Anime Exploration.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_anime=pd.read_csv('anime.csv')\n",
    "df_rate=pd.read_csv('rating.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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>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",
       "      <td>151266</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "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  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_anime.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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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>12289</th>\n",
       "      <td>9316</td>\n",
       "      <td>Toushindai My Lover: Minami tai Mecha-Minami</td>\n",
       "      <td>Hentai</td>\n",
       "      <td>OVA</td>\n",
       "      <td>1</td>\n",
       "      <td>4.15</td>\n",
       "      <td>211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12290</th>\n",
       "      <td>5543</td>\n",
       "      <td>Under World</td>\n",
       "      <td>Hentai</td>\n",
       "      <td>OVA</td>\n",
       "      <td>1</td>\n",
       "      <td>4.28</td>\n",
       "      <td>183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12291</th>\n",
       "      <td>5621</td>\n",
       "      <td>Violence Gekiga David no Hoshi</td>\n",
       "      <td>Hentai</td>\n",
       "      <td>OVA</td>\n",
       "      <td>4</td>\n",
       "      <td>4.88</td>\n",
       "      <td>219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12292</th>\n",
       "      <td>6133</td>\n",
       "      <td>Violence Gekiga Shin David no Hoshi: Inma Dens...</td>\n",
       "      <td>Hentai</td>\n",
       "      <td>OVA</td>\n",
       "      <td>1</td>\n",
       "      <td>4.98</td>\n",
       "      <td>175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12293</th>\n",
       "      <td>26081</td>\n",
       "      <td>Yasuji no Pornorama: Yacchimae!!</td>\n",
       "      <td>Hentai</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>5.46</td>\n",
       "      <td>142</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       anime_id                                               name   genre  \\\n",
       "12289      9316       Toushindai My Lover: Minami tai Mecha-Minami  Hentai   \n",
       "12290      5543                                        Under World  Hentai   \n",
       "12291      5621                     Violence Gekiga David no Hoshi  Hentai   \n",
       "12292      6133  Violence Gekiga Shin David no Hoshi: Inma Dens...  Hentai   \n",
       "12293     26081                   Yasuji no Pornorama: Yacchimae!!  Hentai   \n",
       "\n",
       "        type episodes  rating  members  \n",
       "12289    OVA        1    4.15      211  \n",
       "12290    OVA        1    4.28      183  \n",
       "12291    OVA        4    4.88      219  \n",
       "12292    OVA        1    4.98      175  \n",
       "12293  Movie        1    5.46      142  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_anime.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>anime_id</th>\n",
       "      <th>rating</th>\n",
       "      <th>members</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>12294.000000</td>\n",
       "      <td>12064.000000</td>\n",
       "      <td>1.229400e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>14058.221653</td>\n",
       "      <td>6.473902</td>\n",
       "      <td>1.807134e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>11455.294701</td>\n",
       "      <td>1.026746</td>\n",
       "      <td>5.482068e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.670000</td>\n",
       "      <td>5.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3484.250000</td>\n",
       "      <td>5.880000</td>\n",
       "      <td>2.250000e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>10260.500000</td>\n",
       "      <td>6.570000</td>\n",
       "      <td>1.550000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>24794.500000</td>\n",
       "      <td>7.180000</td>\n",
       "      <td>9.437000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>34527.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>1.013917e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           anime_id        rating       members\n",
       "count  12294.000000  12064.000000  1.229400e+04\n",
       "mean   14058.221653      6.473902  1.807134e+04\n",
       "std    11455.294701      1.026746  5.482068e+04\n",
       "min        1.000000      1.670000  5.000000e+00\n",
       "25%     3484.250000      5.880000  2.250000e+02\n",
       "50%    10260.500000      6.570000  1.550000e+03\n",
       "75%    24794.500000      7.180000  9.437000e+03\n",
       "max    34527.000000     10.000000  1.013917e+06"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_anime.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "anime_id      int64\n",
       "name         object\n",
       "genre        object\n",
       "type         object\n",
       "episodes     object\n",
       "rating      float64\n",
       "members       int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_anime.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "anime_id      0\n",
       "name          0\n",
       "genre        62\n",
       "type         25\n",
       "episodes      0\n",
       "rating      230\n",
       "members       0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_anime.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_anime.dropna(subset=['rating','genre','type'],inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "anime_id    0\n",
       "name        0\n",
       "genre       0\n",
       "type        0\n",
       "episodes    0\n",
       "rating      0\n",
       "members     0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_anime.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "anime_id      int64\n",
       "name         object\n",
       "genre        object\n",
       "type         object\n",
       "episodes     object\n",
       "rating      float64\n",
       "members       int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_anime.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_anime=df_anime[df_anime[\"episodes\"]!='Unknown']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_anime['episodes']=df_anime['episodes'].astype('int64')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
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       "  <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",
       "      <td>151266</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "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  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_anime.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Movie', 'TV', 'OVA', 'Special', 'Music', 'ONA'], dtype=object)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_anime.type.unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exploring Movies of Anime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_movies=df_anime[df_anime[\"type\"]=='Movie']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <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>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>8</th>\n",
       "      <td>15335</td>\n",
       "      <td>Gintama Movie: Kanketsu-hen - Yorozuya yo Eien...</td>\n",
       "      <td>Action, Comedy, Historical, Parody, Samurai, S...</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>9.10</td>\n",
       "      <td>72534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>28851</td>\n",
       "      <td>Koe no Katachi</td>\n",
       "      <td>Drama, School, Shounen</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>9.05</td>\n",
       "      <td>102733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>199</td>\n",
       "      <td>Sen to Chihiro no Kamikakushi</td>\n",
       "      <td>Adventure, Drama, Supernatural</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>8.93</td>\n",
       "      <td>466254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>12355</td>\n",
       "      <td>Ookami Kodomo no Ame to Yuki</td>\n",
       "      <td>Fantasy, Slice of Life</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>8.84</td>\n",
       "      <td>226193</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    anime_id                                               name  \\\n",
       "0      32281                                     Kimi no Na wa.   \n",
       "8      15335  Gintama Movie: Kanketsu-hen - Yorozuya yo Eien...   \n",
       "11     28851                                     Koe no Katachi   \n",
       "15       199                      Sen to Chihiro no Kamikakushi   \n",
       "18     12355                       Ookami Kodomo no Ame to Yuki   \n",
       "\n",
       "                                                genre   type  episodes  \\\n",
       "0                Drama, Romance, School, Supernatural  Movie         1   \n",
       "8   Action, Comedy, Historical, Parody, Samurai, S...  Movie         1   \n",
       "11                             Drama, School, Shounen  Movie         1   \n",
       "15                     Adventure, Drama, Supernatural  Movie         1   \n",
       "18                             Fantasy, Slice of Life  Movie         1   \n",
       "\n",
       "    rating  members  \n",
       "0     9.37   200630  \n",
       "8     9.10    72534  \n",
       "11    9.05   102733  \n",
       "15    8.93   466254  \n",
       "18    8.84   226193  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_movies.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\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>15</th>\n",
       "      <td>199</td>\n",
       "      <td>Sen to Chihiro no Kamikakushi</td>\n",
       "      <td>Adventure, Drama, Supernatural</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>8.93</td>\n",
       "      <td>466254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>164</td>\n",
       "      <td>Mononoke Hime</td>\n",
       "      <td>Action, Adventure, Fantasy</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>8.81</td>\n",
       "      <td>339556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>431</td>\n",
       "      <td>Howl no Ugoku Shiro</td>\n",
       "      <td>Adventure, Drama, Fantasy, Romance</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>8.74</td>\n",
       "      <td>333186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>411</th>\n",
       "      <td>1689</td>\n",
       "      <td>Byousoku 5 Centimeter</td>\n",
       "      <td>Drama, Romance, Slice of Life</td>\n",
       "      <td>Movie</td>\n",
       "      <td>3</td>\n",
       "      <td>8.10</td>\n",
       "      <td>324035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>2236</td>\n",
       "      <td>Toki wo Kakeru Shoujo</td>\n",
       "      <td>Adventure, Drama, Romance, Sci-Fi</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>8.44</td>\n",
       "      <td>289206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>523</td>\n",
       "      <td>Tonari no Totoro</td>\n",
       "      <td>Adventure, Comedy, Supernatural</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>8.48</td>\n",
       "      <td>271484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>7311</td>\n",
       "      <td>Suzumiya Haruhi no Shoushitsu</td>\n",
       "      <td>Comedy, Mystery, Romance, School, Sci-Fi, Supe...</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>8.81</td>\n",
       "      <td>240297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>12355</td>\n",
       "      <td>Ookami Kodomo no Ame to Yuki</td>\n",
       "      <td>Fantasy, Slice of Life</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>8.84</td>\n",
       "      <td>226193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>5681</td>\n",
       "      <td>Summer Wars</td>\n",
       "      <td>Comedy, Sci-Fi</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>8.30</td>\n",
       "      <td>223359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>43</td>\n",
       "      <td>Ghost in the Shell</td>\n",
       "      <td>Action, Mecha, Police, Psychological, Sci-Fi, ...</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>8.34</td>\n",
       "      <td>223036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>47</td>\n",
       "      <td>Akira</td>\n",
