\\\": \\\"Rachel Specter\\\", \\\"order\\\": 19}, {\\\"cast_id\\\": 48, \\\"character\\\": \\\"Mrs. Keppel\\\", \\\"credit_id\\\": \\\"590c340a9251415a5e0090fa\\\", \\\"gender\\\": 1, \\\"id\\\": 15010, \\\"name\\\": \\\"Lori Heuring\\\", \\\"order\\\": 20}, {\\\"cast_id\\\": 49, \\\"character\\\": \\\"DJ Tyler\\\", \\\"credit_id\\\": \\\"590c3499c3a3680148009300\\\", \\\"gender\\\": 0, \\\"id\\\": 1627987, \\\"name\\\": \\\"Jay Phillips\\\", \\\"order\\\": 21}, {\\\"cast_id\\\": 61, \\\"character\\\": \\\"Bellhop\\\", \\\"credit_id\\\": \\\"590c397a9251415a8b009fca\\\", \\\"gender\\\": 2, \\\"id\\\": 26852, \\\"name\\\": \\\"Joshua Leonard\\\", \\\"order\\\": 22}]\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"crew\",\n      \"properties\": {\n        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Hawthorne\\\"}, {\\\"credit_id\\\": \\\"5990448e925141675f02afa7\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 0, \\\"id\\\": 1868865, \\\"job\\\": \\\"Propmaker\\\", \\\"name\\\": \\\"Robert McDonald\\\"}, {\\\"credit_id\\\": \\\"59904571925141670b02c572\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 0, \\\"id\\\": 1868867, \\\"job\\\": \\\"Propmaker\\\", \\\"name\\\": \\\"Robert Prchal\\\"}, {\\\"credit_id\\\": \\\"599045da925141673902a9d7\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 0, \\\"id\\\": 1868868, \\\"job\\\": \\\"Propmaker\\\", \\\"name\\\": \\\"Hal Schlax\\\"}, {\\\"credit_id\\\": \\\"59904c34925141675f02b8bc\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 2, \\\"id\\\": 1868877, \\\"job\\\": \\\"Stunt Coordinator\\\", \\\"name\\\": \\\"John Molo\\\"}, {\\\"credit_id\\\": \\\"59904cac925141673e02d7a8\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868878, \\\"job\\\": \\\"Camera Operator\\\", \\\"name\\\": \\\"Todd Dos Reis\\\"}, {\\\"credit_id\\\": \\\"59904d04925141676602ba9a\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868879, \\\"job\\\": \\\"Dolly Grip\\\", \\\"name\\\": \\\"Jason D. Hodges\\\"}, {\\\"credit_id\\\": \\\"59904d3bc3a36874b402a4b0\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868880, \\\"job\\\": \\\"Key Grip\\\", \\\"name\\\": \\\"Mike Hodges\\\"}, {\\\"credit_id\\\": \\\"59904df0925141672302c7da\\\", \\\"department\\\": \\\"Lighting\\\", \\\"gender\\\": 0, \\\"id\\\": 1868881, \\\"job\\\": \\\"Gaffer\\\", \\\"name\\\": \\\"Kal Manning\\\"}, {\\\"credit_id\\\": \\\"59904ede925141675f02bbe6\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868889, \\\"job\\\": \\\"Dolly Grip\\\", \\\"name\\\": \\\"Larry McCarron\\\"}, {\\\"credit_id\\\": \\\"59905109925141673e02dcde\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 0, \\\"id\\\": 1868892, \\\"job\\\": \\\"Music Editor\\\", \\\"name\\\": \\\"Kim Strand\\\"}]\",\n          \"[{\\\"credit_id\\\": \\\"52fe44479251416c7502f0c3\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 2, \\\"id\\\": 20953, \\\"job\\\": \\\"Original Music Composer\\\", \\\"name\\\": \\\"Harry Manfredini\\\"}, {\\\"credit_id\\\": \\\"534a8875c3a3682df60016a4\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 0, \\\"id\\\": 23545, \\\"job\\\": \\\"Casting\\\", \\\"name\\\": \\\"Robin D. Cook\\\"}, {\\\"credit_id\\\": \\\"52fe44479251416c7502f0ed\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 2, \\\"id\\\": 35475, \\\"job\\\": \\\"Executive Producer\\\", \\\"name\\\": \\\"Sean S. Cunningham\\\"}, {\\\"credit_id\\\": \\\"52fe44479251416c7502f0cf\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 2, \\\"id\\\": 55642, \\\"job\\\": \\\"Director of Photography\\\", \\\"name\\\": \\\"Derick V. Underschultz\\\"}, {\\\"credit_id\\\": \\\"52fe44479251416c7502f0b7\\\", \\\"department\\\": \\\"Writing\\\", \\\"gender\\\": 2, \\\"id\\\": 61117, \\\"job\\\": \\\"Screenplay\\\", \\\"name\\\": \\\"Todd Farmer\\\"}, {\\\"credit_id\\\": \\\"52fe44479251416c7502f0c9\\\", \\\"department\\\": \\\"Editing\\\", \\\"gender\\\": 2, \\\"id\\\": 64748, \\\"job\\\": \\\"Editor\\\", \\\"name\\\": \\\"David Handman\\\"}, {\\\"credit_id\\\": \\\"52fe44479251416c7502f0b1\\\", \\\"department\\\": \\\"Directing\\\", \\\"gender\\\": 2, \\\"id\\\": 69579, \\\"job\\\": \\\"Director\\\", \\\"name\\\": \\\"James Isaac\\\"}, {\\\"credit_id\\\": \\\"52fe44479251416c7502f0bd\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 2, \\\"id\\\": 69585, \\\"job\\\": \\\"Producer\\\", \\\"name\\\": \\\"Noel Cunningham\\\"}, {\\\"credit_id\\\": \\\"534a888cc3a3682df60016a8\\\", \\\"department\\\": \\\"Costume & Make-Up\\\", \\\"gender\\\": 0, \\\"id\\\": 958703, \\\"job\\\": \\\"Costume Design\\\", \\\"name\\\": \\\"Maxyne Baker\\\"}]\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "movies = movies.merge(credits,on='title')"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:36:38.686521Z",
          "iopub.execute_input": "2021-06-21T12:36:38.687005Z",
          "iopub.status.idle": "2021-06-21T12:36:38.713343Z",
          "shell.execute_reply.started": "2021-06-21T12:36:38.686963Z",
          "shell.execute_reply": "2021-06-21T12:36:38.711939Z"
        },
        "trusted": true,
        "id": "LHbRqJ4qWaGK"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "movies.head()\n",
        "# budget\n",
        "# homepage\n",
        "# id\n",
        "# original_language\n",
        "# original_title\n",
        "# popularity\n",
        "# production_comapny\n",
        "# production_countries\n",
        "# release-date(not sure)"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-19T12:48:23.470187Z",
          "iopub.execute_input": "2021-06-19T12:48:23.470754Z",
          "iopub.status.idle": "2021-06-19T12:48:23.5041Z",
          "shell.execute_reply.started": "2021-06-19T12:48:23.470724Z",
          "shell.execute_reply": "2021-06-19T12:48:23.503327Z"
        },
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 706
        },
        "id": "wqpUTaTZWaGK",
        "outputId": "4b386a6d-b58c-41e6-b59d-8dcd65b7e0fe"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      budget                                             genres  \\\n",
              "0  237000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
              "1  300000000  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...   \n",
              "2  245000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
              "3  250000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...   \n",
              "4  260000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
              "\n",
              "                                       homepage      id  \\\n",
              "0                   http://www.avatarmovie.com/   19995   \n",
              "1  http://disney.go.com/disneypictures/pirates/     285   \n",
              "2   http://www.sonypictures.com/movies/spectre/  206647   \n",
              "3            http://www.thedarkknightrises.com/   49026   \n",
              "4          http://movies.disney.com/john-carter   49529   \n",
              "\n",
              "                                            keywords original_language  \\\n",
              "0  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...                en   \n",
              "1  [{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...                en   \n",
              "2  [{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...                en   \n",
              "3  [{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...                en   \n",
              "4  [{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...                en   \n",
              "\n",
              "                             original_title  \\\n",
              "0                                    Avatar   \n",
              "1  Pirates of the Caribbean: At World's End   \n",
              "2                                   Spectre   \n",
              "3                     The Dark Knight Rises   \n",
              "4                               John Carter   \n",
              "\n",
              "                                            overview  popularity  \\\n",
              "0  In the 22nd century, a paraplegic Marine is di...  150.437577   \n",
              "1  Captain Barbossa, long believed to be dead, ha...  139.082615   \n",
              "2  A cryptic message from Bond’s past sends him o...  107.376788   \n",
              "3  Following the death of District Attorney Harve...  112.312950   \n",
              "4  John Carter is a war-weary, former military ca...   43.926995   \n",
              "\n",
              "                                production_companies  ... runtime  \\\n",
              "0  [{\"name\": \"Ingenious Film Partners\", \"id\": 289...  ...   162.0   \n",
              "1  [{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...  ...   169.0   \n",
              "2  [{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...  ...   148.0   \n",
              "3  [{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...  ...   165.0   \n",
              "4        [{\"name\": \"Walt Disney Pictures\", \"id\": 2}]  ...   132.0   \n",
              "\n",
              "                                    spoken_languages    status  \\\n",
              "0  [{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...  Released   \n",
              "1           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
              "2  [{\"iso_639_1\": \"fr\", \"name\": \"Fran\\u00e7ais\"},...  Released   \n",
              "3           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
              "4           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
              "\n",
              "                                          tagline  \\\n",
              "0                     Enter the World of Pandora.   \n",
              "1  At the end of the world, the adventure begins.   \n",
              "2                           A Plan No One Escapes   \n",
              "3                                 The Legend Ends   \n",
              "4            Lost in our world, found in another.   \n",
              "\n",
              "                                      title vote_average vote_count movie_id  \\\n",
              "0                                    Avatar          7.2      11800    19995   \n",
              "1  Pirates of the Caribbean: At World's End          6.9       4500      285   \n",
              "2                                   Spectre          6.3       4466   206647   \n",
              "3                     The Dark Knight Rises          7.6       9106    49026   \n",
              "4                               John Carter          6.1       2124    49529   \n",
              "\n",
              "                                                cast  \\\n",
              "0  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
              "1  [{\"cast_id\": 4, \"character\": \"Captain Jack Spa...   \n",
              "2  [{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...   \n",
              "3  [{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...   \n",
              "4  [{\"cast_id\": 5, \"character\": \"John Carter\", \"c...   \n",
              "\n",
              "                                                crew  \n",
              "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  \n",
              "1  [{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...  \n",
              "2  [{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...  \n",
              "3  [{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...  \n",
              "4  [{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...  \n",
              "\n",
              "[5 rows x 23 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-c8e73f81-a1de-48cf-8156-15431415a252\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
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              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>budget</th>\n",
              "      <th>genres</th>\n",
              "      <th>homepage</th>\n",
              "      <th>id</th>\n",
              "      <th>keywords</th>\n",
              "      <th>original_language</th>\n",
              "      <th>original_title</th>\n",
              "      <th>overview</th>\n",
              "      <th>popularity</th>\n",
              "      <th>production_companies</th>\n",
              "      <th>...</th>\n",
              "      <th>runtime</th>\n",
              "      <th>spoken_languages</th>\n",
              "      <th>status</th>\n",
              "      <th>tagline</th>\n",
              "      <th>title</th>\n",
              "      <th>vote_average</th>\n",
              "      <th>vote_count</th>\n",
              "      <th>movie_id</th>\n",
              "      <th>cast</th>\n",
              "      <th>crew</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>237000000</td>\n",
              "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
              "      <td>http://www.avatarmovie.com/</td>\n",
              "      <td>19995</td>\n",
              "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
              "      <td>en</td>\n",
              "      <td>Avatar</td>\n",
              "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
              "      <td>150.437577</td>\n",
              "      <td>[{\"name\": \"Ingenious Film Partners\", \"id\": 289...</td>\n",
              "      <td>...</td>\n",
              "      <td>162.0</td>\n",
              "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...</td>\n",
              "      <td>Released</td>\n",
              "      <td>Enter the World of Pandora.</td>\n",
              "      <td>Avatar</td>\n",
              "      <td>7.2</td>\n",
              "      <td>11800</td>\n",
              "      <td>19995</td>\n",
              "      <td>[{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...</td>\n",
              "      <td>[{\"credit_id\": \"52fe48009251416c750aca23\", \"de...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>300000000</td>\n",
              "      <td>[{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...</td>\n",
              "      <td>http://disney.go.com/disneypictures/pirates/</td>\n",
              "      <td>285</td>\n",
              "      <td>[{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...</td>\n",
              "      <td>en</td>\n",
              "      <td>Pirates of the Caribbean: At World's End</td>\n",
              "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
              "      <td>139.082615</td>\n",
              "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...</td>\n",
              "      <td>...</td>\n",
              "      <td>169.0</td>\n",
              "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>At the end of the world, the adventure begins.</td>\n",
              "      <td>Pirates of the Caribbean: At World's End</td>\n",
              "      <td>6.9</td>\n",
              "      <td>4500</td>\n",
              "      <td>285</td>\n",
              "      <td>[{\"cast_id\": 4, \"character\": \"Captain Jack Spa...</td>\n",
              "      <td>[{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>245000000</td>\n",
              "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
              "      <td>http://www.sonypictures.com/movies/spectre/</td>\n",
              "      <td>206647</td>\n",
              "      <td>[{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...</td>\n",
              "      <td>en</td>\n",
              "      <td>Spectre</td>\n",
              "      <td>A cryptic message from Bond’s past sends him o...</td>\n",
              "      <td>107.376788</td>\n",
              "      <td>[{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...</td>\n",
              "      <td>...</td>\n",
              "      <td>148.0</td>\n",
              "      <td>[{\"iso_639_1\": \"fr\", \"name\": \"Fran\\u00e7ais\"},...</td>\n",
              "      <td>Released</td>\n",
              "      <td>A Plan No One Escapes</td>\n",
              "      <td>Spectre</td>\n",
              "      <td>6.3</td>\n",
              "      <td>4466</td>\n",
              "      <td>206647</td>\n",
              "      <td>[{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...</td>\n",
              "      <td>[{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>250000000</td>\n",
              "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...</td>\n",
              "      <td>http://www.thedarkknightrises.com/</td>\n",
              "      <td>49026</td>\n",
              "      <td>[{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...</td>\n",
              "      <td>en</td>\n",
              "      <td>The Dark Knight Rises</td>\n",
              "      <td>Following the death of District Attorney Harve...</td>\n",
              "      <td>112.312950</td>\n",
              "      <td>[{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...</td>\n",
              "      <td>...</td>\n",
              "      <td>165.0</td>\n",
              "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>The Legend Ends</td>\n",
              "      <td>The Dark Knight Rises</td>\n",
              "      <td>7.6</td>\n",
              "      <td>9106</td>\n",
