genres_comparison_approaches.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "import seaborn as sns\n",
    "import re\n",
    "from matplotlib.ticker import FuncFormatter\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.style.use('seaborn')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "animes = pd.read_csv('anime_cleaned.csv')\n",
    "animes = animes.rename(columns={'genre': 'genres', 'studio': 'studios'})\n",
    "animes = animes.iloc[0:10]\n",
    "animes = animes.set_index('anime_id')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "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>title</th>\n",
       "      <th>genres</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>anime_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11013</th>\n",
       "      <td>Inu x Boku SS</td>\n",
       "      <td>Comedy, Supernatural, Romance, Shounen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2104</th>\n",
       "      <td>Seto no Hanayome</td>\n",
       "      <td>Comedy, Parody, Romance, School, Shounen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5262</th>\n",
       "      <td>Shugo Chara!! Doki</td>\n",
       "      <td>Comedy, Magic, School, Shoujo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>721</th>\n",
       "      <td>Princess Tutu</td>\n",
       "      <td>Comedy, Drama, Magic, Romance, Fantasy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12365</th>\n",
       "      <td>Bakuman. 3rd Season</td>\n",
       "      <td>Comedy, Drama, Romance, Shounen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6586</th>\n",
       "      <td>Yume-iro Pâtissière</td>\n",
       "      <td>Kids, School, Shoujo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>Ultra Maniac</td>\n",
       "      <td>Magic, Comedy, Romance, School, Shoujo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2787</th>\n",
       "      <td>Shakugan no Shana II (Second)</td>\n",
       "      <td>Action, Drama, Fantasy, Romance, School, Super...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4477</th>\n",
       "      <td>Nodame Cantabile: Paris-hen</td>\n",
       "      <td>Music, Slice of Life, Comedy, Romance, Josei</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>853</th>\n",
       "      <td>Ouran Koukou Host Club</td>\n",
       "      <td>Comedy, Harem, Romance, School, Shoujo</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  title  \\\n",
       "anime_id                                  \n",
       "11013                     Inu x Boku SS   \n",
       "2104                   Seto no Hanayome   \n",
       "5262                 Shugo Chara!! Doki   \n",
       "721                       Princess Tutu   \n",
       "12365               Bakuman. 3rd Season   \n",
       "6586                Yume-iro Pâtissière   \n",
       "178                        Ultra Maniac   \n",
       "2787      Shakugan no Shana II (Second)   \n",
       "4477        Nodame Cantabile: Paris-hen   \n",
       "853              Ouran Koukou Host Club   \n",
       "\n",
       "                                                     genres  \n",
       "anime_id                                                     \n",
       "11013                Comedy, Supernatural, Romance, Shounen  \n",
       "2104               Comedy, Parody, Romance, School, Shounen  \n",
       "5262                          Comedy, Magic, School, Shoujo  \n",
       "721                  Comedy, Drama, Magic, Romance, Fantasy  \n",
       "12365                       Comedy, Drama, Romance, Shounen  \n",
       "6586                                   Kids, School, Shoujo  \n",
       "178                  Magic, Comedy, Romance, School, Shoujo  \n",
       "2787      Action, Drama, Fantasy, Romance, School, Super...  \n",
       "4477           Music, Slice of Life, Comedy, Romance, Josei  \n",
       "853                  Comedy, Harem, Romance, School, Shoujo  "
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "animes[['title', 'genres']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fb2b0713e10>"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb2b06ece48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "genres = animes['genres'].apply(lambda x: x.replace(' ', '').split(','))\n",
    "genres = pd.Series([y for x in genres for y in x if y != '']).value_counts()\n",
    "genres.plot(kind='bar', figsize=(8, 5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb2b070b4a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(genres / genres.sum()).plot(kind='bar', figsize=(8, 5))\n",
    "plt.gca().yaxis.set_major_formatter(FuncFormatter(lambda y, _: '{:.0%}'.format(y)))  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "genres_list = animes['genres'].apply(lambda x: x.replace(' ', ''))\n",
    "# can not use reverse isin, must use str.contains\n",
    "genres_occurence = pd.Series({genre: genres_list.str.contains(genre).sum() for genre in genres.index})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fb2b0e5c5c0>"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb2b05ef860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "genres_occurence.plot(kind='bar', figsize=(8, 5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb2b0b80ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(genres_occurence / animes.shape[0]).plot(kind='bar', figsize=(8, 5))\n",
    "plt.gca().yaxis.set_major_formatter(FuncFormatter(lambda y, _: '{:.0%}'.format(y)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "genres_arr = animes['genres'].apply(lambda x: x.replace(' ', '').split(',')).apply(pd.Series).stack().to_frame(name='genre')\n",
    "genres_arr.index.levels[0].name = 'anime_id'\n",
    "animes_genres = pd.merge(animes, genres_arr, how='inner', left_index=True, right_index=True)\n",
    "animes_genres = animes_genres[animes_genres['genre'] != '']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fb2b09c1e10>"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb2b098b5c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "animes_genres['genre'].value_counts().plot(kind='bar', figsize=(8, 5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb2b046a278>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(animes_genres['genre'].value_counts() / animes_genres['genre'].size).sort_index().plot(kind='bar', figsize=(8, 5))\n",
    "plt.gca().yaxis.set_major_formatter(FuncFormatter(lambda y, _: '{:.0%}'.format(y)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb2b128acc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(animes_genres['genre'].value_counts() / animes_genres.index.levels[0].size).sort_index().plot(kind='bar', figsize=(8, 5))\n",
    "plt.gca().yaxis.set_major_formatter(FuncFormatter(lambda y, _: '{:.0%}'.format(y)))  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb2b0077978>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(genres_occurence / animes.shape[0]).plot(kind='bar', figsize=(8, 5))\n",
    "plt.gca().yaxis.set_major_formatter(FuncFormatter(lambda y, _: '{:.0%}'.format(y)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
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