       "      <td>Action, Adventure, Horror, Military, Sci-Fi, S...</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>8.15</td>\n",
       "      <td>215897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>32</td>\n",
       "      <td>Neon Genesis Evangelion: The End of Evangelion</td>\n",
       "      <td>Dementia, Drama, Mecha, Psychological, Sci-Fi</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>8.45</td>\n",
       "      <td>215630</td>\n",
       "    </tr>\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>60</th>\n",
       "      <td>10408</td>\n",
       "      <td>Hotarubi no Mori e</td>\n",
       "      <td>Drama, Romance, Shoujo, Supernatural</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>8.61</td>\n",
       "      <td>197439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294</th>\n",
       "      <td>2759</td>\n",
       "      <td>Evangelion: 1.0 You Are (Not) Alone</td>\n",
       "      <td>Action, Mecha, Sci-Fi</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>8.21</td>\n",
       "      <td>194561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>11577</td>\n",
       "      <td>Steins;Gate Movie: Fuka Ryouiki no Déjà vu</td>\n",
       "      <td>Sci-Fi, Thriller</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>8.61</td>\n",
       "      <td>192424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>16782</td>\n",
       "      <td>Kotonoha no Niwa</td>\n",
       "      <td>Drama, Psychological, Romance, Slice of Life</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>8.35</td>\n",
       "      <td>189741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>971</th>\n",
       "      <td>430</td>\n",
       "      <td>Fullmetal Alchemist: The Conqueror of Shamballa</td>\n",
       "      <td>Comedy, Drama, Fantasy, Historical, Military, ...</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>7.74</td>\n",
       "      <td>186465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>3784</td>\n",
       "      <td>Evangelion: 2.0 You Can (Not) Advance</td>\n",
       "      <td>Action, Mecha, Sci-Fi</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>8.53</td>\n",
       "      <td>182224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>834</th>\n",
       "      <td>2593</td>\n",
       "      <td>Kara no Kyoukai 1: Fukan Fuukei</td>\n",
       "      <td>Action, Mystery, Supernatural, Thriller</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>7.81</td>\n",
       "      <td>178880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>578</td>\n",
       "      <td>Hotaru no Haka</td>\n",
       "      <td>Drama, Historical</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>8.58</td>\n",
       "      <td>174878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>365</th>\n",
       "      <td>1943</td>\n",
       "      <td>Paprika</td>\n",
       "      <td>Fantasy, Horror, Mystery, Psychological, Sci-F...</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>8.15</td>\n",
       "      <td>163308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>512</td>\n",
       "      <td>Majo no Takkyuubin</td>\n",
       "      <td>Adventure, Comedy, Drama, Fantasy, Magic, Romance</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>8.27</td>\n",
       "      <td>152331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1333</th>\n",
       "      <td>1686</td>\n",
       "      <td>Bleach Movie 1: Memories of Nobody</td>\n",
       "      <td>Action, Adventure, Super Power</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>7.58</td>\n",
       "      <td>151598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>513</td>\n",
       "      <td>Tenkuu no Shiro Laputa</td>\n",
       "      <td>Adventure, Fantasy, Romance, Sci-Fi</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>8.38</td>\n",
       "      <td>151061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>572</td>\n",
       "      <td>Kaze no Tani no Nausicaä</td>\n",
       "      <td>Adventure, Fantasy</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>8.47</td>\n",
       "      <td>143273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>623</th>\n",
       "      <td>2890</td>\n",
       "      <td>Gake no Ue no Ponyo</td>\n",
       "      <td>Adventure, Fantasy</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>7.93</td>\n",
       "      <td>140277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>607</th>\n",
       "      <td>317</td>\n",
       "      <td>Final Fantasy VII: Advent Children</td>\n",
       "      <td>Action, Fantasy, Super Power</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>7.94</td>\n",
       "      <td>138659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>5</td>\n",
       "      <td>Cowboy Bebop: Tengoku no Tobira</td>\n",
       "      <td>Action, Drama, Mystery, Sci-Fi, Space</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>8.40</td>\n",
       "      <td>137636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>11981</td>\n",
       "      <td>Mahou Shoujo Madoka★Magica Movie 3: Hangyaku n...</td>\n",
       "      <td>Drama, Magic, Psychological, Thriller</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>8.50</td>\n",
       "      <td>135735</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8163</th>\n",
       "      <td>33342</td>\n",
       "      <td>Ari to Kirigirisu</td>\n",
       "      <td>Kids, Music</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>3.00</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10563</th>\n",
       "      <td>26149</td>\n",
       "      <td>Tobiuo no Boy wa Byouki Desu</td>\n",
       "      <td>Fantasy, Historical, Kids</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>7.75</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9705</th>\n",
       "      <td>31017</td>\n",
       "      <td>Neko wa Ikite Iru</td>\n",
       "      <td>Drama, Historical, Kids</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>7.33</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10389</th>\n",
       "      <td>30024</td>\n",
       "      <td>SOS Kochira Chikyuu</td>\n",
       "      <td>Drama, Kids</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>6.25</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8303</th>\n",
       "      <td>30267</td>\n",
       "      <td>Chan Shuo A Kuan</td>\n",
       "      <td>Comedy, Slice of Life</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>5.50</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8819</th>\n",
       "      <td>32622</td>\n",
       "      <td>Hello Kitty no Oyayubi-hime</td>\n",
       "      <td>Adventure, Fantasy, Kids</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>5.14</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9848</th>\n",
       "      <td>33343</td>\n",
       "      <td>Omusubi Kororin</td>\n",
       "      <td>Fantasy, Kids</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>3.33</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9403</th>\n",
       "      <td>32823</td>\n",
       "      <td>Long Zai Na Li</td>\n",
       "      <td>Adventure, Comedy</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>7.50</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9155</th>\n",
       "      <td>32623</td>\n",
       "      <td>Kasa Jizou</td>\n",
       "      <td>Fantasy, Historical</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>4.43</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10775</th>\n",
       "      <td>32808</td>\n",
       "      <td>Xiong Chu Mo Zhi Duo Bao Qibing</td>\n",
       "      <td>Adventure, Comedy</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>4.00</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8920</th>\n",
       "      <td>30268</td>\n",
       "      <td>Huang Feihong Yong Chuang Tianxia</td>\n",
       "      <td>Action, Martial Arts, Shounen</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>5.17</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10610</th>\n",
       "      <td>33691</td>\n",
       "      <td>Tsukiyo to Megane</td>\n",
       "      <td>Fantasy</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>4.67</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9452</th>\n",
       "      <td>32224</td>\n",
       "      <td>Mako-chan no Koutsuu Anzen</td>\n",
       "      <td>Drama, Kids</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>3.77</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10191</th>\n",
       "      <td>32796</td>\n",
       "      <td>Shenmi Shijie Lixian Ji</td>\n",
       "      <td>Adventure, Comedy, Fantasy</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>9.00</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10223</th>\n",
       "      <td>33132</td>\n",
       "      <td>Shin Kachikachi Yama</td>\n",
       "      <td>Fantasy</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>7.50</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10668</th>\n",
       "      <td>34038</td>\n",
       "      <td>Umihiko Yamahiko</td>\n",
       "      <td>Fantasy, Historical</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>6.00</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8127</th>\n",
       "      <td>32253</td>\n",
       "      <td>Ama Gli Animali</td>\n",
       "      <td>Kids</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>5.67</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10192</th>\n",
       "      <td>32797</td>\n",
       "      <td>Shenmi Shijie Lixian Ji 2</td>\n",
       "      <td>Adventure, Comedy, Fantasy</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>6.75</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10651</th>\n",
       "      <td>30054</td>\n",
       "      <td>Uli Sai Jjang-Iya</td>\n",
       "      <td>School</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>5.00</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10844</th>\n",
       "      <td>33828</td>\n",
       "      <td>Yume Kakeru Kougen: Kiyosato no Chichi Paul Rusch</td>\n",
       "      <td>Historical</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>8.00</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9060</th>\n",
       "      <td>33134</td>\n",
       "      <td>Kachikachi Yama (1939)</td>\n",
       "      <td>Fantasy</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>7.00</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9005</th>\n",
       "      <td>32252</td>\n",
       "      <td>Japonese</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>6.67</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9998</th>\n",
       "      <td>32621</td>\n",
       "      <td>Pokopon no Yukai na Saiyuuki</td>\n",
       "      <td>Adventure, Fantasy, Kids, Magic, Martial Arts</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>5.57</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10100</th>\n",
       "      <td>33078</td>\n",
       "      <td>Ryoku Tama Shinshi</td>\n",
       "      <td>Comedy, Demons</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>6.00</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9062</th>\n",
       "      <td>33136</td>\n",
       "      <td>Kachikachi Yama (1958)</td>\n",
       "      <td>Fantasy</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>5.67</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10181</th>\n",
       "      <td>32627</td>\n",
       "      <td>Shaka no Shougai</td>\n",
       "      <td>Historical</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>9.00</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10574</th>\n",
       "      <td>33533</td>\n",
       "      <td>Tokyo Onlypic</td>\n",
       "      <td>Comedy, Parody, Sports</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>6.33</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8892</th>\n",
       "      <td>34115</td>\n",
       "      <td>Hitori de Nayamanaide Issho ni Kangaeyou</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>4.22</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9341</th>\n",
       "      <td>34201</td>\n",
       "      <td>Kuni-chan no Ikka Ranran</td>\n",
       "      <td>Drama, Slice of Life</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>7.50</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10464</th>\n",
       "      <td>33662</td>\n",
       "      <td>Taka no Tsume 8: Yoshida-kun no X-Files</td>\n",
