anime_recommender_system.ipynb

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  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "anime_recommender_system.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# Content Based Filtering"
      ],
      "metadata": {
        "id": "r9ytBqrfyvvZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "from sklearn.feature_extraction.text import CountVectorizer\n",
        "from sklearn.metrics.pairwise import cosine_similarity"
      ],
      "metadata": {
        "id": "abpftH7cyvPx"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Make a sample dataframe"
      ],
      "metadata": {
        "id": "hWifZmipzKTx"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.DataFrame({'title':['A','B','C','D','E','F','G','H','I','J'],\n",
        "                   'genre':['comedy','horror','action','comedy','horror','action','comedy','horror','action','comedy'],\n",
        "                   'label':['PT. A', 'PT. A', 'PT. B', 'PT. B', 'PT. B', 'PT. A', 'PT. A', 'PT. B', 'PT. B', 'PT. A']})\n",
        "\n",
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 363
        },
        "id": "c_UO6Uqsy-Zc",
        "outputId": "099dc3e7-9abd-4e0d-904a-25a062b1c972"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  title   genre  label\n",
              "0     A  comedy  PT. A\n",
              "1     B  horror  PT. A\n",
              "2     C  action  PT. B\n",
              "3     D  comedy  PT. B\n",
              "4     E  horror  PT. B\n",
              "5     F  action  PT. A\n",
              "6     G  comedy  PT. A\n",
              "7     H  horror  PT. B\n",
              "8     I  action  PT. B\n",
              "9     J  comedy  PT. A"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-20aebe2e-13fd-4f87-9e4c-57a19da8dad8\">\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>title</th>\n",
              "      <th>genre</th>\n",
              "      <th>label</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>A</td>\n",
              "      <td>comedy</td>\n",
              "      <td>PT. A</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>B</td>\n",
              "      <td>horror</td>\n",
              "      <td>PT. A</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>C</td>\n",
              "      <td>action</td>\n",
              "      <td>PT. B</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>D</td>\n",
              "      <td>comedy</td>\n",
              "      <td>PT. B</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>E</td>\n",
              "      <td>horror</td>\n",
              "      <td>PT. B</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>F</td>\n",
              "      <td>action</td>\n",
              "      <td>PT. A</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>G</td>\n",
              "      <td>comedy</td>\n",
              "      <td>PT. A</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>H</td>\n",
              "      <td>horror</td>\n",
              "      <td>PT. B</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>I</td>\n",
              "      <td>action</td>\n",
              "      <td>PT. B</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>J</td>\n",
              "      <td>comedy</td>\n",
              "      <td>PT. A</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-20aebe2e-13fd-4f87-9e4c-57a19da8dad8')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
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              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "      border-radius: 50%;\n",
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              "      fill: #1967D2;\n",
              "      height: 32px;\n",
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              "      fill: #174EA6;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
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              "      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-20aebe2e-13fd-4f87-9e4c-57a19da8dad8 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-20aebe2e-13fd-4f87-9e4c-57a19da8dad8');\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",
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              "          element.appendChild(docLink);\n",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cv = CountVectorizer()\n",
        "mat_genre = cv.fit_transform(df['genre'])\n",
        "mat_genre"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "av_PjMiy0AN1",
        "outputId": "be651829-2e5d-4917-c381-8804cdfc2424"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<10x3 sparse matrix of type '<class 'numpy.int64'>'\n",
              "\twith 10 stored elements in Compressed Sparse Row format>"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(mat_genre)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Eulh6vJA0Nla",
        "outputId": "21ac80d9-95bb-40f9-a69e-a152f2e8b6f8"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "  (0, 1)\t1\n",
            "  (1, 2)\t1\n",
            "  (2, 0)\t1\n",
            "  (3, 1)\t1\n",
            "  (4, 2)\t1\n",
            "  (5, 0)\t1\n",
            "  (6, 1)\t1\n",
            "  (7, 2)\t1\n",
            "  (8, 0)\t1\n",
            "  (9, 1)\t1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "mat_genre.toarray()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "U-tLwWCn0QA5",
        "outputId": "9657b5ed-c324-44b1-c086-fc0afede7c2c"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[0, 1, 0],\n",
              "       [0, 0, 1],\n",
              "       [1, 0, 0],\n",
              "       [0, 1, 0],\n",
              "       [0, 0, 1],\n",
              "       [1, 0, 0],\n",
              "       [0, 1, 0],\n",
              "       [0, 0, 1],\n",
              "       [1, 0, 0],\n",
              "       [0, 1, 0]])"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cv.get_feature_names()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RFRjoU7Z0cCK",
        "outputId": "913fc1b6-8b5c-4d67-a482-23d6663a7981"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
            "  warnings.warn(msg, category=FutureWarning)\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['action', 'comedy', 'horror']"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "co_score = cosine_similarity(mat_genre)\n",
        "co_score"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RAsnb92w0ffy",
        "outputId": "4d5a7049-01b4-4e66-911e-1e92b34f262b"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[1., 0., 0., 1., 0., 0., 1., 0., 0., 1.],\n",
              "       [0., 1., 0., 0., 1., 0., 0., 1., 0., 0.],\n",
              "       [0., 0., 1., 0., 0., 1., 0., 0., 1., 0.],\n",
              "       [1., 0., 0., 1., 0., 0., 1., 0., 0., 1.],\n",
              "       [0., 1., 0., 0., 1., 0., 0., 1., 0., 0.],\n",
              "       [0., 0., 1., 0., 0., 1., 0., 0., 1., 0.],\n",
              "       [1., 0., 0., 1., 0., 0., 1., 0., 0., 1.],\n",
              "       [0., 1., 0., 0., 1., 0., 0., 1., 0., 0.],\n",
              "       [0., 0., 1., 0., 0., 1., 0., 0., 1., 0.],\n",
              "       [1., 0., 0., 1., 0., 0., 1., 0., 0., 1.]])"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import seaborn as sns\n",
        "sns.heatmap(co_score)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 287
        },
        "id": "HxR_SplM0sFo",
        "outputId": "e3da66b7-a77e-47ad-c0b6-e409197d41fa"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f63af226810>"
            ]
          },
          "metadata": {},
          "execution_count": 10
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "similar_products = list(enumerate(co_score[0]))\n",
        "similar_products"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FIFTW6wk09rg",
        "outputId": "cfe4db04-1e61-4dd4-e8f6-75b1cca1c63e"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[(0, 1.0),\n",
              " (1, 0.0),\n",
              " (2, 0.0),\n",
              " (3, 1.0),\n",
              " (4, 0.0),\n",
              " (5, 0.0),\n",
              " (6, 1.0),\n",
              " (7, 0.0),\n",
              " (8, 0.0),\n",
              " (9, 1.0)]"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "similar_products = sorted(similar_products, key=lambda x: x[1], reverse=True)\n",
        "similar_products[:3]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LscqP4-k1HyG",
        "outputId": "f006cb04-5cd1-4403-c784-9b96ea027865"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[(0, 1.0), (3, 1.0), (6, 1.0)]"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "for i in similar_products[:3]:\n",
        "    print(df.iloc[i[0]])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "V2DCFMaj1Tfb",
        "outputId": "0bc25a67-303c-47d8-e6ff-c23cc75f9068"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "title         A\n",
            "genre    comedy\n",
            "label     PT. A\n",
            "Name: 0, dtype: object\n",
            "title         D\n",
            "genre    comedy\n",
            "label     PT. B\n",
            "Name: 3, dtype: object\n",
            "title         G\n",
            "genre    comedy\n",
            "label     PT. A\n",
            "Name: 6, dtype: object\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df[df['genre']=='comedy']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 175
        },
        "id": "brXiyDpx1XT4",
        "outputId": "8fb73426-8773-41cc-9f13-bb7325f9268f"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  title   genre  label\n",
              "0     A  comedy  PT. A\n",
              "3     D  comedy  PT. B\n",
              "6     G  comedy  PT. A\n",
              "9     J  comedy  PT. A"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-677c93bb-7e0e-4f88-8c18-2cc5510b7007\">\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>title</th>\n",
              "      <th>genre</th>\n",
              "      <th>label</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>A</td>\n",
              "      <td>comedy</td>\n",
              "      <td>PT. A</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>D</td>\n",
              "      <td>comedy</td>\n",
              "      <td>PT. B</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>G</td>\n",
              "      <td>comedy</td>\n",
              "      <td>PT. A</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>J</td>\n",
              "      <td>comedy</td>\n",
              "      <td>PT. A</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-677c93bb-7e0e-4f88-8c18-2cc5510b7007')\"\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",
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              "                                                     [key], {});\n",
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              "\n",
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              "            '<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": 16
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Anime Recommender System"
      ],
      "metadata": {
        "id": "odf_5j0B2RDq"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Load Data"
      ],
      "metadata": {
        "id": "YJZ0i3n22Xae"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "You can get dataset from here:\n",
        "- animes and rating: https://github.com/nestor94/animender/tree/master/data "
      ],
      "metadata": {
        "id": "vBoUe2Ci7pBL"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "animes = pd.read_csv('https://raw.githubusercontent.com/nestor94/animender/master/data/anime.csv')"
      ],
      "metadata": {
        "id": "EiqKafIr2TZm"
      },
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "ratings = pd.read_csv('/content/rating.csv')"
      ],
      "metadata": {
        "id": "v68Rq3st2gva"
      },
      "execution_count": 26,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "animes.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YYhPv4K_3rMf",
        "outputId": "9c8a8a01-6c47-4bfc-a923-c829b8201239"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(12294, 7)"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ratings.shape"
      ],
      "metadata": {
        "colab": {
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        },
        "id": "lmkJ9MXq3Njv",
        "outputId": "40f0980a-223a-4578-a35b-820acded4162"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(7813737, 3)"
            ]
          },
          "metadata": {},
          "execution_count": 28
        }
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    },
    {
      "cell_type": "code",
      "source": [
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      ],
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        "id": "PiHORJt83wsh",
        "outputId": "d9823935-fea5-4334-d56a-640aeebebe55"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         user_id  anime_id  rating\n",
              "0              1        20      -1\n",
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    {
      "cell_type": "code",
      "source": [
        "animes.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 319
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        "id": "1OhGM1B23zeL",
        "outputId": "d74227e2-ce36-4ed8-e996-5699908bab65"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   anime_id                              name  \\\n",
              "0     32281                    Kimi no Na wa.   \n",
              "1      5114  Fullmetal Alchemist: Brotherhood   \n",
              "2     28977                          Gintama°   \n",
              "3      9253                       Steins;Gate   \n",
              "4      9969                     Gintama&#039;   \n",
              "\n",
              "                                               genre   type episodes  rating  \\\n",
              "0               Drama, Romance, School, Supernatural  Movie        1    9.37   \n",
              "1  Action, Adventure, Drama, Fantasy, Magic, Mili...     TV       64    9.26   \n",
              "2  Action, Comedy, Historical, Parody, Samurai, S...     TV       51    9.25   \n",
              "3                                   Sci-Fi, Thriller     TV       24    9.17   \n",
              "4  Action, Comedy, Historical, Parody, Samurai, S...     TV       51    9.16   \n",
              "\n",
              "   members  \n",
              "0   200630  \n",
              "1   793665  \n",
              "2   114262  \n",
              "3   673572  \n",
              "4   151266  "
            ],
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              "\n",
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              "\n",
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              "  </style>\n",
              "\n",
              "      <script>\n",
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              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-d549020f-a588-4fe7-904f-dc8e26f5e04d');\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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              "          element.appendChild(docLink);\n",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import string as str\n",
        "animes[animes['name'].str.contains('Naruto')]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "OG-u52rR34E0",
        "outputId": "7be6c4f4-b1e3-4e7b-9221-565bc62f85b0"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      anime_id                                               name  \\\n",
              "486      28755                           Boruto: Naruto the Movie   \n",
              "615       1735                                 Naruto: Shippuuden   \n",
              "719      16870                         The Last: Naruto the Movie   \n",
              "784      13667         Naruto: Shippuuden Movie 6 - Road to Ninja   \n",
              "841         20                                             Naruto   \n",
              "1103     32365  Boruto: Naruto the Movie - Naruto ga Hokage ni...   \n",
              "1237     10589          Naruto: Shippuuden Movie 5 - Blood Prison   \n",
              "1343     10075                                        Naruto x UT   \n",
              "1472      8246        Naruto: Shippuuden Movie 4 - The Lost Tower   \n",
              "1573      6325  Naruto: Shippuuden Movie 3 - Hi no Ishi wo Tsu...   \n",
              "1827      2472                         Naruto: Shippuuden Movie 1   \n",
              "1828      4437                Naruto: Shippuuden Movie 2 - Kizuna   \n",
              "2374      4134  Naruto Shippuuden: Shippuu! &quot;Konoha Gakue...   \n",
              "2416     10686  Naruto: Honoo no Chuunin Shiken! Naruto vs. Ko...   \n",
              "2457     12979   Naruto SD: Rock Lee no Seishun Full-Power Ninden   \n",
              "2458     19511               Naruto Shippuuden: Sunny Side Battle   \n",
              "2756       442  Naruto Movie 1: Dai Katsugeki!! Yuki Hime Shin...   \n",
              "2997     10659  Naruto Soyokazeden Movie: Naruto to Mashin to ...   \n",
              "3449       936  Naruto Movie 2: Dai Gekitotsu! Maboroshi no Ch...   \n",
              "3529      2248  Naruto: Dai Katsugeki!! Yuki Hime Shinobu Houj...   \n",
              "3560      2144  Naruto Movie 3: Dai Koufun! Mikazuki Jima no A...   \n",
              "3561      7367                            Naruto: The Cross Roads   \n",
              "3838      1074  Naruto Narutimate Hero 3: Tsuini Gekitotsu! Jo...   \n",
              "3984       594  Naruto: Takigakure no Shitou - Ore ga Eiyuu Da...   \n",
              "5111       761          Naruto: Akaki Yotsuba no Clover wo Sagase   \n",
              "\n",
              "                                                  genre     type episodes  \\\n",
              "486   Action, Comedy, Martial Arts, Shounen, Super P...    Movie        1   \n",
              "615   Action, Comedy, Martial Arts, Shounen, Super P...       TV  Unknown   \n",
              "719   Action, Martial Arts, Romance, Shounen, Super ...    Movie        1   \n",
              "784   Action, Adventure, Martial Arts, Shounen, Supe...    Movie        1   \n",
              "841   Action, Comedy, Martial Arts, Shounen, Super P...       TV      220   \n",
              "1103  Action, Comedy, Martial Arts, Shounen, Super P...  Special        1   \n",
              "1237  Action, Adventure, Martial Arts, Mystery, Shou...    Movie        1   \n",
              "1343  Action, Comedy, Martial Arts, Shounen, Super P...      OVA        1   \n",
              "1472  Action, Comedy, Martial Arts, Shounen, Super P...    Movie        1   \n",
              "1573  Action, Comedy, Martial Arts, Shounen, Super P...    Movie        1   \n",
              "1827        Action, Adventure, Comedy, Fantasy, Shounen    Movie        1   \n",
              "1828        Action, Martial Arts, Shounen, Supernatural    Movie        1   \n",
              "2374                                             Comedy  Special        1   \n",
              "2416  Action, Adventure, Martial Arts, Shounen, Supe...    Movie        1   \n",
              "2457                             Action, Comedy, Parody       TV       51   \n",
              "2458  Action, Comedy, Martial Arts, Shounen, Super P...  Special        1   \n",
              "2756  Adventure, Comedy, Drama, Historical, Shounen,...    Movie        1   \n",
              "2997  Action, Comedy, Martial Arts, Shounen, Super P...    Movie        1   \n",
              "3449  Adventure, Comedy, Drama, Fantasy, Shounen, Su...    Movie        1   \n",
              "3529  Action, Comedy, Fantasy, Martial Arts, Shounen...  Special        1   \n",
              "3560                                  Action, Adventure    Movie        1   \n",
              "3561                 Action, Adventure, Comedy, Shounen  Special        1   \n",
              "3838                   Adventure, Comedy, Game, Shounen      OVA        1   \n",
              "3984    Action, Adventure, Comedy, Shounen, Super Power  Special        1   \n",
              "5111                         Adventure, Comedy, Shounen  Special        1   \n",
              "\n",
              "      rating  members  \n",
              "486     8.03    74690  \n",
              "615     7.94   533578  \n",
              "719     7.88    85013  \n",
              "784     7.84    87369  \n",
              "841     7.81   683297  \n",
              "1103    7.68    16868  \n",
              "1237    7.62    75660  \n",
              "1343    7.58    23465  \n",
              "1472    7.53    84527  \n",
              "1573    7.50    83515  \n",
              "1827    7.43   108170  \n",
              "1828    7.43    97818  \n",
              "2374    7.28    34056  \n",
              "2416    7.27    30378  \n",
              "2457    7.26    29989  \n",
              "2458    7.26    13014  \n",
              "2756    7.17   120571  \n",
              "2997    7.11    25174  \n",
              "3449    6.99    97308  \n",
              "3529    6.96    47988  \n",
              "3560    6.95    91526  \n",
              "3561    6.95    22131  \n",
              "3838    6.87    45188  \n",
              "3984    6.83    52264  \n",
              "5111    6.55    47587  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-12c85b49-22df-425c-a9c0-64a9d60df85d\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>anime_id</th>\n",
              "      <th>name</th>\n",
              "      <th>genre</th>\n",
              "      <th>type</th>\n",
              "      <th>episodes</th>\n",
              "      <th>rating</th>\n",
              "      <th>members</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>486</th>\n",
              "      <td>28755</td>\n",
              "      <td>Boruto: Naruto the Movie</td>\n",
              "      <td>Action, Comedy, Martial Arts, Shounen, Super P...</td>\n",
              "      <td>Movie</td>\n",
              "      <td>1</td>\n",
              "      <td>8.03</td>\n",
              "      <td>74690</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>615</th>\n",
              "      <td>1735</td>\n",
              "      <td>Naruto: Shippuuden</td>\n",
              "      <td>Action, Comedy, Martial Arts, Shounen, Super P...</td>\n",
              "      <td>TV</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>7.94</td>\n",
              "      <td>533578</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>719</th>\n",
              "      <td>16870</td>\n",
              "      <td>The Last: Naruto the Movie</td>\n",
              "      <td>Action, Martial Arts, Romance, Shounen, Super ...</td>\n",
              "      <td>Movie</td>\n",
              "      <td>1</td>\n",
              "      <td>7.88</td>\n",
              "      <td>85013</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>784</th>\n",
              "      <td>13667</td>\n",
              "      <td>Naruto: Shippuuden Movie 6 - Road to Ninja</td>\n",
              "      <td>Action, Adventure, Martial Arts, Shounen, Supe...</td>\n",
              "      <td>Movie</td>\n",
              "      <td>1</td>\n",
              "      <td>7.84</td>\n",
              "      <td>87369</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>841</th>\n",
              "      <td>20</td>\n",
              "      <td>Naruto</td>\n",
              "      <td>Action, Comedy, Martial Arts, Shounen, Super P...</td>\n",
              "      <td>TV</td>\n",
              "      <td>220</td>\n",
              "      <td>7.81</td>\n",
              "      <td>683297</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1103</th>\n",
              "      <td>32365</td>\n",
              "      <td>Boruto: Naruto the Movie - Naruto ga Hokage ni...</td>\n",
              "      <td>Action, Comedy, Martial Arts, Shounen, Super P...</td>\n",
              "      <td>Special</td>\n",
              "      <td>1</td>\n",
              "      <td>7.68</td>\n",
              "      <td>16868</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1237</th>\n",
              "      <td>10589</td>\n",
              "      <td>Naruto: Shippuuden Movie 5 - Blood Prison</td>\n",
              "      <td>Action, Adventure, Martial Arts, Mystery, Shou...</td>\n",
              "      <td>Movie</td>\n",
              "      <td>1</td>\n",
              "      <td>7.62</td>\n",
              "      <td>75660</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1343</th>\n",
              "      <td>10075</td>\n",
              "      <td>Naruto x UT</td>\n",
              "      <td>Action, Comedy, Martial Arts, Shounen, Super P...</td>\n",
              "      <td>OVA</td>\n",
              "      <td>1</td>\n",
              "      <td>7.58</td>\n",
              "      <td>23465</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1472</th>\n",
              "      <td>8246</td>\n",
              "      <td>Naruto: Shippuuden Movie 4 - The Lost Tower</td>\n",
              "      <td>Action, Comedy, Martial Arts, Shounen, Super P...</td>\n",
              "      <td>Movie</td>\n",
              "      <td>1</td>\n",
              "      <td>7.53</td>\n",
              "      <td>84527</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1573</th>\n",
              "      <td>6325</td>\n",
              "      <td>Naruto: Shippuuden Movie 3 - Hi no Ishi wo Tsu...</td>\n",
              "      <td>Action, Comedy, Martial Arts, Shounen, Super P...</td>\n",
              "      <td>Movie</td>\n",
              "      <td>1</td>\n",
              "      <td>7.50</td>\n",
              "      <td>83515</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1827</th>\n",
              "      <td>2472</td>\n",
              "      <td>Naruto: Shippuuden Movie 1</td>\n",
              "      <td>Action, Adventure, Comedy, Fantasy, Shounen</td>\n",
              "      <td>Movie</td>\n",
              "      <td>1</td>\n",
              "      <td>7.43</td>\n",
              "      <td>108170</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1828</th>\n",
              "      <td>4437</td>\n",
              "      <td>Naruto: Shippuuden Movie 2 - Kizuna</td>\n",
              "      <td>Action, Martial Arts, Shounen, Supernatural</td>\n",
              "      <td>Movie</td>\n",
              "      <td>1</td>\n",
              "      <td>7.43</td>\n",
              "      <td>97818</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2374</th>\n",
              "      <td>4134</td>\n",
              "      <td>Naruto Shippuuden: Shippuu! &amp;quot;Konoha Gakue...</td>\n",
              "      <td>Comedy</td>\n",
              "      <td>Special</td>\n",
              "      <td>1</td>\n",
              "      <td>7.28</td>\n",
              "      <td>34056</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2416</th>\n",
              "      <td>10686</td>\n",
              "      <td>Naruto: Honoo no Chuunin Shiken! Naruto vs. Ko...</td>\n",
              "      <td>Action, Adventure, Martial Arts, Shounen, Supe...</td>\n",
              "      <td>Movie</td>\n",
              "      <td>1</td>\n",
              "      <td>7.27</td>\n",
              "      <td>30378</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2457</th>\n",
              "      <td>12979</td>\n",
              "      <td>Naruto SD: Rock Lee no Seishun Full-Power Ninden</td>\n",
              "      <td>Action, Comedy, Parody</td>\n",
              "      <td>TV</td>\n",
              "      <td>51</td>\n",
              "      <td>7.26</td>\n",
              "      <td>29989</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2458</th>\n",
              "      <td>19511</td>\n",
              "      <td>Naruto Shippuuden: Sunny Side Battle</td>\n",
              "      <td>Action, Comedy, Martial Arts, Shounen, Super P...</td>\n",
              "      <td>Special</td>\n",
              "      <td>1</td>\n",
              "      <td>7.26</td>\n",
              "      <td>13014</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2756</th>\n",
              "      <td>442</td>\n",
              "      <td>Naruto Movie 1: Dai Katsugeki!! Yuki Hime Shin...</td>\n",
              "      <td>Adventure, Comedy, Drama, Historical, Shounen,...</td>\n",
              "      <td>Movie</td>\n",
              "      <td>1</td>\n",
              "      <td>7.17</td>\n",
              "      <td>120571</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2997</th>\n",
              "      <td>10659</td>\n",
              "      <td>Naruto Soyokazeden Movie: Naruto to Mashin to ...</td>\n",
              "      <td>Action, Comedy, Martial Arts, Shounen, Super P...</td>\n",
              "      <td>Movie</td>\n",
              "      <td>1</td>\n",
              "      <td>7.11</td>\n",
              "      <td>25174</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3449</th>\n",
              "      <td>936</td>\n",
              "      <td>Naruto Movie 2: Dai Gekitotsu! Maboroshi no Ch...</td>\n",
              "      <td>Adventure, Comedy, Drama, Fantasy, Shounen, Su...</td>\n",
              "      <td>Movie</td>\n",
              "      <td>1</td>\n",
              "      <td>6.99</td>\n",
              "      <td>97308</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3529</th>\n",
              "      <td>2248</td>\n",
              "      <td>Naruto: Dai Katsugeki!! Yuki Hime Shinobu Houj...</td>\n",
              "      <td>Action, Comedy, Fantasy, Martial Arts, Shounen...</td>\n",
              "      <td>Special</td>\n",
              "      <td>1</td>\n",
              "      <td>6.96</td>\n",
              "      <td>47988</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3560</th>\n",
              "      <td>2144</td>\n",
              "      <td>Naruto Movie 3: Dai Koufun! Mikazuki Jima no A...</td>\n",
              "      <td>Action, Adventure</td>\n",
              "      <td>Movie</td>\n",
              "      <td>1</td>\n",
              "      <td>6.95</td>\n",
              "      <td>91526</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3561</th>\n",
              "      <td>7367</td>\n",
              "      <td>Naruto: The Cross Roads</td>\n",
              "      <td>Action, Adventure, Comedy, Shounen</td>\n",
              "      <td>Special</td>\n",
              "      <td>1</td>\n",
              "      <td>6.95</td>\n",
              "      <td>22131</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3838</th>\n",
              "      <td>1074</td>\n",
              "      <td>Naruto Narutimate Hero 3: Tsuini Gekitotsu! Jo...</td>\n",
              "      <td>Adventure, Comedy, Game, Shounen</td>\n",
              "      <td>OVA</td>\n",
              "      <td>1</td>\n",
              "      <td>6.87</td>\n",
              "      <td>45188</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3984</th>\n",
              "      <td>594</td>\n",
              "      <td>Naruto: Takigakure no Shitou - Ore ga Eiyuu Da...</td>\n",
              "      <td>Action, Adventure, Comedy, Shounen, Super Power</td>\n",
              "      <td>Special</td>\n",
              "      <td>1</td>\n",
              "      <td>6.83</td>\n",
              "      <td>52264</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5111</th>\n",
              "      <td>761</td>\n",
              "      <td>Naruto: Akaki Yotsuba no Clover wo Sagase</td>\n",
              "      <td>Adventure, Comedy, Shounen</td>\n",
              "      <td>Special</td>\n",
              "      <td>1</td>\n",
              "      <td>6.55</td>\n",
              "      <td>47587</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "\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-12c85b49-22df-425c-a9c0-64a9d60df85d 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-12c85b49-22df-425c-a9c0-64a9d60df85d');\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": 31
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Data Preprocessing"
      ],
      "metadata": {
        "id": "pvwqwMUg8Mys"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Drop NaN values"
      ],
      "metadata": {
        "id": "t119mrNq8PHr"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "animes.dropna(subset=['genre','type','rating'], inplace=True)\n",
        "animes.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_BjkrwD28OpZ",
        "outputId": "c6683656-6a80-40c8-e9a0-6d05adc2b554"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(12017, 7)"
            ]
          },
          "metadata": {},
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "animes.genre.value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xj23bUJp8cwo",
        "outputId": "cb72c71c-e72a-42c3-804a-33788217768e"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Hentai                                                   816\n",
              "Comedy                                                   521\n",
              "Music                                                    297\n",
              "Kids                                                     197\n",
              "Comedy, Slice of Life                                    174\n",
              "                                                        ... \n",
              "Adventure, Comedy, Horror, Shounen, Supernatural           1\n",
              "Comedy, Harem, Romance, School, Seinen, Slice of Life      1\n",
              "Comedy, Ecchi, Sci-Fi, Shounen                             1\n",
              "Adventure, Shounen, Sports                                 1\n",
              "Hentai, Slice of Life                                      1\n",
              "Name: genre, Length: 3229, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Count Vectorizer"
      ],
      "metadata": {
        "id": "BAlaWntq89-S"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**CountVectorizer** offers a simple way to both tokenize text data and build a vocabulary of known words."
