Movie_Recommender_System.ipynb

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    {
      "cell_type": "markdown",
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        "id": "14a8c10a"
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      "source": [
        "# Movie Recommender System"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "78d6a181",
      "metadata": {
        "id": "78d6a181"
      },
      "source": [
        "## Importing Dependencies"
      ]
    },
    {
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      "execution_count": 154,
      "id": "22d4ad91",
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        "id": "22d4ad91"
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      "source": [
        "import numpy as np\n",
        "import pandas as pd"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "be31bdaf",
      "metadata": {
        "id": "be31bdaf"
      },
      "source": [
        "## Data Preprocessing"
      ]
    },
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      "execution_count": 155,
      "id": "eba1cb05",
      "metadata": {
        "id": "eba1cb05"
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      "outputs": [],
      "source": [
        "movies = pd.read_csv('tmdb_5000_movies.csv')\n",
        "credits = pd.read_csv('tmdb_5000_credits.csv')"
      ]
    },
    {
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              "   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, Marin...   \n",
              "1  [Captain, Barbossa,, long, believed, to, be, d...   \n",
              "2  [A, cryptic, message, from, Bond’s, past, send...   \n",
              "3  [Following, the, death, of, District, Attorney...   \n",
              "4  [John, Carter, is, a, war-weary,, former, mili...   \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]   \n",
              "\n",
              "                                                tags  \n",
              "0  [In, the, 22nd, century,, a, paraplegic, Marin...  \n",
              "1  [Captain, Barbossa,, long, believed, to, be, d...  \n",
              "2  [A, cryptic, message, from, Bond’s, past, send...  \n",
              "3  [Following, the, death, of, District, Attorney...  \n",
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              "      <th>movie_id</th>\n",
              "      <th>title</th>\n",
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              "      <th>genres</th>\n",
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              "      <td>Pirates of the Caribbean: At World's End</td>\n",
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              "      <td>Spectre</td>\n",
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              "      <td>[Action, Adventure, Crime]</td>\n",
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              "      <td>[DanielCraig, ChristophWaltz, LéaSeydoux]</td>\n",
              "      <td>[SamMendes]</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...</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",
              "      <td>[Following, the, death, of, District, Attorney...</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>49529</td>\n",
              "      <td>John Carter</td>\n",
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              "      <td>[AndrewStanton]</td>\n",
              "      <td>[John, Carter, is, a, war-weary,, former, mili...</td>\n",
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      "source": [
        "movies.head()"
      ]
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              "   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",
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              "<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",
              "    </div>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\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-quickchart: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",
              "  [theme=dark] .colab-df-quickchart {\n",
              "    background-color: #3B4455;\n",
              "    fill: #D2E3FC;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart: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",
              "      async function quickchart(key) {\n",
              "        const containerElement = document.querySelector('#' + key);\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      }\n",
              "    </script>\n",
              "\n",
              "      <script>\n",
              "\n",
              "function displayQuickchartButton(domScope) {\n",
              "  let quickchartButtonEl =\n",
              "    domScope.querySelector('#df-2a33a82d-06b6-42c3-9fde-8806c303efd1 button.colab-df-quickchart');\n",
              "  quickchartButtonEl.style.display =\n",
              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "}\n",
              "\n",
              "        displayQuickchartButton(document);\n",
              "      </script>\n",
              "      <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\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",
              "    [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-25c04f6a-be75-4d4f-bb56-17972b3ee291 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-25c04f6a-be75-4d4f-bb56-17972b3ee291');\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",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 157
        }
      ],
      "source": [
        "credits.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 158,
      "id": "ac6b2f3b",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ac6b2f3b",
        "outputId": "d3533038-4e1c-494c-a530-ed4d7d96e5d8"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['[{\"cast_id\": 242, \"character\": \"Jake Sully\", \"credit_id\": \"5602a8a7c3a3685532001c9a\", \"gender\": 2, \"id\": 65731, \"name\": \"Sam Worthington\", \"order\": 0}, {\"cast_id\": 3, \"character\": \"Neytiri\", \"credit_id\": \"52fe48009251416c750ac9cb\", \"gender\": 1, \"id\": 8691, \"name\": \"Zoe Saldana\", \"order\": 1}, {\"cast_id\": 25, \"character\": \"Dr. Grace Augustine\", \"credit_id\": \"52fe48009251416c750aca39\", \"gender\": 1, \"id\": 10205, \"name\": \"Sigourney Weaver\", \"order\": 2}, {\"cast_id\": 4, \"character\": \"Col. Quaritch\", \"credit_id\": \"52fe48009251416c750ac9cf\", \"gender\": 2, \"id\": 32747, \"name\": \"Stephen Lang\", \"order\": 3}, {\"cast_id\": 5, \"character\": \"Trudy Chacon\", \"credit_id\": \"52fe48009251416c750ac9d3\", \"gender\": 1, \"id\": 17647, \"name\": \"Michelle Rodriguez\", \"order\": 4}, {\"cast_id\": 8, \"character\": \"Selfridge\", \"credit_id\": \"52fe48009251416c750ac9e1\", \"gender\": 2, \"id\": 1771, \"name\": \"Giovanni Ribisi\", \"order\": 5}, {\"cast_id\": 7, \"character\": \"Norm Spellman\", \"credit_id\": \"52fe48009251416c750ac9dd\", \"gender\": 2, \"id\": 59231, \"name\": \"Joel David Moore\", \"order\": 6}, {\"cast_id\": 9, \"character\": \"Moat\", \"credit_id\": \"52fe48009251416c750ac9e5\", \"gender\": 1, \"id\": 30485, \"name\": \"CCH Pounder\", \"order\": 7}, {\"cast_id\": 11, \"character\": \"Eytukan\", \"credit_id\": \"52fe48009251416c750ac9ed\", \"gender\": 2, \"id\": 15853, \"name\": \"Wes Studi\", \"order\": 8}, {\"cast_id\": 10, \"character\": \"Tsu\\'Tey\", \"credit_id\": \"52fe48009251416c750ac9e9\", \"gender\": 2, \"id\": 10964, \"name\": \"Laz Alonso\", \"order\": 9}, {\"cast_id\": 12, \"character\": \"Dr. Max Patel\", \"credit_id\": \"52fe48009251416c750ac9f1\", \"gender\": 2, \"id\": 95697, \"name\": \"Dileep Rao\", \"order\": 10}, {\"cast_id\": 13, \"character\": \"Lyle Wainfleet\", \"credit_id\": \"52fe48009251416c750ac9f5\", \"gender\": 2, \"id\": 98215, \"name\": \"Matt Gerald\", \"order\": 11}, {\"cast_id\": 32, \"character\": \"Private Fike\", \"credit_id\": \"52fe48009251416c750aca5b\", \"gender\": 2, \"id\": 154153, \"name\": \"Sean Anthony Moran\", \"order\": 12}, {\"cast_id\": 33, \"character\": \"Cryo Vault Med Tech\", \"credit_id\": \"52fe48009251416c750aca5f\", \"gender\": 2, \"id\": 397312, \"name\": \"Jason Whyte\", \"order\": 13}, {\"cast_id\": 34, \"character\": \"Venture Star Crew Chief\", \"credit_id\": \"52fe48009251416c750aca63\", \"gender\": 2, \"id\": 42317, \"name\": \"Scott Lawrence\", \"order\": 14}, {\"cast_id\": 35, \"character\": \"Lock Up Trooper\", \"credit_id\": \"52fe48009251416c750aca67\", \"gender\": 2, \"id\": 986734, \"name\": \"Kelly Kilgour\", \"order\": 15}, {\"cast_id\": 36, \"character\": \"Shuttle Pilot\", \"credit_id\": \"52fe48009251416c750aca6b\", \"gender\": 0, \"id\": 1207227, \"name\": \"James Patrick Pitt\", \"order\": 16}, {\"cast_id\": 37, \"character\": \"Shuttle Co-Pilot\", \"credit_id\": \"52fe48009251416c750aca6f\", \"gender\": 0, \"id\": 1180936, \"name\": \"Sean Patrick Murphy\", \"order\": 17}, {\"cast_id\": 38, \"character\": \"Shuttle Crew Chief\", \"credit_id\": \"52fe48009251416c750aca73\", \"gender\": 2, \"id\": 1019578, \"name\": \"Peter Dillon\", \"order\": 18}, {\"cast_id\": 39, \"character\": \"Tractor Operator / Troupe\", \"credit_id\": \"52fe48009251416c750aca77\", \"gender\": 0, \"id\": 91443, \"name\": \"Kevin Dorman\", \"order\": 19}, {\"cast_id\": 40, \"character\": \"Dragon Gunship Pilot\", \"credit_id\": \"52fe48009251416c750aca7b\", \"gender\": 2, \"id\": 173391, \"name\": \"Kelson Henderson\", \"order\": 20}, {\"cast_id\": 41, \"character\": \"Dragon Gunship Gunner\", \"credit_id\": \"52fe48009251416c750aca7f\", \"gender\": 0, \"id\": 1207236, \"name\": \"David Van Horn\", \"order\": 21}, {\"cast_id\": 42, \"character\": \"Dragon Gunship Navigator\", \"credit_id\": \"52fe48009251416c750aca83\", \"gender\": 0, \"id\": 215913, \"name\": \"Jacob Tomuri\", \"order\": 22}, {\"cast_id\": 43, \"character\": \"Suit #1\", \"credit_id\": \"52fe48009251416c750aca87\", \"gender\": 0, \"id\": 143206, \"name\": \"Michael Blain-Rozgay\", \"order\": 23}, {\"cast_id\": 44, \"character\": \"Suit #2\", \"credit_id\": \"52fe48009251416c750aca8b\", \"gender\": 2, \"id\": 169676, \"name\": \"Jon Curry\", \"order\": 24}, {\"cast_id\": 46, \"character\": \"Ambient Room Tech\", \"credit_id\": \"52fe48009251416c750aca8f\", \"gender\": 0, \"id\": 1048610, \"name\": \"Luke Hawker\", \"order\": 25}, {\"cast_id\": 47, \"character\": \"Ambient Room Tech / Troupe\", \"credit_id\": \"52fe48009251416c750aca93\", \"gender\": 0, \"id\": 42288, \"name\": \"Woody Schultz\", \"order\": 26}, {\"cast_id\": 48, \"character\": \"Horse Clan Leader\", \"credit_id\": \"52fe48009251416c750aca97\", \"gender\": 2, \"id\": 68278, \"name\": \"Peter Mensah\", \"order\": 27}, {\"cast_id\": 49, \"character\": \"Link Room Tech\", \"credit_id\": \"52fe48009251416c750aca9b\", \"gender\": 0, \"id\": 1207247, \"name\": \"Sonia Yee\", \"order\": 28}, {\"cast_id\": 50, \"character\": \"Basketball Avatar / Troupe\", \"credit_id\": \"52fe48009251416c750aca9f\", \"gender\": 1, \"id\": 1207248, \"name\": \"Jahnel Curfman\", \"order\": 29}, {\"cast_id\": 51, \"character\": \"Basketball Avatar\", \"credit_id\": \"52fe48009251416c750acaa3\", \"gender\": 0, \"id\": 89714, \"name\": \"Ilram Choi\", \"order\": 30}, {\"cast_id\": 52, \"character\": \"Na\\'vi Child\", \"credit_id\": \"52fe48009251416c750acaa7\", \"gender\": 0, \"id\": 1207249, \"name\": \"Kyla Warren\", \"order\": 31}, {\"cast_id\": 53, \"character\": \"Troupe\", \"credit_id\": \"52fe48009251416c750acaab\", \"gender\": 0, \"id\": 1207250, \"name\": \"Lisa Roumain\", \"order\": 32}, {\"cast_id\": 54, \"character\": \"Troupe\", \"credit_id\": \"52fe48009251416c750acaaf\", \"gender\": 1, \"id\": 83105, \"name\": \"Debra Wilson\", \"order\": 33}, {\"cast_id\": 57, \"character\": \"Troupe\", \"credit_id\": \"52fe48009251416c750acabb\", \"gender\": 0, \"id\": 1207253, \"name\": \"Chris Mala\", \"order\": 34}, {\"cast_id\": 55, \"character\": \"Troupe\", \"credit_id\": \"52fe48009251416c750acab3\", \"gender\": 0, \"id\": 1207251, \"name\": \"Taylor Kibby\", \"order\": 35}, {\"cast_id\": 56, \"character\": \"Troupe\", \"credit_id\": \"52fe48009251416c750acab7\", \"gender\": 0, \"id\": 1207252, \"name\": \"Jodie Landau\", \"order\": 36}, {\"cast_id\": 58, \"character\": \"Troupe\", \"credit_id\": \"52fe48009251416c750acabf\", \"gender\": 0, \"id\": 1207254, \"name\": \"Julie Lamm\", \"order\": 37}, {\"cast_id\": 59, \"character\": \"Troupe\", \"credit_id\": \"52fe48009251416c750acac3\", \"gender\": 0, \"id\": 1207257, \"name\": \"Cullen B. Madden\", \"order\": 38}, {\"cast_id\": 60, \"character\": \"Troupe\", \"credit_id\": \"52fe48009251416c750acac7\", \"gender\": 0, \"id\": 1207259, \"name\": \"Joseph Brady Madden\", \"order\": 39}, {\"cast_id\": 61, \"character\": \"Troupe\", \"credit_id\": \"52fe48009251416c750acacb\", \"gender\": 0, \"id\": 1207262, \"name\": \"Frankie Torres\", \"order\": 40}, {\"cast_id\": 62, \"character\": \"Troupe\", \"credit_id\": \"52fe48009251416c750acacf\", \"gender\": 1, \"id\": 1158600, \"name\": \"Austin Wilson\", \"order\": 41}, {\"cast_id\": 63, \"character\": \"Troupe\", \"credit_id\": \"52fe48019251416c750acad3\", \"gender\": 1, \"id\": 983705, \"name\": \"Sara Wilson\", \"order\": 42}, {\"cast_id\": 64, \"character\": \"Troupe\", \"credit_id\": \"52fe48019251416c750acad7\", \"gender\": 0, \"id\": 1207263, \"name\": \"Tamica