       "      <td>Comedy, Parody</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>10.00</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2258 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       anime_id                                               name  \\\n",
       "15          199                      Sen to Chihiro no Kamikakushi   \n",
       "24          164                                      Mononoke Hime   \n",
       "35          431                                Howl no Ugoku Shiro   \n",
       "411        1689                              Byousoku 5 Centimeter   \n",
       "132        2236                              Toki wo Kakeru Shoujo   \n",
       "115         523                                   Tonari no Totoro   \n",
       "25         7311                      Suzumiya Haruhi no Shoushitsu   \n",
       "18        12355                       Ookami Kodomo no Ame to Yuki   \n",
       "225        5681                                        Summer Wars   \n",
       "191          43                                 Ghost in the Shell   \n",
       "358          47                                              Akira   \n",
       "130          32     Neon Genesis Evangelion: The End of Evangelion   \n",
       "0         32281                                     Kimi no Na wa.   \n",
       "60        10408                                 Hotarubi no Mori e   \n",
       "294        2759                Evangelion: 1.0 You Are (Not) Alone   \n",
       "59        11577         Steins;Gate Movie: Fuka Ryouiki no Déjà vu   \n",
       "186       16782                                   Kotonoha no Niwa   \n",
       "971         430    Fullmetal Alchemist: The Conqueror of Shamballa   \n",
       "90         3784              Evangelion: 2.0 You Can (Not) Advance   \n",
       "834        2593                    Kara no Kyoukai 1: Fukan Fuukei   \n",
       "71          578                                     Hotaru no Haka   \n",
       "365        1943                                            Paprika   \n",
       "239         512                                 Majo no Takkyuubin   \n",
       "1333       1686                 Bleach Movie 1: Memories of Nobody   \n",
       "170         513                             Tenkuu no Shiro Laputa   \n",
       "117         572                           Kaze no Tani no Nausicaä   \n",
       "623        2890                                Gake no Ue no Ponyo   \n",
       "607         317                 Final Fantasy VII: Advent Children   \n",
       "152           5                    Cowboy Bebop: Tengoku no Tobira   \n",
       "102       11981  Mahou Shoujo Madoka★Magica Movie 3: Hangyaku n...   \n",
       "...         ...                                                ...   \n",
       "8163      33342                                  Ari to Kirigirisu   \n",
       "10563     26149                       Tobiuo no Boy wa Byouki Desu   \n",
       "9705      31017                                  Neko wa Ikite Iru   \n",
       "10389     30024                                SOS Kochira Chikyuu   \n",
       "8303      30267                                   Chan Shuo A Kuan   \n",
       "8819      32622                        Hello Kitty no Oyayubi-hime   \n",
       "9848      33343                                    Omusubi Kororin   \n",
       "9403      32823                                     Long Zai Na Li   \n",
       "9155      32623                                         Kasa Jizou   \n",
       "10775     32808                    Xiong Chu Mo Zhi Duo Bao Qibing   \n",
       "8920      30268                  Huang Feihong Yong Chuang Tianxia   \n",
       "10610     33691                                  Tsukiyo to Megane   \n",
       "9452      32224                         Mako-chan no Koutsuu Anzen   \n",
       "10191     32796                            Shenmi Shijie Lixian Ji   \n",
       "10223     33132                               Shin Kachikachi Yama   \n",
       "10668     34038                                   Umihiko Yamahiko   \n",
       "8127      32253                                    Ama Gli Animali   \n",
       "10192     32797                          Shenmi Shijie Lixian Ji 2   \n",
       "10651     30054                                  Uli Sai Jjang-Iya   \n",
       "10844     33828  Yume Kakeru Kougen: Kiyosato no Chichi Paul Rusch   \n",
       "9060      33134                             Kachikachi Yama (1939)   \n",
       "9005      32252                                           Japonese   \n",
       "9998      32621                       Pokopon no Yukai na Saiyuuki   \n",
       "10100     33078                                 Ryoku Tama Shinshi   \n",
       "9062      33136                             Kachikachi Yama (1958)   \n",
       "10181     32627                                   Shaka no Shougai   \n",
       "10574     33533                                      Tokyo Onlypic   \n",
       "8892      34115           Hitori de Nayamanaide Issho ni Kangaeyou   \n",
       "9341      34201                           Kuni-chan no Ikka Ranran   \n",
       "10464     33662            Taka no Tsume 8: Yoshida-kun no X-Files   \n",
       "\n",
       "                                                   genre   type  episodes  \\\n",
       "15                        Adventure, Drama, Supernatural  Movie         1   \n",
       "24                            Action, Adventure, Fantasy  Movie         1   \n",
       "35                    Adventure, Drama, Fantasy, Romance  Movie         1   \n",
       "411                        Drama, Romance, Slice of Life  Movie         3   \n",
       "132                    Adventure, Drama, Romance, Sci-Fi  Movie         1   \n",
       "115                      Adventure, Comedy, Supernatural  Movie         1   \n",
       "25     Comedy, Mystery, Romance, School, Sci-Fi, Supe...  Movie         1   \n",
       "18                                Fantasy, Slice of Life  Movie         1   \n",
       "225                                       Comedy, Sci-Fi  Movie         1   \n",
       "191    Action, Mecha, Police, Psychological, Sci-Fi, ...  Movie         1   \n",
       "358    Action, Adventure, Horror, Military, Sci-Fi, S...  Movie         1   \n",
       "130        Dementia, Drama, Mecha, Psychological, Sci-Fi  Movie         1   \n",
       "0                   Drama, Romance, School, Supernatural  Movie         1   \n",
       "60                  Drama, Romance, Shoujo, Supernatural  Movie         1   \n",
       "294                                Action, Mecha, Sci-Fi  Movie         1   \n",
       "59                                      Sci-Fi, Thriller  Movie         1   \n",
       "186         Drama, Psychological, Romance, Slice of Life  Movie         1   \n",
       "971    Comedy, Drama, Fantasy, Historical, Military, ...  Movie         1   \n",
       "90                                 Action, Mecha, Sci-Fi  Movie         1   \n",
       "834              Action, Mystery, Supernatural, Thriller  Movie         1   \n",
       "71                                     Drama, Historical  Movie         1   \n",
       "365    Fantasy, Horror, Mystery, Psychological, Sci-F...  Movie         1   \n",
       "239    Adventure, Comedy, Drama, Fantasy, Magic, Romance  Movie         1   \n",
       "1333                      Action, Adventure, Super Power  Movie         1   \n",
       "170                  Adventure, Fantasy, Romance, Sci-Fi  Movie         1   \n",
       "117                                   Adventure, Fantasy  Movie         1   \n",
       "623                                   Adventure, Fantasy  Movie         1   \n",
       "607                         Action, Fantasy, Super Power  Movie         1   \n",
       "152                Action, Drama, Mystery, Sci-Fi, Space  Movie         1   \n",
       "102                Drama, Magic, Psychological, Thriller  Movie         1   \n",
       "...                                                  ...    ...       ...   \n",
       "8163                                         Kids, Music  Movie         1   \n",
       "10563                          Fantasy, Historical, Kids  Movie         1   \n",
       "9705                             Drama, Historical, Kids  Movie         1   \n",
       "10389                                        Drama, Kids  Movie         1   \n",
       "8303                               Comedy, Slice of Life  Movie         1   \n",
       "8819                            Adventure, Fantasy, Kids  Movie         1   \n",
       "9848                                       Fantasy, Kids  Movie         1   \n",
       "9403                                   Adventure, Comedy  Movie         1   \n",
       "9155                                 Fantasy, Historical  Movie         1   \n",
       "10775                                  Adventure, Comedy  Movie         1   \n",
       "8920                       Action, Martial Arts, Shounen  Movie         1   \n",
       "10610                                            Fantasy  Movie         1   \n",
       "9452                                         Drama, Kids  Movie         1   \n",
       "10191                         Adventure, Comedy, Fantasy  Movie         1   \n",
       "10223                                            Fantasy  Movie         1   \n",
       "10668                                Fantasy, Historical  Movie         1   \n",
       "8127                                                Kids  Movie         1   \n",
       "10192                         Adventure, Comedy, Fantasy  Movie         1   \n",
       "10651                                             School  Movie         1   \n",
       "10844                                         Historical  Movie         1   \n",
       "9060                                             Fantasy  Movie         1   \n",
       "9005                                              Comedy  Movie         1   \n",
       "9998       Adventure, Fantasy, Kids, Magic, Martial Arts  Movie         1   \n",
       "10100                                     Comedy, Demons  Movie         1   \n",
       "9062                                             Fantasy  Movie         1   \n",
       "10181                                         Historical  Movie         1   \n",
       "10574                             Comedy, Parody, Sports  Movie         1   \n",
       "8892                                               Drama  Movie         1   \n",
       "9341                                Drama, Slice of Life  Movie         1   \n",
       "10464                                     Comedy, Parody  Movie         1   \n",
       "\n",
       "       rating  members  \n",
       "15       8.93   466254  \n",
       "24       8.81   339556  \n",
       "35       8.74   333186  \n",
       "411      8.10   324035  \n",
       "132      8.44   289206  \n",
       "115      8.48   271484  \n",
       "25       8.81   240297  \n",
       "18       8.84   226193  \n",
       "225      8.30   223359  \n",
       "191      8.34   223036  \n",
       "358      8.15   215897  \n",
       "130      8.45   215630  \n",
       "0        9.37   200630  \n",
       "60       8.61   197439  \n",
       "294      8.21   194561  \n",
       "59       8.61   192424  \n",
       "186      8.35   189741  \n",
       "971      7.74   186465  \n",
       "90       8.53   182224  \n",
       "834      7.81   178880  \n",
       "71       8.58   174878  \n",
       "365      8.15   163308  \n",
       "239      8.27   152331  \n",
       "1333     7.58   151598  \n",
       "170      8.38   151061  \n",
       "117      8.47   143273  \n",
       "623      7.93   140277  \n",
       "607      7.94   138659  \n",
       "152      8.40   137636  \n",
       "102      8.50   135735  \n",
       "...       ...      ...  \n",
       "8163     3.00       42  \n",
       "10563    7.75       41  \n",
       "9705     7.33       41  \n",
       "10389    6.25       41  \n",
       "8303     5.50       41  \n",
       "8819     5.14       41  \n",
       "9848     3.33       41  \n",
       "9403     7.50       40  \n",
       "9155     4.43       40  \n",
       "10775    4.00       40  \n",
       "8920     5.17       39  \n",
       "10610    4.67       39  \n",
       "9452     3.77       39  \n",
       "10191    9.00       37  \n",
       "10223    7.50       37  \n",
       "10668    6.00       37  \n",