      ],
      "metadata": {
        "id": "csCOoJEr9kij"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "cvt = CountVectorizer(tokenizer = lambda x: x.split(', '))\n",
        "mgenre = cvt.fit_transform(animes['genre'])\n",
        "\n",
        "print(len(cvt.get_feature_names()))\n",
        "print(cvt.get_feature_names())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "us7FrpL88gJI",
        "outputId": "2fff0881-c4d5-49ad-e314-7c5a5103723c"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "43\n",
            "['action', 'adventure', 'cars', 'comedy', 'dementia', 'demons', 'drama', 'ecchi', 'fantasy', 'game', 'harem', 'hentai', 'historical', 'horror', 'josei', 'kids', 'magic', 'martial arts', 'mecha', 'military', 'music', 'mystery', 'parody', 'police', 'psychological', 'romance', 'samurai', 'school', 'sci-fi', 'seinen', 'shoujo', 'shoujo ai', 'shounen', 'shounen ai', 'slice of life', 'space', 'sports', 'super power', 'supernatural', 'thriller', 'vampire', 'yaoi', 'yuri']\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
            "  warnings.warn(msg, category=FutureWarning)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "mgenre.toarray()[1]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EJ5pbkqh81mC",
        "outputId": "62617d0e-7f16-4fa3-d5d0-9e46858e4b29"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0,\n",
              "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])"
            ]
          },
          "metadata": {},
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Cosine Similarity"
      ],
      "metadata": {
        "id": "zGdSEFJe9qqV"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "co_score = cosine_similarity(mgenre)\n",
        "co_score"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BzRWE-GX86WI",
        "outputId": "77a6980c-8822-4b33-8b87-c60808742958"
      },
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[1.        , 0.18898224, 0.        , ..., 0.        , 0.        ,\n",
              "        0.        ],\n",
              "       [0.18898224, 1.        , 0.28571429, ..., 0.        , 0.        ,\n",
              "        0.        ],\n",
              "       [0.        , 0.28571429, 1.        , ..., 0.        , 0.        ,\n",
              "        0.        ],\n",
              "       ...,\n",
              "       [0.        , 0.        , 0.        , ..., 1.        , 1.        ,\n",
              "        1.        ],\n",
              "       [0.        , 0.        , 0.        , ..., 1.        , 1.        ,\n",
              "        1.        ],\n",
              "       [0.        , 0.        , 0.        , ..., 1.        , 1.        ,\n",
              "        1.        ]])"
            ]
          },
          "metadata": {},
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "co_score.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bagK4kAl9xtJ",
        "outputId": "c675ba40-e6b3-48e0-8380-be9da4ff0e8f"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(12017, 12017)"
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Print similarity score for data index = 0"
      ],
      "metadata": {
        "id": "iGwkB7yF9-j5"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "i = 0\n",
        "print(animes.iloc[i])\n",
        "print(co_score[i])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UyiOY8p590AG",
        "outputId": "2e721148-5b6f-44ed-9d02-8dcd9c6a9265"
      },
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "anime_id                                   32281\n",
            "name                              Kimi no Na wa.\n",
            "genre       Drama, Romance, School, Supernatural\n",
            "type                                       Movie\n",
            "episodes                                       1\n",
            "rating                                      9.37\n",
            "members                                   200630\n",
            "Name: 0, dtype: object\n",
            "[1.         0.18898224 0.         ... 0.         0.         0.        ]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "exp_anime = 'Kimi no Na wa.'\n",
        "exp_idx = animes[animes['name'] == exp_anime].index[0]\n",
        "exp_idx"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3scbtzoJ-LlU",
        "outputId": "19d8a235-95cd-4648-8c01-ecc5fedf09f9"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "anime_dict = dict(enumerate(co_score[exp_idx]))\n",
        "anime_dict"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UnEw8Qsh-ff1",
        "outputId": "5378dca6-c3b9-4985-c81d-8655bf0d52b8"
      },
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
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          },
          "metadata": {},
          "execution_count": 40
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "recomm = list()\n",
        "for k,v in anime_dict.items():\n",
        "  if anime_dict[k] >= 0.7:\n",
        "    recomm.append(k)"
      ],
      "metadata": {
        "id": "xjSBoD-m-nOg"
      },
      "execution_count": 43,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(recomm)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KBwwNzdF-1K3",
        "outputId": "4c2ed435-9281-4eaa-ad34-301d708a6c33"
      },
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[0, 60, 180, 208, 219, 223, 320, 323, 337, 370, 401, 504, 518, 613, 675, 878, 894, 986, 1058, 1111, 1199, 1201, 1435, 1436, 1494, 1548, 1604, 1616, 1631, 1659, 1697, 1771, 1907, 1959, 2027, 2058, 2078, 2088, 2103, 2191, 2279, 2300, 2304, 2405, 2567, 2724, 2775, 3137, 3198, 3200, 3210, 3296, 3529, 3539, 3628, 3689, 3732, 3906, 3912, 4000, 4004, 4199, 4217, 4271, 4361, 4512, 4859, 5029, 5044, 5079, 5125, 5231, 5312, 5344, 5379, 5418, 5453, 5462, 5463, 5510, 5566, 5695, 5729, 5730, 5750, 5784, 5794, 5803, 5832, 5840, 6076, 6116, 6153, 6157, 6321, 6354, 6391, 6399, 6403, 6581, 6731, 6779, 7158, 7222, 7318, 7394, 7465, 7602, 7627, 8362, 8600, 9347, 10081, 10162, 10178, 10204]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print('Recommendation for:', exp_anime)\n",
        "recommendation = animes.iloc[recomm][1:].sort_values('rating', ascending=False).head(5)\n",
        "recommendation"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 372
        },
        "id": "XUH0bifd-73_",
        "outputId": "78208f93-30b4-4655-c7a0-1bbfdc24f867"
      },
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Recommendation for: Kimi no Na wa.\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
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              "     anime_id                                               name  \\\n",
              "60      10408                                 Hotarubi no Mori e   \n",
              "180     18195                           Little Busters!: Refrain   \n",
              "208     28725                      Kokoro ga Sakebitagatterunda.   \n",
              "219     23847  Yahari Ore no Seishun Love Comedy wa Machigatt...   \n",
              "223      2167                                            Clannad   \n",
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              "                                                 genre   type episodes  \\\n",
              "60                Drama, Romance, Shoujo, Supernatural  Movie        1   \n",
              "180  Comedy, Drama, Romance, School, Slice of Life,...     TV       13   \n",
              "208                             Drama, Romance, School  Movie        1   \n",
              "219                     Comedy, Drama, Romance, School     TV       13   \n",
              "223  Comedy, Drama, Romance, School, Slice of Life,...     TV       23   \n",
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              "     rating  members  \n",
              "60     8.61   197439  \n",
              "180    8.36    71820  \n",
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    {
      "cell_type": "markdown",
      "source": [
        "## Collaborative Filtering"
      ],
      "metadata": {
        "id": "NbuY43RC_SjG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "animes.head(5)"
      ],
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 319
        },
        "id": "nNeeicuo_LlH",
        "outputId": "e2ed6c95-4eaa-4603-e54a-689cc6505106"
      },
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   anime_id                              name  \\\n",
              "0     32281                    Kimi no Na wa.   \n",
              "1      5114  Fullmetal Alchemist: Brotherhood   \n",
              "2     28977                          Gintama°   \n",
              "3      9253                       Steins;Gate   \n",
              "4      9969                     Gintama&#039;   \n",
              "\n",
              "                                               genre   type episodes  rating  \\\n",
              "0               Drama, Romance, School, Supernatural  Movie        1    9.37   \n",
              "1  Action, Adventure, Drama, Fantasy, Magic, Mili...     TV       64    9.26   \n",
              "2  Action, Comedy, Historical, Parody, Samurai, S...     TV       51    9.25   \n",
              "3                                   Sci-Fi, Thriller     TV       24    9.17   \n",
              "4  Action, Comedy, Historical, Parody, Samurai, S...     TV       51    9.16   \n",
              "\n",
              "   members  \n",
              "0   200630  \n",
              "1   793665  \n",
              "2   114262  \n",
              "3   673572  \n",
              "4   151266  "
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              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>32281</td>\n",
              "      <td>Kimi no Na wa.</td>\n",
              "      <td>Drama, Romance, School, Supernatural</td>\n",
              "      <td>Movie</td>\n",
              "      <td>1</td>\n",
              "      <td>9.37</td>\n",
              "      <td>200630</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>5114</td>\n",
              "      <td>Fullmetal Alchemist: Brotherhood</td>\n",
              "      <td>Action, Adventure, Drama, Fantasy, Magic, Mili...</td>\n",
              "      <td>TV</td>\n",
              "      <td>64</td>\n",
              "      <td>9.26</td>\n",
              "      <td>793665</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>28977</td>\n",
              "      <td>Gintama°</td>\n",
              "      <td>Action, Comedy, Historical, Parody, Samurai, S...</td>\n",
              "      <td>TV</td>\n",
              "      <td>51</td>\n",
              "      <td>9.25</td>\n",
              "      <td>114262</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>9253</td>\n",
              "      <td>Steins;Gate</td>\n",
              "      <td>Sci-Fi, Thriller</td>\n",
              "      <td>TV</td>\n",
              "      <td>24</td>\n",
              "      <td>9.17</td>\n",
              "      <td>673572</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>9969</td>\n",
              "      <td>Gintama&amp;#039;</td>\n",
              "      <td>Action, Comedy, Historical, Parody, Samurai, S...</td>\n",
              "      <td>TV</td>\n",
              "      <td>51</td>\n",
              "      <td>9.16</td>\n",
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              "                                                     [key], {});\n",
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              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
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    {
      "cell_type": "code",
      "source": [
        "ratings.head(5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "qyDI0zU1AXiS",
        "outputId": "14823042-bab6-4e96-8e81-e5fead8bcf16"
      },
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   user_id  anime_id  rating\n",
              "0        1        20      -1\n",
              "1        1        24      -1\n",
              "2        1        79      -1\n",
              "3        1       226      -1\n",
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              "                                                     [key], {});\n",
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              "\n",
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              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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            ]
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          "metadata": {},
          "execution_count": 49
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ratings['rating'].value_counts(dropna='False')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XwMb8qryAcO9",
        "outputId": "e7b135cf-22b2-446f-c232-9d1e79dfd3ea"
      },
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              " 8     1646019\n",
              "-1     1476496\n",
              " 7     1375287\n",
              " 9     1254096\n",
              " 10     955715\n",
              " 6      637775\n",
              " 5      282806\n",
              " 4      104291\n",
              " 3       41453\n",
              " 2       23150\n",
              " 1       16649\n",
              "Name: rating, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 50
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "num_users = len(ratings.user_id.unique())\n",
        "num_animes = len(ratings.anime_id.unique())\n",
        "print('Total unique animes = {} and total users = {}'.format(num_animes, num_users))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "44I6W7ypAgI4",
        "outputId": "6f25a362-a6ec-4a34-9c6d-22c162190d59"
      },
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Total unique animes = 11200 and total users = 73515\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Exploratory Data Analysis (EDA)"
      ],
      "metadata": {
        "id": "G6FPoabUA2zR"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 1. Plot the counts of each rating"
      ],
      "metadata": {
        "id": "vKOvxAD3A7IV"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "ratings_count = pd.DataFrame(ratings.groupby('rating').size(), columns=['count'])\n",
        "ratings_count"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        },
        "id": "0A6XvxYwA0nv",
        "outputId": "88a9774f-f219-4766-85ea-7ddf9ae62368"
      },
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          count\n",
              "rating         \n",
              "-1      1476496\n",
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              "          document.querySelector('#df-af8295c0-07b3-4103-a2f1-29b507fa33ea button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "          const element = document.querySelector('#df-af8295c0-07b3-4103-a2f1-29b507fa33ea');\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": 52
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ratings_count['count'].sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7VDlli8EB-xt",
        "outputId": "ffb32532-bd5d-4282-c8cb-5dc489ffd63b"
      },
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "7813737"
            ]
          },
          "metadata": {},
          "execution_count": 53
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "total = num_users * num_animes\n",
        "zero_count = total - ratings.shape[0]\n",
        "ratings_count = ratings_count.append(pd.DataFrame({'count' : zero_count}, index=[0])).sort_index()\n",
        "ratings_count"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        },
        "id": "SXbehsguCCjw",
        "outputId": "0b60a87e-ef4f-461c-ab89-42775c552aa6"
      },
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         count\n",
              "-1     1476496\n",
              " 0   815554263\n",
              " 1       16649\n",
              " 2       23150\n",
              " 3       41453\n",
              " 4      104291\n",
              " 5      282806\n",
              " 6      637775\n",
              " 7     1375287\n",
              " 8     1646019\n",
              " 9     1254096\n",
              " 10     955715"
            ],
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              "    .colab-df-convert {\n",
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              "    [theme=dark] .colab-df-convert:hover {\n",
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              "      fill: #FFFFFF;\n",
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              "\n",
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              "        const buttonEl =\n",
              "          document.querySelector('#df-cb0b2446-dd3f-4737-bb74-ae538a50188e 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-cb0b2446-dd3f-4737-bb74-ae538a50188e');\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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            ]
          },
          "metadata": {},
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ax = ratings_count[['count']].reset_index().rename(columns={'index': 'rating_score'}).plot(\n",
        "    x='rating_score',\n",
        "    y='count',\n",
        "    kind='bar',\n",
        "    figsize=(10,8),\n",
        "    title='Count for each rating score in log scale',\n",
        "    logy=True,\n",
        "    fontsize=10)\n",
        "\n",
        "ax.set_xlabel(\"Movie Rating Score\")\n",
        "ax.set_ylabel(\"Number of Ratings\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 533
        },
        "id": "xBrsT6NmCtWC",
        "outputId": "12023ea2-34d1-4acf-9f9b-d9529c107189"
      },
      "execution_count": 56,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Number of Ratings')"
            ]
          },
          "metadata": {},
          "execution_count": 56
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 2. Plot rating frequency of all movies"
      ],
      "metadata": {
        "id": "KS0vWez0DBy1"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "ratings.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "e6_vXR_2C_Ml",
        "outputId": "aa099968-e98b-4826-953c-c7d1066a5a62"
      },
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   user_id  anime_id  rating\n",
              "0        1        20      -1\n",
              "1        1        24      -1\n",
              "2        1        79      -1\n",
              "3        1       226      -1\n",
              "4        1       241      -1"
            ],
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              "\n",
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>user_id</th>\n",
              "      <th>anime_id</th>\n",
              "      <th>rating</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
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              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>24</td>\n",
              "      <td>-1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>79</td>\n",
              "      <td>-1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1</td>\n",
              "      <td>226</td>\n",
              "      <td>-1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1</td>\n",
              "      <td>241</td>\n",
              "      <td>-1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0f9a6358-6867-4043-bd48-4a94ce1002d0')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "  </svg>\n",
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              "      \n",
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              "      display:flex;\n",
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              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "      border: none;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      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-0f9a6358-6867-4043-bd48-4a94ce1002d0 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-0f9a6358-6867-4043-bd48-4a94ce1002d0');\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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              "          element.appendChild(docLink);\n",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 57
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "anime_count = pd.DataFrame(ratings.groupby('anime_id').size(), columns=['count'])\n",
        "anime_count.sort_values('count', ascending=False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "7CnJ6_hUDGm3",
        "outputId": "c59cdcd4-d435-4b1c-80f3-250baa39d6b7"
      },
      "execution_count": 58,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          count\n",
              "anime_id       \n",
              "1535      39340\n",
              "11757     30583\n",
              "16498     29584\n",
              "1575      27718\n",
              "226       27506\n",
              "...         ...\n",
              "23865         1\n",
              "23863         1\n",
              "23861         1\n",
              "23855         1\n",
              "34519         1\n",
              "\n",
              "[11200 rows x 1 columns]"
            ],
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              "\n",
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              "      <div>\n",
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              "\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>count</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>anime_id</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1535</th>\n",
              "      <td>39340</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11757</th>\n",
              "      <td>30583</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16498</th>\n",
              "      <td>29584</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1575</th>\n",
              "      <td>27718</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>226</th>\n",
              "      <td>27506</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23865</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23863</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23861</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23855</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34519</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>11200 rows × 1 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6d592d7a-4605-4f6b-be87-966040b0afba')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\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",
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          "metadata": {},
          "execution_count": 58
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "animes[animes['anime_id'] == 11757]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 142
        },
        "id": "EUXUtp9aDKox",
        "outputId": "c89bde22-25d9-477a-8f8c-a183145ae123"
      },
      "execution_count": 59,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     anime_id              name                                      genre  \\\n",
              "804     11757  Sword Art Online  Action, Adventure, Fantasy, Game, Romance   \n",
              "\n",
              "    type episodes  rating  members  \n",
              "804   TV       25    7.83   893100  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-49f2873a-a414-47d0-add6-1fd092e6ecea\">\n",
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              "      <div>\n",
              "<style scoped>\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>anime_id</th>\n",
              "      <th>name</th>\n",
              "      <th>genre</th>\n",
              "      <th>type</th>\n",
              "      <th>episodes</th>\n",
              "      <th>rating</th>\n",
              "      <th>members</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>804</th>\n",
              "      <td>11757</td>\n",
              "      <td>Sword Art Online</td>\n",
              "      <td>Action, Adventure, Fantasy, Game, Romance</td>\n",
              "      <td>TV</td>\n",
              "      <td>25</td>\n",