Washington-Miller\", \"order\": 43}, {\"cast_id\": 65, \"character\": \"Op Center Staff\", \"credit_id\": \"52fe48019251416c750acadb\", \"gender\": 1, \"id\": 1145098, \"name\": \"Lucy Briant\", \"order\": 44}, {\"cast_id\": 66, \"character\": \"Op Center Staff\", \"credit_id\": \"52fe48019251416c750acadf\", \"gender\": 2, \"id\": 33305, \"name\": \"Nathan Meister\", \"order\": 45}, {\"cast_id\": 67, \"character\": \"Op Center Staff\", \"credit_id\": \"52fe48019251416c750acae3\", \"gender\": 0, \"id\": 1207264, \"name\": \"Gerry Blair\", \"order\": 46}, {\"cast_id\": 68, \"character\": \"Op Center Staff\", \"credit_id\": \"52fe48019251416c750acae7\", \"gender\": 2, \"id\": 33311, \"name\": \"Matthew Chamberlain\", \"order\": 47}, {\"cast_id\": 69, \"character\": \"Op Center Staff\", \"credit_id\": \"52fe48019251416c750acaeb\", \"gender\": 0, \"id\": 1207265, \"name\": \"Paul Yates\", \"order\": 48}, {\"cast_id\": 70, \"character\": \"Op Center Duty Officer\", \"credit_id\": \"52fe48019251416c750acaef\", \"gender\": 0, \"id\": 1207266, \"name\": \"Wray Wilson\", \"order\": 49}, {\"cast_id\": 71, \"character\": \"Op Center Staff\", \"credit_id\": \"52fe48019251416c750acaf3\", \"gender\": 2, \"id\": 54492, \"name\": \"James Gaylyn\", \"order\": 50}, {\"cast_id\": 72, \"character\": \"Dancer\", \"credit_id\": \"52fe48019251416c750acaf7\", \"gender\": 0, \"id\": 1207267, \"name\": \"Melvin Leno Clark III\", \"order\": 51}, {\"cast_id\": 73, \"character\": \"Dancer\", \"credit_id\": \"52fe48019251416c750acafb\", \"gender\": 0, \"id\": 1207268, \"name\": \"Carvon Futrell\", \"order\": 52}, {\"cast_id\": 74, \"character\": \"Dancer\", \"credit_id\": \"52fe48019251416c750acaff\", \"gender\": 0, \"id\": 1207269, \"name\": \"Brandon Jelkes\", \"order\": 53}, {\"cast_id\": 75, \"character\": \"Dancer\", \"credit_id\": \"52fe48019251416c750acb03\", \"gender\": 0, \"id\": 1207270, \"name\": \"Micah Moch\", \"order\": 54}, {\"cast_id\": 76, \"character\": \"Dancer\", \"credit_id\": \"52fe48019251416c750acb07\", \"gender\": 0, \"id\": 1207271, \"name\": \"Hanniyah Muhammad\", \"order\": 55}, {\"cast_id\": 77, \"character\": \"Dancer\", \"credit_id\": \"52fe48019251416c750acb0b\", \"gender\": 0, \"id\": 1207272, \"name\": \"Christopher Nolen\", \"order\": 56}, {\"cast_id\": 78, \"character\": \"Dancer\", \"credit_id\": \"52fe48019251416c750acb0f\", \"gender\": 0, \"id\": 1207273, \"name\": \"Christa Oliver\", \"order\": 57}, {\"cast_id\": 79, \"character\": \"Dancer\", \"credit_id\": \"52fe48019251416c750acb13\", \"gender\": 0, \"id\": 1207274, \"name\": \"April Marie Thomas\", \"order\": 58}, {\"cast_id\": 80, \"character\": \"Dancer\", \"credit_id\": \"52fe48019251416c750acb17\", \"gender\": 0, \"id\": 1207275, \"name\": \"Bravita A. Threatt\", \"order\": 59}, {\"cast_id\": 81, \"character\": \"Mining Chief (uncredited)\", \"credit_id\": \"52fe48019251416c750acb1b\", \"gender\": 0, \"id\": 1207276, \"name\": \"Colin Bleasdale\", \"order\": 60}, {\"cast_id\": 82, \"character\": \"Veteran Miner (uncredited)\", \"credit_id\": \"52fe48019251416c750acb1f\", \"gender\": 0, \"id\": 107969, \"name\": \"Mike Bodnar\", \"order\": 61}, {\"cast_id\": 83, \"character\": \"Richard (uncredited)\", \"credit_id\": \"52fe48019251416c750acb23\", \"gender\": 0, \"id\": 1207278, \"name\": \"Matt Clayton\", \"order\": 62}, {\"cast_id\": 84, \"character\": \"Nav\\'i (uncredited)\", \"credit_id\": \"52fe48019251416c750acb27\", \"gender\": 1, \"id\": 147898, \"name\": \"Nicole Dionne\", \"order\": 63}, {\"cast_id\": 85, \"character\": \"Trooper (uncredited)\", \"credit_id\": \"52fe48019251416c750acb2b\", \"gender\": 0, \"id\": 1207280, \"name\": \"Jamie Harrison\", \"order\": 64}, {\"cast_id\": 86, \"character\": \"Trooper (uncredited)\", \"credit_id\": \"52fe48019251416c750acb2f\", \"gender\": 0, \"id\": 1207281, \"name\": \"Allan Henry\", \"order\": 65}, {\"cast_id\": 87, \"character\": \"Ground Technician (uncredited)\", \"credit_id\": \"52fe48019251416c750acb33\", \"gender\": 2, \"id\": 1207282, \"name\": \"Anthony Ingruber\", \"order\": 66}, {\"cast_id\": 88, \"character\": \"Flight Crew Mechanic (uncredited)\", \"credit_id\": \"52fe48019251416c750acb37\", \"gender\": 0, \"id\": 1207283, \"name\": \"Ashley Jeffery\", \"order\": 67}, {\"cast_id\": 14, \"character\": \"Samson Pilot\", \"credit_id\": \"52fe48009251416c750ac9f9\", \"gender\": 0, \"id\": 98216, \"name\": \"Dean Knowsley\", \"order\": 68}, {\"cast_id\": 89, \"character\": \"Trooper (uncredited)\", \"credit_id\": \"52fe48019251416c750acb3b\", \"gender\": 0, \"id\": 1201399, \"name\": \"Joseph Mika-Hunt\", \"order\": 69}, {\"cast_id\": 90, \"character\": \"Banshee (uncredited)\", \"credit_id\": \"52fe48019251416c750acb3f\", \"gender\": 0, \"id\": 236696, \"name\": \"Terry Notary\", \"order\": 70}, {\"cast_id\": 91, \"character\": \"Soldier (uncredited)\", \"credit_id\": \"52fe48019251416c750acb43\", \"gender\": 0, \"id\": 1207287, \"name\": \"Kai Pantano\", \"order\": 71}, {\"cast_id\": 92, \"character\": \"Blast Technician (uncredited)\", \"credit_id\": \"52fe48019251416c750acb47\", \"gender\": 0, \"id\": 1207288, \"name\": \"Logan Pithyou\", \"order\": 72}, {\"cast_id\": 93, \"character\": \"Vindum Raah (uncredited)\", \"credit_id\": \"52fe48019251416c750acb4b\", \"gender\": 0, \"id\": 1207289, \"name\": \"Stuart Pollock\", \"order\": 73}, {\"cast_id\": 94, \"character\": \"Hero (uncredited)\", \"credit_id\": \"52fe48019251416c750acb4f\", \"gender\": 0, \"id\": 584868, \"name\": \"Raja\", \"order\": 74}, {\"cast_id\": 95, \"character\": \"Ops Centreworker (uncredited)\", \"credit_id\": \"52fe48019251416c750acb53\", \"gender\": 0, \"id\": 1207290, \"name\": \"Gareth Ruck\", \"order\": 75}, {\"cast_id\": 96, \"character\": \"Engineer (uncredited)\", \"credit_id\": \"52fe48019251416c750acb57\", \"gender\": 0, \"id\": 1062463, \"name\": \"Rhian Sheehan\", \"order\": 76}, {\"cast_id\": 97, \"character\": \"Col. Quaritch\\'s Mech Suit (uncredited)\", \"credit_id\": \"52fe48019251416c750acb5b\", \"gender\": 0, \"id\": 60656, \"name\": \"T. J. Storm\", \"order\": 77}, {\"cast_id\": 98, \"character\": \"Female Marine (uncredited)\", \"credit_id\": \"52fe48019251416c750acb5f\", \"gender\": 0, \"id\": 1207291, \"name\": \"Jodie Taylor\", \"order\": 78}, {\"cast_id\": 99, \"character\": \"Ikran Clan Leader (uncredited)\", \"credit_id\": \"52fe48019251416c750acb63\", \"gender\": 1, \"id\": 1186027, \"name\": \"Alicia Vela-Bailey\", \"order\": 79}, {\"cast_id\": 100, \"character\": \"Geologist (uncredited)\", \"credit_id\": \"52fe48019251416c750acb67\", \"gender\": 0, \"id\": 1207292, \"name\": \"Richard Whiteside\", \"order\": 80}, {\"cast_id\": 101, \"character\": \"Na\\'vi (uncredited)\", \"credit_id\": \"52fe48019251416c750acb6b\", \"gender\": 0, \"id\": 103259, \"name\": \"Nikie Zambo\", \"order\": 81}, {\"cast_id\": 102, \"character\": \"Ambient Room Tech / Troupe\", \"credit_id\": \"52fe48019251416c750acb6f\", \"gender\": 1, \"id\": 42286, \"name\": \"Julene Renee\", \"order\": 82}]'],\n",
              "      dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 158
        }
      ],
      "source": [
        "credits.head(1)['cast'].values"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 159,
      "id": "91f7b819",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "91f7b819",
        "outputId": "714fbd1a-35ae-4563-c0f3-e0b6a35bca8c"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
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Hernandez\"}, {\"credit_id\": \"5495a0ddc3a3686ae10046fe\", \"department\": \"Editing\", \"gender\": 0, \"id\": 1401815, \"job\": \"Digital Intermediate\", \"name\": \"Marvin Hall\"}, {\"credit_id\": \"5495a1f7c3a3686ae3004443\", \"department\": \"Production\", \"gender\": 0, \"id\": 1401816, \"job\": \"Publicist\", \"name\": \"Judy Alley\"}, {\"credit_id\": \"5592b29fc3a36869d100002f\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1418381, \"job\": \"CG Supervisor\", \"name\": \"Mike Perry\"}, {\"credit_id\": \"5592b23a9251415df8001081\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1426854, \"job\": \"CG Supervisor\", \"name\": \"Andrew Morley\"}, {\"credit_id\": \"55491e1192514104c40002d8\", \"department\": \"Art\", \"gender\": 0, \"id\": 1438901, \"job\": \"Conceptual Design\", \"name\": \"Seth Engstrom\"}, {\"credit_id\": \"5525d5809251417276002b06\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1447362, \"job\": \"Visual Effects Art Director\", \"name\": \"Eric Oliver\"}, {\"credit_id\": \"554427ca925141586500312a\", \"department\": \"Visual Effects\", \"gender\": 0, \"id\": 1447503, \"job\": \"Modeling\", \"name\": \"Matsune Suzuki\"}, {\"credit_id\": \"551906889251415aab001c88\", \"department\": \"Art\", \"gender\": 0, \"id\": 1447524, \"job\": \"Art Department Manager\", \"name\": \"Paul Tobin\"}, {\"credit_id\": \"5592af8492514152cc0010de\", \"department\": \"Costume & Make-Up\", \"gender\": 0, \"id\": 1452643, \"job\": \"Hairstylist\", \"name\": \"Roxane Griffin\"}, {\"credit_id\": \"553d3c109251415852001318\", \"department\": \"Lighting\", \"gender\": 0, \"id\": 1453938, \"job\": \"Lighting Artist\", \"name\": \"Arun Ram-Mohan\"}, {\"credit_id\": \"5592af4692514152d5001355\", \"department\": \"Costume & Make-Up\", \"gender\": 0, \"id\": 1457305, \"job\": \"Makeup Artist\", \"name\": \"Georgia Lockhart-Adams\"}, {\"credit_id\": \"5592b2eac3a36877470012a5\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1466035, \"job\": \"CG Supervisor\", \"name\": \"Thrain Shadbolt\"}, {\"credit_id\": \"5592b032c3a36877450015f1\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1483220, \"job\": \"CG Supervisor\", \"name\": \"Brad Alexander\"}, {\"credit_id\": \"5592b05592514152d80012f6\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1483221, \"job\": \"CG Supervisor\", \"name\": \"Shadi Almassizadeh\"}, {\"credit_id\": \"5592b090c3a36877570010b5\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1483222, \"job\": \"CG Supervisor\", \"name\": \"Simon Clutterbuck\"}, {\"credit_id\": \"5592b0dbc3a368774b00112c\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1483223, \"job\": \"CG Supervisor\", \"name\": \"Graeme Demmocks\"}, {\"credit_id\": \"5592b0fe92514152db0010c1\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1483224, \"job\": \"CG Supervisor\", \"name\": \"Adrian Fernandes\"}, {\"credit_id\": \"5592b11f9251415df8001059\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1483225, \"job\": \"CG Supervisor\", \"name\": \"Mitch Gates\"}, {\"credit_id\": \"5592b15dc3a3687745001645\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1483226, \"job\": \"CG Supervisor\", \"name\": \"Jerry Kung\"}, {\"credit_id\": \"5592b18e925141645a0004ae\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1483227, \"job\": \"CG Supervisor\", \"name\": \"Andy Lomas\"}, {\"credit_id\": \"5592b1bfc3a368775d0010e7\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1483228, \"job\": \"CG Supervisor\", \"name\": \"Sebastian Marino\"}, {\"credit_id\": \"5592b2049251415df8001078\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1483229, \"job\": \"CG Supervisor\", \"name\": \"Matthias Menz\"}, {\"credit_id\": \"5592b27b92514152d800136a\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1483230, \"job\": \"CG Supervisor\", \"name\": \"Sergei Nevshupov\"}, {\"credit_id\": \"5592b2c3c3a36869e800003c\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1483231, \"job\": \"CG Supervisor\", \"name\": \"Philippe Rebours\"}, {\"credit_id\": \"5592b317c3a36877470012af\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1483232, \"job\": \"CG Supervisor\", \"name\": \"Michael Takarangi\"}, {\"credit_id\": \"5592b345c3a36877470012bb\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1483233, \"job\": \"CG Supervisor\", \"name\": \"David Weitzberg\"}, {\"credit_id\": \"5592b37cc3a368775100113b\", \"department\": \"Crew\", \"gender\": 0, \"id\": 1483234, \"job\": \"CG Supervisor\", \"name\": \"Ben White\"}, {\"credit_id\": \"573c8e2f9251413f5d000094\", \"department\": \"Crew\", \"gender\": 1, \"id\": 1621932, \"job\": \"Stunts\", \"name\": \"Min Windle\"}]'],\n",
              "      dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 159
        }
      ],
      "source": [
        "credits.head(1)['crew'].values"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "d157d71a",
      "metadata": {
        "id": "d157d71a"
      },
      "source": [
        "## Merging datasets\n",
        "\n",
        "- based on title"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 160,
      "id": "0760bb2a",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "0760bb2a",
        "outputId": "e0c421d0-6922-4f45-da0c-cb8d1eb9ec68"
      },
      "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",
              "5  258000000  [{\"id\": 14, \"name\": \"Fantasy\"}, {\"id\": 28, \"na...   \n",
              "6  260000000  [{\"id\": 16, \"name\": \"Animation\"}, {\"id\": 10751...   \n",
              "7  280000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
              "8  250000000  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...   \n",
              "9  250000000  [{\"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",
              "5    http://www.sonypictures.com/movies/spider-man3/     559   \n",
              "6       http://disney.go.com/disneypictures/tangled/   38757   \n",