       "8127     5.67       37  \n",
       "10192    6.75       36  \n",
       "10651    5.00       36  \n",
       "10844    8.00       35  \n",
       "9060     7.00       35  \n",
       "9005     6.67       35  \n",
       "9998     5.57       35  \n",
       "10100    6.00       33  \n",
       "9062     5.67       33  \n",
       "10181    9.00       31  \n",
       "10574    6.33       29  \n",
       "8892     4.22       29  \n",
       "9341     7.50       24  \n",
       "10464   10.00       13  \n",
       "\n",
       "[2258 rows x 7 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_movies.sort_values(['members','rating'],ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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wc+EGdh+MZlCfy9m8+zCL1uxixsINvHB/N74dezdxCUmMeP8XAJqEV2FAj5akOZw4reX1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\nagAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x233d4fab2b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (16,5))\n",
    "df_check=df_movies.corr()\n",
    "sns.heatmap(df_check, annot=True, fmt=\"g\", cmap='viridis')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "del df_movies['episodes']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "del df_movies['anime_id']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "del df_movies['type']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>genre</th>\n",
       "      <th>rating</th>\n",
       "      <th>members</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Kimi no Na wa.</td>\n",
       "      <td>Drama, Romance, School, Supernatural</td>\n",
       "      <td>9.37</td>\n",
       "      <td>200630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Gintama Movie: Kanketsu-hen - Yorozuya yo Eien...</td>\n",
       "      <td>Action, Comedy, Historical, Parody, Samurai, S...</td>\n",
       "      <td>9.10</td>\n",
       "      <td>72534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Koe no Katachi</td>\n",
       "      <td>Drama, School, Shounen</td>\n",
       "      <td>9.05</td>\n",
       "      <td>102733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Sen to Chihiro no Kamikakushi</td>\n",
       "      <td>Adventure, Drama, Supernatural</td>\n",
       "      <td>8.93</td>\n",
       "      <td>466254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Ookami Kodomo no Ame to Yuki</td>\n",
       "      <td>Fantasy, Slice of Life</td>\n",
       "      <td>8.84</td>\n",
       "      <td>226193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Mononoke Hime</td>\n",
       "      <td>Action, Adventure, Fantasy</td>\n",
       "      <td>8.81</td>\n",
       "      <td>339556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Suzumiya Haruhi no Shoushitsu</td>\n",
       "      <td>Comedy, Mystery, Romance, School, Sci-Fi, Supe...</td>\n",
       "      <td>8.81</td>\n",
       "      <td>240297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Mushishi Zoku Shou: Suzu no Shizuku</td>\n",
       "      <td>Adventure, Fantasy, Historical, Mystery, Seine...</td>\n",
       "      <td>8.75</td>\n",
       "      <td>32266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Howl no Ugoku Shiro</td>\n",
       "      <td>Adventure, Drama, Fantasy, Romance</td>\n",
       "      <td>8.74</td>\n",
       "      <td>333186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Kizumonogatari II: Nekketsu-hen</td>\n",
       "      <td>Action, Mystery, Supernatural, Vampire</td>\n",
       "      <td>8.73</td>\n",
       "      <td>34347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Kara no Kyoukai 5: Mujun Rasen</td>\n",
       "      <td>Action, Drama, Mystery, Romance, Supernatural,...</td>\n",
       "      <td>8.68</td>\n",
       "      <td>111074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Tengen Toppa Gurren Lagann Movie: Lagann-hen</td>\n",
       "      <td>Action, Mecha, Sci-Fi, Space, Super Power</td>\n",
       "      <td>8.64</td>\n",
       "      <td>82253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Steins;Gate Movie: Fuka Ryouiki no Déjà vu</td>\n",
       "      <td>Sci-Fi, Thriller</td>\n",
       "      <td>8.61</td>\n",
       "      <td>192424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Hotarubi no Mori e</td>\n",
       "      <td>Drama, Romance, Shoujo, Supernatural</td>\n",
       "      <td>8.61</td>\n",
       "      <td>197439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Gintama: Yorinuki Gintama-san on Theater 2D</td>\n",
       "      <td>Action, Comedy, Historical, Parody, Samurai, S...</td>\n",
       "      <td>8.60</td>\n",
       "      <td>11104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>Gintama Movie: Shinyaku Benizakura-hen</td>\n",
       "      <td>Action, Comedy, Historical, Parody, Samurai, S...</td>\n",
       "      <td>8.59</td>\n",
       "      <td>51185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Bakemono no Ko</td>\n",
       "      <td>Adventure, Supernatural</td>\n",
       "      <td>8.58</td>\n",
       "      <td>80825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>Hotaru no Haka</td>\n",
       "      <td>Drama, Historical</td>\n",
       "      <td>8.58</td>\n",
       "      <td>174878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>Kara no Kyoukai 7: Satsujin Kousatsu (Kou)</td>\n",
       "      <td>Action, Mystery, Romance, Supernatural, Thriller</td>\n",
       "      <td>8.57</td>\n",
       "      <td>95658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Girls und Panzer der Film</td>\n",
       "      <td>Military, School</td>\n",
       "      <td>8.55</td>\n",
       "      <td>25641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Doukyuusei (Movie)</td>\n",
       "      <td>Romance, School, Shounen Ai, Slice of Life</td>\n",
       "      <td>8.53</td>\n",
       "      <td>28864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>Evangelion: 2.0 You Can (Not) Advance</td>\n",
       "      <td>Action, Mecha, Sci-Fi</td>\n",
       "      <td>8.53</td>\n",
       "      <td>182224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>Mahou Shoujo Madoka★Magica Movie 3: Hangyaku n...</td>\n",
       "      <td>Drama, Magic, Psychological, Thriller</td>\n",
       "      <td>8.50</td>\n",
       "      <td>135735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>Mahou Shoujo Madoka★Magica Movie 2: Eien no Mo...</td>\n",
       "      <td>Drama, Magic, Psychological, Thriller</td>\n",
       "      <td>8.49</td>\n",
       "      <td>85361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>Tonari no Totoro</td>\n",
       "      <td>Adventure, Comedy, Supernatural</td>\n",
       "      <td>8.48</td>\n",
       "      <td>271484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>Kaze no Tani no Nausicaä</td>\n",
       "      <td>Adventure, Fantasy</td>\n",
       "      <td>8.47</td>\n",
       "      <td>143273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>Kizumonogatari I: Tekketsu-hen</td>\n",
       "      <td>Mystery, Supernatural, Vampire</td>\n",
       "      <td>8.45</td>\n",
       "      <td>99579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>Neon Genesis Evangelion: The End of Evangelion</td>\n",
       "      <td>Dementia, Drama, Mecha, Psychological, Sci-Fi</td>\n",
       "      <td>8.45</td>\n",
       "      <td>215630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>Toki wo Kakeru Shoujo</td>\n",
       "      <td>Adventure, Drama, Romance, Sci-Fi</td>\n",
       "      <td>8.44</td>\n",
       "      <td>289206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>Stranger: Mukou Hadan</td>\n",
       "      <td>Action, Adventure, Historical, Samurai</td>\n",
       "      <td>8.43</td>\n",
       "      <td>125503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10780</th>\n",
       "      <td>Xiyue Qi Tong (2006)</td>\n",
       "      <td>Action, Adventure, Fantasy</td>\n",
       "      <td>5.38</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10781</th>\n",
       "      <td>Xue Haizi</td>\n",
       "      <td>Fantasy, Kids</td>\n",
       "      <td>6.60</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10789</th>\n",
       "      <td>Yakyuukyou no Uta: Kita no Ookami Minami no Tora</td>\n",
       "      <td>Action, Drama, Sports</td>\n",
       "      <td>6.35</td>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10804</th>\n",
       "      <td>Yasai no Yousei: Quiz Gekijou</td>\n",
       "      <td>Comedy, Kids</td>\n",
       "      <td>6.00</td>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10826</th>\n",
       "      <td>Yongshi</td>\n",
       "      <td>Historical, Martial Arts</td>\n",
       "      <td>6.67</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10833</th>\n",
       "      <td>Youtai Nuhai Zai Shanghai</td>\n",
       "      <td>Historical, Kids, Shoujo</td>\n",
       "      <td>7.00</td>\n",
       "      <td>94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10835</th>\n",
       "      <td>Yowamushi Chinsengumi</td>\n",
       "      <td>Comedy, Kids</td>\n",
       "      <td>5.75</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10839</th>\n",
       "      <td>Yuki no Yo no Yume</td>\n",
       "      <td>Drama</td>\n",
       "      <td>4.79</td>\n",
       "      <td>125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10840</th>\n",
       "      <td>Yukidaruma</td>\n",
       "      <td>Fantasy, Historical</td>\n",
       "      <td>6.60</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10842</th>\n",
       "      <td>Yukiguni no Oujisama</td>\n",
       "      <td>Slice of Life</td>\n",
       "      <td>7.00</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10843</th>\n",
       "      <td>Yukiwatari</td>\n",
       "      <td>Fantasy</td>\n",
       "      <td>6.13</td>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10844</th>\n",
       "      <td>Yume Kakeru Kougen: Kiyosato no Chichi Paul Rusch</td>\n",
       "      <td>Historical</td>\n",
       "      <td>8.00</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10846</th>\n",
       "      <td>Yume no Jidousha</td>\n",
       "      <td>Cars</td>\n",
       "      <td>5.60</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10848</th>\n",
       "      <td>Yume Utsutsu</td>\n",
       "      <td>Dementia</td>\n",
       "      <td>4.40</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10852</th>\n",
       "      <td>Yumemi Douji</td>\n",
       "      <td>Drama</td>\n",
       "      <td>5.27</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10861</th>\n",
       "      <td>Yuuto-kun ga Iku Movie</td>\n",
       "      <td>Kids, Sports</td>\n",
       "      <td>6.50</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10866</th>\n",
       "      <td>Zegapain ADP</td>\n",
       "      <td>Action, Mecha, Romance, Sci-Fi</td>\n",
       "      <td>6.35</td>\n",
       "      <td>1859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10867</th>\n",
       "      <td>Zenchuu Maite</td>\n",
       "      <td>Dementia</td>\n",
       "      <td>4.27</td>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10869</th>\n",
       "      <td>Zeno: Kagirinaki Ai ni</td>\n",
       "      <td>Drama, Historical</td>\n",
       "      <td>6.76</td>\n",
       "      <td>207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10881</th>\n",
       "      <td>Ziggy: Soreyuke! R&amp;amp;R Band</td>\n",
       "      <td>Adventure, Music, Mystery</td>\n",
       "      <td>6.45</td>\n",
       "      <td>123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10890</th>\n",
       "      <td>Zou no Inai Doubutsuen</td>\n",
       "      <td>Drama</td>\n",
       "      <td>6.07</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10891</th>\n",
       "      <td>Zouressha ga Yatte Kita</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>6.06</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11154</th>\n",
       "      <td>Kanashimi no Belladonna</td>\n",
       "      <td>Drama, Hentai</td>\n",
       "      <td>7.28</td>\n",
       "      <td>6599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11605</th>\n",
       "      <td>Choujin Densetsu Urotsukidouji Movie</td>\n",
       "      <td>Action, Demons, Drama, Hentai</td>\n",
       "      <td>6.37</td>\n",
       "      <td>2545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11665</th>\n",
       "      <td>Choujin Densetsu Urotsukidouji 2</td>\n",