              "      <td>7.83</td>\n",
              "      <td>893100</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
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              "  </svg>\n",
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              "    }\n",
              "\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",
              "      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-49f2873a-a414-47d0-add6-1fd092e6ecea 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-49f2873a-a414-47d0-add6-1fd092e6ecea');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 59
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ratings[ratings['anime_id']== 11757]['rating'].mean()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5enVefxEDROj",
        "outputId": "91552d21-3edf-4dcd-aea9-10b2e9a11496"
      },
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "6.863159271490697"
            ]
          },
          "metadata": {},
          "execution_count": 60
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ax = anime_count.sort_values('count', ascending=False).reset_index(drop=True).plot(\n",
        "    figsize=(10,8),\n",
        "    title='Rating Frequency of All Movies',\n",
        "    fontsize=10\n",
        ")\n",
        "ax.set_xlabel(\"anime Id\")\n",
        "ax.set_ylabel('number of ratings')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 531
        },
        "id": "okzbVxBPDXUA",
        "outputId": "dba4ac11-aadc-4398-f877-b8e560548442"
      },
      "execution_count": 61,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'number of ratings')"
            ]
          },
          "metadata": {},
          "execution_count": 61
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ],
            "image/png": 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    {
      "cell_type": "code",
      "source": [
        "anime_count[anime_count['count']>=390].sort_values('count')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "sf8MGM4zDaEv",
        "outputId": "a2d2288b-30a6-4c19-f979-2bb159ef7791"
      },
      "execution_count": 62,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          count\n",
              "anime_id       \n",
              "2499        390\n",
              "11083       391\n",
              "9934        391\n",
              "29325       391\n",
              "864         392\n",
              "...         ...\n",
              "226       27506\n",
              "1575      27718\n",
              "16498     29584\n",
              "11757     30583\n",
              "1535      39340\n",
              "\n",
              "[2792 rows x 1 columns]"
            ],
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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",
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              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          docLink.innerHTML = docLinkHtml;\n",
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              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 62
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "anime_count[anime_count['count']>=390].sort_values('count')"
      ],
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "CWoj-YAADl_s",
        "outputId": "59ed0f1c-9c2b-4370-d69f-591560f57d45"
      },
      "execution_count": 64,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          count\n",
              "anime_id       \n",
              "2499        390\n",
              "11083       391\n",
              "9934        391\n",
              "29325       391\n",
              "864         392\n",
              "...         ...\n",
              "226       27506\n",
              "1575      27718\n",
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              "[2792 rows x 1 columns]"
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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",
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          "metadata": {},
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    },
    {
      "cell_type": "code",
      "source": [
        "popularity_thres = 390\n",
        "popular_animes = list(set(anime_count.query('count >= @popularity_thres').index))\n",
        "df_popanimes = ratings[ratings['anime_id'].isin(popular_animes)]\n",
        "df_popanimes"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "-PsipCMhDnTo",
        "outputId": "8d49d609-a0ab-4da8-d6bc-c4c13099b77f"
      },
      "execution_count": 63,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         user_id  anime_id  rating\n",
              "0              1        20      -1\n",
              "1              1        24      -1\n",
              "2              1        79      -1\n",
              "3              1       226      -1\n",
              "4              1       241      -1\n",
              "...          ...       ...     ...\n",
              "7813732    73515     16512       7\n",
              "7813733    73515     17187       9\n",
              "7813734    73515     22145      10\n",
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              "7813736    73516      8074       9\n",
              "\n",
              "[7302461 rows x 3 columns]"
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              "<p>7302461 rows × 3 columns</p>\n",
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              "  </svg>\n",
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              "\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",
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              "\n",
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              "  </style>\n",
              "\n",
              "      <script>\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",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "        }\n",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 63
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print('shape of original ratings data:', ratings.shape)\n",
        "print('shape of popular animes:', df_popanimes.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Z9vjEUkPDrj5",
        "outputId": "a6c49ed0-930c-4b8f-d7fd-24d339af7935"
      },
      "execution_count": 65,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "shape of original ratings data: (7813737, 3)\n",
            "shape of popular animes: (7302461, 3)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_popanimes.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "LTocIrJODsjk",
        "outputId": "c605d946-610e-4312-a967-09ec00678c0a"
      },
      "execution_count": 66,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   user_id  anime_id  rating\n",
              "0        1        20      -1\n",
              "1        1        24      -1\n",
              "2        1        79      -1\n",
              "3        1       226      -1\n",
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          "metadata": {},
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    {
      "cell_type": "code",
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        "user_counts = pd.DataFrame(df_popanimes.groupby('user_id').size(), columns=['count'])\n",
        "user_counts.sort_values('count', ascending=False).head()"
      ],
      "metadata": {
        "colab": {
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          "height": 237
        },
        "id": "hXLvdbkwDtl4",
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      },
      "execution_count": 67,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         count\n",
              "user_id       \n",
              "48766     2768\n",
              "42635     2100\n",
              "57620     2071\n",
              "59643     1945\n",
              "45659     1869"
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              "                                                     [key], {});\n",
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              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
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          "metadata": {},
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    },
    {
      "cell_type": "code",
      "source": [
        "len(user_counts)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-ase1mmiDwxL",
        "outputId": "5778372d-a5f5-4540-f821-f6f42751880a"
      },
      "execution_count": 68,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "73436"
            ]
          },
          "metadata": {},
          "execution_count": 68
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ax = user_counts.sort_values('count', ascending=False).reset_index(drop=True).plot(\n",
        "    figsize=(12,8),\n",
        "    title='Rating Frequency of All Users',\n",
        "    fontsize=12\n",
        ")\n",
        "ax.set_xlabel(\"user_id\")\n",
        "ax.set_ylabel(\"number_of_ratings\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 535
        },
        "id": "keZ5yX5PD2OG",
        "outputId": "68bf64fd-a438-40cd-fde2-686fb3c58bb8"
      },
      "execution_count": 69,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'number_of_ratings')"
            ]
          },
          "metadata": {},
          "execution_count": 69
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "user_counts['count'].quantile(np.arange(1,0.5,-0.05))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0h8sLcJRD3wP",
        "outputId": "2af2a771-3f79-43bd-8363-fa6ffa48ec4d"
      },
      "execution_count": 70,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1.00    2768.0\n",
              "0.95     346.0\n",
              "0.90     246.0\n",
              "0.85     193.0\n",
              "0.80     157.0\n",
              "0.75     131.0\n",
              "0.70     109.0\n",
              "0.65      92.0\n",
              "0.60      78.0\n",
              "0.55      66.0\n",
              "Name: count, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 70
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "rating_thres = 100\n",
        "active_users = list(set(user_counts.query('count >= @rating_thres').index))\n",
        "df_active_users = df_popanimes[df_popanimes['user_id'].isin(active_users)]\n",
        "print('shape of original ratings data:', ratings.shape)\n",
        "print('shape of active users:', df_active_users.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LMG2_kImD5Q4",
        "outputId": "a557cf9f-24f6-432e-c2d1-6b125f7ec7a6"
      },
      "execution_count": 71,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "shape of original ratings data: (7813737, 3)\n",
            "shape of active users: (5580347, 3)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## KNN model for item-based collaborative filtering"
      ],
      "metadata": {
        "id": "nBjDztYAEAbR"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 1. Reshaping the Data"
      ],
      "metadata": {
        "id": "90zJUjupECBS"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# pivot and create movie-user matrix\n",
        "movie_user_mtx = df_active_users.pivot(index='anime_id', columns='user_id', values='rating')\n",
        "movie_user_mtx"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 519
        },
        "id": "0C719bo1D7Wu",
        "outputId": "461511dd-4c8a-4285-bbf5-9582425cc44c"
      },
      "execution_count": 72,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "user_id   1      5      7      11     13     14     17     21     29     \\\n",
              "anime_id                                                                  \n",
              "1           NaN    NaN    NaN    NaN   -1.0    NaN    NaN    9.0    NaN   \n",
              "5           NaN    NaN    NaN    NaN   -1.0    NaN    NaN    9.0    NaN   \n",
              "6           NaN    8.0    NaN    NaN   -1.0    NaN    7.0    NaN    NaN   \n",
              "7           NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
              "8           NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
              "...         ...    ...    ...    ...    ...    ...    ...    ...    ...   \n",
              "33421       NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
              "33524       NaN    NaN    NaN    NaN    NaN    NaN   -1.0    NaN    NaN   \n",
              "33558       NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
              "34103       NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
              "34240       NaN    NaN    NaN    NaN    NaN    NaN    8.0    NaN    NaN   \n",
              "\n",
              "user_id   35     ...  73494  73495  73499  73500  73502  73503  73504  73507  \\\n",
              "anime_id         ...                                                           \n",
              "1           NaN  ...    NaN   10.0    9.0    NaN    NaN    9.0   10.0    9.0   \n",
              "5           NaN  ...    NaN    8.0    NaN    NaN    NaN    7.0   10.0    8.0   \n",
              "6           NaN  ...    9.0   -1.0    9.0    NaN    NaN    9.0    9.0    9.0   \n",
              "7           NaN  ...    NaN    7.0    NaN    NaN    9.0    NaN    7.0    NaN   \n",
              "8           NaN  ...    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
              "...         ...  ...    ...    ...    ...    ...    ...    ...    ...    ...   \n",
              "33421       NaN  ...    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
              "33524       NaN  ...    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
              "33558       NaN  ...    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
              "34103       NaN  ...    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
              "34240       NaN  ...    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
              "\n",
              "user_id   73510  73515  \n",
              "anime_id                \n",
              "1           NaN   10.0  \n",
              "5           NaN   10.0  \n",
              "6           NaN   10.0  \n",
              "7           NaN    NaN  \n",
              "8           NaN    NaN  \n",
              "...         ...    ...  \n",
              "33421       NaN    NaN  \n",
              "33524       NaN    NaN  \n",
              "33558       NaN    NaN  \n",
              "34103       NaN    NaN  \n",
              "34240       NaN    NaN  \n",
              "\n",
              "[2792 rows x 24085 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-97c545e0-178a-48f7-924f-f1529dcba237\">\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>user_id</th>\n",
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              "  </tbody>\n",
              "</table>\n",
              "<p>2792 rows × 24085 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-97c545e0-178a-48f7-924f-f1529dcba237')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
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              "    .colab-df-container {\n",
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              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "      border-radius: 50%;\n",
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              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "\n",
              "      <script>\n",
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              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-97c545e0-178a-48f7-924f-f1529dcba237');\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",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 72
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "movie_user_mtx = movie_user_mtx.fillna(0)"
      ],
      "metadata": {
        "id": "DZLEdn8fEGzc"
      },
      "execution_count": 73,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "movie_user_mtx"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 519
        },
        "id": "o-E--nwfEHMF",
        "outputId": "0ee8a4b9-519e-48de-f965-553815f3404e"
      },
      "execution_count": 74,
      "outputs": [
        {
          "output_type": "execute_result",
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              "anime_id                                                                  \n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>anime_id</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>10.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>10.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>0.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>9.0</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>10.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33421</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33524</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33558</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34103</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34240</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2792 rows × 24085 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-96a9fddf-a4ee-4369-b7c3-de19a5402be3')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
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              "      \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",
              "      cursor: pointer;\n",
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              "      padding: 0 0 0 0;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
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              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-96a9fddf-a4ee-4369-b7c3-de19a5402be3');\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",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 74
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "list(enumerate(list(animes.set_index('anime_id').loc[movie_user_mtx.index]['name'])))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0Qx1tXvAEKg0",
        "outputId": "bcd06814-dbf2-44f9-956e-a9cc21529a73"
      },
      "execution_count": 75,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[(0, 'Cowboy Bebop'),\n",
              " (1, 'Cowboy Bebop: Tengoku no Tobira'),\n",
              " (2, 'Trigun'),\n",
              " (3, 'Witch Hunter Robin'),\n",
              " (4, 'Beet the Vandel Buster'),\n",
              " (5, 'Eyeshield 21'),\n",
              " (6, 'Hachimitsu to Clover'),\n",
              " (7, 'Hungry Heart: Wild Striker'),\n",
              " (8, 'Initial D Fourth Stage'),\n",
              " (9, 'Monster'),\n",
              " (10, 'Naruto'),\n",
              " (11, 'Prince of Tennis'),\n",
              " (12, 'School Rumble'),\n",
              " (13, 'Sunabouzu'),\n",
              " (14, 'Texhnolyze'),\n",
              " (15, 'Trinity Blood'),\n",
              " (16, 'Yakitate!! Japan'),\n",
              " (17, 'Neon Genesis Evangelion'),\n",
              " (18, 'Neon Genesis Evangelion: Death &amp; Rebirth'),\n",
              " (19, 'Neon Genesis Evangelion: The End of Evangelion'),\n",
              " (20, 'Berserk'),\n",
              " (21, 'Ghost in the Shell'),\n",
              " (22, 'Rurouni Kenshin: Meiji Kenkaku Romantan - Tsuioku-hen'),\n",
              " (23, 'Rurouni Kenshin: Meiji Kenkaku Romantan'),\n",
              " (24, 'Rurouni Kenshin: Meiji Kenkaku Romantan - Ishinshishi e no Chinkonka'),\n",
              " (25, 'Akira'),\n",
              " (26, '.hack//Sign'),\n",
              " (27, 'Aa! Megami-sama!'),\n",
              " (28, 'Aa! Megami-sama! (TV)'),\n",
              " (29, 'Tenshi Kinryouku'),\n",
              " (30, 'Kidou Tenshi Angelic Layer'),\n",
              " (31, 'Ai Yori Aoshi'),\n",
              " (32, 'Appleseed (Movie)'),\n",
              " (33, 'Arc the Lad'),\n",
              " (34, 'Avenger'),\n",
              " (35, 'Beck'),\n",
              " (36, 'Blue Gender'),\n",
              " (37, 'Chobits'),\n",
              " (38, 'Chrno Crusade'),\n",
              " (39, 'D.N.Angel'),\n",
              " (40, 'D.C.: Da Capo'),\n",
              " (41, 'DearS'),\n",
              " (42, 'Rozen Maiden'),\n",
              " (43, 'Rozen Maiden: Träumend'),\n",
              " (44, 'Azumanga Daioh'),\n",
              " (45, 'Basilisk: Kouga Ninpou Chou'),\n",
              " (46, 'Black Cat'),\n",
              " (47, 'Full Metal Panic!'),\n",
              " (48, 'Full Metal Panic? Fumoffu'),\n",
              " (49, 'Full Metal Panic! The Second Raid'),\n",
              " (50, 'Gakuen Alice'),\n",
              " (51, 'Soukyuu no Fafner: Dead Aggressor'),\n",
              " (52, 'Mahou Shoujo Lyrical Nanoha'),\n",
              " (53, 'Mahou Shoujo Lyrical Nanoha A&#039;s'),\n",
              " (54, 'Shuffle!'),\n",
              " (55, 'Mobile Suit Gundam'),\n",
              " (56, 'Mobile Suit Gundam: The 08th MS Team'),\n",
              " (57, 'Mobile Suit Gundam 0080: War in the Pocket'),\n",
              " (58, 'Mobile Suit Gundam: The 08th MS Team - Miller&#039;s Report'),\n",
              " (59, 'Mobile Suit Gundam 0083: Stardust Memory'),\n",
              " (60, 'Mobile Suit Zeta Gundam'),\n",
              " (61, 'Mobile Suit Gundam ZZ'),\n",
              " (62, 'Mobile Suit Gundam: Char&#039;s Counterattack'),\n",
              " (63, 'Mobile Suit Gundam F91'),\n",
              " (64, 'Mobile Suit Gundam Wing'),\n",
              " (65, 'Mobile Suit Gundam Wing: Endless Waltz'),\n",
              " (66, 'After War Gundam X'),\n",
              " (67, 'Mobile Suit Gundam Seed'),\n",
              " (68, 'Mobile Suit Gundam Seed Destiny'),\n",
              " (69, 'Turn A Gundam'),\n",
              " (70, 'Mobile Fighter G Gundam'),\n",
              " (71, 'Last Exile'),\n",
              " (72, 'Mai-HiME'),\n",
              " (73, 'Mai-Otome'),\n",
              " (74, 'Shin Shirayuki-hime Densetsu Prétear'),\n",
              " (75, 'Air'),\n",
              " (76, 'Aishiteruze Baby★★'),\n",
              " (77, 'Ayashi no Ceres'),\n",
              " (78, 'Boys Be...'),\n",
              " (79, 'Hana yori Dango'),\n",
              " (80, 'Ou Dorobou Jing'),\n",
              " (81, 'Ou Dorobou Jing in Seventh Heaven'),\n",
              " (82, 'Bakuretsu Tenshi'),\n",
              " (83, 'Uchuu no Stellvia'),\n",
              " (84, 'Sakigake!! Cromartie Koukou'),\n",
              " (85, 'El Hazard: The Wanderers'),\n",
              " (86, 'El Hazard: The Magnificent World'),\n",
              " (87, 'Final Approach'),\n",
              " (88, 'Fruits Basket'),\n",
              " (89, 'Fullmetal Alchemist'),\n",
              " (90, 'Full Moon wo Sagashite'),\n",
              " (91, 'Fushigi Yuugi'),\n",
              " (92, 'Fushigi Yuugi: Eikouden'),\n",
              " (93, 'Futakoi'),\n",
              " (94, 'Futakoi Alternative'),\n",
              " (95, 'Gate Keepers'),\n",
              " (96, 'Gensoumaden Saiyuuki'),\n",
              " (97, 'Saiyuuki Reload'),\n",
              " (98, 'Saiyuuki Reload Gunlock'),\n",
              " (99, 'GetBackers'),\n",
              " (100, 'Green Green'),\n",
              " (101, 'Gunslinger Girl'),\n",
              " (102, 'Hikaru no Go'),\n",
              " (103, 'Hunter x Hunter'),\n",
              " (104, 'Hunter x Hunter OVA'),\n",
              " (105, 'Hunter x Hunter: Greed Island'),\n",
              " (106, 'Hunter x Hunter: Greed Island Final'),\n",
              " (107, 'Kamikaze Kaitou Jeanne'),\n",
              " (108, 'Kannazuki no Miko'),\n",
              " (109, 'Kanon'),\n",
              " (110, 'Kareshi Kanojo no Jijou'),\n",
              " (111, 'Kono Minikuku mo Utsukushii Sekai'),\n",
              " (112, 'Kimi ga Nozomu Eien'),\n",
              " (113, 'Loveless'),\n",
              " (114, 'Blood+'),\n",
              " (115, 'Solty Rei'),\n",
              " (116, 'Juuni Kokuki'),\n",
              " (117, 'Shaman King'),\n",
              " (118, 'X/1999'),\n",
              " (119, 'X'),\n",
              " (120, 'Mahou Sensei Negima!'),\n",
              " (121, 'Maria-sama ga Miteru'),\n",
              " (122, 'Boukyaku no Senritsu'),\n",