              "      <td>49026</td>\n",
              "      <td>[{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...</td>\n",
              "      <td>[{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>260000000</td>\n",
              "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
              "      <td>http://movies.disney.com/john-carter</td>\n",
              "      <td>49529</td>\n",
              "      <td>[{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...</td>\n",
              "      <td>en</td>\n",
              "      <td>John Carter</td>\n",
              "      <td>John Carter is a war-weary, former military ca...</td>\n",
              "      <td>43.926995</td>\n",
              "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}]</td>\n",
              "      <td>...</td>\n",
              "      <td>132.0</td>\n",
              "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>Lost in our world, found in another.</td>\n",
              "      <td>John Carter</td>\n",
              "      <td>6.1</td>\n",
              "      <td>2124</td>\n",
              "      <td>49529</td>\n",
              "      <td>[{\"cast_id\": 5, \"character\": \"John Carter\", \"c...</td>\n",
              "      <td>[{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...</td>\n",
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              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "        document.querySelector('#df-c8e73f81-a1de-48cf-8156-15431415a252 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-c8e73f81-a1de-48cf-8156-15431415a252');\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",
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              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-d9f85a1e-d94b-405b-8ebd-414fcf1d4df2')\"\n",
              "            title=\"Suggest charts\"\n",
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              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "    </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",
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              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
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              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
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              "    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",
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              "\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",
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              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
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              "      border-bottom-color: var(--fill-color);\n",
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              "\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-d9f85a1e-d94b-405b-8ebd-414fcf1d4df2 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe"
            }
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "movies = movies[['movie_id','title','overview','genres','keywords','cast','crew']]"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:36:41.393326Z",
          "iopub.execute_input": "2021-06-21T12:36:41.393733Z",
          "iopub.status.idle": "2021-06-21T12:36:41.406883Z",
          "shell.execute_reply.started": "2021-06-21T12:36:41.393699Z",
          "shell.execute_reply": "2021-06-21T12:36:41.405822Z"
        },
        "trusted": true,
        "id": "041lGUnnWaGK"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "movies.head()"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:33:39.516481Z",
          "iopub.execute_input": "2021-06-21T12:33:39.517061Z",
          "iopub.status.idle": "2021-06-21T12:33:39.532499Z",
          "shell.execute_reply.started": "2021-06-21T12:33:39.517012Z",
          "shell.execute_reply": "2021-06-21T12:33:39.531584Z"
        },
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 293
        },
        "id": "j1OywGSyWaGK",
        "outputId": "eef737d6-adcc-41f9-f31c-2bfa2792d404"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   movie_id                                     title  \\\n",
              "0     19995                                    Avatar   \n",
              "1       285  Pirates of the Caribbean: At World's End   \n",
              "2    206647                                   Spectre   \n",
              "3     49026                     The Dark Knight Rises   \n",
              "4     49529                               John Carter   \n",
              "\n",
              "                                            overview  \\\n",
              "0  In the 22nd century, a paraplegic Marine is di...   \n",
              "1  Captain Barbossa, long believed to be dead, ha...   \n",
              "2  A cryptic message from Bond’s past sends him o...   \n",
              "3  Following the death of District Attorney Harve...   \n",
              "4  John Carter is a war-weary, former military ca...   \n",
              "\n",
              "                                              genres  \\\n",
              "0  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
              "1  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...   \n",
              "2  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
              "3  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...   \n",
              "4  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
              "\n",
              "                                            keywords  \\\n",
              "0  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...   \n",
              "1  [{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...   \n",
              "2  [{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...   \n",
              "3  [{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...   \n",
              "4  [{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...   \n",
              "\n",
              "                                                cast  \\\n",
              "0  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
              "1  [{\"cast_id\": 4, \"character\": \"Captain Jack Spa...   \n",
              "2  [{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...   \n",
              "3  [{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...   \n",
              "4  [{\"cast_id\": 5, \"character\": \"John Carter\", \"c...   \n",
              "\n",
              "                                                crew  \n",
              "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  \n",
              "1  [{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...  \n",
              "2  [{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...  \n",
              "3  [{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...  \n",
              "4  [{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...  "
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              "      <td>49529</td>\n",
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              "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
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              "      display:flex;\n",
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              "\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
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              "\n",
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              "      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",
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              "      fill: #FFFFFF;\n",
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              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-42184e2d-5eff-425a-beec-9f3c9a6f2daf');\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-39005ada-b107-402c-bc16-8b267dea7196\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-39005ada-b107-402c-bc16-8b267dea7196')\"\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-39005ada-b107-402c-bc16-8b267dea7196 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "movies",
              "summary": "{\n  \"name\": \"movies\",\n  \"rows\": 4809,\n  \"fields\": [\n    {\n      \"column\": \"movie_id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 88653,\n        \"min\": 5,\n        \"max\": 459488,\n        \"num_unique_values\": 4803,\n        \"samples\": [\n          8427,\n          15581,\n          2013\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4800,\n        \"samples\": [\n          \"I Spy\",\n          \"Who's Your Caddy?\",\n          \"Sleepover\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"overview\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4800,\n        \"samples\": [\n          \"When the Switchblade, the most sophisticated prototype stealth fighter created yet, is stolen from the U.S. government, one of the United States' top spies, Alex Scott, is called to action. What he doesn't expect is to get teamed up with a cocky civilian, World Class Boxing Champion Kelly Robinson, on a dangerous top secret espionage mission. Their assignment: using equal parts skill and humor, catch Arnold Gundars, one of the world's most successful arms dealers.\",\n          \"In 1931, three aboriginal girls escape after being plucked from their homes to be trained as domestic staff and set off on a trek across the Outback.\",\n          \"Kyle Fisher has one last night to celebrate life as a single man before marrying Laura, so he sets out to Vegas with four of his best buddies. But a drug and alcohol filled night on the town with a stripper who goes all the way, turns into a cold night in the desert with shovels when the stripper goes all the way into a body bag after dying in their bathroom. And that's just the first of the bodies to pile up before Kyle can walk down the aisle...\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"genres\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1175,\n        \"samples\": [\n          \"[{\\\"id\\\": 14, \\\"name\\\": \\\"Fantasy\\\"}, {\\\"id\\\": 18, \\\"name\\\": \\\"Drama\\\"}, {\\\"id\\\": 28, \\\"name\\\": \\\"Action\\\"}, {\\\"id\\\": 53, \\\"name\\\": \\\"Thriller\\\"}, {\\\"id\\\": 10749, \\\"name\\\": \\\"Romance\\\"}]\",\n          \"[{\\\"id\\\": 28, \\\"name\\\": \\\"Action\\\"}, {\\\"id\\\": 35, \\\"name\\\": \\\"Comedy\\\"}, {\\\"id\\\": 80, \\\"name\\\": \\\"Crime\\\"}, {\\\"id\\\": 18, \\\"name\\\": \\\"Drama\\\"}]\",\n          \"[{\\\"id\\\": 12, \\\"name\\\": \\\"Adventure\\\"}, {\\\"id\\\": 16, \\\"name\\\": \\\"Animation\\\"}, {\\\"id\\\": 10751, \\\"name\\\": \\\"Family\\\"}, {\\\"id\\\": 14, \\\"name\\\": \\\"Fantasy\\\"}, {\\\"id\\\": 878, \\\"name\\\": \\\"Science Fiction\\\"}]\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"keywords\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4222,\n        \"samples\": [\n          \"[{\\\"id\\\": 782, \\\"name\\\": \\\"assassin\\\"}, {\\\"id\\\": 1872, \\\"name\\\": \\\"loss of father\\\"}, {\\\"id\\\": 2908, \\\"name\\\": \\\"secret society\\\"}, {\\\"id\\\": 3045, \\\"name\\\": \\\"mission of murder\\\"}, {\\\"id\\\": 9748, \\\"name\\\": \\\"revenge\\\"}]\",\n          \"[{\\\"id\\\": 2987, \\\"name\\\": \\\"gang war\\\"}, {\\\"id\\\": 4942, \\\"name\\\": \\\"victim of murder\\\"}, {\\\"id\\\": 5332, \\\"name\\\": \\\"greed\\\"}, {\\\"id\\\": 6062, \\\"name\\\": \\\"hostility\\\"}, {\\\"id\\\": 156212, \\\"name\\\": \\\"spaghetti western\\\"}]\",\n          \"[{\\\"id\\\": 787, \\\"name\\\": \\\"mississippi\\\"}, {\\\"id\\\": 818, \\\"name\\\": \\\"based on novel\\\"}, {\\\"id\\\": 2804, \\\"name\\\": \\\"exploitation\\\"}, {\\\"id\\\": 6984, \\\"name\\\": \\\"racial segregation\\\"}, {\\\"id\\\": 12425, \\\"name\\\": \\\"racism\\\"}, {\\\"id\\\": 13028, \\\"name\\\": \\\"writer\\\"}, {\\\"id\\\": 13097, \\\"name\\\": \\\"maid\\\"}, {\\\"id\\\": 13098, \\\"name\\\": \\\"moral courage\\\"}, {\\\"id\\\": 13099, \\\"name\\\": \\\"ressentiment\\\"}, {\\\"id\\\": 176219, \\\"name\\\": \\\"southern belle\\\"}, {\\\"id\\\": 204173, \\\"name\\\": \\\"racial issues\\\"}, {\\\"id\\\": 208992, \\\"name\\\": \\\"1960s\\\"}, {\\\"id\\\": 209334, \\\"name\\\": \\\"newspaper columnist\\\"}]\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cast\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4761,\n        \"samples\": [\n          \"[{\\\"cast_id\\\": 1, \\\"character\\\": \\\"Mac Radner\\\", \\\"credit_id\\\": \\\"52fe4d169251416c9110a20b\\\", \\\"gender\\\": 2, \\\"id\\\": 19274, \\\"name\\\": \\\"Seth Rogen\\\", \\\"order\\\": 0}, {\\\"cast_id\\\": 3, \\\"character\\\": \\\"Teddy Sanders\\\", \\\"credit_id\\\": \\\"52fe4d169251416c9110a213\\\", \\\"gender\\\": 2, \\\"id\\\": 29222, \\\"name\\\": \\\"Zac Efron\\\", \\\"order\\\": 1}, {\\\"cast_id\\\": 2, \\\"character\\\": \\\"Kelly Radner\\\", \\\"credit_id\\\": \\\"52fe4d169251416c9110a20f\\\", \\\"gender\\\": 1, \\\"id\\\": 9827, \\\"name\\\": \\\"Rose Byrne\\\", \\\"order\\\": 2}, {\\\"cast_id\\\": 4, \\\"character\\\": \\\"Pete Regazolli\\\", \\\"credit_id\\\": \\\"52fe4d169251416c9110a217\\\", \\\"gender\\\": 2, \\\"id\\\": 54697, \\\"name\\\": \\\"Dave Franco\\\", \\\"order\\\": 3}, {\\\"cast_id\\\": 14, \\\"character\\\": \\\"Jimmy Blevins\\\", \\\"credit_id\\\": \\\"52fe4d169251416c9110a245\\\", \\\"gender\\\": 2, \\\"id\\\": 198150, \\\"name\\\": \\\"Ike Barinholtz\\\", \\\"order\\\": 4}, {\\\"cast_id\\\": 5, \\\"character\\\": \\\"Scoonie Schofield\\\", \\\"credit_id\\\": \\\"52fe4d169251416c9110a21b\\\", \\\"gender\\\": 2, \\\"id\\\": 54691, \\\"name\\\": \\\"Christopher Mintz-Plasse\\\", \\\"order\\\": 5}, {\\\"cast_id\\\": 11, \\\"character\\\": \\\"Paula Faldt\\\", \\\"credit_id\\\": \\\"52fe4d169251416c9110a239\\\", \\\"gender\\\": 1, \\\"id\\\": 54708, \\\"name\\\": \\\"Carla Gallo\\\", \\\"order\\\": 6}, {\\\"cast_id\\\": 20, \\\"character\\\": \\\"Brooke Shy\\\", \\\"credit_id\\\": \\\"5326a290c3a3683dbf003e48\\\", \\\"gender\\\": 1, \\\"id\\\": 934243, \\\"name\\\": \\\"Halston Sage\\\", \\\"order\\\": 7}, {\\\"cast_id\\\": 15, \\\"character\\\": \\\"Assjuice\\\", \\\"credit_id\\\": \\\"52fe4d169251416c9110a249\\\", \\\"gender\\\": 2, \\\"id\\\": 104561, \\\"name\\\": \\\"Craig Roberts\\\", \\\"order\\\": 8}, {\\\"cast_id\\\": 21, \\\"character\\\": \\\"Officer Watkins\\\", \\\"credit_id\\\": \\\"5326a2b3c3a3682378003f42\\\", \\\"gender\\\": 0, \\\"id\\\": 500427, \\\"name\\\": \\\"Hannibal Buress\\\", \\\"order\\\": 9}, {\\\"cast_id\\\": 9, \\\"character\\\": \\\"Carol Gladstone\\\", \\\"credit_id\\\": \\\"52fe4d169251416c9110a231\\\", \\\"gender\\\": 1, \\\"id\\\": 14406, \\\"name\\\": \\\"Lisa Kudrow\\\", \\\"order\\\": 10}, {\\\"cast_id\\\": 16, \\\"character\\\": \\\"Dr. Theodorakis\\\", \\\"credit_id\\\": \\\"52fe4d169251416c9110a24d\\\", \\\"gender\\\": 0, \\\"id\\\": 111683, \\\"name\\\": \\\"Jason Mantzoukas\\\", \\\"order\\\": 11}, {\\\"cast_id\\\": 42, \\\"character\\\": \\\"Garf\\\", \\\"credit_id\\\": \\\"54cf6fef92514147570082cf\\\", \\\"gender\\\": 2, \\\"id\\\": 1400880, \\\"name\\\": \\\"Jerrod Carmichael\\\", \\\"order\\\": 12}, {\\\"cast_id\\\": 40, \\\"character\\\": \\\"Whitney\\\", \\\"credit_id\\\": \\\"53fd31e7c3a3684c8c0004da\\\", \\\"gender\\\": 1, \\\"id\\\": 496731, \\\"name\\\": \\\"Ali Cobrin\\\", \\\"order\\\": 13}, {\\\"cast_id\\\": 65, \\\"character\\\": \\\"Stella Radner\\\", 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{\\\"cast_id\\\": 10, \\\"character\\\": \\\"Sebastian Cremmington\\\", \\\"credit_id\\\": \\\"52fe4d169251416c9110a235\\\", \\\"gender\\\": 2, \\\"id\\\": 543505, \\\"name\\\": \\\"Jake Johnson\\\", \\\"order\\\": 19}, {\\\"cast_id\\\": 71, \\\"character\\\": \\\"Thumbsucker\\\", \\\"credit_id\\\": \\\"56ca15de92514123b8001c84\\\", \\\"gender\\\": 2, \\\"id\\\": 1581100, \\\"name\\\": \\\"Steven Michael Eich\\\", \\\"order\\\": 20}, {\\\"cast_id\\\": 69, \\\"character\\\": \\\"Rival Frat Guy #1\\\", \\\"credit_id\\\": \\\"56ca14ee92514123f8001ab5\\\", \\\"gender\\\": 2, \\\"id\\\": 1037154, \\\"name\\\": \\\"Fahim Anwar\\\", \\\"order\\\": 21}, {\\\"cast_id\\\": 70, \\\"character\\\": \\\"Rival Frat Guy #2\\\", \\\"credit_id\\\": \\\"56ca15029251411ea80089e2\\\", \\\"gender\\\": 2, \\\"id\\\": 1581098, \\\"name\\\": \\\"Ori Kalmus\\\", \\\"order\\\": 22}, {\\\"cast_id\\\": 44, \\\"character\\\": \\\"Toga #1\\\", \\\"credit_id\\\": \\\"55b08b8cc3a3682d6300ade0\\\", \\\"gender\\\": 2, 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Hawthorne\\\"}, {\\\"credit_id\\\": \\\"5990448e925141675f02afa7\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 0, \\\"id\\\": 1868865, \\\"job\\\": \\\"Propmaker\\\", \\\"name\\\": \\\"Robert McDonald\\\"}, {\\\"credit_id\\\": \\\"59904571925141670b02c572\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 0, \\\"id\\\": 1868867, \\\"job\\\": \\\"Propmaker\\\", \\\"name\\\": \\\"Robert Prchal\\\"}, {\\\"credit_id\\\": \\\"599045da925141673902a9d7\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 0, \\\"id\\\": 1868868, \\\"job\\\": \\\"Propmaker\\\", \\\"name\\\": \\\"Hal Schlax\\\"}, {\\\"credit_id\\\": \\\"59904c34925141675f02b8bc\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 2, \\\"id\\\": 1868877, \\\"job\\\": \\\"Stunt Coordinator\\\", \\\"name\\\": \\\"John Molo\\\"}, {\\\"credit_id\\\": \\\"59904cac925141673e02d7a8\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868878, \\\"job\\\": \\\"Camera Operator\\\", \\\"name\\\": \\\"Todd Dos Reis\\\"}, {\\\"credit_id\\\": \\\"59904d04925141676602ba9a\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868879, \\\"job\\\": \\\"Dolly Grip\\\", \\\"name\\\": \\\"Jason D. Hodges\\\"}, {\\\"credit_id\\\": \\\"59904d3bc3a36874b402a4b0\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868880, \\\"job\\\": \\\"Key Grip\\\", \\\"name\\\": \\\"Mike Hodges\\\"}, {\\\"credit_id\\\": \\\"59904df0925141672302c7da\\\", \\\"department\\\": \\\"Lighting\\\", \\\"gender\\\": 0, \\\"id\\\": 1868881, \\\"job\\\": \\\"Gaffer\\\", \\\"name\\\": \\\"Kal Manning\\\"}, {\\\"credit_id\\\": \\\"59904ede925141675f02bbe6\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868889, \\\"job\\\": \\\"Dolly Grip\\\", \\\"name\\\": \\\"Larry McCarron\\\"}, {\\\"credit_id\\\": \\\"59905109925141673e02dcde\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 0, \\\"id\\\": 1868892, \\\"job\\\": \\\"Music Editor\\\", \\\"name\\\": \\\"Kim Strand\\\"}]\",\n          \"[{\\\"credit_id\\\": \\\"52fe45589251416c9102f1af\\\", \\\"department\\\": \\\"Directing\\\", \\\"gender\\\": 2, \\\"id\\\": 5281, \\\"job\\\": \\\"Director\\\", \\\"name\\\": \\\"Spike Lee\\\"}, {\\\"credit_id\\\": \\\"578525bd92514137c20047ee\\\", \\\"department\\\": \\\"Writing\\\", \\\"gender\\\": 1, \\\"id\\\": 13602, \\\"job\\\": \\\"Writer\\\", \\\"name\\\": \\\"Joie Lee\\\"}, {\\\"credit_id\\\": \\\"52fe45589251416c9102f1b5\\\", \\\"department\\\": \\\"Writing\\\", \\\"gender\\\": 2, \\\"id\\\": 13603, \\\"job\\\": \\\"Writer\\\", \\\"name\\\": \\\"Cinqu\\\\u00e9 Lee\\\"}]\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import ast"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:34:19.382331Z",