       "      <td>Demons, Fantasy, Hentai, Horror, Sci-Fi</td>\n",
       "      <td>6.28</td>\n",
       "      <td>1830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11738</th>\n",
       "      <td>Senya Ichiya Monogatari</td>\n",
       "      <td>Fantasy, Hentai</td>\n",
       "      <td>6.18</td>\n",
       "      <td>1394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11805</th>\n",
       "      <td>Cleopatra</td>\n",
       "      <td>Hentai, Historical</td>\n",
       "      <td>6.06</td>\n",
       "      <td>1709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12244</th>\n",
       "      <td>Blue Seagull</td>\n",
       "      <td>Action, Hentai</td>\n",
       "      <td>4.60</td>\n",
       "      <td>337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12258</th>\n",
       "      <td>Hi Gekiga Ukiyoe Senya Ichiya</td>\n",
       "      <td>Action, Hentai</td>\n",
       "      <td>1.92</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12293</th>\n",
       "      <td>Yasuji no Pornorama: Yacchimae!!</td>\n",
       "      <td>Hentai</td>\n",
       "      <td>5.46</td>\n",
       "      <td>142</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2258 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    name  \\\n",
       "0                                         Kimi no Na wa.   \n",
       "8      Gintama Movie: Kanketsu-hen - Yorozuya yo Eien...   \n",
       "11                                        Koe no Katachi   \n",
       "15                         Sen to Chihiro no Kamikakushi   \n",
       "18                          Ookami Kodomo no Ame to Yuki   \n",
       "24                                         Mononoke Hime   \n",
       "25                         Suzumiya Haruhi no Shoushitsu   \n",
       "33                   Mushishi Zoku Shou: Suzu no Shizuku   \n",
       "35                                   Howl no Ugoku Shiro   \n",
       "37                       Kizumonogatari II: Nekketsu-hen   \n",
       "45                        Kara no Kyoukai 5: Mujun Rasen   \n",
       "55          Tengen Toppa Gurren Lagann Movie: Lagann-hen   \n",
       "59            Steins;Gate Movie: Fuka Ryouiki no Déjà vu   \n",
       "60                                    Hotarubi no Mori e   \n",
       "63           Gintama: Yorinuki Gintama-san on Theater 2D   \n",
       "65                Gintama Movie: Shinyaku Benizakura-hen   \n",
       "70                                        Bakemono no Ko   \n",
       "71                                        Hotaru no Haka   \n",
       "77            Kara no Kyoukai 7: Satsujin Kousatsu (Kou)   \n",
       "81                             Girls und Panzer der Film   \n",
       "89                                    Doukyuusei (Movie)   \n",
       "90                 Evangelion: 2.0 You Can (Not) Advance   \n",
       "102    Mahou Shoujo Madoka★Magica Movie 3: Hangyaku n...   \n",
       "107    Mahou Shoujo Madoka★Magica Movie 2: Eien no Mo...   \n",
       "115                                     Tonari no Totoro   \n",
       "117                             Kaze no Tani no Nausicaä   \n",
       "129                       Kizumonogatari I: Tekketsu-hen   \n",
       "130       Neon Genesis Evangelion: The End of Evangelion   \n",
       "132                                Toki wo Kakeru Shoujo   \n",
       "136                                Stranger: Mukou Hadan   \n",
       "...                                                  ...   \n",
       "10780                               Xiyue Qi Tong (2006)   \n",
       "10781                                          Xue Haizi   \n",
       "10789   Yakyuukyou no Uta: Kita no Ookami Minami no Tora   \n",
       "10804                      Yasai no Yousei: Quiz Gekijou   \n",
       "10826                                            Yongshi   \n",
       "10833                          Youtai Nuhai Zai Shanghai   \n",
       "10835                              Yowamushi Chinsengumi   \n",
       "10839                                 Yuki no Yo no Yume   \n",
       "10840                                         Yukidaruma   \n",
       "10842                               Yukiguni no Oujisama   \n",
       "10843                                         Yukiwatari   \n",
       "10844  Yume Kakeru Kougen: Kiyosato no Chichi Paul Rusch   \n",
       "10846                                   Yume no Jidousha   \n",
       "10848                                       Yume Utsutsu   \n",
       "10852                                       Yumemi Douji   \n",
       "10861                             Yuuto-kun ga Iku Movie   \n",
       "10866                                       Zegapain ADP   \n",
       "10867                                      Zenchuu Maite   \n",
       "10869                             Zeno: Kagirinaki Ai ni   \n",
       "10881                      Ziggy: Soreyuke! R&amp;R Band   \n",
       "10890                             Zou no Inai Doubutsuen   \n",
       "10891                            Zouressha ga Yatte Kita   \n",
       "11154                            Kanashimi no Belladonna   \n",
       "11605               Choujin Densetsu Urotsukidouji Movie   \n",
       "11665                   Choujin Densetsu Urotsukidouji 2   \n",
       "11738                            Senya Ichiya Monogatari   \n",
       "11805                                          Cleopatra   \n",
       "12244                                       Blue Seagull   \n",
       "12258                      Hi Gekiga Ukiyoe Senya Ichiya   \n",
       "12293                   Yasuji no Pornorama: Yacchimae!!   \n",
       "\n",
       "                                                   genre  rating  members  \n",
       "0                   Drama, Romance, School, Supernatural    9.37   200630  \n",
       "8      Action, Comedy, Historical, Parody, Samurai, S...    9.10    72534  \n",
       "11                                Drama, School, Shounen    9.05   102733  \n",
       "15                        Adventure, Drama, Supernatural    8.93   466254  \n",
       "18                                Fantasy, Slice of Life    8.84   226193  \n",
       "24                            Action, Adventure, Fantasy    8.81   339556  \n",
       "25     Comedy, Mystery, Romance, School, Sci-Fi, Supe...    8.81   240297  \n",
       "33     Adventure, Fantasy, Historical, Mystery, Seine...    8.75    32266  \n",
       "35                    Adventure, Drama, Fantasy, Romance    8.74   333186  \n",
       "37                Action, Mystery, Supernatural, Vampire    8.73    34347  \n",
       "45     Action, Drama, Mystery, Romance, Supernatural,...    8.68   111074  \n",
       "55             Action, Mecha, Sci-Fi, Space, Super Power    8.64    82253  \n",
       "59                                      Sci-Fi, Thriller    8.61   192424  \n",
       "60                  Drama, Romance, Shoujo, Supernatural    8.61   197439  \n",
       "63     Action, Comedy, Historical, Parody, Samurai, S...    8.60    11104  \n",
       "65     Action, Comedy, Historical, Parody, Samurai, S...    8.59    51185  \n",
       "70                               Adventure, Supernatural    8.58    80825  \n",
       "71                                     Drama, Historical    8.58   174878  \n",
       "77      Action, Mystery, Romance, Supernatural, Thriller    8.57    95658  \n",
       "81                                      Military, School    8.55    25641  \n",
       "89            Romance, School, Shounen Ai, Slice of Life    8.53    28864  \n",
       "90                                 Action, Mecha, Sci-Fi    8.53   182224  \n",
       "102                Drama, Magic, Psychological, Thriller    8.50   135735  \n",
       "107                Drama, Magic, Psychological, Thriller    8.49    85361  \n",
       "115                      Adventure, Comedy, Supernatural    8.48   271484  \n",
       "117                                   Adventure, Fantasy    8.47   143273  \n",
       "129                       Mystery, Supernatural, Vampire    8.45    99579  \n",
       "130        Dementia, Drama, Mecha, Psychological, Sci-Fi    8.45   215630  \n",
       "132                    Adventure, Drama, Romance, Sci-Fi    8.44   289206  \n",
       "136               Action, Adventure, Historical, Samurai    8.43   125503  \n",
       "...                                                  ...     ...      ...  \n",
       "10780                         Action, Adventure, Fantasy    5.38       43  \n",
       "10781                                      Fantasy, Kids    6.60       51  \n",
       "10789                              Action, Drama, Sports    6.35      112  \n",
       "10804                                       Comedy, Kids    6.00       87  \n",
       "10826                           Historical, Martial Arts    6.67       46  \n",
       "10833                           Historical, Kids, Shoujo    7.00       94  \n",
       "10835                                       Comedy, Kids    5.75       74  \n",
       "10839                                              Drama    4.79      125  \n",
       "10840                                Fantasy, Historical    6.60       51  \n",
       "10842                                      Slice of Life    7.00       62  \n",
       "10843                                            Fantasy    6.13      130  \n",
       "10844                                         Historical    8.00       35  \n",
       "10846                                               Cars    5.60       66  \n",
       "10848                                           Dementia    4.40       65  \n",
       "10852                                              Drama    5.27       79  \n",
       "10861                                       Kids, Sports    6.50       60  \n",
       "10866                     Action, Mecha, Romance, Sci-Fi    6.35     1859  \n",
       "10867                                           Dementia    4.27       73  \n",
       "10869                                  Drama, Historical    6.76      207  \n",
       "10881                          Adventure, Music, Mystery    6.45      123  \n",
       "10890                                              Drama    6.07       85  \n",
       "10891                                          Adventure    6.06       78  \n",
       "11154                                      Drama, Hentai    7.28     6599  \n",
       "11605                      Action, Demons, Drama, Hentai    6.37     2545  \n",
       "11665            Demons, Fantasy, Hentai, Horror, Sci-Fi    6.28     1830  \n",
       "11738                                    Fantasy, Hentai    6.18     1394  \n",
       "11805                                 Hentai, Historical    6.06     1709  \n",
       "12244                                     Action, Hentai    4.60      337  \n",
       "12258                                     Action, Hentai    1.92      129  \n",
       "12293                                             Hentai    5.46      142  \n",
       "\n",
       "[2258 rows x 4 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_movies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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wc+EGdh+MZlCfy9m8+zCL1uxixsINvHB/N74dezdxCUmMeP8XAJqEV2FAj5akOZw4reX1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\n3P1UYFK+v3kpjZoRnJ9tgD+5ezvgNKCrmZ3m7iOB9UB3d+9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      "text/plain": [
       "<matplotlib.figure.Figure at 0x233d5328d68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (16,5))\n",
    "df_check=df_movies.corr()\n",
    "sns.heatmap(df_check, annot=True, fmt=\"g\", cmap='viridis')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10568.609831709477\n",
      "6.3344862710363055\n"
     ]
    }
   ],
   "source": [
    "print(df_movies['members'].mean())\n",
    "print(df_movies['rating'].mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\tusha\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:19: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
     ]
    }
   ],
   "source": [
    "def f(row):\n",
    "    val=0\n",
    "    if row['rating']>=9.5:\n",
    "        val=1\n",
    "    elif row['rating']>=9:\n",
    "        val=2\n",
    "    elif row['rating']>=8.5:\n",
    "        val=3\n",
    "    elif row['rating']>=8:\n",
    "        val=4\n",
    "    elif row['rating']>=7.5:\n",
    "        val=5\n",
    "    elif row['rating']>=7:\n",