              " (123, 'Ima, Soko ni Iru Boku'),\n",
              " (124, 'Peace Maker Kurogane'),\n",
              " (125, 'Pita Ten'),\n",
              " (126, 'Mononoke Hime'),\n",
              " (127, 'RahXephon'),\n",
              " (128, 'Samurai 7'),\n",
              " (129, 'Scrapped Princess'),\n",
              " (130, 's.CRY.ed'),\n",
              " (131, 'Shingetsutan Tsukihime'),\n",
              " (132, 'Slam Dunk'),\n",
              " (133, 'Tactics'),\n",
              " (134, 'Tenjou Tenge'),\n",
              " (135, 'Tokyo Underground'),\n",
              " (136, 'Tsubasa Chronicle'),\n",
              " (137, 'Ultra Maniac'),\n",
              " (138, 'Vandread'),\n",
              " (139, 'Vandread: The Second Stage'),\n",
              " (140, 'Tenkuu no Escaflowne'),\n",
              " (141, 'Xenosaga The Animation'),\n",
              " (142, 'Initial D First Stage'),\n",
              " (143, 'Initial D Second Stage'),\n",
              " (144, 'Initial D Third Stage'),\n",
              " (145, 'Love Hina'),\n",
              " (146, 'Love Hina Again'),\n",
              " (147, 'Love Hina Christmas Special: Silent Eve'),\n",
              " (148, 'Love Hina Haru Special: Kimi Sakura Chiru Nakare!!'),\n",
              " (149, 'Maburaho'),\n",
              " (150, 'Macross Zero'),\n",
              " (151, 'Onegai☆Teacher'),\n",
              " (152, 'Onegai☆Twins'),\n",
              " (153, 'Rizelmine'),\n",
              " (154, 'Speed Grapher'),\n",
              " (155, 'Sen to Chihiro no Kamikakushi'),\n",
              " (156, 'Tenshi na Konamaiki'),\n",
              " (157, 'Video Girl Ai'),\n",
              " (158, 'Wolf&#039;s Rain'),\n",
              " (159, 'Yumeria'),\n",
              " (160, 'Samurai Champloo'),\n",
              " (161, 'Lodoss-tou Senki: Eiyuu Kishi Den'),\n",
              " (162, 'Lodoss-tou Senki'),\n",
              " (163, 'R.O.D OVA'),\n",
              " (164, 'R.O.D the TV'),\n",
              " (165, 'Ranma ½'),\n",
              " (166, 'Kidou Senkan Nadesico'),\n",
              " (167, 'Kidou Senkan Nadesico: The Prince of Darkness'),\n",
              " (168, 'Mezzo Forte'),\n",
              " (169, 'Mezzo DSA'),\n",
              " (170, 'Dragon Ball'),\n",
              " (171, 'Dragon Ball GT'),\n",
              " (172, 'Elfen Lied'),\n",
              " (173, 'FLCL'),\n",
              " (174, 'Jigoku Shoujo'),\n",
              " (175, 'Ninin ga Shinobuden'),\n",
              " (176, 'Air Master'),\n",
              " (177, 'Cardcaptor Sakura'),\n",
              " (178, 'Daa! Daa! Daa!'),\n",
              " (179, 'E&#039;s Otherwise'),\n",
              " (180, 'Eureka Seven'),\n",
              " (181, 'Rekka no Honoo'),\n",
              " (182, 'Gankutsuou'),\n",
              " (183, 'Genshiken'),\n",
              " (184, 'Girls Bravo: First Season'),\n",
              " (185, 'Gokusen'),\n",
              " (186, 'Gravitation'),\n",
              " (187, 'Great Teacher Onizuka'),\n",
              " (188, 'Groove Adventure Rave'),\n",
              " (189, 'Harukanaru Toki no Naka de: Hachiyou Shou'),\n",
              " (190, 'Ichigo 100%'),\n",
              " (191, 'InuYasha'),\n",
              " (192, 'Konjiki no Gash Bell!!'),\n",
              " (193, 'Kyou kara Maou!'),\n",
              " (194, 'Madlax'),\n",
              " (195, 'Jungle wa Itsumo Hare nochi Guu'),\n",
              " (196, 'Jungle wa Itsumo Hare nochi Guu Deluxe'),\n",
              " (197, 'Jungle wa Itsumo Hare nochi Guu Final'),\n",
              " (198, 'Hoshi no Koe'),\n",
              " (199, 'Ikkitousen'),\n",
              " (200, 'Hitsuji no Uta'),\n",
              " (201, 'Happy☆Lesson (TV)'),\n",
              " (202, 'Happy☆Lesson: Advance'),\n",
              " (203, 'Hajime no Ippo'),\n",
              " (204, 'Hajime no Ippo: Champion Road'),\n",
              " (205, 'Hajime no Ippo: Mashiba vs. Kimura'),\n",
              " (206, 'Gunparade March: Arata Naru Kougunka'),\n",
              " (207, 'Gungrave'),\n",
              " (208, 'Golden Boy'),\n",
              " (209, 'Bleach'),\n",
              " (210, 'Hellsing'),\n",
              " (211, 'Noir'),\n",
              " (212, 'Mahoutsukai ni Taisetsu na Koto'),\n",
              " (213, 'Kiddy Grade'),\n",
              " (214, 'Love♥Love?'),\n",
              " (215, 'Mahoromatic: Automatic Maiden'),\n",
              " (216, 'Mahoromatic 2'),\n",
              " (217, 'Kyougoku Natsuhiko: Kousetsu Hyaku Monogatari'),\n",
              " (218, 'Akane Maniax'),\n",
              " (219, 'Grappler Baki (TV)'),\n",
              " (220, 'Bakuten Shoot Beyblade'),\n",
              " (221, 'Comic Party'),\n",
              " (222, 'Seikai no Monshou'),\n",
              " (223, 'D.C.S.S: Da Capo Second Season'),\n",
              " (224, 'Dear Boys'),\n",
              " (225, 'Di Gi Charat'),\n",
              " (226, 'Dragon Drive'),\n",
              " (227, 'Grenadier: Hohoemi no Senshi'),\n",
              " (228, '.hack//Tasogare no Udewa Densetsu'),\n",
              " (229, '.hack//Liminality'),\n",
              " (230, '3x3 Eyes'),\n",
              " (231, 'Mirai Shounen Conan'),\n",
              " (232, 'Aa! Megami-sama!: Chichaitte Koto wa Benri da ne'),\n",
              " (233, 'Aa! Megami-sama! Movie'),\n",
              " (234, 'Abenobashi Mahou☆Shoutengai'),\n",
              " (235, 'Final Fantasy VII: Advent Children'),\n",
              " (236, 'Hand Maid May'),\n",
              " (237, 'A Kite'),\n",
              " (238, 'Najica Dengeki Sakusen'),\n",
              " (239, 'Paradise Kiss'),\n",
              " (240, 'Mousou Dairinin'),\n",
              " (241, 'Peach Girl'),\n",
              " (242, 'Petshop of Horrors'),\n",
              " (243, 'Planetes'),\n",
              " (244, 'Midori no Hibi'),\n",
              " (245, 'Marmalade Boy'),\n",
              " (246, 'Matantei Loki Ragnarok'),\n",
              " (247, 'Rose of Versailles'),\n",
              " (248, 'Serial Experiments Lain'),\n",
              " (249, 'Mutsu Enmei Ryuu Gaiden: Shura no Toki'),\n",
              " (250, 'Spiral: Suiri no Kizuna'),\n",
              " (251, 'Tsukuyomi: Moon Phase'),\n",
              " (252, 'Eikoku Koi Monogatari Emma'),\n",
              " (253, 'W: Wish'),\n",
              " (254, 'Binzume Yousei'),\n",
              " (255, 'Ojamajo Doremi'),\n",
              " (256, 'Shakugan no Shana'),\n",
              " (257, 'Fate/stay night'),\n",
              " (258, 'Bokusatsu Tenshi Dokuro-chan'),\n",
              " (259, 'Iriya no Sora, UFO no Natsu'),\n",
              " (260, 'Fake'),\n",
              " (261, 'AIKa'),\n",
              " (262, 'Bible Black'),\n",
              " (263, 'Boogiepop wa Warawanai: Boogiepop Phantom'),\n",
              " (264, 'Cardcaptor Sakura Movie 1'),\n",
              " (265, 'Cardcaptor Sakura Movie 2: Fuuin Sareta Card'),\n",
              " (266, 'Elfen Lied Special'),\n",
              " (267, 'Heppoko Jikken Animation Excel♥Saga'),\n",
              " (268, 'Fushigi Yuugi OVA'),\n",
              " (269, 'Fushigi Yuugi OVA 2'),\n",
              " (270, 'Futari Ecchi'),\n",
              " (271, 'Galaxy Angel'),\n",
              " (272, 'Gantz'),\n",
              " (273, 'Gilgamesh'),\n",
              " (274, 'Haibane Renmei'),\n",
              " (275, 'Karas'),\n",
              " (276, 'Suzuka'),\n",
              " (277, 'Tales of Phantasia The Animation'),\n",
              " (278, 'Yuu☆Yuu☆Hakusho'),\n",
              " (279, 'Escaflowne'),\n",
              " (280, 'Ai Yori Aoshi: Enishi'),\n",
              " (281, 'Gantz 2nd Stage'),\n",
              " (282, 'Seikai no Senki'),\n",
              " (283, 'Seikai no Senki II'),\n",
              " (284, 'Seikai no Senki III'),\n",
              " (285, 'Seihou Bukyou Outlaw Star'),\n",
              " (286, 'Rurouni Kenshin: Meiji Kenkaku Romantan - Seisou-hen'),\n",
              " (287, 'Hanaukyou Maid-tai'),\n",
              " (288, 'Bastard!!: Ankoku no Hakaishin'),\n",
              " (289, 'Blood: The Last Vampire'),\n",
              " (290, 'Buzzer Beater'),\n",
              " (291, 'Tantei Gakuen Q'),\n",
              " (292, 'Final Fantasy VII: Last Order'),\n",
              " (293, 'Gun x Sword'),\n",
              " (294, 'Kore ga Watashi no Goshujinsama'),\n",
              " (295, 'Hametsu no Mars'),\n",
              " (296, 'Tonari no Yamada-kun'),\n",
              " (297, 'Kurenai no Buta'),\n",
              " (298, 'Ragnarök the Animation'),\n",
              " (299, 'Ranma ½: Chuugoku Nekonron Daikessen! Okite Yaburi no Gekitou-hen!!'),\n",
              " (300, 'Samurai Deeper Kyou'),\n",
              " (301, 'Spriggan'),\n",
              " (302, 'Final Fantasy'),\n",
              " (303, 'Kaleido Star'),\n",
              " (304, 'Kaleido Star: Aratanaru Tsubasa - Extra Stage'),\n",
              " (305, 'Kaleido Star: Legend of Phoenix - Layla Hamilton Monogatari'),\n",
              " (306, 'Fullmetal Alchemist: The Conqueror of Shamballa'),\n",
              " (307, 'Howl no Ugoku Shiro'),\n",
              " (308, 'Iria: Zeiram The Animation'),\n",
              " (309, 'Kumo no Mukou, Yakusoku no Basho'),\n",
              " (310, 'Magic Knight Rayearth'),\n",
              " (311, 'Perfect Blue'),\n",
              " (312, 'Phantom The Animation'),\n",
              " (313, 'Shoujo Kakumei Utena'),\n",
              " (314, 'Shoujo Kakumei Utena: Adolescence Mokushiroku'),\n",
              " (315, 'Naruto Movie 1: Dai Katsugeki!! Yuki Hime Shinobu Houjou Dattebayo!'),\n",
              " (316, 'Onegai☆Teacher: Himitsu na Futari'),\n",
              " (317, 'Maria-sama ga Miteru: Haru'),\n",
              " (318, 'Tales of Eternia The Animation'),\n",
              " (319, 'Weiß Kreuz'),\n",
              " (320, 'Tenjou Tenge: The Ultimate Fight'),\n",
              " (321, 'InuYasha: Guren no Houraijima'),\n",
              " (322, 'InuYasha: Kagami no Naka no Mugenjo'),\n",
              " (323, 'InuYasha: Tenka Hadou no Ken'),\n",
              " (324, 'InuYasha: Toki wo Koeru Omoi'),\n",
              " (325, '.hack//Gift'),\n",
              " (326, 'Mushishi'),\n",
              " (327, 'One Piece Movie 1'),\n",
              " (328, 'One Piece Movie 2: Nejimaki-jima no Daibouken'),\n",
              " (329, 'One Piece Movie 3: Chinjuu-jima no Chopper Oukoku'),\n",
              " (330, 'One Piece Movie 4: Dead End no Bouken'),\n",
              " (331, 'One Piece Movie 5: Norowareta Seiken'),\n",
              " (332, 'One Piece Movie 6: Omatsuri Danshaku to Himitsu no Shima'),\n",
              " (333, 'One Piece Movie 7: Karakuri-jou no Mecha Kyohei'),\n",
              " (334, 'One Piece: Taose! Kaizoku Ganzack'),\n",
              " (335, 'Ghost in the Shell: Stand Alone Complex'),\n",
              " (336, 'Ghost in the Shell 2: Innocence'),\n",
              " (337, 'Karin'),\n",
              " (338, 'Okusama wa Joshikousei (TV)'),\n",
              " (339, 'To Heart 2'),\n",
              " (340, 'To Heart'),\n",
              " (341, 'Macross Plus'),\n",
              " (342, 'Ginban Kaleidoscope'),\n",
              " (343, 'Aria The Animation'),\n",
              " (344, 'Sousei no Aquarion'),\n",
              " (345, 'The Law of Ueki'),\n",
              " (346, 'Yu☆Gi☆Oh! Duel Monsters'),\n",
              " (347, 'Yu☆Gi☆Oh!: Duel Monsters GX'),\n",
              " (348, 'Kurau Phantom Memory'),\n",
              " (349, 'Damekko Doubutsu'),\n",
              " (350, 'Kino no Tabi: The Beautiful World'),\n",
              " (351, 'Girls Bravo: Second Season'),\n",
              " (352, 'Ichigo Mashimaro'),\n",
              " (353, 'Kamichu!'),\n",
              " (354, 'Paniponi Dash!'),\n",
              " (355, 'Armitage III: Dual-Matrix'),\n",
              " (356, 'Armitage III: Poly-Matrix'),\n",
              " (357, 'Bakuretsu Hunters'),\n",
              " (358, 'Yami to Boushi to Hon no Tabibito'),\n",
              " (359, 'Doraemon'),\n",
              " (360, 'Dragon Ball Movie 1: Shen Long no Densetsu'),\n",
              " (361, 'Fatal Fury: The Motion Picture'),\n",
              " (362, 'Gravitation: Lyrics of Love'),\n",
              " (363, 'Tottoko Hamtarou'),\n",
              " (364, 'I My Me! Strawberry Eggs'),\n",
              " (365, 'Majo no Takkyuubin'),\n",
              " (366, 'Tenkuu no Shiro Laputa'),\n",
              " (367, 'Cossette no Shouzou'),\n",
              " (368, 'School Rumble Ichi Gakki Hoshuu'),\n",
              " (369, 'Mahoraba: Heartful days'),\n",
              " (370, 'Mermaid Melody Pichi Pichi Pitch'),\n",
              " (371, 'Metropolis'),\n",
              " (372, 'Tonari no Totoro'),\n",
              " (373, 'Onegai☆Twins: Natsu wa Owaranai'),\n",
              " (374, 'Pokemon'),\n",
              " (375, 'Pokemon: Mewtwo no Gyakushuu'),\n",
              " (376, 'Saishuu Heiki Kanojo'),\n",
              " (377, 'Bishoujo Senshi Sailor Moon'),\n",
              " (378, 'Bishoujo Senshi Sailor Moon R: The Movie'),\n",
              " (379, 'Bishoujo Senshi Sailor Moon S'),\n",
              " (380, 'Slayers'),\n",
              " (381, 'Slayers Next'),\n",
              " (382, 'Slayers: The Motion Picture'),\n",
              " (383, 'Tekken'),\n",
              " (384, 'Shin Tenchi Muyou!'),\n",
              " (385, 'Tenchi Muyou! Ryououki'),\n",
              " (386, 'Tenchi Muyou! Ryououki 2nd Season'),\n",
              " (387, 'Tenchi Muyou! Ryououki 3rd Season'),\n",
              " (388, 'Vampire Hunter D (2000)'),\n",
              " (389, 'Wonderful Days'),\n",
              " (390, 'Yu☆Gi☆Oh!'),\n",
              " (391, 'Grappler Baki: Saidai Tournament-hen'),\n",
              " (392, 'Digimon Adventure'),\n",
              " (393, 'Yami no Matsuei'),\n",
              " (394, 'Koutetsu Tenshi Kurumi'),\n",
              " (395, 'Koutetsu Tenshi Kurumi 2'),\n",
              " (396, 'Major S2'),\n",
              " (397, 'DNA²'),\n",
              " (398, 'Puni Puni☆Poemii'),\n",
              " (399, 'Steamboy'),\n",
              " (400, 'Tetsuwan Birdy'),\n",
              " (401, 'The Big O'),\n",
              " (402, 'Bubblegum Crisis Tokyo 2040'),\n",
              " (403, 'Musekinin Kanchou Tylor'),\n",
              " (404, 'Jin-Rou'),\n",
              " (405, 'Kaze no Tani no Nausicaä'),\n",
              " (406, 'Saber Marionette J'),\n",
              " (407, 'Magikano'),\n",
              " (408, 'Hotaru no Haka'),\n",
              " (409, 'Battle Programmer Shirase'),\n",
              " (410, 'Noein: Mou Hitori no Kimi e'),\n",
              " (411, 'Mimi wo Sumaseba'),\n",
              " (412, 'Ayakashi: Japanese Classic Horror'),\n",
              " (413, 'Hanbun no Tsuki ga Noboru Sora'),\n",
              " (414, 'Itsudatte My Santa!'),\n",
              " (415, 'Ginga Nagareboshi Gin'),\n",
              " (416, 'Kage kara Mamoru!'),\n",
              " (417, 'Amaenaide yo!!'),\n",
              " (418, 'Mugen no Ryvius'),\n",
              " (419, 'Naruto: Takigakure no Shitou - Ore ga Eiyuu Dattebayo!'),\n",
              " (420, 'X OVA'),\n",
              " (421, 'Chobits: Chibits'),\n",
              " (422, 'Neko no Ongaeshi'),\n",
              " (423, 'Nekojiru-sou'),\n",
              " (424, 'Futari wa Precure'),\n",
              " (425, 'Saishuu Heiki Kanojo: Another Love Song'),\n",
              " (426, 'Popotan'),\n",
              " (427, 'Nurse Witch Komugi-chan Magikarte'),\n",
              " (428, 'Juubee Ninpuuchou'),\n",
              " (429, 'Juubee Ninpuuchou: Ryuuhougyoku-hen'),\n",
              " (430, 'Mermaid Forest'),\n",
              " (431, 'Night Walker: Mayonaka no Tantei'),\n",
              " (432, 'Mouse'),\n",
              " (433, 'Major S1'),\n",
              " (434, 'Mahoromatic Summer Special'),\n",
              " (435, 'Koi Kaze'),\n",
              " (436, 'Juubee-chan: Lovely Gantai no Himitsu'),\n",
              " (437, 'Iketeru Futari'),\n",
              " (438, 'Ichigo 100% Special 2'),\n",
              " (439,\n",
              "  'Ichigo 100%: Koi ga Hajimaru?! Satsuei Gasshuku - Yureru Kokoro ga Higashi e Nishi e'),\n",
              " (440, 'Hachimitsu to Clover Specials'),\n",
              " (441, 'Hikaru no Go: Journey to the North Star Cup'),\n",
              " (442, 'Hanaukyou Maid-tai: La Verite'),\n",
              " (443, 'Gunsmith Cats'),\n",
              " (444, 'Green Green Thirteen: Erolutions'),\n",
              " (445, 'Air in Summer'),\n",
              " (446, 'Touhai Densetsu Akagi: Yami ni Maiorita Tensai'),\n",
              " (447, 'Azumanga Daioh: Gekijou Tanpen'),\n",
              " (448, 'Fullmetal Alchemist: Reflections'),\n",
              " (449, 'JoJo no Kimyou na Bouken: Adventure'),\n",
              " (450, 'JoJo no Kimyou na Bouken'),\n",
              " (451, 'Kashimashi: Girl Meets Girl'),\n",
              " (452, 'Kujibiki Unbalance'),\n",
              " (453, 'Lamune'),\n",
              " (454, 'Mai-HiME Specials'),\n",
              " (455, 'Tokyo Mew Mew'),\n",
              " (456, 'Uta Kata'),\n",
              " (457, 'Kyuuketsuhime Miyu (TV)'),\n",
              " (458, 'Canvas 2: Niji-iro no Sketch'),\n",
              " (459, 'Tenchi Muyou!'),\n",
              " (460, 'Kanon Kazahana'),\n",
              " (461, 'Rec'),\n",
              " (462, 'Air Movie'),\n",
              " (463, 'Ai no Kusabi'),\n",
              " (464, 'Princess Tutu'),\n",
              " (465, 'Enzai'),\n",
              " (466, 'Interstella5555: The 5tory of The 5ecret 5tar 5ystem'),\n",
              " (467, 'Vampire Hunter D'),\n",
              " (468, 'Keiraku no Houteishiki Level-C'),\n",
              " (469, 'MÄR'),\n",
              " (470, 'Bishoujo Senshi Sailor Moon R'),\n",
              " (471, 'Sensitive Pornograph'),\n",
              " (472, 'Umi ga Kikoeru'),\n",
              " (473, 'Papa to Kiss in the Dark'),\n",
              " (474, 'Haru wo Daite Ita'),\n",
              " (475, 'Boku no Sexual Harassment'),\n",
              " (476, 'School Days ONA'),\n",
              " (477, 'RahXephon: Pluralitas Concentio'),\n",
              " (478, 'Tokyo Godfathers'),\n",
              " (479, 'Tenjou Tenge: The Past Chapter'),\n",
              " (480, 'Naruto: Akaki Yotsuba no Clover wo Sagase'),\n",
              " (481, 'Bleach: Memories in the Rain'),\n",
              " (482, 'Zoids'),\n",
              " (483, 'Zoids Shinseiki/Zero'),\n",
              " (484, 'Pale Cocoon'),\n",
              " (485, 'Hellsing Ultimate'),\n",
              " (486, 'Detective Conan Movie 01: The Timed Skyscraper'),\n",
              " (487, 'Detective Conan Movie 02: The Fourteenth Target'),\n",
              " (488, 'Detective Conan Movie 03: The Last Wizard of the Century'),\n",
              " (489, 'Otaku no Video'),\n",
              " (490, 'Eiken: Eikenbu yori Ai wo Komete'),\n",
              " (491, 'Shinigami no Ballad.'),\n",
              " (492, 'Ergo Proxy'),\n",
              " (493, 'Ranma ½: Kessen Tougenkyou! Hanayome wo Torimodose!'),\n",
              " (494, 'xxxHOLiC Movie: Manatsu no Yoru no Yume'),\n",
              " (495, 'Hanaukyou Maid-tai OVA'),\n",
              " (496, 'NieA Under 7'),\n",
              " (497, 'Ghost in the Shell: Stand Alone Complex 2nd GIG'),\n",
              " (498, 'Tsubasa Chronicle: Tori Kago no Kuni no Himegimi'),\n",
              " (499, 'I&#039;&#039;s Pure'),\n",
              " (500, 'Chikyuu Shoujo Arjuna'),\n",
              " (501, 'Dragon Ball Z'),\n",
              " (502, 'Prince of Tennis: Atobe&#039;s Gift'),\n",
              " (503, 'Prince of Tennis: The Two Samurai, The First Game'),\n",
              " (504, 'Boku wa Imouto ni Koi wo Suru'),\n",
              " (505, 'Ginga Eiyuu Densetsu'),\n",
              " (506, 'Initial D Battle Stage'),\n",
              " (507, 'Initial D Extra Stage'),\n",
              " (508, 'King of Fighters: Another Day'),\n",
              " (509, 'Sexfriend'),\n",
              " (510, 'Chicchana Yukitsukai Sugar'),\n",
              " (511, 'Bleach: The Sealed Sword Frenzy'),\n",
              " (512, 'Sister Princess'),\n",
              " (513, 'Kyou no 5 no 2'),\n",
              " (514, 'Narutaru: Mukuro Naru Hoshi Tama Taru Ko'),\n",
              " (515, 'Narue no Sekai'),\n",
              " (516, 'Colorful'),\n",
              " (517, 'Kiba'),\n",
              " (518, 'School Rumble Ni Gakki'),\n",
              " (519, 'Suzumiya Haruhi no Yuuutsu'),\n",
              " (520, 'Gakuen Heaven'),\n",
              " (521, 'Ouran Koukou Host Club'),\n",
              " (522, 'Soul Link'),\n",
              " (523, 'Strawberry Panic'),\n",
              " (524, 'Utawarerumono'),\n",
              " (525, 'Air Gear'),\n",
              " (526, 'Digimon Savers'),\n",
              " (527, 'Makai Senki Disgaea'),\n",
              " (528, 'xxxHOLiC'),\n",
              " (529, 'Joshikousei: Girl&#039;s High'),\n",
              " (530, 'Mobile Suit Gundam Seed MSV Astray'),\n",
              " (531, 'Slayers Premium'),\n",
              " (532, 'Slayers Gorgeous'),\n",
              " (533, 'Slayers Great'),\n",
              " (534, 'Slayers Return'),\n",
              " (535, 'Dragon Half'),\n",
              " (536, '.hack//Roots'),\n",
              " (537, 'Digimon Tamers'),\n",
              " (538, 'Mind Game'),\n",
              " (539, 'Street Fighter II V'),\n",
              " (540, 'Nana'),\n",
              " (541, 'Zegapain'),\n",
              " (542, 'Simoun'),\n",
              " (543, 'Aa! Megami-sama!: Sorezore no Tsubasa'),\n",
              " (544, 'Green Green OVA'),\n",
              " (545, 'Yuu☆Yuu☆Hakusho (Movie)'),\n",
              " (546, 'Yuu☆Yuu☆Hakusho: Meikai Shitou-hen - Honoo no Kizuna'),\n",
              " (547, 'Shin Angyo Onshi'),\n",
              " (548, 'Tenshi no Tamago'),\n",
              " (549, 'Amaenaide yo!! Katsu!!'),\n",
              " (550, 'Megami Kouhosei'),\n",
              " (551, 'Black Lagoon'),\n",
              " (552, 'Dragon Ball Movie 2: Majinjou no Nemuri Hime'),\n",
              " (553, 'Dragon Ball Movie 3: Makafushigi Daibouken'),\n",
              " (554, 'Dragon Ball Movie 4: Saikyou e no Michi'),\n",
              " (555, 'Dragon Ball Z Movie 01: Ora no Gohan wo Kaese!!'),\n",
              " (556, 'Dragon Ball Z Movie 02: Kono Yo de Ichiban Tsuyoi Yatsu'),\n",
              " (557, 'Dragon Ball Z Movie 03: Chikyuu Marugoto Choukessen'),\n",
              " (558, 'Dragon Ball Z Movie 04: Super Saiyajin da Son Gokuu'),\n",
              " (559, 'Dragon Ball Z Movie 05: Tobikkiri no Saikyou tai Saikyou'),\n",
              " (560, 'Dragon Ball Z Movie 06: Gekitotsu!! 100-oku Power no Senshi-tachi'),\n",
              " (561, 'Dragon Ball Z Movie 07: Kyokugen Battle!! Sandai Super Saiyajin'),\n",
              " (562, 'Dragon Ball Z Movie 08: Moetsukiro!! Nessen, Ressen, Chougekisen'),\n",
              " (563, 'Dragon Ball Z Movie 09: Ginga Girigiri!! Bucchigiri no Sugoi Yatsu'),\n",
              " (564, 'Dragon Ball Z Movie 10: Kiken na Futari! Super Senshi wa Nemurenai'),\n",
              " (565, 'Dragon Ball Z Movie 11: Super Senshi Gekiha!! Katsu no wa Ore da'),\n",
              " (566, 'Dragon Ball Z Movie 12: Fukkatsu no Fusion!! Gokuu to Vegeta'),\n",
              " (567,\n",
              "  'Dragon Ball Z Movie 13: Ryuuken Bakuhatsu!! Goku ga Yaraneba Dare ga Yaru'),\n",
              " (568, 'Princess Princess'),\n",
              " (569, 'Fullmetal Alchemist: Premium Collection'),\n",
              " (570, 'Himawari!'),\n",
              " (571, 'Tokkou'),\n",
              " (572, 'Gintama'),\n",
              " (573, 'Dai Mahou Touge'),\n",
              " (574, 'Higurashi no Naku Koro ni'),\n",
              " (575, 'Witchblade'),\n",
              " (576, 'Naruto Movie 2: Dai Gekitotsu! Maboroshi no Chiteiiseki Dattebayo!'),\n",
              " (577, 'Appleseed'),\n",
              " (578, 'Inukami!'),\n",
              " (579, 'Renkin San-kyuu Magical? Pokaan'),\n",
              " (580, 'The Third: Aoi Hitomi no Shoujo'),\n",
              " (581, 'Top wo Nerae! Gunbuster'),\n",