              "7  http://marvel.com/movies/movie/193/avengers_ag...   99861   \n",
              "8  http://harrypotter.warnerbros.com/harrypottera...     767   \n",
              "9       http://www.batmanvsupermandawnofjustice.com/  209112   \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",
              "5  [{\"id\": 851, \"name\": \"dual identity\"}, {\"id\": ...                en   \n",
              "6  [{\"id\": 1562, \"name\": \"hostage\"}, {\"id\": 2343,...                en   \n",
              "7  [{\"id\": 8828, \"name\": \"marvel comic\"}, {\"id\": ...                en   \n",
              "8  [{\"id\": 616, \"name\": \"witch\"}, {\"id\": 2343, \"n...                en   \n",
              "9  [{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 7002...                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",
              "5                              Spider-Man 3   \n",
              "6                                   Tangled   \n",
              "7                   Avengers: Age of Ultron   \n",
              "8    Harry Potter and the Half-Blood Prince   \n",
              "9        Batman v Superman: Dawn of Justice   \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",
              "5  The seemingly invincible Spider-Man goes up ag...  115.699814   \n",
              "6  When the kingdom's most wanted-and most charmi...   48.681969   \n",
              "7  When Tony Stark tries to jumpstart a dormant p...  134.279229   \n",
              "8  As Harry begins his sixth year at Hogwarts, he...   98.885637   \n",
              "9  Fearing the actions of a god-like Super Hero l...  155.790452   \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",
              "5  [{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...  ...   139.0   \n",
              "6  [{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...  ...   100.0   \n",
              "7  [{\"name\": \"Marvel Studios\", \"id\": 420}, {\"name...  ...   141.0   \n",
              "8  [{\"name\": \"Warner Bros.\", \"id\": 6194}, {\"name\"...  ...   153.0   \n",
              "9  [{\"name\": \"DC Comics\", \"id\": 429}, {\"name\": \"A...  ...   151.0   \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",
              "5  [{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...  Released   \n",
              "6           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
              "7           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
              "8           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
              "9           [{\"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",
              "5                              The battle within.   \n",
              "6        They're taking adventure to new lengths.   \n",
              "7                             A New Age Has Come.   \n",
              "8                           Dark Secrets Revealed   \n",
              "9                              Justice or revenge   \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",
              "5                              Spider-Man 3          5.9       3576      559   \n",
              "6                                   Tangled          7.4       3330    38757   \n",
              "7                   Avengers: Age of Ultron          7.3       6767    99861   \n",
              "8    Harry Potter and the Half-Blood Prince          7.4       5293      767   \n",
              "9        Batman v Superman: Dawn of Justice          5.7       7004   209112   \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",
              "5  [{\"cast_id\": 30, \"character\": \"Peter Parker / ...   \n",
              "6  [{\"cast_id\": 34, \"character\": \"Flynn Rider (vo...   \n",
              "7  [{\"cast_id\": 76, \"character\": \"Tony Stark / Ir...   \n",
              "8  [{\"cast_id\": 3, \"character\": \"Harry Potter\", \"...   \n",
              "9  [{\"cast_id\": 18, \"character\": \"Bruce Wayne / B...   \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",
              "5  [{\"credit_id\": \"52fe4252c3a36847f80151a5\", \"de...  \n",
              "6  [{\"credit_id\": \"52fe46db9251416c91062101\", \"de...  \n",
              "7  [{\"credit_id\": \"55d5f7d4c3a3683e7e0016eb\", \"de...  \n",
              "8  [{\"credit_id\": \"52fe4273c3a36847f801fab1\", \"de...  \n",
              "9  [{\"credit_id\": \"553bf23692514135c8002886\", \"de...  \n",
              "\n",
              "[10 rows x 23 columns]"
            ],
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              "\n",
              "\n",
              "  <div id=\"df-f286c622-2da6-4550-93cf-f646c1ed4734\">\n",
              "    <div 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",
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              "</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>258000000</td>\n",
              "      <td>[{\"id\": 14, \"name\": \"Fantasy\"}, {\"id\": 28, \"na...</td>\n",
              "      <td>http://www.sonypictures.com/movies/spider-man3/</td>\n",
              "      <td>559</td>\n",
              "      <td>[{\"id\": 851, \"name\": \"dual identity\"}, {\"id\": ...</td>\n",
              "      <td>en</td>\n",
              "      <td>Spider-Man 3</td>\n",
              "      <td>The seemingly invincible Spider-Man goes up ag...</td>\n",
              "      <td>115.699814</td>\n",
              "      <td>[{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...</td>\n",
              "      <td>...</td>\n",
              "      <td>139.0</td>\n",
              "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...</td>\n",
              "      <td>Released</td>\n",
              "      <td>The battle within.</td>\n",
              "      <td>Spider-Man 3</td>\n",
              "      <td>5.9</td>\n",
              "      <td>3576</td>\n",
              "      <td>559</td>\n",
              "      <td>[{\"cast_id\": 30, \"character\": \"Peter Parker / ...</td>\n",
              "      <td>[{\"credit_id\": \"52fe4252c3a36847f80151a5\", \"de...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>260000000</td>\n",
              "      <td>[{\"id\": 16, \"name\": \"Animation\"}, {\"id\": 10751...</td>\n",
              "      <td>http://disney.go.com/disneypictures/tangled/</td>\n",
              "      <td>38757</td>\n",
              "      <td>[{\"id\": 1562, \"name\": \"hostage\"}, {\"id\": 2343,...</td>\n",
              "      <td>en</td>\n",
              "      <td>Tangled</td>\n",
              "      <td>When the kingdom's most wanted-and most charmi...</td>\n",
              "      <td>48.681969</td>\n",
              "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...</td>\n",
              "      <td>...</td>\n",
              "      <td>100.0</td>\n",
              "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>They're taking adventure to new lengths.</td>\n",
              "      <td>Tangled</td>\n",
              "      <td>7.4</td>\n",
              "      <td>3330</td>\n",
              "      <td>38757</td>\n",
              "      <td>[{\"cast_id\": 34, \"character\": \"Flynn Rider (vo...</td>\n",
              "      <td>[{\"credit_id\": \"52fe46db9251416c91062101\", \"de...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>280000000</td>\n",
              "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
              "      <td>http://marvel.com/movies/movie/193/avengers_ag...</td>\n",
              "      <td>99861</td>\n",
              "      <td>[{\"id\": 8828, \"name\": \"marvel comic\"}, {\"id\": ...</td>\n",
              "      <td>en</td>\n",
              "      <td>Avengers: Age of Ultron</td>\n",
              "      <td>When Tony Stark tries to jumpstart a dormant p...</td>\n",
              "      <td>134.279229</td>\n",
              "      <td>[{\"name\": \"Marvel Studios\", \"id\": 420}, {\"name...</td>\n",
              "      <td>...</td>\n",
              "      <td>141.0</td>\n",
              "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>A New Age Has Come.</td>\n",
              "      <td>Avengers: Age of Ultron</td>\n",
              "      <td>7.3</td>\n",
              "      <td>6767</td>\n",
              "      <td>99861</td>\n",
              "      <td>[{\"cast_id\": 76, \"character\": \"Tony Stark / Ir...</td>\n",
              "      <td>[{\"credit_id\": \"55d5f7d4c3a3683e7e0016eb\", \"de...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>250000000</td>\n",
              "      <td>[{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...</td>\n",
              "      <td>http://harrypotter.warnerbros.com/harrypottera...</td>\n",
              "      <td>767</td>\n",
              "      <td>[{\"id\": 616, \"name\": \"witch\"}, {\"id\": 2343, \"n...</td>\n",
              "      <td>en</td>\n",
              "      <td>Harry Potter and the Half-Blood Prince</td>\n",
              "      <td>As Harry begins his sixth year at Hogwarts, he...</td>\n",
              "      <td>98.885637</td>\n",
              "      <td>[{\"name\": \"Warner Bros.\", \"id\": 6194}, {\"name\"...</td>\n",
              "      <td>...</td>\n",
              "      <td>153.0</td>\n",
              "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>Dark Secrets Revealed</td>\n",
              "      <td>Harry Potter and the Half-Blood Prince</td>\n",
              "      <td>7.4</td>\n",
              "      <td>5293</td>\n",
              "      <td>767</td>\n",
              "      <td>[{\"cast_id\": 3, \"character\": \"Harry Potter\", \"...</td>\n",
              "      <td>[{\"credit_id\": \"52fe4273c3a36847f801fab1\", \"de...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>250000000</td>\n",
              "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
              "      <td>http://www.batmanvsupermandawnofjustice.com/</td>\n",
              "      <td>209112</td>\n",
              "      <td>[{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 7002...</td>\n",
              "      <td>en</td>\n",
              "      <td>Batman v Superman: Dawn of Justice</td>\n",
              "      <td>Fearing the actions of a god-like Super Hero l...</td>\n",
              "      <td>155.790452</td>\n",
              "      <td>[{\"name\": \"DC Comics\", \"id\": 429}, {\"name\": \"A...</td>\n",
              "      <td>...</td>\n",
              "      <td>151.0</td>\n",
              "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
              "      <td>Released</td>\n",
              "      <td>Justice or revenge</td>\n",
              "      <td>Batman v Superman: Dawn of Justice</td>\n",
              "      <td>5.7</td>\n",
              "      <td>7004</td>\n",
              "      <td>209112</td>\n",
              "      <td>[{\"cast_id\": 18, \"character\": \"Bruce Wayne / B...</td>\n",
              "      <td>[{\"credit_id\": \"553bf23692514135c8002886\", \"de...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>10 rows × 23 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f286c622-2da6-4550-93cf-f646c1ed4734')\"\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 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "\n",
              "\n",
              "\n",
              "    <div id=\"df-0fd87c8f-350c-4097-8c96-7f26d715686d\">\n",
              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-0fd87c8f-350c-4097-8c96-7f26d715686d')\"\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",
              "    </div>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\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-quickchart: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",
              "  [theme=dark] .colab-df-quickchart {\n",
              "    background-color: #3B4455;\n",
              "    fill: #D2E3FC;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart: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",
              "      async function quickchart(key) {\n",
              "        const containerElement = document.querySelector('#' + key);\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      }\n",
              "    </script>\n",
              "\n",
              "      <script>\n",
              "\n",
              "function displayQuickchartButton(domScope) {\n",
              "  let quickchartButtonEl =\n",
              "    domScope.querySelector('#df-0fd87c8f-350c-4097-8c96-7f26d715686d button.colab-df-quickchart');\n",
              "  quickchartButtonEl.style.display =\n",
              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "}\n",
              "\n",
              "        displayQuickchartButton(document);\n",
              "      </script>\n",
              "      <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\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",
              "    [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-f286c622-2da6-4550-93cf-f646c1ed4734 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-f286c622-2da6-4550-93cf-f646c1ed4734');\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",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 160
        }
      ],
      "source": [