    "        val=6\n",
    "    elif row['rating']>=6.5:\n",
    "        val=7\n",
    "    return val\n",
    "\n",
    "df_movies['hexcode'] = df_movies.apply(f, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\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",
       "      <th>hexcode</th>\n",
       "    </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",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>15335</td>\n",
       "      <td>Gintama Movie: Kanketsu-hen - Yorozuya yo Eien...</td>\n",
       "      <td>Action, Comedy, Historical, Parody, Samurai, S...</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>9.10</td>\n",
       "      <td>72534</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>28851</td>\n",
       "      <td>Koe no Katachi</td>\n",
       "      <td>Drama, School, Shounen</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>9.05</td>\n",
       "      <td>102733</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>199</td>\n",
       "      <td>Sen to Chihiro no Kamikakushi</td>\n",
       "      <td>Adventure, Drama, Supernatural</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>8.93</td>\n",
       "      <td>466254</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>12355</td>\n",
       "      <td>Ookami Kodomo no Ame to Yuki</td>\n",
       "      <td>Fantasy, Slice of Life</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>8.84</td>\n",
       "      <td>226193</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    anime_id                                               name  \\\n",
       "0      32281                                     Kimi no Na wa.   \n",
       "8      15335  Gintama Movie: Kanketsu-hen - Yorozuya yo Eien...   \n",
       "11     28851                                     Koe no Katachi   \n",
       "15       199                      Sen to Chihiro no Kamikakushi   \n",
       "18     12355                       Ookami Kodomo no Ame to Yuki   \n",
       "\n",
       "                                                genre   type  episodes  \\\n",
       "0                Drama, Romance, School, Supernatural  Movie         1   \n",
       "8   Action, Comedy, Historical, Parody, Samurai, S...  Movie         1   \n",
       "11                             Drama, School, Shounen  Movie         1   \n",
       "15                     Adventure, Drama, Supernatural  Movie         1   \n",
       "18                             Fantasy, Slice of Life  Movie         1   \n",
       "\n",
       "    rating  members  hexcode  \n",
       "0     9.37   200630        2  \n",
       "8     9.10    72534        2  \n",
       "11    9.05   102733        2  \n",
       "15    8.93   466254        3  \n",
       "18    8.84   226193        3  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_movies.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\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",
       "      <th>hexcode</th>\n",
       "    </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",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>15335</td>\n",
       "      <td>Gintama Movie: Kanketsu-hen - Yorozuya yo Eien...</td>\n",
       "      <td>Action, Comedy, Historical, Parody, Samurai, S...</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>9.10</td>\n",
       "      <td>72534</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>28851</td>\n",
       "      <td>Koe no Katachi</td>\n",
       "      <td>Drama, School, Shounen</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>9.05</td>\n",
       "      <td>102733</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>199</td>\n",
       "      <td>Sen to Chihiro no Kamikakushi</td>\n",
       "      <td>Adventure, Drama, Supernatural</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>8.93</td>\n",
       "      <td>466254</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>12355</td>\n",
       "      <td>Ookami Kodomo no Ame to Yuki</td>\n",
       "      <td>Fantasy, Slice of Life</td>\n",
       "      <td>Movie</td>\n",
       "      <td>1</td>\n",
       "      <td>8.84</td>\n",
       "      <td>226193</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    anime_id                                               name  \\\n",
       "0      32281                                     Kimi no Na wa.   \n",
       "8      15335  Gintama Movie: Kanketsu-hen - Yorozuya yo Eien...   \n",
       "11     28851                                     Koe no Katachi   \n",
       "15       199                      Sen to Chihiro no Kamikakushi   \n",
       "18     12355                       Ookami Kodomo no Ame to Yuki   \n",
       "\n",
       "                                                genre   type  episodes  \\\n",
       "0                Drama, Romance, School, Supernatural  Movie         1   \n",
       "8   Action, Comedy, Historical, Parody, Samurai, S...  Movie         1   \n",
       "11                             Drama, School, Shounen  Movie         1   \n",
       "15                     Adventure, Drama, Supernatural  Movie         1   \n",
       "18                             Fantasy, Slice of Life  Movie         1   \n",
       "\n",
       "    rating  members  hexcode  \n",
       "0     9.37   200630        2  \n",
       "8     9.10    72534        2  \n",
       "11    9.05   102733        2  \n",
       "15    8.93   466254        3  \n",
       "18    8.84   226193        3  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_considerable_movies=df_movies[(df_movies['members']>df_movies['members'].mean()) & (df_movies['rating']>df_movies['rating'].mean())]\n",
    "df_considerable_movies.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
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od9G0uarw4+rNH/+LhlwYyDPTm+YuK0NlADCwfkOyc+5nzrkbJC2StEbSn0ua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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x233d5425278>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "colordict={1:'#30E6B1',2:'#A1F5AD',3:'#E4B06E',4:'#EA4052',5:'#42C6CF',6:'#C6D359',7:'#45B39C'}\n",
    "plt.figure(figsize=(16, 8))\n",
    "plt.scatter(df_considerable_movies['rating'],df_considerable_movies['members'],s=df_considerable_movies['rating']**2,alpha=0.8,c=df_considerable_movies['hexcode'])\n",
    "plt.xlabel('Ratings')\n",
    "plt.ylabel('Audience')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x233d54255f8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Ju4oJa6+++qr3oYceavjqV7/61ne+853mQvrIdenzc5LeK2m10kuelyu9/AkA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\nuwuMmM6H/5+ZhcbDdz/L4KHJKOLoOo0/p0LRmEiZ3PrXs//iffjuZxk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LJvjqbW9eljXN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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x233d5186208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 8))\n",
    "sns.lmplot('rating','members', data=df_considerable_movies, hue='hexcode',fit_reg=False,size=8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user_id</th>\n",
       "      <th>anime_id</th>\n",
       "      <th>rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>7.813737e+06</td>\n",
       "      <td>7.813737e+06</td>\n",
       "      <td>7.813737e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.672796e+04</td>\n",
       "      <td>8.909072e+03</td>\n",
       "      <td>6.144030e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.099795e+04</td>\n",
       "      <td>8.883950e+03</td>\n",
       "      <td>3.727800e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>-1.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.897400e+04</td>\n",
       "      <td>1.240000e+03</td>\n",
       "      <td>6.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.679100e+04</td>\n",
       "      <td>6.213000e+03</td>\n",
       "      <td>7.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>5.475700e+04</td>\n",
       "      <td>1.409300e+04</td>\n",
       "      <td>9.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>7.351600e+04</td>\n",
       "      <td>3.451900e+04</td>\n",
       "      <td>1.000000e+01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            user_id      anime_id        rating\n",
       "count  7.813737e+06  7.813737e+06  7.813737e+06\n",
       "mean   3.672796e+04  8.909072e+03  6.144030e+00\n",
       "std    2.099795e+04  8.883950e+03  3.727800e+00\n",
       "min    1.000000e+00  1.000000e+00 -1.000000e+00\n",
       "25%    1.897400e+04  1.240000e+03  6.000000e+00\n",
       "50%    3.679100e+04  6.213000e+03  7.000000e+00\n",
       "75%    5.475700e+04  1.409300e+04  9.000000e+00\n",
       "max    7.351600e+04  3.451900e+04  1.000000e+01"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_rate.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_movies_rec=pd.merge(df_movies,df_rate,on='anime_id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7.809518266304029\n"
     ]
    }
   ],
   "source": [
    "mainmean=df_movies_rec['rating_x'].mean()\n",
    "print(mainmean)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\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_x</th>\n",
       "      <th>members</th>\n",
       "      <th>hexcode</th>\n",
       "      <th>user_id</th>\n",
       "      <th>rating_y</th>\n",
       "    </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",
       "      <td>2</td>\n",
       "      <td>99</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</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",
       "      <td>2</td>\n",
       "      <td>152</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</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",
       "      <td>2</td>\n",
       "      <td>244</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</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",
       "      <td>2</td>\n",
       "      <td>271</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</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",
       "      <td>2</td>\n",
       "      <td>278</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   anime_id            name                                 genre   type  \\\n",
       "0     32281  Kimi no Na wa.  Drama, Romance, School, Supernatural  Movie   \n",
       "1     32281  Kimi no Na wa.  Drama, Romance, School, Supernatural  Movie   \n",
       "2     32281  Kimi no Na wa.  Drama, Romance, School, Supernatural  Movie   \n",
       "3     32281  Kimi no Na wa.  Drama, Romance, School, Supernatural  Movie   \n",
       "4     32281  Kimi no Na wa.  Drama, Romance, School, Supernatural  Movie   \n",
       "\n",
       "   episodes  rating_x  members  hexcode  user_id  rating_y  \n",
       "0         1      9.37   200630        2       99         5  \n",
       "1         1      9.37   200630        2      152        10  \n",
       "2         1      9.37   200630        2      244        10  \n",
       "3         1      9.37   200630        2      271        10  \n",
       "4         1      9.37   200630        2      278        -1  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_movies_rec.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\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>episodes</th>\n",
       "      <th>rating_x</th>\n",
       "      <th>members</th>\n",
       "      <th>hexcode</th>\n",
       "      <th>user_id</th>\n",
       "      <th>rating_y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1.051909e+06</td>\n",
       "      <td>1.051909e+06</td>\n",
       "      <td>1.051909e+06</td>\n",
       "      <td>1.051909e+06</td>\n",
       "      <td>1.051909e+06</td>\n",
       "      <td>1.051909e+06</td>\n",
       "      <td>1.051909e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5.089078e+03</td>\n",
       "      <td>1.039205e+00</td>\n",
       "      <td>7.809518e+00</td>\n",
       "      <td>1.065021e+05</td>\n",
       "      <td>4.722293e+00</td>\n",
       "      <td>3.698063e+04</td>\n",
       "      <td>6.142736e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>6.353816e+03</td>\n",
       "      <td>3.164177e-01</td>\n",
       "      <td>6.210914e-01</td>\n",
       "      <td>9.936423e+04</td>\n",
       "      <td>1.299121e+00</td>\n",
       "      <td>2.092286e+04</td>\n",
       "      <td>3.823369e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>5.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.920000e+00</td>\n",