              " (582, 'Street Fighter Alpha: Generations'),\n",
              " (583, 'Jyu Oh Sei'),\n",
              " (584, 'Saiunkoku Monogatari'),\n",
              " (585, 'Aria The Natural'),\n",
              " (586, 'Love Hina: Motoko no Sentaku, Koi ka Ken... &quot;Naku na&quot;'),\n",
              " (587, 'Hokuto no Ken'),\n",
              " (588, 'Tsubasa Chronicle 2nd Season'),\n",
              " (589, 'Bible Black Gaiden'),\n",
              " (590, 'Dead Leaves'),\n",
              " (591, 'Street Fighter Zero The Animation'),\n",
              " (592, 'Ichigo 100% OVA'),\n",
              " (593, 'Cosplay Complex'),\n",
              " (594, 'Dragon Ball Z: Saiya-jin Zetsumetsu Keikaku'),\n",
              " (595,\n",
              "  'Dragon Ball Z Special 2: Zetsubou e no Hankou!! Nokosareta Chousenshi - Gohan to Trunks'),\n",
              " (596, 'Dragon Ball Z Special 1: Tatta Hitori no Saishuu Kessen'),\n",
              " (597, 'Dragon Ball GT: Goku Gaiden! Yuuki no Akashi wa Suushinchuu'),\n",
              " (598, 'Kamisama Kazoku'),\n",
              " (599, 'Dual Parallel! Trouble Adventures'),\n",
              " (600, 'Prince of Tennis: The National Tournament'),\n",
              " (601, 'Bishoujo Senshi Sailor Moon: Sailor Stars'),\n",
              " (602, 'Bishoujo Senshi Sailor Moon S: Kaguya Hime no Koibito'),\n",
              " (603, 'Blue Seed'),\n",
              " (604, 'Top wo Nerae 2! Diebuster'),\n",
              " (605, 'Aa! Megami-sama! (TV) Specials'),\n",
              " (606, 'Kanojo to Kanojo no Neko'),\n",
              " (607, 'Star Ocean EX'),\n",
              " (608, 'Tenchi Muyou! in Love'),\n",
              " (609, 'Ranma ½ OVA'),\n",
              " (610, 'Ranma ½ Specials'),\n",
              " (611, 'Ranma ½: Chou Musabetsu Kessen! Ranma Team vs. Densetsu no Houou'),\n",
              " (612, 'Ranma ½ Super'),\n",
              " (613, 'Le Chevalier D&#039;Eon'),\n",
              " (614,\n",
              "  'Full Metal Panic! The Second Raid: Wari to Hima na Sentaichou no Ichinichi'),\n",
              " (615, 'Gunnm'),\n",
              " (616, 'Majutsushi Orphen'),\n",
              " (617, 'Honoo no Mirage'),\n",
              " (618, 'Wolf&#039;s Rain OVA'),\n",
              " (619, 'Kachou Ouji'),\n",
              " (620, 'Omoide Poroporo'),\n",
              " (621, 'Heisei Tanuki Gassen Ponpoko'),\n",
              " (622, 'Sennen Joyuu'),\n",
              " (623, 'Ouritsu Uchuugun: Honneamise no Tsubasa'),\n",
              " (624, 'Zetsuai 1989'),\n",
              " (625, 'Bronze: Zetsuai Since 1989'),\n",
              " (626, 'Tokyo Babylon'),\n",
              " (627, 'Elf wo Karu Mono-tachi'),\n",
              " (628, 'Elf wo Karu Mono-tachi II'),\n",
              " (629, 'On Your Mark'),\n",
              " (630, 'The SoulTaker: Tamashii-gari'),\n",
              " (631, 'Bobobo-bo Bo-bobo'),\n",
              " (632, 'Ao no 6-gou'),\n",
              " (633, 'Blame!'),\n",
              " (634, 'Oruchuban Ebichu'),\n",
              " (635, 'Shakugan no Shana Specials'),\n",
              " (636, 'Kishin Houkou Demonbane (TV)'),\n",
              " (637, 'Sweat Punch'),\n",
              " (638,\n",
              "  'Naruto Narutimate Hero 3: Tsuini Gekitotsu! Jounin vs. Genin!! Musabetsu Dairansen taikai Kaisai!!'),\n",
              " (639, 'Cardcaptor Sakura: Leave It to Kero-chan'),\n",
              " (640, 'Armitage III'),\n",
              " (641, 'Kenran Butou Sai: The Mars Daybreak'),\n",
              " (642, 'Macross'),\n",
              " (643, 'Macross: Do You Remember Love?'),\n",
              " (644, 'Mobile Suit Gundam I'),\n",
              " (645, 'Mobile Suit Gundam II: Soldiers of Sorrow'),\n",
              " (646, 'Mobile Suit Gundam III: Encounters in Space'),\n",
              " (647, 'One Piece: Umi no Heso no Daibouken-hen'),\n",
              " (648, 'Mobile Police Patlabor: The Movie'),\n",
              " (649, 'Mobile Police Patlabor 2: The Movie'),\n",
              " (650, 'Tenchi Muyou! Manatsu no Eve'),\n",
              " (651, 'Youjuu Toshi'),\n",
              " (652, 'Senkaiden Houshin Engi'),\n",
              " (653, 'Mermaid Melody Pichi Pichi Pitch Pure'),\n",
              " (654, 'Pokemon: Maboroshi no Pokemon Lugia Bakutan'),\n",
              " (655, 'Pokemon: Kesshoutou no Teiou Entei'),\n",
              " (656, 'Pokemon: Celebi Toki wo Koeta Deai'),\n",
              " (657, 'Pokemon: Mizu no Miyako no Mamorigami Latias to Latios'),\n",
              " (658, 'Pokemon Advanced Generation: Nanayo no Negaiboshi Jirachi'),\n",
              " (659, 'Pokemon Advanced Generation: Rekkuu no Houmonsha Deoxys'),\n",
              " (660, 'UFO Princess Valkyrie'),\n",
              " (661, 'Digimon Frontier'),\n",
              " (662, 'Tenchi Muyou! GXP'),\n",
              " (663, 'Munto: Toki no Kabe wo Koete'),\n",
              " (664, 'Mushrambo'),\n",
              " (665, 'Medarot'),\n",
              " (666, 'Giniro no Kami no Agito'),\n",
              " (667, 'Hachimitsu to Clover II'),\n",
              " (668, '.hack//Intermezzo'),\n",
              " (669, 'Tenchi Muyou! in Love 2: Haruka Naru Omoi'),\n",
              " (670, 'Tenchi Muyou! Ryououki: Omatsuri Zenjitsu no Yoru!'),\n",
              " (671, 'Final Fantasy: Unlimited'),\n",
              " (672, 'Mahou Senshi Louie'),\n",
              " (673, 'Slayers Special'),\n",
              " (674, 'Slayers Excellent'),\n",
              " (675, 'Slayers Try'),\n",
              " (676, 'Munto'),\n",
              " (677, 'Alien 9'),\n",
              " (678, 'DNA² OVA'),\n",
              " (679, 'Prince of Tennis: A Day on Survival Mountain'),\n",
              " (680, 'Saber Marionette J Again'),\n",
              " (681, 'Kakurenbo'),\n",
              " (682, 'Coyote Ragtime Show'),\n",
              " (683, 'Zero no Tsukaima'),\n",
              " (684, 'Tsuyokiss'),\n",
              " (685, 'Ar Tonelico: Sekai no Owari de Utai Tsuzukeru Shoujo'),\n",
              " (686, 'Aru Tabibito no Nikki'),\n",
              " (687, 'NHK ni Youkoso!'),\n",
              " (688, 'Macross Plus Movie Edition'),\n",
              " (689, 'Oban Star-Racers'),\n",
              " (690, 'Mobile Suit Gundam Seed C.E.73: Stargazer'),\n",
              " (691, 'Tonagura!'),\n",
              " (692, 'Chocotto Sister'),\n",
              " (693, 'Bokura ga Ita'),\n",
              " (694, '3x3 Eyes Seima Densetsu'),\n",
              " (695, 'Innocent Venus'),\n",
              " (696, 'Saber Marionette J to X'),\n",
              " (697, 'One Piece: Oounabara ni Hirake! Dekkai Dekkai Chichi no Yume!'),\n",
              " (698, 'One Piece: Mamore! Saigo no Dai Butai'),\n",
              " (699, 'Bishoujo Senshi Sailor Moon SuperS'),\n",
              " (700,\n",
              "  'Bishoujo Senshi Sailor Moon SuperS: Sailor 9 Senshi Shuuketsu! Black Dream Hole no Kiseki'),\n",
              " (701, 'Mobile Suit Gundam Seed Destiny Final Plus: The Chosen Future'),\n",
              " (702, 'Night Head Genesis'),\n",
              " (703, 'Erementar Gerad'),\n",
              " (704, 'Fushigi no Umi no Nadia'),\n",
              " (705, 'Saint Seiya: Meiou Hades Meikai-hen'),\n",
              " (706, 'Saint Seiya'),\n",
              " (707, 'Saint Seiya: Shinku no Shounen Densetsu'),\n",
              " (708, 'Saint Seiya: Jashin Eris'),\n",
              " (709, 'Saint Seiya: Meiou Hades Juuni Kyuu-hen'),\n",
              " (710, 'Saint Seiya: Kamigami no Atsuki Tatakai'),\n",
              " (711, 'Saint Seiya: Tenkai-hen Josou - Overture'),\n",
              " (712, 'Saint Seiya: Saishuu Seisen no Senshi-tachi'),\n",
              " (713, 'Yoroiden Samurai Troopers'),\n",
              " (714, 'Bishoujo Senshi Sailor Moon SuperS Gaiden: Ami-chan no Hatsukoi'),\n",
              " (715, 'Gakkou no Kaidan'),\n",
              " (716, 'Afro Samurai'),\n",
              " (717, 'The Animatrix'),\n",
              " (718, 'Chobits Recap'),\n",
              " (719, 'Digimon Adventure 02'),\n",
              " (720, 'Ghost in the Shell: Stand Alone Complex - Tachikoma na Hibi'),\n",
              " (721, 'Bubblegum Crisis'),\n",
              " (722, 'Hokuto no Ken Movie'),\n",
              " (723, 'Final Fantasy: The Spirits Within'),\n",
              " (724, 'Street Fighter II: The Movie'),\n",
              " (725, 'Detective Conan Movie 04: Captured in Her Eyes'),\n",
              " (726, 'Detective Conan Movie 05: Countdown to Heaven'),\n",
              " (727, 'Detective Conan Movie 06: The Phantom of Baker Street'),\n",
              " (728, 'Detective Conan Movie 07: Crossroad in the Ancient Capital'),\n",
              " (729, 'Detective Conan Movie 08: Magician of the Silver Sky'),\n",
              " (730,\n",
              "  'Detective Conan OVA 06: Follow the Vanished Diamond! Conan &amp; Heiji vs. Kid!'),\n",
              " (731, 'Detective Conan OVA 01: Conan vs. Kid vs. Yaiba'),\n",
              " (732, 'Taiho Shichau zo (1996)'),\n",
              " (733, 'Kyoushoku Soukou Guyver (2005)'),\n",
              " (734, 'Kino no Tabi: Nanika wo Suru Tame ni - Life Goes On.'),\n",
              " (735, 'Blue Gender: The Warrior'),\n",
              " (736, 'Kyuuketsuhime Miyu'),\n",
              " (737, 'Macross 7'),\n",
              " (738, 'Bible Black: New Testament'),\n",
              " (739, 'Kao no nai Tsuki'),\n",
              " (740, 'Lupin III'),\n",
              " (741, 'Lupin III: Cagliostro no Shiro'),\n",
              " (742, 'Maison Ikkoku'),\n",
              " (743, 'Kemonozume'),\n",
              " (744, 'Memories'),\n",
              " (745, 'Monster Farm: Enbanseki no Himitsu'),\n",
              " (746, 'City Hunter'),\n",
              " (747, 'D.Gray-man'),\n",
              " (748, 'Kodomo no Omocha (TV)'),\n",
              " (749, '.hack//Unison'),\n",
              " (750, 'Fushigi no Kuni no Miyuki-chan'),\n",
              " (751, 'Black Blood Brothers'),\n",
              " (752, 'Detective Conan Movie 09: Strategy Above the Depths'),\n",
              " (753, 'Detective Conan Movie 10: Requiem of the Detectives'),\n",
              " (754, 'Mamotte! Lollipop'),\n",
              " (755, 'Black Lagoon: The Second Barrage'),\n",
              " (756, 'Pokemon Crystal: Raikou Ikazuchi no Densetsu'),\n",
              " (757, 'Pokemon Advanced Generation: Mew to Hadou no Yuusha Lucario'),\n",
              " (758, 'Pokemon: Senritsu no Mirage Pokemon'),\n",
              " (759, 'Kanon (2006)'),\n",
              " (760, 'Shakugan no Shana SP: Koi to Onsen no Kougai Gakushuu!'),\n",
              " (761, 'Suki na Mono wa Suki Dakara Shou ga Nai!!'),\n",
              " (762, 'Ai Tenshi Densetsu Wedding Peach'),\n",
              " (763, 'Death Note'),\n",
              " (764, 'Busou Renkin'),\n",
              " (765, 'Pumpkin Scissors'),\n",
              " (766, 'Yoake Mae yori Ruriiro na: Crescent Love'),\n",
              " (767, 'Negima!?'),\n",
              " (768, 'Asatte no Houkou.'),\n",
              " (769, 'Tokimeki Memorial: Only Love'),\n",
              " (770, 'Kikoushi Enma'),\n",
              " (771, 'Shounen Onmyouji'),\n",
              " (772, 'Shijou Saikyou no Deshi Kenichi'),\n",
              " (773, 'Yamato Nadeshiko Shichihenge♥'),\n",
              " (774, 'Magic Knight Rayearth II'),\n",
              " (775, 'Pokemon Advanced Generation'),\n",
              " (776, 'Pokemon Diamond &amp; Pearl'),\n",
              " (777, 'Ghost in the Shell: Stand Alone Complex - Solid State Society'),\n",
              " (778, 'Sumomomo Momomo: Chijou Saikyou no Yome'),\n",
              " (779, 'Otome wa Boku ni Koishiteru'),\n",
              " (780, 'Happiness!'),\n",
              " (781, 'Ghost Hunt'),\n",
              " (782, 'Code Geass: Hangyaku no Lelouch'),\n",
              " (783, 'Bakumatsu Kikansetsu Irohanihoheto'),\n",
              " (784, 'Kiniro no Corda: Primo Passo'),\n",
              " (785, 'Gift: Eternal Rainbow'),\n",
              " (786, 'Mamoru-kun ni Megami no Shukufuku wo!'),\n",
              " (787, 'Bartender'),\n",
              " (788, 'Azumanga Web Daioh'),\n",
              " (789, 'Jigoku Shoujo Futakomori'),\n",
              " (790, 'Red Garden'),\n",
              " (791, 'Soukou no Strain'),\n",
              " (792, 'Katekyo Hitman Reborn!'),\n",
              " (793, 'Kekkaishi'),\n",
              " (794, 'Venus Versus Virus'),\n",
              " (795, 'Mai-Otome Zwei'),\n",
              " (796, 'Captain Tsubasa: Road to 2002'),\n",
              " (797, 'Negima!? Haru Special!?'),\n",
              " (798, 'Eureka Seven: Navigation ray=out'),\n",
              " (799, 'Boku no Pico'),\n",
              " (800, 'Angel&#039;s Feather'),\n",
              " (801, 'Sugar Sugar Rune'),\n",
              " (802, 'Kashimashi: Girl Meets Girl OVA'),\n",
              " (803, 'Bakuten Shoot Beyblade G Revolution'),\n",
              " (804, 'Bakuten Shoot Beyblade 2002'),\n",
              " (805, 'Captain Tsubasa J'),\n",
              " (806, 'Cyborg 009: The Cyborg Soldier'),\n",
              " (807, 'Green Green Specials'),\n",
              " (808, 'Brave Story'),\n",
              " (809, 'Baldr Force Exe Resolution'),\n",
              " (810, 'Duel Masters'),\n",
              " (811, 'Bleach Movie 1: Memories of Nobody'),\n",
              " (812, 'Nanatsu-iro★Drops'),\n",
              " (813, 'Byousoku 5 Centimeter'),\n",
              " (814, 'Bokurano'),\n",
              " (815, 'Kaze no Stigma'),\n",
              " (816, 'Murder Princess'),\n",
              " (817, 'Nodame Cantabile'),\n",
              " (818, 'Romeo x Juliet'),\n",
              " (819, 'Pokemon: Mewtwo! Ware wa Koko ni Ari'),\n",
              " (820, 'Rockman.EXE'),\n",
              " (821, 'Rozen Maiden: Ouvertüre'),\n",
              " (822, 'Hitohira'),\n",
              " (823, 'Nagasarete Airantou'),\n",
              " (824, 'Clannad Movie'),\n",
              " (825, 'Devil May Cry'),\n",
              " (826, 'Shinkyoku Soukai Polyphonica'),\n",
              " (827, 'Maria-sama ga Miteru 3rd'),\n",
              " (828, 'Tales of Symphonia The Animation: Sylvarant-hen'),\n",
              " (829, 'Negima!? Natsu Special!?'),\n",
              " (830, 'Ajimu: Kaigan Monogatari'),\n",
              " (831, 'Muteki Kanban Musume'),\n",
              " (832, 'Freedom'),\n",
              " (833, 'Amaenaide yo!!: Yasumanaide yo!!'),\n",
              " (834, 'Amaenaide yo!! Katsu!!: Damasarenaide yo!!'),\n",
              " (835, 'Slam Dunk (Movie)'),\n",
              " (836, 'Viper GTS'),\n",
              " (837, 'Prism Ark'),\n",
              " (838, 'Kamichama Karin'),\n",
              " (839, 'Kyoushirou to Towa no Sora'),\n",
              " (840, 'Genshiken OVA'),\n",
              " (841, 'Shakugan no Shana Movie'),\n",
              " (842, 'Sonic X'),\n",
              " (843, 'DearS: Kin no Tama desu no?'),\n",
              " (844, 'Claymore'),\n",
              " (845, 'Hadashi no Gen'),\n",
              " (846, 'Seirei no Moribito'),\n",
              " (847, 'Gedo Senki'),\n",
              " (848, 'Utawarerumono Specials'),\n",
              " (849, 'Shuffle! Memories'),\n",
              " (850, 'Mitsu x Mitsu Drops'),\n",
              " (851, 'Zero no Tsukaima: Futatsuki no Kishi'),\n",
              " (852, 'Major S3'),\n",
              " (853, 'Rec: Yurusarezarumono'),\n",
              " (854, 'Hidamari Sketch'),\n",
              " (855, 'Gakuen Utopia Manabi Straight!'),\n",
              " (856, 'Tokyo Majin Gakuen Kenpucho: Tou'),\n",
              " (857, 'Slam Dunk: Zenkoku Seiha Da! Sakuragi Hanamichi'),\n",
              " (858, 'Strike Witches OVA'),\n",
              " (859, 'Nana Recaps'),\n",
              " (860, 'Lucky☆Star'),\n",
              " (861, 'Ichigo Mashimaro OVA'),\n",
              " (862, 'Higurashi no Naku Koro ni Kai'),\n",
              " (863, 'Clover'),\n",
              " (864, 'Yu☆Gi☆Oh!: Hikari no Pyramid'),\n",
              " (865, 'Akiba Kei Kanojo'),\n",
              " (866, 'Shonan Junai Gumi!'),\n",
              " (867, 'Saiunkoku Monogatari 2nd Season'),\n",
              " (868, 'Mahou Shoujo Lyrical Nanoha StrikerS'),\n",
              " (869, 'Paprika'),\n",
              " (870, 'Photon'),\n",
              " (871, 'Ashita no Nadja'),\n",
              " (872, 'Vampire Hunter'),\n",
              " (873, 'Code Geass: Hangyaku no Lelouch Picture Drama'),\n",
              " (874, 'Rayearth'),\n",
              " (875, 'Ikkitousen: Dragon Destiny'),\n",
              " (876, 'Arashi no Yoru ni'),\n",
              " (877, 'Sola'),\n",
              " (878, 'Glass no Kamen (2005)'),\n",
              " (879, '.hack//Tasogare no Udewa Densetsu: Offline de Aimashou'),\n",
              " (880, 'Tengen Toppa Gurren Lagann'),\n",
              " (881, 'Heroic Age'),\n",
              " (882, 'Yu☆Gi☆Oh! (1999)'),\n",
              " (883,\n",
              "  'One Piece: Nenmatsu Tokubetsu Kikaku! Mugiwara no Luffy Oyabun Torimonochou'),\n",
              " (884, 'Darker than Black: Kuro no Keiyakusha'),\n",
              " (885, 'Hayate no Gotoku!'),\n",
              " (886, 'El Cazador de la Bruja'),\n",
              " (887, 'Shining Tears X Wind'),\n",
              " (888, 'Lovely★Complex'),\n",
              " (889, 'Eikoku Koi Monogatari Emma: Molders-hen'),\n",
              " (890, 'Seto no Hanayome'),\n",
              " (891,\n",
              "  'One Piece Movie 8: Episode of Alabasta - Sabaku no Oujo to Kaizoku-tachi'),\n",
              " (892, 'Rockman.EXE Axess'),\n",
              " (893, 'Over Drive'),\n",
              " (894, 'Captain Tsubasa'),\n",
              " (895, 'Digimon X-Evolution'),\n",
              " (896, 'Code Geass: Hangyaku no Lelouch Recaps'),\n",
              " (897, 'True Tears'),\n",
              " (898, 'Kaibutsu Oujo'),\n",
              " (899, 'Bokusatsu Tenshi Dokuro-chan 2'),\n",
              " (900, 'Inukami! The Movie: Tokumei Reiteki Sousakan Karina Shirou!'),\n",
              " (901, 'Sora no Iro, Mizu no Iro'),\n",
              " (902, 'Front Innocent: Mou Hitotsu no Lady Innocent'),\n",
              " (903, 'Blue Dragon'),\n",
              " (904,\n",
              "  'Naruto Movie 3: Dai Koufun! Mikazuki Jima no Animaru Panikku Dattebayo!'),\n",
              " (905, 'Okane ga Nai'),\n",
              " (906, 'Tanoshii Muumin Ikka'),\n",
              " (907, 'Tekkon Kinkreet'),\n",
              " (908, 'Kono Aozora ni Yakusoku wo: Youkoso Tsugumi Ryou e'),\n",
              " (909, 'Bakugan Battle Brawlers'),\n",
              " (910, 'Terra e... (TV)'),\n",
              " (911, 'Ookiku Furikabutte'),\n",
              " (912, 'Skull Man'),\n",
              " (913, 'AIKa R-16: Virgin Mission'),\n",
              " (914, 'Dennou Coil'),\n",
              " (915, 'Doujin Work'),\n",
              " (916, 'Clannad'),\n",
              " (917, 'Detective Conan Movie 11: Jolly Roger in the Deep Azure'),\n",
              " (918, 'Kino no Tabi: The Beautiful World - Byouki no Kuni - For You'),\n",
              " (919, 'Highlander: The Search for Vengeance'),\n",
              " (920, 'Aa! Megami-sama!: Sorezore no Tsubasa Specials'),\n",
              " (921, 'Pokemon Advanced Generation: Pokemon Ranger to Umi no Ouji Manaphy'),\n",
              " (922, 'Bakuretsu Tenshi: Infinity'),\n",
              " (923, 'Tooi Sekai'),\n",
              " (924, 'Shigurui'),\n",
              " (925, 'Hand Maid May Special'),\n",
              " (926, 'Alps no Shoujo Heidi'),\n",
              " (927, 'Mizu no Kotoba'),\n",
              " (928, 'Toki wo Kakeru Shoujo'),\n",
              " (929, 'Rozen Maiden: Meitantei Kunkun - Duell Walzer'),\n",
              " (930, 'Fuyu no Semi'),\n",
              " (931, 'Mononoke'),\n",
              " (932,\n",
              "  'Naruto: Dai Katsugeki!! Yuki Hime Shinobu Houjou Dattebayo! Special: Konoha Annual Sports Festival'),\n",
              " (933, 'Baccano!'),\n",
              " (934, 'Sonic★the★Hedgehog'),\n",
              " (935, 'Transformers the Movie'),\n",
              " (936, 'Mobile Suit Gundam Wing: Endless Waltz Movie'),\n",
              " (937, 'CLAMP in Wonderland'),\n",
              " (938, 'Mobile Suit Gundam Seed: After-Phase Between the Stars'),\n",
              " (939, 'Hikaru no Go: New Year Special'),\n",
              " (940, 'Pokemon Housoukyoku'),\n",
              " (941, 'Moetan'),\n",
              " (942, 'Rental Magica'),\n",
              " (943, 'One Piece: Jango no Dance Carnival'),\n",
              " (944, 'One Piece: Yume no Soccer Ou!'),\n",
              " (945, 'Digimon Adventure: Bokura no War Game!'),\n",
              " (946, 'Digimon Adventure 02: Diablomon no Gyakushuu'),\n",
              " (947, 'Kodomo no Jikan (TV)'),\n",
              " (948, 'Zombie-Loan'),\n",
              " (949, 'Saigo no Door wo Shimero!'),\n",
              " (950, 'Stranger: Mukou Hadan'),\n",
              " (951, 'Cardcaptor Sakura Specials'),\n",
              " (952, 'Discipline'),\n",
              " (953, 'Ghost in the Shell: Stand Alone Complex 2nd GIG - Individual Eleven'),\n",
              " (954, 'Ghost in the Shell: Stand Alone Complex - The Laughing Man'),\n",
              " (955, 'Naruto: Shippuuden Movie 1'),\n",
              " (956, 'School Days'),\n",
              " (957, 'One Piece: Mezase! Kaizoku Yakyuu Ou'),\n",
              " (958, 'Goshuushou-sama Ninomiya-kun'),\n",
              " (959, 'Slam Dunk: Shouhoku Saidai no Kiki! Moero Sakuragi Hanamichi'),\n",
              " (960,\n",
              "  'Slam Dunk: Hoero Basketman-damashii! Hanamichi to Rukawa no Atsuki Natsu'),\n",
              " (961, 'Genshiken 2'),\n",
              " (962, 'Detective Conan OVA 02: 16 Suspects'),\n",
              " (963, 'Detective Conan OVA 03: Conan and Heiji and the Vanished Boy'),\n",
              " (964, 'Detective Conan OVA 04: Conan and Kid and Crystal Mother'),\n",
              " (965,\n",
              "  'Detective Conan OVA 05: The Target is Kogoro! The Detective Boys&#039; Secret Investigation'),\n",
              " (966, 'Dragon Ball Specials'),\n",
              " (967, 'Shion no Ou'),\n",
              " (968, 'Aria The OVA: Arietta'),\n",
              " (969, 'Code-E'),\n",
              " (970, 'Tsukuyomi: Moon Phase Special'),\n",
              " (971, 'Mobile Suit Gundam 00'),\n",
              " (972, 'Black Cat Special'),\n",
              " (973, 'Kara no Kyoukai 1: Fukan Fuukei'),\n",
              " (974, 'Piano no Mori'),\n",
              " (975, 'D.C.II: Da Capo II'),\n",
              " (976, 'Shinreigari: Ghost Hound'),\n",
              " (977,\n",
              "  'Detective Conan OVA 07: A Challenge from Agasa! Agasa vs. Conan and the Detective Boys'),\n",
              " (978, 'Kenkou Zenrakei Suieibu Umishou'),\n",
              " (979, 'Mushi-Uta'),\n",
              " (980, 'Sky Girls'),\n",
              " (981, 'Sayonara Zetsubou Sensei'),\n",
              " (982, 'Digimon Savers the Movie: Kyuukyoku Power! Burst Mode Hatsudou!!'),\n",
              " (983, 'Otome wa Boku ni Koishiteru Special'),\n",
              " (984, 'One Piece: Straw Hat Theater'),\n",
              " (985, 'Tokyo Majin Gakuen Kenpucho: Tou Dai Ni Maku'),\n",
              " (986, 'Tsubasa: Tokyo Revelations'),\n",
              " (987, 'Potemayo'),\n",
              " (988, 'Vexille: 2077 Nihon Sakoku'),\n",
              " (989, 'Prince of Tennis: The National Tournament Semifinals'),\n",
              " (990, 'Cheonnyeon-yeowoo Yeowoobi'),\n",
              " (991, 'Evangelion: 1.0 You Are (Not) Alone'),\n",
              " (992, 'CLAMP in Wonderland 2'),\n",
              " (993, 'Juushin Enbu: Hero Tales'),\n",
              " (994, 'Shakugan no Shana II (Second)'),\n",
              " (995, 'Dragonaut: The Resonance'),\n",
              " (996, 'Hatsu Inu The Animation'),\n",
              " (997, 'Candy Candy'),\n",
              " (998, 'Ani*Kuri15'),\n",
              " (999, 'Pokemon Fushigi no Dungeon: Shutsudou Pokemon Kyuujotai Ganbaruzu!'),\n",
              " ...]"