        "movies = movies.merge(credits, on = 'title')\n",
        "movies.head(10)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 161,
      "id": "b74e1bc2",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "b74e1bc2",
        "outputId": "9cbbc718-4426-4ee7-b3a9-8678e5d1c610"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(4809, 23)"
            ]
          },
          "metadata": {},
          "execution_count": 161
        }
      ],
      "source": [
        "movies.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 162,
      "id": "07794d66",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "07794d66",
        "outputId": "047b5ed9-a6f7-43aa-da29-74fe4b105585"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['budget', 'genres', 'homepage', 'id', 'keywords', 'original_language',\n",
              "       'original_title', 'overview', 'popularity', 'production_companies',\n",
              "       'production_countries', 'release_date', 'revenue', 'runtime',\n",
              "       'spoken_languages', 'status', 'tagline', 'title', 'vote_average',\n",
              "       'vote_count', 'movie_id', 'cast', 'crew'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 162
        }
      ],
      "source": [
        "# Column names\n",
        "\n",
        "movies.columns"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 163,
      "id": "6cc42ef9",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6cc42ef9",
        "outputId": "4c8679fd-492b-41ed-9dee-247b108043e8"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Int64Index: 4809 entries, 0 to 4808\n",
            "Data columns (total 23 columns):\n",
            " #   Column                Non-Null Count  Dtype  \n",
            "---  ------                --------------  -----  \n",
            " 0   budget                4809 non-null   int64  \n",
            " 1   genres                4809 non-null   object \n",
            " 2   homepage              1713 non-null   object \n",
            " 3   id                    4809 non-null   int64  \n",
            " 4   keywords              4809 non-null   object \n",
            " 5   original_language     4809 non-null   object \n",
            " 6   original_title        4809 non-null   object \n",
            " 7   overview              4806 non-null   object \n",
            " 8   popularity            4809 non-null   float64\n",
            " 9   production_companies  4809 non-null   object \n",
            " 10  production_countries  4809 non-null   object \n",
            " 11  release_date          4808 non-null   object \n",
            " 12  revenue               4809 non-null   int64  \n",
            " 13  runtime               4807 non-null   float64\n",
            " 14  spoken_languages      4809 non-null   object \n",
            " 15  status                4809 non-null   object \n",
            " 16  tagline               3965 non-null   object \n",
            " 17  title                 4809 non-null   object \n",
            " 18  vote_average          4809 non-null   float64\n",
            " 19  vote_count            4809 non-null   int64  \n",
            " 20  movie_id              4809 non-null   int64  \n",
            " 21  cast                  4809 non-null   object \n",
            " 22  crew                  4809 non-null   object \n",
            "dtypes: float64(3), int64(5), object(15)\n",
            "memory usage: 901.7+ KB\n"
          ]
        }
      ],
      "source": [
        "# information of columns\n",
        "\n",
        "movies.info()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "a2066536",
      "metadata": {
        "id": "a2066536"
      },
      "source": [
        "## removing trival columns\n",
        "\n",
        "- important columns\n",
        "    1. genres\n",
        "    2. id\n",
        "    3. keywords\n",
        "    4. title\n",
        "    5. overview\n",
        "    6. cast\n",
        "    7. crew"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 164,
      "id": "0b8d1523",
      "metadata": {
        "id": "0b8d1523"
      },
      "outputs": [],
      "source": [
        "movies = movies[['movie_id', 'title', 'overview','genres', 'keywords', 'cast', 'crew']]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 165,
      "id": "129011cd",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 337
        },
        "id": "129011cd",
        "outputId": "f3a7f22f-cd92-43a7-c5f9-214394125794"
      },
      "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",
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              "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",
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              "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",
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              "4  [{\"cast_id\": 5, \"character\": \"John Carter\", \"c...   \n",
              "\n",
              "                                                crew  \n",
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              "      <td>285</td>\n",
              "      <td>Pirates of the Caribbean: At World's End</td>\n",
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              "      <td>The Dark Knight Rises</td>\n",
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              "      <td>John Carter is a war-weary, former military ca...</td>\n",
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              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-720c12f4-c56a-4538-9043-27290f3c41fe')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "              title=\"Suggest charts.\"\n",
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              "      </button>\n",
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              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\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-quickchart: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",
              "  [theme=dark] .colab-df-quickchart {\n",
              "    background-color: #3B4455;\n",
              "    fill: #D2E3FC;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart: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",
              "      async function quickchart(key) {\n",
              "        const containerElement = document.querySelector('#' + key);\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      }\n",
              "    </script>\n",
              "\n",
              "      <script>\n",
              "\n",
              "function displayQuickchartButton(domScope) {\n",
              "  let quickchartButtonEl =\n",
              "    domScope.querySelector('#df-87571336-5633-442f-b8c2-cb1f2632635a button.colab-df-quickchart');\n",
              "  quickchartButtonEl.style.display =\n",
              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "}\n",
              "\n",
              "        displayQuickchartButton(document);\n",
              "      </script>\n",
              "      <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
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              "\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",
              "      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",
              "    [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",
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              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-720c12f4-c56a-4538-9043-27290f3c41fe 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-720c12f4-c56a-4538-9043-27290f3c41fe');\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",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 165
        }
      ],
      "source": [
        "movies.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 166,
      "id": "c85c727e",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "c85c727e",
        "outputId": "6937086d-fffe-4178-c58c-7cbb6bfd79c2"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "movie_id    0\n",
              "title       0\n",
              "overview    3\n",
              "genres      0\n",
              "keywords    0\n",
              "cast        0\n",
              "crew        0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 166
        }
      ],
      "source": [
        "# finding null data\n",
        "\n",
        "movies.isnull().sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 167,
      "id": "d845e450",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "d845e450",
        "outputId": "2b6fafd2-0bd1-4e14-894d-a210f170254d"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-167-382ea4cf3042>:3: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  movies.dropna(inplace = True)\n"
          ]
        }
      ],
      "source": [
        "# dropping rows with  null overview\n",
        "\n",
        "movies.dropna(inplace = True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 168,
      "id": "9c7fb36e",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9c7fb36e",
        "outputId": "5efa34ae-2f13-405d-f315-08e12477a525"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {},
          "execution_count": 168
        }
      ],
      "source": [
        "movies.duplicated().sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 169,
      "id": "fdfa1248",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "id": "fdfa1248",
        "outputId": "1b429bb6-1cdb-42b2-97fa-84764308cc61"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"name\": \"Fantasy\"}, {\"id\": 878, \"name\": \"Science Fiction\"}]'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 169
        }
      ],
      "source": [
        "movies.iloc[0].genres"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 170,
      "id": "2ec89f27",
      "metadata": {
        "id": "2ec89f27"
      },
      "outputs": [],
      "source": [
        "import ast\n",
        "\n",
        "def converter(obj):\n",
        "    list =[]\n",
        "    for i in ast.literal_eval(obj):\n",
        "        list.append(i['name'])\n",
        "    return list"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 171,
      "id": "f795d667",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "f795d667",
        "outputId": "42442205-8a49-497f-be94-b239561b66df"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Action', 'Adventure', 'Fantasy', 'Science Fiction']"
            ]
          },
          "metadata": {},
          "execution_count": 171
        }
      ],
      "source": [
        "# call the function\n",
        "\n",
        "converter('[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"name\": \"Fantasy\"}, {\"id\": 878, \"name\": \"Science Fiction\"}]')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 172,
      "id": "d24c0111",
      "metadata": {
        "id": "d24c0111"
      },
      "outputs": [],
      "source": [
        "movies['genres'] = movies['genres'].apply(converter)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 173,
      "id": "a55f3803",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "a55f3803",
        "outputId": "42ebb6e5-019e-4358-cd76-4c498d50a869"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "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",
              "Name: genres, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 173
        }
      ],
      "source": [
        "movies['genres'].head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 174,
      "id": "ec37bebc",
      "metadata": {
        "id": "ec37bebc"
      },
      "outputs": [],
      "source": [
        "movies['keywords'] = movies['keywords'].apply(converter)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 175,
      "id": "8208a2f0",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8208a2f0",
        "outputId": "f4983158-2e37-4d1f-89a8-3bb41ca23e66"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "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",
              "Name: keywords, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 175
        }
      ],
      "source": [
        "movies['keywords'].head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 176,
      "id": "f362534a",
      "metadata": {
        "id": "f362534a"
      },
      "outputs": [],
      "source": [
        "# formatting cast data column\n",
        "\n",
        "def cast_converter(obj):\n",
        "    list =[]\n",
        "    counter = 0\n",
        "    for i in ast.literal_eval(obj):\n",
        "        if counter != 3:\n",
        "            list.append(i['name'])\n",
        "            counter += 1\n",
        "        else:\n",
        "            break\n",
        "    return list"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 177,
      "id": "43ff676f",
      "metadata": {
        "id": "43ff676f"
      },
      "outputs": [],
      "source": [
        "movies['cast'] = movies['cast'].apply(cast_converter)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 178,
      "id": "d57fea8a",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "d57fea8a",
        "outputId": "f0becea4-9842-4354-8026-bf9f076718e6"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0     [Sam Worthington, Zoe Saldana, Sigourney Weaver]\n",