       "      <td>4.000000e+01</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>-1.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>5.720000e+02</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>7.420000e+00</td>\n",
       "      <td>3.737900e+04</td>\n",
       "      <td>4.000000e+00</td>\n",
       "      <td>1.931000e+04</td>\n",
       "      <td>5.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2.236000e+03</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>7.790000e+00</td>\n",
       "      <td>7.628600e+04</td>\n",
       "      <td>5.000000e+00</td>\n",
       "      <td>3.785300e+04</td>\n",
       "      <td>8.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>7.711000e+03</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>8.300000e+00</td>\n",
       "      <td>1.402770e+05</td>\n",
       "      <td>6.000000e+00</td>\n",
       "      <td>5.481800e+04</td>\n",
       "      <td>9.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>3.413600e+04</td>\n",
       "      <td>1.400000e+01</td>\n",
       "      <td>9.500000e+00</td>\n",
       "      <td>4.662540e+05</td>\n",
       "      <td>7.000000e+00</td>\n",
       "      <td>7.351500e+04</td>\n",
       "      <td>1.000000e+01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           anime_id      episodes      rating_x       members       hexcode  \\\n",
       "count  1.051909e+06  1.051909e+06  1.051909e+06  1.051909e+06  1.051909e+06   \n",
       "mean   5.089078e+03  1.039205e+00  7.809518e+00  1.065021e+05  4.722293e+00   \n",
       "std    6.353816e+03  3.164177e-01  6.210914e-01  9.936423e+04  1.299121e+00   \n",
       "min    5.000000e+00  1.000000e+00  1.920000e+00  4.000000e+01  0.000000e+00   \n",
       "25%    5.720000e+02  1.000000e+00  7.420000e+00  3.737900e+04  4.000000e+00   \n",
       "50%    2.236000e+03  1.000000e+00  7.790000e+00  7.628600e+04  5.000000e+00   \n",
       "75%    7.711000e+03  1.000000e+00  8.300000e+00  1.402770e+05  6.000000e+00   \n",
       "max    3.413600e+04  1.400000e+01  9.500000e+00  4.662540e+05  7.000000e+00   \n",
       "\n",
       "            user_id      rating_y  \n",
       "count  1.051909e+06  1.051909e+06  \n",
       "mean   3.698063e+04  6.142736e+00  \n",
       "std    2.092286e+04  3.823369e+00  \n",
       "min    1.000000e+00 -1.000000e+00  \n",
       "25%    1.931000e+04  5.000000e+00  \n",
       "50%    3.785300e+04  8.000000e+00  \n",
       "75%    5.481800e+04  9.000000e+00  \n",
       "max    7.351500e+04  1.000000e+01  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_movies_rec.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_movies_rec.dtypes\n",
    "df_movies_rec['rating_x']=df_movies_rec['rating_x'].astype('float64')\n",
    "df_movies_rec['rating_y']=df_movies_rec['rating_y'].astype('float64')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1051909\n"
     ]
    }
   ],
   "source": [
    "df_movies_rec.name.unique()\n",
    "print(len(df_movies_rec))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "count_node=pd.DataFrame(df_movies_rec.groupby('name')['rating_y'].mean())\n",
    "count_node['num of ratings'] = pd.DataFrame(df_movies_rec.groupby('name')['rating_y'].count())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating_y</th>\n",
       "      <th>num of ratings</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>&amp;quot;Aesop&amp;quot; no Ohanashi yori: Ushi to Kaeru, Yokubatta Inu</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&amp;quot;Bungaku Shoujo&amp;quot; Movie</th>\n",
       "      <td>6.457980</td>\n",
       "      <td>1535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>.hack//G.U. Trilogy</th>\n",
       "      <td>5.347943</td>\n",
       "      <td>1118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>.hack//The Movie: Sekai no Mukou ni</th>\n",
       "      <td>5.147982</td>\n",
       "      <td>446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>009 Re:Cyborg</th>\n",
       "      <td>5.305842</td>\n",
       "      <td>291</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    rating_y  num of ratings\n",
       "name                                                                        \n",
       "&quot;Aesop&quot; no Ohanashi yori: Ushi to Kae...  0.000000               2\n",
       "&quot;Bungaku Shoujo&quot; Movie                    6.457980            1535\n",
       ".hack//G.U. Trilogy                                 5.347943            1118\n",
       ".hack//The Movie: Sekai no Mukou ni                 5.147982             446\n",
       "009 Re:Cyborg                                       5.305842             291"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count_node.sort_values(['rating_y'],ascending=False)\n",
    "count_node.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "count_node.reset_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>rating_y</th>\n",
       "      <th>num of ratings</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>&amp;quot;Aesop&amp;quot; no Ohanashi yori: Ushi to Ka...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>&amp;quot;Bungaku Shoujo&amp;quot; Movie</td>\n",
       "      <td>6.457980</td>\n",
       "      <td>1535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>.hack//G.U. Trilogy</td>\n",
       "      <td>5.347943</td>\n",
       "      <td>1118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>.hack//The Movie: Sekai no Mukou ni</td>\n",
       "      <td>5.147982</td>\n",
       "      <td>446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>009 Re:Cyborg</td>\n",
       "      <td>5.305842</td>\n",
       "      <td>291</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                name  rating_y  num of ratings\n",
       "0  &quot;Aesop&quot; no Ohanashi yori: Ushi to Ka...  0.000000               2\n",
       "1                   &quot;Bungaku Shoujo&quot; Movie  6.457980            1535\n",
       "2                                .hack//G.U. Trilogy  5.347943            1118\n",
       "3                .hack//The Movie: Sekai no Mukou ni  5.147982             446\n",
       "4                                      009 Re:Cyborg  5.305842             291"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count_node.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating_y</th>\n",
       "      <th>num of ratings</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2112.000000</td>\n",
       "      <td>2112.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.537229</td>\n",
       "      <td>498.062973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.578522</td>\n",
       "      <td>1516.235904</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4.350000</td>\n",
       "      <td>14.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>5.535555</td>\n",
       "      <td>156.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>10.000000</td>\n",
       "      <td>22974.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          rating_y  num of ratings\n",
       "count  2112.000000     2112.000000\n",
       "mean      3.537229      498.062973\n",
       "std       2.578522     1516.235904\n",
       "min      -1.000000        1.000000\n",
       "25%       2.000000        2.000000\n",
       "50%       4.350000       14.000000\n",
       "75%       5.535555      156.500000\n",
       "max      10.000000    22974.000000"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count_node.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AADAp4QQAAAAwKeEEAAAAMCnhBAAAADAp4QQAAAAwKeEEAAAAMCnhBAAAADAp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\nCScAAACASQknAAAAgEkJJwAAAIBJ/R/CA6nM3RfVaQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x233d51a8748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(18,5))\n",
    "count_node['num of ratings'].hist(bins=300,color='g',alpha=0.6)\n",
    "plt.title('NUMBER OF RATING DISTRIBUTION OVER THE COUNT')\n",
    "plt.xlim(0,1600)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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DAEtgJAEAcDwtmmDo7iccYdfDF6jbSZ46NigAAABgbTnWKRIAAAAAd5FgAAAA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\nMAAAAACjSTAAAAAAo/3/v4+pSjc7o0EAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x233d50bb860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(18,5))\n",
    "count_node['rating_y'].hist(bins=30,color='y',alpha=0.4)\n",
    "plt.title('RATING DISTRIBUTION OVER THE COUNT')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "genre_sets=set()\n",
    "for i in df_movies['genre']:\n",
    "    k=i.split(',')\n",
    "    for i in k:\n",
    "        genre_sets.add(str(i))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x233d5643898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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m5s7hDunp6Z1huq2trdswiKuvvlr79+8/blvz5s3T1772NV1wwQWaPn261q5d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IAAAM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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x233d53e1588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,5))\n",
    "sns.jointplot(x='rating_y',y='num of ratings',data=count_node,color='#2ecc71',size=10,kind='reg')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_genre_mov =pd.DataFrame(df_movies[['name','genre']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>name</th>\n",
       "      <th>genre</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Kimi no Na wa.</td>\n",
       "      <td>Drama, Romance, School, Supernatural</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>8</td>\n",
       "      <td>Gintama Movie: Kanketsu-hen - Yorozuya yo Eien...</td>\n",
       "      <td>Action, Comedy, Historical, Parody, Samurai, S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>11</td>\n",
       "      <td>Koe no Katachi</td>\n",
       "      <td>Drama, School, Shounen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>15</td>\n",
       "      <td>Sen to Chihiro no Kamikakushi</td>\n",
       "      <td>Adventure, Drama, Supernatural</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>18</td>\n",
       "      <td>Ookami Kodomo no Ame to Yuki</td>\n",
       "      <td>Fantasy, Slice of Life</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index                                               name  \\\n",
       "0      0                                     Kimi no Na wa.   \n",
       "1      8  Gintama Movie: Kanketsu-hen - Yorozuya yo Eien...   \n",
       "2     11                                     Koe no Katachi   \n",
       "3     15                      Sen to Chihiro no Kamikakushi   \n",
       "4     18                       Ookami Kodomo no Ame to Yuki   \n",
       "\n",
       "                                               genre  \n",
       "0               Drama, Romance, School, Supernatural  \n",
       "1  Action, Comedy, Historical, Parody, Samurai, S...  \n",
       "2                             Drama, School, Shounen  \n",
       "3                     Adventure, Drama, Supernatural  \n",
       "4                             Fantasy, Slice of Life  "
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_genre_mov.reset_index(inplace=True)\n",
    "df_genre_mov.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_genre_mov.set_index('name',inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\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>user_id</th>\n",
       "      <th>anime_id</th>\n",
       "      <th>rating_x</th>\n",
       "      <th>name</th>\n",
       "      <th>genre</th>\n",
       "      <th>type</th>\n",
       "      <th>episodes</th>\n",
       "      <th>rating_y</th>\n",
       "      <th>members</th>\n",
       "      <th>hexcode</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>442</td>\n",
       "      <td>-1</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",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   user_id  anime_id  rating_x  \\\n",
       "0        1       442        -1   \n",
       "\n",
       "                                                name  \\\n",
       "0  Naruto Movie 1: Dai Katsugeki!! Yuki Hime Shin...   \n",
       "\n",
       "                                               genre   type  episodes  \\\n",
       "0  Adventure, Comedy, Drama, Historical, Shounen,...  Movie         1   \n",
       "\n",
       "   rating_y  members  hexcode  \n",
       "0      7.17   120571        6  "