          "iopub.execute_input": "2021-06-21T12:34:19.382856Z",
          "iopub.status.idle": "2021-06-21T12:34:19.387416Z",
          "shell.execute_reply.started": "2021-06-21T12:34:19.382822Z",
          "shell.execute_reply": "2021-06-21T12:34:19.386451Z"
        },
        "trusted": true,
        "id": "I0QVb31ZWaGL"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def convert(text):\n",
        "    L = []\n",
        "    for i in ast.literal_eval(text):\n",
        "        L.append(i['name'])\n",
        "    return L"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:36:47.539904Z",
          "iopub.execute_input": "2021-06-21T12:36:47.540453Z",
          "iopub.status.idle": "2021-06-21T12:36:47.545014Z",
          "shell.execute_reply.started": "2021-06-21T12:36:47.540418Z",
          "shell.execute_reply": "2021-06-21T12:36:47.544243Z"
        },
        "trusted": true,
        "id": "ahoFdSkqWaGL"
      },
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "movies.dropna(inplace=True)"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:36:50.059006Z",
          "iopub.execute_input": "2021-06-21T12:36:50.059538Z",
          "iopub.status.idle": "2021-06-21T12:36:50.073095Z",
          "shell.execute_reply.started": "2021-06-21T12:36:50.059504Z",
          "shell.execute_reply": "2021-06-21T12:36:50.071577Z"
        },
        "trusted": true,
        "id": "rjTOytDIWaGL"
      },
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "movies['genres'] = movies['genres'].apply(convert)\n",
        "movies.head()"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:36:52.343645Z",
          "iopub.execute_input": "2021-06-21T12:36:52.344121Z",
          "iopub.status.idle": "2021-06-21T12:36:52.523910Z",
          "shell.execute_reply.started": "2021-06-21T12:36:52.344082Z",
          "shell.execute_reply": "2021-06-21T12:36:52.522805Z"
        },
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 293
        },
        "id": "8Kp7QGCdWaGL",
        "outputId": "622cdf5d-0342-41bf-a9fc-f5a7b70d87bf"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   movie_id                                     title  \\\n",
              "0     19995                                    Avatar   \n",
              "1       285  Pirates of the Caribbean: At World's End   \n",
              "2    206647                                   Spectre   \n",
              "3     49026                     The Dark Knight Rises   \n",
              "4     49529                               John Carter   \n",
              "\n",
              "                                            overview  \\\n",
              "0  In the 22nd century, a paraplegic Marine is di...   \n",
              "1  Captain Barbossa, long believed to be dead, ha...   \n",
              "2  A cryptic message from Bond’s past sends him o...   \n",
              "3  Following the death of District Attorney Harve...   \n",
              "4  John Carter is a war-weary, former military ca...   \n",
              "\n",
              "                                          genres  \\\n",
              "0  [Action, Adventure, Fantasy, Science Fiction]   \n",
              "1                   [Adventure, Fantasy, Action]   \n",
              "2                     [Action, Adventure, Crime]   \n",
              "3               [Action, Crime, Drama, Thriller]   \n",
              "4           [Action, Adventure, Science Fiction]   \n",
              "\n",
              "                                            keywords  \\\n",
              "0  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...   \n",
              "1  [{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...   \n",
              "2  [{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...   \n",
              "3  [{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...   \n",
              "4  [{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...   \n",
              "\n",
              "                                                cast  \\\n",
              "0  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
              "1  [{\"cast_id\": 4, \"character\": \"Captain Jack Spa...   \n",
              "2  [{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...   \n",
              "3  [{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...   \n",
              "4  [{\"cast_id\": 5, \"character\": \"John Carter\", \"c...   \n",
              "\n",
              "                                                crew  \n",
              "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  \n",
              "1  [{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...  \n",
              "2  [{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...  \n",
              "3  [{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...  \n",
              "4  [{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-192a6e18-a3f4-4241-842c-73477f1beed9\" 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>movie_id</th>\n",
              "      <th>title</th>\n",
              "      <th>overview</th>\n",
              "      <th>genres</th>\n",
              "      <th>keywords</th>\n",
              "      <th>cast</th>\n",
              "      <th>crew</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>19995</td>\n",
              "      <td>Avatar</td>\n",
              "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
              "      <td>[Action, Adventure, Fantasy, Science Fiction]</td>\n",
              "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
              "      <td>[{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...</td>\n",
              "      <td>[{\"credit_id\": \"52fe48009251416c750aca23\", \"de...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>285</td>\n",
              "      <td>Pirates of the Caribbean: At World's End</td>\n",
              "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
              "      <td>[Adventure, Fantasy, Action]</td>\n",
              "      <td>[{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...</td>\n",
              "      <td>[{\"cast_id\": 4, \"character\": \"Captain Jack Spa...</td>\n",
              "      <td>[{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>206647</td>\n",
              "      <td>Spectre</td>\n",
              "      <td>A cryptic message from Bond’s past sends him o...</td>\n",
              "      <td>[Action, Adventure, Crime]</td>\n",
              "      <td>[{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...</td>\n",
              "      <td>[{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...</td>\n",
              "      <td>[{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>49026</td>\n",
              "      <td>The Dark Knight Rises</td>\n",
              "      <td>Following the death of District Attorney Harve...</td>\n",
              "      <td>[Action, Crime, Drama, Thriller]</td>\n",
              "      <td>[{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...</td>\n",
              "      <td>[{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...</td>\n",
              "      <td>[{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>49529</td>\n",
              "      <td>John Carter</td>\n",
              "      <td>John Carter is a war-weary, former military ca...</td>\n",
              "      <td>[Action, Adventure, Science Fiction]</td>\n",
              "      <td>[{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...</td>\n",
              "      <td>[{\"cast_id\": 5, \"character\": \"John Carter\", \"c...</td>\n",
              "      <td>[{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-192a6e18-a3f4-4241-842c-73477f1beed9')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "    .colab-df-convert:hover {\n",
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              "                                                    [key], {});\n",
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              "        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",
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              "  .colab-df-quickchart-complete:disabled,\n",
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              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
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              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
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              "      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",
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              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "movies",
              "summary": "{\n  \"name\": \"movies\",\n  \"rows\": 4806,\n  \"fields\": [\n    {\n      \"column\": \"movie_id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 88309,\n        \"min\": 5,\n        \"max\": 447027,\n        \"num_unique_values\": 4800,\n        \"samples\": [\n          8427,\n          9555,\n          10029\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4797,\n        \"samples\": [\n          \"Two Brothers\",\n          \"From Paris with Love\",\n          \"Walk the Line\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"overview\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4800,\n        \"samples\": [\n          \"When the Switchblade, the most sophisticated prototype stealth fighter created yet, is stolen from the U.S. government, one of the United States' top spies, Alex Scott, is called to action. What he doesn't expect is to get teamed up with a cocky civilian, World Class Boxing Champion Kelly Robinson, on a dangerous top secret espionage mission. Their assignment: using equal parts skill and humor, catch Arnold Gundars, one of the world's most successful arms dealers.\",\n          \"In 1931, three aboriginal girls escape after being plucked from their homes to be trained as domestic staff and set off on a trek across the Outback.\",\n          \"Kyle Fisher has one last night to celebrate life as a single man before marrying Laura, so he sets out to Vegas with four of his best buddies. But a drug and alcohol filled night on the town with a stripper who goes all the way, turns into a cold night in the desert with shovels when the stripper goes all the way into a body bag after dying in their bathroom. 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Freitag\\\"}, {\\\"credit_id\\\": \\\"57670fdbc3a3680722000106\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 2, \\\"id\\\": 11014, \\\"job\\\": \\\"Co-Producer\\\", \\\"name\\\": \\\"Ross Fanger\\\"}, {\\\"credit_id\\\": \\\"538d83750e0a26670b005de5\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 0, \\\"id\\\": 223991, \\\"job\\\": \\\"Art Direction\\\", \\\"name\\\": \\\"Sandi Tanaka\\\"}, {\\\"credit_id\\\": \\\"576710f192514133c5001213\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 0, \\\"id\\\": 1182092, \\\"job\\\": \\\"Executive Producer\\\", \\\"name\\\": \\\"John Palermo\\\"}, {\\\"credit_id\\\": \\\"55402d2fc3a3681da0000633\\\", \\\"department\\\": \\\"Visual Effects\\\", \\\"gender\\\": 0, \\\"id\\\": 1395269, \\\"job\\\": \\\"Visual Effects Supervisor\\\", \\\"name\\\": \\\"John Bruno\\\"}, {\\\"credit_id\\\": \\\"563a9ed79251416d520145a0\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 0, \\\"id\\\": 1401803, \\\"job\\\": \\\"Digital Effects Supervisor\\\", \\\"name\\\": \\\"Guy Williams\\\"}, {\\\"credit_id\\\": \\\"5767112fc3a3680722000132\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 0, \\\"id\\\": 1432021, \\\"job\\\": \\\"Co-Producer\\\", \\\"name\\\": \\\"Kurt Williams\\\"}, {\\\"credit_id\\\": \\\"55423048c3a36829e5003bc8\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 0, \\\"id\\\": 1447557, \\\"job\\\": \\\"Compositors\\\", \\\"name\\\": \\\"Rachel Wyn Dunn\\\"}, {\\\"credit_id\\\": \\\"552986b4c3a368596e001a79\\\", \\\"department\\\": \\\"Visual Effects\\\", \\\"gender\\\": 0, \\\"id\\\": 1452932, \\\"job\\\": \\\"Animation\\\", \\\"name\\\": \\\"Joel Fletcher\\\"}, {\\\"credit_id\\\": \\\"57670f92925141655a000109\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 0, \\\"id\\\": 1477146, \\\"job\\\": \\\"Co-Producer\\\", \\\"name\\\": \\\"Lee Cleary\\\"}, {\\\"credit_id\\\": \\\"5767107c925141655a00012c\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 0, \\\"id\\\": 1477147, \\\"job\\\": \\\"Associate Producer\\\", \\\"name\\\": \\\"David Gorder\\\"}, {\\\"credit_id\\\": \\\"5767105bc3a36850c4000573\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 2, \\\"id\\\": 1477203, \\\"job\\\": \\\"Associate Producer\\\", \\\"name\\\": \\\"Luca Marco Paracels\\\"}]\",\n          \"[{\\\"credit_id\\\": \\\"58dd0e90c3a368223e00b59c\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 1, \\\"id\\\": 546, \\\"job\\\": \\\"Casting\\\", \\\"name\\\": \\\"Jeanne McCarthy\\\"}, {\\\"credit_id\\\": \\\"52fe43bb9251416c7501bf83\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 2, \\\"id\\\": 2043, \\\"job\\\": \\\"Producer\\\", \\\"name\\\": \\\"John Davis\\\"}, {\\\"credit_id\\\": \\\"5539fe35c3a3685cf8002f1e\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 2, \\\"id\\\": 3393, \\\"job\\\": \\\"Original Music Composer\\\", \\\"name\\\": \\\"David Newman\\\"}, {\\\"credit_id\\\": \\\"58dd0d3fc3a368228a00aa50\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 0, \\\"id\\\": 6187, \\\"job\\\": \\\"Associate Producer\\\", \\\"name\\\": \\\"Aldric La'Auli Porter\\\"}, {\\\"credit_id\\\": \\\"5990427f925141672302ba00\\\", \\\"department\\\": \\\"Directing\\\", \\\"gender\\\": 0, \\\"id\\\": 6187, \\\"job\\\": \\\"First Assistant Director\\\", \\\"name\\\": \\\"Aldric La'Auli Porter\\\"}, {\\\"credit_id\\\": \\\"58dd0efdc3a368228300b438\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 2, \\\"id\\\": 6877, \\\"job\\\": \\\"Production Design\\\", \\\"name\\\": \\\"William Sandell\\\"}, {\\\"credit_id\\\": \\\"58dd0f56925141411000c340\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 2, \\\"id\\\": 6880, \\\"job\\\": \\\"Set Decoration\\\", \\\"name\\\": \\\"Robert Gould\\\"}, {\\\"credit_id\\\": \\\"58dd0f1fc3a36822a600c1dd\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 2, \\\"id\\\": 8705, \\\"job\\\": \\\"Art Direction\\\", \\\"name\\\": \\\"Brad Ricker\\\"}, {\\\"credit_id\\\": \\\"5990490b925141673e02d2f5\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 0, \\\"id\\\": 8763, \\\"job\\\": \\\"Foley Editor\\\", \\\"name\\\": \\\"Dan Yale\\\"}, {\\\"credit_id\\\": \\\"58dd0d3192514140f600b915\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 2, \\\"id\\\": 8880, \\\"job\\\": \\\"Executive Producer\\\", \\\"name\\\": \\\"Neil A. Machlis\\\"}, {\\\"credit_id\\\": \\\"58dd0e0bc3a368229300bdf6\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 1, \\\"id\\\": 14377, \\\"job\\\": \\\"Casting\\\", \\\"name\\\": \\\"Juel Bestrop\\\"}, {\\\"credit_id\\\": \\\"599045b6925141672302bdac\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 0, \\\"id\\\": 12639, \\\"job\\\": \\\"Set Designer\\\", \\\"name\\\": \\\"Hugo Santiago\\\"}, {\\\"credit_id\\\": \\\"58dd0f69c3a368228300b48f\\\", \\\"department\\\": \\\"Costume & Make-Up\\\", \\\"gender\\\": 1, \\\"id\\\": 15524, \\\"job\\\": \\\"Costume Design\\\", \\\"name\\\": \\\"Ruth E. Carter\\\"}, {\\\"credit_id\\\": \\\"52fe43bb9251416c7501bf9b\\\", \\\"department\\\": \\\"Editing\\\", \\\"gender\\\": 