              "1        [Johnny Depp, Orlando Bloom, Keira Knightley]\n",
              "2         [Daniel Craig, Christoph Waltz, Léa Seydoux]\n",
              "3         [Christian Bale, Michael Caine, Gary Oldman]\n",
              "4       [Taylor Kitsch, Lynn Collins, Samantha Morton]\n",
              "5         [Tobey Maguire, Kirsten Dunst, James Franco]\n",
              "6            [Zachary Levi, Mandy Moore, Donna Murphy]\n",
              "7    [Robert Downey Jr., Chris Hemsworth, Mark Ruff...\n",
              "8        [Daniel Radcliffe, Rupert Grint, Emma Watson]\n",
              "9               [Ben Affleck, Henry Cavill, Gal Gadot]\n",
              "Name: cast, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 178
        }
      ],
      "source": [
        "movies['cast'].head(10)"
      ]
    },
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              "   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",
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              "\n",
              "                                          genres  \\\n",
              "0  [Action, Adventure, Fantasy, Science Fiction]   \n",
              "1                   [Adventure, Fantasy, Action]   \n",
              "2                     [Action, Adventure, Crime]   \n",
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              "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 Weaver]   \n",
              "1     [Johnny Depp, Orlando Bloom, Keira Knightley]   \n",
              "2      [Daniel Craig, Christoph Waltz, Léa Seydoux]   \n",
              "3      [Christian Bale, Michael Caine, Gary Oldman]   \n",
              "4    [Taylor Kitsch, Lynn Collins, Samantha Morton]   \n",
              "\n",
              "                                                crew  \n",
              "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  \n",
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              "\n",
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              "  quickchartButtonEl.style.display =\n",
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              "\n",
              "        displayQuickchartButton(document);\n",
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              "    .colab-df-convert:hover {\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [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",
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          },
          "metadata": {},
          "execution_count": 179
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "WARNING:root:Quickchart encountered unexpected dtypes in columns: \"(['genres', 'keywords', 'cast'],)\"\n"
          ]
        }
      ],
      "source": [
        "movies.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 180,
      "id": "e4a9899d",
      "metadata": {
        "id": "e4a9899d"
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      "outputs": [],
      "source": [
        "def fetch_director(obj):\n",
        "    list = []\n",
        "    for i in ast.literal_eval(obj):\n",
        "        if i['job'] == 'Director':\n",
        "            list.append(i['name'])\n",
        "            break\n",
        "    return list"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 181,
      "id": "b8776f9e",
      "metadata": {
        "id": "b8776f9e"
      },
      "outputs": [],
      "source": [
        "movies['crew'] = movies['crew'].apply(fetch_director)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 182,
      "id": "f8e97a4b",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "f8e97a4b",
        "outputId": "7e1dd84b-f4a3-4869-c4f3-2822d1667e8f"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0     [Sam Worthington, Zoe Saldana, Sigourney Weaver]\n",
              "1        [Johnny Depp, Orlando Bloom, Keira Knightley]\n",
              "2         [Daniel Craig, Christoph Waltz, Léa Seydoux]\n",
              "3         [Christian Bale, Michael Caine, Gary Oldman]\n",
              "4       [Taylor Kitsch, Lynn Collins, Samantha Morton]\n",
              "5         [Tobey Maguire, Kirsten Dunst, James Franco]\n",
              "6            [Zachary Levi, Mandy Moore, Donna Murphy]\n",
              "7    [Robert Downey Jr., Chris Hemsworth, Mark Ruff...\n",
              "8        [Daniel Radcliffe, Rupert Grint, Emma Watson]\n",
              "9               [Ben Affleck, Henry Cavill, Gal Gadot]\n",
              "Name: cast, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 182
        }
      ],
      "source": [
        "movies['cast'].head(10)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 183,
      "id": "247fb5d1",
      "metadata": {
        "id": "247fb5d1"
      },
      "outputs": [],
      "source": [
        "# for overview\n",
        "\n",
        "movies['overview'] = movies['overview'].apply(lambda x : x.split())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 222,
      "id": "ee9bfda8",
      "metadata": {
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              "   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, Marin...   \n",
              "1  [Captain, Barbossa,, long, believed, to, be, d...   \n",
              "2  [A, cryptic, message, from, Bond’s, past, send...   \n",
              "3  [Following, the, death, of, District, Attorney...   \n",
              "4  [John, Carter, is, a, war-weary,, former, mili...   \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]   \n",
              "\n",
              "                                                tags  \n",
              "0  [In, the, 22nd, century,, a, paraplegic, Marin...  \n",
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              "      <td>[ocean, drugabuse, exoticisland, eastindiatrad...</td>\n",
              "      <td>[JohnnyDepp, OrlandoBloom, KeiraKnightley]</td>\n",
              "      <td>[GoreVerbinski]</td>\n",
              "      <td>[Captain, Barbossa,, long, believed, to, be, d...</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, send...</td>\n",
              "      <td>[Action, Adventure, Crime]</td>\n",
              "      <td>[spy, basedonnovel, secretagent, sequel, mi6, ...</td>\n",
              "      <td>[DanielCraig, ChristophWaltz, LéaSeydoux]</td>\n",
              "      <td>[SamMendes]</td>\n",
              "      <td>[A, cryptic, message, from, Bond’s, past, send...</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...</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",
              "      <td>[Following, the, death, of, District, Attorney...</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, mili...</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",
              "      <td>[John, Carter, is, a, war-weary,, former, mili...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1101c066-cedc-4bde-9ae1-3293f8bcc957')\"\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 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "\n",
              "\n",
              "\n",
              "    <div id=\"df-f439e4d4-c5bc-48de-b702-e2f2e89089ef\">\n",
              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-f439e4d4-c5bc-48de-b702-e2f2e89089ef')\"\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",
              "    </div>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\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-quickchart: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",
              "  [theme=dark] .colab-df-quickchart {\n",
              "    background-color: #3B4455;\n",
              "    fill: #D2E3FC;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart: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",
              "      async function quickchart(key) {\n",
              "        const containerElement = document.querySelector('#' + key);\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      }\n",
              "    </script>\n",
              "\n",
              "      <script>\n",
              "\n",
              "function displayQuickchartButton(domScope) {\n",
              "  let quickchartButtonEl =\n",
              "    domScope.querySelector('#df-f439e4d4-c5bc-48de-b702-e2f2e89089ef button.colab-df-quickchart');\n",
              "  quickchartButtonEl.style.display =\n",
              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "}\n",
              "\n",
              "        displayQuickchartButton(document);\n",
              "      </script>\n",
              "      <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\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",
              "    [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-1101c066-cedc-4bde-9ae1-3293f8bcc957 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-1101c066-cedc-4bde-9ae1-3293f8bcc957');\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",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 222
        }
      ],
      "source": [
        "movies.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 185,
      "id": "e9e56e6b",
      "metadata": {
        "id": "e9e56e6b"
      },
      "outputs": [],
      "source": [
        "movies['genres'] = movies['genres'].apply(lambda x: [i.replace(' ', '') for i in x])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 186,
      "id": "be56a67b",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "be56a67b",
        "outputId": "f87ab0da-31bb-4bf7-fdd7-df2545a8e7ba"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "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",
              "4804                       [Action, Crime, Thriller]\n",
              "4805                               [Comedy, Romance]\n",
              "4806               [Comedy, Drama, Romance, TVMovie]\n",
              "4807                                              []\n",
              "4808                                   [Documentary]\n",
              "Name: genres, Length: 4806, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 186
        }
      ],
      "source": [
        "movies['genres']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 187,
      "id": "9c09e1b4",
      "metadata": {
        "id": "9c09e1b4"
      },
      "outputs": [],
      "source": [
        "movies['keywords'] = movies['keywords'].apply(lambda x: [i.replace(' ', '') for i in x])\n",
        "movies['cast'] = movies['cast'].apply(lambda x: [i.replace(' ', '') for i in x])\n",
        "movies['crew'] = movies['crew'].apply(lambda x: [i.replace(' ', '') for i in x])\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 188,
      "id": "1153750e",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 337
        },
        "id": "1153750e",
        "outputId": "d7c16cec-ed7e-4ff3-c817-8611d0eba9ef"
      },
      "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, Marin...   \n",
              "1  [Captain, Barbossa,, long, believed, to, be, d...   \n",
              "2  [A, cryptic, message, from, Bond’s, past, send...   \n",
              "3  [Following, the, death, of, District, Attorney...   \n",
              "4  [John, Carter, is, a, war-weary,, former, mili...   \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]  "
            ],
            "text/html": [
              "\n",
              "\n",
              "  <div id=\"df-4b9e426e-15fb-49fe-9501-e41f2a13a01b\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>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, Marin...</td>\n",
              "      <td>[Action, Adventure, Fantasy, ScienceFiction]</td>\n",
              "      <td>[cultureclash, future, spacewar, spacecolony, ...</td>\n",
              "      <td>[SamWorthington, ZoeSaldana, SigourneyWeaver]</td>\n",
              "      <td>[JamesCameron]</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, d...</td>\n",
              "      <td>[Adventure, Fantasy, Action]</td>\n",
              "      <td>[ocean, drugabuse, exoticisland, eastindiatrad...</td>\n",
              "      <td>[JohnnyDepp, OrlandoBloom, KeiraKnightley]</td>\n",
              "      <td>[GoreVerbinski]</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, send...</td>\n",
              "      <td>[Action, Adventure, Crime]</td>\n",
              "      <td>[spy, basedonnovel, secretagent, sequel, mi6, ...</td>\n",
              "      <td>[DanielCraig, ChristophWaltz, LéaSeydoux]</td>\n",
              "      <td>[SamMendes]</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...</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, mili...</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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              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4b9e426e-15fb-49fe-9501-e41f2a13a01b')\"\n",
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              "              style=\"display:none;\">\n",
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              "\n",
              "\n",
              "\n",
              "    <div id=\"df-63d17a08-b9c6-4a2e-b24b-fce9d539eedb\">\n",
              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-63d17a08-b9c6-4a2e-b24b-fce9d539eedb')\"\n",
              "              title=\"Suggest charts.\"\n",
              "              style=\"display:none;\">\n",