            ]
          },
          "metadata": {},
          "execution_count": 75
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "animes_to_idx = {title: i for i, title in enumerate(list(animes.set_index('anime_id').loc[movie_user_mtx.index]['name']))}\n",
        "animes_to_idx"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "94thl-PaEQUe",
        "outputId": "c89a8431-6b3a-424c-c276-e8c5b5d141a1"
      },
      "execution_count": 77,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'Cowboy Bebop': 0,\n",
              " 'Cowboy Bebop: Tengoku no Tobira': 1,\n",
              " 'Trigun': 2,\n",
              " 'Witch Hunter Robin': 3,\n",
              " 'Beet the Vandel Buster': 4,\n",
              " 'Eyeshield 21': 5,\n",
              " 'Hachimitsu to Clover': 6,\n",
              " 'Hungry Heart: Wild Striker': 7,\n",
              " 'Initial D Fourth Stage': 8,\n",
              " 'Monster': 9,\n",
              " 'Naruto': 10,\n",
              " 'Prince of Tennis': 11,\n",
              " 'School Rumble': 12,\n",
              " 'Sunabouzu': 13,\n",
              " 'Texhnolyze': 14,\n",
              " 'Trinity Blood': 15,\n",
              " 'Yakitate!! Japan': 16,\n",
              " 'Neon Genesis Evangelion': 17,\n",
              " 'Neon Genesis Evangelion: Death &amp; Rebirth': 18,\n",
              " 'Neon Genesis Evangelion: The End of Evangelion': 19,\n",
              " 'Berserk': 20,\n",
              " 'Ghost in the Shell': 21,\n",
              " 'Rurouni Kenshin: Meiji Kenkaku Romantan - Tsuioku-hen': 22,\n",
              " 'Rurouni Kenshin: Meiji Kenkaku Romantan': 23,\n",
              " 'Rurouni Kenshin: Meiji Kenkaku Romantan - Ishinshishi e no Chinkonka': 24,\n",
              " 'Akira': 25,\n",
              " '.hack//Sign': 26,\n",
              " 'Aa! Megami-sama!': 27,\n",
              " 'Aa! Megami-sama! (TV)': 28,\n",
              " 'Tenshi Kinryouku': 29,\n",
              " 'Kidou Tenshi Angelic Layer': 30,\n",
              " 'Ai Yori Aoshi': 31,\n",
              " 'Appleseed (Movie)': 32,\n",
              " 'Arc the Lad': 33,\n",
              " 'Avenger': 34,\n",
              " 'Beck': 35,\n",
              " 'Blue Gender': 36,\n",
              " 'Chobits': 37,\n",
              " 'Chrno Crusade': 38,\n",
              " 'D.N.Angel': 39,\n",
              " 'D.C.: Da Capo': 40,\n",
              " 'DearS': 41,\n",
              " 'Rozen Maiden': 42,\n",
              " 'Rozen Maiden: Träumend': 43,\n",
              " 'Azumanga Daioh': 44,\n",
              " 'Basilisk: Kouga Ninpou Chou': 45,\n",
              " 'Black Cat': 46,\n",
              " 'Full Metal Panic!': 47,\n",
              " 'Full Metal Panic? Fumoffu': 48,\n",
              " 'Full Metal Panic! The Second Raid': 49,\n",
              " 'Gakuen Alice': 50,\n",
              " 'Soukyuu no Fafner: Dead Aggressor': 51,\n",
              " 'Mahou Shoujo Lyrical Nanoha': 52,\n",
              " 'Mahou Shoujo Lyrical Nanoha A&#039;s': 53,\n",
              " 'Shuffle!': 54,\n",
              " 'Mobile Suit Gundam': 55,\n",
              " 'Mobile Suit Gundam: The 08th MS Team': 56,\n",
              " 'Mobile Suit Gundam 0080: War in the Pocket': 57,\n",
              " 'Mobile Suit Gundam: The 08th MS Team - Miller&#039;s Report': 58,\n",
              " 'Mobile Suit Gundam 0083: Stardust Memory': 59,\n",
              " 'Mobile Suit Zeta Gundam': 60,\n",
              " 'Mobile Suit Gundam ZZ': 61,\n",
              " 'Mobile Suit Gundam: Char&#039;s Counterattack': 62,\n",
              " 'Mobile Suit Gundam F91': 63,\n",
              " 'Mobile Suit Gundam Wing': 64,\n",
              " 'Mobile Suit Gundam Wing: Endless Waltz': 65,\n",
              " 'After War Gundam X': 66,\n",
              " 'Mobile Suit Gundam Seed': 67,\n",
              " 'Mobile Suit Gundam Seed Destiny': 68,\n",
              " 'Turn A Gundam': 69,\n",
              " 'Mobile Fighter G Gundam': 70,\n",
              " 'Last Exile': 71,\n",
              " 'Mai-HiME': 72,\n",
              " 'Mai-Otome': 73,\n",
              " 'Shin Shirayuki-hime Densetsu Prétear': 74,\n",
              " 'Air': 75,\n",
              " 'Aishiteruze Baby★★': 76,\n",
              " 'Ayashi no Ceres': 77,\n",
              " 'Boys Be...': 78,\n",
              " 'Hana yori Dango': 79,\n",
              " 'Ou Dorobou Jing': 80,\n",
              " 'Ou Dorobou Jing in Seventh Heaven': 81,\n",
              " 'Bakuretsu Tenshi': 82,\n",
              " 'Uchuu no Stellvia': 83,\n",
              " 'Sakigake!! Cromartie Koukou': 84,\n",
              " 'El Hazard: The Wanderers': 85,\n",
              " 'El Hazard: The Magnificent World': 86,\n",
              " 'Final Approach': 87,\n",
              " 'Fruits Basket': 88,\n",
              " 'Fullmetal Alchemist': 89,\n",
              " 'Full Moon wo Sagashite': 90,\n",
              " 'Fushigi Yuugi': 91,\n",
              " 'Fushigi Yuugi: Eikouden': 92,\n",
              " 'Futakoi': 93,\n",
              " 'Futakoi Alternative': 94,\n",
              " 'Gate Keepers': 95,\n",
              " 'Gensoumaden Saiyuuki': 96,\n",
              " 'Saiyuuki Reload': 97,\n",
              " 'Saiyuuki Reload Gunlock': 98,\n",
              " 'GetBackers': 99,\n",
              " 'Green Green': 100,\n",
              " 'Gunslinger Girl': 101,\n",
              " 'Hikaru no Go': 102,\n",
              " 'Hunter x Hunter': 103,\n",
              " 'Hunter x Hunter OVA': 104,\n",
              " 'Hunter x Hunter: Greed Island': 105,\n",
              " 'Hunter x Hunter: Greed Island Final': 106,\n",
              " 'Kamikaze Kaitou Jeanne': 107,\n",
              " 'Kannazuki no Miko': 108,\n",
              " 'Kanon': 109,\n",
              " 'Kareshi Kanojo no Jijou': 110,\n",
              " 'Kono Minikuku mo Utsukushii Sekai': 111,\n",
              " 'Kimi ga Nozomu Eien': 112,\n",
              " 'Loveless': 113,\n",
              " 'Blood+': 114,\n",
              " 'Solty Rei': 115,\n",
              " 'Juuni Kokuki': 116,\n",
              " 'Shaman King': 117,\n",
              " 'X/1999': 118,\n",
              " 'X': 119,\n",
              " 'Mahou Sensei Negima!': 120,\n",
              " 'Maria-sama ga Miteru': 121,\n",
              " 'Boukyaku no Senritsu': 122,\n",
              " 'Ima, Soko ni Iru Boku': 123,\n",
              " 'Peace Maker Kurogane': 124,\n",
              " 'Pita Ten': 125,\n",
              " 'Mononoke Hime': 126,\n",
              " 'RahXephon': 127,\n",
              " 'Samurai 7': 128,\n",
              " 'Scrapped Princess': 129,\n",
              " 's.CRY.ed': 130,\n",
              " 'Shingetsutan Tsukihime': 131,\n",
              " 'Slam Dunk': 132,\n",
              " 'Tactics': 133,\n",
              " 'Tenjou Tenge': 134,\n",
              " 'Tokyo Underground': 135,\n",
              " 'Tsubasa Chronicle': 136,\n",
              " 'Ultra Maniac': 137,\n",
              " 'Vandread': 138,\n",
              " 'Vandread: The Second Stage': 139,\n",
              " 'Tenkuu no Escaflowne': 140,\n",
              " 'Xenosaga The Animation': 141,\n",
              " 'Initial D First Stage': 142,\n",
              " 'Initial D Second Stage': 143,\n",
              " 'Initial D Third Stage': 144,\n",
              " 'Love Hina': 145,\n",
              " 'Love Hina Again': 146,\n",
              " 'Love Hina Christmas Special: Silent Eve': 147,\n",
              " 'Love Hina Haru Special: Kimi Sakura Chiru Nakare!!': 148,\n",
              " 'Maburaho': 149,\n",
              " 'Macross Zero': 150,\n",
              " 'Onegai☆Teacher': 151,\n",
              " 'Onegai☆Twins': 152,\n",
              " 'Rizelmine': 153,\n",
              " 'Speed Grapher': 154,\n",
              " 'Sen to Chihiro no Kamikakushi': 155,\n",
              " 'Tenshi na Konamaiki': 156,\n",
              " 'Video Girl Ai': 157,\n",
              " 'Wolf&#039;s Rain': 158,\n",
              " 'Yumeria': 159,\n",
              " 'Samurai Champloo': 160,\n",
              " 'Lodoss-tou Senki: Eiyuu Kishi Den': 161,\n",
              " 'Lodoss-tou Senki': 162,\n",
              " 'R.O.D OVA': 163,\n",
              " 'R.O.D the TV': 164,\n",
              " 'Ranma ½': 165,\n",
              " 'Kidou Senkan Nadesico': 166,\n",
              " 'Kidou Senkan Nadesico: The Prince of Darkness': 167,\n",
              " 'Mezzo Forte': 168,\n",
              " 'Mezzo DSA': 169,\n",
              " 'Dragon Ball': 170,\n",
              " 'Dragon Ball GT': 171,\n",
              " 'Elfen Lied': 172,\n",
              " 'FLCL': 173,\n",
              " 'Jigoku Shoujo': 174,\n",
              " 'Ninin ga Shinobuden': 175,\n",
              " 'Air Master': 176,\n",
              " 'Cardcaptor Sakura': 177,\n",
              " 'Daa! Daa! Daa!': 178,\n",
              " 'E&#039;s Otherwise': 179,\n",
              " 'Eureka Seven': 180,\n",
              " 'Rekka no Honoo': 181,\n",
              " 'Gankutsuou': 182,\n",
              " 'Genshiken': 183,\n",
              " 'Girls Bravo: First Season': 184,\n",
              " 'Gokusen': 185,\n",
              " 'Gravitation': 186,\n",
              " 'Great Teacher Onizuka': 187,\n",
              " 'Groove Adventure Rave': 188,\n",
              " 'Harukanaru Toki no Naka de: Hachiyou Shou': 189,\n",
              " 'Ichigo 100%': 190,\n",
              " 'InuYasha': 191,\n",
              " 'Konjiki no Gash Bell!!': 192,\n",
              " 'Kyou kara Maou!': 193,\n",
              " 'Madlax': 194,\n",
              " 'Jungle wa Itsumo Hare nochi Guu': 195,\n",
              " 'Jungle wa Itsumo Hare nochi Guu Deluxe': 196,\n",
              " 'Jungle wa Itsumo Hare nochi Guu Final': 197,\n",
              " 'Hoshi no Koe': 198,\n",
              " 'Ikkitousen': 199,\n",
              " 'Hitsuji no Uta': 200,\n",
              " 'Happy☆Lesson (TV)': 201,\n",
              " 'Happy☆Lesson: Advance': 202,\n",
              " 'Hajime no Ippo': 203,\n",
              " 'Hajime no Ippo: Champion Road': 204,\n",
              " 'Hajime no Ippo: Mashiba vs. Kimura': 205,\n",
              " 'Gunparade March: Arata Naru Kougunka': 206,\n",
              " 'Gungrave': 207,\n",
              " 'Golden Boy': 208,\n",
              " 'Bleach': 209,\n",
              " 'Hellsing': 210,\n",
              " 'Noir': 211,\n",
              " 'Mahoutsukai ni Taisetsu na Koto': 212,\n",
              " 'Kiddy Grade': 213,\n",
              " 'Love♥Love?': 214,\n",
              " 'Mahoromatic: Automatic Maiden': 215,\n",
              " 'Mahoromatic 2': 216,\n",
              " 'Kyougoku Natsuhiko: Kousetsu Hyaku Monogatari': 217,\n",
              " 'Akane Maniax': 218,\n",
              " 'Grappler Baki (TV)': 219,\n",
              " 'Bakuten Shoot Beyblade': 220,\n",
              " 'Comic Party': 221,\n",
              " 'Seikai no Monshou': 222,\n",
              " 'D.C.S.S: Da Capo Second Season': 223,\n",
              " 'Dear Boys': 224,\n",
              " 'Di Gi Charat': 225,\n",
              " 'Dragon Drive': 226,\n",
              " 'Grenadier: Hohoemi no Senshi': 227,\n",
              " '.hack//Tasogare no Udewa Densetsu': 228,\n",
              " '.hack//Liminality': 229,\n",
              " '3x3 Eyes': 230,\n",
              " 'Mirai Shounen Conan': 231,\n",
              " 'Aa! Megami-sama!: Chichaitte Koto wa Benri da ne': 232,\n",
              " 'Aa! Megami-sama! Movie': 233,\n",
              " 'Abenobashi Mahou☆Shoutengai': 234,\n",
              " 'Final Fantasy VII: Advent Children': 235,\n",
              " 'Hand Maid May': 236,\n",
              " 'A Kite': 237,\n",
              " 'Najica Dengeki Sakusen': 238,\n",
              " 'Paradise Kiss': 239,\n",
              " 'Mousou Dairinin': 240,\n",
              " 'Peach Girl': 241,\n",
              " 'Petshop of Horrors': 242,\n",
              " 'Planetes': 243,\n",
              " 'Midori no Hibi': 244,\n",
              " 'Marmalade Boy': 245,\n",
              " 'Matantei Loki Ragnarok': 246,\n",
              " 'Rose of Versailles': 247,\n",
              " 'Serial Experiments Lain': 248,\n",
              " 'Mutsu Enmei Ryuu Gaiden: Shura no Toki': 249,\n",
              " 'Spiral: Suiri no Kizuna': 250,\n",
              " 'Tsukuyomi: Moon Phase': 251,\n",
              " 'Eikoku Koi Monogatari Emma': 252,\n",
              " 'W: Wish': 253,\n",
              " 'Binzume Yousei': 254,\n",
              " 'Ojamajo Doremi': 255,\n",
              " 'Shakugan no Shana': 256,\n",
              " 'Fate/stay night': 257,\n",
              " 'Bokusatsu Tenshi Dokuro-chan': 258,\n",
              " 'Iriya no Sora, UFO no Natsu': 259,\n",
              " 'Fake': 260,\n",
              " 'AIKa': 261,\n",
              " 'Bible Black': 262,\n",
              " 'Boogiepop wa Warawanai: Boogiepop Phantom': 263,\n",
              " 'Cardcaptor Sakura Movie 1': 264,\n",
              " 'Cardcaptor Sakura Movie 2: Fuuin Sareta Card': 265,\n",
              " 'Elfen Lied Special': 266,\n",
              " 'Heppoko Jikken Animation Excel♥Saga': 267,\n",
              " 'Fushigi Yuugi OVA': 268,\n",
              " 'Fushigi Yuugi OVA 2': 269,\n",
              " 'Futari Ecchi': 270,\n",
              " 'Galaxy Angel': 271,\n",
              " 'Gantz': 272,\n",
              " 'Gilgamesh': 273,\n",
              " 'Haibane Renmei': 274,\n",
              " 'Karas': 275,\n",
              " 'Suzuka': 276,\n",
              " 'Tales of Phantasia The Animation': 277,\n",
              " 'Yuu☆Yuu☆Hakusho': 278,\n",
              " 'Escaflowne': 279,\n",
              " 'Ai Yori Aoshi: Enishi': 280,\n",
              " 'Gantz 2nd Stage': 281,\n",
              " 'Seikai no Senki': 282,\n",
              " 'Seikai no Senki II': 283,\n",
              " 'Seikai no Senki III': 284,\n",
              " 'Seihou Bukyou Outlaw Star': 285,\n",
              " 'Rurouni Kenshin: Meiji Kenkaku Romantan - Seisou-hen': 286,\n",
              " 'Hanaukyou Maid-tai': 287,\n",
              " 'Bastard!!: Ankoku no Hakaishin': 288,\n",
              " 'Blood: The Last Vampire': 289,\n",
              " 'Buzzer Beater': 290,\n",
              " 'Tantei Gakuen Q': 291,\n",
              " 'Final Fantasy VII: Last Order': 292,\n",
              " 'Gun x Sword': 293,\n",
              " 'Kore ga Watashi no Goshujinsama': 294,\n",
              " 'Hametsu no Mars': 295,\n",
              " 'Tonari no Yamada-kun': 296,\n",
              " 'Kurenai no Buta': 297,\n",
              " 'Ragnarök the Animation': 298,\n",
              " 'Ranma ½: Chuugoku Nekonron Daikessen! Okite Yaburi no Gekitou-hen!!': 299,\n",
              " 'Samurai Deeper Kyou': 300,\n",
              " 'Spriggan': 301,\n",
              " 'Final Fantasy': 302,\n",
              " 'Kaleido Star': 303,\n",
              " 'Kaleido Star: Aratanaru Tsubasa - Extra Stage': 304,\n",
              " 'Kaleido Star: Legend of Phoenix - Layla Hamilton Monogatari': 305,\n",
              " 'Fullmetal Alchemist: The Conqueror of Shamballa': 306,\n",
              " 'Howl no Ugoku Shiro': 307,\n",
              " 'Iria: Zeiram The Animation': 308,\n",
              " 'Kumo no Mukou, Yakusoku no Basho': 309,\n",
              " 'Magic Knight Rayearth': 310,\n",
              " 'Perfect Blue': 311,\n",
              " 'Phantom The Animation': 312,\n",
              " 'Shoujo Kakumei Utena': 313,\n",
              " 'Shoujo Kakumei Utena: Adolescence Mokushiroku': 314,\n",
              " 'Naruto Movie 1: Dai Katsugeki!! Yuki Hime Shinobu Houjou Dattebayo!': 315,\n",
              " 'Onegai☆Teacher: Himitsu na Futari': 316,\n",
              " 'Maria-sama ga Miteru: Haru': 317,\n",
              " 'Tales of Eternia The Animation': 318,\n",
              " 'Weiß Kreuz': 319,\n",
              " 'Tenjou Tenge: The Ultimate Fight': 320,\n",
              " 'InuYasha: Guren no Houraijima': 321,\n",
              " 'InuYasha: Kagami no Naka no Mugenjo': 322,\n",
              " 'InuYasha: Tenka Hadou no Ken': 323,\n",
              " 'InuYasha: Toki wo Koeru Omoi': 324,\n",
              " '.hack//Gift': 325,\n",
              " 'Mushishi': 326,\n",
              " 'One Piece Movie 1': 327,\n",
              " 'One Piece Movie 2: Nejimaki-jima no Daibouken': 328,\n",
              " 'One Piece Movie 3: Chinjuu-jima no Chopper Oukoku': 329,\n",
              " 'One Piece Movie 4: Dead End no Bouken': 330,\n",
              " 'One Piece Movie 5: Norowareta Seiken': 331,\n",
              " 'One Piece Movie 6: Omatsuri Danshaku to Himitsu no Shima': 332,\n",
              " 'One Piece Movie 7: Karakuri-jou no Mecha Kyohei': 333,\n",
              " 'One Piece: Taose! Kaizoku Ganzack': 334,\n",
              " 'Ghost in the Shell: Stand Alone Complex': 335,\n",
              " 'Ghost in the Shell 2: Innocence': 336,\n",
              " 'Karin': 337,\n",
              " 'Okusama wa Joshikousei (TV)': 338,\n",
              " 'To Heart 2': 339,\n",
              " 'To Heart': 340,\n",
              " 'Macross Plus': 341,\n",
              " 'Ginban Kaleidoscope': 342,\n",
              " 'Aria The Animation': 343,\n",
              " 'Sousei no Aquarion': 344,\n",
              " 'The Law of Ueki': 345,\n",
              " 'Yu☆Gi☆Oh! Duel Monsters': 346,\n",
              " 'Yu☆Gi☆Oh!: Duel Monsters GX': 347,\n",
              " 'Kurau Phantom Memory': 348,\n",
              " 'Damekko Doubutsu': 349,\n",
              " 'Kino no Tabi: The Beautiful World': 350,\n",
              " 'Girls Bravo: Second Season': 351,\n",
              " 'Ichigo Mashimaro': 352,\n",
              " 'Kamichu!': 353,\n",
              " 'Paniponi Dash!': 354,\n",
              " 'Armitage III: Dual-Matrix': 355,\n",
              " 'Armitage III: Poly-Matrix': 356,\n",
              " 'Bakuretsu Hunters': 357,\n",
              " 'Yami to Boushi to Hon no Tabibito': 358,\n",
              " 'Doraemon': 359,\n",
              " 'Dragon Ball Movie 1: Shen Long no Densetsu': 360,\n",
              " 'Fatal Fury: The Motion Picture': 361,\n",
              " 'Gravitation: Lyrics of Love': 362,\n",
              " 'Tottoko Hamtarou': 363,\n",
              " 'I My Me! Strawberry Eggs': 364,\n",
              " 'Majo no Takkyuubin': 365,\n",
              " 'Tenkuu no Shiro Laputa': 366,\n",
              " 'Cossette no Shouzou': 367,\n",
              " 'School Rumble Ichi Gakki Hoshuu': 368,\n",
              " 'Mahoraba: Heartful days': 369,\n",
              " 'Mermaid Melody Pichi Pichi Pitch': 370,\n",
              " 'Metropolis': 371,\n",
              " 'Tonari no Totoro': 372,\n",
              " 'Onegai☆Twins: Natsu wa Owaranai': 373,\n",
              " 'Pokemon': 374,\n",
              " 'Pokemon: Mewtwo no Gyakushuu': 375,\n",
              " 'Saishuu Heiki Kanojo': 376,\n",
              " 'Bishoujo Senshi Sailor Moon': 377,\n",
              " 'Bishoujo Senshi Sailor Moon R: The Movie': 378,\n",
              " 'Bishoujo Senshi Sailor Moon S': 379,\n",
              " 'Slayers': 380,\n",
              " 'Slayers Next': 381,\n",
              " 'Slayers: The Motion Picture': 382,\n",
              " 'Tekken': 383,\n",
              " 'Shin Tenchi Muyou!': 384,\n",
              " 'Tenchi Muyou! Ryououki': 385,\n",
              " 'Tenchi Muyou! Ryououki 2nd Season': 386,\n",
              " 'Tenchi Muyou! Ryououki 3rd Season': 387,\n",
              " 'Vampire Hunter D (2000)': 388,\n",
              " 'Wonderful Days': 389,\n",
              " 'Yu☆Gi☆Oh!': 390,\n",
              " 'Grappler Baki: Saidai Tournament-hen': 391,\n",
              " 'Digimon Adventure': 392,\n",
              " 'Yami no Matsuei': 393,\n",
              " 'Koutetsu Tenshi Kurumi': 394,\n",
              " 'Koutetsu Tenshi Kurumi 2': 395,\n",
              " 'Major S2': 396,\n",
              " 'DNA²': 397,\n",
              " 'Puni Puni☆Poemii': 398,\n",
              " 'Steamboy': 399,\n",
              " 'Tetsuwan Birdy': 400,\n",
              " 'The Big O': 401,\n",
              " 'Bubblegum Crisis Tokyo 2040': 402,\n",
              " 'Musekinin Kanchou Tylor': 403,\n",
              " 'Jin-Rou': 404,\n",
              " 'Kaze no Tani no Nausicaä': 405,\n",
              " 'Saber Marionette J': 406,\n",
              " 'Magikano': 407,\n",
              " 'Hotaru no Haka': 408,\n",
              " 'Battle Programmer Shirase': 409,\n",
              " 'Noein: Mou Hitori no Kimi e': 410,\n",
              " 'Mimi wo Sumaseba': 411,\n",
              " 'Ayakashi: Japanese Classic Horror': 412,\n",
              " 'Hanbun no Tsuki ga Noboru Sora': 413,\n",
              " 'Itsudatte My Santa!': 414,\n",
              " 'Ginga Nagareboshi Gin': 415,\n",
              " 'Kage kara Mamoru!': 416,\n",
              " 'Amaenaide yo!!': 417,\n",
              " 'Mugen no Ryvius': 418,\n",
              " 'Naruto: Takigakure no Shitou - Ore ga Eiyuu Dattebayo!': 419,\n",
              " 'X OVA': 420,\n",
              " 'Chobits: Chibits': 421,\n",
              " 'Neko no Ongaeshi': 422,\n",
              " 'Nekojiru-sou': 423,\n",
              " 'Futari wa Precure': 424,\n",
              " 'Saishuu Heiki Kanojo: Another Love Song': 425,\n",
              " 'Popotan': 426,\n",
              " 'Nurse Witch Komugi-chan Magikarte': 427,\n",
              " 'Juubee Ninpuuchou': 428,\n",
              " 'Juubee Ninpuuchou: Ryuuhougyoku-hen': 429,\n",
              " 'Mermaid Forest': 430,\n",
              " 'Night Walker: Mayonaka no Tantei': 431,\n",
              " 'Mouse': 432,\n",
              " 'Major S1': 433,\n",
              " 'Mahoromatic Summer Special': 434,\n",
              " 'Koi Kaze': 435,\n",
              " 'Juubee-chan: Lovely Gantai no Himitsu': 436,\n",
              " 'Iketeru Futari': 437,\n",
              " 'Ichigo 100% Special 2': 438,\n",
              " 'Ichigo 100%: Koi ga Hajimaru?! Satsuei Gasshuku - Yureru Kokoro ga Higashi e Nishi e': 439,\n",
              " 'Hachimitsu to Clover Specials': 440,\n",
              " 'Hikaru no Go: Journey to the North Star Cup': 441,\n",
              " 'Hanaukyou Maid-tai: La Verite': 442,\n",
              " 'Gunsmith Cats': 443,\n",
              " 'Green Green Thirteen: Erolutions': 444,\n",
              " 'Air in Summer': 445,\n",
              " 'Touhai Densetsu Akagi: Yami ni Maiorita Tensai': 446,\n",
              " 'Azumanga Daioh: Gekijou Tanpen': 447,\n",
              " 'Fullmetal Alchemist: Reflections': 448,\n",
              " 'JoJo no Kimyou na Bouken: Adventure': 449,\n",
              " 'JoJo no Kimyou na Bouken': 450,\n",
              " 'Kashimashi: Girl Meets Girl': 451,\n",
              " 'Kujibiki Unbalance': 452,\n",
              " 'Lamune': 453,\n",
              " 'Mai-HiME Specials': 454,\n",