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_main=pd.merge(df_rate,df_movies,on='anime_id')\n",
    "df_main.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "del df_main['anime_id']\n",
    "del df_main['rating_x']\n",
    "del df_main['genre']\n",
    "del df_main['members']\n",
    "del df_main['type']\n",
    "del df_main['episodes']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user_id</th>\n",
       "      <th>name</th>\n",
       "      <th>rating_y</th>\n",
       "      <th>hexcode</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Naruto Movie 1: Dai Katsugeki!! Yuki Hime Shin...</td>\n",
       "      <td>7.17</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   user_id                                               name  rating_y  \\\n",
       "0        1  Naruto Movie 1: Dai Katsugeki!! Yuki Hime Shin...      7.17   \n",
       "\n",
       "   hexcode  \n",
       "0        6  "
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_main.head(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Generating suggestion on mainmean rating and comparing mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def rec_mov(name_):\n",
    "    rating_name_=count_node[count_node['name']==name_]\n",
    "    #print(rating_name_)\n",
    "    k_genre_list=df_genre_mov.loc[name_]['genre'].split(',')\n",
    "    for i in range(len(k_genre_list)):\n",
    "        k_genre_list[i]=k_genre_list[i].strip()\n",
    "    df_suggest=df_genre_mov[df_genre_mov.isin(k_genre_list)]\n",
    "    df_suggest.dropna(subset=['genre'],inplace=True)\n",
    "    df_suggest.reset_index(inplace=True)\n",
    "    df_joint=pd.merge(df_suggest,count_node,on='name')\n",
    "    df_joint['rating_y']=df_joint['rating_y'].astype('float64')\n",
    "    check=float(rating_name_['rating_y'])\n",
    "    df_joint_1=df_joint.copy()\n",
    "    del df_joint_1['genre']\n",
    "    del rating_name_['name']\n",
    "    del df_joint_1['index']\n",
    "   #print(df_joint_1)\n",
    "    df=df_main.pivot_table(index='user_id',columns='name',values='rating_y')\n",
    "    similar_df=df.corrwith(df[name_])\n",
    "    corr_df = pd.DataFrame(similar_df, columns=['Correlation'])\n",
    "    corr_df.dropna(inplace=True)\n",
    "    corr_df.reset_index(inplace=True)\n",
    "    corr_df=corr_df.merge(count_node,on='name')\n",
    "   #print(corr_df.head(3))\n",
    "    show_recommendation=corr_df[corr_df['num of ratings'] > 100].sort_values(by=['Correlation','num of ratings'], ascending=False).head(10)\n",
    "    del show_recommendation['Correlation']\n",
    "    del show_recommendation['num of ratings']\n",
    "    del show_recommendation['rating_y']\n",
    "    return show_recommendation.head(10)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\tusha\\Anaconda3\\lib\\site-packages\\numpy\\lib\\function_base.py:3154: RuntimeWarning: Degrees of freedom <= 0 for slice\n",
      "  c = cov(x, y, rowvar)\n",
      "C:\\Users\\tusha\\Anaconda3\\lib\\site-packages\\numpy\\lib\\function_base.py:3088: RuntimeWarning: divide by zero encountered in double_scalars\n",
      "  c *= 1. / np.float64(fact)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>Sen to Chihiro no Kamikakushi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Akira</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>Ghost in the Shell</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>Kara no Kyoukai 1: Fukan Fuukei</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>Naruto: Shippuuden Movie 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>Paprika</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Gake no Ue no Ponyo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>Naruto Movie 3: Dai Koufun! Mikazuki Jima no Animaru Panikku Dattebayo!</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Higashi no Eden Movie I: The King of Eden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>Kara no Kyoukai 5: Mujun Rasen</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                        name\n",
       "176                                            Sen to Chihiro no Kamikakushi\n",
       "5                                                                      Akira\n",
       "72                                                        Ghost in the Shell\n",
       "100                                          Kara no Kyoukai 1: Fukan Fuukei\n",
       "131                                               Naruto: Shippuuden Movie 1\n",
       "150                                                                  Paprika\n",
       "70                                                       Gake no Ue no Ponyo\n",
       "129  Naruto Movie 3: Dai Koufun! Mikazuki Jima no Animaru Panikku Dattebayo!\n",
       "85                                 Higashi no Eden Movie I: The King of Eden\n",
       "104                                           Kara no Kyoukai 5: Mujun Rasen"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def set_pandas_options() -> None:\n",
    "    pd.options.display.max_columns = 1000\n",
    "    pd.options.display.max_rows = 1000\n",
    "    pd.options.display.max_colwidth = 199\n",
    "    pd.options.display.width = None\n",
    "    # pd.options.display.precision = 2  # set as needed\n",
    "\n",
    "set_pandas_options()\n",
    "rec_mov('Kimi no Na wa.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\tusha\\Anaconda3\\lib\\site-packages\\numpy\\lib\\function_base.py:3154: RuntimeWarning: Degrees of freedom <= 0 for slice\n",
      "  c = cov(x, y, rowvar)\n",
      "C:\\Users\\tusha\\Anaconda3\\lib\\site-packages\\numpy\\lib\\function_base.py:3088: RuntimeWarning: divide by zero encountered in double_scalars\n",
      "  c *= 1. / np.float64(fact)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
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       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Sen to Chihiro no Kamikakushi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bleach Movie 1: Memories of Nobody</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Majo no Takkyuubin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Pokemon: Mewtwo no Gyakushuu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Mimi wo Sumaseba</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Kara no Kyoukai 7: Satsujin Kousatsu (Kou)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Blood: The Last Vampire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Tokyo Godfathers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Berserk: Ougon Jidai-hen I - Haou no Tamago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>One Piece Movie 4: Dead End no Bouken</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           name\n",
       "51                Sen to Chihiro no Kamikakushi\n",
       "4            Bleach Movie 1: Memories of Nobody\n",
       "37                           Majo no Takkyuubin\n",
       "47                 Pokemon: Mewtwo no Gyakushuu\n",
       "39                             Mimi wo Sumaseba\n",
       "31   Kara no Kyoukai 7: Satsujin Kousatsu (Kou)\n",
       "6                       Blood: The Last Vampire\n",
       "57                             Tokyo Godfathers\n",
       "2   Berserk: Ougon Jidai-hen I - Haou no Tamago\n",
       "42        One Piece Movie 4: Dead End no Bouken"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rec_mov('Koe no Katachi')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\tusha\\Anaconda3\\lib\\site-packages\\numpy\\lib\\function_base.py:3154: RuntimeWarning: Degrees of freedom <= 0 for slice\n",
      "  c = cov(x, y, rowvar)\n",
      "C:\\Users\\tusha\\Anaconda3\\lib\\site-packages\\numpy\\lib\\function_base.py:3088: RuntimeWarning: divide by zero encountered in double_scalars\n",
      "  c *= 1. / np.float64(fact)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>Howl no Ugoku Shiro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Byousoku 5 Centimeter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Bleach Movie 1: Memories of Nobody</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Bleach Movie 2: The DiamondDust Rebellion - Mou Hitotsu no Hyourinmaru</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Bleach Movie 3: Fade to Black - Kimi no Na wo Yobu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>Kotonoha no Niwa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>Kara no Kyoukai 2: Satsujin Kousatsu (Zen)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>Naruto Movie 3: Dai Koufun! Mikazuki Jima no Animaru Panikku Dattebayo!</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>Pokemon: Maboroshi no Pokemon Lugia Bakutan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>Kara no Kyoukai 4: Garan no Dou</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                        name\n",
       "153                                                      Howl no Ugoku Shiro\n",
       "45                                                     Byousoku 5 Centimeter\n",
       "30                                        Bleach Movie 1: Memories of Nobody\n",
       "31    Bleach Movie 2: The DiamondDust Rebellion - Mou Hitotsu no Hyourinmaru\n",
       "32                        Bleach Movie 3: Fade to Black - Kimi no Na wo Yobu\n",
       "182                                                         Kotonoha no Niwa\n",
       "167                               Kara no Kyoukai 2: Satsujin Kousatsu (Zen)\n",
       "220  Naruto Movie 3: Dai Koufun! Mikazuki Jima no Animaru Panikku Dattebayo!\n",
       "264                              Pokemon: Maboroshi no Pokemon Lugia Bakutan\n",
       "169                                          Kara no Kyoukai 4: Garan no Dou"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rec_mov('.hack//G.U. Trilogy')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\tusha\\Anaconda3\\lib\\site-packages\\numpy\\lib\\function_base.py:3154: RuntimeWarning: Degrees of freedom <= 0 for slice\n",
      "  c = cov(x, y, rowvar)\n",
      "C:\\Users\\tusha\\Anaconda3\\lib\\site-packages\\numpy\\lib\\function_base.py:3088: RuntimeWarning: divide by zero encountered in double_scalars\n",
      "  c *= 1. / np.float64(fact)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
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       "    .dataframe thead th {\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>Neon Genesis Evangelion: The End of Evangelion</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Bleach Movie 2: The DiamondDust Rebellion - Mou Hitotsu no Hyourinmaru</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>Evangelion: 2.0 You Can (Not) Advance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350</th>\n",
       "      <td>Ookami Kodomo no Ame to Yuki</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>Hotarubi no Mori e</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>Gake no Ue no Ponyo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>Naruto Movie 2: Dai Gekitotsu! Maboroshi no Chiteiiseki Dattebayo!</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>Naruto: Shippuuden Movie 2 - Kizuna</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>Neon Genesis Evangelion: Death &amp;amp; Rebirth</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>Kara no Kyoukai 5: Mujun Rasen</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                       name\n",
       "325                          Neon Genesis Evangelion: The End of Evangelion\n",
       "41   Bleach Movie 2: The DiamondDust Rebellion - Mou Hitotsu no Hyourinmaru\n",
       "143                                   Evangelion: 2.0 You Can (Not) Advance\n",
       "350                                            Ookami Kodomo no Ame to Yuki\n",
       "202                                                      Hotarubi no Mori e\n",
       "156                                                     Gake no Ue no Ponyo\n",
       "315      Naruto Movie 2: Dai Gekitotsu! Maboroshi no Chiteiiseki Dattebayo!\n",
       "318                                     Naruto: Shippuuden Movie 2 - Kizuna\n",
       "324                            Neon Genesis Evangelion: Death &amp; Rebirth\n",
       "235                                          Kara no Kyoukai 5: Mujun Rasen"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rec_mov('Ookami Kodomo no Ame to Yuki')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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