2, \\\"id\\\": 18276, \\\"job\\\": \\\"Editor\\\", \\\"name\\\": \\\"Craig Herring\\\"}, {\\\"credit_id\\\": \\\"58dd0f2f92514140fa00c653\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 2, \\\"id\\\": 13434, \\\"job\\\": \\\"Supervising Art Director\\\", \\\"name\\\": \\\"Bruce Crone\\\"}, {\\\"credit_id\\\": \\\"59904bcdc3a368744202b9fb\\\", \\\"department\\\": \\\"Visual Effects\\\", \\\"gender\\\": 0, \\\"id\\\": 27100, \\\"job\\\": \\\"Visual Effects Supervisor\\\", \\\"name\\\": \\\"Douglas Smith\\\"}, {\\\"credit_id\\\": \\\"52fe43bb9251416c7501bf7d\\\", \\\"department\\\": \\\"Writing\\\", \\\"gender\\\": 2, \\\"id\\\": 31026, \\\"job\\\": \\\"Screenplay\\\", \\\"name\\\": \\\"Larry Levin\\\"}, {\\\"credit_id\\\": \\\"58dd0c8592514140fa00c441\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 1, \\\"id\\\": 49907, \\\"job\\\": \\\"Co-Producer\\\", \\\"name\\\": \\\"Michele Imperato\\\"}, {\\\"credit_id\\\": \\\"58dd0fb0c3a368227300bfad\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 1, \\\"id\\\": 49907, \\\"job\\\": \\\"Unit Production Manager\\\", \\\"name\\\": \\\"Michele Imperato\\\"}, {\\\"credit_id\\\": \\\"52fe43bb9251416c7501bfb1\\\", \\\"department\\\": \\\"Directing\\\", \\\"gender\\\": 2, \\\"id\\\": 52112, \\\"job\\\": \\\"Director\\\", \\\"name\\\": \\\"Steve Carr\\\"}, {\\\"credit_id\\\": \\\"5990471cc3a36874a302bbdc\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 2, \\\"id\\\": 52193, \\\"job\\\": \\\"Dialogue Editor\\\", \\\"name\\\": \\\"R.J. Kizer\\\"}, {\\\"credit_id\\\": \\\"52fe43bb9251416c7501bf95\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 2, \\\"id\\\": 56324, \\\"job\\\": \\\"Director of Photography\\\", \\\"name\\\": \\\"Daryn Okada\\\"}, {\\\"credit_id\\\": \\\"52fe43bb9251416c7501bf89\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 2, \\\"id\\\": 56053, \\\"job\\\": \\\"Producer\\\", \\\"name\\\": \\\"Joseph Singer\\\"}, {\\\"credit_id\\\": \\\"59904a06925141676602b701\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 2, \\\"id\\\": 57769, \\\"job\\\": \\\"Visual Effects Editor\\\", \\\"name\\\": \\\"Peter S. Elliot\\\"}, {\\\"credit_id\\\": \\\"58dd0d4c92514140fa00c4da\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 1, \\\"id\\\": 66921, \\\"job\\\": \\\"Co-Producer\\\", \\\"name\\\": \\\"Heidi Santelli\\\"}, {\\\"credit_id\\\": \\\"59905155c3a36874b402a906\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 0, \\\"id\\\": 91324, \\\"job\\\": \\\"Music Editor\\\", \\\"name\\\": \\\"Tom Villano\\\"}, {\\\"credit_id\\\": \\\"5990424a925141676602adf3\\\", \\\"department\\\": \\\"Costume & Make-Up\\\", \\\"gender\\\": 0, \\\"id\\\": 168214, \\\"job\\\": \\\"Makeup Artist\\\", \\\"name\\\": \\\"Judy Murdock\\\"}, {\\\"credit_id\\\": \\\"59904eae925141673e02da30\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 2, \\\"id\\\": 555085, \\\"job\\\": \\\"Still Photographer\\\", \\\"name\\\": \\\"Bruce McBroom\\\"}, {\\\"credit_id\\\": \\\"599041d0c3a36874a302b5e9\\\", \\\"department\\\": \\\"Costume & Make-Up\\\", \\\"gender\\\": 0, \\\"id\\\": 1015965, \\\"job\\\": 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\\\"Sound\\\", \\\"gender\\\": 0, \\\"id\\\": 1367505, \\\"job\\\": \\\"Dialogue Editor\\\", \\\"name\\\": \\\"Ted Caplan\\\"}, {\\\"credit_id\\\": \\\"5990439d925141675902ac1b\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 0, \\\"id\\\": 1377216, \\\"job\\\": \\\"Art Department Coordinator\\\", \\\"name\\\": \\\"Gerald Lehtola\\\"}, {\\\"credit_id\\\": \\\"599045fb925141675f02b16c\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 0, \\\"id\\\": 1378165, \\\"job\\\": \\\"Property Master\\\", \\\"name\\\": \\\"Mark Wade\\\"}, {\\\"credit_id\\\": \\\"58dd0fd0c3a368228a00abfb\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 1, \\\"id\\\": 1378749, \\\"job\\\": \\\"Set Designer\\\", \\\"name\\\": \\\"Patricia Klawonn\\\"}, {\\\"credit_id\\\": \\\"58dd1023c3a368227300c025\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 0, \\\"id\\\": 1389585, \\\"job\\\": \\\"Set Designer\\\", \\\"name\\\": \\\"Bill Taliaferro\\\"}, {\\\"credit_id\\\": \\\"59904785c3a3687493029126\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 0, \\\"id\\\": 1390527, \\\"job\\\": \\\"Sound Effects Editor\\\", \\\"name\\\": \\\"Dave Kulczycki\\\"}, {\\\"credit_id\\\": \\\"59905010925141675f02bd38\\\", \\\"department\\\": \\\"Costume & Make-Up\\\", \\\"gender\\\": 0, \\\"id\\\": 1399322, \\\"job\\\": \\\"Set Costumer\\\", \\\"name\\\": \\\"Elizabeth Frank\\\"}, {\\\"credit_id\\\": \\\"59904d81925141670b02cf99\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 2, \\\"id\\\": 1400374, \\\"job\\\": \\\"Camera Operator\\\", \\\"name\\\": \\\"Casey Hotchkiss\\\"}, {\\\"credit_id\\\": \\\"599046d2c3a3687493029074\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 0, \\\"id\\\": 1404841, \\\"job\\\": \\\"ADR Editor\\\", \\\"name\\\": \\\"Zack Davis\\\"}, {\\\"credit_id\\\": \\\"59904214c3a368746102979f\\\", \\\"department\\\": \\\"Costume & Make-Up\\\", \\\"gender\\\": 0, \\\"id\\\": 1408278, \\\"job\\\": \\\"Hair Department Head\\\", \\\"name\\\": \\\"Erma Kent\\\"}, {\\\"credit_id\\\": \\\"599048b2925141670b02c97f\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 0, \\\"id\\\": 1416153, \\\"job\\\": \\\"Supervising Sound Editor\\\", \\\"name\\\": \\\"Donald Sylvester\\\"}, {\\\"credit_id\\\": \\\"59904ad6c3a36874b402a1cc\\\", \\\"department\\\": \\\"Visual Effects\\\", \\\"gender\\\": 0, \\\"id\\\": 1416167, \\\"job\\\": \\\"Visual Effects Producer\\\", \\\"name\\\": \\\"John Kilkenny\\\"}, {\\\"credit_id\\\": \\\"56ae7d849251416357002915\\\", \\\"department\\\": \\\"Costume & Make-Up\\\", \\\"gender\\\": 1, \\\"id\\\": 1424894, \\\"job\\\": \\\"Hairstylist\\\", \\\"name\\\": \\\"Camille Friend\\\"}, {\\\"credit_id\\\": \\\"599047ab925141674c02b48e\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 0, \\\"id\\\": 1425343, \\\"job\\\": \\\"ADR Editor\\\", \\\"name\\\": \\\"Vanessa Lapato\\\"}, {\\\"credit_id\\\": \\\"59904951925141673902ae4e\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 0, \\\"id\\\": 1442509, \\\"job\\\": 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Lorimer\\\"}, {\\\"credit_id\\\": \\\"59904427925141675902acc6\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 0, \\\"id\\\": 1451398, \\\"job\\\": \\\"Greensman\\\", \\\"name\\\": \\\"Bryan McBrien\\\"}, {\\\"credit_id\\\": \\\"59904629c3a368744202b2d6\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 0, \\\"id\\\": 1453276, \\\"job\\\": \\\"Construction Coordinator\\\", \\\"name\\\": \\\"Butch West\\\"}, {\\\"credit_id\\\": \\\"599034bcc3a3687493027d17\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 2, \\\"id\\\": 1454647, \\\"job\\\": \\\"Creator\\\", \\\"name\\\": \\\"Hugh Lofting\\\"}, {\\\"credit_id\\\": \\\"58dd11f1c3a36822ae00bc75\\\", \\\"department\\\": \\\"Directing\\\", \\\"gender\\\": 1, \\\"id\\\": 1457729, \\\"job\\\": \\\"Script Supervisor\\\", \\\"name\\\": \\\"Nancy Karlin\\\"}, {\\\"credit_id\\\": \\\"59904a8d925141675f02b6d8\\\", \\\"department\\\": \\\"Visual Effects\\\", \\\"gender\\\": 0, \\\"id\\\": 1496418, \\\"job\\\": \\\"Visual Effects Coordinator\\\", \\\"name\\\": \\\"Mitchell Ferm\\\"}, {\\\"credit_id\\\": \\\"599050e6925141674c02beef\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 2, \\\"id\\\": 1550058, \\\"job\\\": \\\"Music Editor\\\", \\\"name\\\": \\\"Jim Harrison\\\"}, {\\\"credit_id\\\": \\\"58dd11b0c3a368223e00b7db\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 0, \\\"id\\\": 1585159, \\\"job\\\": \\\"Location Scout\\\", \\\"name\\\": \\\"Jasan Sherman\\\"}, {\\\"credit_id\\\": \\\"5990453a925141673902a8ec\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 0, \\\"id\\\": 1586888, \\\"job\\\": \\\"Sculptor\\\", \\\"name\\\": \\\"Thomas Meikle\\\"}, {\\\"credit_id\\\": \\\"5990506dc3a368747302c6e3\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 0, \\\"id\\\": 1587383, \\\"job\\\": \\\"Music Supervisor\\\", \\\"name\\\": \\\"Spring Aspers\\\"}, {\\\"credit_id\\\": \\\"59904fbb925141672302c9ed\\\", \\\"department\\\": \\\"Costume & Make-Up\\\", \\\"gender\\\": 0, \\\"id\\\": 1610228, \\\"job\\\": \\\"Key Costumer\\\", \\\"name\\\": \\\"Craig Anthony\\\"}, {\\\"credit_id\\\": \\\"599047e3925141674c02b4cf\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 2, \\\"id\\\": 1737829, \\\"job\\\": \\\"Boom Operator\\\", \\\"name\\\": \\\"Harrison D. Marsh\\\"}, {\\\"credit_id\\\": \\\"58dd10b2c3a368228300b588\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 1, \\\"id\\\": 1763970, \\\"job\\\": \\\"Casting Assistant\\\", \\\"name\\\": \\\"Nadia Lubbe Simon\\\"}, {\\\"credit_id\\\": \\\"58dd1052925141413c00beac\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 1, \\\"id\\\": 1786614, \\\"job\\\": \\\"Casting Associate\\\", \\\"name\\\": \\\"Diana Jaher\\\"}, {\\\"credit_id\\\": \\\"58dd11d5c3a368229d00b6a0\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 0, \\\"id\\\": 1786616, \\\"job\\\": \\\"Location Manager\\\", \\\"name\\\": \\\"Craig W. van Gundy\\\"}, {\\\"credit_id\\\": \\\"58dd1254c3a368227300c1e6\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 1, \\\"id\\\": 1786618, \\\"job\\\": \\\"Production Coordinator\\\", \\\"name\\\": \\\"Kris Fullan Martinez\\\"}, {\\\"credit_id\\\": \\\"599042f4c3a368744202aefa\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 0, \\\"id\\\": 1868861, \\\"job\\\": \\\"Painter\\\", \\\"name\\\": \\\"Joe A. Hawthorne\\\"}, {\\\"credit_id\\\": \\\"5990448e925141675f02afa7\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 0, \\\"id\\\": 1868865, \\\"job\\\": \\\"Propmaker\\\", \\\"name\\\": \\\"Robert McDonald\\\"}, {\\\"credit_id\\\": \\\"59904571925141670b02c572\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 0, \\\"id\\\": 1868867, \\\"job\\\": \\\"Propmaker\\\", \\\"name\\\": \\\"Robert Prchal\\\"}, {\\\"credit_id\\\": \\\"599045da925141673902a9d7\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 0, \\\"id\\\": 1868868, \\\"job\\\": \\\"Propmaker\\\", \\\"name\\\": \\\"Hal Schlax\\\"}, {\\\"credit_id\\\": \\\"59904c34925141675f02b8bc\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 2, \\\"id\\\": 1868877, \\\"job\\\": \\\"Stunt Coordinator\\\", \\\"name\\\": \\\"John Molo\\\"}, {\\\"credit_id\\\": \\\"59904cac925141673e02d7a8\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868878, \\\"job\\\": \\\"Camera Operator\\\", \\\"name\\\": \\\"Todd Dos Reis\\\"}, {\\\"credit_id\\\": \\\"59904d04925141676602ba9a\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868879, \\\"job\\\": \\\"Dolly Grip\\\", \\\"name\\\": \\\"Jason D. Hodges\\\"}, {\\\"credit_id\\\": \\\"59904d3bc3a36874b402a4b0\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868880, \\\"job\\\": \\\"Key Grip\\\", \\\"name\\\": \\\"Mike Hodges\\\"}, {\\\"credit_id\\\": \\\"59904df0925141672302c7da\\\", \\\"department\\\": \\\"Lighting\\\", \\\"gender\\\": 0, \\\"id\\\": 1868881, \\\"job\\\": \\\"Gaffer\\\", \\\"name\\\": \\\"Kal Manning\\\"}, {\\\"credit_id\\\": \\\"59904ede925141675f02bbe6\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868889, \\\"job\\\": \\\"Dolly Grip\\\", \\\"name\\\": \\\"Larry McCarron\\\"}, {\\\"credit_id\\\": \\\"59905109925141673e02dcde\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 0, \\\"id\\\": 1868892, \\\"job\\\": \\\"Music Editor\\\", \\\"name\\\": \\\"Kim Strand\\\"}]\",\n          \"[{\\\"credit_id\\\": \\\"535c348b0e0a264fe1001e9f\\\", \\\"department\\\": \\\"Directing\\\", \\\"gender\\\": 0, \\\"id\\\": 1314011, \\\"job\\\": \\\"Director\\\", \\\"name\\\": \\\"Nathan Smith Jones\\\"}]\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "movies['keywords'] = movies['keywords'].apply(convert)\n",
        "movies.head()"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:36:55.304070Z",
          "iopub.execute_input": "2021-06-21T12:36:55.304439Z",
          "iopub.status.idle": "2021-06-21T12:36:55.738525Z",
          "shell.execute_reply.started": "2021-06-21T12:36:55.304408Z",
          "shell.execute_reply": "2021-06-21T12:36:55.737123Z"
        },
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 293
        },
        "id": "lPn4hNVWWaGL",
        "outputId": "80647daa-1ca8-48c9-d5ad-5ad8edbc8555"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   movie_id                                     title  \\\n",
              "0     19995                                    Avatar   \n",
              "1       285  Pirates of the Caribbean: At World's End   \n",
              "2    206647                                   Spectre   \n",
              "3     49026                     The Dark Knight Rises   \n",
              "4     49529                               John Carter   \n",
              "\n",
              "                                            overview  \\\n",
              "0  In the 22nd century, a paraplegic Marine is di...   \n",
              "1  Captain Barbossa, long believed to be dead, ha...   \n",
              "2  A cryptic message from Bond’s past sends him o...   \n",
              "3  Following the death of District Attorney Harve...   \n",
              "4  John Carter is a war-weary, former military ca...   \n",
              "\n",
              "                                          genres  \\\n",
              "0  [Action, Adventure, Fantasy, Science Fiction]   \n",
              "1                   [Adventure, Fantasy, Action]   \n",
              "2                     [Action, Adventure, Crime]   \n",
              "3               [Action, Crime, Drama, Thriller]   \n",
              "4           [Action, Adventure, Science Fiction]   \n",
              "\n",
              "                                            keywords  \\\n",
              "0  [culture clash, future, space war, space colon...   \n",
              "1  [ocean, drug abuse, exotic island, east india ...   \n",
              "2  [spy, based on novel, secret agent, sequel, mi...   \n",
              "3  [dc comics, crime fighter, terrorist, secret i...   \n",
              "4  [based on novel, mars, medallion, space travel...   \n",
              "\n",
              "                                                cast  \\\n",
              "0  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
              "1  [{\"cast_id\": 4, \"character\": \"Captain Jack Spa...   \n",
              "2  [{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...   \n",
              "3  [{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...   \n",
              "4  [{\"cast_id\": 5, \"character\": \"John Carter\", \"c...   \n",
              "\n",
              "                                                crew  \n",
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              "3  [{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...  \n",
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              "      <th></th>\n",
              "      <th>movie_id</th>\n",
              "      <th>title</th>\n",
              "      <th>overview</th>\n",
              "      <th>genres</th>\n",
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              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>19995</td>\n",
              "      <td>Avatar</td>\n",
              "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
              "      <td>[Action, Adventure, Fantasy, Science Fiction]</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>285</td>\n",
              "      <td>Pirates of the Caribbean: At World's End</td>\n",
              "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
              "      <td>[Adventure, Fantasy, Action]</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>206647</td>\n",
              "      <td>Spectre</td>\n",
              "      <td>A cryptic message from Bond’s past sends him o...</td>\n",
              "      <td>[Action, Adventure, Crime]</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>49026</td>\n",
              "      <td>The Dark Knight Rises</td>\n",
              "      <td>Following the death of District Attorney Harve...</td>\n",
              "      <td>[Action, Crime, Drama, Thriller]</td>\n",
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              "      <td>[{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>49529</td>\n",
              "      <td>John Carter</td>\n",
              "      <td>John Carter is a war-weary, former military ca...</td>\n",
              "      <td>[Action, Adventure, Science Fiction]</td>\n",
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              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
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              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "          + ' to learn more about interactive tables.';\n",
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              "    height: 32px;\n",
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              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
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              "    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",
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              "    background-color: var(--disabled-bg-color);\n",
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              "\n",