              " 'Tokyo Mew Mew': 455,\n",
              " 'Uta Kata': 456,\n",
              " 'Kyuuketsuhime Miyu (TV)': 457,\n",
              " 'Canvas 2: Niji-iro no Sketch': 458,\n",
              " 'Tenchi Muyou!': 459,\n",
              " 'Kanon Kazahana': 460,\n",
              " 'Rec': 461,\n",
              " 'Air Movie': 462,\n",
              " 'Ai no Kusabi': 463,\n",
              " 'Princess Tutu': 464,\n",
              " 'Enzai': 465,\n",
              " 'Interstella5555: The 5tory of The 5ecret 5tar 5ystem': 466,\n",
              " 'Vampire Hunter D': 467,\n",
              " 'Keiraku no Houteishiki Level-C': 468,\n",
              " 'MÄR': 469,\n",
              " 'Bishoujo Senshi Sailor Moon R': 470,\n",
              " 'Sensitive Pornograph': 471,\n",
              " 'Umi ga Kikoeru': 472,\n",
              " 'Papa to Kiss in the Dark': 473,\n",
              " 'Haru wo Daite Ita': 474,\n",
              " 'Boku no Sexual Harassment': 475,\n",
              " 'School Days ONA': 476,\n",
              " 'RahXephon: Pluralitas Concentio': 477,\n",
              " 'Tokyo Godfathers': 478,\n",
              " 'Tenjou Tenge: The Past Chapter': 479,\n",
              " 'Naruto: Akaki Yotsuba no Clover wo Sagase': 480,\n",
              " 'Bleach: Memories in the Rain': 481,\n",
              " 'Zoids': 482,\n",
              " 'Zoids Shinseiki/Zero': 483,\n",
              " 'Pale Cocoon': 484,\n",
              " 'Hellsing Ultimate': 485,\n",
              " 'Detective Conan Movie 01: The Timed Skyscraper': 486,\n",
              " 'Detective Conan Movie 02: The Fourteenth Target': 487,\n",
              " 'Detective Conan Movie 03: The Last Wizard of the Century': 488,\n",
              " 'Otaku no Video': 489,\n",
              " 'Eiken: Eikenbu yori Ai wo Komete': 490,\n",
              " 'Shinigami no Ballad.': 491,\n",
              " 'Ergo Proxy': 492,\n",
              " 'Ranma ½: Kessen Tougenkyou! Hanayome wo Torimodose!': 493,\n",
              " 'xxxHOLiC Movie: Manatsu no Yoru no Yume': 494,\n",
              " 'Hanaukyou Maid-tai OVA': 495,\n",
              " 'NieA Under 7': 496,\n",
              " 'Ghost in the Shell: Stand Alone Complex 2nd GIG': 497,\n",
              " 'Tsubasa Chronicle: Tori Kago no Kuni no Himegimi': 498,\n",
              " 'I&#039;&#039;s Pure': 499,\n",
              " 'Chikyuu Shoujo Arjuna': 500,\n",
              " 'Dragon Ball Z': 501,\n",
              " 'Prince of Tennis: Atobe&#039;s Gift': 502,\n",
              " 'Prince of Tennis: The Two Samurai, The First Game': 503,\n",
              " 'Boku wa Imouto ni Koi wo Suru': 504,\n",
              " 'Ginga Eiyuu Densetsu': 505,\n",
              " 'Initial D Battle Stage': 506,\n",
              " 'Initial D Extra Stage': 507,\n",
              " 'King of Fighters: Another Day': 508,\n",
              " 'Sexfriend': 509,\n",
              " 'Chicchana Yukitsukai Sugar': 510,\n",
              " 'Bleach: The Sealed Sword Frenzy': 511,\n",
              " 'Sister Princess': 512,\n",
              " 'Kyou no 5 no 2': 513,\n",
              " 'Narutaru: Mukuro Naru Hoshi Tama Taru Ko': 514,\n",
              " 'Narue no Sekai': 515,\n",
              " 'Colorful': 516,\n",
              " 'Kiba': 517,\n",
              " 'School Rumble Ni Gakki': 518,\n",
              " 'Suzumiya Haruhi no Yuuutsu': 519,\n",
              " 'Gakuen Heaven': 520,\n",
              " 'Ouran Koukou Host Club': 521,\n",
              " 'Soul Link': 522,\n",
              " 'Strawberry Panic': 523,\n",
              " 'Utawarerumono': 524,\n",
              " 'Air Gear': 525,\n",
              " 'Digimon Savers': 526,\n",
              " 'Makai Senki Disgaea': 527,\n",
              " 'xxxHOLiC': 528,\n",
              " 'Joshikousei: Girl&#039;s High': 529,\n",
              " 'Mobile Suit Gundam Seed MSV Astray': 530,\n",
              " 'Slayers Premium': 531,\n",
              " 'Slayers Gorgeous': 532,\n",
              " 'Slayers Great': 533,\n",
              " 'Slayers Return': 534,\n",
              " 'Dragon Half': 535,\n",
              " '.hack//Roots': 536,\n",
              " 'Digimon Tamers': 537,\n",
              " 'Mind Game': 538,\n",
              " 'Street Fighter II V': 539,\n",
              " 'Nana': 540,\n",
              " 'Zegapain': 541,\n",
              " 'Simoun': 542,\n",
              " 'Aa! Megami-sama!: Sorezore no Tsubasa': 543,\n",
              " 'Green Green OVA': 544,\n",
              " 'Yuu☆Yuu☆Hakusho (Movie)': 545,\n",
              " 'Yuu☆Yuu☆Hakusho: Meikai Shitou-hen - Honoo no Kizuna': 546,\n",
              " 'Shin Angyo Onshi': 547,\n",
              " 'Tenshi no Tamago': 548,\n",
              " 'Amaenaide yo!! Katsu!!': 549,\n",
              " 'Megami Kouhosei': 550,\n",
              " 'Black Lagoon': 551,\n",
              " 'Dragon Ball Movie 2: Majinjou no Nemuri Hime': 552,\n",
              " 'Dragon Ball Movie 3: Makafushigi Daibouken': 553,\n",
              " 'Dragon Ball Movie 4: Saikyou e no Michi': 554,\n",
              " 'Dragon Ball Z Movie 01: Ora no Gohan wo Kaese!!': 555,\n",
              " 'Dragon Ball Z Movie 02: Kono Yo de Ichiban Tsuyoi Yatsu': 556,\n",
              " 'Dragon Ball Z Movie 03: Chikyuu Marugoto Choukessen': 557,\n",
              " 'Dragon Ball Z Movie 04: Super Saiyajin da Son Gokuu': 558,\n",
              " 'Dragon Ball Z Movie 05: Tobikkiri no Saikyou tai Saikyou': 559,\n",
              " 'Dragon Ball Z Movie 06: Gekitotsu!! 100-oku Power no Senshi-tachi': 560,\n",
              " 'Dragon Ball Z Movie 07: Kyokugen Battle!! Sandai Super Saiyajin': 561,\n",
              " 'Dragon Ball Z Movie 08: Moetsukiro!! Nessen, Ressen, Chougekisen': 562,\n",
              " 'Dragon Ball Z Movie 09: Ginga Girigiri!! Bucchigiri no Sugoi Yatsu': 563,\n",
              " 'Dragon Ball Z Movie 10: Kiken na Futari! Super Senshi wa Nemurenai': 564,\n",
              " 'Dragon Ball Z Movie 11: Super Senshi Gekiha!! Katsu no wa Ore da': 565,\n",
              " 'Dragon Ball Z Movie 12: Fukkatsu no Fusion!! Gokuu to Vegeta': 566,\n",
              " 'Dragon Ball Z Movie 13: Ryuuken Bakuhatsu!! Goku ga Yaraneba Dare ga Yaru': 567,\n",
              " 'Princess Princess': 568,\n",
              " 'Fullmetal Alchemist: Premium Collection': 569,\n",
              " 'Himawari!': 570,\n",
              " 'Tokkou': 571,\n",
              " 'Gintama': 572,\n",
              " 'Dai Mahou Touge': 573,\n",
              " 'Higurashi no Naku Koro ni': 574,\n",
              " 'Witchblade': 575,\n",
              " 'Naruto Movie 2: Dai Gekitotsu! Maboroshi no Chiteiiseki Dattebayo!': 576,\n",
              " 'Appleseed': 577,\n",
              " 'Inukami!': 578,\n",
              " 'Renkin San-kyuu Magical? Pokaan': 579,\n",
              " 'The Third: Aoi Hitomi no Shoujo': 580,\n",
              " 'Top wo Nerae! Gunbuster': 581,\n",
              " 'Street Fighter Alpha: Generations': 582,\n",
              " 'Jyu Oh Sei': 583,\n",
              " 'Saiunkoku Monogatari': 584,\n",
              " 'Aria The Natural': 585,\n",
              " 'Love Hina: Motoko no Sentaku, Koi ka Ken... &quot;Naku na&quot;': 586,\n",
              " 'Hokuto no Ken': 587,\n",
              " 'Tsubasa Chronicle 2nd Season': 588,\n",
              " 'Bible Black Gaiden': 589,\n",
              " 'Dead Leaves': 590,\n",
              " 'Street Fighter Zero The Animation': 591,\n",
              " 'Ichigo 100% OVA': 592,\n",
              " 'Cosplay Complex': 593,\n",
              " 'Dragon Ball Z: Saiya-jin Zetsumetsu Keikaku': 594,\n",
              " 'Dragon Ball Z Special 2: Zetsubou e no Hankou!! Nokosareta Chousenshi - Gohan to Trunks': 595,\n",
              " 'Dragon Ball Z Special 1: Tatta Hitori no Saishuu Kessen': 596,\n",
              " 'Dragon Ball GT: Goku Gaiden! Yuuki no Akashi wa Suushinchuu': 597,\n",
              " 'Kamisama Kazoku': 598,\n",
              " 'Dual Parallel! Trouble Adventures': 599,\n",
              " 'Prince of Tennis: The National Tournament': 600,\n",
              " 'Bishoujo Senshi Sailor Moon: Sailor Stars': 601,\n",
              " 'Bishoujo Senshi Sailor Moon S: Kaguya Hime no Koibito': 602,\n",
              " 'Blue Seed': 603,\n",
              " 'Top wo Nerae 2! Diebuster': 604,\n",
              " 'Aa! Megami-sama! (TV) Specials': 605,\n",
              " 'Kanojo to Kanojo no Neko': 606,\n",
              " 'Star Ocean EX': 607,\n",
              " 'Tenchi Muyou! in Love': 608,\n",
              " 'Ranma ½ OVA': 609,\n",
              " 'Ranma ½ Specials': 610,\n",
              " 'Ranma ½: Chou Musabetsu Kessen! Ranma Team vs. Densetsu no Houou': 611,\n",
              " 'Ranma ½ Super': 612,\n",
              " 'Le Chevalier D&#039;Eon': 613,\n",
              " 'Full Metal Panic! The Second Raid: Wari to Hima na Sentaichou no Ichinichi': 614,\n",
              " 'Gunnm': 615,\n",
              " 'Majutsushi Orphen': 616,\n",
              " 'Honoo no Mirage': 617,\n",
              " 'Wolf&#039;s Rain OVA': 618,\n",
              " 'Kachou Ouji': 619,\n",
              " 'Omoide Poroporo': 620,\n",
              " 'Heisei Tanuki Gassen Ponpoko': 621,\n",
              " 'Sennen Joyuu': 622,\n",
              " 'Ouritsu Uchuugun: Honneamise no Tsubasa': 623,\n",
              " 'Zetsuai 1989': 624,\n",
              " 'Bronze: Zetsuai Since 1989': 625,\n",
              " 'Tokyo Babylon': 626,\n",
              " 'Elf wo Karu Mono-tachi': 627,\n",
              " 'Elf wo Karu Mono-tachi II': 628,\n",
              " 'On Your Mark': 629,\n",
              " 'The SoulTaker: Tamashii-gari': 630,\n",
              " 'Bobobo-bo Bo-bobo': 631,\n",
              " 'Ao no 6-gou': 632,\n",
              " 'Blame!': 633,\n",
              " 'Oruchuban Ebichu': 634,\n",
              " 'Shakugan no Shana Specials': 635,\n",
              " 'Kishin Houkou Demonbane (TV)': 636,\n",
              " 'Sweat Punch': 637,\n",
              " 'Naruto Narutimate Hero 3: Tsuini Gekitotsu! Jounin vs. Genin!! Musabetsu Dairansen taikai Kaisai!!': 638,\n",
              " 'Cardcaptor Sakura: Leave It to Kero-chan': 639,\n",
              " 'Armitage III': 640,\n",
              " 'Kenran Butou Sai: The Mars Daybreak': 641,\n",
              " 'Macross': 642,\n",
              " 'Macross: Do You Remember Love?': 643,\n",
              " 'Mobile Suit Gundam I': 644,\n",
              " 'Mobile Suit Gundam II: Soldiers of Sorrow': 645,\n",
              " 'Mobile Suit Gundam III: Encounters in Space': 646,\n",
              " 'One Piece: Umi no Heso no Daibouken-hen': 647,\n",
              " 'Mobile Police Patlabor: The Movie': 648,\n",
              " 'Mobile Police Patlabor 2: The Movie': 649,\n",
              " 'Tenchi Muyou! Manatsu no Eve': 650,\n",
              " 'Youjuu Toshi': 651,\n",
              " 'Senkaiden Houshin Engi': 652,\n",
              " 'Mermaid Melody Pichi Pichi Pitch Pure': 653,\n",
              " 'Pokemon: Maboroshi no Pokemon Lugia Bakutan': 654,\n",
              " 'Pokemon: Kesshoutou no Teiou Entei': 655,\n",
              " 'Pokemon: Celebi Toki wo Koeta Deai': 656,\n",
              " 'Pokemon: Mizu no Miyako no Mamorigami Latias to Latios': 657,\n",
              " 'Pokemon Advanced Generation: Nanayo no Negaiboshi Jirachi': 658,\n",
              " 'Pokemon Advanced Generation: Rekkuu no Houmonsha Deoxys': 659,\n",
              " 'UFO Princess Valkyrie': 660,\n",
              " 'Digimon Frontier': 661,\n",
              " 'Tenchi Muyou! GXP': 662,\n",
              " 'Munto: Toki no Kabe wo Koete': 663,\n",
              " 'Mushrambo': 664,\n",
              " 'Medarot': 665,\n",
              " 'Giniro no Kami no Agito': 666,\n",
              " 'Hachimitsu to Clover II': 667,\n",
              " '.hack//Intermezzo': 668,\n",
              " 'Tenchi Muyou! in Love 2: Haruka Naru Omoi': 669,\n",
              " 'Tenchi Muyou! Ryououki: Omatsuri Zenjitsu no Yoru!': 670,\n",
              " 'Final Fantasy: Unlimited': 671,\n",
              " 'Mahou Senshi Louie': 672,\n",
              " 'Slayers Special': 673,\n",
              " 'Slayers Excellent': 674,\n",
              " 'Slayers Try': 675,\n",
              " 'Munto': 676,\n",
              " 'Alien 9': 677,\n",
              " 'DNA² OVA': 678,\n",
              " 'Prince of Tennis: A Day on Survival Mountain': 679,\n",
              " 'Saber Marionette J Again': 680,\n",
              " 'Kakurenbo': 681,\n",
              " 'Coyote Ragtime Show': 682,\n",
              " 'Zero no Tsukaima': 683,\n",
              " 'Tsuyokiss': 684,\n",
              " 'Ar Tonelico: Sekai no Owari de Utai Tsuzukeru Shoujo': 685,\n",
              " 'Aru Tabibito no Nikki': 686,\n",
              " 'NHK ni Youkoso!': 687,\n",
              " 'Macross Plus Movie Edition': 688,\n",
              " 'Oban Star-Racers': 689,\n",
              " 'Mobile Suit Gundam Seed C.E.73: Stargazer': 690,\n",
              " 'Tonagura!': 691,\n",
              " 'Chocotto Sister': 692,\n",
              " 'Bokura ga Ita': 693,\n",
              " '3x3 Eyes Seima Densetsu': 694,\n",
              " 'Innocent Venus': 695,\n",
              " 'Saber Marionette J to X': 696,\n",
              " 'One Piece: Oounabara ni Hirake! Dekkai Dekkai Chichi no Yume!': 697,\n",
              " 'One Piece: Mamore! Saigo no Dai Butai': 698,\n",
              " 'Bishoujo Senshi Sailor Moon SuperS': 699,\n",
              " 'Bishoujo Senshi Sailor Moon SuperS: Sailor 9 Senshi Shuuketsu! Black Dream Hole no Kiseki': 700,\n",
              " 'Mobile Suit Gundam Seed Destiny Final Plus: The Chosen Future': 701,\n",
              " 'Night Head Genesis': 702,\n",
              " 'Erementar Gerad': 703,\n",
              " 'Fushigi no Umi no Nadia': 704,\n",
              " 'Saint Seiya: Meiou Hades Meikai-hen': 705,\n",
              " 'Saint Seiya': 706,\n",
              " 'Saint Seiya: Shinku no Shounen Densetsu': 707,\n",
              " 'Saint Seiya: Jashin Eris': 708,\n",
              " 'Saint Seiya: Meiou Hades Juuni Kyuu-hen': 709,\n",
              " 'Saint Seiya: Kamigami no Atsuki Tatakai': 710,\n",
              " 'Saint Seiya: Tenkai-hen Josou - Overture': 711,\n",
              " 'Saint Seiya: Saishuu Seisen no Senshi-tachi': 712,\n",
              " 'Yoroiden Samurai Troopers': 713,\n",
              " 'Bishoujo Senshi Sailor Moon SuperS Gaiden: Ami-chan no Hatsukoi': 714,\n",
              " 'Gakkou no Kaidan': 715,\n",
              " 'Afro Samurai': 716,\n",
              " 'The Animatrix': 717,\n",
              " 'Chobits Recap': 718,\n",
              " 'Digimon Adventure 02': 719,\n",
              " 'Ghost in the Shell: Stand Alone Complex - Tachikoma na Hibi': 720,\n",
              " 'Bubblegum Crisis': 721,\n",
              " 'Hokuto no Ken Movie': 722,\n",
              " 'Final Fantasy: The Spirits Within': 723,\n",
              " 'Street Fighter II: The Movie': 724,\n",
              " 'Detective Conan Movie 04: Captured in Her Eyes': 725,\n",
              " 'Detective Conan Movie 05: Countdown to Heaven': 726,\n",
              " 'Detective Conan Movie 06: The Phantom of Baker Street': 727,\n",
              " 'Detective Conan Movie 07: Crossroad in the Ancient Capital': 728,\n",
              " 'Detective Conan Movie 08: Magician of the Silver Sky': 729,\n",
              " 'Detective Conan OVA 06: Follow the Vanished Diamond! Conan &amp; Heiji vs. Kid!': 730,\n",
              " 'Detective Conan OVA 01: Conan vs. Kid vs. Yaiba': 731,\n",
              " 'Taiho Shichau zo (1996)': 732,\n",
              " 'Kyoushoku Soukou Guyver (2005)': 733,\n",
              " 'Kino no Tabi: Nanika wo Suru Tame ni - Life Goes On.': 734,\n",
              " 'Blue Gender: The Warrior': 735,\n",
              " 'Kyuuketsuhime Miyu': 736,\n",
              " 'Macross 7': 737,\n",
              " 'Bible Black: New Testament': 738,\n",
              " 'Kao no nai Tsuki': 739,\n",
              " 'Lupin III': 740,\n",
              " 'Lupin III: Cagliostro no Shiro': 741,\n",
              " 'Maison Ikkoku': 742,\n",
              " 'Kemonozume': 743,\n",
              " 'Memories': 744,\n",
              " 'Monster Farm: Enbanseki no Himitsu': 745,\n",
              " 'City Hunter': 746,\n",
              " 'D.Gray-man': 747,\n",
              " 'Kodomo no Omocha (TV)': 748,\n",
              " '.hack//Unison': 749,\n",
              " 'Fushigi no Kuni no Miyuki-chan': 750,\n",
              " 'Black Blood Brothers': 751,\n",
              " 'Detective Conan Movie 09: Strategy Above the Depths': 752,\n",
              " 'Detective Conan Movie 10: Requiem of the Detectives': 753,\n",
              " 'Mamotte! Lollipop': 754,\n",
              " 'Black Lagoon: The Second Barrage': 755,\n",
              " 'Pokemon Crystal: Raikou Ikazuchi no Densetsu': 756,\n",
              " 'Pokemon Advanced Generation: Mew to Hadou no Yuusha Lucario': 757,\n",
              " 'Pokemon: Senritsu no Mirage Pokemon': 758,\n",
              " 'Kanon (2006)': 759,\n",
              " 'Shakugan no Shana SP: Koi to Onsen no Kougai Gakushuu!': 760,\n",
              " 'Suki na Mono wa Suki Dakara Shou ga Nai!!': 761,\n",
              " 'Ai Tenshi Densetsu Wedding Peach': 762,\n",
              " 'Death Note': 763,\n",
              " 'Busou Renkin': 764,\n",
              " 'Pumpkin Scissors': 765,\n",
              " 'Yoake Mae yori Ruriiro na: Crescent Love': 766,\n",
              " 'Negima!?': 767,\n",
              " 'Asatte no Houkou.': 768,\n",
              " 'Tokimeki Memorial: Only Love': 769,\n",
              " 'Kikoushi Enma': 770,\n",
              " 'Shounen Onmyouji': 771,\n",
              " 'Shijou Saikyou no Deshi Kenichi': 772,\n",
              " 'Yamato Nadeshiko Shichihenge♥': 773,\n",
              " 'Magic Knight Rayearth II': 774,\n",
              " 'Pokemon Advanced Generation': 775,\n",
              " 'Pokemon Diamond &amp; Pearl': 776,\n",
              " 'Ghost in the Shell: Stand Alone Complex - Solid State Society': 777,\n",
              " 'Sumomomo Momomo: Chijou Saikyou no Yome': 778,\n",
              " 'Otome wa Boku ni Koishiteru': 779,\n",
              " 'Happiness!': 780,\n",
              " 'Ghost Hunt': 781,\n",
              " 'Code Geass: Hangyaku no Lelouch': 782,\n",
              " 'Bakumatsu Kikansetsu Irohanihoheto': 783,\n",
              " 'Kiniro no Corda: Primo Passo': 784,\n",
              " 'Gift: Eternal Rainbow': 785,\n",
              " 'Mamoru-kun ni Megami no Shukufuku wo!': 786,\n",
              " 'Bartender': 787,\n",
              " 'Azumanga Web Daioh': 788,\n",
              " 'Jigoku Shoujo Futakomori': 789,\n",
              " 'Red Garden': 790,\n",
              " 'Soukou no Strain': 791,\n",
              " 'Katekyo Hitman Reborn!': 792,\n",
              " 'Kekkaishi': 793,\n",
              " 'Venus Versus Virus': 794,\n",
              " 'Mai-Otome Zwei': 795,\n",
              " 'Captain Tsubasa: Road to 2002': 796,\n",
              " 'Negima!? Haru Special!?': 797,\n",
              " 'Eureka Seven: Navigation ray=out': 798,\n",
              " 'Boku no Pico': 799,\n",
              " 'Angel&#039;s Feather': 800,\n",
              " 'Sugar Sugar Rune': 801,\n",
              " 'Kashimashi: Girl Meets Girl OVA': 802,\n",
              " 'Bakuten Shoot Beyblade G Revolution': 803,\n",
              " 'Bakuten Shoot Beyblade 2002': 804,\n",
              " 'Captain Tsubasa J': 805,\n",
              " 'Cyborg 009: The Cyborg Soldier': 806,\n",
              " 'Green Green Specials': 807,\n",
              " 'Brave Story': 808,\n",
              " 'Baldr Force Exe Resolution': 809,\n",
              " 'Duel Masters': 810,\n",
              " 'Bleach Movie 1: Memories of Nobody': 811,\n",
              " 'Nanatsu-iro★Drops': 812,\n",
              " 'Byousoku 5 Centimeter': 813,\n",
              " 'Bokurano': 814,\n",
              " 'Kaze no Stigma': 815,\n",
              " 'Murder Princess': 816,\n",
              " 'Nodame Cantabile': 817,\n",
              " 'Romeo x Juliet': 818,\n",
              " 'Pokemon: Mewtwo! Ware wa Koko ni Ari': 819,\n",
              " 'Rockman.EXE': 820,\n",
              " 'Rozen Maiden: Ouvertüre': 821,\n",
              " 'Hitohira': 822,\n",
              " 'Nagasarete Airantou': 823,\n",
              " 'Clannad Movie': 824,\n",
              " 'Devil May Cry': 825,\n",
              " 'Shinkyoku Soukai Polyphonica': 826,\n",
              " 'Maria-sama ga Miteru 3rd': 827,\n",
              " 'Tales of Symphonia The Animation: Sylvarant-hen': 828,\n",
              " 'Negima!? Natsu Special!?': 829,\n",
              " 'Ajimu: Kaigan Monogatari': 830,\n",
              " 'Muteki Kanban Musume': 831,\n",
              " 'Freedom': 832,\n",
              " 'Amaenaide yo!!: Yasumanaide yo!!': 833,\n",
              " 'Amaenaide yo!! Katsu!!: Damasarenaide yo!!': 834,\n",
              " 'Slam Dunk (Movie)': 835,\n",
              " 'Viper GTS': 836,\n",
              " 'Prism Ark': 837,\n",
              " 'Kamichama Karin': 838,\n",
              " 'Kyoushirou to Towa no Sora': 839,\n",
              " 'Genshiken OVA': 840,\n",
              " 'Shakugan no Shana Movie': 841,\n",
              " 'Sonic X': 842,\n",
              " 'DearS: Kin no Tama desu no?': 843,\n",
              " 'Claymore': 844,\n",
              " 'Hadashi no Gen': 845,\n",
              " 'Seirei no Moribito': 846,\n",
              " 'Gedo Senki': 847,\n",
              " 'Utawarerumono Specials': 848,\n",
              " 'Shuffle! Memories': 849,\n",
              " 'Mitsu x Mitsu Drops': 850,\n",
              " 'Zero no Tsukaima: Futatsuki no Kishi': 851,\n",
              " 'Major S3': 852,\n",
              " 'Rec: Yurusarezarumono': 853,\n",
              " 'Hidamari Sketch': 854,\n",
              " 'Gakuen Utopia Manabi Straight!': 855,\n",
              " 'Tokyo Majin Gakuen Kenpucho: Tou': 856,\n",
              " 'Slam Dunk: Zenkoku Seiha Da! Sakuragi Hanamichi': 857,\n",
              " 'Strike Witches OVA': 858,\n",
              " 'Nana Recaps': 859,\n",
              " 'Lucky☆Star': 860,\n",
              " 'Ichigo Mashimaro OVA': 861,\n",
              " 'Higurashi no Naku Koro ni Kai': 862,\n",
              " 'Clover': 863,\n",
              " 'Yu☆Gi☆Oh!: Hikari no Pyramid': 864,\n",
              " 'Akiba Kei Kanojo': 865,\n",
              " 'Shonan Junai Gumi!': 866,\n",
              " 'Saiunkoku Monogatari 2nd Season': 867,\n",
              " 'Mahou Shoujo Lyrical Nanoha StrikerS': 868,\n",
              " 'Paprika': 869,\n",
              " 'Photon': 870,\n",
              " 'Ashita no Nadja': 871,\n",
              " 'Vampire Hunter': 872,\n",