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              "    </g>\n",
              "</svg>\n",
              "      </button>\n",
              "    </div>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\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-quickchart: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",
              "  [theme=dark] .colab-df-quickchart {\n",
              "    background-color: #3B4455;\n",
              "    fill: #D2E3FC;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart: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",
              "      async function quickchart(key) {\n",
              "        const containerElement = document.querySelector('#' + key);\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      }\n",
              "    </script>\n",
              "\n",
              "      <script>\n",
              "\n",
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              "  let quickchartButtonEl =\n",
              "    domScope.querySelector('#df-63d17a08-b9c6-4a2e-b24b-fce9d539eedb button.colab-df-quickchart');\n",
              "  quickchartButtonEl.style.display =\n",
              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "\n",
              "        displayQuickchartButton(document);\n",
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          "metadata": {},
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      "cell_type": "code",
      "execution_count": 220,
      "id": "64b3dfbf",
      "metadata": {
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      "outputs": [],
      "source": [
        "movies['tags'] = movies['overview'] + movies['genres'] + movies['keywords'] + movies['cast'] + movies['crew']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 221,
      "id": "b4d553d7",
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              "   movie_id                                     title  \\\n",
              "0     19995                                    Avatar   \n",
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              "2    206647                                   Spectre   \n",
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              "                                            cast                crew  \\\n",
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      "cell_type": "code",
      "execution_count": 191,
      "id": "d433d1e9",
      "metadata": {
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        "new_df = movies[['movie_id', 'title', 'tags']]"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "new_df"
      ],
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              "      movie_id                                     title  \\\n",
              "0        19995                                    Avatar   \n",
              "1          285  Pirates of the Caribbean: At World's End   \n",
              "2       206647                                   Spectre   \n",
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              "4807    126186                          Shanghai Calling   \n",
              "4808     25975                         My Date with Drew   \n",
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              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4804</th>\n",
              "      <td>9367</td>\n",
              "      <td>El Mariachi</td>\n",
              "      <td>el mariachi just want to play hi guitar and ca...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4805</th>\n",
              "      <td>72766</td>\n",
              "      <td>Newlyweds</td>\n",
              "      <td>a newlyw couple' honeymoon is upend by the arr...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4806</th>\n",
              "      <td>231617</td>\n",
              "      <td>Signed, Sealed, Delivered</td>\n",
              "      <td>\"signed, sealed, delivered\" introduc a dedic q...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4807</th>\n",
              "      <td>126186</td>\n",
              "      <td>Shanghai Calling</td>\n",
              "      <td>when ambiti new york attorney sam is sent to s...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4808</th>\n",
              "      <td>25975</td>\n",
              "      <td>My Date with Drew</td>\n",
              "      <td>ever sinc the second grade when he first saw h...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>4806 rows × 3 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2b33f608-e0b5-414d-9ab1-46c43ce3a41c')\"\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 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
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              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-b8619415-2a5c-49fa-835b-4f5eec5fec16')\"\n",
              "              title=\"Suggest charts.\"\n",
              "              style=\"display:none;\">\n",
              "\n",
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              "    </g>\n",
              "</svg>\n",
              "      </button>\n",
              "    </div>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\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-quickchart: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",
              "  [theme=dark] .colab-df-quickchart {\n",
              "    background-color: #3B4455;\n",
              "    fill: #D2E3FC;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart: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",
              "      async function quickchart(key) {\n",
              "        const containerElement = document.querySelector('#' + key);\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      }\n",
              "    </script>\n",
              "\n",
              "      <script>\n",
              "\n",
              "function displayQuickchartButton(domScope) {\n",
              "  let quickchartButtonEl =\n",
              "    domScope.querySelector('#df-b8619415-2a5c-49fa-835b-4f5eec5fec16 button.colab-df-quickchart');\n",
              "  quickchartButtonEl.style.display =\n",
              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "}\n",
              "\n",
              "        displayQuickchartButton(document);\n",
              "      </script>\n",
              "      <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\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",
              "    [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-2b33f608-e0b5-414d-9ab1-46c43ce3a41c 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-2b33f608-e0b5-414d-9ab1-46c43ce3a41c');\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",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 223
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<google.colab._quickchart_helpers.SectionTitle at 0x7b1917a81ff0>"
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            "text/html": [
              "<h4 class=\"colab-quickchart-section-title\">Values</h4>\n",
              "<style>\n",
              "  .colab-quickchart-section-title {\n",
              "      clear: both;\n",
              "  }\n",
              "</style>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "import numpy as np\n",
              "from google.colab import autoviz\n",
              "df_5158476676658450006 = autoviz.get_df('df_5158476676658450006')\n",
              "\n",
              "def value_plot(df, y, sort_ascending=False, figsize=(2, 1)):\n",
              "  from matplotlib import pyplot as plt\n",
              "  if sort_ascending:\n",
              "    df = df.sort_values(y).reset_index(drop=True)\n",
              "  _, ax = plt.subplots(figsize=figsize)\n",
              "  df[y].plot(kind='line')\n",
              "  plt.title(y)\n",
              "  ax.spines[['top', 'right',]].set_visible(False)\n",
              "  plt.tight_layout()\n",
              "  return autoviz.MplChart.from_current_mpl_state()\n",
              "\n",
              "chart = value_plot(df_5158476676658450006, *['movie_id'], **{})\n",
              "chart"
            ],
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              "hGBMhBOCMRFOCMZE/h8RKQXDJXgp3AAAAABJRU5ErkJggg==\n",
              "\">\n",
              "        \n",
              "      </div>\n",
              "      <script></script>\n",
              "      <script type=\"text/javascript\">\n",
              "        (() => {\n",
              "          const chartElement = document.getElementById(\"chart-27ccf127-2073-4aae-aa73-bd578cf9fe56\");\n",
              "          async function getCodeForChartHandler(event) {\n",
              "            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n",
              "                'getCodeForChart', [\"chart-27ccf127-2073-4aae-aa73-bd578cf9fe56\"], {});\n",
              "            const responseJson = chartCodeResponse.data['application/json'];\n",
              "            await google.colab.notebook.addCell(responseJson.code, 'code');\n",
              "          }\n",
              "          chartElement.onclick = getCodeForChartHandler;\n",
              "        })();\n",
              "      </script>\n",
              "      <style>\n",
              "        .colab-quickchart-chart-with-code  {\n",
              "            display: block;\n",
              "            float: left;\n",
              "            border: 1px solid transparent;\n",
              "        }\n",
              "\n",
              "        .colab-quickchart-chart-with-code:hover {\n",
              "            cursor: pointer;\n",
              "            border: 1px solid #aaa;\n",
              "        }\n",
              "      </style>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<google.colab._quickchart_helpers.SectionTitle at 0x7b1917aa94e0>"
            ],
            "text/html": [
              "<h4 class=\"colab-quickchart-section-title\">Distributions</h4>\n",
              "<style>\n",
              "  .colab-quickchart-section-title {\n",
              "      clear: both;\n",
              "  }\n",
              "</style>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "import numpy as np\n",
              "from google.colab import autoviz\n",
              "df_7673623774378093675 = autoviz.get_df('df_7673623774378093675')\n",
              "\n",
              "def histogram(df, colname, num_bins=20, figsize=(2, 1)):\n",
              "  from matplotlib import pyplot as plt\n",
              "  _, ax = plt.subplots(figsize=figsize)\n",
              "  plt.hist(df[colname], bins=num_bins, histtype='stepfilled')\n",
              "  plt.ylabel('count')\n",
              "  plt.title(colname)\n",
              "  ax.spines[['top', 'right',]].set_visible(False)\n",
              "  plt.tight_layout()\n",
              "  return autoviz.MplChart.from_current_mpl_state()\n",
              "\n",
              "chart = histogram(df_7673623774378093675, *['movie_id'], **{})\n",
              "chart"
            ],
            "text/html": [
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              "4HAwJuJ/JLsspkhdd4cAAAAASUVORK5CYII=\n",
              "\">\n",
              "        \n",
              "      </div>\n",
              "      <script></script>\n",
              "      <script type=\"text/javascript\">\n",
              "        (() => {\n",
              "          const chartElement = document.getElementById(\"chart-de0dbb0f-2fc1-4cb5-9898-d260c91f0a62\");\n",
              "          async function getCodeForChartHandler(event) {\n",
              "            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n",
              "                'getCodeForChart', [\"chart-de0dbb0f-2fc1-4cb5-9898-d260c91f0a62\"], {});\n",
              "            const responseJson = chartCodeResponse.data['application/json'];\n",
              "            await google.colab.notebook.addCell(responseJson.code, 'code');\n",
              "          }\n",
              "          chartElement.onclick = getCodeForChartHandler;\n",
              "        })();\n",
              "      </script>\n",
              "      <style>\n",
              "        .colab-quickchart-chart-with-code  {\n",
              "            display: block;\n",
              "            float: left;\n",
              "            border: 1px solid transparent;\n",
              "        }\n",
              "\n",
              "        .colab-quickchart-chart-with-code:hover {\n",
              "            cursor: pointer;\n",
              "            border: 1px solid #aaa;\n",
              "        }\n",
              "      </style>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 219,
      "id": "8c83c7b9",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "8c83c7b9",
        "outputId": "0bf01023-6811-4d2b-e069-abbda743c18e"
      },
      "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 parapleg marin is dispa...  \n",
              "1  captain barbossa, long believ to be dead, ha c...  \n",
              "2  a cryptic messag from bond’ past send him on a...  \n",
              "3  follow the death of district attorney harvey d...  \n",