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              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
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              "  @keyframes spin {\n",
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              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "      border-bottom-color: var(--fill-color);\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
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              "      try {\n",
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              "            'suggestCharts', [key], {});\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
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What he doesn't expect is to get teamed up with a cocky civilian, World Class Boxing Champion Kelly Robinson, on a dangerous top secret espionage mission. Their assignment: using equal parts skill and humor, catch Arnold Gundars, one of the world's most successful arms dealers.\",\n          \"In 1931, three aboriginal girls escape after being plucked from their homes to be trained as domestic staff and set off on a trek across the Outback.\",\n          \"Kyle Fisher has one last night to celebrate life as a single man before marrying Laura, so he sets out to Vegas with four of his best buddies. But a drug and alcohol filled night on the town with a stripper who goes all the way, turns into a cold night in the desert with shovels when the stripper goes all the way into a body bag after dying in their bathroom. 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Marsh\\\"}, {\\\"credit_id\\\": \\\"58dd10b2c3a368228300b588\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 1, \\\"id\\\": 1763970, \\\"job\\\": \\\"Casting Assistant\\\", \\\"name\\\": \\\"Nadia Lubbe Simon\\\"}, {\\\"credit_id\\\": \\\"58dd1052925141413c00beac\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 1, \\\"id\\\": 1786614, \\\"job\\\": \\\"Casting Associate\\\", \\\"name\\\": \\\"Diana Jaher\\\"}, {\\\"credit_id\\\": \\\"58dd11d5c3a368229d00b6a0\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 0, \\\"id\\\": 1786616, \\\"job\\\": \\\"Location Manager\\\", \\\"name\\\": \\\"Craig W. van Gundy\\\"}, {\\\"credit_id\\\": \\\"58dd1254c3a368227300c1e6\\\", \\\"department\\\": \\\"Production\\\", \\\"gender\\\": 1, \\\"id\\\": 1786618, \\\"job\\\": \\\"Production Coordinator\\\", \\\"name\\\": \\\"Kris Fullan Martinez\\\"}, {\\\"credit_id\\\": \\\"599042f4c3a368744202aefa\\\", \\\"department\\\": \\\"Art\\\", \\\"gender\\\": 0, \\\"id\\\": 1868861, \\\"job\\\": \\\"Painter\\\", \\\"name\\\": \\\"Joe A. Hawthorne\\\"}, {\\\"credit_id\\\": \\\"5990448e925141675f02afa7\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 0, \\\"id\\\": 1868865, \\\"job\\\": \\\"Propmaker\\\", \\\"name\\\": \\\"Robert McDonald\\\"}, {\\\"credit_id\\\": \\\"59904571925141670b02c572\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 0, \\\"id\\\": 1868867, \\\"job\\\": \\\"Propmaker\\\", \\\"name\\\": \\\"Robert Prchal\\\"}, {\\\"credit_id\\\": \\\"599045da925141673902a9d7\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 0, \\\"id\\\": 1868868, \\\"job\\\": \\\"Propmaker\\\", \\\"name\\\": \\\"Hal Schlax\\\"}, {\\\"credit_id\\\": \\\"59904c34925141675f02b8bc\\\", \\\"department\\\": \\\"Crew\\\", \\\"gender\\\": 2, \\\"id\\\": 1868877, \\\"job\\\": \\\"Stunt Coordinator\\\", \\\"name\\\": \\\"John Molo\\\"}, {\\\"credit_id\\\": \\\"59904cac925141673e02d7a8\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868878, \\\"job\\\": \\\"Camera Operator\\\", \\\"name\\\": \\\"Todd Dos Reis\\\"}, {\\\"credit_id\\\": \\\"59904d04925141676602ba9a\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868879, \\\"job\\\": \\\"Dolly Grip\\\", \\\"name\\\": \\\"Jason D. Hodges\\\"}, {\\\"credit_id\\\": \\\"59904d3bc3a36874b402a4b0\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868880, \\\"job\\\": \\\"Key Grip\\\", \\\"name\\\": \\\"Mike Hodges\\\"}, {\\\"credit_id\\\": \\\"59904df0925141672302c7da\\\", \\\"department\\\": \\\"Lighting\\\", \\\"gender\\\": 0, \\\"id\\\": 1868881, \\\"job\\\": \\\"Gaffer\\\", \\\"name\\\": \\\"Kal Manning\\\"}, {\\\"credit_id\\\": \\\"59904ede925141675f02bbe6\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868889, \\\"job\\\": \\\"Dolly Grip\\\", \\\"name\\\": \\\"Larry McCarron\\\"}, {\\\"credit_id\\\": \\\"59905109925141673e02dcde\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 0, \\\"id\\\": 1868892, \\\"job\\\": \\\"Music Editor\\\", \\\"name\\\": \\\"Kim Strand\\\"}]\",\n          \"[{\\\"credit_id\\\": \\\"535c348b0e0a264fe1001e9f\\\", \\\"department\\\": \\\"Directing\\\", \\\"gender\\\": 0, \\\"id\\\": 1314011, \\\"job\\\": \\\"Director\\\", \\\"name\\\": \\\"Nathan Smith Jones\\\"}]\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import ast\n",
        "ast.literal_eval('[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"name\": \"Fantasy\"}, {\"id\": 878, \"name\": \"Science Fiction\"}]')"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-19T13:07:21.572154Z",
          "iopub.execute_input": "2021-06-19T13:07:21.572473Z",
          "iopub.status.idle": "2021-06-19T13:07:21.578686Z",
          "shell.execute_reply.started": "2021-06-19T13:07:21.572446Z",
          "shell.execute_reply": "2021-06-19T13:07:21.577661Z"
        },
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "o-Wp92chWaGL",
        "outputId": "52daccf9-7361-48f2-9cea-6c32fadc12ff"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[{'id': 28, 'name': 'Action'},\n",
              " {'id': 12, 'name': 'Adventure'},\n",
              " {'id': 14, 'name': 'Fantasy'},\n",
              " {'id': 878, 'name': 'Science Fiction'}]"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def convert3(text):\n",
        "    L = []\n",
        "    counter = 0\n",
        "    for i in ast.literal_eval(text):\n",
        "        if counter < 3:\n",
        "            L.append(i['name'])\n",
        "        counter+=1\n",
        "    return L"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:36:59.510859Z",
          "iopub.execute_input": "2021-06-21T12:36:59.511226Z",
          "iopub.status.idle": "2021-06-21T12:36:59.517043Z",
          "shell.execute_reply.started": "2021-06-21T12:36:59.511192Z",
          "shell.execute_reply": "2021-06-21T12:36:59.515878Z"
        },
        "trusted": true,
        "id": "ESscLPcKWaGL"
      },
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "movies['cast'] = movies['cast'].apply(convert)\n",
        "movies.head()"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:37:00.828661Z",
          "iopub.execute_input": "2021-06-21T12:37:00.829409Z",
          "iopub.status.idle": "2021-06-21T12:37:04.117090Z",
          "shell.execute_reply.started": "2021-06-21T12:37:00.829355Z",
          "shell.execute_reply": "2021-06-21T12:37:04.115822Z"
        },
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 293
        },
        "id": "RzThtcOFWaGM",
        "outputId": "c7d61bf2-0c79-4cdd-8f99-57b1ef71ba55"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   movie_id                                     title  \\\n",
              "0     19995                                    Avatar   \n",
              "1       285  Pirates of the Caribbean: At World's End   \n",
              "2    206647                                   Spectre   \n",
              "3     49026                     The Dark Knight Rises   \n",
              "4     49529                               John Carter   \n",
              "\n",
              "                                            overview  \\\n",
              "0  In the 22nd century, a paraplegic Marine is di...   \n",
              "1  Captain Barbossa, long believed to be dead, ha...   \n",
              "2  A cryptic message from Bond’s past sends him o...   \n",
              "3  Following the death of District Attorney Harve...   \n",
              "4  John Carter is a war-weary, former military ca...   \n",
              "\n",
              "                                          genres  \\\n",
              "0  [Action, Adventure, Fantasy, Science Fiction]   \n",
              "1                   [Adventure, Fantasy, Action]   \n",
              "2                     [Action, Adventure, Crime]   \n",
              "3               [Action, Crime, Drama, Thriller]   \n",
              "4           [Action, Adventure, Science Fiction]   \n",
              "\n",
              "                                            keywords  \\\n",
              "0  [culture clash, future, space war, space colon...   \n",
              "1  [ocean, drug abuse, exotic island, east india ...   \n",
              "2  [spy, based on novel, secret agent, sequel, mi...   \n",
              "3  [dc comics, crime fighter, terrorist, secret i...   \n",
              "4  [based on novel, mars, medallion, space travel...   \n",
              "\n",
              "                                                cast  \\\n",
              "0  [Sam Worthington, Zoe Saldana, Sigourney Weave...   \n",
              "1  [Johnny Depp, Orlando Bloom, Keira Knightley, ...   \n",
              "2  [Daniel Craig, Christoph Waltz, Léa Seydoux, R...   \n",
              "3  [Christian Bale, Michael Caine, Gary Oldman, A...   \n",
              "4  [Taylor Kitsch, Lynn Collins, Samantha Morton,...   \n",
              "\n",
              "                                                crew  \n",
              "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  \n",
              "1  [{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...  \n",
              "2  [{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...  \n",
              "3  [{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...  \n",
              "4  [{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-f9137dca-3c54-4f80-87c0-2cc9c54f62be\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>movie_id</th>\n",
              "      <th>title</th>\n",
              "      <th>overview</th>\n",
              "      <th>genres</th>\n",
              "      <th>keywords</th>\n",
              "      <th>cast</th>\n",
              "      <th>crew</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>19995</td>\n",
              "      <td>Avatar</td>\n",
              "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
              "      <td>[Action, Adventure, Fantasy, Science Fiction]</td>\n",
              "      <td>[culture clash, future, space war, space colon...</td>\n",
              "      <td>[Sam Worthington, Zoe Saldana, Sigourney Weave...</td>\n",
              "      <td>[{\"credit_id\": \"52fe48009251416c750aca23\", \"de...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>285</td>\n",
              "      <td>Pirates of the Caribbean: At World's End</td>\n",
              "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
              "      <td>[Adventure, Fantasy, Action]</td>\n",
              "      <td>[ocean, drug abuse, exotic island, east india ...</td>\n",
              "      <td>[Johnny Depp, Orlando Bloom, Keira Knightley, ...</td>\n",
              "      <td>[{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>206647</td>\n",
              "      <td>Spectre</td>\n",
              "      <td>A cryptic message from Bond’s past sends him o...</td>\n",
              "      <td>[Action, Adventure, Crime]</td>\n",
              "      <td>[spy, based on novel, secret agent, sequel, mi...</td>\n",
              "      <td>[Daniel Craig, Christoph Waltz, Léa Seydoux, R...</td>\n",
              "      <td>[{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>49026</td>\n",
              "      <td>The Dark Knight Rises</td>\n",
              "      <td>Following the death of District Attorney Harve...</td>\n",
              "      <td>[Action, Crime, Drama, Thriller]</td>\n",
              "      <td>[dc comics, crime fighter, terrorist, secret i...</td>\n",
              "      <td>[Christian Bale, Michael Caine, Gary Oldman, A...</td>\n",
              "      <td>[{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>49529</td>\n",
              "      <td>John Carter</td>\n",
              "      <td>John Carter is a war-weary, former military ca...</td>\n",
              "      <td>[Action, Adventure, Science Fiction]</td>\n",
              "      <td>[based on novel, mars, medallion, space travel...</td>\n",
              "      <td>[Taylor Kitsch, Lynn Collins, Samantha Morton,...</td>\n",
              "      <td>[{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...</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-f9137dca-3c54-4f80-87c0-2cc9c54f62be')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
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              "  </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-f9137dca-3c54-4f80-87c0-2cc9c54f62be 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-f9137dca-3c54-4f80-87c0-2cc9c54f62be');\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-b36cb1bb-c955-44cb-bb57-d3803cccea09\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-b36cb1bb-c955-44cb-bb57-d3803cccea09')\"\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",
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              "    </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",
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              "      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",
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              "      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-b36cb1bb-c955-44cb-bb57-d3803cccea09 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "movies",
              "summary": "{\n  \"name\": \"movies\",\n  \"rows\": 4806,\n  \"fields\": [\n    {\n      \"column\": \"movie_id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 88309,\n        \"min\": 5,\n        \"max\": 447027,\n        \"num_unique_values\": 4800,\n        \"samples\": [\n          8427,\n          9555,\n          10029\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4797,\n        \"samples\": [\n          \"Two Brothers\",\n          \"From Paris with Love\",\n          \"Walk the Line\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"overview\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4800,\n        \"samples\": [\n          \"When the Switchblade, the most sophisticated prototype stealth fighter created yet, is stolen from the U.S. government, one of the United States' top spies, Alex Scott, is called to action. What he doesn't expect is to get teamed up with a cocky civilian, World Class Boxing Champion Kelly Robinson, on a dangerous top secret espionage mission. Their assignment: using equal parts skill and humor, catch Arnold Gundars, one of the world's most successful arms dealers.\",\n          \"In 1931, three aboriginal girls escape after being plucked from their homes to be trained as domestic staff and set off on a trek across the Outback.\",\n          \"Kyle Fisher has one last night to celebrate life as a single man before marrying Laura, so he sets out to Vegas with four of his best buddies. But a drug and alcohol filled night on the town with a stripper who goes all the way, turns into a cold night in the desert with shovels when the stripper goes all the way into a body bag after dying in their bathroom. And that's just the first of the bodies to pile up before Kyle can walk down the aisle...\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"genres\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"keywords\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cast\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"crew\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4773,\n        \"samples\": [\n          \"[{\\\"credit_id\\\": \\\"538d82720e0a26670e005e83\\\", \\\"department\\\": \\\"Editing\\\", \\\"gender\\\": 2, 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Hodges\\\"}, {\\\"credit_id\\\": \\\"59904d3bc3a36874b402a4b0\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868880, \\\"job\\\": \\\"Key Grip\\\", \\\"name\\\": \\\"Mike Hodges\\\"}, {\\\"credit_id\\\": \\\"59904df0925141672302c7da\\\", \\\"department\\\": \\\"Lighting\\\", \\\"gender\\\": 0, \\\"id\\\": 1868881, \\\"job\\\": \\\"Gaffer\\\", \\\"name\\\": \\\"Kal Manning\\\"}, {\\\"credit_id\\\": \\\"59904ede925141675f02bbe6\\\", \\\"department\\\": \\\"Camera\\\", \\\"gender\\\": 0, \\\"id\\\": 1868889, \\\"job\\\": \\\"Dolly Grip\\\", \\\"name\\\": \\\"Larry McCarron\\\"}, {\\\"credit_id\\\": \\\"59905109925141673e02dcde\\\", \\\"department\\\": \\\"Sound\\\", \\\"gender\\\": 0, \\\"id\\\": 1868892, \\\"job\\\": \\\"Music Editor\\\", \\\"name\\\": \\\"Kim Strand\\\"}]\",\n          \"[{\\\"credit_id\\\": \\\"535c348b0e0a264fe1001e9f\\\", \\\"department\\\": \\\"Directing\\\", \\\"gender\\\": 0, \\\"id\\\": 1314011, \\\"job\\\": \\\"Director\\\", \\\"name\\\": \\\"Nathan Smith Jones\\\"}]\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "movies['cast'] = movies['cast'].apply(lambda x:x[0:3])"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:37:07.352464Z",
          "iopub.execute_input": "2021-06-21T12:37:07.352886Z",
          "iopub.status.idle": "2021-06-21T12:37:07.367808Z",