              " 'Code Geass: Hangyaku no Lelouch Picture Drama': 873,\n",
              " 'Rayearth': 874,\n",
              " 'Ikkitousen: Dragon Destiny': 875,\n",
              " 'Arashi no Yoru ni': 876,\n",
              " 'Sola': 877,\n",
              " 'Glass no Kamen (2005)': 878,\n",
              " '.hack//Tasogare no Udewa Densetsu: Offline de Aimashou': 879,\n",
              " 'Tengen Toppa Gurren Lagann': 880,\n",
              " 'Heroic Age': 881,\n",
              " 'Yu☆Gi☆Oh! (1999)': 882,\n",
              " 'One Piece: Nenmatsu Tokubetsu Kikaku! Mugiwara no Luffy Oyabun Torimonochou': 883,\n",
              " 'Darker than Black: Kuro no Keiyakusha': 884,\n",
              " 'Hayate no Gotoku!': 885,\n",
              " 'El Cazador de la Bruja': 886,\n",
              " 'Shining Tears X Wind': 887,\n",
              " 'Lovely★Complex': 888,\n",
              " 'Eikoku Koi Monogatari Emma: Molders-hen': 889,\n",
              " 'Seto no Hanayome': 890,\n",
              " 'One Piece Movie 8: Episode of Alabasta - Sabaku no Oujo to Kaizoku-tachi': 891,\n",
              " 'Rockman.EXE Axess': 892,\n",
              " 'Over Drive': 893,\n",
              " 'Captain Tsubasa': 894,\n",
              " 'Digimon X-Evolution': 895,\n",
              " 'Code Geass: Hangyaku no Lelouch Recaps': 896,\n",
              " 'True Tears': 897,\n",
              " 'Kaibutsu Oujo': 898,\n",
              " 'Bokusatsu Tenshi Dokuro-chan 2': 899,\n",
              " 'Inukami! The Movie: Tokumei Reiteki Sousakan Karina Shirou!': 900,\n",
              " 'Sora no Iro, Mizu no Iro': 901,\n",
              " 'Front Innocent: Mou Hitotsu no Lady Innocent': 902,\n",
              " 'Blue Dragon': 903,\n",
              " 'Naruto Movie 3: Dai Koufun! Mikazuki Jima no Animaru Panikku Dattebayo!': 904,\n",
              " 'Okane ga Nai': 905,\n",
              " 'Tanoshii Muumin Ikka': 906,\n",
              " 'Tekkon Kinkreet': 907,\n",
              " 'Kono Aozora ni Yakusoku wo: Youkoso Tsugumi Ryou e': 908,\n",
              " 'Bakugan Battle Brawlers': 909,\n",
              " 'Terra e... (TV)': 910,\n",
              " 'Ookiku Furikabutte': 911,\n",
              " 'Skull Man': 912,\n",
              " 'AIKa R-16: Virgin Mission': 913,\n",
              " 'Dennou Coil': 914,\n",
              " 'Doujin Work': 915,\n",
              " 'Clannad': 916,\n",
              " 'Detective Conan Movie 11: Jolly Roger in the Deep Azure': 917,\n",
              " 'Kino no Tabi: The Beautiful World - Byouki no Kuni - For You': 918,\n",
              " 'Highlander: The Search for Vengeance': 919,\n",
              " 'Aa! Megami-sama!: Sorezore no Tsubasa Specials': 920,\n",
              " 'Pokemon Advanced Generation: Pokemon Ranger to Umi no Ouji Manaphy': 921,\n",
              " 'Bakuretsu Tenshi: Infinity': 922,\n",
              " 'Tooi Sekai': 923,\n",
              " 'Shigurui': 924,\n",
              " 'Hand Maid May Special': 925,\n",
              " 'Alps no Shoujo Heidi': 926,\n",
              " 'Mizu no Kotoba': 927,\n",
              " 'Toki wo Kakeru Shoujo': 928,\n",
              " 'Rozen Maiden: Meitantei Kunkun - Duell Walzer': 929,\n",
              " 'Fuyu no Semi': 930,\n",
              " 'Mononoke': 931,\n",
              " 'Naruto: Dai Katsugeki!! Yuki Hime Shinobu Houjou Dattebayo! Special: Konoha Annual Sports Festival': 932,\n",
              " 'Baccano!': 933,\n",
              " 'Sonic★the★Hedgehog': 934,\n",
              " 'Transformers the Movie': 935,\n",
              " 'Mobile Suit Gundam Wing: Endless Waltz Movie': 936,\n",
              " 'CLAMP in Wonderland': 937,\n",
              " 'Mobile Suit Gundam Seed: After-Phase Between the Stars': 938,\n",
              " 'Hikaru no Go: New Year Special': 939,\n",
              " 'Pokemon Housoukyoku': 940,\n",
              " 'Moetan': 941,\n",
              " 'Rental Magica': 942,\n",
              " 'One Piece: Jango no Dance Carnival': 943,\n",
              " 'One Piece: Yume no Soccer Ou!': 944,\n",
              " 'Digimon Adventure: Bokura no War Game!': 945,\n",
              " 'Digimon Adventure 02: Diablomon no Gyakushuu': 946,\n",
              " 'Kodomo no Jikan (TV)': 947,\n",
              " 'Zombie-Loan': 948,\n",
              " 'Saigo no Door wo Shimero!': 949,\n",
              " 'Stranger: Mukou Hadan': 950,\n",
              " 'Cardcaptor Sakura Specials': 951,\n",
              " 'Discipline': 952,\n",
              " 'Ghost in the Shell: Stand Alone Complex 2nd GIG - Individual Eleven': 953,\n",
              " 'Ghost in the Shell: Stand Alone Complex - The Laughing Man': 954,\n",
              " 'Naruto: Shippuuden Movie 1': 955,\n",
              " 'School Days': 956,\n",
              " 'One Piece: Mezase! Kaizoku Yakyuu Ou': 957,\n",
              " 'Goshuushou-sama Ninomiya-kun': 958,\n",
              " 'Slam Dunk: Shouhoku Saidai no Kiki! Moero Sakuragi Hanamichi': 959,\n",
              " 'Slam Dunk: Hoero Basketman-damashii! Hanamichi to Rukawa no Atsuki Natsu': 960,\n",
              " 'Genshiken 2': 961,\n",
              " 'Detective Conan OVA 02: 16 Suspects': 962,\n",
              " 'Detective Conan OVA 03: Conan and Heiji and the Vanished Boy': 963,\n",
              " 'Detective Conan OVA 04: Conan and Kid and Crystal Mother': 964,\n",
              " 'Detective Conan OVA 05: The Target is Kogoro! The Detective Boys&#039; Secret Investigation': 965,\n",
              " 'Dragon Ball Specials': 966,\n",
              " 'Shion no Ou': 967,\n",
              " 'Aria The OVA: Arietta': 968,\n",
              " 'Code-E': 969,\n",
              " 'Tsukuyomi: Moon Phase Special': 970,\n",
              " 'Mobile Suit Gundam 00': 971,\n",
              " 'Black Cat Special': 972,\n",
              " 'Kara no Kyoukai 1: Fukan Fuukei': 973,\n",
              " 'Piano no Mori': 974,\n",
              " 'D.C.II: Da Capo II': 975,\n",
              " 'Shinreigari: Ghost Hound': 976,\n",
              " 'Detective Conan OVA 07: A Challenge from Agasa! Agasa vs. Conan and the Detective Boys': 977,\n",
              " 'Kenkou Zenrakei Suieibu Umishou': 978,\n",
              " 'Mushi-Uta': 979,\n",
              " 'Sky Girls': 980,\n",
              " 'Sayonara Zetsubou Sensei': 981,\n",
              " 'Digimon Savers the Movie: Kyuukyoku Power! Burst Mode Hatsudou!!': 982,\n",
              " 'Otome wa Boku ni Koishiteru Special': 983,\n",
              " 'One Piece: Straw Hat Theater': 984,\n",
              " 'Tokyo Majin Gakuen Kenpucho: Tou Dai Ni Maku': 985,\n",
              " 'Tsubasa: Tokyo Revelations': 986,\n",
              " 'Potemayo': 987,\n",
              " 'Vexille: 2077 Nihon Sakoku': 988,\n",
              " 'Prince of Tennis: The National Tournament Semifinals': 989,\n",
              " 'Cheonnyeon-yeowoo Yeowoobi': 990,\n",
              " 'Evangelion: 1.0 You Are (Not) Alone': 991,\n",
              " 'CLAMP in Wonderland 2': 992,\n",
              " 'Juushin Enbu: Hero Tales': 993,\n",
              " 'Shakugan no Shana II (Second)': 994,\n",
              " 'Dragonaut: The Resonance': 995,\n",
              " 'Hatsu Inu The Animation': 996,\n",
              " 'Candy Candy': 997,\n",
              " 'Ani*Kuri15': 998,\n",
              " 'Pokemon Fushigi no Dungeon: Shutsudou Pokemon Kyuujotai Ganbaruzu!': 999,\n",
              " ...}"
            ]
          },
          "metadata": {},
          "execution_count": 77
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# index dari dragon ball\n",
        "animes_to_idx['Dragon Ball']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PhN1FnpcEcIB",
        "outputId": "6ffda620-157d-4f03-d5d9-c74f59b63946"
      },
      "execution_count": 78,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "170"
            ]
          },
          "metadata": {},
          "execution_count": 78
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# matrix dari dragon ball\n",
        "movie_user_mtx.iloc[170]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mooShkp0Eg92",
        "outputId": "1047441a-9972-4478-943a-4698d2bfc30a"
      },
      "execution_count": 79,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "user_id\n",
              "1        0.0\n",
              "5        6.0\n",
              "7        9.0\n",
              "11       0.0\n",
              "13       0.0\n",
              "        ... \n",
              "73503    5.0\n",
              "73504    0.0\n",
              "73507    0.0\n",
              "73510    8.0\n",
              "73515    0.0\n",
              "Name: 223, Length: 24085, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 79
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "movie_user_mtx.values"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7zvxR8V-Eigj",
        "outputId": "e417fffb-1794-4f66-c040-91fb3fcef4c6"
      },
      "execution_count": 80,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[ 0.,  0.,  0., ...,  9.,  0., 10.],\n",
              "       [ 0.,  0.,  0., ...,  8.,  0., 10.],\n",
              "       [ 0.,  8.,  0., ...,  9.,  0., 10.],\n",
              "       ...,\n",
              "       [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
              "       [ 0.,  0.,  0., ...,  0.,  0.,  0.],\n",
              "       [ 0.,  0.,  0., ...,  0.,  0.,  0.]])"
            ]
          },
          "metadata": {},
          "execution_count": 80
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from scipy.sparse import csr_matrix\n",
        "anime_user_mtx_sparse = csr_matrix(movie_user_mtx.values)"
      ],
      "metadata": {
        "id": "iqPtK_zpEjqs"
      },
      "execution_count": 81,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(anime_user_mtx_sparse)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cQx0z7ULEkv3",
        "outputId": "a0eada05-43fb-42bf-88bd-2d1964379cbd"
      },
      "execution_count": 82,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "  (0, 4)\t-1.0\n",
            "  (0, 7)\t9.0\n",
            "  (0, 12)\t10.0\n",
            "  (0, 14)\t10.0\n",
            "  (0, 15)\t10.0\n",
            "  (0, 16)\t-1.0\n",
            "  (0, 20)\t10.0\n",
            "  (0, 31)\t9.0\n",
            "  (0, 32)\t10.0\n",
            "  (0, 35)\t10.0\n",
            "  (0, 38)\t9.0\n",
            "  (0, 39)\t8.0\n",
            "  (0, 43)\t7.0\n",
            "  (0, 44)\t8.0\n",
            "  (0, 48)\t10.0\n",
            "  (0, 50)\t8.0\n",
            "  (0, 51)\t10.0\n",
            "  (0, 54)\t8.0\n",
            "  (0, 55)\t9.0\n",
            "  (0, 61)\t10.0\n",
            "  (0, 64)\t9.0\n",
            "  (0, 65)\t-1.0\n",
            "  (0, 67)\t-1.0\n",
            "  (0, 69)\t7.0\n",
            "  (0, 71)\t-1.0\n",
            "  :\t:\n",
            "  (2791, 23756)\t9.0\n",
            "  (2791, 23758)\t-1.0\n",
            "  (2791, 23772)\t10.0\n",
            "  (2791, 23796)\t-1.0\n",
            "  (2791, 23798)\t10.0\n",
            "  (2791, 23804)\t8.0\n",
            "  (2791, 23805)\t-1.0\n",
            "  (2791, 23816)\t8.0\n",
            "  (2791, 23835)\t-1.0\n",
            "  (2791, 23838)\t8.0\n",
            "  (2791, 23841)\t8.0\n",
            "  (2791, 23856)\t-1.0\n",
            "  (2791, 23862)\t9.0\n",
            "  (2791, 23870)\t8.0\n",
            "  (2791, 23879)\t7.0\n",
            "  (2791, 23880)\t8.0\n",
            "  (2791, 23882)\t-1.0\n",
            "  (2791, 23891)\t9.0\n",
            "  (2791, 23904)\t-1.0\n",
            "  (2791, 23952)\t8.0\n",
            "  (2791, 23957)\t-1.0\n",
            "  (2791, 23968)\t8.0\n",
            "  (2791, 23990)\t10.0\n",
            "  (2791, 23994)\t8.0\n",
            "  (2791, 24041)\t9.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 2. Fitting the Model"
      ],
      "metadata": {
        "id": "PxPg_E9bEmJ-"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Cosine Similarity"
      ],
      "metadata": {
        "id": "aT9Lfk9gEp6_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.neighbors import NearestNeighbors\n",
        "nn = NearestNeighbors(metric='cosine', algorithm='brute', n_neighbors=11, n_jobs=-1)\n",
        "#fitting the model\n",
        "nn.fit(anime_user_mtx_sparse)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "H0fcWd65En5t",
        "outputId": "9bd097fe-2ffb-4617-867a-7bc7390d87ff"
      },
      "execution_count": 83,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "NearestNeighbors(algorithm='brute', metric='cosine', n_jobs=-1, n_neighbors=11)"
            ]
          },
          "metadata": {},
          "execution_count": 83
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 3. Simple Movie Recommender System"
      ],
      "metadata": {
        "id": "EolqduXlEznh"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import string as str\n",
        "fav_anime = str.capwords('naruto')\n",
        "index_fav = animes_to_idx[fav_anime]\n",
        "distances, indices = nn.kneighbors(movie_user_mtx.iloc[index_fav,:].values.reshape(1,-1), n_neighbors=11)\n",
        "recom_res = list(zip(indices.squeeze().tolist(), distances.squeeze().tolist()))\n",
        "recom_res"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "W688_pJ8E3nq",
        "outputId": "9231cf17-de2e-4ee8-de70-8b4ca308a004"
      },
      "execution_count": 84,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[(10, 0.0),\n",
              " (763, 0.34306324157200907),\n",
              " (782, 0.4095199126802932),\n",
              " (1873, 0.4117128585974985),\n",
              " (89, 0.4136428568635694),\n",
              " (1261, 0.4141881572665217),\n",
              " (209, 0.41902322613836196),\n",
              " (2135, 0.4204547650691697),\n",
              " (1006, 0.42840709364171714),\n",
              " (1682, 0.4294007894620876),\n",
              " (172, 0.43861496509355613)]"
            ]
          },
          "metadata": {},
          "execution_count": 84
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "distances"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "77BM0HP3E5p_",
        "outputId": "5911cd1c-5a0b-4e28-c717-006c436efb41"
      },
      "execution_count": 85,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[0.        , 0.34306324, 0.40951991, 0.41171286, 0.41364286,\n",
              "        0.41418816, 0.41902323, 0.42045477, 0.42840709, 0.42940079,\n",
              "        0.43861497]])"
            ]
          },
          "metadata": {},
          "execution_count": 85
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "indices"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zjvlbUSkE6j3",
        "outputId": "279ee518-509d-417e-ac17-05105e423200"
      },
      "execution_count": 86,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[  10,  763,  782, 1873,   89, 1261,  209, 2135, 1006, 1682,  172]])"
            ]
          },
          "metadata": {},
          "execution_count": 86
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def get_key(val): \n",
        "    for key, value in animes_to_idx.items(): \n",
        "         if val == value: \n",
        "            return key \n",
        "  \n",
        "    return \"key doesn't exist\"\n",
        "for i, (idx, dist) in enumerate(recom_res):\n",
        "    if i == 0:\n",
        "        print('you have input:',fav_anime)\n",
        "    else:\n",
        "        print('{}: {}, with distance of {}'. format(i, get_key(idx), distances.flatten()[i]))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "P5FM91pGE966",
        "outputId": "7c82142e-115e-4783-c5fd-7f9922620e1c"
      },
      "execution_count": 87,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "you have input: Naruto\n",
            "1: Death Note, with distance of 0.34306324157200907\n",
            "2: Code Geass: Hangyaku no Lelouch, with distance of 0.4095199126802932\n",
            "3: Sword Art Online, with distance of 0.4117128585974985\n",
            "4: Fullmetal Alchemist, with distance of 0.4136428568635694\n",
            "5: Fullmetal Alchemist: Brotherhood, with distance of 0.4141881572665217\n",
            "6: Bleach, with distance of 0.41902322613836196\n",
            "7: Shingeki no Kyojin, with distance of 0.4204547650691697\n",
            "8: Code Geass: Hangyaku no Lelouch R2, with distance of 0.42840709364171714\n",
            "9: Ao no Exorcist, with distance of 0.4294007894620876\n",
            "10: Elfen Lied, with distance of 0.43861496509355613\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 4. Make recommender system using fuzzy"
      ],
      "metadata": {
        "id": "9cTHKr3SFHrG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "! pip3 install fuzzywuzzy"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tRq1A0uFFTmm",
        "outputId": "08bc8fd5-da41-4164-ec83-ff9755f4a8d7"
      },
      "execution_count": 89,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting fuzzywuzzy\n",
            "  Downloading fuzzywuzzy-0.18.0-py2.py3-none-any.whl (18 kB)\n",
            "Installing collected packages: fuzzywuzzy\n",
            "Successfully installed fuzzywuzzy-0.18.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from fuzzywuzzy import fuzz"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ne1JHV99FKEj",
        "outputId": "acbdec19-136a-447c-90f1-43a4ece17786"
      },
      "execution_count": 90,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/fuzzywuzzy/fuzz.py:11: UserWarning: Using slow pure-python SequenceMatcher. Install python-Levenshtein to remove this warning\n",
            "  warnings.warn('Using slow pure-python SequenceMatcher. Install python-Levenshtein to remove this warning')\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def fuzzy_matching(mapper, fav_anime, verbose=True):\n",
        "    \"\"\"\n",
        "    return the closest match via fuzzy ratio. If no match found, return None\n",
        "    \n",
        "    Parameters\n",
        "    ----------    \n",
        "    mapper: dict (animes_to_idx), map movie title name to index of the movie in data\n",
        "\n",
        "    fav_anime: str, name of user input anime\n",
        "    \n",
        "    verbose: bool, print log if True\n",
        "\n",
        "    Return\n",
        "    ------\n",
        "    index of the closest match\n",
        "    \"\"\"\n",
        "    match_tuple = []\n",
        "    # get match\n",
        "    for title, idx in mapper.items():\n",
        "        ratio = fuzz.ratio(title.lower(), fav_anime.lower())\n",
        "        if ratio > 60:\n",
        "            match_tuple.append((title, idx, ratio))\n",
        "    # sort\n",
        "    match_tuple = sorted(match_tuple, key=lambda x: x[2])[::-1]\n",
        "    if not match_tuple:\n",
        "        print('Anime yang anda cari tidak ada')\n",
        "        return\n",
        "    if verbose:\n",
        "        print('Anime yang anda cari ditemukan di database kami: {}\\n'.format([x[0] for x in match_tuple]))\n",
        "    return match_tuple[0][1]\n",
        "\n",
        "def make_recommendation(model_knn, data, mapper, fav_anime, n_recommendation):\n",
        "    \"\"\"\n",
        "    return top n similar movie recommendations based on user's input movie\n",
        "\n",
        "\n",
        "    Parameters\n",
        "    ----------\n",
        "    model_knn: sklearn model, knn model\n",
        "\n",
        "    data: anime_user_mtx_sparse for training\n",
        "\n",
        "    mapper: dict (animes_to_idx), map movie title name to index of the movie in data\n",
        "\n",
        "    fav_anime: str, name of user input movie\n",
        "\n",
        "    n_recommendations: int, top n recommendations\n",
        "\n",
        "    Return\n",
        "    ------\n",
        "    list of top n similar movie recommendations\n",
        "    \"\"\"\n",
        "    model_knn.fit(data)\n",
        "    # get input movie index\n",
        "    print('Anda telah memilih anime: {}'.format(fav_anime))\n",
        "    idx = fuzzy_matching(mapper, fav_anime, verbose=True)\n",
        "    print('Sedang memuat anime')\n",
        "    print('.......\\n')\n",
        "    distances, indices = model_knn.kneighbors(data[idx], n_neighbors=n_recommendation+1)\n",
        "    # get list of raw index\n",
        "    raw_recommends = sorted(list(zip(indices.squeeze().tolist(), distances.squeeze().tolist())), key=lambda x:x[1])[:0:-1]\n",
        "    reverse_mapper = {v: k for k, v in mapper.items()}\n",
        "    \n",
        "    print('Rekomendasi untuk: {}'.format(fav_anime))\n",
        "    for i, (idx, dist) in enumerate(raw_recommends):\n",
        "        print('{}: {}, dengan distance of {}'.format(i+1, reverse_mapper[idx], dist))"
      ],
      "metadata": {
        "id": "5vx9HrvDFOAm"
      },
      "execution_count": 92,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "my_favorite = input('Masukkan anime favorit anda:')\n",
        "\n",
        "make_recommendation(model_knn=nn, data=anime_user_mtx_sparse, fav_anime=my_favorite,\n",
        "                   mapper=animes_to_idx, n_recommendation=10)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "T0vdietCFb2n",
        "outputId": "bb9ee113-5ad2-43c1-c6c0-185a9dab5900"
      },
      "execution_count": 93,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Masukkan anime favorit anda:kimi no nawa\n",
            "Anda telah memilih anime: kimi no nawa\n",
            "Anime yang anda cari ditemukan di database kami: ['Kimi no Na wa.', 'Kamigami no Asobi', 'Kyoukai no Kanata', 'Kimi no Iru Machi', 'Aku no Hana']\n",
            "\n",
            "Sedang memuat anime\n",
            ".......\n",
            "\n",
            "Rekomendasi untuk: kimi no nawa\n",
            "1: Shokugeki no Souma, dengan distance of 0.7291026942078005\n",
            "2: No Game No Life, dengan distance of 0.7245369855341224\n",
            "3: Noragami, dengan distance of 0.7208394510751024\n",
            "4: Noragami Aragoto, dengan distance of 0.7177190689226833\n",
            "5: One Punch Man, dengan distance of 0.7124364183449896\n",
            "6: Charlotte, dengan distance of 0.710259425638335\n",
            "7: ReLIFE, dengan distance of 0.6946104833610212\n",
            "8: Shigatsu wa Kimi no Uso, dengan distance of 0.6742193753482453\n",
            "9: Re:Zero kara Hajimeru Isekai Seikatsu, dengan distance of 0.6729928114188376\n",
            "10: Boku dake ga Inai Machi, dengan distance of 0.6626669902966114\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "tMNoiStkFgdy"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}