              "4  john carter is a war-weary, former militari ca...  "
            ],
            "text/html": [
              "\n",
              "\n",
              "  <div id=\"df-85529760-68b8-4bc7-ab6e-6c34ef2cd759\">\n",
              "    <div 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>tags</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 parapleg marin is dispa...</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 believ to be dead, ha c...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>206647</td>\n",
              "      <td>Spectre</td>\n",
              "      <td>a cryptic messag from bond’ past send him on a...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>49026</td>\n",
              "      <td>The Dark Knight Rises</td>\n",
              "      <td>follow the death of district attorney harvey d...</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 militari ca...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-85529760-68b8-4bc7-ab6e-6c34ef2cd759')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "\n",
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              "\n",
              "\n",
              "\n",
              "    <div id=\"df-c1e12360-7f7f-4d7f-8a32-8dc4926c8a17\">\n",
              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-c1e12360-7f7f-4d7f-8a32-8dc4926c8a17')\"\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",
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              "    </g>\n",
              "</svg>\n",
              "      </button>\n",
              "    </div>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\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-quickchart: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",
              "  [theme=dark] .colab-df-quickchart {\n",
              "    background-color: #3B4455;\n",
              "    fill: #D2E3FC;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart: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",
              "      async function quickchart(key) {\n",
              "        const containerElement = document.querySelector('#' + key);\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      }\n",
              "    </script>\n",
              "\n",
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              "\n",
              "function displayQuickchartButton(domScope) {\n",
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              "\n",
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              "      background-color: #E8F0FE;\n",
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              "      height: 32px;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\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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              "\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-85529760-68b8-4bc7-ab6e-6c34ef2cd759');\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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              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 219
        }
      ],
      "source": [
        "new_df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 193,
      "id": "30bd25f6",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "30bd25f6",
        "outputId": "3a5babf2-e4cc-4974-9241-b89792f76844"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-193-ad44e9ca1347>:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  new_df['tags'] = new_df['tags'].apply(lambda x:\" \".join(x))\n"
          ]
        }
      ],
      "source": [
        "new_df['tags'] = new_df['tags'].apply(lambda x:\" \".join(x))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 194,
      "id": "684ccec2",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "684ccec2",
        "outputId": "0c4bd1a2-6f6f-4b36-8e11-203fedd1b14f"
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        {
          "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",
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              "      fill: #174EA6;\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",
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              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-bb9adea1-9543-46e5-8693-dce47d895375 button.colab-df-convert');\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "            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",
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              "      </script>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 194
        }
      ],
      "source": [
        "new_df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 195,
      "id": "10236b25",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 105
        },
        "id": "10236b25",
        "outputId": "e36ce2c0-dfc9-467a-e64b-f365a0438517"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "\"Following the death of District Attorney Harvey Dent, Batman assumes responsibility for Dent's crimes to protect the late attorney's reputation and is subsequently hunted by the Gotham City Police Department. Eight years later, Batman encounters the mysterious Selina Kyle and the villainous Bane, a new terrorist leader who overwhelms Gotham's finest. The Dark Knight resurfaces to protect a city that has branded him an enemy. Action Crime Drama Thriller dccomics crimefighter terrorist secretidentity burglar hostagedrama timebomb gothamcity vigilante cover-up superhero villainess tragichero terrorism destruction catwoman catburglar imax flood criminalunderworld batman ChristianBale MichaelCaine GaryOldman ChristopherNolan\""
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 195
        }
      ],
      "source": [
        "new_df['tags'][3]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 196,
      "id": "35777a9e",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "35777a9e",
        "outputId": "a4776faf-25f1-4e02-8a47-18c861f9cb52"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-196-8b60b591a07f>:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  new_df['tags'] = new_df['tags'].apply(lambda x:x.lower())\n"
          ]
        }
      ],
      "source": [
        "new_df['tags'] = new_df['tags'].apply(lambda x:x.lower())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 197,
      "id": "221d3f38",
      "metadata": {
        "scrolled": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "221d3f38",
        "outputId": "b46cdb74-9916-4c49-a4e6-4109bcb3a009"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "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",
              "Name: tags, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 197
        }
      ],
      "source": [
        "new_df['tags'].head()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "bfa5817a",
      "metadata": {
        "id": "bfa5817a"
      },
      "source": [
        "### Stemming"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 198,
      "id": "24804493",
      "metadata": {
        "id": "24804493"
      },
      "outputs": [],
      "source": [
        "# we need stemming as there are many words which are nearly duplicate, like bear, bears or\n",
        "# 'approach', 'approaches', 'approaching'\n",
        "\n",
        "from nltk.stem.porter import PorterStemmer\n",
        "ps = PorterStemmer()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 199,
      "id": "688906f7",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "688906f7",
        "outputId": "828dc6d5-59a5-42c2-be92-98d07937a617"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "approach\n",
            "approach\n",
            "approach\n",
            "bestfriendsinlov\n",
            "blackmail\n",
            "blackpeopl\n",
            "blackmag\n",
            "blacksmith\n",
            "basedoncomicbook\n",
            "basedongraphicnovel\n",
            "basedonnovel\n",
            "basedontruestori\n",
            "basedontvseri\n",
            "basedontrueev\n",
            "basedonstagemus\n",
            "basedonvideogam\n"
          ]
        }
      ],
      "source": [
        "print(ps.stem('approaching'))\n",
        "print(ps.stem('approached'))\n",
        "print(ps.stem('approaches'))\n",
        "print(ps.stem('bestfriendsinlove'))\n",
        "\n",
        "print(ps.stem('blackmail'))\n",
        "print(ps.stem('blackpeople'))\n",
        "print(ps.stem('blackmagic'))\n",
        "print(ps.stem('blacksmith'))\n",
        "\n",
        "print(ps.stem('basedoncomicbook'))\n",
        "print(ps.stem('basedongraphicnovel'))\n",
        "print(ps.stem('basedonnovel'))\n",
        "print(ps.stem('basedontruestory'))\n",
        "print(ps.stem('basedontvseries'))\n",
        "print(ps.stem('basedontrueevents'))\n",
        "print(ps.stem('basedonstagemusical'))\n",
        "print(ps.stem('basedonvideogame'))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 200,
      "id": "d8e86aad",
      "metadata": {
        "id": "d8e86aad"
      },
      "outputs": [],
      "source": [
        "def stem(text):\n",
        "    list = []\n",
        "    for i in text.split():\n",
        "        list.append(ps.stem(i))\n",
        "    return \" \".join(list)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 201,
      "id": "782a5f68",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 88
        },
        "id": "782a5f68",
        "outputId": "9f251bd8-63ec-4c34-a04f-7567919e3267"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "\"follow the death of district attorney harvey dent, batman assum respons for dent' crime to protect the late attorney' reput and is subsequ hunt by the gotham citi polic department. eight year later, batman encount the mysteri selina kyle and the villain bane, a new terrorist leader who overwhelm gotham' finest. the dark knight resurfac to protect a citi that ha brand him an enemy. action crime drama thriller dccomic crimefight terrorist secretident burglar hostagedrama timebomb gothamc vigilant cover-up superhero villai tragichero terror destruct catwoman catburglar imax flood criminalunderworld batman christianbal michaelcain garyoldman christophernolan\""
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 201
        }
      ],
      "source": [
        "stem(\"Following the death of District Attorney Harvey Dent, Batman assumes responsibility for Dent's crimes to protect the late attorney's reputation and is subsequently hunted by the Gotham City Police Department. Eight years later, Batman encounters the mysterious Selina Kyle and the villainous Bane, a new terrorist leader who overwhelms Gotham's finest. The Dark Knight resurfaces to protect a city that has branded him an enemy. Action Crime Drama Thriller dccomics crimefighter terrorist secretidentity burglar hostagedrama timebomb gothamcity vigilante cover-up superhero villainess tragichero terrorism destruction catwoman catburglar imax flood criminalunderworld batman ChristianBale MichaelCaine GaryOldman ChristopherNolan\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 202,
      "id": "ce34a34d",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ce34a34d",
        "outputId": "7a0b59ee-92b5-4b29-c71b-ad50806cf8c1"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-202-be18a4346d89>:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  new_df['tags'] = new_df['tags'].apply(stem)\n"
          ]
        }
      ],
      "source": [
        "new_df['tags'] = new_df['tags'].apply(stem)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 203,
      "id": "400ad518",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 88
        },
        "id": "400ad518",
        "outputId": "792472e5-2991-40ee-9f55-8caaefcc442d"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "\"follow the death of district attorney harvey dent, batman assum respons for dent' crime to protect the late attorney' reput and is subsequ hunt by the gotham citi polic department. eight year later, batman encount the mysteri selina kyle and the villain bane, a new terrorist leader who overwhelm gotham' finest. the dark knight resurfac to protect a citi that ha brand him an enemy. action crime drama thriller dccomic crimefight terrorist secretident burglar hostagedrama timebomb gothamc vigilant cover-up superhero villai tragichero terror destruct catwoman catburglar imax flood criminalunderworld batman christianbal michaelcain garyoldman christophernolan\""
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 203
        }
      ],
      "source": [
        "new_df['tags'][3]"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "b73d846d",
      "metadata": {
        "id": "b73d846d"
      },
      "source": [
        "### Text vectorization\n",
        "\n",
        "- Similarity depends on text similarity\n",
        "- Convert the text into vector\n",
        "- We can use Tfidf vectorizer, bag of words(frequency based)\n",
        "- We are going to use count vectorizer of 5000 words for every movie row\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 204,
      "id": "28d5eb7c",
      "metadata": {
        "id": "28d5eb7c"
      },
      "outputs": [],
      "source": [
        "from sklearn.feature_extraction.text import CountVectorizer\n",