          "shell.execute_reply.started": "2021-06-21T12:37:07.352854Z",
          "shell.execute_reply": "2021-06-21T12:37:07.366250Z"
        },
        "trusted": true,
        "id": "Axu8cRzVWaGM"
      },
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def fetch_director(text):\n",
        "    L = []\n",
        "    for i in ast.literal_eval(text):\n",
        "        if i['job'] == 'Director':\n",
        "            L.append(i['name'])\n",
        "    return L"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:37:09.762909Z",
          "iopub.execute_input": "2021-06-21T12:37:09.763317Z",
          "iopub.status.idle": "2021-06-21T12:37:09.770917Z",
          "shell.execute_reply.started": "2021-06-21T12:37:09.763278Z",
          "shell.execute_reply": "2021-06-21T12:37:09.770002Z"
        },
        "trusted": true,
        "id": "ZxXE83VZWaGM"
      },
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "movies['crew'] = movies['crew'].apply(fetch_director)"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:37:12.189921Z",
          "iopub.execute_input": "2021-06-21T12:37:12.190468Z",
          "iopub.status.idle": "2021-06-21T12:37:15.825662Z",
          "shell.execute_reply.started": "2021-06-21T12:37:12.190407Z",
          "shell.execute_reply": "2021-06-21T12:37:15.824562Z"
        },
        "trusted": true,
        "id": "9cGjnFRQWaGM"
      },
      "execution_count": 24,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#movies['overview'] = movies['overview'].apply(lambda x:x.split())\n",
        "movies.sample(5)"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:34:54.994397Z",
          "iopub.execute_input": "2021-06-21T12:34:54.994779Z",
          "iopub.status.idle": "2021-06-21T12:34:55.019276Z",
          "shell.execute_reply.started": "2021-06-21T12:34:54.994738Z",
          "shell.execute_reply": "2021-06-21T12:34:55.017718Z"
        },
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 293
        },
        "id": "zgNYxL8sWaGM",
        "outputId": "ba74aea7-e2f7-4437-e0f0-bdb6ba05b0c9"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      movie_id                  title  \\\n",
              "1518        59  A History of Violence   \n",
              "1699     11249         Seed of Chucky   \n",
              "662        550             Fight Club   \n",
              "470      12159   What Dreams May Come   \n",
              "2224     11835         Death Sentence   \n",
              "\n",
              "                                               overview  \\\n",
              "1518  An average family is thrust into the spotlight...   \n",
              "1699  The killer doll is back! The all-new film is t...   \n",
              "662   A ticking-time-bomb insomniac and a slippery s...   \n",
              "470   Chris Neilson dies to find himself in a heaven...   \n",
              "2224  Nick Hume is a mild-mannered executive with a ...   \n",
              "\n",
              "                                genres  \\\n",
              "1518          [Drama, Thriller, Crime]   \n",
              "1699           [Drama, Horror, Comedy]   \n",
              "662                            [Drama]   \n",
              "470          [Drama, Fantasy, Romance]   \n",
              "2224  [Action, Crime, Drama, Thriller]   \n",
              "\n",
              "                                               keywords  \\\n",
              "1518  [robbery, double life, dual identity, small to...   \n",
              "1699  [baby, puppet, filmdreh, murder, killer doll, ...   \n",
              "662   [support group, dual identity, nihilism, rage ...   \n",
              "470   [paradise, soul, underworld, heaven, painting,...   \n",
              "2224  [loss of son, repayment, revenge, murder, gang...   \n",
              "\n",
              "                                                   cast                crew  \n",
              "1518        [Viggo Mortensen, Maria Bello, Heidi Hayes]  [David Cronenberg]  \n",
              "1699          [Brad Dourif, Jennifer Tilly, Billy Boyd]       [Don Mancini]  \n",
              "662               [Edward Norton, Brad Pitt, Meat Loaf]     [David Fincher]  \n",
              "470   [Robin Williams, Cuba Gooding Jr., Annabella S...      [Vincent Ward]  \n",
              "2224      [Kevin Bacon, Garrett Hedlund, Kelly Preston]         [James Wan]  "
            ],
            "text/html": [
              "\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>movie_id</th>\n",
              "      <th>title</th>\n",
              "      <th>overview</th>\n",
              "      <th>genres</th>\n",
              "      <th>keywords</th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1518</th>\n",
              "      <td>59</td>\n",
              "      <td>A History of Violence</td>\n",
              "      <td>An average family is thrust into the spotlight...</td>\n",
              "      <td>[Drama, Thriller, Crime]</td>\n",
              "      <td>[robbery, double life, dual identity, small to...</td>\n",
              "      <td>[Viggo Mortensen, Maria Bello, Heidi Hayes]</td>\n",
              "      <td>[David Cronenberg]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1699</th>\n",
              "      <td>11249</td>\n",
              "      <td>Seed of Chucky</td>\n",
              "      <td>The killer doll is back! The all-new film is t...</td>\n",
              "      <td>[Drama, Horror, Comedy]</td>\n",
              "      <td>[baby, puppet, filmdreh, murder, killer doll, ...</td>\n",
              "      <td>[Brad Dourif, Jennifer Tilly, Billy Boyd]</td>\n",
              "      <td>[Don Mancini]</td>\n",
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              "    <tr>\n",
              "      <th>662</th>\n",
              "      <td>550</td>\n",
              "      <td>Fight Club</td>\n",
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              "      <td>[Drama]</td>\n",
              "      <td>[support group, dual identity, nihilism, rage ...</td>\n",
              "      <td>[Edward Norton, Brad Pitt, Meat Loaf]</td>\n",
              "      <td>[David Fincher]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>470</th>\n",
              "      <td>12159</td>\n",
              "      <td>What Dreams May Come</td>\n",
              "      <td>Chris Neilson dies to find himself in a heaven...</td>\n",
              "      <td>[Drama, Fantasy, Romance]</td>\n",
              "      <td>[paradise, soul, underworld, heaven, painting,...</td>\n",
              "      <td>[Robin Williams, Cuba Gooding Jr., Annabella S...</td>\n",
              "      <td>[Vincent Ward]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2224</th>\n",
              "      <td>11835</td>\n",
              "      <td>Death Sentence</td>\n",
              "      <td>Nick Hume is a mild-mannered executive with a ...</td>\n",
              "      <td>[Action, Crime, Drama, Thriller]</td>\n",
              "      <td>[loss of son, repayment, revenge, murder, gang...</td>\n",
              "      <td>[Kevin Bacon, Garrett Hedlund, Kelly Preston]</td>\n",
              "      <td>[James Wan]</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
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              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "  </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-d9b33cf3-49f9-4e41-8385-a5c8e4601f1a 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-d9b33cf3-49f9-4e41-8385-a5c8e4601f1a');\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",
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              "\n",
              "\n",
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              "            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",
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              "    </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",
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              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
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              "    display: none;\n",
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              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
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              "    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",
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              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
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              "    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",
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              "    }\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-a6f8fe07-e1a5-41d1-b10f-54e1fc22906f button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"movies\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"movie_id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 6278,\n        \"min\": 59,\n        \"max\": 12159,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          11249,\n          11835,\n          550\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"Seed of Chucky\",\n          \"Death Sentence\",\n          \"Fight Club\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"overview\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"The killer doll is back! The all-new film is the fifth in the popular series of Chucky (\\\"Child's Play\\\") horror comedies. Making his directorial debut is the franchise creator and writer of all five films, Don Mancini. The film introduces Glen (voiced by \\\"The Lord of the Rings\\\" star Billy Boyd), the orphan doll offspring of the irrepressible devilish-doll-come-to-life Chucky (again voiced by series\",\n          \"Nick Hume is a mild-mannered executive with a perfect life, until one gruesome night he witnesses something that changes him forever. Transformed by grief, Hume eventually comes to the disturbing conclusion that no length is too great when protecting his family.\",\n          \"A ticking-time-bomb insomniac and a slippery soap salesman channel primal male aggression into a shocking new form of therapy. Their concept catches on, with underground \\\"fight clubs\\\" forming in every town, until an eccentric gets in the way and ignites an out-of-control spiral toward oblivion.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"genres\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"keywords\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cast\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"crew\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def collapse(L):\n",
        "    L1 = []\n",
        "    for i in L:\n",
        "        L1.append(i.replace(\" \",\"\"))\n",
        "    return L1"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:37:20.072749Z",
          "iopub.execute_input": "2021-06-21T12:37:20.073320Z",
          "iopub.status.idle": "2021-06-21T12:37:20.079118Z",
          "shell.execute_reply.started": "2021-06-21T12:37:20.073270Z",
          "shell.execute_reply": "2021-06-21T12:37:20.077997Z"
        },
        "trusted": true,
        "id": "FA88zFA_WaGM"
      },
      "execution_count": 26,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "movies['cast'] = movies['cast'].apply(collapse)\n",
        "movies['crew'] = movies['crew'].apply(collapse)\n",
        "movies['genres'] = movies['genres'].apply(collapse)\n",
        "movies['keywords'] = movies['keywords'].apply(collapse)"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:37:21.282768Z",
          "iopub.execute_input": "2021-06-21T12:37:21.283329Z",
          "iopub.status.idle": "2021-06-21T12:37:21.486755Z",
          "shell.execute_reply.started": "2021-06-21T12:37:21.283292Z",
          "shell.execute_reply": "2021-06-21T12:37:21.485878Z"
        },
        "trusted": true,
        "id": "HgBVlgIWWaGM"
      },
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "movies.head()"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:35:23.278025Z",
          "iopub.execute_input": "2021-06-21T12:35:23.278589Z",
          "iopub.status.idle": "2021-06-21T12:35:23.311346Z",
          "shell.execute_reply.started": "2021-06-21T12:35:23.278539Z",
          "shell.execute_reply": "2021-06-21T12:35:23.309971Z"
        },
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 293
        },
        "id": "BO_osU8YWaGM",
        "outputId": "84b56a94-b195-4196-b007-d7562f5eadcc"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   movie_id                                     title  \\\n",
              "0     19995                                    Avatar   \n",
              "1       285  Pirates of the Caribbean: At World's End   \n",
              "2    206647                                   Spectre   \n",
              "3     49026                     The Dark Knight Rises   \n",
              "4     49529                               John Carter   \n",
              "\n",
              "                                            overview  \\\n",
              "0  In the 22nd century, a paraplegic Marine is di...   \n",
              "1  Captain Barbossa, long believed to be dead, ha...   \n",
              "2  A cryptic message from Bond’s past sends him o...   \n",
              "3  Following the death of District Attorney Harve...   \n",
              "4  John Carter is a war-weary, former military ca...   \n",
              "\n",
              "                                         genres  \\\n",
              "0  [Action, Adventure, Fantasy, ScienceFiction]   \n",
              "1                  [Adventure, Fantasy, Action]   \n",
              "2                    [Action, Adventure, Crime]   \n",
              "3              [Action, Crime, Drama, Thriller]   \n",
              "4           [Action, Adventure, ScienceFiction]   \n",
              "\n",
              "                                            keywords  \\\n",
              "0  [cultureclash, future, spacewar, spacecolony, ...   \n",
              "1  [ocean, drugabuse, exoticisland, eastindiatrad...   \n",
              "2  [spy, basedonnovel, secretagent, sequel, mi6, ...   \n",
              "3  [dccomics, crimefighter, terrorist, secretiden...   \n",
              "4  [basedonnovel, mars, medallion, spacetravel, p...   \n",
              "\n",
              "                                            cast                crew  \n",
              "0  [SamWorthington, ZoeSaldana, SigourneyWeaver]      [JamesCameron]  \n",
              "1     [JohnnyDepp, OrlandoBloom, KeiraKnightley]     [GoreVerbinski]  \n",
              "2      [DanielCraig, ChristophWaltz, LéaSeydoux]         [SamMendes]  \n",
              "3      [ChristianBale, MichaelCaine, GaryOldman]  [ChristopherNolan]  \n",
              "4    [TaylorKitsch, LynnCollins, SamanthaMorton]     [AndrewStanton]  "
            ],
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              "      <th>3</th>\n",
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              "      <td>The Dark Knight Rises</td>\n",
              "      <td>Following the death of District Attorney Harve...</td>\n",
              "      <td>[Action, Crime, Drama, Thriller]</td>\n",
              "      <td>[dccomics, crimefighter, terrorist, secretiden...</td>\n",
              "      <td>[ChristianBale, MichaelCaine, GaryOldman]</td>\n",
              "      <td>[ChristopherNolan]</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>49529</td>\n",
              "      <td>John Carter</td>\n",
              "      <td>John Carter is a war-weary, former military ca...</td>\n",
              "      <td>[Action, Adventure, ScienceFiction]</td>\n",
              "      <td>[basedonnovel, mars, medallion, spacetravel, p...</td>\n",
              "      <td>[TaylorKitsch, LynnCollins, SamanthaMorton]</td>\n",
              "      <td>[AndrewStanton]</td>\n",
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              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "        const element = document.querySelector('#df-95bbe014-d801-465c-9b00-0e398d16364c');\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",
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              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "\n",
              "  .colab-df-quickchart {\n",
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              "    border-radius: 50%;\n",
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              "    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",
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              "    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",
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              "      border-bottom-color: var(--fill-color);\n",
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              "\n",
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              "    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-6776be21-39b9-408d-a510-67e882e7978b button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "movies",
              "summary": "{\n  \"name\": \"movies\",\n  \"rows\": 4806,\n  \"fields\": [\n    {\n      \"column\": \"movie_id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 88309,\n        \"min\": 5,\n        \"max\": 447027,\n        \"num_unique_values\": 4800,\n        \"samples\": [\n          8427,\n          9555,\n          10029\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4797,\n        \"samples\": [\n          \"Two Brothers\",\n          \"From Paris with Love\",\n          \"Walk the Line\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"overview\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4800,\n        \"samples\": [\n          \"When the Switchblade, the most sophisticated prototype stealth fighter created yet, is stolen from the U.S. government, one of the United States' top spies, Alex Scott, is called to action. What he doesn't expect is to get teamed up with a cocky civilian, World Class Boxing Champion Kelly Robinson, on a dangerous top secret espionage mission. Their assignment: using equal parts skill and humor, catch Arnold Gundars, one of the world's most successful arms dealers.\",\n          \"In 1931, three aboriginal girls escape after being plucked from their homes to be trained as domestic staff and set off on a trek across the Outback.\",\n          \"Kyle Fisher has one last night to celebrate life as a single man before marrying Laura, so he sets out to Vegas with four of his best buddies. But a drug and alcohol filled night on the town with a stripper who goes all the way, turns into a cold night in the desert with shovels when the stripper goes all the way into a body bag after dying in their bathroom. And that's just the first of the bodies to pile up before Kyle can walk down the aisle...\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"genres\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"keywords\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cast\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"crew\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "movies['overview'] = movies['overview'].apply(lambda x:x.split())"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:37:31.936003Z",
          "iopub.execute_input": "2021-06-21T12:37:31.936583Z",
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          "shell.execute_reply": "2021-06-21T12:37:31.973928Z"
        },
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        "id": "4zuqhuX_WaGM"
      },
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "movies['tags'] = movies['overview'] + movies['genres'] + movies['keywords'] + movies['cast'] + movies['crew']"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:37:34.465925Z",
          "iopub.execute_input": "2021-06-21T12:37:34.466349Z",
          "iopub.status.idle": "2021-06-21T12:37:34.572742Z",
          "shell.execute_reply.started": "2021-06-21T12:37:34.466313Z",
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        "trusted": true,
        "id": "5KwWNXK_WaGN"
      },
      "execution_count": 30,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "new = movies.drop(columns=['overview','genres','keywords','cast','crew'])\n",
        "#new.head()"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:37:40.974644Z",
          "iopub.execute_input": "2021-06-21T12:37:40.975174Z",
          "iopub.status.idle": "2021-06-21T12:37:40.981843Z",
          "shell.execute_reply.started": "2021-06-21T12:37:40.975140Z",
          "shell.execute_reply": "2021-06-21T12:37:40.981059Z"
        },
        "trusted": true,
        "id": "Aaz8jaaFWaGN"
      },
      "execution_count": 31,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "new['tags'] = new['tags'].apply(lambda x: \" \".join(x))\n",
        "new.head()"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:38:00.130879Z",
          "iopub.execute_input": "2021-06-21T12:38:00.131473Z",
          "iopub.status.idle": "2021-06-21T12:38:00.160438Z",
          "shell.execute_reply.started": "2021-06-21T12:38:00.131439Z",
          "shell.execute_reply": "2021-06-21T12:38:00.159476Z"
        },
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "kKVrNziHWaGN",
        "outputId": "e194043a-bc61-420e-bb33-3a6b77d28a84"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   movie_id                                     title  \\\n",
              "0     19995                                    Avatar   \n",
              "1       285  Pirates of the Caribbean: At World's End   \n",
              "2    206647                                   Spectre   \n",
              "3     49026                     The Dark Knight Rises   \n",
              "4     49529                               John Carter   \n",
              "\n",
              "                                                tags  \n",
              "0  In the 22nd century, a paraplegic Marine is di...  \n",
              "1  Captain Barbossa, long believed to be dead, ha...  \n",
              "2  A cryptic message from Bond’s past sends him o...  \n",
              "3  Following the death of District Attorney Harve...  \n",
              "4  John Carter is a war-weary, former military ca...  "
            ],
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              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
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              "    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",
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              "    }\n",
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              "</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",
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              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "new",
              "summary": "{\n  \"name\": \"new\",\n  \"rows\": 4806,\n  \"fields\": [\n    {\n      \"column\": \"movie_id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 88309,\n        \"min\": 5,\n        \"max\": 447027,\n        \"num_unique_values\": 4800,\n        \"samples\": [\n          8427,\n          9555,\n          10029\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4797,\n        \"samples\": [\n          \"Two Brothers\",\n          \"From Paris with Love\",\n          \"Walk the Line\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"tags\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4806,\n        \"samples\": [\n          \"An emotionally-beaten man with his young daughter moves to his ancestral home in Newfoundland to reclaim his life. Drama Romance sex adultery basedonnovel fishing isolation kidnapping newfoundland survival reporter drunk KevinSpacey JulianneMoore CateBlanchett LasseHallstr\\u00f6m\",\n          \"Special Agent Strahm is dead, and Detective Hoffman has emerged as the unchallenged successor to Jigsaw's legacy. However, when the FBI draws closer to Hoffman, he is forced to set a game into motion, and Jigsaw's grand scheme is finally understood. Horror Mystery aftercreditsstinger TobinBell CostasMandylor BetsyRussell KevinGreutert\",\n          \"Combat has taken its toll on Rambo, but he's finally begun to find inner peace in a monastery. When Rambo's friend and mentor Col. Trautman asks for his help on a top secret mission to Afghanistan, Rambo declines but must reconsider when Trautman is captured. Action Adventure Thriller War competition submachinegun sovietunion liberation russian soviettroops thailand freedomfighter afghanistan waronfreedom machinegun mujahid realityshow western japanesefood soapopera SylvesterStallone RichardCrenna KurtwoodSmith PeterMacDonald\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.feature_extraction.text import CountVectorizer\n",
        "cv = CountVectorizer(max_features=5000,stop_words='english')\n",
        ""
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:38:06.544599Z",
          "iopub.execute_input": "2021-06-21T12:38:06.545110Z",
          "iopub.status.idle": "2021-06-21T12:38:07.488307Z",
          "shell.execute_reply.started": "2021-06-21T12:38:06.545079Z",
          "shell.execute_reply": "2021-06-21T12:38:07.487238Z"
        },
        "trusted": true,
        "id": "W_mZPOc2WaGN"
      },
      "execution_count": 33,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "vector = cv.fit_transform(new['tags']).toarray()"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:38:10.163889Z",
          "iopub.execute_input": "2021-06-21T12:38:10.164314Z",
          "iopub.status.idle": "2021-06-21T12:38:10.821200Z",
          "shell.execute_reply.started": "2021-06-21T12:38:10.164279Z",
          "shell.execute_reply": "2021-06-21T12:38:10.820175Z"
        },
        "trusted": true,
        "id": "aAb8Hk_LWaGN"
      },
      "execution_count": 34,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "vector.shape"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-19T14:00:41.894223Z",
          "iopub.execute_input": "2021-06-19T14:00:41.894747Z",
          "iopub.status.idle": "2021-06-19T14:00:41.900786Z",
          "shell.execute_reply.started": "2021-06-19T14:00:41.894699Z",
          "shell.execute_reply": "2021-06-19T14:00:41.899989Z"
        },
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "y6OVA9SOWaGN",
        "outputId": "8a2719e3-7d45-4057-cabb-1a87a4de9ca4"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(4806, 5000)"
            ]
          },
          "metadata": {},
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics.pairwise import cosine_similarity"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:38:13.339041Z",
          "iopub.execute_input": "2021-06-21T12:38:13.339451Z",
          "iopub.status.idle": "2021-06-21T12:38:13.390575Z",
          "shell.execute_reply.started": "2021-06-21T12:38:13.339412Z",
          "shell.execute_reply": "2021-06-21T12:38:13.389373Z"
        },
        "trusted": true,
        "id": "2mUcmO9XWaGN"
      },
      "execution_count": 36,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "similarity = cosine_similarity(vector)"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:38:15.769495Z",
          "iopub.execute_input": "2021-06-21T12:38:15.770001Z",
          "iopub.status.idle": "2021-06-21T12:38:18.170463Z",
          "shell.execute_reply.started": "2021-06-21T12:38:15.769960Z",
          "shell.execute_reply": "2021-06-21T12:38:18.169319Z"
        },
        "trusted": true,
        "id": "UXSeN_t0WaGN"
      },
      "execution_count": 37,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "similarity"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-19T14:06:45.472777Z",
          "iopub.execute_input": "2021-06-19T14:06:45.473087Z",
          "iopub.status.idle": "2021-06-19T14:06:45.479647Z",
          "shell.execute_reply.started": "2021-06-19T14:06:45.473061Z",
          "shell.execute_reply": "2021-06-19T14:06:45.478831Z"
        },
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "aLbtl9loWaGN",
        "outputId": "3827de3b-0712-4b9d-f4c2-acd12f99ee07"
      },
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[1.        , 0.08964215, 0.06071767, ..., 0.02519763, 0.0277885 ,\n",
              "        0.        ],\n",
              "       [0.08964215, 1.        , 0.06350006, ..., 0.02635231, 0.        ,\n",
              "        0.        ],\n",
              "       [0.06071767, 0.06350006, 1.        , ..., 0.02677398, 0.        ,\n",
              "        0.        ],\n",
              "       ...,\n",
              "       [0.02519763, 0.02635231, 0.02677398, ..., 1.        , 0.07352146,\n",
              "        0.04774099],\n",
              "       [0.0277885 , 0.        , 0.        , ..., 0.07352146, 1.        ,\n",
              "        0.05264981],\n",
              "       [0.        , 0.        , 0.        , ..., 0.04774099, 0.05264981,\n",
              "        1.        ]])"
            ]
          },
          "metadata": {},
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "new[new['title'] == 'The Lego Movie'].index[0]"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-19T14:08:46.7159Z",
          "iopub.execute_input": "2021-06-19T14:08:46.716222Z",
          "iopub.status.idle": "2021-06-19T14:08:46.7239Z",
          "shell.execute_reply.started": "2021-06-19T14:08:46.716196Z",
          "shell.execute_reply": "2021-06-19T14:08:46.722946Z"
        },
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "deJMK6reWaGN",
        "outputId": "873b86a3-1eb3-4dd1-ef9e-9f15590bfdd8"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "744"
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def recommend(movie):\n",
        "    index = new[new['title'] == movie].index[0]\n",
        "    distances = sorted(list(enumerate(similarity[index])),reverse=True,key = lambda x: x[1])\n",
        "    for i in distances[1:6]:\n",
        "        print(new.iloc[i[0]].title)\n",
        "\n",
        ""
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:38:22.542487Z",
          "iopub.execute_input": "2021-06-21T12:38:22.542900Z",
          "iopub.status.idle": "2021-06-21T12:38:22.549786Z",
          "shell.execute_reply.started": "2021-06-21T12:38:22.542867Z",
          "shell.execute_reply": "2021-06-21T12:38:22.548271Z"
        },
        "trusted": true,
        "id": "Ac1zKeWcWaGO"
      },
      "execution_count": 40,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "recommend('Gandhi')"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:38:24.914258Z",
          "iopub.execute_input": "2021-06-21T12:38:24.914650Z",
          "iopub.status.idle": "2021-06-21T12:38:24.930018Z",
          "shell.execute_reply.started": "2021-06-21T12:38:24.914616Z",
          "shell.execute_reply": "2021-06-21T12:38:24.928876Z"
        },
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "8bNb5INyWaGO",
        "outputId": "2cdb01b2-eb2b-4529-8dd5-fab6320c43fc"
      },
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Gandhi, My Father\n",
            "The Wind That Shakes the Barley\n",
            "A Passage to India\n",
            "Guiana 1838\n",
            "Ramanujan\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pickle"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:39:59.606475Z",
          "iopub.execute_input": "2021-06-21T12:39:59.606924Z",
          "iopub.status.idle": "2021-06-21T12:39:59.612177Z",
          "shell.execute_reply.started": "2021-06-21T12:39:59.606890Z",
          "shell.execute_reply": "2021-06-21T12:39:59.610858Z"
        },
        "trusted": true,
        "id": "EZ7vxfkmWaGO"
      },
      "execution_count": 42,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pickle.dump(new,open('movie_list.pkl','wb'))\n",
        "pickle.dump(similarity,open('similarity.pkl','wb'))"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2021-06-21T12:40:53.373186Z",
          "iopub.execute_input": "2021-06-21T12:40:53.373581Z",
          "iopub.status.idle": "2021-06-21T12:40:53.784869Z",
          "shell.execute_reply.started": "2021-06-21T12:40:53.373547Z",
          "shell.execute_reply": "2021-06-21T12:40:53.783635Z"
        },
        "trusted": true,
        "id": "1-OdmyW3WaGO"
      },
      "execution_count": 43,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "new_movies = pd.read_csv('/content/drive/MyDrive/Colab Notebooks/Datasets/tmdb_5000_movies.csv')"
      ],
      "metadata": {
        "id": "R3U2T-54zmpW"
      },
      "execution_count": 57,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "new_movies.count()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "HVpVfsYK8wLM",
        "outputId": "0848a442-b4c6-4204-984d-f54c4dbc1de8"
      },
      "execution_count": 142,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "budget                  4803\n",
              "genres                  4803\n",
              "homepage                1712\n",
              "id                      4803\n",
              "keywords                4803\n",
              "original_language       4803\n",
              "original_title          4803\n",
              "overview                4800\n",
              "popularity              4803\n",
              "production_companies    4803\n",
              "production_countries    4803\n",
              "release_date            4802\n",
              "revenue                 4803\n",
              "runtime                 4801\n",
              "spoken_languages        4803\n",
              "status                  4803\n",
              "tagline                 3959\n",
              "title                   4803\n",
              "vote_average            4803\n",
              "vote_count              4803\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 142
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ratings = pd.read_csv('/content/drive/MyDrive/Colab Notebooks/Datasets/ratings_small.csv')"
      ],
      "metadata": {
        "id": "tN_vQ2qLWaGO"
      },
      "execution_count": 44,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "links = pd.read_csv('/content/drive/MyDrive/Colab Notebooks/Datasets/links_small.csv')"
      ],
      "metadata": {
        "id": "z19dZY5vuJG_"
      },
      "execution_count": 45,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "ratings.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "rVob9mfBuPnR",
        "outputId": "0324589c-2646-414e-c021-869e8cf0ce77"
      },