        "cv = CountVectorizer(max_features= 5000, stop_words= 'english')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 205,
      "id": "f9e3bbea",
      "metadata": {
        "id": "f9e3bbea"
      },
      "outputs": [],
      "source": [
        "vectors = cv.fit_transform(new_df['tags']).toarray()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 206,
      "id": "d84805a5",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "d84805a5",
        "outputId": "d55af53e-9040-460f-c4e8-31d0546b70e9"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(4806, 5000)"
            ]
          },
          "metadata": {},
          "execution_count": 206
        }
      ],
      "source": [
        "vectors.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 207,
      "id": "d6aa5bbc",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "d6aa5bbc",
        "outputId": "e99967e3-d2a6-42e1-a8be-06c36e933104"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 0, 0, ..., 0, 0, 0])"
            ]
          },
          "metadata": {},
          "execution_count": 207
        }
      ],
      "source": [
        "vectors[3]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 208,
      "id": "260d559a",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "260d559a",
        "outputId": "62f4af1f-a835-4994-9a3c-e73763614984"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['000', '007', '10', '100', '11', '12', '13', '14', '15', '16',\n",
              "       '17', '17th', '18', '18th', '18thcenturi', '19', '1910', '1920',\n",
              "       '1930', '1940', '1944', '1950', '1950s', '1960', '1960s', '1970',\n",
              "       '1970s', '1971', '1974', '1976', '1980', '1985', '1990', '1999',\n",
              "       '19th', '19thcenturi', '20', '200', '2003', '2009', '20th', '21st',\n",
              "       '23', '24', '25', '30', '300', '3d', '40', '50', '500', '60', '70',\n",
              "       '80', 'aaron', 'aaroneckhart', 'abandon', 'abduct',\n",
              "       'abigailbreslin', 'abil', 'abl', 'aboard', 'abov', 'abus',\n",
              "       'academ', 'academi', 'accept', 'access', 'accid', 'accident',\n",
              "       'acclaim', 'accompani', 'accomplish', 'account', 'accus', 'ace',\n",
              "       'achiev', 'acquaint', 'act', 'action', 'actionhero', 'activ',\n",
              "       'activist', 'activities', 'actor', 'actress', 'actual', 'ad',\n",
              "       'adam', 'adamsandl', 'adamshankman', 'adapt', 'add', 'addict',\n",
              "       'adjust', 'admir', 'admit', 'adolesc', 'adopt', 'ador',\n",
              "       'adrienbrodi', 'adult', 'adultanim', 'adulteri', 'adulthood',\n",
              "       'advanc', 'adventur', 'adventure', 'adventures', 'advertis',\n",
              "       'advic', 'advis', 'affair', 'affect', 'afghanistan', 'africa',\n",
              "       'african', 'africanamerican', 'aftercreditssting', 'afterlif',\n",
              "       'aftermath', 'ag', 'age', 'agediffer', 'agenc', 'agency', 'agenda',\n",
              "       'agent', 'agents', 'aggress', 'ago', 'agre', 'ahead', 'aid',\n",
              "       'aidanquinn', 'ail', 'aim', 'air', 'airplan', 'airplanecrash',\n",
              "       'airport', 'aka', 'al', 'alabama', 'alan', 'alaska', 'albert',\n",
              "       'alcatraz', 'alcohol', 'alecbaldwin', 'alex', 'alexkendrick',\n",
              "       'alfredhitchcock', 'alfredmolina', 'ali', 'alic', 'alice', 'alien',\n",
              "       'alieninvas', 'alienlife', 'alienplanet', 'aliens', 'alik', 'aliv',\n",
              "       'alive', 'allen', 'alli', 'allianc', 'allow', 'alon', 'alongsid',\n",
              "       'alpacino', 'alpha', 'alreadi', 'alter', 'altern', 'alway',\n",
              "       'alyssa', 'alzheimer', 'amanda', 'amandapeet', 'amandaseyfri',\n",
              "       'amateur', 'amaz', 'amazon', 'ambassador', 'ambit', 'ambiti',\n",
              "       'ambul', 'ambush', 'america', 'american', 'americanabroad',\n",
              "       'americancivilwar', 'americanfootbal', 'americanfootballplay',\n",
              "       'amid', 'amidst', 'amnesia', 'amp', 'amsterdam', 'amus',\n",
              "       'amusementpark', 'amy', 'amyadam', 'amysmart', 'ana', 'anakin',\n",
              "       'analyst', 'anarchiccomedi', 'ancient', 'ancientrom',\n",
              "       'ancientworld', 'anderson', 'andi', 'andiemacdowel', 'andrew',\n",
              "       'android', 'andy', 'andygarcía', 'angel', 'angela',\n",
              "       'angelabassett', 'angeles', 'angelinajoli', 'anger', 'angle',\n",
              "       'angri', 'ani', 'anim', 'animalattack', 'animalhorror', 'animals',\n",
              "       'anjelicahuston', 'ann', 'anna', 'annafari', 'annakendrick',\n",
              "       'anne', 'annehathaway', 'annemoss', 'annetteben', 'anni', 'annie',\n",
              "       'anniversari', 'announc', 'annual', 'anonym', 'anoth', 'answer',\n",
              "       'ant', 'antholog', 'anthoni', 'anthonyanderson', 'anthonyhopkin',\n",
              "       'anthropomorph', 'anti', 'antic', 'antihero', 'antiqu',\n",
              "       'antoinefuqua', 'antoniobandera', 'antonyelchin', 'anyon', 'anyth',\n",
              "       'apart', 'apartheid', 'apartment', 'ape', 'apocalyps',\n",
              "       'apocalypse', 'apocalypt', 'appar', 'appear', 'appl', 'apple',\n",
              "       'appoint', 'appreci', 'apprentic', 'approach', 'april', 'aquarium',\n",
              "       'arab', 'arch', 'archaeologist', 'archeolog', 'archer',\n",
              "       'architect', 'arctic', 'area', 'aren', 'arena', 'argument', 'aris',\n",
              "       'aristocrat', 'arm', 'armi', 'armor', 'armsdeal', 'army', 'arnold',\n",
              "       'arnoldschwarzenegg', 'arrang', 'arrangedmarriag', 'arrest',\n",
              "       'arriv', 'arrog', 'art', 'arthur', 'artifact', 'artifici',\n",
              "       'artificialintellig', 'artist', 'ash', 'ashley', 'ashleyjudd',\n",
              "       'ashtonkutch', 'asia', 'asian', 'asid', 'ask', 'aspect', 'aspir',\n",
              "       'assassin', 'assault', 'assembl', 'assign', 'assist', 'assistant',\n",
              "       'associ', 'assum', 'asteroid', 'astronaut', 'asylum', 'atheist',\n",
              "       'athlet', 'atom', 'atomicbomb', 'attack', 'attacks', 'attempt',\n",
              "       'attend', 'attent', 'attic', 'attitud', 'attorney', 'attract',\n",
              "       'auction', 'audienc', 'audit', 'august', 'aunt', 'austin',\n",
              "       'australia', 'australian', 'author', 'autism', 'auto',\n",
              "       'automobilerac', 'aveng', 'averag', 'avoid', 'await', 'awak',\n",
              "       'awaken', 'awar', 'award', 'away', 'awkward', 'awri', 'awry', 'ax',\n",
              "       'babe', 'babi', 'baby', 'bachelor', 'backdrop', 'background',\n",
              "       'backpack', 'bad', 'bag', 'bahama', 'bail', 'balanc', 'ball',\n",
              "       'ballet', 'balloon', 'baltimor', 'ban', 'band', 'bandit',\n",
              "       'bangkok', 'banish', 'bank', 'banker', 'bankrobb', 'bankrobberi',\n",
              "       'bar', 'barbrastreisand', 'bare', 'bargain', 'barn', 'barney',\n",
              "       'baron', 'barri', 'barrylevinson', 'barrysonnenfeld', 'bas',\n",
              "       'base', 'basebal', 'basedoncomicbook', 'basedongraphicnovel',\n",
              "       'basedonnovel', 'basedonplay', 'basedonstagemus', 'basedontrueev',\n",
              "       'basedontruestori', 'basedontvseri', 'basedonvideogam',\n",
              "       'basedonyoungadultnovel', 'basement', 'basketbal', 'basketball',\n",
              "       'bat', 'batman', 'battl', 'battle', 'battlefield', 'bay', 'beach',\n",
              "       'beam', 'bear', 'beard', 'beast', 'beat', 'beauti', 'beautiful',\n",
              "       'beautifulwoman', 'beauty', 'becam', 'becaus', 'becki', 'becom',\n",
              "       'becominganadult', 'bed', 'bedroom', 'bee', 'beer', 'befor',\n",
              "       'befriend', 'began', 'begin', 'begins', 'behavior', 'belief',\n",
              "       'believ', 'bell', 'bella', 'belong', 'belov', 'ben', 'benaffleck',\n",
              "       'bend', 'beneath', 'benefit', 'benfost', 'beniciodeltoro',\n",
              "       'benjamin', 'benjaminbratt', 'benkingsley', 'bennett', 'benstil',\n",
              "       'bent', 'berlin', 'best', 'bestfriend', 'bestfriendsinlov', 'bet',\n",
              "       'beth', 'betray', 'bettemidl', 'better', 'betti', 'beverli',\n",
              "       'bibl', 'bid', 'big', 'bigger', 'biggest', 'bike', 'biker',\n",
              "       'bikini', 'billhad', 'billi', 'billionair', 'billmurray',\n",
              "       'billnighi', 'billpaxton', 'billpullman', 'billybobthornton'],\n",
              "      dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 208
        }
      ],
      "source": [
        "var = cv.get_feature_names_out()\n",
        "var[:500]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 209,
      "id": "7e80bc86",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7e80bc86",
        "outputId": "9fa804ee-3749-412b-f592-878861d1893b"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(4806, 5000)"
            ]
          },
          "metadata": {},
          "execution_count": 209
        }
      ],
      "source": [
        "vectors.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 210,
      "id": "07720f6c",
      "metadata": {
        "id": "07720f6c"
      },
      "outputs": [],
      "source": [
        "# now we have to calculate cosine distance (angle between two vectors)\n",
        "# distance is inversly proportional to similarity\n",
        "\n",
        "from sklearn.metrics.pairwise import cosine_similarity\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 211,
      "id": "e6c24897",
      "metadata": {
        "id": "e6c24897"
      },
      "outputs": [],
      "source": [
        "similarity = cosine_similarity(vectors)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 212,
      "id": "6d1c0b2f",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6d1c0b2f",
        "outputId": "5162b88d-09c8-4532-8436-106aa1c2a5a3"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1.        , 0.08346223, 0.0860309 , ..., 0.04499213, 0.        ,\n",
              "       0.        ])"
            ]
          },
          "metadata": {},
          "execution_count": 212
        }
      ],
      "source": [
        "similarity[0]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 213,
      "id": "cb19b501",
      "metadata": {
        "id": "cb19b501"
      },
      "outputs": [],
      "source": [
        "def recommend(movie):\n",
        "  movie_index = new_df[new_df['title'] == movie].index[0]\n",
        "  distances = similarity[movie_index]\n",
        "  movies_list = sorted(list(enumerate(distances)), reverse = True, key = lambda x: x[1])[1:6]\n",
        "\n",
        "  for i in movies_list:\n",
        "    print(new_df.iloc[i[0]].title)\n",
        "  return movies_list"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 214,
      "id": "1a8b8725",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1a8b8725",
        "outputId": "7c839409-74f7-4eb2-d16b-7a3b57c7bb07"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[(65, 0.42256142372325745),\n",
              " (428, 0.3247027084163318),\n",
              " (1363, 0.3202563076101742),\n",
              " (299, 0.3181582090733562),\n",
              " (119, 0.3177444546511212)]"
            ]
          },
          "metadata": {},
          "execution_count": 214
        }
      ],
      "source": [
        "sorted(list(enumerate(similarity[3])), reverse = True, key = lambda x: x[1])[1:6]\n",
        "\n",
        "# using enumerate to keep index within list"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 215,
      "id": "7dc361c3",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7dc361c3",
        "outputId": "93a8ff68-65f1-43ee-b223-4f35ba9f702c"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The Dark Knight\n",
            "Batman Returns\n",
            "Batman\n",
            "Batman Forever\n",
            "Batman Begins\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[(65, 0.42256142372325745),\n",
              " (428, 0.3247027084163318),\n",
              " (1363, 0.3202563076101742),\n",
              " (299, 0.3181582090733562),\n",
              " (119, 0.3177444546511212)]"
            ]
          },
          "metadata": {},
          "execution_count": 215
        }
      ],
      "source": [
        "recommend('The Dark Knight Rises')"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pickle\n"
      ],
      "metadata": {
        "id": "v1cgtnv2x-YS"
      },
      "id": "v1cgtnv2x-YS",
      "execution_count": 216,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pickle.dump(new_df, open('movies.pkl', 'wb'))"
      ],
      "metadata": {
        "id": "AZEqjq0i0akL"
      },
      "id": "AZEqjq0i0akL",
      "execution_count": 217,
      "outputs": []
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3 (ipykernel)",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.10.9"
    },
    "colab": {
      "provenance": []
    }
  },
  "nbformat": 4,
  "nbformat_minor": 5
}