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['userId', 'movieId', 'rating', 'timestamp'], dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "links.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "nvcImeqmuU3n",
        "outputId": "069e52a5-aef8-4472-b3c4-35b4afb048e9"
      },
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['movieId', 'imdbId', 'tmdbId'], dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 47
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "merged = ratings.merge(links, on='movieId')"
      ],
      "metadata": {
        "id": "XEW5HFbduhrW"
      },
      "execution_count": 48,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "merged.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "DAzrZ_8vupD9",
        "outputId": "64fa13f5-3755-4bf2-e3dd-5e24f0169be1"
      },
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['userId', 'movieId', 'rating', 'timestamp', 'imdbId', 'tmdbId'], dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 49
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "new_ratings = merged[merged['tmdbId'].isin(new_movies['id'])]"
      ],
      "metadata": {
        "id": "FAOWHZgevyJt"
      },
      "execution_count": 189,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "new_ratings.head(10)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 363
        },
        "id": "GgUB7VE0x_Bz",
        "outputId": "38d44b6d-98c4-4435-c3cf-ed1223bfe78f"
      },
      "execution_count": 190,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    userId  movieId  rating   timestamp  imdbId  tmdbId\n",
              "84       1     1061     3.0  1260759182  117665   819.0\n",
              "85      19     1061     3.0   855190382  117665   819.0\n",
              "86      23     1061     3.5  1148673456  117665   819.0\n",
              "87      30     1061     3.0   946162006  117665   819.0\n",
              "88      70     1061     5.0   853955020  117665   819.0\n",
              "89      73     1061     4.0  1255947496  117665   819.0\n",
              "90      90     1061     4.0   875517306  117665   819.0\n",
              "91     102     1061     2.0   957894450  117665   819.0\n",
              "92     105     1061     4.0  1085579876  117665   819.0\n",
              "93     119     1061     4.0   952583272  117665   819.0"
            ],
            "text/html": [
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              "  <thead>\n",
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              "      <th></th>\n",
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              "      <th>timestamp</th>\n",
              "      <th>imdbId</th>\n",
              "      <th>tmdbId</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>84</th>\n",
              "      <td>1</td>\n",
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              "      <td>855190382</td>\n",
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              "      <th>92</th>\n",
              "      <td>105</td>\n",
              "      <td>1061</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1085579876</td>\n",
              "      <td>117665</td>\n",
              "      <td>819.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>93</th>\n",
              "      <td>119</td>\n",
              "      <td>1061</td>\n",
              "      <td>4.0</td>\n",
              "      <td>952583272</td>\n",
              "      <td>117665</td>\n",
              "      <td>819.0</td>\n",
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              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
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              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2cb5a020-fc42-4adc-9aca-0a61dc3944ee')\"\n",
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              "            style=\"display:none;\">\n",
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              "  </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",
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              "      fill: #1967D2;\n",
              "      height: 32px;\n",
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              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
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              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "    }\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-2cb5a020-fc42-4adc-9aca-0a61dc3944ee 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-2cb5a020-fc42-4adc-9aca-0a61dc3944ee');\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-9468b530-fb96-4b0b-a52f-82ada6b720cc\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-9468b530-fb96-4b0b-a52f-82ada6b720cc')\"\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-9468b530-fb96-4b0b-a52f-82ada6b720cc button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "new_ratings",
              "summary": "{\n  \"name\": \"new_ratings\",\n  \"rows\": 66947,\n  \"fields\": [\n    {\n      \"column\": \"userId\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 195,\n        \"min\": 1,\n        \"max\": 671,\n        \"num_unique_values\": 671,\n        \"samples\": [\n          109,\n          458,\n          513\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"movieId\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 27592,\n        \"min\": 1,\n        \"max\": 160565,\n        \"num_unique_values\": 3394,\n        \"samples\": [\n          1373,\n          66097,\n          135887\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rating\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.0605882742543953,\n        \"min\": 0.5,\n        \"max\": 5.0,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          1.5,\n          3.5,\n          2.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"timestamp\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 194210942,\n        \"min\": 789652009,\n        \"max\": 1476640644,\n        \"num_unique_values\": 56985,\n        \"samples\": [\n          1218956840,\n          1209040127,\n          958249590\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"imdbId\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 402441,\n        \"min\": 17136,\n        \"max\": 4438848,\n        \"num_unique_values\": 3394,\n        \"samples\": [\n          98382,\n          327597,\n          2293640\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"tmdbId\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 29928.34854235822,\n        \"min\": 5.0,\n        \"max\": 347969.0,\n        \"num_unique_values\": 3394,\n        \"samples\": [\n          172.0,\n          14836.0,\n          211672.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 190
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cf_df = merged.drop(columns=['movieId', 'timestamp', 'imdbId'])"
      ],
      "metadata": {
        "id": "L07uK9rv0Ph3"
      },
      "execution_count": 191,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "cf_df.head(5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "7AaqU07N0uEh",
        "outputId": "66e511f8-b904-4213-f518-9139b720c9d8"
      },
      "execution_count": 192,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   userId  rating  tmdbId\n",
              "0       1     2.5  9909.0\n",
              "1       7     3.0  9909.0\n",
              "2      31     4.0  9909.0\n",
              "3      32     4.0  9909.0\n",
              "4      36     3.0  9909.0"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-7360440c-42cd-480e-acb5-a19834a4bbe4\" class=\"colab-df-container\">\n",
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              "        vertical-align: middle;\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
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              "      <th>userId</th>\n",
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              "      <td>3.0</td>\n",
              "      <td>9909.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>31</td>\n",
              "      <td>4.0</td>\n",
              "      <td>9909.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>32</td>\n",
              "      <td>4.0</td>\n",
              "      <td>9909.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>36</td>\n",
              "      <td>3.0</td>\n",
              "      <td>9909.0</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-7360440c-42cd-480e-acb5-a19834a4bbe4')\"\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",
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              "  </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-7360440c-42cd-480e-acb5-a19834a4bbe4 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-7360440c-42cd-480e-acb5-a19834a4bbe4');\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-3ff9d23e-94fa-45af-a1da-d24127b15c9a\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-3ff9d23e-94fa-45af-a1da-d24127b15c9a')\"\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-3ff9d23e-94fa-45af-a1da-d24127b15c9a button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "cf_df"
            }
          },
          "metadata": {},
          "execution_count": 192
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "matrix = cf_df.pivot_table(index='userId', columns='tmdbId', values='rating')"
      ],
      "metadata": {
        "id": "5guZU6HH01CJ"
      },
      "execution_count": 193,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "matrix = matrix.fillna(0.0)"
      ],
      "metadata": {
        "id": "bDh1TYA32Qed"
      },
      "execution_count": 194,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "matrix.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "375A63aa7phY",
        "outputId": "10ea11f0-cd79-4d14-a875-0ac57d792c56"
      },
      "execution_count": 195,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(671, 9053)"
            ]
          },
          "metadata": {},
          "execution_count": 195
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "matrix.head(5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
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      "execution_count": 196,
      "outputs": [
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              "userId                                                                         \n",
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              "userId                                                                        \n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "matrix"
            }
          },
          "metadata": {},
          "execution_count": 196
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "reader = Reader(rating_scale=(1, 5))"
      ],
      "metadata": {
        "id": "t8mhfCeB2rXk"
      },
      "execution_count": 197,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data = Dataset.load_from_df(cf_df[['userId', 'tmdbId', 'rating']], reader)\n",
        "data"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "KACz8st93g_J",
        "outputId": "98224888-2159-43cd-8912-15f14efad596"
      },
      "execution_count": 198,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<surprise.dataset.DatasetAutoFolds at 0x7802aec55ba0>"
            ]
          },
          "metadata": {},
          "execution_count": 198
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "trainset, testset = train_test_split(data, test_size=.25)\n",
        "svd_model = SVD()\n",
        "svd_model.fit(trainset)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "Fu3emMzZ3rtK",
        "outputId": "64523395-82f1-409e-de82-732002ce9224"
      },
      "execution_count": 199,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<surprise.prediction_algorithms.matrix_factorization.SVD at 0x7802ae9b4850>"
            ]
          },
          "metadata": {},
          "execution_count": 199
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "predictions = svd_model.test(testset)\n",
        "\n",
        "accuracy.rmse(predictions)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "NReXN7YL3w8G",
        "outputId": "eff5fd10-9998-4052-9666-a4ca46782f8f"
      },
      "execution_count": 200,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "RMSE: 0.9025\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.9025476432711929"
            ]
          },
          "metadata": {},
          "execution_count": 200
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cross_validate(svd_model, data, measures=['RMSE', 'MAE'], cv=5, verbose=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "k1H_b1uD30rJ",
        "outputId": "5d44baab-fe2b-431c-c2fa-f706c9b213a4"
      },
      "execution_count": 201,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Evaluating RMSE, MAE of algorithm SVD on 5 split(s).\n",
            "\n",
            "                  Fold 1  Fold 2  Fold 3  Fold 4  Fold 5  Mean    Std     \n",
            "RMSE (testset)    0.8909  0.8947  0.9103  0.8913  0.9030  0.8980  0.0075  \n",
            "MAE (testset)     0.6847  0.6877  0.7008  0.6876  0.6947  0.6911  0.0059  \n",
            "Fit time          1.51    1.47    2.01    2.04    1.50    1.71    0.26    \n",
            "Test time         0.46    0.11    0.19    0.38    0.12    0.25    0.14    \n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'test_rmse': array([0.89086664, 0.89472752, 0.91032623, 0.89125461, 0.9029604 ]),\n",
              " 'test_mae': array([0.68467195, 0.68770429, 0.70084424, 0.68759515, 0.69465026]),\n",
              " 'fit_time': (1.5099482536315918,\n",
              "  1.4744951725006104,\n",
              "  2.0060319900512695,\n",
              "  2.0427260398864746,\n",
              "  1.50449538230896),\n",
              " 'test_time': (0.4572896957397461,\n",
              "  0.1139383316040039,\n",
              "  0.1935269832611084,\n",
              "  0.38115525245666504,\n",
              "  0.1162254810333252)}"
            ]
          },
          "metadata": {},
          "execution_count": 201
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "svd_model.predict(uid=1.0, iid=541, verbose=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "d1yUep3G35IN",
        "outputId": "20381dae-03ee-4707-d8b7-a001dd60ea3e"
      },
      "execution_count": 208,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "user: 1.0        item: 541        r_ui = None   est = 3.10   {'was_impossible': False}\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Prediction(uid=1.0, iid=541, r_ui=None, est=3.0999213627478457, details={'was_impossible': False})"
            ]
          },
          "metadata": {},
          "execution_count": 208
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "param_grid = {'n_epochs': [5, 10], 'lr_all': [0.002, 0.005]}\n",
        "\n",
        "gs = GridSearchCV(SVD,\n",
        "                  param_grid,\n",
        "                  measures=['rmse', 'mae'],\n",
        "                  cv=3,\n",
        "                  n_jobs=-1,\n",
        "                  joblib_verbose=True)\n",
        "\n",
        "gs.fit(data)\n",
        "gs.best_score['rmse']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "6ic4X3YU4Ijx",
        "outputId": "bd1bf8e6-51e3-4780-9d4f-e4b5549ff5a7"
      },
      "execution_count": 203,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "[Parallel(n_jobs=-1)]: Using backend LokyBackend with 2 concurrent workers.\n",
            "[Parallel(n_jobs=-1)]: Done  12 out of  12 | elapsed:    9.2s finished\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.9072212158901521"
            ]
          },
          "metadata": {},
          "execution_count": 203
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "gs.best_params['rmse']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "cG_O7BnQ4LdC",
        "outputId": "e9f6dc8a-a862-46f1-cf98-358f7f3f732f"
      },
      "execution_count": 204,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'n_epochs': 10, 'lr_all': 0.005}"
            ]
          },
          "metadata": {},
          "execution_count": 204
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "svd_model = SVD(**gs.best_params['rmse'])\n",
        "\n",
        "svd_model.fit(trainset)\n",
        "\n",
        "svd_model.predict(uid=1.0, iid=9909.0, verbose=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "ItYT5neZ4Pu8",
        "outputId": "61504cf8-1815-448a-a04a-9cced669c5d1"
      },
      "execution_count": 217,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "user: 1.0        item: 9909.0     r_ui = None   est = 2.54   {'was_impossible': False}\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Prediction(uid=1.0, iid=9909.0, r_ui=None, est=2.543751847483598, details={'was_impossible': False})"
            ]
          },
          "metadata": {},
          "execution_count": 217
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "matrix.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "CgwuwnKbByrn",
        "outputId": "4347f658-3e12-41fc-f353-8fada1e93afa"
      },
      "execution_count": 216,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(671, 9053)"
            ]
          },
          "metadata": {},
          "execution_count": 216
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "eJ_oeo9tCn8q"
      },
      "execution_count": 207,
      "outputs": []
    }
  ]
}